| 1 | Carpal tunnel syndrome | FING00000257 | 25.43 |
| 2 | Ankle spacing width | Bone-densitometry of heel | UKBB00000035 | 25.25 |
| 3 | Forced expiratory volume in 1-second (FEV1), predicted | Spirometry | UKBB00000252 | 23.88 |
| 4 | Height | GCST90018739 | 23.68 |
| 5 | What is your height? (cm, inv-normal transformed) | GCST90475368 | 22.93 |
| 6 | height (minimum, inv-normal transformed) | GCST90475365 | 22.19 |
| 7 | Hallux valgus (acquired) | FING00000601 | 22.06 |
| 8 | height (mean, inv-normal transformed) | GCST90475362 | 21.96 |
| 9 | Height (maximum, inv-normal transformed) | GCST90475359 | 21.87 |
| 10 | Comparative height size at age 10 | Early life factors | UKBB00000143 | 21.32 |
| 11 | Hand grip strength (baseline) | GCST90565845 | 20.21 |
| 12 | Hand grip strength right (UKB data field 47) | GCST90468169 | 20.04 |
| 13 | Height (baseline) | GCST90565843 | 18.92 |
| 14 | Height | GCST90302890 | 18.68 |
| 15 | Standing height | Body size measures | UKBB00000796 | 18.60 |
| 16 | Hand grip strength (right) | Hand grip strength | UKBB00000301 | 18.16 |
| 17 | Appendicular lean mass | GCST90000025 | 17.94 |
| 18 | Standing height (UKB data field 50) | GCST90468178 | 17.47 |
| 19 | Appendicular lean mass | GCST90000027 | 17.34 |
| 20 | Height, inverse-rank normalized | FING00000607 | 17.19 |
| 21 | Height | GCST90278637 | 17.17 |
| 22 | Appendicular lean mass | GCST90000026 | 16.95 |
| 23 | Waist circumference adjusted for body mass index | GCST90302892 | 16.68 |
| 24 | Height (standard GWA) | GCST90267284 | 16.67 |
| 25 | Femur length to body height ratio | GCST90270256 | 16.29 |
| 26 | Heel bone mineral density (BMD) T-score, automated | Bone-densitometry of heel | UKBB00000318 | 16.07 |
| 27 | Heel quantitative ultrasound index (QUI), direct entry | Bone-densitometry of heel | UKBB00000324 | 16.07 |
| 28 | Physical function (baseline) | GCST90565837 | 15.94 |
| 29 | Sitting height | Body size measures | UKBB00000771 | 15.83 |
| 30 | Hand grip strength left (UKB data field 46) | GCST90468168 | 15.53 |
| 31 | Heel bone mineral density (BMD) | Bone-densitometry of heel | UKBB00000315 | 15.49 |
| 32 | Heel Broadband ultrasound attenuation, direct entry | Bone-densitometry of heel | UKBB00000321 | 15.19 |
| 33 | Tibia length to body height ratio | GCST90270258 | 14.84 |
| 34 | Whole body water mass (UKB data field 23102) | GCST90468184 | 14.81 |
| 35 | Open-angle glaucoma (PheCode 365.1) | GCST90475872 | 14.75 |
| 36 | Impedance of arm left (UKB data field 23110) | GCST90468171 | 14.67 |
| 37 | Impedance of arm right (UKB data field 23109) | GCST90468172 | 14.51 |
| 38 | Body size (confirmatory factor analysis Factor 21) | GCST90309355 | 14.48 |
| 39 | Impedance of arm (right) | Impedance measures | UKBB00000357 | 14.31 |
| 40 | Autorefraction - 6mm strong meridian (left) | Eyesight | UKBB00000075 | 14.18 |
| 41 | Hand grip strength (left) | Hand grip strength | UKBB00000300 | 14.12 |
| 42 | Glaucoma | GCST90475869 | 14.07 |
| 43 | Autorefraction - 6mm weak meridian (left) | Eyesight | UKBB00000079 | 13.98 |
| 44 | Height | GCST90025949 | 13.96 |
| 45 | Hallux valgus (Bunion) (PheCode 735.3) | GCST90476251 | 13.91 |
| 46 | Synovitis and tenosynovitis (PheCode 727.1) | GCST90476242 | 13.86 |
| 47 | Seated height | Body size measures | UKBB00000763 | 13.84 |
| 48 | Waist circumference adjusted for body mass index | GCST90020029 | 13.57 |
| 49 | Heel quantitative ultrasound index (QUI), direct entry (left) | Bone-densitometry of heel | UKBB00000322 | 13.52 |
| 50 | Heel bone mineral density (BMD) T-score, automated (left) | Bone-densitometry of heel | UKBB00000316 | 13.52 |
| 51 | Heel bone mineral density | GCST006288 | 13.48 |
| 52 | Height (weighted GWA) | GCST90267285 | 13.42 |
| 53 | Trunk predicted mass | Impedance measures | UKBB00000866 | 13.38 |
| 54 | Trunk fat-free mass | Impedance measures | UKBB00000865 | 13.35 |
| 55 | Heel bone mineral density (BMD) (left) | Bone-densitometry of heel | UKBB00000313 | 13.18 |
| 56 | Kyphosis (MTAG) | GCST90570047 | 13.07 |
| 57 | Lung function (FVC) | GCST007429 | 12.97 |
| 58 | Pulse pressure | GCST90301701 | 12.83 |
| 59 | Multi-trait sex score | GCST90270118 | 12.80 |
| 60 | Autorefraction - 3mm weak meridian (right) | Eyesight | UKBB00000070 | 12.78 |
| 61 | Impedance of arm (left) | Impedance measures | UKBB00000356 | 12.78 |
| 62 | Autorefraction - 6mm weak meridian (right) | Eyesight | UKBB00000080 | 12.70 |
| 63 | Peak expiratory flow (UKB data field 3064) | GCST90468176 | 12.58 |
| 64 | Autorefraction - 3mm weak meridian (left) | Eyesight | UKBB00000069 | 12.49 |
| 65 | Intra-ocular pressure, Goldmann-correlated (left) | Intraocular pressure | UKBB00000376 | 12.28 |
| 66 | Autorefraction - 6mm strong meridian (right) | Eyesight | UKBB00000076 | 12.19 |
| 67 | Pelvic width | GCST90448911 | 11.98 |
| 68 | Hip circumference adjusted for BMI | GCST90020028 | 11.95 |
| 69 | Treatment speciality of consultant (recoded) - Ophthalmology | Summary Administration | UKBB00000835 | 11.94 |
| 70 | Pulse pressure | GCST90301703 | 11.93 |
| 71 | Heel bone mineral density (BMD) (right) | Bone-densitometry of heel | UKBB00000314 | 11.90 |
| 72 | Whole body fat free mass (UKB data field 23101) | GCST90428120 | 11.79 |
| 73 | Pulse pressure | GCST90301702 | 11.76 |
| 74 | Autorefraction - 3mm strong meridian (right) | Eyesight | UKBB00000066 | 11.70 |
| 75 | RET levels | GCST90470458 | 11.65 |
| 76 | Heel quantitative ultrasound index (QUI), direct entry (right) | Bone-densitometry of heel | UKBB00000323 | 11.60 |
| 77 | Heel bone mineral density (BMD) T-score, automated (right) | Bone-densitometry of heel | UKBB00000317 | 11.60 |
| 78 | Oblique pelvic inlet length | GCST90448909 | 11.38 |
| 79 | Autorefraction - 3mm strong meridian (left) | Eyesight | UKBB00000065 | 11.35 |
| 80 | Impedance of whole body (UKB data field 23106) | GCST90468173 | 11.31 |
| 81 | Whole body water mass | Impedance measures | UKBB00000916 | 11.26 |
| 82 | Pulse pressure | GCST90472785 | 11.25 |
| 83 | Forced vital capacity (FVC) | Spirometry | UKBB00000254 | 11.21 |
| 84 | Eye conditions (confirmatory factor analysis Factor 25) | GCST90309359 | 11.21 |
| 85 | Hip index | GCST90020026 | 11.11 |
| 86 | Arm predicted mass (right) | Impedance measures | UKBB00000050 | 11.05 |
| 87 | Iliac isthmus breadth | GCST90448907 | 11.04 |
| 88 | A body shape index | GCST90020024 | 10.96 |
| 89 | Waist circumference adjusted for body mass index | GCST012226 | 10.95 |
| 90 | Whole body fat-free mass | Impedance measures | UKBB00000915 | 10.95 |
| 91 | Arm fat-free mass (right) | Impedance measures | UKBB00000048 | 10.90 |
| 92 | Inguinal hernia | FING00000681 | 10.87 |
| 93 | Basal metabolic rate (UKB data field 23105) | GCST90468159 | 10.86 |
| 94 | Arm predicted mass (left) | Impedance measures | UKBB00000049 | 10.75 |
| 95 | Inguinal hernia | digestive | UKBB00000362 | 10.73 |
| 96 | Pelvic inlet width | GCST90448910 | 10.72 |
| 97 | Ventral hernia (PheCode 550.5) | GCST90476063 | 10.71 |
| 98 | Diverticulosis and diverticulitis | digestive | UKBB00000191 | 10.68 |
| 99 | Prescriptions - latanoprost | prostaglandin analog | UKBB00000686 | 10.67 |
| 100 | Diverticulosis | digestive | UKBB00000190 | 10.65 |
| 101 | Pulse pressure | GCST90472783 | 10.55 |
| 102 | Impedance of whole body | Impedance measures | UKBB00000360 | 10.53 |
| 103 | Pulse pressure, automated reading | Cardiovascular measurement | UKBB00000714 | 10.46 |
| 104 | Pulse pressure, combined automated + manual reading | Cardiovascular measurement | UKBB00000719 | 10.42 |
| 105 | Pulse pressure, automated reading | Cardiovascular measurement | UKBB00000715 | 10.42 |
| 106 | Hip width to body height ratio | GCST90270260 | 10.40 |
| 107 | Diverticular disease of intestine | Other diseases of intestines | UKBB00000189 | 10.38 |
| 108 | Hip circumference adjusted for BMI | GCST012227 | 10.38 |
| 109 | Pulse pressure, combined automated + manual reading | Cardiovascular measurement | UKBB00000718 | 10.36 |
| 110 | Intra-ocular pressure, Goldmann-correlated (right) | Intraocular pressure | UKBB00000377 | 10.31 |
| 111 | Corneal resistance factor | GCST90100568 | 10.22 |
| 112 | Arm fat-free mass (left) | Impedance measures | UKBB00000047 | 10.15 |
| 113 | Aortic aneurysm | FING00000102 | 10.15 |
| 114 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 42) | GCST90320605 | 10.12 |
| 115 | Impedance of leg (left) | Impedance measures | UKBB00000358 | 10.09 |
| 116 | Intraocular pressure (confirmatory factor analysis Factor 26) | GCST90309360 | 9.92 |
| 117 | QC T1-to-standard nonlinear alignment discrepancy | GCST90006346 | 9.90 |
| 118 | Main speciality of consultant (recoded) - Ophthalmology | Summary Administration | UKBB00000419 | 9.90 |
| 119 | Impedance of leg (right) | Impedance measures | UKBB00000359 | 9.83 |
| 120 | Abdominal hernia | digestive | UKBB00000002 | 9.74 |
| 121 | Forced vital capacity FVC Z score (UKB data field 20257) | GCST90468167 | 9.71 |
| 122 | Corneal hysteresis (right) | Intraocular pressure | UKBB00000149 | 9.71 |
| 123 | Hip index | GCST012229 | 9.64 |
| 124 | Pulse pressure | GCST90472784 | 9.58 |
| 125 | Waist-to-Hip ratio | Body measurement | UKBB00000905 | 9.56 |
| 126 | Heel broadband ultrasound attenuation (left) | Bone-densitometry of heel | UKBB00000319 | 9.56 |
| 127 | Operative procedures - Primary repair of inguinal hernia using insert of prosthetic material | Summary Operations | UKBB00000587 | 9.50 |
| 128 | aparc-Desikan lh area lingual | GCST90003085 | 9.42 |
| 129 | Fat-free mass | GCST007063 | 9.37 |
| 130 | IDP dMRI TBSS MD Pontine crossing tract | GCST90004028 | 9.36 |
| 131 | Kidney volume | GCST90016670 | 9.32 |
| 132 | Knee osteoarthritis | GCST007090 | 9.31 |
| 133 | Anterior thigh muscle volume | GCST90267349 | 9.23 |
| 134 | Multi-trait sex score | GCST90270116 | 9.19 |
| 135 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 24) | GCST90320587 | 9.18 |
| 136 | Leg fat-free mass (right) | Impedance measures | UKBB00000394 | 9.11 |
| 137 | Waist-hip index | GCST90020027 | 9.07 |
| 138 | Leg predicted mass (right) | Impedance measures | UKBB00000397 | 9.04 |
| 139 | Basal metabolic rate | Impedance measures | UKBB00000086 | 9.00 |
| 140 | Humerus length to body height ratio | GCST90270259 | 8.97 |
| 141 | IDP dMRI TBSS L2 Pontine crossing tract | GCST90004124 | 8.92 |
| 142 | Inguinal hernia | Hernia | UKBB00000363 | 8.87 |
| 143 | Calcific aortic valvular stenosis, operated | FING00000234 | 8.87 |
| 144 | Pulse pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurement | UKBB00000721 | 8.86 |
| 145 | Age-related eyesight deterioration (confirmatory factor analysis Factor 27) | GCST90309361 | 8.85 |
| 146 | Waist-to-hip ratio adjusted for BMI | GCST90020025 | 8.81 |
| 147 | Pulse pressure | GCST90310296 | 8.80 |
| 148 | Other aneurysm (PheCode 442) | GCST90475992 | 8.78 |
| 149 | TNXB levels | GCST90470930 | 8.74 |
| 150 | Pulse pressure, automated reading, adjusted by medication | Cardiovascular measurement | UKBB00000717 | 8.73 |
| 151 | HSPG2/IGFBP6 ratio | GCST90315091 | 8.69 |
| 152 | Pulse pressure, automated reading, adjusted by medication | Cardiovascular measurement | UKBB00000716 | 8.69 |
| 153 | Hernia | FING00000616 | 8.67 |
| 154 | Pulse pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurement | UKBB00000720 | 8.67 |
| 155 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 2) | GCST90320821 | 8.61 |
| 156 | Prescriptions - prostaglandin analog | UKBB00000697 | 8.58 |
| 157 | Aortic aneurysm (PheCode 442.1) | GCST90475993 | 8.57 |
| 158 | aparc-Desikan lh volume cuneus | GCST90002772 | 8.46 |
| 159 | Gestational age at birth (child effect) | GCST90268421 | 8.40 |
| 160 | Central corneal thickness | GCST006366 | 8.40 |
| 161 | Corneal resistance factor | GCST90308682 | 8.25 |
| 162 | Bone density (confirmatory factor analysis Factor 19) | GCST90309353 | 8.25 |
| 163 | aparc-a2009s lh volume G-cuneus | GCST90002935 | 8.24 |
| 164 | LAMB1 levels | GCST90469732 | 8.19 |
| 165 | aparc-DKTatlas lh area lingual | GCST90003245 | 8.19 |
| 166 | Maximum indexed left atrial volume | GCST90019012 | 8.18 |
| 167 | Autorefraction - 6mm strong meridian angle (right) | Eyesight | UKBB00000078 | 8.08 |
| 168 | End-diastolic bi-ventricular shape (principal component 4) | GCST90448483 | 8.04 |
| 169 | Corneal resistance factor (right) | Intraocular pressure | UKBB00000151 | 8.02 |
| 170 | Heel broadband ultrasound attenuation (right) | Bone-densitometry of heel | UKBB00000320 | 7.96 |
| 171 | VCAN levels | GCST90471032 | 7.95 |
| 172 | Haemorrhoids and perianal venous thrombosis | FING00000599 | 7.84 |
| 173 | Fracture of forearm | GCST90281273 | 7.82 |
| 174 | Umbilical hernia | digestive | UKBB00000880 | 7.76 |
| 175 | Peak expiratory flow (PEF) | Spirometry | UKBB00000638 | 7.75 |
| 176 | ASPN levels | GCST90468377 | 7.70 |
| 177 | aparc-pial lh area cuneus | GCST90003145 | 7.69 |
| 178 | SCARA5 levels | GCST90470533 | 7.66 |
| 179 | Descending aorta diameter | GCST90267391 | 7.64 |
| 180 | Corneal resistance factor (left) | Intraocular pressure | UKBB00000150 | 7.61 |
| 181 | Snoring | GCST009761 | 7.52 |
| 182 | Leg fat-free mass (left) | Impedance measures | UKBB00000393 | 7.52 |
| 183 | aparc-Desikan lh area cuneus | GCST90003077 | 7.50 |
| 184 | EGFR/FAP ratio | GCST90314613 | 7.50 |
| 185 | aparc-DKTatlas rh area cuneus | GCST90003268 | 7.48 |
| 186 | Waist-to-hip ratio adjusted for BMI | GCST90025996 | 7.45 |
| 187 | BA-exvivo lh area V2 | GCST90003217 | 7.43 |
| 188 | COL24A1 levels | GCST90468814 | 7.40 |
| 189 | Leg predicted mass (left) | Impedance measures | UKBB00000396 | 7.37 |
| 190 | COL6A3/CST3 ratio | GCST90314174 | 7.35 |
| 191 | Umbilical hernia | Hernia | UKBB00000881 | 7.33 |
| 192 | Primary open angle glaucoma (PheCode 365.11) | GCST90475875 | 7.32 |
| 193 | Contracture of palmar fascia [Dupuytren's disease] | musculoskeletal | UKBB00000146 | 7.29 |
| 194 | Dupuytren's disease | GCST90301252 | 7.27 |
| 195 | Takes medication for Glaucoma? | GCST90475384 | 7.26 |
| 196 | Forced expiratory volume (baseline) | GCST90565844 | 7.25 |
| 197 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 112) | GCST90320931 | 7.23 |
| 198 | HMCN2 levels | GCST90469461 | 7.23 |
| 199 | Operative procedures - Insertion of prosthetic replacement for lens NEC | Summary Operations | UKBB00000583 | 7.19 |
| 200 | Disorders of muscle, ligament, and fascia | musculoskeletal | UKBB00000187 | 7.14 |
| 201 | IDP T1 FAST ROIs L intracalc cortex | GCST90002497 | 7.11 |
| 202 | aparc-Desikan rh area cuneus | GCST90003111 | 7.10 |
| 203 | Coronary angioplasty | FING00000357 | 7.05 |
| 204 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 60) | GCST90320623 | 7.02 |
| 205 | aparc-a2009s lh area G-cuneus | GCST90003307 | 7.02 |
| 206 | BCAN/MOG ratio | GCST90313480 | 6.98 |
| 207 | Forearm length to body height ratio | GCST90270257 | 6.96 |
| 208 | Coronary artery bypass grafting | FING00000358 | 6.95 |
| 209 | DLK1/FAP ratio | GCST90314491 | 6.90 |
| 210 | Corneal hysteresis (left) | Intraocular pressure | UKBB00000148 | 6.82 |
| 211 | Coronary revascularization (ANGIO or CABG) | FING00000360 | 6.71 |
| 212 | Citrate levels | GCST90243442 | 6.71 |
| 213 | Glaucoma (primary open-angle) | GCST90399725 | 6.67 |
| 214 | C7 levels | GCST90422332 | 6.65 |
| 215 | Retinal thickness (functional principal component 2) | GCST90455722 | 6.63 |
| 216 | Occlusion and stenosis of precerebral arteries (PheCode 433.1) | GCST90475986 | 6.62 |
| 217 | Glaucoma (multi-trait analysis) | GCST009722 | 6.59 |
| 218 | NPL levels | GCST90470072 | 6.58 |
| 219 | wg lh intensity-contrast entorhinal | GCST90003797 | 6.58 |
| 220 | aparc-a2009s rh area G-cuneus | GCST90003381 | 6.52 |
| 221 | diastolic blood pressure (DBP, mean, inv-normal transformed) | GCST90475255 | 6.51 |
| 222 | IDP dMRI TBSS MD Corticospinal tract R | GCST90004033 | 6.51 |
| 223 | Lung function (FVC) | GCST90025998 | 6.49 |
| 224 | Female genital prolapse | FING00000535 | 6.48 |
| 225 | BCAN/DPP6 ratio | GCST90313478 | 6.45 |
| 226 | Osteoporosis (PheCode 743.1) | GCST90476259 | 6.42 |
| 227 | Fracture of forearm | FING00000554 | 6.37 |
| 228 | Cystatin C production | GCST90267986 | 6.35 |
| 229 | Autorefraction - 6mm asymmetry index (right) | Eyesight | UKBB00000074 | 6.35 |
| 230 | CBLN4 levels | GCST90468554 | 6.32 |
| 231 | Autorefraction - 6mm asymmetry angle (left) | Eyesight | UKBB00000072 | 6.32 |
| 232 | Hammer toe (acquired) (PheCode 735.21) | GCST90476250 | 6.31 |
| 233 | Waist-hip index | GCST012228 | 6.31 |
| 234 | aparc-DKTatlas lh volume cuneus | GCST90002865 | 6.29 |
| 235 | Aplastic anemia | GCST90018574 | 6.26 |
| 236 | Forced expiratory volume in 1-second (FEV1) | Spirometry | UKBB00000251 | 6.24 |
| 237 | Sleep apnea (MTAG) (adjusted for BMI) | GCST90267364 | 6.20 |
| 238 | Osteoporosis NOS (PheCode 743.11) | GCST90476260 | 6.18 |
| 239 | COL6A3/OGN ratio | GCST90314177 | 6.18 |
| 240 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 79) | GCST90320898 | 6.16 |
| 241 | VSNL1 levels | GCST90471054 | 6.14 |
| 242 | Retinal detachments and breaks | Disorders of choroid and retina | UKBB00000755 | 6.14 |
| 243 | IDP T1 FAST ROIs R occ pole | GCST90002546 | 6.08 |
| 244 | MAMDC2 levels | GCST90469841 | 6.08 |
| 245 | Other hammer toe(s) (acquired) | FING00001054 | 6.01 |
| 246 | Abdominal hernia (PheCode 550) | GCST90476059 | 6.01 |
| 247 | IDP dMRI TBSS MD Superior fronto-occipital fasciculus R | GCST90004069 | 6.01 |
| 248 | VNN2 levels | GCST90618510 | 6.00 |
| 249 | PSG1 levels | GCST90470353 | 6.00 |
| 250 | IDP dMRI ProbtrackX MD ilf l | GCST90004233 | 5.99 |
| 251 | Ankle spacing width (right) | Bone-densitometry of heel | UKBB00000034 | 5.99 |
| 252 | Other cataract | Disorders of lens | UKBB00000602 | 5.97 |
| 253 | BA-exvivo rh area V1 | GCST90003230 | 5.97 |
| 254 | DTI autoptx L3 str r tract | GCST90385217 | 5.97 |
| 255 | Major coronary heart disease event | FING00000746 | 5.92 |
| 256 | Heart failure and coronary heart disease | FING00000604 | 5.91 |
| 257 | ANGPTL7 levels | GCST90468306 | 5.88 |
| 258 | IDP dMRI ProbtrackX L2 ifo l | GCST90004285 | 5.88 |
| 259 | Primary open-angle glaucoma, strict | FING00001214 | 5.87 |
| 260 | Umbilical hernia (PheCode 550.4) | GCST90476062 | 5.86 |
| 261 | COL6A3/COLEC12 ratio | GCST90314173 | 5.85 |
| 262 | Gamma-CEHC levels | GCST90199864 | 5.82 |
| 263 | Endometriosis | GCST90018619 | 5.81 |
| 264 | IDP dMRI ProbtrackX L2 ilf l | GCST90004287 | 5.81 |
| 265 | IDP T1 FIRST left putamen volume | GCST90002440 | 5.81 |
| 266 | Haemorrhoidal disease | GCST90014033 | 5.80 |
| 267 | aparc-DKTatlas rh area pericalcarine | GCST90003284 | 5.80 |
| 268 | aparc-Desikan rh area pericalcarine | GCST90003127 | 5.79 |
| 269 | Angina pectoris | FING00000086 | 5.79 |
| 270 | Waist-to-hip ratio adjusted for BMI | GCST012230 | 5.78 |
| 271 | Retinal breaks without detachment | FING00001258 | 5.78 |
| 272 | TNC levels | GCST90470895 | 5.78 |
| 273 | Nerve, nerve root and plexus disorders | FING00000862 | 5.76 |
| 274 | aparc-pial rh area cuneus | GCST90003178 | 5.75 |
| 275 | Thoracic aortic aneurysm | FING00001357 | 5.74 |
| 276 | Retinal detachments and defects | sense organs | UKBB00000756 | 5.74 |
| 277 | Retinal detachment with retinal defect | sense organs | UKBB00000754 | 5.73 |
| 278 | DTI autoptx L2 str r tract | GCST90385190 | 5.72 |
| 279 | Barrett's esophagus (PheCode 530.13) | GCST90476048 | 5.72 |
| 280 | Diverticulosis and diverticulitis (PheCode 562) | GCST90476073 | 5.71 |
| 281 | Gonarthrosis [arthrosis of knee] | Arthrosis | UKBB00000290 | 5.67 |
| 282 | Spinal stenosis of lumbar region (PheCode 720.1) | GCST90476234 | 5.66 |
| 283 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 102) | GCST90320921 | 5.62 |
| 284 | Valine levels | GCST90243453 | 5.60 |
| 285 | wg lh intensity-contrast temporalpole | GCST90003824 | 5.59 |
| 286 | IDP dMRI ProbtrackX L3 ilf l | GCST90004314 | 5.58 |
| 287 | Varicose veins of lower extremity (PheCode 454.1) | GCST90476013 | 5.56 |
| 288 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 84) | GCST90320903 | 5.56 |
| 289 | Scoliosis | FING00001281 | 5.56 |
| 290 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 127) | GCST90320690 | 5.53 |
| 291 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 41) | GCST90320860 | 5.53 |
| 292 | Glaucoma suspect | FING00000579 | 5.53 |
| 293 | IDP dMRI ProbtrackX MD fma | GCST90004229 | 5.49 |
| 294 | Trunk fat percentage | Impedance measures | UKBB00000864 | 5.49 |
| 295 | Myopia (PheCode 367.1) | GCST90475880 | 5.49 |
| 296 | Unspecified monoarthritis | musculoskeletal | UKBB00000882 | 5.45 |
| 297 | Physical decline (log-difference score) | GCST90565847 | 5.45 |
| 298 | Operative procedures - Palmar fasciectomy | Summary Operations | UKBB00000586 | 5.41 |
| 299 | Fasciitis | musculoskeletal | UKBB00000239 | 5.41 |
| 300 | aparc-pial rh area inferiorparietal | GCST90003181 | 5.39 |
| 301 | CST3/IGFBP6 ratio | GCST90314293 | 5.39 |
| 302 | Cataract | sense organs | UKBB00000120 | 5.37 |
| 303 | DTI autoptx FA str r tract | GCST90385136 | 5.37 |
| 304 | EFEMP1/TGFBR3 ratio | GCST90314597 | 5.37 |
| 305 | Diaphragmatic hernia | digestive | UKBB00000171 | 5.36 |
| 306 | Rotator cuff injury | GCST90044700 | 5.33 |
| 307 | IDP dMRI TBSS MO Middle cerebellar peduncle | GCST90003952 | 5.30 |
| 308 | Peritonsillar abscess | FING00001160 | 5.30 |
| 309 | Diverticular disease of intestine | FING00000471 | 5.30 |
| 310 | PSPN levels | GCST90470364 | 5.30 |
| 311 | Operation code - haemorroidectomy / piles surgery/ banding of piles | Operations | UKBB00000557 | 5.30 |
| 312 | BA-exvivo lh area V1 | GCST90003216 | 5.29 |
| 313 | Trigger finger | FING00001376 | 5.29 |
| 314 | Left-hemisphere limbic network to right-hemisphere limbic network white-matter structural connectivity | GCST90302733 | 5.29 |
| 315 | aparc-DKTatlas lh area cuneus | GCST90003237 | 5.28 |
| 316 | BCL2 levels | GCST90468433 | 5.28 |
| 317 | COMP levels | GCST90468827 | 5.27 |
| 318 | Offspring birth weight | GCST005314 | 5.25 |
| 319 | aparc-DKTatlas rh area inferiorparietal | GCST90003271 | 5.24 |
| 320 | ROBO2 levels | GCST90470490 | 5.22 |
| 321 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 75) | GCST90320894 | 5.19 |
| 322 | Autorefraction - 6mm asymmetry index (left) | Eyesight | UKBB00000073 | 5.19 |
| 323 | aparc-DKTatlas lh area pericalcarine | GCST90003253 | 5.16 |
| 324 | Calcific aortic valve stenosis | GCST90310293 | 5.16 |
| 325 | systolic blood pressure (SBP, maximum, inv-normal transformed) | GCST90476400 | 5.14 |
| 326 | A body shape index | GCST012231 | 5.14 |
| 327 | ACVRL1/TNFRSF19 ratio | GCST90313159 | 5.10 |
| 328 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 77) | GCST90320896 | 5.06 |
| 329 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 82) | GCST90320645 | 5.04 |
| 330 | Descending aorta strain | GCST90267389 | 5.04 |
| 331 | Varicose veins (PheCode 454) | GCST90476012 | 5.03 |
| 332 | Ankle spacing width (left) | Bone-densitometry of heel | UKBB00000033 | 5.02 |
| 333 | Diverticulosis (PheCode 562.1) | GCST90476076 | 5.01 |
| 334 | FAP levels | GCST90469189 | 5.01 |
| 335 | IDP dMRI TBSS MD Superior corona radiata R | GCST90004051 | 5.01 |
| 336 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 128) | GCST90320691 | 5.00 |
| 337 | IDP dMRI TBSS L3 Superior corona radiata R | GCST90004195 | 4.99 |
| 338 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 26) | GCST90320845 | 4.98 |
| 339 | Primary gonarthrosis, bilateral | FING00001213 | 4.97 |
| 340 | IDP T1 FAST ROIs L occ pole | GCST90002545 | 4.96 |
| 341 | IGF1 levels | GCST90468078 | 4.96 |
| 342 | PRELP levels | GCST90470321 | 4.94 |
| 343 | systolic blood pressure (SBP, mean, inv-normal transformed) | GCST90476403 | 4.92 |
| 344 | aparc-Desikan rh area inferiorparietal | GCST90003114 | 4.91 |
| 345 | Corneal dystrophy (PheCode 364.5) | GCST90475864 | 4.91 |
| 346 | Autorefraction - 3mm strong meridian angle (right) | Eyesight | UKBB00000068 | 4.90 |
| 347 | CCN3/FAP ratio | GCST90313721 | 4.89 |
| 348 | aparc-pial rh area pericalcarine | GCST90003194 | 4.88 |
| 349 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 28) | GCST90320847 | 4.86 |
| 350 | Palmar fascial fibromatosis [Dupuytren] | FING00001141 | 4.85 |
| 351 | aparc-a2009s lh area S-subparietal | GCST90003367 | 4.84 |
| 352 | CILP levels | GCST90468754 | 4.83 |
| 353 | IDP dMRI TBSS MO Medial lemniscus R | GCST90003960 | 4.81 |
| 354 | FEV1 FVC ratio Z score (UKB data field 20258) | GCST90468165 | 4.78 |
| 355 | Snoring | GCST009763 | 4.77 |
| 356 | Operation code - carpal tunnel surgery | Operations | UKBB00000553 | 4.77 |
| 357 | BOC levels | GCST90468458 | 4.77 |
| 358 | Abdominal aortic aneurysm (PheCode 442.11) | GCST90475994 | 4.77 |
| 359 | Unspecified osteomyelitis (PheCode 710.19) | GCST90476224 | 4.75 |
| 360 | Posterior thigh muscle volume | GCST90267353 | 4.73 |
| 361 | Coronary atherosclerosis | FING00000359 | 4.72 |
| 362 | IDP dMRI TBSS L1 Fornix | GCST90004080 | 4.72 |
| 363 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T9 | ECGU000009 | 4.71 |
| 364 | Peak expiratory flow | GCST007430 | 4.71 |
| 365 | Coronary artery calcification | GCST90278456 | 4.70 |
| 366 | Carotid intima-media thickness (MTAG) | GCST90449061 | 4.70 |
| 367 | IDP T1 FAST ROIs L caudate | GCST90002549 | 4.68 |
| 368 | Acquired foot deformities | musculoskeletal | UKBB00000007 | 4.67 |
| 369 | Primary angle-closure glaucoma (PheCode 365.2) | GCST90475876 | 4.65 |
| 370 | Diverticulitis (PheCode 562.2) | GCST90476077 | 4.63 |
| 371 | Disorders of choroid and retina | FING00000438 | 4.63 |
| 372 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 76) | GCST90320895 | 4.63 |
| 373 | LGALS3 levels | GCST90469761 | 4.61 |
| 374 | CNTN1 levels | GCST90468803 | 4.60 |
| 375 | triglyceride (minimum, inv-norm transformed) | GCST90476439 | 4.58 |
| 376 | aparc-a2009s lh area G-oc-temp-med-Lingual | GCST90003318 | 4.57 |
| 377 | IDP dMRI TBSS L2 Anterior corona radiata L | GCST90004146 | 4.57 |
| 378 | Autorefraction - 3mm strong meridian angle (left) | Eyesight | UKBB00000067 | 4.57 |
| 379 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 125) | GCST90320944 | 4.56 |
| 380 | IDP dMRI ProbtrackX FA ilf l | GCST90003939 | 4.56 |
| 381 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 52) | GCST90320871 | 4.55 |
| 382 | Malignant neoplasm of breast, ER-positive, excluding all cancers (controls excluding all cancers) | FING00000754 | 4.54 |
| 383 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 98) | GCST90320661 | 4.53 |
| 384 | aparc-a2009s lh area S-calcarine | GCST90003340 | 4.51 |
| 385 | Spontaneous coronary artery dissection | GCST90245878 | 4.51 |
| 386 | Ascending aorta diameter | GCST90267390 | 4.50 |
| 387 | aparc-a2009s lh volume G+S-subcentral | GCST90002928 | 4.50 |
| 388 | IDP T1 FAST ROIs R caudate | GCST90002550 | 4.49 |
| 389 | Subpubic angle | GCST90448908 | 4.49 |
| 390 | Hip minimal joint space width | GCST90281365 | 4.48 |
| 391 | Migraine | GCST90468142 | 4.48 |
| 392 | Coronary atherosclerosis (PheCode 411.4) | GCST90043957 | 4.48 |
| 393 | Pulse pressure (BMI adjusted) | GCST90335167 | 4.43 |
| 394 | CTSO levels | GCST90179277 | 4.43 |
| 395 | COL6A3/TAFA5 ratio | GCST90314180 | 4.42 |
| 396 | APP/CD40LG ratio | GCST90313319 | 4.41 |
| 397 | IDP dMRI ProbtrackX ISOVF fma | GCST90004535 | 4.41 |
| 398 | SFRP4 levels | GCST90470611 | 4.41 |
| 399 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 59) | GCST90320878 | 4.40 |
| 400 | COL4A1 levels | GCST90468818 | 4.40 |
| 401 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 11) | GCST90320574 | 4.39 |
| 402 | Bone density T-score | GCST90278620 | 4.39 |
| 403 | IDP dMRI TBSS ICVF Fornix | GCST90004332 | 4.38 |
| 404 | COL6A3/HSPG2 ratio | GCST90314175 | 4.37 |
| 405 | IDP dMRI ProbtrackX L3 ifo r | GCST90004313 | 4.36 |
| 406 | Polyunsaturated fatty acids to total fatty acids percentage (UKB data field 23453) | GCST90269550 | 4.34 |
| 407 | Glaucoma (primary open-angle) | GCST90011766 | 4.33 |
| 408 | What is your weight? (pounds, inv-normal transformed) | GCST90476469 | 4.33 |
| 409 | IDP dMRI TBSS MD Superior corona radiata L | GCST90004052 | 4.31 |
| 410 | DPP10 levels | GCST90469032 | 4.31 |
| 411 | OLR1 levels | GCST90012020 | 4.31 |
| 412 | Fibroblastic disorders | FING00000542 | 4.30 |
| 413 | Glaucoma | FING00000577 | 4.29 |
| 414 | REST UKBBICA NET100 1287 | GCST90387141 | 4.29 |
| 415 | AXL/MSR1 ratio | GCST90313422 | 4.28 |
| 416 | Diaphragmatic hernia | FING00000419 | 4.27 |
| 417 | Autorefraction - 3mm cylindrical power angle (left) | Eyesight | UKBB00000064 | 4.26 |
| 418 | aseg global volume-ratio BrainSegVol-to-eTIV | GCST90002612 | 4.25 |
| 419 | Medication use (salicylic acid and derivatives) | GCST90018775 | 4.25 |
| 420 | Progressive vascular leukoencephalopathy | FING00001218 | 4.25 |
| 421 | Diaphragmatic hernia | Hernia | UKBB00000172 | 4.25 |
| 422 | MYOC levels | GCST90469983 | 4.24 |
| 423 | Forced expiratory volume in 1-second (FEV1), predicted percentage | Spirometry | UKBB00000253 | 4.24 |
| 424 | ADAMTSL2 levels | GCST90468228 | 4.24 |
| 425 | Perforation of tympanic membrane | FING00001155 | 4.24 |
| 426 | Keloid | GCST90652488 | 4.23 |
| 427 | IDP dMRI ProbtrackX L3 ifo l | GCST90004312 | 4.23 |
| 428 | Other diseases of intestines | FING00001001 | 4.22 |
| 429 | triglyceride (mean, inv-norm transformed) | GCST90476435 | 4.22 |
| 430 | Spinal stenosis (PheCode 720) | GCST90476233 | 4.21 |
| 431 | Skin yellow/blue component | GCST90320259 | 4.19 |
| 432 | DBH levels | GCST90468948 | 4.18 |
| 433 | Artrosis, including avohilmo | FING00000112 | 4.18 |
| 434 | Tibiofemoral angle | GCST90270263 | 4.18 |
| 435 | COLEC12/OGN ratio | GCST90314184 | 4.17 |
| 436 | aparc-Desikan lh area pericalcarine | GCST90003093 | 4.16 |
| 437 | Volume of right lateral nucleus | GCST90475034 | 4.16 |
| 438 | IDP dMRI ProbtrackX L1 ilf r | GCST90004261 | 4.16 |
| 439 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 122) | GCST90320941 | 4.16 |
| 440 | Fibroblastic disorders | Other soft tissue disorders | UKBB00000246 | 4.16 |
| 441 | Use of antiglaucoma preparations and miotics | FING00001409 | 4.14 |
| 442 | Corneal opacity and other disorders of cornea (PheCode 364) | GCST90475861 | 4.14 |
| 443 | Abdominal aortic aneurysm (AAA) | FING00000001 | 4.13 |
| 444 | Gonarthrosis | FING00000585 | 4.13 |
| 445 | ANGPTL3/TFPI ratio | GCST90313270 | 4.13 |
| 446 | Liver volume | GCST90566818 | 4.12 |
| 447 | ZNRF4 levels | GCST90471104 | 4.11 |
| 448 | TNC/VCAM1 ratio | GCST90315927 | 4.11 |
| 449 | Incisional hernia (PheCode 550.6) | GCST90476064 | 4.10 |
| 450 | IGF1 levels | UKBB00000337 | 4.10 |
| 451 | aparc-pial lh area pericalcarine | GCST90003161 | 4.09 |
| 452 | Keratoconus | FING00000709 | 4.09 |
| 453 | EPS8L2 levels | GCST90469138 | 4.09 |
| 454 | CDON levels | GCST90468687 | 4.06 |
| 455 | IDP dMRI TBSS L3 Fornix | GCST90004176 | 4.06 |
| 456 | Trigger finger | GCST90104907 | 4.05 |
| 457 | Macular degeneration | GCST90475386 | 4.05 |
| 458 | Phenylalanine levels | GCST90243407 | 4.03 |
| 459 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 90) | GCST90320909 | 4.03 |
| 460 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T363 | ECGU000363 | 4.03 |
| 461 | aparc-a2009s lh thickness S-intrapariet+P-trans | GCST90003658 | 4.03 |
| 462 | Operative procedures - Angiocardiography of left side of heart NEC | Summary Operations | UKBB00000572 | 4.02 |
| 463 | Osteoarthritis of the hip or knee | GCST007092 | 4.02 |
| 464 | Stable angina pectoris | GCST90018695 | 4.01 |
| 465 | Torso length to body height ratio | GCST90270262 | 4.00 |
| 466 | ANGPTL2 levels | GCST90468303 | 4.00 |
| 467 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T4 | ECGU000004 | 4.00 |
| 468 | IDP dMRI TBSS FA Anterior corona radiata R | GCST90003899 | 4.00 |
| 469 | Autorefraction - 3mm weak meridian angle (left) | Eyesight | UKBB00000071 | 3.99 |
| 470 | IDP T1 FIRST right putamen volume | GCST90002441 | 3.99 |
| 471 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 68) | GCST90320631 | 3.98 |
| 472 | Contracture of palmar fascia [Dupuytren's disease] (PheCode 728.71) | GCST90476245 | 3.98 |
| 473 | COMP/DPP4 ratio | GCST90314188 | 3.98 |
| 474 | Intrahepatic cholestasis of pregnancy | GCST90454199 | 3.98 |
| 475 | Disorders of breast | FING00000437 | 3.97 |
| 476 | IDP dMRI ProbtrackX L2 fmi | GCST90004284 | 3.96 |
| 477 | Alzheimer's disease (MTAG) | GCST90449055 | 3.96 |
| 478 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 51) | GCST90320614 | 3.95 |
| 479 | IDP dMRI TBSS L1 Superior fronto-occipital fasciculus R | GCST90004117 | 3.95 |
| 480 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T5 | ECGU000005 | 3.95 |
| 481 | BA-exvivo lh volume V2 | GCST90002845 | 3.95 |
| 482 | Endometriosis | FING00000497 | 3.95 |
| 483 | Non-cancer illness code, self-reported - migraine | Medical conditions | UKBB00000520 | 3.94 |
| 484 | CLMP/TNFRSF19 ratio | GCST90314136 | 3.93 |
| 485 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T367 | ECGU000367 | 3.93 |
| 486 | aparc-DKTatlas rh volume cuneus | GCST90002896 | 3.93 |
| 487 | Glaucoma | GCST90475383 | 3.93 |
| 488 | PLXDC2 levels | GCST90470264 | 3.93 |
| 489 | CD48 levels | GCST90425676 | 3.92 |
| 490 | Cholesteryl esters in chylomicrons and extremely large VLDL (UKB data field 23485) | GCST90269582 | 3.92 |
| 491 | Operation code - inguinal/femoral hernia repair | Operations | UKBB00000561 | 3.92 |
| 492 | Bone density Z-score | GCST90278621 | 3.91 |
| 493 | Birth weight | Early life factors | UKBB00000095 | 3.91 |
| 494 | Chronic Kidney Disease, Stage IV (PheCode 585.34) | GCST90476130 | 3.91 |
| 495 | THBS2 levels | GCST90470854 | 3.90 |
| 496 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 40) | GCST90320859 | 3.90 |
| 497 | aparc-Desikan rh volume cuneus | GCST90002805 | 3.90 |
| 498 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 91) | GCST90320654 | 3.87 |
| 499 | LRRN1 levels | GCST90469806 | 3.87 |
| 500 | Diffuse idiopathic skeletal hyperostosis flow score | GCST90134532 | 3.87 |
| 501 | LTBR levels | GCST90243176 | 3.86 |
| 502 | CHCHD10 levels | GCST90468738 | 3.86 |
| 503 | IGF1 levels | GCST90025989 | 3.86 |
| 504 | SLC9A3R2 levels | GCST90470666 | 3.86 |
| 505 | BPIFB1/GLRX ratio | GCST90313530 | 3.85 |
| 506 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 57) | GCST90320876 | 3.85 |
| 507 | Right-hemisphere dorsal attention network to pallidum white-matter structural connectivity | GCST90302809 | 3.85 |
| 508 | IDP dMRI TBSS L3 Posterior thalamic radiation L | GCST90004200 | 3.85 |
| 509 | Cataract (PheCode 366) | GCST90043785 | 3.85 |
| 510 | Migraine without aura | FING00000821 | 3.85 |
| 511 | CLMP/PIK3IP1 ratio | GCST90314134 | 3.85 |
| 512 | Weight (minimum, inv-normal transformed) | GCST90476466 | 3.84 |
| 513 | Acquired deformities of fingers and toes | Other joint disorders | UKBB00000006 | 3.84 |
| 514 | Retinal detachments and breaks | FING00001260 | 3.84 |
| 515 | IDP dMRI TBSS FA Tapetum L | GCST90003924 | 3.83 |
| 516 | Snoring | GCST009760 | 3.83 |
| 517 | Maximum carotid IMT (intima-medial thickness) at 240 degrees | Carotid ultrasound | UKBB00000429 | 3.83 |
| 518 | Angina pectoris | Ischaemic heart diseases | UKBB00000031 | 3.82 |
| 519 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 115) | GCST90320678 | 3.82 |
| 520 | IDP dMRI TBSS L2 Anterior corona radiata R | GCST90004145 | 3.81 |
| 521 | Angina pectoris | GCST90018573 | 3.81 |
| 522 | IDP dMRI ProbtrackX L3 ilf r | GCST90004315 | 3.80 |
| 523 | Phospholipids in chylomicrons and extremely large VLDL (UKB data field 23483) | GCST90269580 | 3.80 |
| 524 | MATN2 levels | GCST90469864 | 3.80 |
| 525 | AFM levels | GCST90468249 | 3.80 |
| 526 | Degeneration of macula and posterior pole of retina (PheCode 362.2) | GCST90475849 | 3.78 |
| 527 | IDP dMRI TBSS L2 Posterior thalamic radiation L | GCST90004152 | 3.78 |
| 528 | Cholesterol in chylomicrons and extremely large VLDL (UKB data field 23484) | GCST90269581 | 3.76 |
| 529 | IDP dMRI TBSS L2 Sagittal stratum L | GCST90004154 | 3.76 |
| 530 | Insomnia complaints | GCST006487 | 3.76 |
| 531 | aparc-Desikan lh volume lingual | GCST90002780 | 3.76 |
| 532 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T3 | ECGU000003 | 3.76 |
| 533 | Hereditary deficiency of other clotting factors | FING00000612 | 3.76 |
| 534 | IDP dMRI ProbtrackX FA atr l | GCST90003927 | 3.75 |
| 535 | IDP dMRI TBSS FA Anterior corona radiata L | GCST90003900 | 3.75 |
| 536 | Systolic blood pressure | GCST90301695 | 3.74 |
| 537 | IDP dMRI TBSS ICVF Retrolenticular part of internal capsule R | GCST90004347 | 3.74 |
| 538 | S100A12 levels | GCST90470513 | 3.74 |
| 539 | Right ventricular end diastolic volume | GCST90268116 | 3.74 |
| 540 | high density lipoprotein cholesterol (HDLC, maximum, inv-norm transformed) | GCST90475348 | 3.74 |
| 541 | N-acetylmethionine levels | GCST90200289 | 3.73 |
| 542 | AOC3/ITGB1 ratio | GCST90313295 | 3.73 |
| 543 | Functional digestive disorders | digestive | UKBB00000274 | 3.73 |
| 544 | ADAMTS8 levels | GCST90468227 | 3.73 |
| 545 | ITGA2 levels | GCST90469634 | 3.71 |
| 546 | Enteritis due to Yersinia enterocolitica | FING00000505 | 3.70 |
| 547 | aparc-a2009s lh volume S-calcarine | GCST90002968 | 3.69 |
| 548 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 41) | GCST90320604 | 3.69 |
| 549 | Total thigh muscle volume z-score | GCST90267356 | 3.69 |
| 550 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 45) | GCST90320608 | 3.69 |
| 551 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 57) | GCST90320620 | 3.68 |
| 552 | C21orf58 levels | GCST90618380 | 3.67 |
| 553 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 44) | GCST90320607 | 3.67 |
| 554 | IDP dMRI ProbtrackX ICVF ilf l | GCST90004389 | 3.67 |
| 555 | MSMB levels | GCST90469949 | 3.67 |
| 556 | IDP dMRI TBSS L2 Tapetum L | GCST90004170 | 3.67 |
| 557 | Myristoyl dihydrosphingomyelin (d18:0/14:0) levels | GCST90200049 | 3.66 |
| 558 | IDP dMRI TBSS ISOVF Superior corona radiata R | GCST90004501 | 3.66 |
| 559 | Glaucoma (primary open-angle) | GCST90011768 | 3.66 |
| 560 | rfMRI connectivity (ICA100 edge 399) | GCST90005252 | 3.66 |
| 561 | IDP dMRI TBSS MD Fornix | GCST90004032 | 3.66 |
| 562 | Endometriosis ASRM stages 3,4 | FING00000498 | 3.66 |
| 563 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 97) | GCST90320916 | 3.66 |
| 564 | Spondylolisthesis/Spondylolysis | FING00001324 | 3.65 |
| 565 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T10 | ECGU000010 | 3.65 |
| 566 | EFEMP1/FSTL3 ratio | GCST90314595 | 3.65 |
| 567 | Phospholipids to total lipids in large VLDL percentage (UKB data field 23589) | GCST90269686 | 3.65 |
| 568 | TGFBR3 levels | GCST90470848 | 3.64 |
| 569 | Angina | GCST90468109 | 3.64 |
| 570 | IDP dMRI TBSS L1 Cerebral peduncle R | GCST90004089 | 3.64 |
| 571 | SCARA5/TNC ratio | GCST90315810 | 3.64 |
| 572 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 47) | GCST90320866 | 3.63 |
| 573 | ENG levels | GCST90469108 | 3.63 |
| 574 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T366 | ECGU000366 | 3.63 |
| 575 | Benign lipomatous neoplasm of skin and subcutaneous tissue of trunk | FING00000150 | 3.63 |
| 576 | IDP dMRI ProbtrackX L3 fma | GCST90004310 | 3.63 |
| 577 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T369 | ECGU000369 | 3.62 |
| 578 | Obstructed labour due to maternal pelvic abnormality | FING00000899 | 3.62 |
| 579 | Frozen shoulder | GCST90000513 | 3.62 |
| 580 | DLL4 levels | GCST90469005 | 3.62 |
| 581 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 81) | GCST90320644 | 3.62 |
| 582 | IDP dMRI ProbtrackX MD ilf r | GCST90004234 | 3.62 |
| 583 | Osteoporosis, osteopenia and pathological fracture (PheCode 743) | GCST90476258 | 3.61 |
| 584 | FAP/THBS4 ratio | GCST90314785 | 3.61 |
| 585 | Concentration of very large VLDL particles (UKB data field 23488) | GCST90269585 | 3.61 |
| 586 | Falls/tendency to fall | FING00000530 | 3.61 |
| 587 | Pulse pressure (BMI unadjusted) | GCST90335166 | 3.60 |
| 588 | Takes medication for heart attack? | GCST90475212 | 3.59 |
| 589 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T12 | ECGU000012 | 3.59 |
| 590 | IDP dMRI TBSS FA Tapetum R | GCST90003923 | 3.59 |
| 591 | Diseases of external ear | FING00000424 | 3.59 |
| 592 | aparc-DKTatlas lh thickness cuneus | GCST90003543 | 3.59 |
| 593 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 121) | GCST90320940 | 3.58 |
| 594 | Forced expiratory volume in 1 second FEV1 Z score (UKB data field 20256) | GCST90468166 | 3.58 |
| 595 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T362 | ECGU000362 | 3.58 |
| 596 | Lung function (FEV1/FVC) | GCST90025978 | 3.58 |
| 597 | Insomnia complaints | GCST004695 | 3.57 |
| 598 | IDP dMRI ProbtrackX ICVF cgh r | GCST90004382 | 3.56 |
| 599 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T8 | ECGU000008 | 3.56 |
| 600 | Birth size (multivariate analysis) | GCST90624101 | 3.55 |
| 601 | FNDC1 levels | GCST90469256 | 3.55 |
| 602 | ADGRB3 levels | GCST90468234 | 3.54 |
| 603 | triglyceride (maximum, inv-norm transformed) | GCST90476431 | 3.54 |
| 604 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T417 | ECGA000417 | 3.54 |
| 605 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T13 | ECGU000013 | 3.54 |
| 606 | TNFRSF4/TNFRSF9 ratio | GCST90315939 | 3.53 |
| 607 | FEV1/FVC ratio | Other measurement | UKBB00000245 | 3.52 |
| 608 | Ventricular arrhythmia | GCST90018720 | 3.52 |
| 609 | rfMRI amplitudes (ICA100 node 27) | GCST90004615 | 3.52 |
| 610 | Intra-ocular pressure, corneal-compensated (right) | Intraocular pressure | UKBB00000375 | 3.51 |
| 611 | Coxarthrosis [arthrosis of hip] | Arthrosis | UKBB00000154 | 3.51 |
| 612 | rfMRI amplitudes (ICA100 node 35) | GCST90004623 | 3.51 |
| 613 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T418 | ECGA000418 | 3.51 |
| 614 | aparc-a2009s rh area S-calcarine | GCST90003414 | 3.50 |
| 615 | TNFRSF19 levels | GCST90470909 | 3.50 |
| 616 | Sphingomyelin (d17:1/16:0, d18:1/15:0, d16:1/17:0) levels | GCST90200017 | 3.49 |
| 617 | Concentration of chylomicrons and extremely large VLDL particles (UKB data field 23481) | GCST90269578 | 3.49 |
| 618 | Pelvic height | GCST90448912 | 3.48 |
| 619 | FVC | GCST90278629 | 3.48 |
| 620 | Takes medication for coronary artery/ coronary heart disease? | GCST90475199 | 3.48 |
| 621 | Spinal stenosis | musculoskeletal | UKBB00000792 | 3.47 |
| 622 | Nonalcoholic fatty liver disease in overweight individuals (25<=BMI<=30) | GCST90275047 | 3.47 |
| 623 | Glaucoma | GCST90018632 | 3.46 |
| 624 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 50) | GCST90320613 | 3.46 |
| 625 | BA-exvivo lh thickness BA2 | GCST90003514 | 3.46 |
| 626 | IDP dMRI ProbtrackX L2 fma | GCST90004283 | 3.46 |
| 627 | DLK1 levels | GCST90469003 | 3.46 |
| 628 | Medication use (antithrombotic agents) | GCST90018762 | 3.45 |
| 629 | Ischaemic heart disease, wide definition | FING00000703 | 3.45 |
| 630 | PRTG levels | GCST90470347 | 3.45 |
| 631 | Bioavailable testosterone levels | GCST90012104 | 3.45 |
| 632 | PKD1 levels | GCST90470240 | 3.45 |
| 633 | Operative procedures - Haemorrhoidectomy | Summary Operations | UKBB00000580 | 3.43 |
| 634 | IDP dMRI TBSS MD Superior fronto-occipital fasciculus L | GCST90004070 | 3.43 |
| 635 | rfMRI connectivity (ICA100 edge 380) | GCST90005233 | 3.43 |
| 636 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T416 | ECGA000416 | 3.43 |
| 637 | Glaucoma | sense organs | UKBB00000287 | 3.42 |
| 638 | aparc-a2009s lh area S-collat-transv-ant | GCST90003346 | 3.42 |
| 639 | Conductive hearing loss (PheCode 389.2) | GCST90475912 | 3.42 |
| 640 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T409 | ECGA000409 | 3.42 |
| 641 | FEV1 | GCST007432 | 3.42 |
| 642 | Total lipids in very large VLDL (UKB data field 23489) | GCST90269586 | 3.41 |
| 643 | Myocardial infarction, strict | FING00000852 | 3.41 |
| 644 | Angina pectoris | circulatory system | UKBB00000030 | 3.40 |
| 645 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T408 | ECGA000408 | 3.40 |
| 646 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T419 | ECGA000419 | 3.39 |
| 647 | Other specified and unspecified disorders of lens | FING00001101 | 3.39 |
| 648 | Phospholipids to total lipids ratio in large VLDL | GCST90092877 | 3.39 |
| 649 | Shoulder width to body height ratio | GCST90270261 | 3.39 |
| 650 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 118) | GCST90320937 | 3.39 |
| 651 | Intracerebral hemorrhage | GCST90018650 | 3.38 |
| 652 | MB levels | GCST90469869 | 3.38 |
| 653 | ALB levels | GCST90475103 | 3.38 |
| 654 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T370 | ECGU000370 | 3.38 |
| 655 | Spherical power (right) | Autorefraction | UKBB00000791 | 3.38 |
| 656 | IDP dMRI ProbtrackX MD cgh l | GCST90004225 | 3.37 |
| 657 | IDP dMRI TBSS ISOVF Fornix | GCST90004482 | 3.36 |
| 658 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T361 | ECGU000361 | 3.36 |
| 659 | IDP dMRI TBSS L2 Middle cerebellar peduncle | GCST90004123 | 3.36 |
| 660 | Free cholesterol in chylomicrons and extremely large VLDL (UKB data field 23486) | GCST90269583 | 3.36 |
| 661 | Phospholipids in very large VLDL (UKB data field 23490) | GCST90269587 | 3.35 |
| 662 | Free cholesterol in large VLDL (UKB data field 23500) | GCST90269597 | 3.35 |
| 663 | IDP dMRI ProbtrackX FA ifo r | GCST90003938 | 3.35 |
| 664 | X-24337 levels | GCST90200629 | 3.35 |
| 665 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T420 | ECGA000420 | 3.35 |
| 666 | IDP dMRI ProbtrackX FA atr r | GCST90003928 | 3.35 |
| 667 | Female genital prolapse | Noninflammatory disorders of female genital tract | UKBB00000244 | 3.35 |
| 668 | Glaucoma | GCST90468129 | 3.35 |
| 669 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T407 | ECGA000407 | 3.34 |
| 670 | Triglycerides in very large VLDL (UKB data field 23494) | GCST90269591 | 3.33 |
| 671 | aseg global volume WM-hypointensities | GCST90002604 | 3.33 |
| 672 | CREG1/NAAA ratio | GCST90314250 | 3.33 |
| 673 | Acetabular diameter | GCST90448906 | 3.33 |
| 674 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T357 | ECGU000357 | 3.32 |
| 675 | CD34 levels | GCST90468626 | 3.31 |
| 676 | Glaucoma | Glaucoma | UKBB00000286 | 3.31 |
| 677 | Delta body mass index (difference between ECG-predicted and measured) | GCST90429062 | 3.31 |
| 678 | Cholesteryl esters to total lipids in small LDL percentage (UKB data field 23626) | GCST90269723 | 3.31 |
| 679 | Lung function (FEV1/FVC) | GCST007431 | 3.31 |
| 680 | Cerebrospinal fluid 3-hydroxyhexanoate levels | GCST90318108 | 3.31 |
| 681 | Takes medication for Macular Degeneration? | GCST90475387 | 3.30 |
| 682 | Right ventricular end systolic volume | GCST90268118 | 3.29 |
| 683 | Polyunsaturated fatty acids to monounsaturated fatty acids ratio (UKB data field 23458) | GCST90269555 | 3.29 |
| 684 | LEP levels | GCST003368 | 3.28 |
| 685 | Descending aorta distensibility | GCST90267386 | 3.28 |
| 686 | Other intervertebral disc disorders | FING00001063 | 3.28 |
| 687 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T2 | ECGU000002 | 3.28 |
| 688 | Total cerebellar volume (excluding Crus I vermis) | GCST90020190 | 3.28 |
| 689 | MIA levels | GCST90469903 | 3.28 |
| 690 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 46) | GCST90320609 | 3.27 |
| 691 | ALB levels | GCST90475106 | 3.27 |
| 692 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 82) | GCST90320901 | 3.27 |
| 693 | Free cholesterol in very large VLDL (UKB data field 23493) | GCST90269590 | 3.26 |
| 694 | FCN1 levels | GCST90618565 | 3.26 |
| 695 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T410 | ECGA000410 | 3.26 |
| 696 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T368 | ECGU000368 | 3.26 |
| 697 | SIGLEC7 levels | GCST90470635 | 3.25 |
| 698 | Excessive, frequent and irregular menstruation | FING00000524 | 3.24 |
| 699 | IDP dMRI TBSS ISOVF Corticospinal tract R | GCST90004483 | 3.24 |
| 700 | Spherical power (left) | Autorefraction | UKBB00000790 | 3.24 |
| 701 | Phospholipids to total lipids in small LDL percentage (UKB data field 23624) | GCST90269721 | 3.24 |
| 702 | PCDH7 levels | GCST90470171 | 3.23 |
| 703 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 123) | GCST90320686 | 3.23 |
| 704 | TGFBR2/TNFRSF19 ratio | GCST90315917 | 3.22 |
| 705 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 103) | GCST90320922 | 3.22 |
| 706 | FUT8/TNFSF14 ratio | GCST90314895 | 3.22 |
| 707 | IDP dMRI ProbtrackX L2 ifo r | GCST90004286 | 3.22 |
| 708 | ADGRE5/GAS6 ratio | GCST90313179 | 3.21 |
| 709 | MOG/RTBDN ratio | GCST90315476 | 3.21 |
| 710 | Heart attack | GCST90475211 | 3.21 |
| 711 | Liver volume (adjusted for height) | GCST90566819 | 3.20 |
| 712 | Phospholipids in large VLDL (UKB data field 23497) | GCST90269594 | 3.20 |
| 713 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T14 | ECGU000014 | 3.20 |
| 714 | Hair/balding pattern: Pattern 4 (UKB data field 2395_4) | GCST90043619 | 3.20 |
| 715 | IGFBP3 levels | GCST90469529 | 3.20 |
| 716 | BA-exvivo rh area V2 | GCST90003231 | 3.19 |
| 717 | GFRA1 levels | GCST90469328 | 3.19 |
| 718 | MPO levels | GCST90469937 | 3.19 |
| 719 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 6) | GCST90320569 | 3.19 |
| 720 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T364 | ECGU000364 | 3.19 |
| 721 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 2) | GCST90320565 | 3.19 |
| 722 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T372 | ECGU000372 | 3.18 |
| 723 | GABARAPL1 levels | GCST90469287 | 3.18 |
| 724 | Unstable angina pectoris | FING00001405 | 3.17 |
| 725 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T365 | ECGU000365 | 3.17 |
| 726 | NPY levels | GCST90470081 | 3.17 |
| 727 | aparc-a2009s rh volume G-cuneus | GCST90003009 | 3.16 |
| 728 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T374 | ECGU000374 | 3.16 |
| 729 | CCDC80/CCL27 ratio | GCST90313669 | 3.16 |
| 730 | CTSZ/NAAA ratio | GCST90314320 | 3.15 |
| 731 | IDP T2 FLAIR BIANCA WMH volume | GCST90003862 | 3.14 |
| 732 | Coronary artery / coronary heart disease (including heart attack, angina) | GCST90475198 | 3.14 |
| 733 | IDP dMRI ProbtrackX L3 unc l | GCST90004325 | 3.13 |
| 734 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T6 | ECGU000006 | 3.13 |
| 735 | QC rfMRI-to-T1 linear alignment discrepancy | GCST90006353 | 3.13 |
| 736 | aparc-Desikan rh area lingual | GCST90003119 | 3.13 |
| 737 | IDP dMRI TBSS MD Sagittal stratum L | GCST90004058 | 3.13 |
| 738 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T375 | ECGU000375 | 3.12 |
| 739 | Hypermetropia (PheCode 367.8) | GCST90475882 | 3.12 |
| 740 | Autorefraction - 3mm cylindrical power (left) | Eyesight | UKBB00000062 | 3.12 |
| 741 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T7 | ECGU000007 | 3.12 |
| 742 | Osteoarthritis; localized | musculoskeletal | UKBB00000595 | 3.12 |
| 743 | Uterine leiomyomata | GCST90239856 | 3.11 |
| 744 | ICD10 N80: Endometriosis | GCST90454213 | 3.11 |
| 745 | IDP dMRI TBSS L3 Superior fronto-occipital fasciculus R | GCST90004213 | 3.11 |
| 746 | Senile cataract | FING00001290 | 3.11 |
| 747 | Hypertrophy of breast | FING00000644 | 3.11 |
| 748 | IDP T1 FAST ROIs R intracalc cortex | GCST90002498 | 3.10 |
| 749 | Retinal vascular disorders | FING00001262 | 3.10 |
| 750 | Other chronic ischemic heart disease, unspecified (PheCode 411.8) | GCST90475938 | 3.10 |
| 751 | Osteomyelitis, periostitis, and other infections involving bone (PheCode 710) | GCST90476220 | 3.10 |
| 752 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T404 | ECGA000404 | 3.09 |
| 753 | SIL1 levels | GCST90470638 | 3.09 |
| 754 | aseg global intensity WM-hypointensities | GCST90003756 | 3.09 |
| 755 | IDP dMRI TBSS ICVF Sagittal stratum L | GCST90004358 | 3.09 |
| 756 | Nontoxic multinodular goiter | endocrine/metabolic | UKBB00000528 | 3.08 |
| 757 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T421 | ECGA000421 | 3.08 |
| 758 | Triglycerides to phosphoglycerides ratio (UKB data field 23435) | GCST90269532 | 3.08 |
| 759 | IDP dMRI ProbtrackX L3 unc r | GCST90004326 | 3.07 |
| 760 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T371 | ECGU000371 | 3.07 |
| 761 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 87) | GCST90320906 | 3.07 |
| 762 | IDP dMRI TBSS L3 Superior fronto-occipital fasciculus L | GCST90004214 | 3.06 |
| 763 | Phospholipids in large VLDL | GCST90498247 | 3.06 |
| 764 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T15 | ECGU000015 | 3.06 |
| 765 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T411 | ECGA000411 | 3.06 |
| 766 | Takes medication for acid reflux/GERD? | GCST90475321 | 3.05 |
| 767 | CCL8 levels | GCST90422346 | 3.05 |
| 768 | PSME2/RBKS ratio | GCST90315737 | 3.05 |
| 769 | IDP dMRI TBSS L3 External capsule R | GCST90004203 | 3.05 |
| 770 | WIF1 levels | GCST90471078 | 3.05 |
| 771 | Left ventricular end systole anterolateral wall thickness | GCST90278511 | 3.05 |
| 772 | EFEMP1/IL18BP ratio | GCST90314596 | 3.05 |
| 773 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 32) | GCST90320595 | 3.05 |
| 774 | FCRL2/TNFRSF13B ratio | GCST90314801 | 3.05 |
| 775 | Illnesses of mother - None of the above (group 1) | Family history | UKBB00000349 | 3.05 |
| 776 | DTI autoptx FA fmi tract | GCST90385123 | 3.04 |
| 777 | Other disorders of circulatory system | circulatory system | UKBB00000607 | 3.04 |
| 778 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T415 | ECGA000415 | 3.04 |
| 779 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 80) | GCST90320643 | 3.03 |
| 780 | wg lh intensity-contrast superiortemporal | GCST90003821 | 3.03 |
| 781 | IDP dMRI TBSS L2 Superior fronto-occipital fasciculus L | GCST90004166 | 3.03 |
| 782 | Concentration of large VLDL particles (UKB data field 23495) | GCST90269592 | 3.03 |
| 783 | Gonarthrosis, primary, with knee surgery | FING00000586 | 3.03 |
| 784 | Systolic blood pressure | GCST90025968 | 3.02 |
| 785 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 6) | GCST90320825 | 3.02 |
| 786 | IDP dMRI TBSS L3 Posterior corona radiata R | GCST90004197 | 3.02 |
| 787 | Osteoarthritis | GCST90476383 | 3.02 |
| 788 | IDP dMRI ProbtrackX L2 unc l | GCST90004298 | 3.02 |
| 789 | IDP dMRI ProbtrackX MD ifo r | GCST90004232 | 3.01 |
| 790 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T405 | ECGA000405 | 3.01 |
| 791 | Glaucoma, exfoliation | FING00000580 | 3.01 |
| 792 | IDP dMRI TBSS ISOVF Superior longitudinal fasciculus L | GCST90004518 | 3.01 |
| 793 | Coronary artery disease (confirmatory factor analysis Factor 16) | GCST90309350 | 3.00 |
| 794 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 125) | GCST90320688 | 3.00 |
| 795 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T358 | ECGU000358 | 3.00 |
| 796 | Pain type(s) experienced in last month - Headache | Pain | UKBB00000627 | 3.00 |
| 797 | Osteoarthritis | GCST90134279 | 3.00 |
| 798 | Cholesterol in very large VLDL (UKB data field 23491) | GCST90269588 | 3.00 |
| 799 | COMP/MYOC ratio | GCST90314191 | 3.00 |
| 800 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T406 | ECGA000406 | 2.99 |
| 801 | Pulse wave reflection index | Arterial stiffness | UKBB00000726 | 2.99 |
| 802 | Umbilical hernia | FING00001395 | 2.99 |
| 803 | QC T1-to-standard linear alignment discrepancy | GCST90006345 | 2.98 |
| 804 | CASP1 levels | GCST90468543 | 2.98 |
| 805 | Blepharochalasis | FING00000220 | 2.98 |
| 806 | BMP4 levels | GCST90468453 | 2.98 |
| 807 | IDP dMRI TBSS OD Fornix | GCST90004407 | 2.98 |
| 808 | ICAM5 levels | GCST90469502 | 2.98 |
| 809 | IDP dMRI TBSS MO Medial lemniscus L | GCST90003961 | 2.98 |
| 810 | PAMR1 levels | GCST90470155 | 2.97 |
| 811 | aparc-DKTatlas lh volume lingual | GCST90002873 | 2.97 |
| 812 | aparc-DKTatlas lh volume lateraloccipital | GCST90002871 | 2.97 |
| 813 | CST3/TFF3 ratio | GCST90314299 | 2.97 |
| 814 | Left-hemisphere default mode network to right-hemisphere visual network white-matter structural connectivity | GCST90302760 | 2.97 |
| 815 | aparc-a2009s rh volume S-orbital-H-Shaped | GCST90003062 | 2.96 |
| 816 | ITGAV levels | GCST90469639 | 2.96 |
| 817 | Paradoxical eczema in biologic-treated plaque psoriasis | GCST90162550 | 2.96 |
| 818 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T11 | ECGU000011 | 2.96 |
| 819 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 54) | GCST90320873 | 2.96 |
| 820 | Myocardial infarction | GCST90018657 | 2.95 |
| 821 | IDP dMRI TBSS MD Superior longitudinal fasciculus L | GCST90004068 | 2.95 |
| 822 | Operative procedures - Carpal tunnel release | Summary Operations | UKBB00000574 | 2.95 |
| 823 | DLK1/PIK3IP1 ratio | GCST90314492 | 2.95 |
| 824 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 37) | GCST90320856 | 2.95 |
| 825 | IDP dMRI TBSS ICVF Sagittal stratum R | GCST90004357 | 2.95 |
| 826 | Operation code - bunion/hallus valgus surgery | Operations | UKBB00000551 | 2.95 |
| 827 | PDGFC/TFPI ratio | GCST90315636 | 2.95 |
| 828 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T403 | ECGA000403 | 2.94 |
| 829 | ALB levels | GCST90475100 | 2.94 |
| 830 | ASGR1 levels | GCST90468375 | 2.93 |
| 831 | Malignant neoplasm of breast, excluding all cancers (controls excluding all cancers) | FING00000755 | 2.93 |
| 832 | Nonrheumatic aortic valve disorders (PheCode 395.2) | GCST90475914 | 2.93 |
| 833 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T414 | ECGA000414 | 2.93 |
| 834 | Optic cup area | GCST004137 | 2.93 |
| 835 | AKR7L levels | GCST90468275 | 2.92 |
| 836 | CTSD/PRCP ratio | GCST90314312 | 2.92 |
| 837 | COL6A3/NBL1 ratio | GCST90314176 | 2.92 |
| 838 | Mononeuropathies of upper limb | Nerve, nerve root and plexus disorders | UKBB00000481 | 2.92 |
| 839 | COL6A3 levels | GCST90468821 | 2.92 |
| 840 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T30 | ECGU000030 | 2.92 |
| 841 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T23 | ECGU000023 | 2.91 |
| 842 | CCL11/CCL2 ratio | GCST90313672 | 2.91 |
| 843 | wg lh intensity-contrast middletemporal | GCST90003806 | 2.91 |
| 844 | BIN2/PDLIM7 ratio | GCST90313509 | 2.91 |
| 845 | IDP dMRI TBSS L2 Fornix | GCST90004128 | 2.90 |
| 846 | aseg global volume 4th-Ventricle | GCST90002600 | 2.90 |
| 847 | SSC5D levels | GCST90470748 | 2.90 |
| 848 | Right-hemisphere limbic network to caudate white-matter structural connectivity | GCST90302828 | 2.90 |
| 849 | IDP dMRI TBSS L3 Retrolenticular part of internal capsule R | GCST90004191 | 2.90 |
| 850 | Cholesterol in Medium HDL | GCST90498495 | 2.90 |
| 851 | NEO1 levels | GCST90470029 | 2.89 |
| 852 | SMOC1 levels | GCST90470682 | 2.89 |
| 853 | HAMP levels | GCST90451683 | 2.89 |
| 854 | Systolic blood pressure, combined automated + manual reading | Cardiovascular measurement | UKBB00000807 | 2.89 |
| 855 | CLU levels | GCST90468793 | 2.89 |
| 856 | Macular degeneration, dry (PheCode 362.21) | GCST90475851 | 2.89 |
| 857 | aparc-Desikan rh volume parahippocampal | GCST90002816 | 2.88 |
| 858 | IDP dMRI ProbtrackX L3 ar r | GCST90004301 | 2.88 |
| 859 | GFRAL levels | GCST90469331 | 2.88 |
| 860 | ITGA11 levels | GCST90469633 | 2.87 |
| 861 | DTI autoptx MD unc l tract | GCST90385245 | 2.87 |
| 862 | Total lipids in chylomicrons and extremely large VLDL (UKB data field 23482) | GCST90269579 | 2.87 |
| 863 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T29 | ECGU000029 | 2.87 |
| 864 | aparc-DKTatlas rh volume parahippocampal | GCST90002907 | 2.87 |
| 865 | IDP dMRI ProbtrackX ICVF unc l | GCST90004400 | 2.87 |
| 866 | Thoracic or lumbosacral neuritis or radiculitis, unspecified (PheCode 763) | GCST90476268 | 2.86 |
| 867 | Prolapse of vaginal walls | genitourinary | UKBB00000712 | 2.86 |
| 868 | APOF levels | GCST90468339 | 2.86 |
| 869 | aparc-a2009s rh volume S-central | GCST90003043 | 2.86 |
| 870 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 86) | GCST90320649 | 2.86 |
| 871 | IDP T1 FAST ROIs R putamen | GCST90002552 | 2.86 |
| 872 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T356 | ECGU000356 | 2.86 |
| 873 | ADGRD1 levels | GCST90468235 | 2.85 |
| 874 | aparc-a2009s rh area Pole-occipital | GCST90003412 | 2.85 |
| 875 | Bone marrow fat fraction of thoracic vertebra 8 | GCST90652380 | 2.85 |
| 876 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T373 | ECGU000373 | 2.85 |
| 877 | Cholesteryl esters in very large VLDL (UKB data field 23492) | GCST90269589 | 2.85 |
| 878 | Hernia of abdominal wall | FING00000617 | 2.85 |
| 879 | Undecenoylcarnitine (C11:1) levels | GCST90200236 | 2.85 |
| 880 | high density lipoprotein cholesterol (HDLC, mean, inv-norm transformed) | GCST90475352 | 2.85 |
| 881 | IDP dMRI TBSS L3 Superior corona radiata L | GCST90004196 | 2.85 |
| 882 | FGR levels | GCST90469236 | 2.84 |
| 883 | Coronary atherosclerosis (PheCode 411.4) | GCST90475936 | 2.84 |
| 884 | aparc-a2009s rh area G-oc-temp-med-Lingual | GCST90003392 | 2.84 |
| 885 | Fracture of rib(s), sternum and thoracic spine | FING00000558 | 2.84 |
| 886 | IDP dMRI TBSS MO Fornix | GCST90003957 | 2.83 |
| 887 | Polyunsaturated fatty acid levels | GCST90499271 | 2.83 |
| 888 | Tyrosine levels | GCST90500156 | 2.83 |
| 889 | Cholesterol in large VLDL (UKB data field 23498) | GCST90269595 | 2.83 |
| 890 | Triglycerides to total lipids in very large HDL percentage (UKB data field 23633) | GCST90269730 | 2.83 |
| 891 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 126) | GCST90320689 | 2.83 |
| 892 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T1 | ECGU000001 | 2.83 |
| 893 | IDP dMRI TBSS MD Posterior thalamic radiation L | GCST90004056 | 2.82 |
| 894 | Cholesterol to total lipids in medium HDL percentage (UKB data field 23640) | GCST90269737 | 2.82 |
| 895 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T412 | ECGA000412 | 2.82 |
| 896 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 23) | GCST90320842 | 2.82 |
| 897 | Androstenediol (3beta,17beta) monosulfate (1) levels | GCST90199872 | 2.82 |
| 898 | Triglycerides in VLDL (UKB data field 23408) | GCST90269505 | 2.82 |
| 899 | IDP dMRI TBSS L2 Superior corona radiata R | GCST90004147 | 2.82 |
| 900 | End-diastolic bi-ventricular shape (principal component 1) | GCST90448480 | 2.81 |
| 901 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T360 | ECGU000360 | 2.81 |
| 902 | Diaphragmatic hernia (PheCode 550.2) | GCST90476061 | 2.80 |
| 903 | POSTN levels | GCST90470288 | 2.80 |
| 904 | FN1 levels | GCST90469255 | 2.80 |
| 905 | NH4_C22:4 Cholesteryl ester levels in chronic kidney disease | GCST90257227 | 2.80 |
| 906 | IDP dMRI ProbtrackX ICVF ilf r | GCST90004390 | 2.80 |
| 907 | Normotensive glaucoma | FING00000892 | 2.80 |
| 908 | COL6A3/SMOC2 ratio | GCST90314178 | 2.80 |
| 909 | CD40LG/TNFSF14 ratio | GCST90313827 | 2.80 |
| 910 | Pelvic organ prolapse | GCST90102470 | 2.79 |
| 911 | Unspecified/other endometriosis | FING00001404 | 2.79 |
| 912 | IDP dMRI TBSS MD External capsule L | GCST90004060 | 2.79 |
| 913 | Intestinal infectious diseases | FING00000689 | 2.79 |
| 914 | Osteomyelitis (PheCode 710.1) | GCST90476221 | 2.79 |
| 915 | Total lipids in large VLDL (UKB data field 23496) | GCST90269593 | 2.78 |
| 916 | Triglycerides in medium HDL | GCST90498667 | 2.78 |
| 917 | Coxarthrosis, primary | FING00000363 | 2.78 |
| 918 | IDP dMRI ProbtrackX MD unc r | GCST90004245 | 2.78 |
| 919 | C-reactive protein levels (CRP.4337.49.2) | GCST90240503 | 2.78 |
| 920 | Osteoarthritis, localized (PheCode 740.1) | GCST90476254 | 2.78 |
| 921 | Levulinate 4-oxovalerate levels | GCST90243545 | 2.78 |
| 922 | Systolic blood pressure | GCST90301696 | 2.77 |
| 923 | COMP/ITGAV ratio | GCST90314190 | 2.77 |
| 924 | BA-exvivo lh thickness BA4a | GCST90003517 | 2.77 |
| 925 | 1-stearoyl-2-docosahexaenoyl-GPE (18:0/22:6) levels | GCST90200065 | 2.77 |
| 926 | CERT/MAX ratio | GCST90314028 | 2.76 |
| 927 | Vertical cup-disc ratio | GCST004075 | 2.76 |
| 928 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 110) | GCST90320929 | 2.76 |
| 929 | SF3B4 levels | GCST90470609 | 2.75 |
| 930 | Benign neoplasm: Colon, unspecified | FING00000172 | 2.75 |
| 931 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T413 | ECGA000413 | 2.75 |
| 932 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T423 | ECGA000423 | 2.75 |
| 933 | IDP dMRI TBSS FA Fornix | GCST90003882 | 2.74 |
| 934 | Benign neoplasm of colon (PheCode 208) | GCST90475617 | 2.74 |
| 935 | Macular degeneration (senile) of retina NOS (PheCode 362.29) | GCST90475857 | 2.74 |
| 936 | IGFBPL1 levels | GCST90469533 | 2.74 |
| 937 | IDP dMRI TBSS ICVF Inferior cerebellar peduncle L | GCST90004338 | 2.74 |
| 938 | SNX9/STIP1 ratio | GCST90315864 | 2.74 |
| 939 | Job involves shift work | Employment | UKBB00000385 | 2.73 |
| 940 | Other arthropathies | musculoskeletal | UKBB00000601 | 2.73 |
| 941 | DLK1/RGMB ratio | GCST90314493 | 2.73 |
| 942 | Triglycerides to total lipids in small HDL percentage (UKB data field 23648) | GCST90269745 | 2.73 |
| 943 | Asphyxia and hypoxemia (PheCode 1013) | GCST90475559 | 2.73 |
| 944 | Corneal edema (PheCode 364.2) | GCST90475862 | 2.73 |
| 945 | CD38/RELT ratio | GCST90313809 | 2.73 |
| 946 | Right-hemisphere somatomotor network to hippocampus white-matter structural connectivity | GCST90302798 | 2.73 |
| 947 | Cholesteryl esters to total lipids in very large VLDL percentage (UKB data field 23586) | GCST90269683 | 2.73 |
| 948 | Polycystic ovarian syndrome, consortium definition | FING00001184 | 2.72 |
| 949 | Noninflammatory disorders of female genital tract | FING00000882 | 2.72 |
| 950 | NCAM2 levels | GCST90470004 | 2.72 |
| 951 | CHRDL2 levels | GCST90468751 | 2.72 |
| 952 | Cholesterol in Large HDL | GCST90497709 | 2.71 |
| 953 | Coxarthrosis | FING00000362 | 2.71 |
| 954 | CD302 levels | GCST90468624 | 2.71 |
| 955 | Sulcal opening distance of the right calloso-marginal posterior fissure | GCST90104946 | 2.71 |
| 956 | Volume of left central nucleus | GCST90474958 | 2.71 |
| 957 | Triglycerides to total lipids in medium HDL percentage (UKB data field 23643) | GCST90269740 | 2.71 |
| 958 | PLXDC1 levels | GCST90470263 | 2.70 |
| 959 | IDP dMRI TBSS FA External capsule R | GCST90003909 | 2.70 |
| 960 | Atherosclerosis of native arteries of the extremities with intermittent claudication (PheCode 440.22) | GCST90475991 | 2.70 |
| 961 | Osteoarthritis (hip) | GCST007091 | 2.70 |
| 962 | CCL13/CCL2 ratio | GCST90313675 | 2.70 |
| 963 | Left-hemisphere control network to thalamus white-matter structural connectivity | GCST90302752 | 2.69 |
| 964 | INHBB levels | GCST90469614 | 2.69 |
| 965 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 71) | GCST90320634 | 2.69 |
| 966 | Depression/anxiety (weighted GWA) | GCST90267277 | 2.69 |
| 967 | Triglycerides in small HDL | GCST90499519 | 2.68 |
| 968 | Systolic blood pressure, combined automated + manual reading | Cardiovascular measurement | UKBB00000806 | 2.68 |
| 969 | MMP10 levels | GCST90012050 | 2.68 |
| 970 | Average diameter for VLDL particles (UKB data field 23431) | GCST90269528 | 2.68 |
| 971 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 106) | GCST90320925 | 2.68 |
| 972 | Main speciality of consultant (recoded) - General surgery | Summary Administration | UKBB00000417 | 2.68 |
| 973 | IDP dMRI ProbtrackX MD fmi | GCST90004230 | 2.68 |
| 974 | PECAM1/SOD2 ratio | GCST90315647 | 2.67 |
| 975 | Nephritis and nephropathy in diseases classified elsewhere (PheCode 580.31) | GCST90476116 | 2.67 |
| 976 | Migraine without aura and triptan purchases | FING00000822 | 2.67 |
| 977 | IDP dMRI TBSS L2 External capsule R | GCST90004155 | 2.67 |
| 978 | aparc-Desikan lh volume lateraloccipital | GCST90002778 | 2.67 |
| 979 | Body fat percentage (adjusted for testosterone and SHBG) | GCST90432179 | 2.67 |
| 980 | aparc-DKTatlas lh volume pericalcarine | GCST90002881 | 2.66 |
| 981 | IDP dMRI ProbtrackX L3 atr r | GCST90004303 | 2.66 |
| 982 | CA2/TGM2 ratio | GCST90313582 | 2.66 |
| 983 | EGFR levels | GCST90469085 | 2.66 |
| 984 | IDP dMRI ProbtrackX L2 atr l | GCST90004275 | 2.65 |
| 985 | Systolic blood pressure | GCST90301697 | 2.65 |
| 986 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T422 | ECGA000422 | 2.65 |
| 987 | IDP dMRI ProbtrackX ICVF ar r | GCST90004376 | 2.65 |
| 988 | Endometriosis of ovary | FING00000501 | 2.65 |
| 989 | B3GNT7 levels | GCST90468411 | 2.65 |
| 990 | Systolic blood pressure, automated reading | Blood pressure | UKBB00000803 | 2.65 |
| 991 | Solitary pulmonary nodule (PheCode 514.2) | GCST90476044 | 2.64 |
| 992 | IDP dMRI ProbtrackX MD unc l | GCST90004244 | 2.64 |
| 993 | IDP dMRI TBSS FA Middle cerebellar peduncle | GCST90003877 | 2.64 |
| 994 | PRL levels | GCST90470332 | 2.64 |
| 995 | Hip fracture | GCST90161240 | 2.64 |
| 996 | ADM/CLMP ratio | GCST90313197 | 2.64 |
| 997 | Early lumbar disc prolapse, operated | FING00000484 | 2.63 |
| 998 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 97) | GCST90320660 | 2.63 |
| 999 | Hard cardiovascular diseases | FING00000602 | 2.63 |
| 1000 | Arthropathy NOS | musculoskeletal | UKBB00000051 | 2.62 |