| 1 | Hallux valgus (acquired) | FING00000601 | 122.27 |
| 2 | Inguinal hernia | FING00000681 | 92.66 |
| 3 | Hip index | GCST012229 | 77.94 |
| 4 | CBLN4 levels | GCST90468554 | 73.79 |
| 5 | Abdominal hernia | digestive | UKBB00000002 | 73.35 |
| 6 | Operative procedures - Primary repair of inguinal hernia using insert of prosthetic material | Summary Operations | UKBB00000587 | 72.45 |
| 7 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 42) | GCST90320605 | 72.39 |
| 8 | Hernia | FING00000616 | 70.93 |
| 9 | Osteoporosis, osteopenia and pathological fracture (PheCode 743) | GCST90476258 | 69.40 |
| 10 | Intraocular pressure (confirmatory factor analysis Factor 26) | GCST90309360 | 68.95 |
| 11 | Inguinal hernia | digestive | UKBB00000362 | 68.60 |
| 12 | Intra-ocular pressure, Goldmann-correlated (left) | Intraocular pressure | UKBB00000376 | 68.16 |
| 13 | Inguinal hernia | Hernia | UKBB00000363 | 67.70 |
| 14 | Hip width to body height ratio | GCST90270260 | 63.07 |
| 15 | A body shape index | GCST90020024 | 62.54 |
| 16 | Waist circumference adjusted for body mass index | GCST90020029 | 61.37 |
| 17 | Oblique pelvic inlet length | GCST90448909 | 59.37 |
| 18 | Abdominal hernia (PheCode 550) | GCST90476059 | 59.12 |
| 19 | Intra-ocular pressure, Goldmann-correlated (right) | Intraocular pressure | UKBB00000377 | 58.53 |
| 20 | Prescriptions - latanoprost | prostaglandin analog | UKBB00000686 | 58.11 |
| 21 | Heel Broadband ultrasound attenuation, direct entry | Bone-densitometry of heel | UKBB00000321 | 57.88 |
| 22 | Waist-hip index | GCST90020027 | 57.31 |
| 23 | Waist-to-hip ratio adjusted for BMI | GCST90020025 | 56.30 |
| 24 | ROBO2 levels | GCST90470490 | 54.08 |
| 25 | HSPG2/IGFBP6 ratio | GCST90315091 | 52.77 |
| 26 | Heel bone mineral density (BMD) (left) | Bone-densitometry of heel | UKBB00000313 | 52.13 |
| 27 | Gout (PheCode 274.1) | GCST90043662 | 51.63 |
| 28 | Carpal tunnel syndrome | FING00000257 | 51.61 |
| 29 | Heel quantitative ultrasound index (QUI), direct entry (right) | Bone-densitometry of heel | UKBB00000323 | 51.58 |
| 30 | Heel bone mineral density (BMD) T-score, automated (right) | Bone-densitometry of heel | UKBB00000317 | 51.56 |
| 31 | Autorefraction - 6mm strong meridian (left) | Eyesight | UKBB00000075 | 51.33 |
| 32 | VNN2 levels | GCST90618510 | 51.23 |
| 33 | Autorefraction - 6mm weak meridian (left) | Eyesight | UKBB00000079 | 50.93 |
| 34 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 90) | GCST90320909 | 50.70 |
| 35 | Dupuytren's disease | GCST90301252 | 50.40 |
| 36 | Bone density (confirmatory factor analysis Factor 19) | GCST90309353 | 50.34 |
| 37 | Waist-hip index | GCST012228 | 50.27 |
| 38 | Prescriptions - prostaglandin analog | UKBB00000697 | 49.87 |
| 39 | Heel bone mineral density (BMD) (right) | Bone-densitometry of heel | UKBB00000314 | 49.80 |
| 40 | Heel quantitative ultrasound index (QUI), direct entry (left) | Bone-densitometry of heel | UKBB00000322 | 49.78 |
| 41 | Heel bone mineral density (BMD) T-score, automated (left) | Bone-densitometry of heel | UKBB00000316 | 49.78 |
| 42 | Waist-to-hip ratio adjusted for BMI | GCST012230 | 48.72 |
| 43 | Osteoporosis NOS (PheCode 743.11) | GCST90476260 | 48.21 |
| 44 | Autorefraction - 6mm asymmetry index (right) | Eyesight | UKBB00000074 | 47.81 |
| 45 | EGFR/FAP ratio | GCST90314613 | 47.20 |
| 46 | Eye conditions (confirmatory factor analysis Factor 25) | GCST90309359 | 46.57 |
| 47 | Ankle spacing width | Bone-densitometry of heel | UKBB00000035 | 46.55 |
| 48 | Operation code - inguinal/femoral hernia repair | Operations | UKBB00000561 | 45.98 |
| 49 | TNXB levels | GCST90470930 | 45.50 |
| 50 | Corneal resistance factor | GCST90100568 | 45.46 |
| 51 | Subclinical hyperthyroidism in pregnancy | GCST90435199 | 45.17 |
| 52 | Pelvic organ prolapse | GCST90102470 | 45.13 |
| 53 | Waist circumference adjusted for body mass index | GCST90302892 | 44.93 |
| 54 | Osteoporosis (PheCode 743.1) | GCST90476259 | 44.86 |
| 55 | Dermatochalasis (PheCode 374.6) | GCST90475894 | 44.23 |
| 56 | Hip index | GCST90020026 | 44.16 |
| 57 | Impedance of arm right (UKB data field 23109) | GCST90468172 | 43.99 |
| 58 | Impedance of arm left (UKB data field 23110) | GCST90468171 | 43.98 |
| 59 | COL6A3/CST3 ratio | GCST90314174 | 43.54 |
| 60 | Waist-to-Hip ratio | Body measurement | UKBB00000905 | 43.54 |
| 61 | Heel broadband ultrasound attenuation (left) | Bone-densitometry of heel | UKBB00000319 | 43.08 |
| 62 | Autorefraction - 3mm weak meridian (left) | Eyesight | UKBB00000069 | 42.52 |
| 63 | Heel quantitative ultrasound index (QUI), direct entry | Bone-densitometry of heel | UKBB00000324 | 41.60 |
| 64 | Heel bone mineral density (BMD) T-score, automated | Bone-densitometry of heel | UKBB00000318 | 41.60 |
| 65 | Heel bone mineral density (BMD) | Bone-densitometry of heel | UKBB00000315 | 41.48 |
| 66 | Pulse pressure | GCST90301703 | 41.18 |
| 67 | Ventral hernia (PheCode 550.5) | GCST90476063 | 40.99 |
| 68 | QC T1 inverse SNR | GCST90006348 | 40.60 |
| 69 | Fracture of forearm | GCST90281273 | 40.39 |
| 70 | Open-angle glaucoma (PheCode 365.1) | GCST90475872 | 40.36 |
| 71 | ROBO2/SCARF2 ratio | GCST90315784 | 40.28 |
| 72 | Phenylalanine levels | GCST90243407 | 40.03 |
| 73 | Inguinal hernia (PheCode 550.1) | GCST90476060 | 39.90 |
| 74 | Autorefraction - 3mm weak meridian (right) | Eyesight | UKBB00000070 | 39.80 |
| 75 | Corneal resistance factor (left) | Intraocular pressure | UKBB00000150 | 39.75 |
| 76 | Autorefraction - 3mm strong meridian (left) | Eyesight | UKBB00000065 | 39.12 |
| 77 | Forced expiratory volume in 1-second (FEV1), predicted | Spirometry | UKBB00000252 | 38.72 |
| 78 | IGFBP6/SMOC2 ratio | GCST90315138 | 38.37 |
| 79 | Corneal hysteresis (left) | Intraocular pressure | UKBB00000148 | 37.92 |
| 80 | Diaphragmatic hernia (PheCode 550.2) | GCST90476061 | 37.91 |
| 81 | Ribothymidine levels in chronic kidney disease | GCST90257554 | 37.74 |
| 82 | Heel bone mineral density | GCST006288 | 37.59 |
| 83 | Autorefraction - 6mm weak meridian (right) | Eyesight | UKBB00000080 | 37.47 |
| 84 | Autorefraction - 3mm strong meridian (right) | Eyesight | UKBB00000066 | 37.41 |
| 85 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 68) | GCST90320887 | 37.36 |
| 86 | Central corneal thickness | GCST006366 | 37.27 |
| 87 | Impedance of arm (right) | Impedance measures | UKBB00000357 | 37.10 |
| 88 | Retinal breaks without detachment | FING00001258 | 36.98 |
| 89 | Corneal resistance factor (right) | Intraocular pressure | UKBB00000151 | 36.79 |
| 90 | Heel broadband ultrasound attenuation (right) | Bone-densitometry of heel | UKBB00000320 | 36.61 |
| 91 | Pulse pressure | GCST90472785 | 36.26 |
| 92 | Iliac isthmus breadth | GCST90448907 | 36.02 |
| 93 | Impedance of arm (left) | Impedance measures | UKBB00000356 | 35.95 |
| 94 | Glaucoma | GCST90475869 | 35.70 |
| 95 | IDP T1 FAST ROIs R occ pole | GCST90002546 | 35.63 |
| 96 | Lung function (FVC) | GCST007429 | 35.55 |
| 97 | Pulse pressure | GCST90301701 | 35.50 |
| 98 | Corneal resistance factor | GCST90308682 | 35.44 |
| 99 | Corneal hysteresis (right) | Intraocular pressure | UKBB00000149 | 35.39 |
| 100 | aparc-DKTatlas rh area inferiorparietal | GCST90003271 | 35.36 |
| 101 | Diaphragmatic hernia | FING00000419 | 35.34 |
| 102 | Primary open-angle glaucoma, strict | FING00001214 | 35.27 |
| 103 | COL6A3/SMOC2 ratio | GCST90314178 | 34.91 |
| 104 | FAP levels | GCST90469189 | 34.53 |
| 105 | Autorefraction - 6mm strong meridian (right) | Eyesight | UKBB00000076 | 34.08 |
| 106 | CTSD/PRCP ratio | GCST90314312 | 33.91 |
| 107 | aseg global volume-ratio BrainSegVol-to-eTIV | GCST90002612 | 33.46 |
| 108 | IDP dMRI ProbtrackX MO str r | GCST90004024 | 33.34 |
| 109 | Hallux valgus (Bunion) (PheCode 735.3) | GCST90476251 | 33.29 |
| 110 | C21orf58 levels | GCST90618380 | 33.06 |
| 111 | PSPN levels | GCST90470364 | 33.05 |
| 112 | BA-exvivo lh area entorhinal | GCST90003220 | 33.04 |
| 113 | Female genital prolapse | FING00000535 | 33.03 |
| 114 | COL6A3/COLEC12 ratio | GCST90314173 | 32.40 |
| 115 | Haemorrhoids and perianal venous thrombosis | FING00000599 | 31.65 |
| 116 | TNC levels | GCST90470895 | 31.59 |
| 117 | FGR levels | GCST90469236 | 31.58 |
| 118 | COL4A1 levels | GCST90468818 | 31.24 |
| 119 | Pelvic inlet width | GCST90448910 | 31.05 |
| 120 | Maximum carotid IMT (intima-medial thickness) at 240 degrees | Carotid ultrasound | UKBB00000429 | 31.01 |
| 121 | DLK1/FAP ratio | GCST90314491 | 30.84 |
| 122 | Impedance of whole body (UKB data field 23106) | GCST90468173 | 30.82 |
| 123 | Glaucoma suspect | FING00000579 | 30.77 |
| 124 | Umbilical hernia (PheCode 550.4) | GCST90476062 | 30.61 |
| 125 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 24) | GCST90320587 | 30.57 |
| 126 | REST UKBBICA NET100 1287 | GCST90387141 | 30.51 |
| 127 | SCARA5 levels | GCST90470533 | 30.47 |
| 128 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T5 | ECGU000005 | 30.37 |
| 129 | Tibia length to body height ratio | GCST90270258 | 30.09 |
| 130 | aparc-Desikan rh area inferiorparietal | GCST90003114 | 30.07 |
| 131 | Takes medication for Macular Degeneration? | GCST90475387 | 30.03 |
| 132 | VCAN levels | GCST90471032 | 29.89 |
| 133 | Kyphosis (MTAG) | GCST90570047 | 29.80 |
| 134 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T4 | ECGU000004 | 29.47 |
| 135 | Subpubic angle | GCST90448908 | 29.41 |
| 136 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 82) | GCST90320645 | 29.36 |
| 137 | ZNRF4 levels | GCST90471104 | 29.28 |
| 138 | Appendicular lean mass | GCST90000027 | 29.18 |
| 139 | Intraocular pressure | GCST004074 | 29.13 |
| 140 | Sitting height | Body size measures | UKBB00000771 | 29.12 |
| 141 | BOC levels | GCST90468458 | 29.10 |
| 142 | Hip circumference adjusted for BMI | GCST90020028 | 29.08 |
| 143 | Umbilical hernia | digestive | UKBB00000880 | 29.04 |
| 144 | Alzheimer's disease (MTAG) | GCST90449055 | 28.96 |
| 145 | IDP dMRI ProbtrackX L3 unc l | GCST90004325 | 28.85 |
| 146 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T3 | ECGU000003 | 28.71 |
| 147 | Macular degeneration | GCST90475386 | 28.60 |
| 148 | ENG levels | GCST90469108 | 28.56 |
| 149 | Umbilical hernia | Hernia | UKBB00000881 | 28.45 |
| 150 | Glaucoma (multi-trait analysis) | GCST009722 | 28.28 |
| 151 | Height | GCST90018739 | 28.24 |
| 152 | Scoliosis | FING00001281 | 28.24 |
| 153 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T8 | ECGU000008 | 28.08 |
| 154 | Waist-to-hip ratio adjusted for BMI | GCST90025996 | 27.97 |
| 155 | RET levels | GCST90470458 | 27.78 |
| 156 | Autorefraction - 3mm strong meridian angle (left) | Eyesight | UKBB00000067 | 27.78 |
| 157 | Height | GCST90278637 | 27.60 |
| 158 | DTI autoptx FA str r tract | GCST90385136 | 27.56 |
| 159 | Haemorrhoidal disease | GCST90014033 | 27.42 |
| 160 | Female genital prolapse | Noninflammatory disorders of female genital tract | UKBB00000244 | 27.38 |
| 161 | Pulse pressure | GCST90301702 | 27.37 |
| 162 | Progressive vascular leukoencephalopathy | FING00001218 | 27.37 |
| 163 | CLMP/PIK3IP1 ratio | GCST90314134 | 27.24 |
| 164 | Fracture of forearm | FING00000554 | 27.04 |
| 165 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 57) | GCST90320620 | 26.83 |
| 166 | Autorefraction - 6mm asymmetry index (left) | Eyesight | UKBB00000073 | 26.79 |
| 167 | Pulse pressure, automated reading | Cardiovascular measurement | UKBB00000714 | 26.78 |
| 168 | Other mental disorders due to brain damage and dysfunction and to physical disease | FING00001072 | 26.74 |
| 169 | Macular degeneration, wet (PheCode 362.22) | GCST90475852 | 26.33 |
| 170 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T9 | ECGU000009 | 26.10 |
| 171 | Blood cell traits latent factor 21 (red cell) | GCST90559263 | 26.06 |
| 172 | SRPX levels | GCST90470744 | 25.93 |
| 173 | BA-exvivo lh volume entorhinal | GCST90002848 | 25.90 |
| 174 | Seated height | Body size measures | UKBB00000763 | 25.80 |
| 175 | Pulse pressure, automated reading | Cardiovascular measurement | UKBB00000715 | 25.74 |
| 176 | Macular degeneration (senile) of retina NOS (PheCode 362.29) | GCST90475857 | 25.71 |
| 177 | Impedance of whole body | Impedance measures | UKBB00000360 | 25.70 |
| 178 | Pulse pressure | GCST90472783 | 25.59 |
| 179 | Descending aorta diameter | GCST90267391 | 25.36 |
| 180 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 91) | GCST90320654 | 25.33 |
| 181 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T6 | ECGU000006 | 25.16 |
| 182 | TNC/VCAM1 ratio | GCST90315927 | 25.14 |
| 183 | Intestinal infectious diseases | FING00000689 | 25.13 |
| 184 | IDP dMRI TBSS L1 External capsule L | GCST90004108 | 25.06 |
| 185 | Diverticular disease of intestine | Other diseases of intestines | UKBB00000189 | 25.03 |
| 186 | IDP dMRI TBSS OD Fornix | GCST90004407 | 24.99 |
| 187 | Pulse pressure, combined automated + manual reading | Cardiovascular measurement | UKBB00000718 | 24.96 |
| 188 | EGFR levels | GCST90469085 | 24.95 |
| 189 | Waist circumference adjusted for body mass index | GCST012226 | 24.94 |
| 190 | Glaucoma (primary open-angle) | GCST90399725 | 24.82 |
| 191 | Impedance of leg (left) | Impedance measures | UKBB00000358 | 24.81 |
| 192 | Treatment speciality of consultant (recoded) - Ophthalmology | Summary Administration | UKBB00000835 | 24.81 |
| 193 | CD200R1 levels | GCST90468605 | 24.72 |
| 194 | Impedance of leg (right) | Impedance measures | UKBB00000359 | 24.68 |
| 195 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 77) | GCST90320896 | 24.62 |
| 196 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T2 | ECGU000002 | 24.57 |
| 197 | Pelvic height | GCST90448912 | 24.54 |
| 198 | Hip circumference adjusted for BMI | GCST012227 | 24.54 |
| 199 | aparc-a2009s lh volume G-precentral | GCST90002953 | 24.53 |
| 200 | Appendicular lean mass | GCST90000026 | 24.52 |
| 201 | IDP T1 FAST ROIs V cerebellum VIIIa | GCST90002579 | 24.44 |
| 202 | Femur length to body height ratio | GCST90270256 | 24.43 |
| 203 | Forced vital capacity (FVC) | Spirometry | UKBB00000254 | 24.43 |
| 204 | BCAN/DPP6 ratio | GCST90313478 | 24.42 |
| 205 | Appendicular lean mass | GCST90000025 | 24.40 |
| 206 | Pulse pressure, combined automated + manual reading | Cardiovascular measurement | UKBB00000719 | 24.37 |
| 207 | IDP dMRI ProbtrackX MD unc l | GCST90004244 | 24.26 |
| 208 | Coronary artery calcification | GCST90278456 | 24.08 |
| 209 | CNTN1 levels | GCST90468803 | 24.07 |
| 210 | Barrett's esophagus (PheCode 530.13) | GCST90476048 | 23.93 |
| 211 | height (minimum, inv-normal transformed) | GCST90475365 | 23.86 |
| 212 | height (mean, inv-normal transformed) | GCST90475362 | 23.77 |
| 213 | IDP dMRI TBSS MD External capsule L | GCST90004060 | 23.73 |
| 214 | Height (maximum, inv-normal transformed) | GCST90475359 | 23.70 |
| 215 | Diverticulosis and diverticulitis (PheCode 562) | GCST90476073 | 23.69 |
| 216 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 37) | GCST90320856 | 23.56 |
| 217 | Forced vital capacity FVC Z score (UKB data field 20257) | GCST90468167 | 23.54 |
| 218 | Disorders of muscle, ligament, and fascia | musculoskeletal | UKBB00000187 | 23.53 |
| 219 | CDON/SCARA5 ratio | GCST90313995 | 23.52 |
| 220 | Prolapse of vaginal walls | genitourinary | UKBB00000712 | 23.52 |
| 221 | Age-related eyesight deterioration (confirmatory factor analysis Factor 27) | GCST90309361 | 23.45 |
| 222 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T7 | ECGU000007 | 23.44 |
| 223 | Pulse pressure | GCST90310296 | 23.44 |
| 224 | HSPG2/SMOC2 ratio | GCST90315093 | 23.32 |
| 225 | Primary open angle glaucoma (PheCode 365.11) | GCST90475875 | 23.29 |
| 226 | Fractures | GCST006980 | 23.27 |
| 227 | Diverticulosis and diverticulitis | digestive | UKBB00000191 | 23.25 |
| 228 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 127) | GCST90320690 | 23.16 |
| 229 | Volume of right accessory basal nucleus | GCST90475006 | 23.11 |
| 230 | Diverticulosis | digestive | UKBB00000190 | 23.05 |
| 231 | Maximum indexed left atrial volume | GCST90019012 | 22.96 |
| 232 | Ankle spacing width (right) | Bone-densitometry of heel | UKBB00000034 | 22.84 |
| 233 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 123) | GCST90320686 | 22.82 |
| 234 | aparc-a2009s rh volume S-central | GCST90003043 | 22.74 |
| 235 | Use of antiglaucoma preparations and miotics | FING00001409 | 22.60 |
| 236 | Autorefraction - 6mm strong meridian angle (right) | Eyesight | UKBB00000078 | 22.51 |
| 237 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 54) | GCST90320873 | 22.42 |
| 238 | IDP dMRI ProbtrackX L3 unc r | GCST90004326 | 22.26 |
| 239 | BPIFB1/GLRX ratio | GCST90313530 | 22.24 |
| 240 | Forearm length to body height ratio | GCST90270257 | 22.17 |
| 241 | EIF4G1/TBC1D23 ratio | GCST90314639 | 22.12 |
| 242 | Contracture of palmar fascia [Dupuytren's disease] | musculoskeletal | UKBB00000146 | 22.01 |
| 243 | Genital prolapse | genitourinary | UKBB00000282 | 22.00 |
| 244 | Deforming dorsopathies | FING00000385 | 21.96 |
| 245 | COMP/MYOC ratio | GCST90314191 | 21.93 |
| 246 | Pelvic width | GCST90448911 | 21.76 |
| 247 | Standing height | Body size measures | UKBB00000796 | 21.75 |
| 248 | Keloid | GCST90652488 | 21.67 |
| 249 | Hand grip strength right (UKB data field 47) | GCST90468169 | 21.52 |
| 250 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 59) | GCST90320878 | 21.49 |
| 251 | Diverticulosis (PheCode 562.1) | GCST90476076 | 21.42 |
| 252 | SLITRK6 levels | GCST90470671 | 21.33 |
| 253 | Volume of left paralaminar nucleus | GCST90474982 | 21.18 |
| 254 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 41) | GCST90320604 | 21.14 |
| 255 | Palmar fascial fibromatosis [Dupuytren] | FING00001141 | 21.10 |
| 256 | Free testosterone levels | GCST90239826 | 21.07 |
| 257 | aparc-a2009s lh volume S-central | GCST90002969 | 21.01 |
| 258 | PILRA/TNFRSF1A ratio | GCST90315655 | 20.97 |
| 259 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 45) | GCST90320608 | 20.94 |
| 260 | Height | GCST90302890 | 20.94 |
| 261 | aparc-a2009s lh area S-collat-transv-ant | GCST90003346 | 20.87 |
| 262 | Intra-ocular pressure, corneal-compensated (left) | Intraocular pressure | UKBB00000374 | 20.85 |
| 263 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 126) | GCST90320689 | 20.85 |
| 264 | BA-exvivo lh volume BA3a | GCST90002837 | 20.80 |
| 265 | ICD10 N81: Female genital prolapse | GCST90454214 | 20.78 |
| 266 | Bone density T-score | GCST90278620 | 20.62 |
| 267 | Fractured/broken bones in last 5 years | Medical conditions | UKBB00000258 | 20.55 |
| 268 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 26) | GCST90320845 | 20.48 |
| 269 | C7 levels | GCST90422332 | 20.46 |
| 270 | What is your height? (cm, inv-normal transformed) | GCST90475368 | 20.30 |
| 271 | A body shape index | GCST012231 | 20.21 |
| 272 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T1 | ECGU000001 | 20.09 |
| 273 | COL6A3/OGN ratio | GCST90314177 | 20.04 |
| 274 | Depression/anxiety (weighted GWA) | GCST90267277 | 19.93 |
| 275 | Operative procedures - Insertion of prosthetic replacement for lens NEC | Summary Operations | UKBB00000583 | 19.93 |
| 276 | Perforation of tympanic membrane | FING00001155 | 19.82 |
| 277 | aseg global volume EstimatedTotalIntraCranial | GCST90002597 | 19.78 |
| 278 | Volume of right cortico-amygdaloid transition area | GCST90475018 | 19.75 |
| 279 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 115) | GCST90320678 | 19.72 |
| 280 | BCL2 levels | GCST90468433 | 19.68 |
| 281 | Pulse pressure, automated reading, adjusted by medication | Cardiovascular measurement | UKBB00000716 | 19.65 |
| 282 | MATN2 levels | GCST90469864 | 19.62 |
| 283 | IDP dMRI TBSS L1 Fornix | GCST90004080 | 19.55 |
| 284 | Fibroblastic disorders | Other soft tissue disorders | UKBB00000246 | 19.55 |
| 285 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 64) | GCST90320883 | 19.55 |
| 286 | Diaphragmatic hernia | digestive | UKBB00000171 | 19.55 |
| 287 | aparc-pial rh area inferiorparietal | GCST90003181 | 19.53 |
| 288 | Pulse pressure, automated reading, adjusted by medication | Cardiovascular measurement | UKBB00000717 | 19.36 |
| 289 | Mean volume of bilateral amygdala | GCST90474994 | 19.30 |
| 290 | Ankle spacing width (left) | Bone-densitometry of heel | UKBB00000033 | 19.29 |
| 291 | MAMDC2 levels | GCST90469841 | 19.18 |
| 292 | Nerve, nerve root and plexus disorders | FING00000862 | 19.12 |
| 293 | Volume of right basal nucleus | GCST90475012 | 19.10 |
| 294 | Other specified and unspecified disorders of lens | FING00001101 | 19.08 |
| 295 | Retinal thickness (functional principal component 2) | GCST90455722 | 19.00 |
| 296 | AOC3 levels | GCST90468322 | 18.97 |
| 297 | Low hand grip strength (60 years and older) (EWGSOP) | GCST90007526 | 18.96 |
| 298 | Operative procedures - Palmar fasciectomy | Summary Operations | UKBB00000586 | 18.94 |
| 299 | Body size (confirmatory factor analysis Factor 21) | GCST90309355 | 18.79 |
| 300 | Hand grip strength left (UKB data field 46) | GCST90468168 | 18.78 |
| 301 | Glaucoma | FING00000577 | 18.77 |
| 302 | T1 FreeSurfer DKT rh fusiform thickness | GCST90384322 | 18.76 |
| 303 | Operation code - haemorroidectomy / piles surgery/ banding of piles | Operations | UKBB00000557 | 18.75 |
| 304 | Pulse pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurement | UKBB00000720 | 18.74 |
| 305 | aseg global volume WM-hypointensities | GCST90002604 | 18.71 |
| 306 | Liver proton density fat fraction | GCST90267352 | 18.63 |
| 307 | ERBB3 levels | GCST90469140 | 18.63 |
| 308 | Bone density Z-score | GCST90278621 | 18.61 |
| 309 | Hand grip strength (right) | Hand grip strength | UKBB00000301 | 18.55 |
| 310 | ST6GALNAC2 levels | GCST90240251 | 18.51 |
| 311 | GSTA4 levels | GCST90241283 | 18.49 |
| 312 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 47) | GCST90320866 | 18.46 |
| 313 | Standing height (UKB data field 50) | GCST90468178 | 18.41 |
| 314 | RFC4 levels | GCST90470460 | 18.37 |
| 315 | EFEMP1/TGFBR3 ratio | GCST90314597 | 18.36 |
| 316 | Myopia (PheCode 367.1) | GCST90475880 | 18.34 |
| 317 | IDP dMRI ProbtrackX L2 unc l | GCST90004298 | 18.34 |
| 318 | Right-hemisphere visual network to right-hemisphere control network white-matter structural connectivity | GCST90302779 | 18.33 |
| 319 | Disorders of choroid and retina | FING00000438 | 18.33 |
| 320 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 76) | GCST90320895 | 18.32 |
| 321 | Cerebrospinal fluid unidentified metabolite levels (HILIC Metabolomics ID: 3.04_132.06) | GCST90291582 | 18.30 |
| 322 | Glaucoma (primary open-angle) | GCST90011768 | 18.28 |
| 323 | Heart rate variability traits (SDNN) | GCST004734 | 18.24 |
| 324 | CCN3/FAP ratio | GCST90313721 | 18.22 |
| 325 | Anterior thigh muscle volume | GCST90267349 | 18.21 |
| 326 | IDP dMRI TBSS L2 Sagittal stratum L | GCST90004154 | 18.15 |
| 327 | Height, inverse-rank normalized | FING00000607 | 18.13 |
| 328 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 41) | GCST90320860 | 18.12 |
| 329 | Pulse pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurement | UKBB00000721 | 18.11 |
| 330 | Glaucoma | GCST90475383 | 18.04 |
| 331 | CDON levels | GCST90468687 | 17.96 |
| 332 | DPP6/SEZ6L ratio | GCST90314544 | 17.89 |
| 333 | aparc-Desikan lh volume precentral | GCST90002791 | 17.84 |
| 334 | Pulse pressure (BMI adjusted) | GCST90335167 | 17.79 |
| 335 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 57) | GCST90320876 | 17.75 |
| 336 | Volume of left basal nucleus | GCST90474946 | 17.73 |
| 337 | Lung cancer | GCST90011812 | 17.69 |
| 338 | FOLH1 levels | GCST90427192 | 17.68 |
| 339 | Comparative height size at age 10 | Early life factors | UKBB00000143 | 17.63 |
| 340 | LTBP2 levels | GCST90469814 | 17.58 |
| 341 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 40) | GCST90320859 | 17.58 |
| 342 | Peritonsillar abscess | FING00001160 | 17.48 |
| 343 | HEG1 levels | GCST90469444 | 17.46 |
| 344 | Takes medication for Glaucoma? | GCST90475384 | 17.41 |
| 345 | CD109 levels | GCST90468597 | 17.39 |
| 346 | IDP dMRI TBSS L3 Fornix | GCST90004176 | 17.37 |
| 347 | Pulse pressure | GCST90472784 | 17.36 |
| 348 | SFRP2 levels | GCST90242727 | 17.23 |
| 349 | BA-exvivo rh volume BA3a | GCST90002851 | 17.22 |
| 350 | Knee extension strength | GCST90319502 | 17.18 |
| 351 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 75) | GCST90320894 | 17.18 |
| 352 | IDP dMRI ProbtrackX MD unc r | GCST90004245 | 17.16 |
| 353 | CD34 levels | GCST90468626 | 17.10 |
| 354 | IDP dMRI ProbtrackX OD str r | GCST90004474 | 17.08 |
| 355 | Biological Sibling: Alzheimer's / Other Dementia | GCST90476375 | 17.07 |
| 356 | diastolic blood pressure (DBP, mean, inv-normal transformed) | GCST90475255 | 16.97 |
| 357 | COL6A3/HSPG2 ratio | GCST90314175 | 16.95 |
| 358 | LGALS3 levels | GCST90469761 | 16.92 |
| 359 | ThalamNuclei rh volume CeM | GCST90002751 | 16.89 |
| 360 | Height (standard GWA) | GCST90267284 | 16.80 |
| 361 | Prescriptions - losartan | angiotensin receptor blocker,anti-hypertensive,ARB | UKBB00000690 | 16.79 |
| 362 | IDP dMRI ProbtrackX FA ilf l | GCST90003939 | 16.74 |
| 363 | Volume of right lateral nucleus | GCST90475034 | 16.73 |
| 364 | FCRL2/TNFRSF13B ratio | GCST90314801 | 16.72 |
| 365 | NCR3 levels | GCST90088179 | 16.69 |
| 366 | CASP1 levels | GCST90468543 | 16.68 |
| 367 | Calcific aortic valve stenosis | GCST90310293 | 16.68 |
| 368 | FST levels | GCST90469273 | 16.63 |
| 369 | IDP dMRI TBSS MD Fornix | GCST90004032 | 16.58 |
| 370 | Height (baseline) | GCST90565843 | 16.56 |
| 371 | BA-exvivo rh volume BA4p | GCST90002854 | 16.54 |
| 372 | OLR1 levels | GCST90012020 | 16.50 |
| 373 | COLEC12/OGN ratio | GCST90314184 | 16.43 |
| 374 | CXCL10/WARS ratio | GCST90314332 | 16.37 |
| 375 | PRTG levels | GCST90470347 | 16.32 |
| 376 | ADGRD1 levels | GCST90468235 | 16.27 |
| 377 | CTSO/IGF2R ratio | GCST90314317 | 16.26 |
| 378 | FUT8/TNFSF14 ratio | GCST90314895 | 16.19 |
| 379 | Calcific aortic valvular stenosis, operated | FING00000234 | 16.19 |
| 380 | Synovitis and tenosynovitis (PheCode 727.1) | GCST90476242 | 16.09 |
| 381 | CST3/TFF3 ratio | GCST90314299 | 16.04 |
| 382 | IGF1 levels | GCST90025989 | 15.96 |
| 383 | Glaucoma | GCST90018632 | 15.92 |
| 384 | aparc-DKTatlas lh volume precentral | GCST90002884 | 15.91 |
| 385 | HSPG2 levels | GCST90179392 | 15.89 |
| 386 | Incisional hernia (PheCode 550.6) | GCST90476064 | 15.81 |
| 387 | IDP T1 FAST ROIs L caudate | GCST90002549 | 15.77 |
| 388 | Sleep apnea (MTAG) (adjusted for BMI) | GCST90267364 | 15.74 |
| 389 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 121) | GCST90320940 | 15.72 |
| 390 | Illnesses of father - Heart disease | Family history | UKBB00000342 | 15.68 |
| 391 | Osteoporosis | musculoskeletal | UKBB00000598 | 15.64 |
| 392 | Urinary ethanolamine to urinary creatinine ratio | GCST90451717 | 15.62 |
| 393 | Glaucoma (primary open-angle) | GCST90011766 | 15.60 |
| 394 | IDP dMRI TBSS L2 Fornix | GCST90004128 | 15.50 |
| 395 | Osteoporosis NOS | musculoskeletal | UKBB00000599 | 15.49 |
| 396 | Mean carotid IMT (intima-medial thickness) at 240 degrees | Carotid ultrasound | UKBB00000446 | 15.48 |
| 397 | aparc-DKTatlas lh area entorhinal | GCST90003238 | 15.41 |
| 398 | Free androgen index | GCST90239824 | 15.41 |
| 399 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 51) | GCST90320614 | 15.33 |
| 400 | DTI autoptx L3 str r tract | GCST90385217 | 15.32 |
| 401 | aparc-a2009s lh thickness G-precuneus | GCST90003632 | 15.31 |
| 402 | ESR1 levels | GCST90469155 | 15.30 |
| 403 | Diaphragmatic hernia | Hernia | UKBB00000172 | 15.25 |
| 404 | Operative procedures - Angiocardiography of left side of heart NEC | Summary Operations | UKBB00000572 | 15.22 |
| 405 | Cerebrospinal fluid 3-hydroxyhexanoate levels | GCST90318108 | 15.16 |
| 406 | ADAMTSL2 levels | GCST90468228 | 15.14 |
| 407 | Undecenoylcarnitine (C11:1) levels | GCST90200236 | 15.07 |
| 408 | Urine glucuronide of C10H18O2 (12)* levels in chronic kidney disease | GCST90265189 | 15.07 |
| 409 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 11) | GCST90320574 | 15.06 |
| 410 | Main speciality of consultant (recoded) - Ophthalmology | Summary Administration | UKBB00000419 | 15.02 |
| 411 | Operation code - carpal tunnel surgery | Operations | UKBB00000553 | 14.97 |
| 412 | Pulse pressure (BMI unadjusted) | GCST90335166 | 14.95 |
| 413 | VWF levels | GCST90471065 | 14.95 |
| 414 | QC rfMRI-to-T1 linear alignment discrepancy | GCST90006353 | 14.94 |
| 415 | Medication use (antithrombotic agents) | GCST90018762 | 14.92 |
| 416 | Fasciitis | musculoskeletal | UKBB00000239 | 14.90 |
| 417 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 39) | GCST90320858 | 14.87 |
| 418 | APOF levels | GCST90468339 | 14.83 |
| 419 | HHIP levels | GCST90617097 | 14.81 |
| 420 | aparc-a2009s rh volume G-front-inf-Triangul | GCST90003012 | 14.72 |
| 421 | DLK1/PIK3IP1 ratio | GCST90314492 | 14.72 |
| 422 | Descending aorta strain | GCST90267389 | 14.68 |
| 423 | CD164/PARK7 ratio | GCST90313743 | 14.64 |
| 424 | DTI autoptx MD unc l tract | GCST90385245 | 14.63 |
| 425 | Intra-ocular pressure, corneal-compensated (right) | Intraocular pressure | UKBB00000375 | 14.56 |
| 426 | aparc-a2009s rh area S-collat-transv-ant | GCST90003420 | 14.53 |
| 427 | CD79B/FCRL2 ratio | GCST90313900 | 14.43 |
| 428 | IDP dMRI TBSS MD Pontine crossing tract | GCST90004028 | 14.43 |
| 429 | IDP dMRI ProbtrackX L1 ptr l | GCST90004265 | 14.42 |
| 430 | Low hand grip strength (60 years and older) (EWGSOP) | GCST90007527 | 14.37 |
| 431 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T10 | ECGU000010 | 14.36 |
| 432 | Valine levels | GCST90243453 | 14.35 |
| 433 | AGRN/HSPG2 ratio | GCST90313201 | 14.35 |
| 434 | Blepharochalasis | FING00000220 | 14.35 |
| 435 | PSAP levels | GCST90426586 | 14.33 |
| 436 | FAP/LRRN1 ratio | GCST90314783 | 14.22 |
| 437 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 101) | GCST90320920 | 14.19 |
| 438 | Phenylacetylcarnitine levels | GCST90199993 | 14.13 |
| 439 | PTPRF/PTPRS ratio | GCST90315751 | 14.10 |
| 440 | DPP4/ITGB1 ratio | GCST90314540 | 14.09 |
| 441 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 114) | GCST90320677 | 14.08 |
| 442 | Aortic aneurysm (PheCode 442.1) | GCST90475993 | 14.04 |
| 443 | Humerus length to body height ratio | GCST90270259 | 14.04 |
| 444 | Aortic aneurysm | FING00000102 | 14.03 |
| 445 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 60) | GCST90320623 | 14.02 |
| 446 | IDP dMRI TBSS L3 External capsule L | GCST90004204 | 14.02 |
| 447 | IDP dMRI ProbtrackX L2 ilf l | GCST90004287 | 13.95 |
| 448 | IDP dMRI ProbtrackX L2 unc r | GCST90004299 | 13.95 |
| 449 | Mean carotid IMT (intima-medial thickness) at 210 degrees | Carotid ultrasound | UKBB00000445 | 13.90 |
| 450 | Other aneurysm (PheCode 442) | GCST90475992 | 13.87 |
| 451 | Operation code - inguinal hernia repair | Operations | UKBB00000560 | 13.81 |
| 452 | DNAJA2/PLXNA4 ratio | GCST90314504 | 13.80 |
| 453 | PLXDC2 levels | GCST90470264 | 13.80 |
| 454 | Cataract | sense organs | UKBB00000120 | 13.76 |
| 455 | QC T1-to-standard nonlinear alignment discrepancy | GCST90006346 | 13.75 |
| 456 | Descending aorta distensibility | GCST90267386 | 13.73 |
| 457 | PATE4 levels | GCST90242405 | 13.70 |
| 458 | Left hippocampal volume (tail) | GCST90267951 | 13.60 |
| 459 | Benign neoplasm: Adrenal gland | FING00000164 | 13.58 |
| 460 | Drusen (degenerative) of retina (PheCode 362.27) | GCST90475855 | 13.57 |
| 461 | IDP dMRI TBSS MD Cingulum cingulate gyrus L | GCST90004062 | 13.55 |
| 462 | COL6A3/TAFA5 ratio | GCST90314180 | 13.53 |
| 463 | Trunk fat percentage | Impedance measures | UKBB00000864 | 13.52 |
| 464 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 122) | GCST90320941 | 13.50 |
| 465 | Macular degeneration, dry (PheCode 362.21) | GCST90475851 | 13.49 |
| 466 | Endometriosis of ovary | FING00000501 | 13.48 |
| 467 | Endometriosis | GCST90018619 | 13.43 |
| 468 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 58) | GCST90320621 | 13.41 |
| 469 | Autorefraction - 3mm cylindrical power (left) | Eyesight | UKBB00000062 | 13.39 |
| 470 | Tetradecadienedioate (C14:2-DC) metabolite level | GCST90616275 | 13.38 |
| 471 | 1-palmitoyl-2-arachidonoyl-gpc (16:0/20:4n6) levels | GCST90200692 | 13.35 |
| 472 | PKD1 levels | GCST90470240 | 13.34 |
| 473 | Serine levels | GCST90200415 | 13.34 |
| 474 | Torso length to body height ratio | GCST90270262 | 13.32 |
| 475 | Hand grip strength (baseline) | GCST90565845 | 13.30 |
| 476 | Anterior thigh muscle fat infiltration percentage | GCST90267351 | 13.29 |
| 477 | TPM2 levels | GCST90243122 | 13.25 |
| 478 | ITGAM/ITGAV ratio | GCST90315209 | 13.23 |
| 479 | PRELP levels | GCST90470321 | 13.22 |
| 480 | SIL1 levels | GCST90470638 | 13.20 |
| 481 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 125) | GCST90320944 | 13.19 |
| 482 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 68) | GCST90320631 | 13.18 |
| 483 | PLXDC1 levels | GCST90470263 | 13.18 |
| 484 | Polyarthrosis | FING00001181 | 13.17 |
| 485 | CHRDL1/SMOC2 ratio | GCST90314062 | 13.17 |
| 486 | Snoring | GCST009761 | 13.16 |
| 487 | Angina pectoris | GCST90018573 | 13.15 |
| 488 | Shoulder width to body height ratio | GCST90270261 | 13.14 |
| 489 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 85) | GCST90320904 | 13.14 |
| 490 | IDP dMRI ProbtrackX FA unc r | GCST90003951 | 13.14 |
| 491 | POSTN levels | GCST90470288 | 13.11 |
| 492 | ADGRB3 levels | GCST90468234 | 13.11 |
| 493 | N-acetyl-2-aminoadipate levels | GCST90200268 | 13.10 |
| 494 | DTI TBSS L3 Retrolenticular part of internal capsule L | GCST90384545 | 13.08 |
| 495 | IDP dMRI TBSS L3 External capsule R | GCST90004203 | 13.02 |
| 496 | ADAMTS8 levels | GCST90468227 | 13.00 |
| 497 | Inguinal hernia, bilateral | FING00000682 | 13.00 |
| 498 | Prescriptions - angiotensin receptor blocker|anti-hypertensive|ARB | UKBB00000662 | 12.95 |
| 499 | HGF/TNFSF14 ratio | GCST90315060 | 12.90 |
| 500 | Phosphatidylcholine_34:2_[M+H]1+/Phosphatidylethanolamine_37:2_[M+H]1+/Phosphatidate_39:3_[M+NH4]1+ levels | GCST90060303 | 12.89 |
| 501 | Diarrhoea and gastroenteritis of presumed infectious origin | FING00000420 | 12.86 |
| 502 | aparc-a2009s lh thickness G-cuneus | GCST90003613 | 12.85 |
| 503 | Minimum carotid IMT (intima-medial thickness) at 210 degrees | Carotid ultrasound | UKBB00000477 | 12.83 |
| 504 | Osteopenia or other disorder of bone and cartilage (PheCode 743.9) | GCST90476261 | 12.81 |
| 505 | IDP dMRI TBSS MO Fornix | GCST90003957 | 12.81 |
| 506 | Ventral hernia | FING00001428 | 12.80 |
| 507 | APP/FKBP1B ratio | GCST90313323 | 12.80 |
| 508 | IDP dMRI TBSS L1 External capsule R | GCST90004107 | 12.78 |
| 509 | Carotid intima-media thickness (MTAG) | GCST90449061 | 12.77 |
| 510 | IDP dMRI TBSS MD Superior fronto-occipital fasciculus R | GCST90004069 | 12.71 |
| 511 | Retinal detachments and defects | sense organs | UKBB00000756 | 12.67 |
| 512 | Hand grip strength (left) | Hand grip strength | UKBB00000300 | 12.62 |
| 513 | wg lh intensity-contrast middletemporal | GCST90003806 | 12.61 |
| 514 | MSMB levels | GCST90469949 | 12.60 |
| 515 | Heart failure and coronary heart disease | FING00000604 | 12.58 |
| 516 | Bioavailable testosterone levels | GCST90012104 | 12.56 |
| 517 | Coronary artery plaque burden | GCST90503075 | 12.56 |
| 518 | Hereditary deficiency of other clotting factors | FING00000612 | 12.55 |
| 519 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 52) | GCST90320871 | 12.54 |
| 520 | Spinal stenosis of lumbar region (PheCode 720.1) | GCST90476234 | 12.48 |
| 521 | Autorefraction - 3mm cylindrical power (right) | Eyesight | UKBB00000063 | 12.45 |
| 522 | Umbilical hernia | FING00001395 | 12.43 |
| 523 | IDP dMRI TBSS MD External capsule R | GCST90004059 | 12.42 |
| 524 | Gestational age at birth (child effect) | GCST90268421 | 12.40 |
| 525 | Corneal opacity and other disorders of cornea (PheCode 364) | GCST90475861 | 12.38 |
| 526 | CREG1/NAAA ratio | GCST90314250 | 12.37 |
| 527 | DPP6/SEZ6L2 ratio | GCST90314543 | 12.36 |
| 528 | Glaucoma | GCST90468129 | 12.36 |
| 529 | O-sulfo-l-tyrosine levels | GCST90243623 | 12.35 |
| 530 | T1 FreeSurfer aseg Left-Inf-Lat-Vent | GCST90384140 | 12.35 |
| 531 | Left ventricular wall thickness (maximal) | GCST90435263 | 12.33 |
| 532 | Volume of right whole amygdala | GCST90475054 | 12.29 |
| 533 | DTI TBSS L3 Superior corona radiata L | GCST90384549 | 12.28 |
| 534 | LILRB4 levels | GCST90426708 | 12.28 |
| 535 | Diacylglycerol_38:5_[M+H-H2O]1+ levels | GCST90060200 | 12.27 |
| 536 | Prescriptions - anti-malarial | UKBB00000663 | 12.27 |
| 537 | Prescriptions - quinine bisulfate | anti-malarial | UKBB00000698 | 12.27 |
| 538 | Other joint disorders | FING00001064 | 12.21 |
| 539 | LEPR/NTRK2 ratio | GCST90315313 | 12.16 |
| 540 | CCN3 levels | GCST90468589 | 12.13 |
| 541 | DTI autoptx L2 str r tract | GCST90385190 | 12.13 |
| 542 | GGH/INHBC ratio | GCST90314928 | 12.13 |
| 543 | IDP dMRI TBSS ISOVF Fornix | GCST90004482 | 12.12 |
| 544 | IDP dMRI ProbtrackX L3 ifo r | GCST90004313 | 12.11 |
| 545 | COMP/DPP4 ratio | GCST90314188 | 12.10 |
| 546 | CD69/CDKN2D ratio | GCST90313866 | 12.09 |
| 547 | PSG1 levels | GCST90470353 | 12.07 |
| 548 | IFNGR1/THBD ratio | GCST90315130 | 12.06 |
| 549 | Maximum carotid IMT (intima-medial thickness) at 210 degrees | Carotid ultrasound | UKBB00000428 | 12.01 |
| 550 | SSC5D levels | GCST90470748 | 11.99 |
| 551 | Fracture of lower leg, including ankle | FING00000555 | 11.99 |
| 552 | Benign neoplasm: Colon, unspecified | FING00000172 | 11.94 |
| 553 | PSME2/RBKS ratio | GCST90315737 | 11.94 |
| 554 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 16) | GCST90320579 | 11.93 |
| 555 | aseg global volume 4th-Ventricle | GCST90002600 | 11.92 |
| 556 | PTPRH levels | GCST90470382 | 11.91 |
| 557 | ALB levels | GCST90475103 | 11.90 |
| 558 | SCARF2 levels | GCST90470537 | 11.88 |
| 559 | LAMP1 levels | GCST90469733 | 11.87 |
| 560 | wg rh intensity-contrast caudalmiddlefrontal | GCST90003830 | 11.84 |
| 561 | Other intervertebral disc disorders | FING00001063 | 11.83 |
| 562 | Spinal stenosis (PheCode 720) | GCST90476233 | 11.82 |
| 563 | Separation of retinal layers (serosa) | FING00001292 | 11.80 |
| 564 | ENPP7 levels | GCST90469118 | 11.79 |
| 565 | ALB levels | GCST90475106 | 11.77 |
| 566 | PECAM1/SOD2 ratio | GCST90315647 | 11.75 |
| 567 | Total thigh muscle volume z-score | GCST90267356 | 11.75 |
| 568 | Hair/balding pattern: Pattern 4 (UKB data field 2395_4) | GCST90043619 | 11.74 |
| 569 | VIT levels | GCST90471041 | 11.71 |
| 570 | Acquired foot deformities (PheCode 735) | GCST90476247 | 11.67 |
| 571 | Spondylolisthesis/Spondylolysis | FING00001324 | 11.66 |
| 572 | Glaucoma | sense organs | UKBB00000287 | 11.65 |
| 573 | FAP/THBS4 ratio | GCST90314785 | 11.64 |
| 574 | Thoracic aortic aneurysm | FING00001357 | 11.64 |
| 575 | aparc-Desikan lh thickness cuneus | GCST90003449 | 11.63 |
| 576 | Lymphoplasmacytic lymphoma and Waldenstrom macroglobulinemia | GCST90624744 | 11.58 |
| 577 | Physical function (baseline) | GCST90565837 | 11.55 |
| 578 | GAPDH levels | GCST90469302 | 11.50 |
| 579 | NPY/SMOC1 ratio | GCST90315551 | 11.50 |
| 580 | Hernia of abdominal wall | FING00000617 | 11.49 |
| 581 | Tibiofemoral angle | GCST90270263 | 11.47 |
| 582 | Volume of left whole amygdala | GCST90474988 | 11.46 |
| 583 | X-17676 levels | GCST90200548 | 11.46 |
| 584 | wg rh intensity-contrast parahippocampal | GCST90003842 | 11.45 |
| 585 | TNFRSF14/TNFSF14 ratio | GCST90315936 | 11.44 |
| 586 | IDP dMRI TBSS MO Medial lemniscus R | GCST90003960 | 11.43 |
| 587 | CR2/TNFRSF13B ratio | GCST90314225 | 11.43 |
| 588 | IDP dMRI ProbtrackX L3 ilf l | GCST90004314 | 11.41 |
| 589 | Operation code - varicose vein surgery | Operations | UKBB00000568 | 11.41 |
| 590 | DLK1 levels | GCST90469003 | 11.38 |
| 591 | Illnesses of mother - None of the above (group 1) | Family history | UKBB00000349 | 11.37 |
| 592 | ALKBH3 levels | GCST90619095 | 11.34 |
| 593 | Coronary artery calcification | GCST90503074 | 11.32 |
| 594 | IDP T1 FAST ROIs R caudate | GCST90002550 | 11.28 |
| 595 | aparc-DKTatlas rh volume parstriangularis | GCST90002911 | 11.26 |
| 596 | Degeneration of macula and posterior pole of retina (PheCode 362.2) | GCST90475849 | 11.21 |
| 597 | Spontaneous coronary artery dissection | GCST90245878 | 11.18 |
| 598 | Triacylglycerol_46:4_[M+NH4]1+ levels | GCST90060362 | 11.17 |
| 599 | aparc-DKTatlas lh thickness cuneus | GCST90003543 | 11.15 |
| 600 | CCL8 levels | GCST90422346 | 11.14 |
| 601 | PTPRN2/RTBDN ratio | GCST90315754 | 11.09 |
| 602 | L1CAM levels | GCST90469723 | 11.05 |
| 603 | DTI TBSS MD Retrolenticular part of internal capsule L | GCST90384593 | 11.05 |
| 604 | Body fat percentage (adjusted for testosterone and SHBG) | GCST90432179 | 10.98 |
| 605 | IDP dMRI TBSS MD Retrolenticular part of internal capsule L | GCST90004048 | 10.98 |
| 606 | Total protein levels | GCST90025995 | 10.96 |
| 607 | AHCY/HSPA1A ratio | GCST90313211 | 10.95 |
| 608 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 110) | GCST90320929 | 10.95 |
| 609 | Eye autorefraction and astigmatism (confirmatory factor analysis Factor 24) | GCST90309358 | 10.91 |
| 610 | IDP dMRI TBSS L2 Posterior limb of internal capsule R | GCST90004141 | 10.90 |
| 611 | Osteomyelitis, periostitis, and other infections involving bone (PheCode 710) | GCST90476220 | 10.89 |
| 612 | SCAMP3/VPS53 ratio | GCST90315807 | 10.89 |
| 613 | NRP1 levels | GCST90470085 | 10.87 |
| 614 | ICAM2 levels | GCST90469499 | 10.76 |
| 615 | X-12411 levels | GCST90200492 | 10.75 |
| 616 | Optic cup area | GCST004137 | 10.74 |
| 617 | Benign mammary dysplasia | FING00000151 | 10.71 |
| 618 | Metabolic disorder, other/unspecified | FING00000815 | 10.68 |
| 619 | Thoracic or lumbosacral neuritis or radiculitis, unspecified (PheCode 763) | GCST90476268 | 10.67 |
| 620 | LGALS3 levels | GCST90179303 | 10.67 |
| 621 | DKKL1 levels | GCST90469000 | 10.66 |
| 622 | Hypermetropia (PheCode 367.8) | GCST90475882 | 10.64 |
| 623 | COL24A1 levels | GCST90468814 | 10.63 |
| 624 | wg lh intensity-contrast transversetemporal | GCST90003825 | 10.60 |
| 625 | Glaucoma | Glaucoma | UKBB00000286 | 10.60 |
| 626 | aparc-DKTatlas lh area lingual | GCST90003245 | 10.60 |
| 627 | HAMP levels | GCST90451683 | 10.58 |
| 628 | Other hammer toe(s) (acquired) | FING00001054 | 10.57 |
| 629 | DPP6 levels | GCST90469034 | 10.57 |
| 630 | aparc-Desikan rh volume parahippocampal | GCST90002816 | 10.56 |
| 631 | PON1 levels | GCST90470285 | 10.52 |
| 632 | End-diastolic bi-ventricular shape (principal component 4) | GCST90448483 | 10.52 |
| 633 | MATN2/SCARA5 ratio | GCST90315388 | 10.51 |
| 634 | Levulinate 4-oxovalerate levels | GCST90243545 | 10.47 |
| 635 | AIFM1/EGF ratio | GCST90313219 | 10.47 |
| 636 | PAMR1 levels | GCST90470155 | 10.45 |
| 637 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T12 | ECGU000012 | 10.37 |
| 638 | rfMRI connectivity ICA-features 4 | GCST90006342 | 10.36 |
| 639 | aparc-Desikan lh area lingual | GCST90003085 | 10.35 |
| 640 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 32) | GCST90320595 | 10.32 |
| 641 | Abdominal aortic aneurysm (PheCode 442.11) | GCST90475994 | 10.32 |
| 642 | Operative procedures - Carpal tunnel release | Summary Operations | UKBB00000574 | 10.31 |
| 643 | SNX9/STIP1 ratio | GCST90315864 | 10.30 |
| 644 | Nonalcoholic fatty liver disease | GCST90054782 | 10.30 |
| 645 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 107) | GCST90320670 | 10.26 |
| 646 | BA-exvivo lh thickness BA2 | GCST90003514 | 10.26 |
| 647 | DSG4 levels | GCST90469044 | 10.26 |
| 648 | Hammer toe (acquired) (PheCode 735.21) | GCST90476250 | 10.24 |
| 649 | Hypertrophy of breast | FING00000644 | 10.23 |
| 650 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 46) | GCST90320609 | 10.21 |
| 651 | HSPG2/VASN ratio | GCST90315094 | 10.21 |
| 652 | FST/FSTL3 ratio | GCST90314882 | 10.20 |
| 653 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 98) | GCST90320661 | 10.20 |
| 654 | BTN2A1/SMOC2 ratio | GCST90313549 | 10.18 |
| 655 | SCARA5/TNC ratio | GCST90315810 | 10.16 |
| 656 | Fibromuscular dysplasia | GCST90026612 | 10.09 |
| 657 | PARK7/TNFRSF9 ratio | GCST90315599 | 10.08 |
| 658 | ITGB1 levels | GCST90469643 | 10.07 |
| 659 | COLEC12/TGFBR2 ratio | GCST90314186 | 10.06 |
| 660 | Succinylcarnitine levels | GCST90243874 | 10.04 |
| 661 | Benign lipomatous neoplasm of skin and subcutaneous tissue of trunk | FING00000150 | 10.03 |
| 662 | DTI autoptx L3 unc l tract | GCST90385218 | 10.03 |
| 663 | DTI autoptx L2 unc l tract | GCST90385191 | 10.03 |
| 664 | Left-hemisphere somatomotor network to thalamus white-matter structural connectivity | GCST90302682 | 10.02 |
| 665 | Pulmonary tuberculosis | GCST90018672 | 10.02 |
| 666 | NPL levels | GCST90470072 | 10.01 |
| 667 | SERPINA3 levels | GCST90470583 | 9.99 |
| 668 | ISLR2 levels | GCST90469629 | 9.97 |
| 669 | NOTCH3/PTPRS ratio | GCST90315547 | 9.97 |
| 670 | APOM/MCAM ratio | GCST90313315 | 9.95 |
| 671 | Macular puckering of retina (PheCode 362.26) | GCST90475854 | 9.94 |
| 672 | wg lh intensity-contrast superiortemporal | GCST90003821 | 9.93 |
| 673 | aparc-DKTatlas rh volume parahippocampal | GCST90002907 | 9.93 |
| 674 | IGF1 levels | GCST90468078 | 9.93 |
| 675 | ACVRL1/TNFRSF19 ratio | GCST90313159 | 9.91 |
| 676 | CNTN4 levels | GCST90468806 | 9.86 |
| 677 | MXRA8 levels | GCST90469968 | 9.85 |
| 678 | DTI TBSS L3 Superior corona radiata R | GCST90384548 | 9.83 |
| 679 | Operation code - wisdom teeth surgery | Operations | UKBB00000569 | 9.82 |
| 680 | Docosahexaenoic acid to total fatty acids percentage (UKB data field 23457) | GCST90269554 | 9.82 |
| 681 | Coronary angioplasty | FING00000357 | 9.82 |
| 682 | Systolic blood pressure | GCST90301697 | 9.80 |
| 683 | HRC levels | GCST90469475 | 9.80 |
| 684 | IDP dMRI TBSS L1 Superior fronto-occipital fasciculus R | GCST90004117 | 9.80 |
| 685 | LTBR levels | GCST90243176 | 9.80 |
| 686 | IDP dMRI TBSS FA Fornix | GCST90003882 | 9.79 |
| 687 | IL31RA levels | GCST90469589 | 9.79 |
| 688 | Nonrheumatic aortic valve disorders (PheCode 395.2) | GCST90475914 | 9.79 |
| 689 | Left-hemisphere salience/ventral attention network to right-hemisphere salience/ventral attention network white-matter structural connectivity | GCST90302715 | 9.77 |
| 690 | IDP dMRI ProbtrackX L3 ilf r | GCST90004315 | 9.77 |
| 691 | Corneal dystrophy (PheCode 364.5) | GCST90475864 | 9.77 |
| 692 | Osteomyelitis (PheCode 710.1) | GCST90476221 | 9.72 |
| 693 | F7/VASN ratio | GCST90314745 | 9.71 |
| 694 | IDP dMRI ProbtrackX MD ilf l | GCST90004233 | 9.71 |
| 695 | Hydrocele | FING00000627 | 9.70 |
| 696 | Osteoporosis | GCST90468145 | 9.70 |
| 697 | aparc-a2009s lh area S-subparietal | GCST90003367 | 9.70 |
| 698 | Metabolonic lactone sulfate levels | GCST90200257 | 9.68 |
| 699 | CCDC80/CHRDL1 ratio | GCST90313670 | 9.68 |
| 700 | PTPRZ1 levels | GCST90470388 | 9.68 |
| 701 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T13 | ECGU000013 | 9.67 |
| 702 | Valvular heart disease excluding rheumatic fever | FING00001414 | 9.67 |
| 703 | IDP dMRI TBSS L2 Pontine crossing tract | GCST90004124 | 9.66 |
| 704 | IDP T1 FAST ROIs L front operc cortex | GCST90002531 | 9.66 |
| 705 | RBP7 levels | GCST90470440 | 9.64 |
| 706 | SERPING1 levels | GCST90470600 | 9.62 |
| 707 | rfMRI connectivity (ICA100 edge 399) | GCST90005252 | 9.61 |
| 708 | CD74/LILRB4 ratio | GCST90313894 | 9.61 |
| 709 | Right-hemisphere limbic network to caudate white-matter structural connectivity | GCST90302828 | 9.59 |
| 710 | aparc-DKTatlas rh area cuneus | GCST90003268 | 9.59 |
| 711 | Vascular/heart problems diagnosed by doctor - Heart attack | Medical conditions | UKBB00000897 | 9.58 |
| 712 | IDP dMRI TBSS FA Tapetum L | GCST90003924 | 9.57 |
| 713 | Skin red/green component | GCST90320258 | 9.57 |
| 714 | MFAP4 levels | GCST90469898 | 9.57 |
| 715 | Sphingomyelin (d17:1/16:0, d18:1/15:0, d16:1/17:0) levels | GCST90200017 | 9.57 |
| 716 | IFIT2 levels | GCST90090864 | 9.56 |
| 717 | PPP2R2A levels | GCST90618122 | 9.55 |
| 718 | IDP dMRI TBSS L3 Uncinate fasciculus R | GCST90004215 | 9.54 |
| 719 | CTSZ/NAAA ratio | GCST90314320 | 9.53 |
| 720 | Angina | GCST90468109 | 9.49 |
| 721 | CCDC80/CCL27 ratio | GCST90313669 | 9.49 |
| 722 | Isoleucine levels (UKB data field 23465) | GCST90269562 | 9.47 |
| 723 | aparc-pial rh area parstriangularis | GCST90003193 | 9.47 |
| 724 | aparc-Desikan lh thickness GlobalMeanThickness | GCST90003445 | 9.46 |
| 725 | MAVS/PPP1R9B ratio | GCST90315393 | 9.46 |
| 726 | Benign leiomyoma with endometriosis (controls excluding all cancers) | FING00000145 | 9.39 |
| 727 | Stable angina pectoris | GCST90018695 | 9.37 |
| 728 | DNAJA2/HPCAL1 ratio | GCST90314503 | 9.37 |
| 729 | Fracture of rib(s), sternum and thoracic spine | FING00000558 | 9.36 |
| 730 | BA-exvivo lh volume BA4p | GCST90002840 | 9.35 |
| 731 | Ascending aorta diameter | GCST90091050 | 9.33 |
| 732 | DAB2/TBL1X ratio | GCST90314368 | 9.31 |
| 733 | CLK2 levels | GCST90240975 | 9.30 |
| 734 | Other predominantly sexually transmitted diseases, not elsewhere classified | FING00001089 | 9.30 |
| 735 | Lumbar disc prolapse | FING00000735 | 9.30 |
| 736 | BA-exvivo lh volume BA6 | GCST90002841 | 9.30 |
| 737 | 10-undecenoate (11:1n1) levels | GCST90243596 | 9.30 |
| 738 | wg lh intensity-contrast parsorbitalis | GCST90003810 | 9.29 |
| 739 | ITGBL1 levels | GCST90469648 | 9.29 |
| 740 | CD40LG/TNFSF14 ratio | GCST90313827 | 9.28 |
| 741 | Right-hemisphere salience/ventral attention network to pallidum white-matter structural connectivity | GCST90302820 | 9.28 |
| 742 | IDP dMRI TBSS L3 Sagittal stratum L | GCST90004202 | 9.27 |
| 743 | Retinal detachments and breaks | Disorders of choroid and retina | UKBB00000755 | 9.23 |
| 744 | CIAPIN1/SNX9 ratio | GCST90314068 | 9.20 |
| 745 | Medication use (salicylic acid and derivatives) | GCST90018775 | 9.18 |
| 746 | FNDC1 levels | GCST90469256 | 9.18 |
| 747 | Other cataract | Disorders of lens | UKBB00000602 | 9.17 |
| 748 | Retinal arteriolar width | GCST90270398 | 9.17 |
| 749 | CD70 levels | GCST90468645 | 9.16 |
| 750 | Spinal stenosis | FING00001322 | 9.15 |
| 751 | SFRP4 levels | GCST90470611 | 9.10 |
| 752 | FGF19/SCG2 ratio | GCST90314809 | 9.08 |
| 753 | Fracture at wrist and hand level | FING00000551 | 9.08 |
| 754 | DTI TBSS FA Posterior corona radiata R | GCST90384406 | 9.08 |
| 755 | Unstable angina pectoris | FING00001405 | 9.06 |
| 756 | IDP dMRI TBSS L2 Cingulum hippocampus R | GCST90004159 | 9.06 |
| 757 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 84) | GCST90320903 | 9.05 |
| 758 | Left-hemisphere limbic network to right-hemisphere limbic network white-matter structural connectivity | GCST90302733 | 9.03 |
| 759 | Testosterone levels | GCST90483486 | 9.02 |
| 760 | Retinal detachment with retinal defect | sense organs | UKBB00000754 | 9.00 |
| 761 | PON3 levels | GCST90470287 | 9.00 |
| 762 | 4-hydroxyglutamate levels | GCST90199890 | 8.99 |
| 763 | aseg rh intensity Lateral-Ventricle | GCST90003778 | 8.99 |
| 764 | BA-exvivo rh volume BA6 | GCST90002855 | 8.99 |
| 765 | Takes medication for heart attack? | GCST90475212 | 8.98 |
| 766 | PPT1 levels | GCST90427718 | 8.97 |
| 767 | Early lumbar disc prolapse, operated | FING00000484 | 8.95 |
| 768 | CDH5/ENG ratio | GCST90313954 | 8.95 |
| 769 | Intracerebral hemorrhage | GCST90018650 | 8.95 |
| 770 | AGRN/BTN2A1 ratio | GCST90313199 | 8.94 |
| 771 | wg rh intensity-contrast parstriangularis | GCST90003846 | 8.93 |
| 772 | Lysoalkylphosphatidylcholine (O-20:0) levels | GCST90024193 | 8.92 |
| 773 | Operative procedures - Anastomosis of mammary artery to left anterior descending coronary artery | Summary Operations | UKBB00000571 | 8.90 |
| 774 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T11 | ECGU000011 | 8.88 |
| 775 | Left-hemisphere salience/ventral attention network to thalamus white-matter structural connectivity | GCST90302719 | 8.87 |
| 776 | SCARF2/TNFRSF21 ratio | GCST90315813 | 8.84 |
| 777 | aparc-Desikan lh volume parsopercularis | GCST90002785 | 8.84 |
| 778 | Osteoporosis, osteopenia and pathological fracture | musculoskeletal | UKBB00000600 | 8.83 |
| 779 | Angina pectoris | Ischaemic heart diseases | UKBB00000031 | 8.80 |
| 780 | CPM levels | GCST90240598 | 8.80 |
| 781 | CLEC14A/PIK3IP1 ratio | GCST90314080 | 8.77 |
| 782 | MYOC levels | GCST90469983 | 8.77 |
| 783 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 125) | GCST90320688 | 8.75 |
| 784 | CFHR4 levels | GCST90019045 | 8.75 |
| 785 | aparc-Desikan lh thickness precuneus | GCST90003469 | 8.75 |
| 786 | TNN levels | GCST90470927 | 8.74 |
| 787 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 23) | GCST90320842 | 8.73 |
| 788 | CD48 levels | GCST90425676 | 8.71 |
| 789 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 103) | GCST90320922 | 8.70 |
| 790 | Endometriosis | FING00000497 | 8.70 |
| 791 | Acetabular diameter | GCST90448906 | 8.69 |
| 792 | HMCN2 levels | GCST90469461 | 8.68 |
| 793 | Skin yellow/blue component | GCST90320259 | 8.67 |
| 794 | Fracture of lower limb | injuries & poisonings | UKBB00000255 | 8.65 |
| 795 | IDP T1 FAST ROIs L cuneal cortex | GCST90002513 | 8.65 |
| 796 | Smoking dependency | FING00001315 | 8.64 |
| 797 | NOTCH3 levels | GCST90470067 | 8.62 |
| 798 | Paroxysmal tachycardia | FING00001151 | 8.60 |
| 799 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 93) | GCST90320912 | 8.59 |
| 800 | aparc-a2009s lh volume G-cuneus | GCST90002935 | 8.59 |
| 801 | Spherical power (left) | Autorefraction | UKBB00000790 | 8.58 |
| 802 | Diverticular disease of intestine | FING00000471 | 8.57 |
| 803 | IDP dMRI TBSS L3 Superior fronto-occipital fasciculus R | GCST90004213 | 8.55 |
| 804 | Phosphatidylcholine-O_36:2_[M+H]1+/Phosphatidylcholine-P_36:1_[M+H]1+/Phosphatidylethanolamine-P_39:1_[M+H]1+ levels | GCST90060326 | 8.52 |
| 805 | DTI TBSS L1 External capsule R | GCST90384460 | 8.48 |
| 806 | LEPR levels | GCST90469756 | 8.47 |
| 807 | Angina pectoris | circulatory system | UKBB00000030 | 8.46 |
| 808 | aparc-a2009s lh thickness G-postcentral | GCST90003630 | 8.45 |
| 809 | Nonalcoholic fatty liver disease | GCST90275041 | 8.44 |
| 810 | TNFRSF4/TNFRSF9 ratio | GCST90315939 | 8.43 |
| 811 | TNFRSF11B levels | GCST90243158 | 8.42 |
| 812 | BA-exvivo rh area perirhinal | GCST90003233 | 8.41 |
| 813 | QC dMRI-to-T1 linear alignment discrepancy | GCST90006351 | 8.40 |
| 814 | Rotator cuff injury | GCST90044700 | 8.40 |
| 815 | wg lh intensity-contrast bankssts | GCST90003793 | 8.40 |
| 816 | GGCT levels | GCST90469334 | 8.40 |
| 817 | CKAP2 levels | GCST90240866 | 8.39 |
| 818 | CCN3/PGF ratio | GCST90313722 | 8.39 |
| 819 | IL13RA1 levels | GCST90469552 | 8.38 |
| 820 | Solitary pulmonary nodule (PheCode 514.2) | GCST90476044 | 8.38 |
| 821 | IGF1 levels | UKBB00000337 | 8.37 |
| 822 | FUT8/VEGFC ratio | GCST90314896 | 8.36 |
| 823 | DTI TBSS L2 Retrolenticular part of internal capsule L | GCST90384497 | 8.36 |
| 824 | IDP dMRI ProbtrackX L2 atr l | GCST90004275 | 8.34 |
| 825 | Lysoalkylphosphatidylcholine (O-24:0) levels | GCST90024812 | 8.33 |
| 826 | IDP dMRI TBSS ICVF Fornix | GCST90004332 | 8.33 |
| 827 | LAMB1 levels | GCST90469732 | 8.33 |
| 828 | PON2/PON3 ratio | GCST90315703 | 8.31 |
| 829 | IDP dMRI ProbtrackX MD cgh l | GCST90004225 | 8.31 |
| 830 | wg lh intensity-contrast caudalmiddlefrontal | GCST90003795 | 8.29 |
| 831 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 106) | GCST90320925 | 8.28 |
| 832 | FURIN/IGSF3 ratio | GCST90314885 | 8.26 |
| 833 | KDR/VWF ratio | GCST90315245 | 8.26 |
| 834 | Volume of right cortico-amygdaloid transition area | GCST90474913 | 8.25 |
| 835 | Bioavailable testosterone levels | GCST90012102 | 8.23 |
| 836 | NEO1 levels | GCST90470029 | 8.23 |
| 837 | Heart rate variability (corrected standard deviation of normal-to-normal intervals) | GCST90281266 | 8.23 |
| 838 | IDP dMRI ProbtrackX MD fma | GCST90004229 | 8.22 |
| 839 | IDP dMRI ProbtrackX MD ilf r | GCST90004234 | 8.22 |
| 840 | IDP dMRI TBSS MD Superior fronto-occipital fasciculus L | GCST90004070 | 8.21 |
| 841 | DTI TBSS L1 Fornix | GCST90384433 | 8.21 |
| 842 | Heart attack | GCST90468132 | 8.21 |
| 843 | Total body bone mineral density (age 45-60) | GCST005350 | 8.20 |
| 844 | Volume of right basal nucleus | GCST90474910 | 8.19 |
| 845 | Pulse wave peak to peak time | Arterial stiffness | UKBB00000725 | 8.19 |
| 846 | HJV levels | GCST90469455 | 8.19 |
| 847 | Left-hemisphere control network to thalamus white-matter structural connectivity | GCST90302752 | 8.18 |
| 848 | CA11 levels | GCST90468506 | 8.18 |
| 849 | OMD levels | GCST90470123 | 8.17 |
| 850 | FURIN/PLA2G15 ratio | GCST90314887 | 8.14 |
| 851 | FABP2/RBP2 ratio | GCST90314757 | 8.11 |
| 852 | Olsenella C abundance in stool | GCST90032493 | 8.11 |
| 853 | IDP dMRI ProbtrackX L3 ifo l | GCST90004312 | 8.10 |
| 854 | HYOU1/THBD ratio | GCST90315106 | 8.10 |
| 855 | F3 levels | GCST90469170 | 8.05 |
| 856 | Inguinal hernia | GCST90018648 | 8.05 |
| 857 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T37 | ECGU000037 | 8.05 |
| 858 | IDP dMRI ProbtrackX L2 ifo l | GCST90004285 | 8.04 |
| 859 | IDP dMRI ProbtrackX MD atr l | GCST90004221 | 8.01 |
| 860 | Coronary atherosclerosis (PheCode 411.4) | GCST90043957 | 8.01 |
| 861 | CNTN5 levels | GCST90468807 | 8.00 |
| 862 | X-25371 levels | GCST90200656 | 8.00 |
| 863 | Diastolic blood pressure x sex interaction | GCST90335175 | 7.98 |
| 864 | ANGPTL7 levels | GCST90468306 | 7.97 |
| 865 | Other disorders of eyelids (PheCode 374) | GCST90475890 | 7.97 |
| 866 | Mononeuropathies of upper limb | Nerve, nerve root and plexus disorders | UKBB00000481 | 7.97 |
| 867 | IGFBP4/OGN ratio | GCST90315134 | 7.95 |
| 868 | IDP dMRI TBSS L2 Cerebral peduncle R | GCST90004137 | 7.95 |
| 869 | DTI TBSS L2 Posterior corona radiata R | GCST90384502 | 7.93 |
| 870 | aparc-a2009s rh area S-orbital-H-Shaped | GCST90003434 | 7.93 |
| 871 | Unspecified osteomyelitis (PheCode 710.19) | GCST90476224 | 7.93 |
| 872 | rfMRI amplitudes (ICA100 node 40) | GCST90004628 | 7.92 |
| 873 | ITGAV levels | GCST90469639 | 7.91 |
| 874 | Enteritis due to Yersinia enterocolitica | FING00000505 | 7.91 |
| 875 | CHCHD6 levels | GCST90468739 | 7.90 |
| 876 | Middle diffusion tensor imaging along the perivascular space index | GCST90455544 | 7.89 |
| 877 | Cataract (PheCode 366) | GCST90043785 | 7.89 |
| 878 | IDP dMRI TBSS OD Superior corona radiata R | GCST90004426 | 7.88 |
| 879 | Blood cell traits latent factor 20 (red cell) | GCST90559262 | 7.88 |
| 880 | CD300LG/DSG2 ratio | GCST90313802 | 7.84 |
| 881 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 81) | GCST90320644 | 7.84 |
| 882 | NCS1/NPY ratio | GCST90315527 | 7.83 |
| 883 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 78) | GCST90320897 | 7.82 |
| 884 | aparc-DKTatlas lh volume insula | GCST90002893 | 7.81 |
| 885 | FAM3B/FGF19 ratio | GCST90314776 | 7.81 |
| 886 | Deep bite | FING00000380 | 7.80 |
| 887 | TSTA3 levels | GCST90421854 | 7.79 |
| 888 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 118) | GCST90320681 | 7.78 |
| 889 | Dry age-related macular degeneration (includes geographic atrophy) | FING00000480 | 7.77 |
| 890 | IDP dMRI ProbtrackX MD ar l | GCST90004219 | 7.76 |
| 891 | UNC5D levels | GCST90471010 | 7.74 |
| 892 | GERD | digestive | UKBB00000283 | 7.74 |
| 893 | Chronic hepatitis B infection | GCST90018584 | 7.72 |
| 894 | Microscopic colitis | GCST90204144 | 7.72 |
| 895 | IDP dMRI ProbtrackX L2 cst r | GCST90004282 | 7.71 |
| 896 | BA-exvivo rh volume BA1 | GCST90002849 | 7.71 |
| 897 | FUS levels | GCST90469278 | 7.71 |
| 898 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 2) | GCST90320565 | 7.68 |
| 899 | CR2 levels | GCST90468852 | 7.68 |
| 900 | BA-exvivo rh volume BA45 | GCST90002857 | 7.67 |
| 901 | FGF19 levels | GCST90469220 | 7.67 |
| 902 | Left ventricular end diastolic mass end diastolic volume ratio | GCST90268131 | 7.66 |
| 903 | rfMRI amplitudes (ICA100 node 27) | GCST90004615 | 7.66 |
| 904 | Forced expiratory volume (baseline) | GCST90565844 | 7.65 |
| 905 | Height (weighted GWA) | GCST90267285 | 7.64 |
| 906 | IDP dMRI TBSS MD Sagittal stratum L | GCST90004058 | 7.63 |
| 907 | Volume of right accessory basal nucleus | GCST90474907 | 7.62 |
| 908 | Non-cancer illness code, self-reported - angina | Medical conditions | UKBB00000505 | 7.60 |
| 909 | aparc-DKTatlas rh area parstriangularis | GCST90003283 | 7.59 |
| 910 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 43) | GCST90320606 | 7.59 |
| 911 | aseg global volume BrainSeg | GCST90002590 | 7.59 |
| 912 | CAG-177 sp003514385 abundance in stool | GCST90032259 | 7.58 |
| 913 | Acute appendicitis | FING00000017 | 7.58 |
| 914 | Unspecified monoarthritis | musculoskeletal | UKBB00000882 | 7.56 |
| 915 | IDP dMRI ProbtrackX MD cgc l | GCST90004223 | 7.56 |
| 916 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T184 | ECGU000184 | 7.55 |
| 917 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 94) | GCST90320913 | 7.55 |
| 918 | Knee osteoarthritis | GCST007090 | 7.55 |
| 919 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 6) | GCST90320825 | 7.55 |
| 920 | Retinal arteriolar tortuosity | GCST90270397 | 7.54 |
| 921 | BSG/LAMP3 ratio | GCST90313533 | 7.54 |
| 922 | SPTLC1 levels | GCST90427130 | 7.53 |
| 923 | CA5A/KRT18 ratio | GCST90313592 | 7.52 |
| 924 | DLK1/RGMB ratio | GCST90314493 | 7.52 |
| 925 | Phospholipids to total lipids in large VLDL percentage (UKB data field 23589) | GCST90269686 | 7.51 |
| 926 | ITGA11 levels | GCST90469633 | 7.51 |
| 927 | CDH5 levels | GCST90468676 | 7.51 |
| 928 | ICD10 C53: Malignant neoplasm of cervix uteri | GCST90454202 | 7.50 |
| 929 | DTI TBSS L3 Anterior corona radiata R | GCST90384546 | 7.49 |
| 930 | IDP dMRI TBSS MD Cingulum cingulate gyrus R | GCST90004061 | 7.48 |
| 931 | Mean volume of bilateral amygdala | GCST90474992 | 7.48 |
| 932 | Non-cancer illness code, self-reported - heart attack/myocardial infarction | Medical conditions | UKBB00000514 | 7.48 |
| 933 | FABP5 levels | GCST90469177 | 7.48 |
| 934 | Illnesses of father - None of the above (group 1) | Family history | UKBB00000345 | 7.47 |
| 935 | GDNF levels | GCST90469323 | 7.47 |
| 936 | Tonsillectomy and adenotomy | FING00001367 | 7.46 |
| 937 | aparc-a2009s lh area G-cuneus | GCST90003307 | 7.45 |
| 938 | aparc-a2009s lh thickness S-postcentral | GCST90003669 | 7.44 |
| 939 | ERBB2 levels | GCST90469139 | 7.43 |
| 940 | aparc-DKTatlas rh area lateraloccipital | GCST90003274 | 7.42 |
| 941 | FSTL3/SPON2 ratio | GCST90314884 | 7.41 |
| 942 | COMP levels | GCST90468827 | 7.40 |
| 943 | Osteoporosis | GCST90086122 | 7.40 |
| 944 | Other disorders of testis (PheCode 603) | GCST90476156 | 7.39 |
| 945 | ALB levels | GCST90475100 | 7.38 |
| 946 | CTSL levels | GCST90468914 | 7.37 |
| 947 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T14 | ECGU000014 | 7.36 |
| 948 | Total testosterone levels | GCST90239820 | 7.35 |
| 949 | IDP dMRI ProbtrackX L2 ifo r | GCST90004286 | 7.35 |
| 950 | RGMB/SMOC2 ratio | GCST90315770 | 7.34 |
| 951 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T36 | ECGU000036 | 7.33 |
| 952 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 102) | GCST90320665 | 7.33 |
| 953 | ROBO1/SPON1 ratio | GCST90315783 | 7.32 |
| 954 | rfMRI connectivity (ICA100 edge 380) | GCST90005233 | 7.31 |
| 955 | IDP dMRI TBSS L3 Superior fronto-occipital fasciculus L | GCST90004214 | 7.29 |
| 956 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 86) | GCST90320905 | 7.25 |
| 957 | Heart attack | GCST90475211 | 7.23 |
| 958 | MOG/RTBDN ratio | GCST90315476 | 7.23 |
| 959 | COL3A1 levels | GCST90468817 | 7.22 |
| 960 | NAAA/SMPD1 ratio | GCST90315510 | 7.20 |
| 961 | IDP dMRI TBSS MD Corticospinal tract R | GCST90004033 | 7.20 |
| 962 | wg lh intensity-contrast entorhinal | GCST90003797 | 7.19 |
| 963 | SPINT1 levels | GCST90470727 | 7.18 |
| 964 | MESD/NCK2 ratio | GCST90315421 | 7.18 |
| 965 | IDP dMRI ProbtrackX MO atr r | GCST90004003 | 7.18 |
| 966 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 104) | GCST90320667 | 7.15 |
| 967 | CAG-177 abundance in stool | GCST90032261 | 7.15 |
| 968 | Indolelactate levels | GCST90243507 | 7.15 |
| 969 | RBP2 levels | GCST90470438 | 7.14 |
| 970 | IDP dMRI TBSS L2 Tapetum L | GCST90004170 | 7.13 |
| 971 | Age-related macular degeneration | GCST90086111 | 7.11 |
| 972 | TMSB10/ZBTB16 ratio | GCST90315926 | 7.11 |
| 973 | XRCC4 levels | GCST90471085 | 7.11 |
| 974 | aseg lh volume Inf-Lat-Vent | GCST90002617 | 7.10 |
| 975 | Major coronary heart disease event | FING00000746 | 7.10 |
| 976 | Arthropathies | FING00000107 | 7.09 |
| 977 | Coronary revascularization (ANGIO or CABG) | FING00000360 | 7.09 |
| 978 | IDP dMRI TBSS MD Retrolenticular part of internal capsule R | GCST90004047 | 7.09 |
| 979 | C3 levels | GCST90468498 | 7.09 |
| 980 | NHLRC3 levels | GCST90470046 | 7.08 |
| 981 | Autorefraction - 6mm asymmetry angle (left) | Eyesight | UKBB00000072 | 7.07 |
| 982 | ADGRE5/NOTCH1 ratio | GCST90313181 | 7.07 |
| 983 | CD40LG/SERPINE1 ratio | GCST90313826 | 7.06 |
| 984 | ATXN2L levels | GCST90468402 | 7.05 |
| 985 | Vascular/heart problems diagnosed by doctor - Angina | Medical conditions | UKBB00000896 | 7.04 |
| 986 | aparc-Desikan rh area lateraloccipital | GCST90003117 | 7.04 |
| 987 | Unstable angina pectoris | GCST90018712 | 7.04 |
| 988 | TGFBR3 levels | GCST90470848 | 7.04 |
| 989 | BA-exvivo rh thickness BA2 | GCST90003528 | 7.03 |
| 990 | Snoring | GCST009763 | 7.03 |
| 991 | Cereal type - Oat cereal (e.g. Ready Brek, porridge) | Diet | UKBB00000124 | 7.02 |
| 992 | Primary angle-closure glaucoma (PheCode 365.2) | GCST90475876 | 7.01 |
| 993 | aparc-DKTatlas lh area cuneus | GCST90003237 | 7.01 |
| 994 | CDHR2 levels | GCST90468679 | 7.00 |
| 995 | Hair/balding pattern: Pattern 1 (UKB data field 2395_1) | GCST90043616 | 7.00 |
| 996 | Trunk predicted mass | Impedance measures | UKBB00000866 | 6.99 |
| 997 | CA2/HMBS ratio | GCST90313579 | 6.98 |
| 998 | ABHD14B/CCS ratio | GCST90313139 | 6.98 |
| 999 | Frequency of light DIY in last 4 weeks | Physical activity | UKBB00000264 | 6.97 |
| 1000 | Trunk fat-free mass | Impedance measures | UKBB00000865 | 6.96 |