| 1 | Hallux valgus (acquired) | FING00000601 | 110.43 |
| 2 | Inguinal hernia | FING00000681 | 77.18 |
| 3 | Abdominal hernia | digestive | UKBB00000002 | 67.61 |
| 4 | Heel Broadband ultrasound attenuation, direct entry | Bone-densitometry of heel | UKBB00000321 | 62.83 |
| 5 | Inguinal hernia | digestive | UKBB00000362 | 62.38 |
| 6 | Operative procedures - Primary repair of inguinal hernia using insert of prosthetic material | Summary Operations | UKBB00000587 | 62.30 |
| 7 | Hernia | FING00000616 | 61.87 |
| 8 | Inguinal hernia | Hernia | UKBB00000363 | 59.95 |
| 9 | Hip width to body height ratio | GCST90270260 | 55.01 |
| 10 | Heel bone mineral density (BMD) | Bone-densitometry of heel | UKBB00000315 | 53.16 |
| 11 | Heel quantitative ultrasound index (QUI), direct entry (right) | Bone-densitometry of heel | UKBB00000323 | 52.88 |
| 12 | Heel bone mineral density (BMD) T-score, automated (right) | Bone-densitometry of heel | UKBB00000317 | 52.87 |
| 13 | Heel bone mineral density (BMD) T-score, automated | Bone-densitometry of heel | UKBB00000318 | 52.85 |
| 14 | Heel quantitative ultrasound index (QUI), direct entry | Bone-densitometry of heel | UKBB00000324 | 52.85 |
| 15 | Heel bone mineral density (BMD) (right) | Bone-densitometry of heel | UKBB00000314 | 52.45 |
| 16 | Waist circumference adjusted for body mass index | GCST90020029 | 52.37 |
| 17 | Oblique pelvic inlet length | GCST90448909 | 52.26 |
| 18 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 42) | GCST90320605 | 50.89 |
| 19 | Intra-ocular pressure, Goldmann-correlated (left) | Intraocular pressure | UKBB00000376 | 50.16 |
| 20 | Heel bone mineral density (BMD) (left) | Bone-densitometry of heel | UKBB00000313 | 49.95 |
| 21 | Carpal tunnel syndrome | FING00000257 | 49.46 |
| 22 | Heel quantitative ultrasound index (QUI), direct entry (left) | Bone-densitometry of heel | UKBB00000322 | 48.99 |
| 23 | Heel bone mineral density (BMD) T-score, automated (left) | Bone-densitometry of heel | UKBB00000316 | 48.99 |
| 24 | Waist circumference adjusted for body mass index | GCST90302892 | 47.82 |
| 25 | Intraocular pressure (confirmatory factor analysis Factor 26) | GCST90309360 | 47.75 |
| 26 | A body shape index | GCST90020024 | 47.53 |
| 27 | Hip index | GCST012229 | 47.20 |
| 28 | Intra-ocular pressure, Goldmann-correlated (right) | Intraocular pressure | UKBB00000377 | 45.90 |
| 29 | Abdominal hernia (PheCode 550) | GCST90476059 | 45.19 |
| 30 | VNN2 levels | GCST90618510 | 44.90 |
| 31 | Ankle spacing width | Bone-densitometry of heel | UKBB00000035 | 43.58 |
| 32 | Bone density (confirmatory factor analysis Factor 19) | GCST90309353 | 43.49 |
| 33 | Ventral hernia (PheCode 550.5) | GCST90476063 | 43.37 |
| 34 | Central corneal thickness | GCST006366 | 42.63 |
| 35 | CBLN4 levels | GCST90468554 | 42.45 |
| 36 | Eye conditions (confirmatory factor analysis Factor 25) | GCST90309359 | 42.18 |
| 37 | Height | GCST90018739 | 41.91 |
| 38 | Heel bone mineral density | GCST006288 | 41.80 |
| 39 | Forced expiratory volume in 1-second (FEV1), predicted | Spirometry | UKBB00000252 | 41.76 |
| 40 | HSPG2/IGFBP6 ratio | GCST90315091 | 41.39 |
| 41 | Autorefraction - 6mm strong meridian (left) | Eyesight | UKBB00000075 | 41.27 |
| 42 | TNXB levels | GCST90470930 | 41.22 |
| 43 | Autorefraction - 6mm weak meridian (left) | Eyesight | UKBB00000079 | 40.07 |
| 44 | Prescriptions - latanoprost | prostaglandin analog | UKBB00000686 | 39.92 |
| 45 | ROBO2 levels | GCST90470490 | 39.79 |
| 46 | Prescriptions - prostaglandin analog | UKBB00000697 | 39.71 |
| 47 | Iliac isthmus breadth | GCST90448907 | 39.64 |
| 48 | Heel broadband ultrasound attenuation (left) | Bone-densitometry of heel | UKBB00000319 | 39.62 |
| 49 | Autorefraction - 6mm asymmetry index (right) | Eyesight | UKBB00000074 | 39.22 |
| 50 | Waist-hip index | GCST90020027 | 39.21 |
| 51 | Corneal resistance factor | GCST90100568 | 39.17 |
| 52 | Impedance of arm right (UKB data field 23109) | GCST90468172 | 39.16 |
| 53 | Waist-to-hip ratio adjusted for BMI | GCST90020025 | 38.43 |
| 54 | Height | GCST90278637 | 38.12 |
| 55 | Dupuytren's disease | GCST90301252 | 37.92 |
| 56 | Impedance of arm (right) | Impedance measures | UKBB00000357 | 37.79 |
| 57 | Waist-hip index | GCST012228 | 37.41 |
| 58 | Sitting height | Body size measures | UKBB00000771 | 37.33 |
| 59 | Fracture of forearm | GCST90281273 | 37.32 |
| 60 | Autorefraction - 3mm weak meridian (right) | Eyesight | UKBB00000070 | 37.18 |
| 61 | Autorefraction - 3mm weak meridian (left) | Eyesight | UKBB00000069 | 36.85 |
| 62 | Operation code - inguinal/femoral hernia repair | Operations | UKBB00000561 | 36.76 |
| 63 | Waist-to-hip ratio adjusted for BMI | GCST012230 | 36.71 |
| 64 | height (minimum, inv-normal transformed) | GCST90475365 | 36.68 |
| 65 | height (mean, inv-normal transformed) | GCST90475362 | 36.67 |
| 66 | Impedance of arm left (UKB data field 23110) | GCST90468171 | 36.47 |
| 67 | Height (maximum, inv-normal transformed) | GCST90475359 | 36.16 |
| 68 | Appendicular lean mass | GCST90000027 | 36.02 |
| 69 | Waist-to-Hip ratio | Body measurement | UKBB00000905 | 35.59 |
| 70 | Impedance of arm (left) | Impedance measures | UKBB00000356 | 35.42 |
| 71 | Lung function (FVC) | GCST007429 | 35.34 |
| 72 | Heel broadband ultrasound attenuation (right) | Bone-densitometry of heel | UKBB00000320 | 35.24 |
| 73 | What is your height? (cm, inv-normal transformed) | GCST90475368 | 35.12 |
| 74 | Forced vital capacity (FVC) | Spirometry | UKBB00000254 | 35.04 |
| 75 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 90) | GCST90320909 | 34.96 |
| 76 | Diaphragmatic hernia (PheCode 550.2) | GCST90476061 | 34.44 |
| 77 | Pulse pressure | GCST90301703 | 34.08 |
| 78 | Autorefraction - 6mm weak meridian (right) | Eyesight | UKBB00000080 | 34.03 |
| 79 | Osteoporosis, osteopenia and pathological fracture (PheCode 743) | GCST90476258 | 34.01 |
| 80 | Autorefraction - 3mm strong meridian (right) | Eyesight | UKBB00000066 | 33.98 |
| 81 | Seated height | Body size measures | UKBB00000763 | 33.65 |
| 82 | Pulse pressure | GCST90301701 | 33.50 |
| 83 | Appendicular lean mass | GCST90000025 | 33.31 |
| 84 | Hallux valgus (Bunion) (PheCode 735.3) | GCST90476251 | 33.06 |
| 85 | Autorefraction - 6mm strong meridian (right) | Eyesight | UKBB00000076 | 32.84 |
| 86 | Height | GCST90302890 | 32.81 |
| 87 | Standing height | Body size measures | UKBB00000796 | 32.77 |
| 88 | Femur length to body height ratio | GCST90270256 | 32.75 |
| 89 | Corneal resistance factor (left) | Intraocular pressure | UKBB00000150 | 32.74 |
| 90 | Kyphosis (MTAG) | GCST90570047 | 32.62 |
| 91 | Corneal resistance factor (right) | Intraocular pressure | UKBB00000151 | 32.43 |
| 92 | Height, inverse-rank normalized | FING00000607 | 32.43 |
| 93 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 68) | GCST90320887 | 32.38 |
| 94 | Autorefraction - 3mm strong meridian (left) | Eyesight | UKBB00000065 | 32.22 |
| 95 | Impedance of whole body (UKB data field 23106) | GCST90468173 | 32.04 |
| 96 | Autorefraction - 6mm strong meridian angle (right) | Eyesight | UKBB00000078 | 31.91 |
| 97 | Gout (PheCode 274.1) | GCST90043662 | 31.60 |
| 98 | Diaphragmatic hernia | FING00000419 | 31.57 |
| 99 | Appendicular lean mass | GCST90000026 | 31.56 |
| 100 | Pulse pressure | GCST90472785 | 31.24 |
| 101 | Standing height (UKB data field 50) | GCST90468178 | 30.57 |
| 102 | Corneal resistance factor | GCST90308682 | 30.27 |
| 103 | Pelvic inlet width | GCST90448910 | 30.20 |
| 104 | Tibia length to body height ratio | GCST90270258 | 29.98 |
| 105 | Height (baseline) | GCST90565843 | 29.82 |
| 106 | Corneal hysteresis (right) | Intraocular pressure | UKBB00000149 | 29.65 |
| 107 | Impedance of whole body | Impedance measures | UKBB00000360 | 29.61 |
| 108 | Inguinal hernia (PheCode 550.1) | GCST90476060 | 29.57 |
| 109 | Pulse pressure | GCST90301702 | 29.55 |
| 110 | C21orf58 levels | GCST90618380 | 29.47 |
| 111 | Subclinical hyperthyroidism in pregnancy | GCST90435199 | 29.42 |
| 112 | Fracture of forearm | FING00000554 | 29.28 |
| 113 | Phenylalanine levels | GCST90243407 | 29.27 |
| 114 | Height (standard GWA) | GCST90267284 | 29.14 |
| 115 | Diverticular disease of intestine | Other diseases of intestines | UKBB00000189 | 29.11 |
| 116 | Osteoporosis NOS (PheCode 743.11) | GCST90476260 | 29.06 |
| 117 | Open-angle glaucoma (PheCode 365.1) | GCST90475872 | 29.04 |
| 118 | Hand grip strength right (UKB data field 47) | GCST90468169 | 28.83 |
| 119 | Body size (confirmatory factor analysis Factor 21) | GCST90309355 | 28.65 |
| 120 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 82) | GCST90320645 | 28.59 |
| 121 | COL6A3/CST3 ratio | GCST90314174 | 28.52 |
| 122 | Waist circumference adjusted for body mass index | GCST012226 | 28.48 |
| 123 | Hip index | GCST90020026 | 28.36 |
| 124 | Disorders of muscle, ligament, and fascia | musculoskeletal | UKBB00000187 | 28.17 |
| 125 | Hip circumference adjusted for BMI | GCST012227 | 28.13 |
| 126 | Osteoporosis (PheCode 743.1) | GCST90476259 | 28.04 |
| 127 | Glaucoma | GCST90475869 | 27.82 |
| 128 | Female genital prolapse | FING00000535 | 27.76 |
| 129 | Pelvic width | GCST90448911 | 27.68 |
| 130 | Impedance of leg (right) | Impedance measures | UKBB00000359 | 27.65 |
| 131 | aparc-a2009s rh volume S-central | GCST90003043 | 27.51 |
| 132 | RET levels | GCST90470458 | 27.47 |
| 133 | Corneal hysteresis (left) | Intraocular pressure | UKBB00000148 | 27.44 |
| 134 | Alzheimer's disease (MTAG) | GCST90449055 | 27.40 |
| 135 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 24) | GCST90320587 | 27.26 |
| 136 | Impedance of leg (left) | Impedance measures | UKBB00000358 | 27.16 |
| 137 | IGFBP6/SMOC2 ratio | GCST90315138 | 27.12 |
| 138 | ROBO2/SCARF2 ratio | GCST90315784 | 27.01 |
| 139 | EGFR/FAP ratio | GCST90314613 | 26.97 |
| 140 | Diverticulosis | digestive | UKBB00000190 | 26.82 |
| 141 | Diverticulosis and diverticulitis | digestive | UKBB00000191 | 26.82 |
| 142 | COL6A3/SMOC2 ratio | GCST90314178 | 26.81 |
| 143 | Umbilical hernia (PheCode 550.4) | GCST90476062 | 26.77 |
| 144 | Forced vital capacity FVC Z score (UKB data field 20257) | GCST90468167 | 26.77 |
| 145 | Diverticulosis and diverticulitis (PheCode 562) | GCST90476073 | 26.58 |
| 146 | Hip circumference adjusted for BMI | GCST90020028 | 26.28 |
| 147 | Comparative height size at age 10 | Early life factors | UKBB00000143 | 26.23 |
| 148 | Contracture of palmar fascia [Dupuytren's disease] | musculoskeletal | UKBB00000146 | 26.22 |
| 149 | Pulse pressure, automated reading | Cardiovascular measurement | UKBB00000715 | 25.97 |
| 150 | Pulse pressure, automated reading | Cardiovascular measurement | UKBB00000714 | 25.93 |
| 151 | VCAN levels | GCST90471032 | 25.55 |
| 152 | Pulse pressure, combined automated + manual reading | Cardiovascular measurement | UKBB00000719 | 25.48 |
| 153 | IDP dMRI TBSS MD Pontine crossing tract | GCST90004028 | 25.37 |
| 154 | Pelvic organ prolapse | GCST90102470 | 25.25 |
| 155 | Pulse pressure, combined automated + manual reading | Cardiovascular measurement | UKBB00000718 | 25.24 |
| 156 | SCARA5 levels | GCST90470533 | 25.17 |
| 157 | Progressive vascular leukoencephalopathy | FING00001218 | 24.84 |
| 158 | Retinal breaks without detachment | FING00001258 | 24.52 |
| 159 | Pulse pressure | GCST90472783 | 24.50 |
| 160 | Hand grip strength (right) | Hand grip strength | UKBB00000301 | 24.49 |
| 161 | IDP T1 FAST ROIs R occ pole | GCST90002546 | 24.13 |
| 162 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T5 | ECGU000005 | 24.09 |
| 163 | Dermatochalasis (PheCode 374.6) | GCST90475894 | 23.90 |
| 164 | Pulse pressure | GCST90310296 | 23.52 |
| 165 | Haemorrhoids and perianal venous thrombosis | FING00000599 | 23.45 |
| 166 | BOC levels | GCST90468458 | 23.45 |
| 167 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 37) | GCST90320856 | 23.38 |
| 168 | Barrett's esophagus (PheCode 530.13) | GCST90476048 | 23.32 |
| 169 | PSPN levels | GCST90470364 | 23.23 |
| 170 | Autorefraction - 6mm asymmetry index (left) | Eyesight | UKBB00000073 | 23.19 |
| 171 | Physical function (baseline) | GCST90565837 | 23.17 |
| 172 | FGR levels | GCST90469236 | 23.13 |
| 173 | Waist-to-hip ratio adjusted for BMI | GCST90025996 | 23.07 |
| 174 | DTI autoptx FA str r tract | GCST90385136 | 23.04 |
| 175 | Age-related eyesight deterioration (confirmatory factor analysis Factor 27) | GCST90309361 | 23.00 |
| 176 | Hand grip strength left (UKB data field 46) | GCST90468168 | 22.98 |
| 177 | ZNRF4 levels | GCST90471104 | 22.89 |
| 178 | Haemorrhoidal disease | GCST90014033 | 22.84 |
| 179 | Maximum carotid IMT (intima-medial thickness) at 240 degrees | Carotid ultrasound | UKBB00000429 | 22.76 |
| 180 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T9 | ECGU000009 | 22.67 |
| 181 | BA-exvivo rh volume BA4p | GCST90002854 | 22.65 |
| 182 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T4 | ECGU000004 | 22.60 |
| 183 | Glaucoma (primary open-angle) | GCST90399725 | 22.28 |
| 184 | Forearm length to body height ratio | GCST90270257 | 22.26 |
| 185 | IDP dMRI TBSS OD Fornix | GCST90004407 | 22.24 |
| 186 | Coronary artery calcification | GCST90278456 | 22.09 |
| 187 | aparc-DKTatlas rh area inferiorparietal | GCST90003271 | 21.99 |
| 188 | BA-exvivo rh volume BA3a | GCST90002851 | 21.97 |
| 189 | Umbilical hernia | digestive | UKBB00000880 | 21.64 |
| 190 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T3 | ECGU000003 | 21.61 |
| 191 | Diverticulosis (PheCode 562.1) | GCST90476076 | 21.59 |
| 192 | Pelvic height | GCST90448912 | 21.55 |
| 193 | Operation code - haemorroidectomy / piles surgery/ banding of piles | Operations | UKBB00000557 | 21.48 |
| 194 | CNTN1 levels | GCST90468803 | 21.26 |
| 195 | TNC levels | GCST90470895 | 21.14 |
| 196 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 126) | GCST90320689 | 21.07 |
| 197 | Ribothymidine levels in chronic kidney disease | GCST90257554 | 21.05 |
| 198 | Intestinal infectious diseases | FING00000689 | 21.03 |
| 199 | Pulse pressure, automated reading, adjusted by medication | Cardiovascular measurement | UKBB00000717 | 21.03 |
| 200 | Umbilical hernia | Hernia | UKBB00000881 | 20.97 |
| 201 | Scoliosis | FING00001281 | 20.88 |
| 202 | Pulse pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurement | UKBB00000721 | 20.74 |
| 203 | BA-exvivo lh area entorhinal | GCST90003220 | 20.71 |
| 204 | Pulse pressure, automated reading, adjusted by medication | Cardiovascular measurement | UKBB00000716 | 20.71 |
| 205 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T8 | ECGU000008 | 20.68 |
| 206 | COL6A3/COLEC12 ratio | GCST90314173 | 20.67 |
| 207 | Hand grip strength (baseline) | GCST90565845 | 20.67 |
| 208 | Fasciitis | musculoskeletal | UKBB00000239 | 20.65 |
| 209 | Pulse pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurement | UKBB00000720 | 20.63 |
| 210 | Anterior thigh muscle volume | GCST90267349 | 20.55 |
| 211 | EFEMP1/TGFBR3 ratio | GCST90314597 | 20.52 |
| 212 | BCAN/DPP6 ratio | GCST90313478 | 20.08 |
| 213 | diastolic blood pressure (DBP, mean, inv-normal transformed) | GCST90475255 | 19.93 |
| 214 | Primary open-angle glaucoma, strict | FING00001214 | 19.88 |
| 215 | IDP dMRI ProbtrackX MO str r | GCST90004024 | 19.82 |
| 216 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 41) | GCST90320604 | 19.73 |
| 217 | Aortic aneurysm (PheCode 442.1) | GCST90475993 | 19.63 |
| 218 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T6 | ECGU000006 | 19.61 |
| 219 | Pulse pressure | GCST90472784 | 19.60 |
| 220 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 127) | GCST90320690 | 19.57 |
| 221 | Female genital prolapse | Noninflammatory disorders of female genital tract | UKBB00000244 | 19.55 |
| 222 | DLK1/FAP ratio | GCST90314491 | 19.54 |
| 223 | A body shape index | GCST012231 | 19.49 |
| 224 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 77) | GCST90320896 | 19.34 |
| 225 | aparc-Desikan rh area inferiorparietal | GCST90003114 | 19.19 |
| 226 | C7 levels | GCST90422332 | 19.06 |
| 227 | Treatment speciality of consultant (recoded) - Ophthalmology | Summary Administration | UKBB00000835 | 19.05 |
| 228 | Operative procedures - Palmar fasciectomy | Summary Operations | UKBB00000586 | 19.03 |
| 229 | Palmar fascial fibromatosis [Dupuytren] | FING00001141 | 18.99 |
| 230 | aseg global volume-ratio BrainSegVol-to-eTIV | GCST90002612 | 18.93 |
| 231 | Glaucoma suspect | FING00000579 | 18.91 |
| 232 | EIF4G1/TBC1D23 ratio | GCST90314639 | 18.86 |
| 233 | FAP levels | GCST90469189 | 18.79 |
| 234 | Calcific aortic valve stenosis | GCST90310293 | 18.70 |
| 235 | Descending aorta diameter | GCST90267391 | 18.70 |
| 236 | Fractures | GCST006980 | 18.65 |
| 237 | Height (weighted GWA) | GCST90267285 | 18.62 |
| 238 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 57) | GCST90320620 | 18.52 |
| 239 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 91) | GCST90320654 | 18.51 |
| 240 | Ankle spacing width (right) | Bone-densitometry of heel | UKBB00000034 | 18.47 |
| 241 | Fibroblastic disorders | Other soft tissue disorders | UKBB00000246 | 18.30 |
| 242 | Other aneurysm (PheCode 442) | GCST90475992 | 18.21 |
| 243 | Bone density T-score | GCST90278620 | 18.18 |
| 244 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 123) | GCST90320686 | 18.15 |
| 245 | Glaucoma (multi-trait analysis) | GCST009722 | 18.11 |
| 246 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 41) | GCST90320860 | 18.08 |
| 247 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T2 | ECGU000002 | 18.05 |
| 248 | CTSD/PRCP ratio | GCST90314312 | 17.97 |
| 249 | IDP dMRI TBSS L3 Fornix | GCST90004176 | 17.92 |
| 250 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 98) | GCST90320661 | 17.83 |
| 251 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 47) | GCST90320866 | 17.75 |
| 252 | Glaucoma | GCST90018632 | 17.68 |
| 253 | OLR1 levels | GCST90012020 | 17.67 |
| 254 | Aortic aneurysm | FING00000102 | 17.62 |
| 255 | Myopia (PheCode 367.1) | GCST90475880 | 17.59 |
| 256 | COMP/MYOC ratio | GCST90314191 | 17.52 |
| 257 | CLMP/PIK3IP1 ratio | GCST90314134 | 17.49 |
| 258 | Hand grip strength (left) | Hand grip strength | UKBB00000300 | 17.48 |
| 259 | Subpubic angle | GCST90448908 | 17.46 |
| 260 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 84) | GCST90320903 | 17.46 |
| 261 | IDP dMRI TBSS MD External capsule L | GCST90004060 | 17.45 |
| 262 | Intraocular pressure | GCST004074 | 17.41 |
| 263 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 76) | GCST90320895 | 17.36 |
| 264 | COL4A1 levels | GCST90468818 | 17.31 |
| 265 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T7 | ECGU000007 | 17.25 |
| 266 | IDP T1 FAST ROIs L caudate | GCST90002549 | 17.23 |
| 267 | IDP dMRI TBSS L1 Fornix | GCST90004080 | 17.17 |
| 268 | Forced expiratory volume (baseline) | GCST90565844 | 16.96 |
| 269 | DTI autoptx L3 str r tract | GCST90385217 | 16.95 |
| 270 | Autorefraction - 3mm strong meridian angle (left) | Eyesight | UKBB00000067 | 16.93 |
| 271 | Prolapse of vaginal walls | genitourinary | UKBB00000712 | 16.93 |
| 272 | Diaphragmatic hernia | digestive | UKBB00000171 | 16.90 |
| 273 | Humerus length to body height ratio | GCST90270259 | 16.87 |
| 274 | Retinal detachments and defects | sense organs | UKBB00000756 | 16.85 |
| 275 | Bone density Z-score | GCST90278621 | 16.83 |
| 276 | IDP dMRI TBSS MD Fornix | GCST90004032 | 16.77 |
| 277 | Operative procedures - Angiocardiography of left side of heart NEC | Summary Operations | UKBB00000572 | 16.74 |
| 278 | Hammer toe (acquired) (PheCode 735.21) | GCST90476250 | 16.69 |
| 279 | Blood cell traits latent factor 21 (red cell) | GCST90559263 | 16.69 |
| 280 | Macular degeneration | GCST90475386 | 16.67 |
| 281 | Spondylolisthesis/Spondylolysis | FING00001324 | 16.62 |
| 282 | QC T1 inverse SNR | GCST90006348 | 16.61 |
| 283 | COL24A1 levels | GCST90468814 | 16.53 |
| 284 | BCL2 levels | GCST90468433 | 16.46 |
| 285 | IDP dMRI TBSS MO Fornix | GCST90003957 | 16.44 |
| 286 | Fractured/broken bones in last 5 years | Medical conditions | UKBB00000258 | 16.40 |
| 287 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 60) | GCST90320623 | 16.36 |
| 288 | HSPG2/SMOC2 ratio | GCST90315093 | 16.32 |
| 289 | Calcific aortic valvular stenosis, operated | FING00000234 | 16.29 |
| 290 | COL6A3/OGN ratio | GCST90314177 | 16.29 |
| 291 | Right-hemisphere visual network to right-hemisphere control network white-matter structural connectivity | GCST90302779 | 16.16 |
| 292 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 54) | GCST90320873 | 16.13 |
| 293 | Operation code - inguinal hernia repair | Operations | UKBB00000560 | 16.02 |
| 294 | Cerebrospinal fluid 3-hydroxyhexanoate levels | GCST90318108 | 16.01 |
| 295 | RFC4 levels | GCST90470460 | 15.98 |
| 296 | PRELP levels | GCST90470321 | 15.89 |
| 297 | Maximum indexed left atrial volume | GCST90019012 | 15.88 |
| 298 | Knee extension strength | GCST90319502 | 15.86 |
| 299 | Deforming dorsopathies | FING00000385 | 15.75 |
| 300 | CD34 levels | GCST90468626 | 15.68 |
| 301 | Glaucoma (primary open-angle) | GCST90011768 | 15.63 |
| 302 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 45) | GCST90320608 | 15.60 |
| 303 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T10 | ECGU000010 | 15.57 |
| 304 | Volume of right accessory basal nucleus | GCST90475006 | 15.55 |
| 305 | Descending aorta strain | GCST90267389 | 15.54 |
| 306 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 115) | GCST90320678 | 15.53 |
| 307 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 11) | GCST90320574 | 15.46 |
| 308 | CDON levels | GCST90468687 | 15.46 |
| 309 | Takes medication for Macular Degeneration? | GCST90475387 | 15.44 |
| 310 | Trunk fat-free mass | Impedance measures | UKBB00000865 | 15.35 |
| 311 | aparc-a2009s lh volume S-central | GCST90002969 | 15.35 |
| 312 | Thoracic aortic aneurysm | FING00001357 | 15.34 |
| 313 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 64) | GCST90320883 | 15.28 |
| 314 | Synovitis and tenosynovitis (PheCode 727.1) | GCST90476242 | 15.25 |
| 315 | IDP dMRI TBSS L2 Fornix | GCST90004128 | 15.23 |
| 316 | aparc-Desikan lh area lingual | GCST90003085 | 15.23 |
| 317 | Operative procedures - Insertion of prosthetic replacement for lens NEC | Summary Operations | UKBB00000583 | 15.18 |
| 318 | Trunk predicted mass | Impedance measures | UKBB00000866 | 15.16 |
| 319 | aparc-pial rh area inferiorparietal | GCST90003181 | 15.08 |
| 320 | CD200R1 levels | GCST90468605 | 15.01 |
| 321 | Other mental disorders due to brain damage and dysfunction and to physical disease | FING00001072 | 14.97 |
| 322 | Height | GCST90025949 | 14.93 |
| 323 | Genital prolapse | genitourinary | UKBB00000282 | 14.91 |
| 324 | Primary open angle glaucoma (PheCode 365.11) | GCST90475875 | 14.88 |
| 325 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 26) | GCST90320845 | 14.87 |
| 326 | Osteoporosis NOS | musculoskeletal | UKBB00000599 | 14.79 |
| 327 | Osteoporosis | musculoskeletal | UKBB00000598 | 14.78 |
| 328 | Autorefraction - 3mm cylindrical power (left) | Eyesight | UKBB00000062 | 14.76 |
| 329 | MAMDC2 levels | GCST90469841 | 14.73 |
| 330 | Undecenoylcarnitine (C11:1) levels | GCST90200236 | 14.72 |
| 331 | Takes medication for Glaucoma? | GCST90475384 | 14.68 |
| 332 | LGALS3 levels | GCST90469761 | 14.58 |
| 333 | aparc-DKTatlas lh area lingual | GCST90003245 | 14.54 |
| 334 | Disorders of choroid and retina | FING00000438 | 14.53 |
| 335 | PSG1 levels | GCST90470353 | 14.47 |
| 336 | Forced expiratory volume in 1-second (FEV1) | Spirometry | UKBB00000251 | 14.46 |
| 337 | Ankle spacing width (left) | Bone-densitometry of heel | UKBB00000033 | 14.44 |
| 338 | Blepharochalasis | FING00000220 | 14.38 |
| 339 | Abdominal aortic aneurysm (PheCode 442.11) | GCST90475994 | 14.29 |
| 340 | End-diastolic bi-ventricular shape (principal component 4) | GCST90448483 | 14.28 |
| 341 | Retinal detachments and breaks | Disorders of choroid and retina | UKBB00000755 | 14.26 |
| 342 | MYOC levels | GCST90469983 | 14.25 |
| 343 | Low hand grip strength (60 years and older) (EWGSOP) | GCST90007526 | 14.23 |
| 344 | Phenylacetylcarnitine levels | GCST90199993 | 14.23 |
| 345 | BA-exvivo lh volume entorhinal | GCST90002848 | 14.21 |
| 346 | aparc-a2009s lh thickness S-intrapariet+P-trans | GCST90003658 | 14.14 |
| 347 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 58) | GCST90320621 | 14.14 |
| 348 | IDP dMRI TBSS MD Corticospinal tract R | GCST90004033 | 14.11 |
| 349 | IDP dMRI TBSS MO Medial lemniscus R | GCST90003960 | 14.11 |
| 350 | Use of antiglaucoma preparations and miotics | FING00001409 | 14.06 |
| 351 | Fibroblastic disorders | FING00000542 | 14.06 |
| 352 | CDON/SCARA5 ratio | GCST90313995 | 13.99 |
| 353 | Retinal detachment with retinal defect | sense organs | UKBB00000754 | 13.98 |
| 354 | aparc-a2009s lh area S-collat-transv-ant | GCST90003346 | 13.98 |
| 355 | IDP dMRI ProbtrackX L3 unc l | GCST90004325 | 13.95 |
| 356 | Macular degeneration, wet (PheCode 362.22) | GCST90475852 | 13.94 |
| 357 | SLITRK6 levels | GCST90470671 | 13.93 |
| 358 | Incisional hernia (PheCode 550.6) | GCST90476064 | 13.92 |
| 359 | BPIFB1/GLRX ratio | GCST90313530 | 13.87 |
| 360 | ADAMTS8 levels | GCST90468227 | 13.86 |
| 361 | LTBP2 levels | GCST90469814 | 13.82 |
| 362 | MATN2 levels | GCST90469864 | 13.77 |
| 363 | aseg global volume WM-hypointensities | GCST90002604 | 13.77 |
| 364 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T1 | ECGU000001 | 13.77 |
| 365 | Torso length to body height ratio | GCST90270262 | 13.76 |
| 366 | Macular degeneration (senile) of retina NOS (PheCode 362.29) | GCST90475857 | 13.74 |
| 367 | aparc-a2009s lh volume G-cuneus | GCST90002935 | 13.70 |
| 368 | CCN3/FAP ratio | GCST90313721 | 13.70 |
| 369 | NPL levels | GCST90470072 | 13.69 |
| 370 | IDP dMRI TBSS L1 External capsule L | GCST90004108 | 13.65 |
| 371 | COMP/DPP4 ratio | GCST90314188 | 13.64 |
| 372 | wg lh intensity-contrast entorhinal | GCST90003797 | 13.64 |
| 373 | IDP dMRI TBSS ISOVF Fornix | GCST90004482 | 13.63 |
| 374 | ADGRD1 levels | GCST90468235 | 13.58 |
| 375 | Urine glucuronide of C10H18O2 (12)* levels in chronic kidney disease | GCST90265189 | 13.56 |
| 376 | aseg global volume 4th-Ventricle | GCST90002600 | 13.54 |
| 377 | aparc-a2009s lh volume G-precentral | GCST90002953 | 13.51 |
| 378 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 75) | GCST90320894 | 13.50 |
| 379 | ENG levels | GCST90469108 | 13.44 |
| 380 | Spontaneous coronary artery dissection | GCST90245878 | 13.44 |
| 381 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 52) | GCST90320871 | 13.40 |
| 382 | Operation code - carpal tunnel surgery | Operations | UKBB00000553 | 13.36 |
| 383 | O-sulfo-l-tyrosine levels | GCST90243623 | 13.33 |
| 384 | QC rfMRI-to-T1 linear alignment discrepancy | GCST90006353 | 13.33 |
| 385 | Valine levels | GCST90243453 | 13.33 |
| 386 | IDP dMRI TBSS L2 Pontine crossing tract | GCST90004124 | 13.33 |
| 387 | Sleep apnea (MTAG) (adjusted for BMI) | GCST90267364 | 13.31 |
| 388 | HMCN2 levels | GCST90469461 | 13.29 |
| 389 | Endometriosis of ovary | FING00000501 | 13.24 |
| 390 | TNC/VCAM1 ratio | GCST90315927 | 13.21 |
| 391 | Autorefraction - 3mm strong meridian angle (right) | Eyesight | UKBB00000068 | 13.17 |
| 392 | Diverticular disease of intestine | FING00000471 | 13.13 |
| 393 | Carotid intima-media thickness (MTAG) | GCST90449061 | 13.12 |
| 394 | IDP dMRI ProbtrackX FA ilf l | GCST90003939 | 13.01 |
| 395 | EGFR levels | GCST90469085 | 13.00 |
| 396 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 110) | GCST90320929 | 12.95 |
| 397 | Hypertrophy of breast | FING00000644 | 12.93 |
| 398 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 125) | GCST90320944 | 12.90 |
| 399 | FCRL2/TNFRSF13B ratio | GCST90314801 | 12.88 |
| 400 | Perforation of tympanic membrane | FING00001155 | 12.87 |
| 401 | DLK1/PIK3IP1 ratio | GCST90314492 | 12.87 |
| 402 | Whole body water mass | Impedance measures | UKBB00000916 | 12.86 |
| 403 | Pulse pressure (BMI adjusted) | GCST90335167 | 12.86 |
| 404 | Snoring | GCST009761 | 12.84 |
| 405 | Glaucoma | GCST90468129 | 12.83 |
| 406 | Main speciality of consultant (recoded) - Ophthalmology | Summary Administration | UKBB00000419 | 12.81 |
| 407 | Retinal thickness (functional principal component 2) | GCST90455722 | 12.79 |
| 408 | aparc-a2009s lh thickness G-precuneus | GCST90003632 | 12.75 |
| 409 | Autorefraction - 3mm cylindrical power (right) | Eyesight | UKBB00000063 | 12.72 |
| 410 | Volume of right basal nucleus | GCST90475012 | 12.65 |
| 411 | BA-exvivo lh volume BA3a | GCST90002837 | 12.65 |
| 412 | Ventral hernia | FING00001428 | 12.65 |
| 413 | Urinary ethanolamine to urinary creatinine ratio | GCST90451717 | 12.61 |
| 414 | Glaucoma | FING00000577 | 12.57 |
| 415 | APOF levels | GCST90468339 | 12.54 |
| 416 | aparc-a2009s lh area G-cuneus | GCST90003307 | 12.50 |
| 417 | Whole body fat-free mass | Impedance measures | UKBB00000915 | 12.37 |
| 418 | IDP dMRI TBSS L2 Sagittal stratum L | GCST90004154 | 12.34 |
| 419 | aparc-a2009s rh area S-collat-transv-ant | GCST90003420 | 12.34 |
| 420 | AOC3 levels | GCST90468322 | 12.32 |
| 421 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T13 | ECGU000013 | 12.30 |
| 422 | SIL1 levels | GCST90470638 | 12.27 |
| 423 | wg rh intensity-contrast parahippocampal | GCST90003842 | 12.19 |
| 424 | CREG1/NAAA ratio | GCST90314250 | 12.19 |
| 425 | COL6A3/HSPG2 ratio | GCST90314175 | 12.18 |
| 426 | aparc-DKTatlas lh thickness cuneus | GCST90003543 | 12.17 |
| 427 | Fracture at wrist and hand level | FING00000551 | 12.14 |
| 428 | aparc-Desikan lh volume precentral | GCST90002791 | 12.13 |
| 429 | IDP dMRI TBSS L3 External capsule R | GCST90004203 | 12.12 |
| 430 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T12 | ECGU000012 | 12.11 |
| 431 | COLEC12/OGN ratio | GCST90314184 | 12.10 |
| 432 | IDP T1 FAST ROIs R caudate | GCST90002550 | 12.05 |
| 433 | Diaphragmatic hernia | Hernia | UKBB00000172 | 12.04 |
| 434 | aparc-DKTatlas rh area cuneus | GCST90003268 | 12.04 |
| 435 | Cerebrospinal fluid unidentified metabolite levels (HILIC Metabolomics ID: 3.04_132.06) | GCST90291582 | 12.02 |
| 436 | Angina | GCST90468109 | 12.01 |
| 437 | aseg global volume EstimatedTotalIntraCranial | GCST90002597 | 12.01 |
| 438 | Corneal opacity and other disorders of cornea (PheCode 364) | GCST90475861 | 12.00 |
| 439 | IDP dMRI ProbtrackX MD unc l | GCST90004244 | 11.98 |
| 440 | PILRA/TNFRSF1A ratio | GCST90315655 | 11.96 |
| 441 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 68) | GCST90320631 | 11.92 |
| 442 | Left-hemisphere somatomotor network to thalamus white-matter structural connectivity | GCST90302682 | 11.91 |
| 443 | SMOC2 levels | GCST90470683 | 11.89 |
| 444 | Illnesses of father - Heart disease | Family history | UKBB00000342 | 11.87 |
| 445 | ADAMTSL2 levels | GCST90468228 | 11.86 |
| 446 | Other intervertebral disc disorders | FING00001063 | 11.81 |
| 447 | Spinal stenosis of lumbar region (PheCode 720.1) | GCST90476234 | 11.78 |
| 448 | ADGRB3 levels | GCST90468234 | 11.78 |
| 449 | PECAM1/SOD2 ratio | GCST90315647 | 11.77 |
| 450 | Hernia of abdominal wall | FING00000617 | 11.74 |
| 451 | DLK1 levels | GCST90469003 | 11.74 |
| 452 | Endometriosis | FING00000497 | 11.69 |
| 453 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 122) | GCST90320941 | 11.69 |
| 454 | aparc-a2009s rh area Pole-occipital | GCST90003412 | 11.68 |
| 455 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 107) | GCST90320670 | 11.67 |
| 456 | aparc-Desikan lh volume cuneus | GCST90002772 | 11.66 |
| 457 | Heart failure and coronary heart disease | FING00000604 | 11.66 |
| 458 | Occlusion and stenosis of precerebral arteries (PheCode 433.1) | GCST90475986 | 11.65 |
| 459 | DPP6/SEZ6L ratio | GCST90314544 | 11.63 |
| 460 | Hypermetropia (PheCode 367.8) | GCST90475882 | 11.61 |
| 461 | CD109 levels | GCST90468597 | 11.60 |
| 462 | IDP dMRI ProbtrackX L1 ptr l | GCST90004265 | 11.60 |
| 463 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 125) | GCST90320688 | 11.59 |
| 464 | Peak expiratory flow (UKB data field 3064) | GCST90468176 | 11.57 |
| 465 | aparc-Desikan lh area cuneus | GCST90003077 | 11.54 |
| 466 | Keloid | GCST90652488 | 11.54 |
| 467 | PRTG levels | GCST90470347 | 11.51 |
| 468 | FNDC1 levels | GCST90469256 | 11.48 |
| 469 | Trunk fat percentage | Impedance measures | UKBB00000864 | 11.47 |
| 470 | DPP4/ITGB1 ratio | GCST90314540 | 11.45 |
| 471 | Mean carotid IMT (intima-medial thickness) at 210 degrees | Carotid ultrasound | UKBB00000445 | 11.41 |
| 472 | IDP dMRI TBSS L3 External capsule L | GCST90004204 | 11.39 |
| 473 | CD164/PARK7 ratio | GCST90313743 | 11.38 |
| 474 | IDP dMRI TBSS FA Fornix | GCST90003882 | 11.35 |
| 475 | ITGAM/ITGAV ratio | GCST90315209 | 11.33 |
| 476 | Shoulder width to body height ratio | GCST90270261 | 11.29 |
| 477 | Left-hemisphere salience/ventral attention network to right-hemisphere salience/ventral attention network white-matter structural connectivity | GCST90302715 | 11.28 |
| 478 | Arm predicted mass (right) | Impedance measures | UKBB00000050 | 11.27 |
| 479 | CTSO/IGF2R ratio | GCST90314317 | 11.27 |
| 480 | PLXDC2 levels | GCST90470264 | 11.26 |
| 481 | aparc-Desikan lh thickness cuneus | GCST90003449 | 11.25 |
| 482 | FAP/THBS4 ratio | GCST90314785 | 11.25 |
| 483 | Diarrhoea and gastroenteritis of presumed infectious origin | FING00000420 | 11.19 |
| 484 | aparc-DKTatlas lh volume cuneus | GCST90002865 | 11.17 |
| 485 | IDP dMRI ProbtrackX L2 ilf l | GCST90004287 | 11.17 |
| 486 | Glaucoma | GCST90475383 | 11.16 |
| 487 | Unspecified osteomyelitis (PheCode 710.19) | GCST90476224 | 11.16 |
| 488 | Other hammer toe(s) (acquired) | FING00001054 | 11.14 |
| 489 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 102) | GCST90320921 | 11.14 |
| 490 | Left-hemisphere limbic network to right-hemisphere limbic network white-matter structural connectivity | GCST90302733 | 11.13 |
| 491 | Pulse pressure (BMI unadjusted) | GCST90335166 | 11.09 |
| 492 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 59) | GCST90320878 | 11.07 |
| 493 | Autorefraction - 6mm asymmetry angle (left) | Eyesight | UKBB00000072 | 11.05 |
| 494 | Spinal stenosis (PheCode 720) | GCST90476233 | 11.04 |
| 495 | Early lumbar disc prolapse, operated | FING00000484 | 11.04 |
| 496 | Other joint disorders | FING00001064 | 11.03 |
| 497 | IDP dMRI TBSS ISOVF Superior longitudinal fasciculus L | GCST90004518 | 11.03 |
| 498 | CHCHD10 levels | GCST90468738 | 11.01 |
| 499 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 32) | GCST90320595 | 11.00 |
| 500 | Arm fat-free mass (right) | Impedance measures | UKBB00000048 | 11.00 |
| 501 | LAMB1 levels | GCST90469732 | 10.98 |
| 502 | IDP dMRI ProbtrackX OD str r | GCST90004474 | 10.94 |
| 503 | FAP/LRRN1 ratio | GCST90314783 | 10.92 |
| 504 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 114) | GCST90320677 | 10.92 |
| 505 | IDP dMRI TBSS FA Tapetum L | GCST90003924 | 10.91 |
| 506 | Gestational age at birth (child effect) | GCST90268421 | 10.91 |
| 507 | FEV1 FVC ratio Z score (UKB data field 20258) | GCST90468165 | 10.90 |
| 508 | Volume of left paralaminar nucleus | GCST90474982 | 10.89 |
| 509 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 46) | GCST90320609 | 10.88 |
| 510 | Mean volume of bilateral amygdala | GCST90474994 | 10.88 |
| 511 | aparc-DKTatlas lh area entorhinal | GCST90003238 | 10.86 |
| 512 | Unspecified monoarthritis | musculoskeletal | UKBB00000882 | 10.85 |
| 513 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 85) | GCST90320904 | 10.79 |
| 514 | BA-exvivo rh volume BA6 | GCST90002855 | 10.79 |
| 515 | Multi-trait sex score | GCST90270118 | 10.79 |
| 516 | IDP T1 FAST ROIs L intracalc cortex | GCST90002497 | 10.77 |
| 517 | Tetradecadienedioate (C14:2-DC) metabolite level | GCST90616275 | 10.76 |
| 518 | X-25371 levels | GCST90200656 | 10.75 |
| 519 | T1 FreeSurfer DKT rh fusiform thickness | GCST90384322 | 10.75 |
| 520 | PSAP levels | GCST90426586 | 10.73 |
| 521 | IDP dMRI TBSS MD External capsule R | GCST90004059 | 10.73 |
| 522 | HSPG2 levels | GCST90179392 | 10.73 |
| 523 | Heart rate variability traits (SDNN) | GCST004734 | 10.72 |
| 524 | Inguinal hernia, bilateral | FING00000682 | 10.72 |
| 525 | Medication use (antithrombotic agents) | GCST90018762 | 10.72 |
| 526 | aparc-DKTatlas lh volume precentral | GCST90002884 | 10.71 |
| 527 | FUT8/TNFSF14 ratio | GCST90314895 | 10.71 |
| 528 | Noninflammatory disorders of female genital tract | FING00000882 | 10.70 |
| 529 | Right-hemisphere limbic network to caudate white-matter structural connectivity | GCST90302828 | 10.69 |
| 530 | IDP dMRI TBSS L1 Superior fronto-occipital fasciculus R | GCST90004117 | 10.65 |
| 531 | Endometriosis | GCST90018619 | 10.64 |
| 532 | IDP dMRI ProbtrackX L3 unc r | GCST90004326 | 10.58 |
| 533 | IGF1 levels | GCST90025989 | 10.50 |
| 534 | aparc-Desikan rh area lingual | GCST90003119 | 10.49 |
| 535 | Metabolic disorder, other/unspecified | FING00000815 | 10.43 |
| 536 | AHCY/HSPA1A ratio | GCST90313211 | 10.40 |
| 537 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T14 | ECGU000014 | 10.39 |
| 538 | NCR3 levels | GCST90088179 | 10.38 |
| 539 | Nerve, nerve root and plexus disorders | FING00000862 | 10.37 |
| 540 | IDP T1 FAST ROIs V cerebellum VIIIa | GCST90002579 | 10.36 |
| 541 | IDP dMRI TBSS MD Superior fronto-occipital fasciculus R | GCST90004069 | 10.36 |
| 542 | Biological Sibling: Alzheimer's / Other Dementia | GCST90476375 | 10.32 |
| 543 | aparc-a2009s rh area G-oc-temp-med-Lingual | GCST90003392 | 10.31 |
| 544 | Glaucoma (primary open-angle) | GCST90011766 | 10.31 |
| 545 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 2) | GCST90320565 | 10.30 |
| 546 | IDP dMRI ProbtrackX MD cgh l | GCST90004225 | 10.29 |
| 547 | Whole body water mass (UKB data field 23102) | GCST90468184 | 10.26 |
| 548 | IDP dMRI TBSS MD Retrolenticular part of internal capsule L | GCST90004048 | 10.25 |
| 549 | CCL8 levels | GCST90422346 | 10.24 |
| 550 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 121) | GCST90320940 | 10.24 |
| 551 | aparc-Desikan rh area pericalcarine | GCST90003127 | 10.19 |
| 552 | aparc-DKTatlas rh area lingual | GCST90003276 | 10.16 |
| 553 | QC tfMRI-to-T1 linear alignment discrepancy | GCST90006354 | 10.16 |
| 554 | IDP dMRI TBSS MD Superior fronto-occipital fasciculus L | GCST90004070 | 10.15 |
| 555 | Knee osteoarthritis | GCST007090 | 10.14 |
| 556 | DTI autoptx L2 str r tract | GCST90385190 | 10.14 |
| 557 | aparc-DKTatlas rh area pericalcarine | GCST90003284 | 10.14 |
| 558 | Ascending aorta diameter | GCST90267390 | 10.14 |
| 559 | Umbilical hernia | FING00001395 | 10.12 |
| 560 | Operative procedures - Carpal tunnel release | Summary Operations | UKBB00000574 | 10.11 |
| 561 | Lymphoplasmacytic lymphoma and Waldenstrom macroglobulinemia | GCST90624744 | 10.08 |
| 562 | CD79B/FCRL2 ratio | GCST90313900 | 10.04 |
| 563 | Peritonsillar abscess | FING00001160 | 10.04 |
| 564 | BA-exvivo rh area V1 | GCST90003230 | 10.01 |
| 565 | REST UKBBICA NET100 1287 | GCST90387141 | 10.00 |
| 566 | Primary angle-closure glaucoma (PheCode 365.2) | GCST90475876 | 10.00 |
| 567 | rfMRI amplitudes (ICA100 node 27) | GCST90004615 | 9.98 |
| 568 | Coronary atherosclerosis (PheCode 411.4) | GCST90043957 | 9.97 |
| 569 | aparc-DKTatlas lh area cuneus | GCST90003237 | 9.95 |
| 570 | Fat-free mass | GCST007063 | 9.94 |
| 571 | aparc-DKTatlas rh volume precentral | GCST90002915 | 9.94 |
| 572 | Female infertility, associated with anovulation | FING00000537 | 9.93 |
| 573 | Lung function (FEV1/FVC) | GCST007431 | 9.92 |
| 574 | ST6GALNAC2 levels | GCST90240251 | 9.92 |
| 575 | Volume of right cortico-amygdaloid transition area | GCST90475018 | 9.91 |
| 576 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T11 | ECGU000011 | 9.90 |
| 577 | Other specified and unspecified disorders of lens | FING00001101 | 9.88 |
| 578 | Mononeuropathies of upper limb | Nerve, nerve root and plexus disorders | UKBB00000481 | 9.88 |
| 579 | IDP dMRI ProbtrackX MD fma | GCST90004229 | 9.86 |
| 580 | Acylcarnitine (18:2) levels | GCST90024623 | 9.86 |
| 581 | Arm predicted mass (left) | Impedance measures | UKBB00000049 | 9.85 |
| 582 | Stable angina pectoris | GCST90018695 | 9.84 |
| 583 | ALB levels | GCST90475103 | 9.84 |
| 584 | Operation code - varicose vein surgery | Operations | UKBB00000568 | 9.81 |
| 585 | aseg rh intensity Lateral-Ventricle | GCST90003778 | 9.81 |
| 586 | IDP dMRI TBSS ICVF Fornix | GCST90004332 | 9.80 |
| 587 | SRPX levels | GCST90470744 | 9.80 |
| 588 | Coronary angioplasty | FING00000357 | 9.79 |
| 589 | Hair/balding pattern: Pattern 4 (UKB data field 2395_4) | GCST90043619 | 9.77 |
| 590 | MSMB levels | GCST90469949 | 9.76 |
| 591 | TNFRSF4/TNFRSF9 ratio | GCST90315939 | 9.76 |
| 592 | rfMRI connectivity (ICA100 edge 380) | GCST90005233 | 9.75 |
| 593 | Descending aorta distensibility | GCST90267386 | 9.74 |
| 594 | IDP dMRI ProbtrackX L2 unc l | GCST90004298 | 9.74 |
| 595 | Tibiofemoral angle | GCST90270263 | 9.74 |
| 596 | CST3/TFF3 ratio | GCST90314299 | 9.72 |
| 597 | aparc-a2009s lh area S-subparietal | GCST90003367 | 9.69 |
| 598 | ANGPTL7 levels | GCST90468306 | 9.68 |
| 599 | aparc-Desikan lh thickness precuneus | GCST90003469 | 9.68 |
| 600 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 101) | GCST90320920 | 9.67 |
| 601 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 128) | GCST90320691 | 9.67 |
| 602 | Hip minimal joint space width | GCST90281365 | 9.66 |
| 603 | Osteomyelitis, periostitis, and other infections involving bone (PheCode 710) | GCST90476220 | 9.66 |
| 604 | ESR1 levels | GCST90469155 | 9.65 |
| 605 | PSME2/RBKS ratio | GCST90315737 | 9.63 |
| 606 | Volume of right lateral nucleus | GCST90475034 | 9.62 |
| 607 | aparc-a2009s lh thickness G-cuneus | GCST90003613 | 9.61 |
| 608 | IDP dMRI ProbtrackX L3 ilf l | GCST90004314 | 9.61 |
| 609 | Benign neoplasm: Adrenal gland | FING00000164 | 9.61 |
| 610 | aparc-Desikan rh area cuneus | GCST90003111 | 9.61 |
| 611 | Systolic blood pressure | GCST90301697 | 9.60 |
| 612 | ICD10 N81: Female genital prolapse | GCST90454214 | 9.59 |
| 613 | Cataract | sense organs | UKBB00000120 | 9.57 |
| 614 | CALCA levels | GCST90468528 | 9.56 |
| 615 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 2) | GCST90320821 | 9.56 |
| 616 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 40) | GCST90320859 | 9.54 |
| 617 | CTSZ/NAAA ratio | GCST90314320 | 9.53 |
| 618 | wg rh intensity-contrast caudalmiddlefrontal | GCST90003830 | 9.51 |
| 619 | MATN2/SCARA5 ratio | GCST90315388 | 9.50 |
| 620 | PLXDC1 levels | GCST90470263 | 9.47 |
| 621 | Frequency of light DIY in last 4 weeks | Physical activity | UKBB00000264 | 9.45 |
| 622 | Autorefraction - 3mm cylindrical power angle (left) | Eyesight | UKBB00000064 | 9.39 |
| 623 | wg lh intensity-contrast middletemporal | GCST90003806 | 9.38 |
| 624 | CASP1 levels | GCST90468543 | 9.37 |
| 625 | SFRP2 levels | GCST90242727 | 9.36 |
| 626 | BA-exvivo lh thickness BA2 | GCST90003514 | 9.34 |
| 627 | Angina pectoris | Ischaemic heart diseases | UKBB00000031 | 9.33 |
| 628 | Acute appendicitis | FING00000017 | 9.32 |
| 629 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 82) | GCST90320901 | 9.30 |
| 630 | Lumbar disc prolapse | FING00000735 | 9.28 |
| 631 | CCN3 levels | GCST90468589 | 9.28 |
| 632 | DSG4 levels | GCST90469044 | 9.27 |
| 633 | Arm fat-free mass (left) | Impedance measures | UKBB00000047 | 9.25 |
| 634 | Leg predicted mass (right) | Impedance measures | UKBB00000397 | 9.23 |
| 635 | HHIP levels | GCST90617097 | 9.23 |
| 636 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 103) | GCST90320922 | 9.22 |
| 637 | CPM levels | GCST90240598 | 9.21 |
| 638 | Volume of left basal nucleus | GCST90474946 | 9.17 |
| 639 | Trigger finger | FING00001376 | 9.16 |
| 640 | aparc-Desikan lh area caudalmiddlefrontal | GCST90003076 | 9.15 |
| 641 | IDP dMRI ProbtrackX MD ilf l | GCST90004233 | 9.14 |
| 642 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 94) | GCST90320913 | 9.14 |
| 643 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 51) | GCST90320614 | 9.13 |
| 644 | HAMP levels | GCST90451683 | 9.11 |
| 645 | Left ventricular wall thickness (maximal) | GCST90435263 | 9.10 |
| 646 | IDP dMRI TBSS MO Anterior corona radiata R | GCST90003974 | 9.10 |
| 647 | IDP dMRI ProbtrackX L3 ifo r | GCST90004313 | 9.09 |
| 648 | Leg fat-free mass (right) | Impedance measures | UKBB00000394 | 9.08 |
| 649 | BA-exvivo lh area V2 | GCST90003217 | 9.05 |
| 650 | Barrett's esophagus | GCST90000515 | 9.05 |
| 651 | aparc-a2009s rh area G-cuneus | GCST90003381 | 9.04 |
| 652 | Glucose levels | GCST90132724 | 9.02 |
| 653 | Intra-ocular pressure, corneal-compensated (right) | Intraocular pressure | UKBB00000375 | 9.01 |
| 654 | FEV1/FVC ratio | Other measurement | UKBB00000245 | 9.01 |
| 655 | DPP6/SEZ6L2 ratio | GCST90314543 | 8.99 |
| 656 | Degeneration of macula and posterior pole of retina (PheCode 362.2) | GCST90475849 | 8.98 |
| 657 | Left-hemisphere salience/ventral attention network to thalamus white-matter structural connectivity | GCST90302719 | 8.95 |
| 658 | IDP dMRI ProbtrackX ISOVF fma | GCST90004535 | 8.95 |
| 659 | Benign mammary dysplasia | FING00000151 | 8.94 |
| 660 | Body fat percentage (adjusted for testosterone and SHBG) | GCST90432179 | 8.94 |
| 661 | Benign lipomatous neoplasm of skin and subcutaneous tissue of trunk | FING00000150 | 8.91 |
| 662 | IDP dMRI TBSS L3 Retrolenticular part of internal capsule L | GCST90004192 | 8.89 |
| 663 | IDP dMRI ProbtrackX FA unc r | GCST90003951 | 8.88 |
| 664 | Total thigh muscle volume z-score | GCST90267356 | 8.87 |
| 665 | CHRDL1/SMOC2 ratio | GCST90314062 | 8.87 |
| 666 | IDP dMRI ProbtrackX MD unc r | GCST90004245 | 8.86 |
| 667 | Intra-ocular pressure, corneal-compensated (left) | Intraocular pressure | UKBB00000374 | 8.85 |
| 668 | BTN2A1/SMOC2 ratio | GCST90313549 | 8.84 |
| 669 | Macular puckering of retina (PheCode 362.26) | GCST90475854 | 8.84 |
| 670 | MXRA8 levels | GCST90469968 | 8.83 |
| 671 | QC T1-to-standard nonlinear alignment discrepancy | GCST90006346 | 8.82 |
| 672 | Mean carotid IMT (intima-medial thickness) at 240 degrees | Carotid ultrasound | UKBB00000446 | 8.82 |
| 673 | Sulcal opening distance of the right calloso-marginal posterior fissure | GCST90104946 | 8.82 |
| 674 | Coronary revascularization (ANGIO or CABG) | FING00000360 | 8.82 |
| 675 | COMP levels | GCST90468827 | 8.82 |
| 676 | IDP dMRI TBSS L1 Corticospinal tract R | GCST90004081 | 8.81 |
| 677 | IDP dMRI TBSS L2 Posterior limb of internal capsule R | GCST90004141 | 8.81 |
| 678 | aparc-a2009s rh volume S-orbital-H-Shaped | GCST90003062 | 8.78 |
| 679 | DTI TBSS L3 Superior corona radiata L | GCST90384549 | 8.78 |
| 680 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 23) | GCST90320842 | 8.77 |
| 681 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 81) | GCST90320644 | 8.76 |
| 682 | Maximum carotid IMT (intima-medial thickness) at 210 degrees | Carotid ultrasound | UKBB00000428 | 8.75 |
| 683 | wg lh intensity-contrast transversetemporal | GCST90003825 | 8.75 |
| 684 | GSTA4 levels | GCST90241283 | 8.75 |
| 685 | Volume of right whole amygdala | GCST90475054 | 8.74 |
| 686 | COL6A3/TAFA5 ratio | GCST90314180 | 8.73 |
| 687 | Autorefraction - 3mm weak meridian angle (left) | Eyesight | UKBB00000071 | 8.72 |
| 688 | Takes medication for heart attack? | GCST90475212 | 8.71 |
| 689 | systolic blood pressure (SBP, mean, inv-normal transformed) | GCST90476403 | 8.71 |
| 690 | aparc-a2009s lh area G-oc-temp-med-Lingual | GCST90003318 | 8.68 |
| 691 | Levulinate 4-oxovalerate levels | GCST90243545 | 8.68 |
| 692 | VWF levels | GCST90471065 | 8.67 |
| 693 | X-24337 levels | GCST90200629 | 8.65 |
| 694 | Thoracic or lumbosacral neuritis or radiculitis, unspecified (PheCode 763) | GCST90476268 | 8.64 |
| 695 | Spherical power (left) | Autorefraction | UKBB00000790 | 8.64 |
| 696 | QC dMRI-to-T1 linear alignment discrepancy | GCST90006351 | 8.62 |
| 697 | Diffuse idiopathic skeletal hyperostosis flow score | GCST90134532 | 8.62 |
| 698 | Pulse wave reflection index | Arterial stiffness | UKBB00000726 | 8.62 |
| 699 | LAMP1 levels | GCST90469733 | 8.59 |
| 700 | PAMR1 levels | GCST90470155 | 8.58 |
| 701 | ICD10 N80: Endometriosis | GCST90454213 | 8.58 |
| 702 | LGALS3 levels | GCST90179303 | 8.58 |
| 703 | HGF/TNFSF14 ratio | GCST90315060 | 8.55 |
| 704 | Corneal dystrophy (PheCode 364.5) | GCST90475864 | 8.54 |
| 705 | IDP dMRI TBSS MD Cingulum cingulate gyrus L | GCST90004062 | 8.54 |
| 706 | IDP dMRI ProbtrackX MD ar r | GCST90004220 | 8.53 |
| 707 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 44) | GCST90320607 | 8.53 |
| 708 | Frozen shoulder | GCST90000513 | 8.52 |
| 709 | Cereal type - Oat cereal (e.g. Ready Brek, porridge) | Diet | UKBB00000124 | 8.50 |
| 710 | Acetabular diameter | GCST90448906 | 8.50 |
| 711 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 79) | GCST90320898 | 8.49 |
| 712 | aparc-DKTatlas lh area caudalmiddlefrontal | GCST90003236 | 8.48 |
| 713 | 4-hydroxyglutamate levels | GCST90199890 | 8.48 |
| 714 | Lung function (FEV1/FVC) | GCST90025978 | 8.47 |
| 715 | FVC | GCST90278629 | 8.46 |
| 716 | Angina pectoris | GCST90018573 | 8.44 |
| 717 | Ascending aorta diameter | GCST90091050 | 8.43 |
| 718 | aparc-a2009s rh thickness G-cuneus | GCST90003687 | 8.43 |
| 719 | Left-hemisphere default mode network to right-hemisphere visual network white-matter structural connectivity | GCST90302760 | 8.41 |
| 720 | SFRP4 levels | GCST90470611 | 8.41 |
| 721 | BA-exvivo lh volume BA6 | GCST90002841 | 8.39 |
| 722 | Intracerebral hemorrhage | GCST90018650 | 8.37 |
| 723 | IDP dMRI ProbtrackX L2 ifo l | GCST90004285 | 8.36 |
| 724 | rfMRI amplitudes (ICA100 node 40) | GCST90004628 | 8.36 |
| 725 | TPM2 levels | GCST90243122 | 8.36 |
| 726 | IFIT2 levels | GCST90090864 | 8.34 |
| 727 | DNAJA2/HPCAL1 ratio | GCST90314503 | 8.34 |
| 728 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 93) | GCST90320912 | 8.33 |
| 729 | PKD1 levels | GCST90470240 | 8.33 |
| 730 | Spinal stenosis | FING00001322 | 8.32 |
| 731 | DKKL1 levels | GCST90469000 | 8.32 |
| 732 | ENPP7 levels | GCST90469118 | 8.31 |
| 733 | aparc-DKTatlas rh volume parahippocampal | GCST90002907 | 8.29 |
| 734 | DTI autoptx MD unc l tract | GCST90385245 | 8.29 |
| 735 | Non-cancer illness code, self-reported - angina | Medical conditions | UKBB00000505 | 8.29 |
| 736 | DPP4 levels | GCST90469033 | 8.28 |
| 737 | Macular degeneration, dry (PheCode 362.21) | GCST90475851 | 8.27 |
| 738 | Angina pectoris | circulatory system | UKBB00000030 | 8.27 |
| 739 | IDP T1 FAST ROIs L front operc cortex | GCST90002531 | 8.27 |
| 740 | IDP dMRI ProbtrackX MD ar l | GCST90004219 | 8.27 |
| 741 | HJV levels | GCST90469455 | 8.26 |
| 742 | FOLH1 levels | GCST90427192 | 8.26 |
| 743 | Left hippocampal volume (tail) | GCST90267951 | 8.25 |
| 744 | ALB levels | GCST90475100 | 8.24 |
| 745 | aparc-Desikan rh volume precentral | GCST90002824 | 8.24 |
| 746 | Glaucoma | sense organs | UKBB00000287 | 8.21 |
| 747 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T15 | ECGU000015 | 8.21 |
| 748 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 8) | GCST90320827 | 8.21 |
| 749 | IDP dMRI TBSS L2 Tapetum L | GCST90004170 | 8.20 |
| 750 | wg lh intensity-contrast superiortemporal | GCST90003821 | 8.20 |
| 751 | Osteomyelitis (PheCode 710.1) | GCST90476221 | 8.17 |
| 752 | Major coronary heart disease event | FING00000746 | 8.16 |
| 753 | AIFM1/EGF ratio | GCST90313219 | 8.16 |
| 754 | PTPRZ1 levels | GCST90470388 | 8.14 |
| 755 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 39) | GCST90320858 | 8.13 |
| 756 | Diseases of external ear | FING00000424 | 8.13 |
| 757 | IDP dMRI ProbtrackX L3 ilf r | GCST90004315 | 8.12 |
| 758 | Glaucoma | Glaucoma | UKBB00000286 | 8.12 |
| 759 | Basal metabolic rate | Impedance measures | UKBB00000086 | 8.10 |
| 760 | 10-undecenoate (11:1n1) levels | GCST90243596 | 8.09 |
| 761 | Other disorders of circulatory system | circulatory system | UKBB00000607 | 8.09 |
| 762 | T1 FreeSurfer aseg Left-Inf-Lat-Vent | GCST90384140 | 8.09 |
| 763 | AGRN/HSPG2 ratio | GCST90313201 | 8.07 |
| 764 | aparc-Desikan rh volume parahippocampal | GCST90002816 | 8.07 |
| 765 | NTPROBNP levels | GCST90470096 | 8.07 |
| 766 | THBS2 levels | GCST90470854 | 8.06 |
| 767 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 118) | GCST90320681 | 8.06 |
| 768 | Triacylglycerol_46:4_[M+NH4]1+ levels | GCST90060362 | 8.05 |
| 769 | Prescriptions - anti-malarial | UKBB00000663 | 8.05 |
| 770 | Prescriptions - quinine bisulfate | anti-malarial | UKBB00000698 | 8.05 |
| 771 | VSNL1 levels | GCST90471054 | 8.02 |
| 772 | systolic blood pressure (SBP, maximum, inv-normal transformed) | GCST90476400 | 8.01 |
| 773 | aparc-DKTatlas rh thickness cuneus | GCST90003574 | 8.01 |
| 774 | SCARF2 levels | GCST90470537 | 8.00 |
| 775 | CXCL10/WARS ratio | GCST90314332 | 7.99 |
| 776 | IDP dMRI ProbtrackX L3 ar r | GCST90004301 | 7.98 |
| 777 | Bioavailable testosterone levels | GCST90012104 | 7.97 |
| 778 | Coronary artery bypass grafting | FING00000358 | 7.95 |
| 779 | DTI autoptx L3 unc l tract | GCST90385218 | 7.94 |
| 780 | L1CAM levels | GCST90469723 | 7.94 |
| 781 | IGF1 levels | GCST90468078 | 7.93 |
| 782 | Hypertrophy of breast in women and men | FING00000645 | 7.92 |
| 783 | Illnesses of father - None of the above (group 1) | Family history | UKBB00000345 | 7.89 |
| 784 | Optic cup area | GCST004137 | 7.88 |
| 785 | CHCHD6 levels | GCST90468739 | 7.86 |
| 786 | ERBB3 levels | GCST90469140 | 7.85 |
| 787 | Osteoporosis | FING00000914 | 7.85 |
| 788 | SCARA5/TNC ratio | GCST90315810 | 7.84 |
| 789 | TNFRSF14/TNFSF14 ratio | GCST90315936 | 7.83 |
| 790 | IDP dMRI ProbtrackX L3 ifo l | GCST90004312 | 7.83 |
| 791 | IDP T1 FAST ROIs L cuneal cortex | GCST90002513 | 7.81 |
| 792 | FAM3B/FGF19 ratio | GCST90314776 | 7.81 |
| 793 | BA-exvivo lh area V1 | GCST90003216 | 7.81 |
| 794 | RBP7 levels | GCST90470440 | 7.80 |
| 795 | CST3/IGFBP6 ratio | GCST90314293 | 7.80 |
| 796 | CTSO levels | GCST90179277 | 7.79 |
| 797 | wg rh intensity-contrast parstriangularis | GCST90003846 | 7.78 |
| 798 | aparc-DKTatlas lh thickness precuneus | GCST90003563 | 7.78 |
| 799 | ThalamNuclei rh volume CeM | GCST90002751 | 7.77 |
| 800 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 106) | GCST90320925 | 7.76 |
| 801 | ACVRL1/TNFRSF19 ratio | GCST90313159 | 7.73 |
| 802 | IDP dMRI ProbtrackX L2 unc r | GCST90004299 | 7.73 |
| 803 | IL31RA levels | GCST90469589 | 7.72 |
| 804 | IDP dMRI TBSS L3 Retrolenticular part of internal capsule R | GCST90004191 | 7.72 |
| 805 | aparc-DKTatlas lh volume caudalmiddlefrontal | GCST90002864 | 7.71 |
| 806 | BA-exvivo lh volume BA4p | GCST90002840 | 7.71 |
| 807 | NRP1 levels | GCST90470085 | 7.71 |
| 808 | Benign leiomyoma with endometriosis (controls excluding all cancers) | FING00000145 | 7.70 |
| 809 | Sphingomyelin (d17:1/16:0, d18:1/15:0, d16:1/17:0) levels | GCST90200017 | 7.69 |
| 810 | BA-exvivo rh volume BA45 | GCST90002857 | 7.69 |
| 811 | Acquired foot deformities | musculoskeletal | UKBB00000007 | 7.68 |
| 812 | aparc-pial lh area cuneus | GCST90003145 | 7.67 |
| 813 | Left-hemisphere control network to thalamus white-matter structural connectivity | GCST90302752 | 7.66 |
| 814 | Prescriptions - losartan | angiotensin receptor blocker,anti-hypertensive,ARB | UKBB00000690 | 7.65 |
| 815 | Left-hemisphere visual network to left-hemisphere control network white-matter structural connectivity | GCST90302653 | 7.65 |
| 816 | DNAJA2/PLXNA4 ratio | GCST90314504 | 7.64 |
| 817 | CNTN5 levels | GCST90468807 | 7.64 |
| 818 | VIT levels | GCST90471041 | 7.62 |
| 819 | IDP dMRI TBSS L3 Superior fronto-occipital fasciculus L | GCST90004214 | 7.62 |
| 820 | CILP levels | GCST90468754 | 7.60 |
| 821 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T37 | ECGU000037 | 7.60 |
| 822 | Systolic blood pressure | GCST90301695 | 7.59 |
| 823 | Metabolonic lactone sulfate levels | GCST90200257 | 7.58 |
| 824 | BA-exvivo lh thickness BA4a | GCST90003517 | 7.57 |
| 825 | Liver proton density fat fraction | GCST90267352 | 7.57 |
| 826 | Depression/anxiety (weighted GWA) | GCST90267277 | 7.55 |
| 827 | CLMP/TNFRSF19 ratio | GCST90314136 | 7.54 |
| 828 | Glaucoma, exfoliation | FING00000580 | 7.52 |
| 829 | Low hand grip strength (60 years and older) (EWGSOP) | GCST90007527 | 7.52 |
| 830 | Valvular heart disease excluding rheumatic fever | FING00001414 | 7.51 |
| 831 | NAAA/SMPD1 ratio | GCST90315510 | 7.51 |
| 832 | aparc-Desikan lh thickness GlobalMeanThickness | GCST90003445 | 7.50 |
| 833 | ALB levels | GCST90475106 | 7.50 |
| 834 | Stroke, excluding SAH | FING00001337 | 7.49 |
| 835 | Nonrheumatic aortic valve disorders (PheCode 395.2) | GCST90475914 | 7.49 |
| 836 | Acquired deformities of fingers and toes | Other joint disorders | UKBB00000006 | 7.49 |
| 837 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 28) | GCST90320847 | 7.48 |
| 838 | Other cataract | Disorders of lens | UKBB00000602 | 7.47 |
| 839 | Osteoporosis, osteopenia and pathological fracture | musculoskeletal | UKBB00000600 | 7.47 |
| 840 | Pulse wave peak to peak time | Arterial stiffness | UKBB00000725 | 7.46 |
| 841 | Obstructed labour due to maternal pelvic abnormality | FING00000899 | 7.46 |
| 842 | IDP T1 FAST ROIs V cerebellum X | GCST90002588 | 7.46 |
| 843 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 57) | GCST90320876 | 7.45 |
| 844 | aseg global intensity WM-hypointensities | GCST90003756 | 7.43 |
| 845 | CNTN4 levels | GCST90468806 | 7.43 |
| 846 | aparc-DKTatlas lh area pericalcarine | GCST90003253 | 7.41 |
| 847 | Minimum carotid IMT (intima-medial thickness) at 210 degrees | Carotid ultrasound | UKBB00000477 | 7.40 |
| 848 | Contracture of palmar fascia [Dupuytren's disease] (PheCode 728.71) | GCST90476245 | 7.39 |
| 849 | CD48 levels | GCST90425676 | 7.37 |
| 850 | aparc-Desikan lh volume caudalmiddlefrontal | GCST90002771 | 7.35 |
| 851 | IGF1 levels | UKBB00000337 | 7.35 |
| 852 | FGF19/SCG2 ratio | GCST90314809 | 7.35 |
| 853 | 1-palmitoyl-2-arachidonoyl-gpc (16:0/20:4n6) levels | GCST90200692 | 7.35 |
| 854 | Arthropathies | FING00000107 | 7.35 |
| 855 | DAB2/TBL1X ratio | GCST90314368 | 7.34 |
| 856 | ASPN levels | GCST90468377 | 7.33 |
| 857 | CCDC80/CCL27 ratio | GCST90313669 | 7.32 |
| 858 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T30 | ECGU000030 | 7.32 |
| 859 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 97) | GCST90320660 | 7.32 |
| 860 | Medication use (salicylic acid and derivatives) | GCST90018775 | 7.32 |
| 861 | ATXN2L levels | GCST90468402 | 7.31 |
| 862 | INHBB levels | GCST90469614 | 7.31 |
| 863 | EFEMP1/FSTL3 ratio | GCST90314595 | 7.30 |
| 864 | Illnesses of mother - None of the above (group 1) | Family history | UKBB00000349 | 7.29 |
| 865 | Spherical power (right) | Autorefraction | UKBB00000791 | 7.28 |
| 866 | IL13RA1 levels | GCST90469552 | 7.28 |
| 867 | aparc-Desikan rh volume lateraloccipital | GCST90002811 | 7.27 |
| 868 | aparc-DKTatlas rh volume lateraloccipital | GCST90002902 | 7.27 |
| 869 | COMP/ITGAV ratio | GCST90314190 | 7.27 |
| 870 | ITGAV levels | GCST90469639 | 7.26 |
| 871 | ITGA11 levels | GCST90469633 | 7.25 |
| 872 | TGFBR3 levels | GCST90470848 | 7.25 |
| 873 | DTI TBSS L1 Fornix | GCST90384433 | 7.25 |
| 874 | aparc-a2009s lh thickness S-postcentral | GCST90003669 | 7.22 |
| 875 | Kidney volume | GCST90016670 | 7.20 |
| 876 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 78) | GCST90320897 | 7.18 |
| 877 | Right-hemisphere visual network to pallidum white-matter structural connectivity | GCST90302784 | 7.18 |
| 878 | IDP dMRI ProbtrackX MO atr r | GCST90004003 | 7.15 |
| 879 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 102) | GCST90320665 | 7.15 |
| 880 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 31) | GCST90320850 | 7.14 |
| 881 | COL1A1 levels | GCST90468813 | 7.13 |
| 882 | AXL/MSR1 ratio | GCST90313422 | 7.13 |
| 883 | FST levels | GCST90469273 | 7.12 |
| 884 | ALKBH3 levels | GCST90619095 | 7.12 |
| 885 | COL6A3 levels | GCST90468821 | 7.12 |
| 886 | DLK1/RGMB ratio | GCST90314493 | 7.10 |
| 887 | Coronary artery plaque burden | GCST90503075 | 7.09 |
| 888 | Other diseases of intestines | FING00001001 | 7.08 |
| 889 | Anterior thigh muscle fat infiltration percentage | GCST90267351 | 7.08 |
| 890 | Leg fat-free mass (left) | Impedance measures | UKBB00000393 | 7.06 |
| 891 | Systolic blood pressure | GCST90472782 | 7.04 |
| 892 | RBP5 levels | GCST90470439 | 7.04 |
| 893 | Offspring birth weight | GCST005314 | 7.03 |
| 894 | IDP dMRI ProbtrackX MD ilf r | GCST90004234 | 7.02 |
| 895 | PON1 levels | GCST90470285 | 7.02 |
| 896 | IDP dMRI TBSS L3 Superior fronto-occipital fasciculus R | GCST90004213 | 7.02 |
| 897 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T38 | ECGU000038 | 7.02 |
| 898 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 36) | GCST90320599 | 7.02 |
| 899 | IDP dMRI TBSS L1 External capsule R | GCST90004107 | 7.01 |
| 900 | Serine levels | GCST90200415 | 7.00 |
| 901 | Docosahexaenoic acid to total fatty acids percentage (UKB data field 23457) | GCST90269554 | 6.99 |
| 902 | S100A12 levels | GCST90470513 | 6.98 |
| 903 | LILRB4 levels | GCST90426708 | 6.93 |
| 904 | FST/FSTL3 ratio | GCST90314882 | 6.92 |
| 905 | MYOC/NOTCH3 ratio | GCST90315507 | 6.92 |
| 906 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 6) | GCST90320569 | 6.92 |
| 907 | Heart attack | GCST90475211 | 6.91 |
| 908 | 1-margaroyl-2-linoleoyl-GPC (17:0/18:2) metabolite level | GCST90616013 | 6.88 |
| 909 | BCAN/MOG ratio | GCST90313480 | 6.87 |
| 910 | CD40LG/TNFSF14 ratio | GCST90313827 | 6.87 |
| 911 | Acute appendicitis, no complications | FING00000018 | 6.86 |
| 912 | Leg predicted mass (left) | Impedance measures | UKBB00000396 | 6.85 |
| 913 | DDR1 levels | GCST90468970 | 6.84 |
| 914 | Polyp of the female genital tract | FING00001190 | 6.83 |
| 915 | IDP dMRI TBSS L2 Middle cerebellar peduncle | GCST90004123 | 6.82 |
| 916 | Deep bite | FING00000380 | 6.81 |
| 917 | Retinoschisis and retinal cysts (PheCode 361.2) | GCST90475846 | 6.81 |
| 918 | Vascular/heart problems diagnosed by doctor - Angina | Medical conditions | UKBB00000896 | 6.80 |
| 919 | Nonalcoholic fatty liver disease | GCST90054782 | 6.80 |
| 920 | Angina pectoris | FING00000086 | 6.79 |
| 921 | ERBB2 levels | GCST90469139 | 6.79 |
| 922 | NXPH3 levels | GCST90470112 | 6.77 |
| 923 | aparc-a2009s rh volume G-front-inf-Triangul | GCST90003012 | 6.76 |
| 924 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T26 | ECGU000026 | 6.75 |
| 925 | Blood cell traits latent factor 20 (red cell) | GCST90559262 | 6.75 |
| 926 | Right-hemisphere somatomotor network to thalamus white-matter structural connectivity | GCST90302794 | 6.75 |
| 927 | Ganglion and cyst of synovium, tendon, and bursa (PheCode 727.4) | GCST90476243 | 6.74 |
| 928 | Operation code - wisdom teeth surgery | Operations | UKBB00000569 | 6.74 |
| 929 | F7/VASN ratio | GCST90314745 | 6.73 |
| 930 | CD59/CST6 ratio | GCST90313857 | 6.73 |
| 931 | TNN levels | GCST90470927 | 6.73 |
| 932 | Other abnormal uterine and vaginal bleeding | FING00000919 | 6.73 |
| 933 | Heart rate variability (corrected standard deviation of normal-to-normal intervals) | GCST90281266 | 6.72 |
| 934 | Lung function (FVC) | GCST90025998 | 6.72 |
| 935 | Frequency of heavy DIY in last 4 weeks | Physical activity | UKBB00000263 | 6.72 |
| 936 | CR2/TNFRSF13B ratio | GCST90314225 | 6.72 |
| 937 | FGF19 levels | GCST90469220 | 6.72 |
| 938 | GPA33 levels | GCST90469385 | 6.71 |
| 939 | RGMB/SMOC2 ratio | GCST90315770 | 6.70 |
| 940 | Non-cancer illness code, self-reported - migraine | Medical conditions | UKBB00000520 | 6.70 |
| 941 | IDP dMRI TBSS L3 Sagittal stratum L | GCST90004202 | 6.68 |
| 942 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T184 | ECGU000184 | 6.68 |
| 943 | Follicular cysts of skin and subcutaneous tissue | FING00000547 | 6.66 |
| 944 | IDP dMRI TBSS MD Retrolenticular part of internal capsule R | GCST90004047 | 6.64 |
| 945 | IDP dMRI ProbtrackX L2 fmi | GCST90004284 | 6.64 |
| 946 | aseg global intensity 4th-Ventricle | GCST90003752 | 6.63 |
| 947 | SLC39A5 levels | GCST90470661 | 6.63 |
| 948 | Other disorders of eyelid | FING00001026 | 6.63 |
| 949 | Chronic hepatitis B infection | GCST90018584 | 6.62 |
| 950 | IDP dMRI ProbtrackX FA ifo r | GCST90003938 | 6.62 |
| 951 | IDP dMRI TBSS L2 Retrolenticular part of internal capsule L | GCST90004144 | 6.61 |
| 952 | Total protein levels | GCST90025995 | 6.60 |
| 953 | Falls/tendency to fall | FING00000530 | 6.59 |
| 954 | Endometriosis ASRM stages 3,4 | FING00000498 | 6.59 |
| 955 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 118) | GCST90320937 | 6.59 |
| 956 | Snoring | GCST009763 | 6.58 |
| 957 | Hip fracture | GCST90161240 | 6.58 |
| 958 | IDP dMRI TBSS L2 Cerebral peduncle R | GCST90004137 | 6.58 |
| 959 | IDP dMRI TBSS OD Superior fronto-occipital fasciculus L | GCST90004445 | 6.56 |
| 960 | Gonarthrosis [arthrosis of knee] | Arthrosis | UKBB00000290 | 6.55 |
| 961 | Whole body fat free mass (UKB data field 23101) | GCST90428120 | 6.54 |
| 962 | IDP T1 FIRST left putamen volume | GCST90002440 | 6.54 |
| 963 | Age-related macular degeneration | GCST90086111 | 6.54 |
| 964 | LTBR levels | GCST90243176 | 6.53 |
| 965 | wg lh intensity-contrast caudalmiddlefrontal | GCST90003795 | 6.53 |
| 966 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T25 | ECGU000025 | 6.53 |
| 967 | NHLRC3 levels | GCST90470046 | 6.52 |
| 968 | IDP dMRI ProbtrackX MD fmi | GCST90004230 | 6.52 |
| 969 | aparc-DKTatlas rh volume parstriangularis | GCST90002911 | 6.52 |
| 970 | Osteoarthritis | GCST90468144 | 6.49 |
| 971 | Fracture of lower leg, including ankle | FING00000555 | 6.49 |
| 972 | aparc-Desikan lh thickness precentral | GCST90003468 | 6.48 |
| 973 | ITGBL1 levels | GCST90469648 | 6.46 |
| 974 | Cholesteryl ester (16:2) levels | GCST90024628 | 6.46 |
| 975 | IDP dMRI TBSS MD Sagittal stratum L | GCST90004058 | 6.45 |
| 976 | Lysoalkylphosphatidylcholine (O-22:1) levels | GCST90024196 | 6.45 |
| 977 | DTI autoptx FA fmi tract | GCST90385123 | 6.44 |
| 978 | Hydrocele | FING00000627 | 6.44 |
| 979 | IDP T2 FLAIR BIANCA WMH volume | GCST90003862 | 6.41 |
| 980 | FEV1 | GCST007432 | 6.41 |
| 981 | Left-hemisphere limbic network to thalamus white-matter structural connectivity | GCST90302736 | 6.40 |
| 982 | ADGRG2 levels | GCST90468241 | 6.40 |
| 983 | IDP dMRI ProbtrackX L2 fma | GCST90004283 | 6.40 |
| 984 | Coronary atherosclerosis | FING00000359 | 6.39 |
| 985 | Disorders of breast | FING00000437 | 6.39 |
| 986 | Hereditary deficiency of other clotting factors | FING00000612 | 6.39 |
| 987 | Lysoalkylphosphatidylcholine (O-24:0) levels | GCST90024197 | 6.39 |
| 988 | LTBP2/MYOC ratio | GCST90315337 | 6.39 |
| 989 | GDNF levels | GCST90469323 | 6.38 |
| 990 | Skin sebum (glabella) | GCST90502797 | 6.37 |
| 991 | Hair/balding pattern: Pattern 1 (UKB data field 2395_1) | GCST90043616 | 6.36 |
| 992 | Osteoporosis | GCST90468145 | 6.36 |
| 993 | Pulse wave Arterial Stiffness index | Arterial stiffness | UKBB00000724 | 6.36 |
| 994 | Left ventricular end systole anterolateral wall thickness | GCST90278511 | 6.35 |
| 995 | Lung cancer | GCST90011812 | 6.35 |
| 996 | Atherosclerosis of native arteries of the extremities with intermittent claudication (PheCode 440.22) | GCST90475991 | 6.35 |
| 997 | DTI TBSS L1 External capsule R | GCST90384460 | 6.34 |
| 998 | Benign neoplasm: Colon, unspecified | FING00000172 | 6.33 |
| 999 | Coronary artery calcification | GCST90503074 | 6.33 |
| 1000 | Citrate levels | GCST90243442 | 6.32 |