| 1 | Intraocular pressure (confirmatory factor analysis Factor 26) | GCST90309360 | 46.69 |
| 2 | Intra-ocular pressure, Goldmann-correlated (right) | Intraocular pressure | UKBB00000377 | 43.07 |
| 3 | Hallux valgus (acquired) | FING00000601 | 40.99 |
| 4 | Intra-ocular pressure, Goldmann-correlated (left) | Intraocular pressure | UKBB00000376 | 38.61 |
| 5 | Pulse pressure | GCST90301703 | 37.32 |
| 6 | Inguinal hernia | FING00000681 | 34.23 |
| 7 | Pulse pressure | GCST90301701 | 34.20 |
| 8 | Autorefraction - 6mm weak meridian (left) | Eyesight | UKBB00000079 | 33.66 |
| 9 | Dermatochalasis (PheCode 374.6) | GCST90475894 | 33.23 |
| 10 | Pulse pressure | GCST90472785 | 32.81 |
| 11 | Autorefraction - 6mm strong meridian (left) | Eyesight | UKBB00000075 | 32.77 |
| 12 | Osteoporosis, osteopenia and pathological fracture (PheCode 743) | GCST90476258 | 32.77 |
| 13 | Autorefraction - 6mm asymmetry index (right) | Eyesight | UKBB00000074 | 32.39 |
| 14 | Hip index | GCST012229 | 32.32 |
| 15 | A body shape index | GCST90020024 | 31.88 |
| 16 | Impedance of arm left (UKB data field 23110) | GCST90468171 | 31.37 |
| 17 | HSPG2/IGFBP6 ratio | GCST90315091 | 31.35 |
| 18 | Hip width to body height ratio | GCST90270260 | 31.26 |
| 19 | Undecenoylcarnitine (C11:1) levels | GCST90200236 | 30.18 |
| 20 | Osteoporosis NOS (PheCode 743.11) | GCST90476260 | 30.18 |
| 21 | Pulse pressure, automated reading | Cardiovascular measurement | UKBB00000714 | 30.15 |
| 22 | Pulse pressure, combined automated + manual reading | Cardiovascular measurement | UKBB00000718 | 30.01 |
| 23 | Osteoporosis (PheCode 743.1) | GCST90476259 | 29.84 |
| 24 | Hernia | FING00000616 | 29.58 |
| 25 | Waist circumference adjusted for body mass index | GCST90020029 | 29.35 |
| 26 | Pulse pressure, combined automated + manual reading | Cardiovascular measurement | UKBB00000719 | 29.20 |
| 27 | Autorefraction - 6mm weak meridian (right) | Eyesight | UKBB00000080 | 28.83 |
| 28 | Pulse pressure, automated reading | Cardiovascular measurement | UKBB00000715 | 28.66 |
| 29 | Waist-hip index | GCST90020027 | 28.24 |
| 30 | Impedance of arm right (UKB data field 23109) | GCST90468172 | 28.17 |
| 31 | Autorefraction - 3mm weak meridian (left) | Eyesight | UKBB00000069 | 27.99 |
| 32 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 42) | GCST90320605 | 27.60 |
| 33 | Autorefraction - 3mm weak meridian (right) | Eyesight | UKBB00000070 | 27.58 |
| 34 | Haemorrhoidal disease | GCST90014033 | 27.53 |
| 35 | Waist-to-hip ratio adjusted for BMI | GCST90020025 | 27.47 |
| 36 | Operative procedures - Primary repair of inguinal hernia using insert of prosthetic material | Summary Operations | UKBB00000587 | 26.95 |
| 37 | Abdominal hernia | digestive | UKBB00000002 | 26.83 |
| 38 | Corneal resistance factor | GCST90100568 | 26.24 |
| 39 | Waist-to-hip ratio adjusted for BMI | GCST90025996 | 26.20 |
| 40 | Inguinal hernia | digestive | UKBB00000362 | 26.16 |
| 41 | Inguinal hernia | Hernia | UKBB00000363 | 26.15 |
| 42 | Incisional hernia (PheCode 550.6) | GCST90476064 | 26.01 |
| 43 | Ventral hernia (PheCode 550.5) | GCST90476063 | 25.95 |
| 44 | CBLN4 levels | GCST90468554 | 25.86 |
| 45 | Abdominal hernia (PheCode 550) | GCST90476059 | 25.80 |
| 46 | Hip index | GCST90020026 | 25.78 |
| 47 | REST UKBBICA NET100 1287 | GCST90387141 | 25.68 |
| 48 | Pulse pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurement | UKBB00000720 | 24.94 |
| 49 | Pulse pressure | GCST90301702 | 24.86 |
| 50 | Pulse pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurement | UKBB00000721 | 24.43 |
| 51 | Oblique pelvic inlet length | GCST90448909 | 24.34 |
| 52 | Operation code - inguinal/femoral hernia repair | Operations | UKBB00000561 | 24.16 |
| 53 | Impedance of arm (left) | Impedance measures | UKBB00000356 | 24.12 |
| 54 | Pulse pressure | GCST90472783 | 24.10 |
| 55 | Pulse pressure, automated reading, adjusted by medication | Cardiovascular measurement | UKBB00000716 | 23.98 |
| 56 | Impedance of arm (right) | Impedance measures | UKBB00000357 | 23.87 |
| 57 | Autorefraction - 3mm strong meridian (left) | Eyesight | UKBB00000065 | 23.84 |
| 58 | Autorefraction - 6mm strong meridian (right) | Eyesight | UKBB00000076 | 23.80 |
| 59 | Waist-hip index | GCST012228 | 23.69 |
| 60 | ZNRF4 levels | GCST90471104 | 23.61 |
| 61 | Pulse pressure, automated reading, adjusted by medication | Cardiovascular measurement | UKBB00000717 | 23.53 |
| 62 | Waist-to-hip ratio adjusted for BMI | GCST012230 | 23.23 |
| 63 | Carpal tunnel syndrome | FING00000257 | 23.21 |
| 64 | Autorefraction - 3mm strong meridian (right) | Eyesight | UKBB00000066 | 23.08 |
| 65 | TNXB levels | GCST90470930 | 22.54 |
| 66 | IDP dMRI ProbtrackX L3 unc r | GCST90004326 | 22.31 |
| 67 | Tibia length to body height ratio | GCST90270258 | 22.20 |
| 68 | Corneal hysteresis (left) | Intraocular pressure | UKBB00000148 | 22.16 |
| 69 | Corneal resistance factor (right) | Intraocular pressure | UKBB00000151 | 22.15 |
| 70 | COL6A3/CST3 ratio | GCST90314174 | 22.07 |
| 71 | Pulse pressure | GCST90310296 | 22.06 |
| 72 | BCL2 levels | GCST90468433 | 21.69 |
| 73 | Corneal resistance factor (left) | Intraocular pressure | UKBB00000150 | 21.57 |
| 74 | IDP T1 FAST ROIs R occ pole | GCST90002546 | 21.32 |
| 75 | ROBO2 levels | GCST90470490 | 21.17 |
| 76 | Waist circumference adjusted for body mass index | GCST90302892 | 21.02 |
| 77 | Impedance of whole body (UKB data field 23106) | GCST90468173 | 20.86 |
| 78 | Corneal resistance factor | GCST90308682 | 20.69 |
| 79 | Phenylalanine levels | GCST90243407 | 20.69 |
| 80 | EGFR/FAP ratio | GCST90314613 | 20.51 |
| 81 | Eye conditions (confirmatory factor analysis Factor 25) | GCST90309359 | 19.91 |
| 82 | VNN2 levels | GCST90618510 | 19.81 |
| 83 | Heel bone mineral density (BMD) (left) | Bone-densitometry of heel | UKBB00000313 | 19.53 |
| 84 | TNC levels | GCST90470895 | 19.47 |
| 85 | Corneal hysteresis (right) | Intraocular pressure | UKBB00000149 | 19.23 |
| 86 | QC T1 inverse SNR | GCST90006348 | 19.20 |
| 87 | SCARA5 levels | GCST90470533 | 19.17 |
| 88 | Inguinal hernia (PheCode 550.1) | GCST90476060 | 18.86 |
| 89 | aseg global volume-ratio BrainSegVol-to-eTIV | GCST90002612 | 18.79 |
| 90 | Right-hemisphere visual network to right-hemisphere control network white-matter structural connectivity | GCST90302779 | 18.74 |
| 91 | Pulse pressure | GCST90472784 | 18.61 |
| 92 | aparc-DKTatlas rh area inferiorparietal | GCST90003271 | 18.61 |
| 93 | Heel quantitative ultrasound index (QUI), direct entry (left) | Bone-densitometry of heel | UKBB00000322 | 18.57 |
| 94 | Heel bone mineral density (BMD) T-score, automated (left) | Bone-densitometry of heel | UKBB00000316 | 18.56 |
| 95 | Impedance of leg (left) | Impedance measures | UKBB00000358 | 18.52 |
| 96 | Heel Broadband ultrasound attenuation, direct entry | Bone-densitometry of heel | UKBB00000321 | 18.39 |
| 97 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T5 | ECGU000005 | 18.35 |
| 98 | Heel quantitative ultrasound index (QUI), direct entry (right) | Bone-densitometry of heel | UKBB00000323 | 18.35 |
| 99 | Heel bone mineral density (BMD) T-score, automated (right) | Bone-densitometry of heel | UKBB00000317 | 18.35 |
| 100 | COL6A3/SMOC2 ratio | GCST90314178 | 18.30 |
| 101 | Iliac isthmus breadth | GCST90448907 | 18.08 |
| 102 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T3 | ECGU000003 | 18.03 |
| 103 | Heel bone mineral density (BMD) (right) | Bone-densitometry of heel | UKBB00000314 | 17.92 |
| 104 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T4 | ECGU000004 | 17.91 |
| 105 | Impedance of whole body | Impedance measures | UKBB00000360 | 17.82 |
| 106 | Other mental disorders due to brain damage and dysfunction and to physical disease | FING00001072 | 17.74 |
| 107 | TNC/VCAM1 ratio | GCST90315927 | 17.70 |
| 108 | Prescriptions - latanoprost | prostaglandin analog | UKBB00000686 | 17.70 |
| 109 | Pelvic width | GCST90448911 | 17.63 |
| 110 | ROBO2/SCARF2 ratio | GCST90315784 | 17.56 |
| 111 | Open-angle glaucoma (PheCode 365.1) | GCST90475872 | 17.55 |
| 112 | Dupuytren's disease | GCST90301252 | 17.52 |
| 113 | Central corneal thickness | GCST006366 | 17.16 |
| 114 | Impedance of leg (right) | Impedance measures | UKBB00000359 | 17.07 |
| 115 | Ankle spacing width | Bone-densitometry of heel | UKBB00000035 | 17.05 |
| 116 | Descending aorta diameter | GCST90267391 | 17.04 |
| 117 | IDP dMRI ProbtrackX L2 unc r | GCST90004299 | 16.93 |
| 118 | Fracture of forearm | FING00000554 | 16.76 |
| 119 | aparc-a2009s lh thickness G-postcentral | GCST90003630 | 16.61 |
| 120 | aparc-Desikan lh thickness postcentral | GCST90003466 | 16.60 |
| 121 | Subclinical hyperthyroidism in pregnancy | GCST90435199 | 16.59 |
| 122 | Operative procedures - Angiocardiography of left side of heart NEC | Summary Operations | UKBB00000572 | 16.56 |
| 123 | Hip circumference adjusted for BMI | GCST012227 | 16.46 |
| 124 | C21orf58 levels | GCST90618380 | 16.44 |
| 125 | IDP dMRI ProbtrackX MD unc r | GCST90004245 | 16.39 |
| 126 | Glaucoma | GCST90475869 | 16.33 |
| 127 | Ribothymidine levels in chronic kidney disease | GCST90257554 | 16.16 |
| 128 | Retinal breaks without detachment | FING00001258 | 16.15 |
| 129 | DLK1/FAP ratio | GCST90314491 | 16.13 |
| 130 | Primary open-angle glaucoma, strict | FING00001214 | 16.13 |
| 131 | Autorefraction - 6mm asymmetry index (left) | Eyesight | UKBB00000073 | 16.09 |
| 132 | BOC levels | GCST90468458 | 16.06 |
| 133 | IDP dMRI ProbtrackX MD unc l | GCST90004244 | 16.03 |
| 134 | Scoliosis | FING00001281 | 15.92 |
| 135 | Autorefraction - 6mm strong meridian angle (right) | Eyesight | UKBB00000078 | 15.84 |
| 136 | SIL1 levels | GCST90470638 | 15.80 |
| 137 | aparc-Desikan rh area inferiorparietal | GCST90003114 | 15.75 |
| 138 | COL6A3/COLEC12 ratio | GCST90314173 | 15.70 |
| 139 | IDP dMRI ProbtrackX L3 unc l | GCST90004325 | 15.70 |
| 140 | Coronary artery calcification | GCST90278456 | 15.66 |
| 141 | CXCL10/WARS ratio | GCST90314332 | 15.64 |
| 142 | Subpubic angle | GCST90448908 | 15.53 |
| 143 | Waist-to-Hip ratio | Body measurement | UKBB00000905 | 15.44 |
| 144 | EFEMP1/FSTL3 ratio | GCST90314595 | 15.38 |
| 145 | Calcific aortic valve stenosis | GCST90310293 | 15.38 |
| 146 | Macular degeneration, wet (PheCode 362.22) | GCST90475852 | 15.33 |
| 147 | Intrahepatic cholestasis of pregnancy | GCST90454199 | 15.33 |
| 148 | Takes medication for Glaucoma? | GCST90475384 | 15.25 |
| 149 | Heel broadband ultrasound attenuation (left) | Bone-densitometry of heel | UKBB00000319 | 15.24 |
| 150 | Myopia (PheCode 367.1) | GCST90475880 | 15.16 |
| 151 | A body shape index | GCST012231 | 15.14 |
| 152 | Gout (PheCode 274.1) | GCST90043662 | 15.09 |
| 153 | Hallux valgus (Bunion) (PheCode 735.3) | GCST90476251 | 15.05 |
| 154 | aparc-pial rh area inferiorparietal | GCST90003181 | 14.82 |
| 155 | CNTN1 levels | GCST90468803 | 14.79 |
| 156 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 68) | GCST90320631 | 14.75 |
| 157 | Bone density (confirmatory factor analysis Factor 19) | GCST90309353 | 14.73 |
| 158 | aparc-DKTatlas lh thickness postcentral | GCST90003560 | 14.73 |
| 159 | Autorefraction - 3mm strong meridian angle (left) | Eyesight | UKBB00000067 | 14.71 |
| 160 | Takes medication for Macular Degeneration? | GCST90475387 | 14.66 |
| 161 | Glaucoma (multi-trait analysis) | GCST009722 | 14.66 |
| 162 | AGRN/HSPG2 ratio | GCST90313201 | 14.62 |
| 163 | Waist circumference adjusted for body mass index | GCST012226 | 14.59 |
| 164 | SSC5D levels | GCST90470748 | 14.56 |
| 165 | IDP dMRI ProbtrackX MO str r | GCST90004024 | 14.35 |
| 166 | Umbilical hernia (PheCode 550.4) | GCST90476062 | 14.31 |
| 167 | Heel quantitative ultrasound index (QUI), direct entry | Bone-densitometry of heel | UKBB00000324 | 14.28 |
| 168 | Heel bone mineral density (BMD) T-score, automated | Bone-densitometry of heel | UKBB00000318 | 14.28 |
| 169 | Heel bone mineral density (BMD) | Bone-densitometry of heel | UKBB00000315 | 14.23 |
| 170 | SLITRK6 levels | GCST90470671 | 14.18 |
| 171 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T2 | ECGU000002 | 14.16 |
| 172 | CLMP/PIK3IP1 ratio | GCST90314134 | 14.05 |
| 173 | BA-exvivo lh area entorhinal | GCST90003220 | 14.03 |
| 174 | Intra-ocular pressure, corneal-compensated (right) | Intraocular pressure | UKBB00000375 | 13.82 |
| 175 | Height | GCST90278637 | 13.76 |
| 176 | aparc-Desikan lh thickness cuneus | GCST90003449 | 13.74 |
| 177 | Alzheimer's disease (MTAG) | GCST90449055 | 13.68 |
| 178 | Keloid | GCST90652488 | 13.67 |
| 179 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T8 | ECGU000008 | 13.67 |
| 180 | Fracture of forearm | GCST90281273 | 13.60 |
| 181 | FAP levels | GCST90469189 | 13.59 |
| 182 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 90) | GCST90320909 | 13.53 |
| 183 | Pelvic inlet width | GCST90448910 | 13.51 |
| 184 | Angina | GCST90468109 | 13.51 |
| 185 | CD69/CDKN2D ratio | GCST90313866 | 13.50 |
| 186 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 54) | GCST90320873 | 13.36 |
| 187 | aparc-DKTatlas lh thickness cuneus | GCST90003543 | 13.31 |
| 188 | Primary open angle glaucoma (PheCode 365.11) | GCST90475875 | 13.29 |
| 189 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 89) | GCST90320652 | 13.28 |
| 190 | SRPX levels | GCST90470744 | 13.27 |
| 191 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T6 | ECGU000006 | 13.25 |
| 192 | Heel bone mineral density | GCST006288 | 13.24 |
| 193 | T1 FreeSurfer DKT rh fusiform thickness | GCST90384322 | 13.20 |
| 194 | Female genital prolapse | FING00000535 | 13.12 |
| 195 | CCDC80/CCL27 ratio | GCST90313669 | 13.10 |
| 196 | Haemorrhoids and perianal venous thrombosis | FING00000599 | 13.10 |
| 197 | Glaucoma | GCST90475383 | 12.99 |
| 198 | SCARA5/TNC ratio | GCST90315810 | 12.99 |
| 199 | Appendicular lean mass | GCST90000027 | 12.90 |
| 200 | aparc-a2009s lh thickness G-cuneus | GCST90003613 | 12.90 |
| 201 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 77) | GCST90320896 | 12.89 |
| 202 | CCN3/FAP ratio | GCST90313721 | 12.86 |
| 203 | COL18A1 levels | GCST90468812 | 12.80 |
| 204 | Hand grip strength right (UKB data field 47) | GCST90468169 | 12.75 |
| 205 | Forced expiratory volume in 1-second (FEV1), predicted | Spirometry | UKBB00000252 | 12.66 |
| 206 | LGALS3 levels | GCST90179303 | 12.61 |
| 207 | Macular degeneration (senile) of retina NOS (PheCode 362.29) | GCST90475857 | 12.60 |
| 208 | DTI autoptx L2 str r tract | GCST90385190 | 12.54 |
| 209 | EIF4G1/TBC1D23 ratio | GCST90314639 | 12.51 |
| 210 | PILRA/TNFRSF1A ratio | GCST90315655 | 12.37 |
| 211 | DNAJA2/PLXNA4 ratio | GCST90314504 | 12.37 |
| 212 | MATN2 levels | GCST90469864 | 12.34 |
| 213 | CD200R1 levels | GCST90468605 | 12.29 |
| 214 | Glaucoma (primary open-angle) | GCST90399725 | 12.23 |
| 215 | Heel broadband ultrasound attenuation (right) | Bone-densitometry of heel | UKBB00000320 | 12.22 |
| 216 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T9 | ECGU000009 | 12.21 |
| 217 | BA-exvivo lh thickness BA2 | GCST90003514 | 12.13 |
| 218 | IGFBP6/SMOC2 ratio | GCST90315138 | 12.09 |
| 219 | Prescriptions - prostaglandin analog | UKBB00000697 | 12.00 |
| 220 | Aortic aneurysm (PheCode 442.1) | GCST90475993 | 11.99 |
| 221 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 58) | GCST90320621 | 11.98 |
| 222 | VCAN levels | GCST90471032 | 11.89 |
| 223 | Appendicular lean mass | GCST90000025 | 11.80 |
| 224 | wg lh intensity-contrast middletemporal | GCST90003806 | 11.73 |
| 225 | Serine levels | GCST90200415 | 11.58 |
| 226 | Glaucoma suspect | FING00000579 | 11.57 |
| 227 | Other specified and unspecified disorders of lens | FING00001101 | 11.55 |
| 228 | CDON/SCARA5 ratio | GCST90313995 | 11.55 |
| 229 | BA-exvivo lh volume entorhinal | GCST90002848 | 11.54 |
| 230 | IDP T1 FAST ROIs V cerebellum VIIIa | GCST90002579 | 11.53 |
| 231 | diastolic blood pressure (DBP, mean, inv-normal transformed) | GCST90475255 | 11.49 |
| 232 | Ankle spacing width (right) | Bone-densitometry of heel | UKBB00000034 | 11.47 |
| 233 | HSPG2/SMOC2 ratio | GCST90315093 | 11.46 |
| 234 | aparc-a2009s lh volume G-precentral | GCST90002953 | 11.44 |
| 235 | IDP dMRI TBSS L1 External capsule L | GCST90004108 | 11.42 |
| 236 | CTSO/IGF2R ratio | GCST90314317 | 11.41 |
| 237 | Diaphragmatic hernia (PheCode 550.2) | GCST90476061 | 11.37 |
| 238 | Diaphragmatic hernia | FING00000419 | 11.36 |
| 239 | Glaucoma | GCST90468129 | 11.33 |
| 240 | COL6A3/HSPG2 ratio | GCST90314175 | 11.32 |
| 241 | Volume of right accessory basal nucleus | GCST90475006 | 11.30 |
| 242 | AOC3 levels | GCST90468322 | 11.26 |
| 243 | Descending aorta distensibility | GCST90267386 | 11.22 |
| 244 | aparc-a2009s lh volume G-cuneus | GCST90002935 | 11.16 |
| 245 | RBP5 levels | GCST90470439 | 11.16 |
| 246 | IDP dMRI ProbtrackX FA unc r | GCST90003951 | 11.14 |
| 247 | EGFR levels | GCST90469085 | 11.13 |
| 248 | Appendicular lean mass | GCST90000026 | 11.08 |
| 249 | CASP1 levels | GCST90468543 | 11.07 |
| 250 | IDP dMRI TBSS MD External capsule L | GCST90004060 | 11.04 |
| 251 | Blood cell traits latent factor 21 (red cell) | GCST90559263 | 11.04 |
| 252 | Hypotaurine levels | GCST90200379 | 11.04 |
| 253 | Hip circumference adjusted for BMI | GCST90020028 | 11.01 |
| 254 | Body fat percentage (adjusted for testosterone and SHBG) | GCST90432179 | 11.01 |
| 255 | Medication use (antithrombotic agents) | GCST90018762 | 11.00 |
| 256 | DTI TBSS L1 External capsule R | GCST90384460 | 10.95 |
| 257 | IFIT2 levels | GCST90090864 | 10.94 |
| 258 | PLXDC1 levels | GCST90470263 | 10.92 |
| 259 | rfMRI connectivity (ICA100 edge 380) | GCST90005233 | 10.91 |
| 260 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T7 | ECGU000007 | 10.87 |
| 261 | aparc-a2009s rh volume S-central | GCST90003043 | 10.87 |
| 262 | Other aneurysm (PheCode 442) | GCST90475992 | 10.87 |
| 263 | Autorefraction - 3mm cylindrical power (left) | Eyesight | UKBB00000062 | 10.86 |
| 264 | aparc-DKTatlas lh thickness precentral | GCST90003562 | 10.83 |
| 265 | Hereditary deficiency of other clotting factors | FING00000612 | 10.83 |
| 266 | COL6A3/OGN ratio | GCST90314177 | 10.78 |
| 267 | Cerebrospinal fluid unidentified metabolite levels (HILIC Metabolomics ID: 3.04_132.06) | GCST90291582 | 10.78 |
| 268 | DTI autoptx FA str r tract | GCST90385136 | 10.72 |
| 269 | aparc-Desikan lh thickness precentral | GCST90003468 | 10.68 |
| 270 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 82) | GCST90320645 | 10.66 |
| 271 | Calcific aortic valvular stenosis, operated | FING00000234 | 10.66 |
| 272 | Intra-ocular pressure, corneal-compensated (left) | Intraocular pressure | UKBB00000374 | 10.65 |
| 273 | Contracture of palmar fascia [Dupuytren's disease] | musculoskeletal | UKBB00000146 | 10.64 |
| 274 | IDP dMRI TBSS L3 Cerebral peduncle R | GCST90004185 | 10.63 |
| 275 | Illnesses of father - Heart disease | Family history | UKBB00000342 | 10.60 |
| 276 | DTI autoptx L3 str r tract | GCST90385217 | 10.59 |
| 277 | height (mean, inv-normal transformed) | GCST90475362 | 10.50 |
| 278 | IDP dMRI ProbtrackX FA ilf l | GCST90003939 | 10.49 |
| 279 | FOXJ3 levels | GCST90469264 | 10.47 |
| 280 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 57) | GCST90320620 | 10.45 |
| 281 | Lung function (FVC) | GCST007429 | 10.39 |
| 282 | aparc-Desikan rh thickness paracentral | GCST90003495 | 10.38 |
| 283 | Perforation of tympanic membrane | FING00001155 | 10.37 |
| 284 | Deforming dorsopathies | FING00000385 | 10.36 |
| 285 | HSPG2 levels | GCST90179392 | 10.36 |
| 286 | VWF levels | GCST90471065 | 10.35 |
| 287 | Macular degeneration | GCST90475386 | 10.34 |
| 288 | aseg global volume WM-hypointensities | GCST90002604 | 10.33 |
| 289 | aparc-Desikan lh thickness GlobalMeanThickness | GCST90003445 | 10.31 |
| 290 | aparc-a2009s lh thickness G-precuneus | GCST90003632 | 10.30 |
| 291 | Occlusion and stenosis of precerebral arteries (PheCode 433.1) | GCST90475986 | 10.30 |
| 292 | height (minimum, inv-normal transformed) | GCST90475365 | 10.26 |
| 293 | IDP dMRI ProbtrackX MD cgh l | GCST90004225 | 10.23 |
| 294 | Height (maximum, inv-normal transformed) | GCST90475359 | 10.22 |
| 295 | Lung cancer | GCST90011812 | 10.21 |
| 296 | Ankle spacing width (left) | Bone-densitometry of heel | UKBB00000033 | 10.19 |
| 297 | BPIFB1/GLRX ratio | GCST90313530 | 10.19 |
| 298 | Cereal type - Oat cereal (e.g. Ready Brek, porridge) | Diet | UKBB00000124 | 10.15 |
| 299 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 37) | GCST90320856 | 10.10 |
| 300 | Operation code - varicose vein surgery | Operations | UKBB00000568 | 10.06 |
| 301 | IDP dMRI ProbtrackX L2 ilf l | GCST90004287 | 10.04 |
| 302 | aparc-DKTatlas rh thickness paracentral | GCST90003586 | 10.02 |
| 303 | Free testosterone levels | GCST90239826 | 10.02 |
| 304 | Height | GCST90018739 | 9.96 |
| 305 | Glaucoma | GCST90018632 | 9.96 |
| 306 | Umbilical hernia | digestive | UKBB00000880 | 9.96 |
| 307 | Hand grip strength left (UKB data field 46) | GCST90468168 | 9.94 |
| 308 | Umbilical hernia | Hernia | UKBB00000881 | 9.94 |
| 309 | Sitting height | Body size measures | UKBB00000771 | 9.94 |
| 310 | Forced vital capacity FVC Z score (UKB data field 20257) | GCST90468167 | 9.93 |
| 311 | IDP dMRI ProbtrackX L2 unc l | GCST90004298 | 9.92 |
| 312 | PSPN levels | GCST90470364 | 9.89 |
| 313 | COL4A1 levels | GCST90468818 | 9.88 |
| 314 | Levulinate 4-oxovalerate levels | GCST90243545 | 9.87 |
| 315 | Standing height | Body size measures | UKBB00000796 | 9.84 |
| 316 | Abdominal aortic aneurysm (PheCode 442.11) | GCST90475994 | 9.84 |
| 317 | Treatment speciality of consultant (recoded) - Ophthalmology | Summary Administration | UKBB00000835 | 9.83 |
| 318 | aparc-a2009s rh volume G-front-inf-Triangul | GCST90003012 | 9.82 |
| 319 | Diverticular disease of intestine | Other diseases of intestines | UKBB00000189 | 9.81 |
| 320 | Delta body mass index (difference between ECG-predicted and measured) | GCST90429062 | 9.78 |
| 321 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T1 | ECGU000001 | 9.77 |
| 322 | FOLH1 levels | GCST90427192 | 9.77 |
| 323 | Corneal dystrophy (PheCode 364.5) | GCST90475864 | 9.73 |
| 324 | Sleep apnea (MTAG) (adjusted for BMI) | GCST90267364 | 9.59 |
| 325 | BA-exvivo lh thickness BA4p | GCST90003518 | 9.58 |
| 326 | Coronary artery calcification | GCST90503074 | 9.57 |
| 327 | Pulse pressure (BMI adjusted) | GCST90335167 | 9.56 |
| 328 | IDP dMRI ProbtrackX MD ar l | GCST90004219 | 9.55 |
| 329 | Hypertrophy of breast | FING00000644 | 9.52 |
| 330 | Femur length to body height ratio | GCST90270256 | 9.52 |
| 331 | Benign neoplasm: Colon, unspecified | FING00000172 | 9.52 |
| 332 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 46) | GCST90320609 | 9.50 |
| 333 | Atherosclerosis of native arteries of the extremities with intermittent claudication (PheCode 440.22) | GCST90475991 | 9.48 |
| 334 | C7 levels | GCST90422332 | 9.48 |
| 335 | aparc-a2009s rh area Pole-occipital | GCST90003412 | 9.43 |
| 336 | Descending aorta strain | GCST90267389 | 9.42 |
| 337 | CDON levels | GCST90468687 | 9.41 |
| 338 | aparc-a2009s lh volume S-central | GCST90002969 | 9.39 |
| 339 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T28 | ECGA000028 | 9.38 |
| 340 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 11) | GCST90320574 | 9.37 |
| 341 | Retinal thickness (functional principal component 2) | GCST90455722 | 9.35 |
| 342 | wg lh intensity-contrast superiortemporal | GCST90003821 | 9.33 |
| 343 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 123) | GCST90320686 | 9.33 |
| 344 | What is your height? (cm, inv-normal transformed) | GCST90475368 | 9.32 |
| 345 | PTPRN2/RTBDN ratio | GCST90315754 | 9.29 |
| 346 | Corneal opacity and other disorders of cornea (PheCode 364) | GCST90475861 | 9.25 |
| 347 | Non-cancer illness code, self-reported - angina | Medical conditions | UKBB00000505 | 9.25 |
| 348 | MATN2/SCARA5 ratio | GCST90315388 | 9.24 |
| 349 | Hand grip strength (right) | Hand grip strength | UKBB00000301 | 9.21 |
| 350 | Heart rate variability traits (SDNN) | GCST004734 | 9.19 |
| 351 | Aortic aneurysm | FING00000102 | 9.18 |
| 352 | PTPRF/PTPRS ratio | GCST90315751 | 9.17 |
| 353 | DKKL1 levels | GCST90469000 | 9.16 |
| 354 | BA-exvivo rh thickness BA1 | GCST90003527 | 9.15 |
| 355 | COMP/MYOC ratio | GCST90314191 | 9.14 |
| 356 | Biological Sibling: Alzheimer's / Other Dementia | GCST90476375 | 9.14 |
| 357 | Age-related eyesight deterioration (confirmatory factor analysis Factor 27) | GCST90309361 | 9.10 |
| 358 | FST levels | GCST90469273 | 9.09 |
| 359 | IDP T1 FAST ROIs L caudate | GCST90002549 | 9.07 |
| 360 | Medication use (salicylic acid and derivatives) | GCST90018775 | 9.07 |
| 361 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 41) | GCST90320860 | 9.06 |
| 362 | IFIT3 levels | GCST90241571 | 9.06 |
| 363 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 64) | GCST90320883 | 9.02 |
| 364 | Heart attack | GCST90468132 | 9.01 |
| 365 | MAVS/PPP1R9B ratio | GCST90315393 | 9.00 |
| 366 | Intestinal infectious diseases | FING00000689 | 8.97 |
| 367 | systolic blood pressure (SBP, maximum, inv-normal transformed) | GCST90476400 | 8.93 |
| 368 | X-25371 levels | GCST90200656 | 8.92 |
| 369 | Total protein levels | GCST90025995 | 8.90 |
| 370 | POSTN levels | GCST90470288 | 8.89 |
| 371 | Operative procedures - Palmar fasciectomy | Summary Operations | UKBB00000586 | 8.89 |
| 372 | CCDC80/CHRDL1 ratio | GCST90313670 | 8.88 |
| 373 | BA-exvivo rh volume BA4p | GCST90002854 | 8.86 |
| 374 | Maximum carotid IMT (intima-medial thickness) at 240 degrees | Carotid ultrasound | UKBB00000429 | 8.85 |
| 375 | Operation code - haemorroidectomy / piles surgery/ banding of piles | Operations | UKBB00000557 | 8.83 |
| 376 | GGCT levels | GCST90469334 | 8.82 |
| 377 | Peritonsillar abscess | FING00001160 | 8.78 |
| 378 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 84) | GCST90320903 | 8.75 |
| 379 | BA-exvivo lh thickness BA1 | GCST90003513 | 8.75 |
| 380 | Right-hemisphere somatomotor network to thalamus white-matter structural connectivity | GCST90302794 | 8.74 |
| 381 | BA-exvivo lh thickness BA4a | GCST90003517 | 8.73 |
| 382 | Seated height | Body size measures | UKBB00000763 | 8.73 |
| 383 | HSPG2 levels | GCST90469491 | 8.69 |
| 384 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 51) | GCST90320614 | 8.68 |
| 385 | Torso length to body height ratio | GCST90270262 | 8.67 |
| 386 | Depression/anxiety (weighted GWA) | GCST90267277 | 8.66 |
| 387 | aparc-pial rh area lateraloccipital | GCST90003184 | 8.66 |
| 388 | Glaucoma (primary open-angle) | GCST90011768 | 8.66 |
| 389 | RFC4 levels | GCST90470460 | 8.60 |
| 390 | Macular puckering of retina (PheCode 362.26) | GCST90475854 | 8.59 |
| 391 | Pelvic organ prolapse | GCST90102470 | 8.54 |
| 392 | Low hand grip strength (60 years and older) (EWGSOP) | GCST90007526 | 8.53 |
| 393 | Osteoporosis | GCST90468145 | 8.53 |
| 394 | Diverticulosis and diverticulitis | digestive | UKBB00000191 | 8.51 |
| 395 | Disorders of muscle, ligament, and fascia | musculoskeletal | UKBB00000187 | 8.51 |
| 396 | FUT8/TNFSF14 ratio | GCST90314895 | 8.49 |
| 397 | ARF6 levels | GCST90468348 | 8.48 |
| 398 | Diverticulosis | digestive | UKBB00000190 | 8.46 |
| 399 | IDP dMRI TBSS L2 Sagittal stratum L | GCST90004154 | 8.46 |
| 400 | systolic blood pressure (SBP, mean, inv-normal transformed) | GCST90476403 | 8.45 |
| 401 | aparc-DKTatlas rh area lateraloccipital | GCST90003274 | 8.45 |
| 402 | Vascular/heart problems diagnosed by doctor - Angina | Medical conditions | UKBB00000896 | 8.45 |
| 403 | Maximum indexed left atrial volume | GCST90019012 | 8.44 |
| 404 | LGALS3 levels | GCST90469761 | 8.43 |
| 405 | Anterior thigh muscle fat infiltration percentage | GCST90267351 | 8.43 |
| 406 | Height | GCST90302890 | 8.43 |
| 407 | Snoring | GCST009761 | 8.41 |
| 408 | Coronary angioplasty | FING00000357 | 8.40 |
| 409 | CPM levels | GCST90240598 | 8.40 |
| 410 | aparc-DKTatlas lh area lingual | GCST90003245 | 8.38 |
| 411 | IDP dMRI ProbtrackX L3 ilf l | GCST90004314 | 8.38 |
| 412 | HEG1 levels | GCST90469444 | 8.36 |
| 413 | IDP dMRI ProbtrackX MD ilf l | GCST90004233 | 8.36 |
| 414 | aseg lh volume Putamen | GCST90002622 | 8.35 |
| 415 | Glaucoma | FING00000577 | 8.35 |
| 416 | Female genital prolapse | Noninflammatory disorders of female genital tract | UKBB00000244 | 8.33 |
| 417 | NPL levels | GCST90470072 | 8.33 |
| 418 | MCEE levels | GCST90469871 | 8.25 |
| 419 | FAP/LRRN1 ratio | GCST90314783 | 8.23 |
| 420 | Ganglion | FING00000563 | 8.22 |
| 421 | ANGPTL2 levels | GCST90468303 | 8.20 |
| 422 | aparc-a2009s lh area S-collat-transv-ant | GCST90003346 | 8.19 |
| 423 | aparc-Desikan lh area lingual | GCST90003085 | 8.19 |
| 424 | aparc-a2009s rh volume S-subparietal | GCST90003069 | 8.18 |
| 425 | Use of antiglaucoma preparations and miotics | FING00001409 | 8.15 |
| 426 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 39) | GCST90320858 | 8.14 |
| 427 | DTI TBSS FA Posterior corona radiata R | GCST90384406 | 8.13 |
| 428 | Indolelactate levels | GCST90243507 | 8.11 |
| 429 | Sphingomyelin_42:2_[M+H]1+ levels | GCST90060403 | 8.11 |
| 430 | Nonalcoholic fatty liver disease | GCST90054782 | 8.09 |
| 431 | ThalamNuclei rh volume CeM | GCST90002751 | 8.09 |
| 432 | Intraocular pressure | GCST004074 | 8.09 |
| 433 | Low hand grip strength (60 years and older) (EWGSOP) | GCST90007527 | 8.09 |
| 434 | AGRN/BTN2A1 ratio | GCST90313199 | 8.09 |
| 435 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 121) | GCST90320940 | 8.06 |
| 436 | GBP2 levels | GCST90469312 | 8.04 |
| 437 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 59) | GCST90320878 | 8.02 |
| 438 | GAPDH levels | GCST90469302 | 7.99 |
| 439 | Coronary artery plaque burden | GCST90503075 | 7.99 |
| 440 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 43) | GCST90320606 | 7.98 |
| 441 | aparc-Desikan lh volume precentral | GCST90002791 | 7.98 |
| 442 | Diverticulosis and diverticulitis (PheCode 562) | GCST90476073 | 7.98 |
| 443 | FSTL3/SPON2 ratio | GCST90314884 | 7.97 |
| 444 | PON1 levels | GCST90470285 | 7.96 |
| 445 | DTI TBSS L2 Posterior corona radiata L | GCST90384503 | 7.94 |
| 446 | MAMDC2 levels | GCST90469841 | 7.92 |
| 447 | IDP dMRI ProbtrackX L3 ilf r | GCST90004315 | 7.92 |
| 448 | 1-stearoyl-2-arachidonoyl-GPC (18:0/20:4) metabolite level | GCST90615670 | 7.92 |
| 449 | Total thigh muscle volume z-score | GCST90267356 | 7.90 |
| 450 | INHBB levels | GCST90469614 | 7.90 |
| 451 | Operative procedures - Insertion of prosthetic replacement for lens NEC | Summary Operations | UKBB00000583 | 7.87 |
| 452 | IDP T1 FAST ROIs L cuneal cortex | GCST90002513 | 7.86 |
| 453 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 75) | GCST90320894 | 7.86 |
| 454 | COLEC12/OGN ratio | GCST90314184 | 7.85 |
| 455 | Valine levels | GCST90243453 | 7.85 |
| 456 | NHLRC3 levels | GCST90470046 | 7.85 |
| 457 | IDP dMRI ProbtrackX L1 unc l | GCST90004271 | 7.84 |
| 458 | Coronary atherosclerosis (PheCode 411.4) | GCST90043957 | 7.82 |
| 459 | Standing height (UKB data field 50) | GCST90468178 | 7.81 |
| 460 | Biological Grandparent (paternal): Diabetes / Sugar | GCST90475549 | 7.80 |
| 461 | Glaucoma (primary open-angle) | GCST90011766 | 7.79 |
| 462 | Macular degeneration, dry (PheCode 362.21) | GCST90475851 | 7.79 |
| 463 | Illnesses of mother - None of the above (group 1) | Family history | UKBB00000349 | 7.77 |
| 464 | DTI autoptx MD unc l tract | GCST90385245 | 7.77 |
| 465 | Forearm length to body height ratio | GCST90270257 | 7.76 |
| 466 | Carotid intima-media thickness (MTAG) | GCST90449061 | 7.75 |
| 467 | Angina pectoris | GCST90018573 | 7.71 |
| 468 | ADGRB3 levels | GCST90468234 | 7.68 |
| 469 | COLEC12/TGFBR2 ratio | GCST90314186 | 7.68 |
| 470 | IDP dMRI ProbtrackX L3 ifo r | GCST90004313 | 7.67 |
| 471 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T27 | ECGA000027 | 7.67 |
| 472 | Vascular/heart problems diagnosed by doctor - Heart attack | Medical conditions | UKBB00000897 | 7.67 |
| 473 | IDP T1 FAST ROIs L intracalc cortex | GCST90002497 | 7.66 |
| 474 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 26) | GCST90320845 | 7.65 |
| 475 | DPP4/ITGB1 ratio | GCST90314540 | 7.64 |
| 476 | ITGB1 levels | GCST90469643 | 7.62 |
| 477 | TPM2 levels | GCST90243122 | 7.61 |
| 478 | Sulcal opening distance of the right calloso-marginal posterior fissure | GCST90104946 | 7.60 |
| 479 | IL1RL1 levels | GCST90241581 | 7.60 |
| 480 | Volume of right cortico-amygdaloid transition area | GCST90474913 | 7.59 |
| 481 | Angina pectoris | Ischaemic heart diseases | UKBB00000031 | 7.58 |
| 482 | Succinylcarnitine levels | GCST90243874 | 7.58 |
| 483 | IDP dMRI ProbtrackX L3 ifo l | GCST90004312 | 7.58 |
| 484 | Left hippocampal volume (tail) | GCST90267951 | 7.57 |
| 485 | CTSD/PRCP ratio | GCST90314312 | 7.56 |
| 486 | BA-exvivo lh volume BA3a | GCST90002837 | 7.56 |
| 487 | Operation code - coronary artery bypass grafts (cabg) | Operations | UKBB00000556 | 7.55 |
| 488 | Anterior thigh muscle volume | GCST90267349 | 7.52 |
| 489 | Diverticulosis (PheCode 562.1) | GCST90476076 | 7.52 |
| 490 | wg rh intensity-contrast parstriangularis | GCST90003846 | 7.51 |
| 491 | aparc-Desikan rh area lateraloccipital | GCST90003117 | 7.51 |
| 492 | N-acetyl-2-aminoadipate levels | GCST90200268 | 7.50 |
| 493 | Progressive vascular leukoencephalopathy | FING00001218 | 7.48 |
| 494 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 126) | GCST90320689 | 7.48 |
| 495 | Illnesses of siblings - Heart disease | Family history | UKBB00000351 | 7.48 |
| 496 | Systolic blood pressure | GCST90301697 | 7.48 |
| 497 | aparc-a2009s lh thickness S-postcentral | GCST90003669 | 7.46 |
| 498 | Intracerebral hemorrhage | GCST90018650 | 7.45 |
| 499 | Free androgen index | GCST90239824 | 7.44 |
| 500 | Forced vital capacity (FVC) | Spirometry | UKBB00000254 | 7.42 |
| 501 | Acetate levels | GCST90092803 | 7.42 |
| 502 | Operation code - squint correction | Operations | UKBB00000566 | 7.41 |
| 503 | Retinal arteriolar width | GCST90270398 | 7.41 |
| 504 | Mean volume of bilateral amygdala | GCST90474994 | 7.39 |
| 505 | Hand grip strength (baseline) | GCST90565845 | 7.36 |
| 506 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 122) | GCST90320941 | 7.33 |
| 507 | Endometriosis | GCST90018619 | 7.31 |
| 508 | Heart failure and coronary heart disease | FING00000604 | 7.30 |
| 509 | HRC levels | GCST90469475 | 7.27 |
| 510 | LAMA4 levels | GCST90469731 | 7.27 |
| 511 | aparc-Desikan lh volume cuneus | GCST90002772 | 7.24 |
| 512 | Major coronary heart disease event | FING00000746 | 7.24 |
| 513 | Acquired absence of organs, not elsewhere classified | Persons with potential health hazards related to family and personal history and certain conditions influencing health status | UKBB00000005 | 7.23 |
| 514 | ANGPTL7 levels | GCST90468306 | 7.23 |
| 515 | 1-palmitoyl-2-arachidonoyl-gpc (16:0/20:4n6) levels | GCST90200692 | 7.23 |
| 516 | Coronary artery / coronary heart disease (including heart attack, angina) | GCST90475198 | 7.21 |
| 517 | aparc-DKTatlas lh volume precentral | GCST90002884 | 7.21 |
| 518 | PTPRH levels | GCST90470382 | 7.20 |
| 519 | RAD23B levels | GCST90470418 | 7.19 |
| 520 | CCL22/TIMP3 ratio | GCST90313693 | 7.18 |
| 521 | Volume of left paralaminar nucleus | GCST90474982 | 7.17 |
| 522 | SMOC1 levels | GCST90470682 | 7.16 |
| 523 | ESAM/LAMA4 ratio | GCST90314713 | 7.16 |
| 524 | TNN levels | GCST90470927 | 7.15 |
| 525 | CHL1 levels | GCST90468745 | 7.15 |
| 526 | HGF/TNFSF14 ratio | GCST90315060 | 7.15 |
| 527 | wg lh intensity-contrast caudalmiddlefrontal | GCST90003795 | 7.14 |
| 528 | Mean carotid IMT (intima-medial thickness) at 240 degrees | Carotid ultrasound | UKBB00000446 | 7.14 |
| 529 | Fibroblastic disorders | Other soft tissue disorders | UKBB00000246 | 7.14 |
| 530 | CD164/PARK7 ratio | GCST90313743 | 7.12 |
| 531 | aparc-DKTatlas lh volume cuneus | GCST90002865 | 7.11 |
| 532 | CCN3 levels | GCST90468589 | 7.10 |
| 533 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T33 | ECGA000033 | 7.10 |
| 534 | CD109 levels | GCST90468597 | 7.10 |
| 535 | CKAP2 levels | GCST90240866 | 7.10 |
| 536 | Takes medication for coronary artery/ coronary heart disease? | GCST90475199 | 7.10 |
| 537 | IDP dMRI TBSS OD Superior fronto-occipital fasciculus L | GCST90004445 | 7.09 |
| 538 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T29 | ECGA000029 | 7.08 |
| 539 | IDP T1 FAST ROIs R caudate | GCST90002550 | 7.06 |
| 540 | Degeneration of macula and posterior pole of retina (PheCode 362.2) | GCST90475849 | 7.04 |
| 541 | Triacylglycerol_46:4_[M+NH4]1+ levels | GCST90060362 | 7.04 |
| 542 | Eye autorefraction and astigmatism (confirmatory factor analysis Factor 24) | GCST90309358 | 7.02 |
| 543 | ITGAM/ITGAV ratio | GCST90315209 | 7.02 |
| 544 | ESR1 levels | GCST90469155 | 7.00 |
| 545 | COL6A3/TAFA5 ratio | GCST90314180 | 7.00 |
| 546 | Microvirga abundance in stool | GCST90032479 | 6.99 |
| 547 | RET levels | GCST90470458 | 6.98 |
| 548 | Height (baseline) | GCST90565843 | 6.98 |
| 549 | Prolapse of vaginal walls | genitourinary | UKBB00000712 | 6.97 |
| 550 | IDP dMRI TBSS MD Superior fronto-occipital fasciculus L | GCST90004070 | 6.96 |
| 551 | aparc-a2009s lh area G-cuneus | GCST90003307 | 6.96 |
| 552 | ERBB3 levels | GCST90469140 | 6.94 |
| 553 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 60) | GCST90320623 | 6.93 |
| 554 | Hair/balding pattern: Pattern 4 (UKB data field 2395_4) | GCST90043619 | 6.92 |
| 555 | IDP dMRI TBSS MD Superior fronto-occipital fasciculus R | GCST90004069 | 6.89 |
| 556 | BA-exvivo lh thickness BA3b | GCST90003516 | 6.89 |
| 557 | Pulse pressure (BMI unadjusted) | GCST90335166 | 6.88 |
| 558 | Angina pectoris | circulatory system | UKBB00000030 | 6.87 |
| 559 | CLMP/TGFBR2 ratio | GCST90314135 | 6.85 |
| 560 | IDP dMRI ProbtrackX MD ilf r | GCST90004234 | 6.84 |
| 561 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 72) | GCST90320891 | 6.83 |
| 562 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T32 | ECGA000032 | 6.83 |
| 563 | 4-hydroxyglutamate levels | GCST90199890 | 6.83 |
| 564 | Primary angle-closure glaucoma (PheCode 365.2) | GCST90475876 | 6.80 |
| 565 | CCN1/DNAJB1 ratio | GCST90313709 | 6.79 |
| 566 | Main speciality of consultant (recoded) - Ophthalmology | Summary Administration | UKBB00000419 | 6.77 |
| 567 | ENG levels | GCST90469108 | 6.76 |
| 568 | FUS levels | GCST90469278 | 6.76 |
| 569 | CX3CL1 levels | GCST90012074 | 6.75 |
| 570 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 62) | GCST90320625 | 6.74 |
| 571 | LAMB1 levels | GCST90469732 | 6.74 |
| 572 | CD70 levels | GCST90468645 | 6.72 |
| 573 | IDP dMRI TBSS L3 Fornix | GCST90004176 | 6.72 |
| 574 | TNFRSF14/TNFSF14 ratio | GCST90315936 | 6.71 |
| 575 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 128) | GCST90320691 | 6.70 |
| 576 | Retinal detachments and defects | sense organs | UKBB00000756 | 6.69 |
| 577 | DTI TBSS MD Retrolenticular part of internal capsule L | GCST90384593 | 6.69 |
| 578 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 91) | GCST90320654 | 6.69 |
| 579 | IDP dMRI TBSS L1 Fornix | GCST90004080 | 6.66 |
| 580 | Fasciitis | musculoskeletal | UKBB00000239 | 6.65 |
| 581 | Heart valve replaced (PheCode 395.6) | GCST90475915 | 6.65 |
| 582 | Polycythemia, secondary (PheCode 289.8) | GCST90475822 | 6.65 |
| 583 | Acute appendicitis | FING00000017 | 6.65 |
| 584 | CCL8 levels | GCST90422346 | 6.64 |
| 585 | End-diastolic bi-ventricular shape (principal component 4) | GCST90448483 | 6.64 |
| 586 | Takes medication for heart attack? | GCST90475212 | 6.63 |
| 587 | QC T1-to-standard nonlinear alignment discrepancy | GCST90006346 | 6.63 |
| 588 | CD69/TXNDC5 ratio | GCST90313889 | 6.62 |
| 589 | Volume of right accessory basal nucleus | GCST90474907 | 6.61 |
| 590 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T10 | ECGU000010 | 6.61 |
| 591 | IDP T1 FIRST left putamen volume | GCST90002440 | 6.59 |
| 592 | IDP dMRI ProbtrackX L2 atr l | GCST90004275 | 6.59 |
| 593 | IDP dMRI TBSS L3 External capsule L | GCST90004204 | 6.58 |
| 594 | Non-cancer illness code, self-reported - heart attack/myocardial infarction | Medical conditions | UKBB00000514 | 6.58 |
| 595 | ADAMTSL2 levels | GCST90468228 | 6.58 |
| 596 | aparc-Desikan lh thickness precuneus | GCST90003469 | 6.57 |
| 597 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T38 | ECGU000038 | 6.56 |
| 598 | Unstable angina pectoris | GCST90018712 | 6.56 |
| 599 | LTBP2 levels | GCST90469814 | 6.55 |
| 600 | IDP dMRI TBSS MD External capsule R | GCST90004059 | 6.53 |
| 601 | CCL27 levels | GCST90468579 | 6.51 |
| 602 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 114) | GCST90320677 | 6.50 |
| 603 | Hallux valgus (Bunion) | musculoskeletal | UKBB00000299 | 6.49 |
| 604 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T36 | ECGU000036 | 6.48 |
| 605 | Fibromuscular dysplasia | GCST90026612 | 6.47 |
| 606 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T37 | ECGU000037 | 6.47 |
| 607 | DTI TBSS L2 Retrolenticular part of internal capsule L | GCST90384497 | 6.47 |
| 608 | IDP dMRI ProbtrackX L2 ifo l | GCST90004285 | 6.46 |
| 609 | Other disorders of eyelids (PheCode 374) | GCST90475890 | 6.45 |
| 610 | DTI TBSS MD Cingulum hippocampus R | GCST90384608 | 6.45 |
| 611 | PSAP levels | GCST90426586 | 6.43 |
| 612 | Comparative height size at age 10 | Early life factors | UKBB00000143 | 6.42 |
| 613 | Illnesses of father - None of the above (group 1) | Family history | UKBB00000345 | 6.41 |
| 614 | Drusen (degenerative) of retina (PheCode 362.27) | GCST90475855 | 6.41 |
| 615 | Prescriptions - losartan | angiotensin receptor blocker,anti-hypertensive,ARB | UKBB00000690 | 6.39 |
| 616 | aparc-DKTatlas rh area cuneus | GCST90003268 | 6.39 |
| 617 | Genital prolapse | genitourinary | UKBB00000282 | 6.38 |
| 618 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 76) | GCST90320895 | 6.38 |
| 619 | INHBC levels | GCST90469615 | 6.36 |
| 620 | Height, inverse-rank normalized | FING00000607 | 6.36 |
| 621 | Diverticular disease of intestine | FING00000471 | 6.36 |
| 622 | ADGRD1 levels | GCST90468235 | 6.36 |
| 623 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 41) | GCST90320604 | 6.35 |
| 624 | Spinal stenosis (PheCode 720) | GCST90476233 | 6.35 |
| 625 | Hydrocele | FING00000627 | 6.33 |
| 626 | LTB4R levels | GCST90422164 | 6.32 |
| 627 | IDP dMRI TBSS L1 External capsule R | GCST90004107 | 6.32 |
| 628 | BCAT1 levels | GCST90468427 | 6.31 |
| 629 | IDP dMRI TBSS L3 External capsule R | GCST90004203 | 6.31 |
| 630 | Polyunsaturated fatty acids to saturated fatty acids ratio | GCST90502593 | 6.31 |
| 631 | CD40LG/TNFSF14 ratio | GCST90313827 | 6.30 |
| 632 | CHCHD6 levels | GCST90468739 | 6.29 |
| 633 | SCARF2 levels | GCST90470537 | 6.29 |
| 634 | Synovitis and tenosynovitis (PheCode 727.1) | GCST90476242 | 6.28 |
| 635 | Left-hemisphere default mode network to right-hemisphere visual network white-matter structural connectivity | GCST90302760 | 6.27 |
| 636 | wg rh intensity-contrast parahippocampal | GCST90003842 | 6.27 |
| 637 | Pulse wave reflection index | Arterial stiffness | UKBB00000726 | 6.27 |
| 638 | DTI TBSS L3 Retrolenticular part of internal capsule L | GCST90384545 | 6.26 |
| 639 | Operation code - carpal tunnel surgery | Operations | UKBB00000553 | 6.25 |
| 640 | PATE4 levels | GCST90242405 | 6.24 |
| 641 | Mean carotid IMT (intima-medial thickness) at 210 degrees | Carotid ultrasound | UKBB00000445 | 6.24 |
| 642 | FCRL2/TNFRSF13B ratio | GCST90314801 | 6.22 |
| 643 | heart rate (HR, minimum, inv-normal transformed) | GCST90476341 | 6.21 |
| 644 | PAMR1 levels | GCST90470155 | 6.21 |
| 645 | aparc-a2009s rh area S-subparietal | GCST90003441 | 6.20 |
| 646 | ICD10 N81: Female genital prolapse | GCST90454214 | 6.19 |
| 647 | COMP/DPP4 ratio | GCST90314188 | 6.19 |
| 648 | aparc-DKTatlas rh volume lateraloccipital | GCST90002902 | 6.18 |
| 649 | SCAMP3/VPS53 ratio | GCST90315807 | 6.17 |
| 650 | BA-exvivo rh volume BA3a | GCST90002851 | 6.17 |
| 651 | NCAM2 levels | GCST90470004 | 6.17 |
| 652 | DAB2/TBL1X ratio | GCST90314368 | 6.16 |
| 653 | Umbilical hernia | FING00001395 | 6.13 |
| 654 | REG4/SPINK4 ratio | GCST90315766 | 6.12 |
| 655 | Docosahexaenoic acid to total fatty acids percentage (UKB data field 23457) | GCST90269554 | 6.12 |
| 656 | APOM/MCAM ratio | GCST90313315 | 6.10 |
| 657 | IDP dMRI TBSS MD Retrolenticular part of internal capsule L | GCST90004048 | 6.10 |
| 658 | DTI TBSS L3 Superior corona radiata R | GCST90384548 | 6.09 |
| 659 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 34) | GCST90320597 | 6.09 |
| 660 | IDP dMRI TBSS MD Cingulum cingulate gyrus L | GCST90004062 | 6.09 |
| 661 | NIT1 levels | GCST90470050 | 6.08 |
| 662 | Hand grip strength (left) | Hand grip strength | UKBB00000300 | 6.08 |
| 663 | PARK7/TNFRSF9 ratio | GCST90315599 | 6.08 |
| 664 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 57) | GCST90320876 | 6.06 |
| 665 | Operation code - inguinal hernia repair | Operations | UKBB00000560 | 6.06 |
| 666 | Abdominal aortic aneurysm (AAA) | FING00000001 | 6.04 |
| 667 | Stroke, excluding SAH | FING00001337 | 6.03 |
| 668 | IDP dMRI TBSS MD Fornix | GCST90004032 | 6.03 |
| 669 | Ascending aorta strain | GCST90267388 | 6.03 |
| 670 | ALB levels | GCST90475103 | 6.03 |
| 671 | Hypertrophy of breast in women and men | FING00000645 | 6.02 |
| 672 | aparc-DKTatlas lh thickness precuneus | GCST90003563 | 6.02 |
| 673 | Nonrheumatic aortic valve disorders (PheCode 395.2) | GCST90475914 | 6.02 |
| 674 | CDHR2 levels | GCST90468679 | 6.01 |
| 675 | Total body bone mineral density (age 45-60) | GCST005350 | 6.00 |
| 676 | aparc-Desikan rh volume lateraloccipital | GCST90002811 | 6.00 |
| 677 | Kyphosis (MTAG) | GCST90570047 | 5.99 |
| 678 | wg rh intensity-contrast entorhinal | GCST90003832 | 5.99 |
| 679 | Spinal stenosis of lumbar region (PheCode 720.1) | GCST90476234 | 5.98 |
| 680 | Acquired foot deformities (PheCode 735) | GCST90476247 | 5.98 |
| 681 | Systolic blood pressure (weighted GWA) | GCST90267305 | 5.97 |
| 682 | aseg global volume EstimatedTotalIntraCranial | GCST90002597 | 5.95 |
| 683 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 97) | GCST90320916 | 5.94 |
| 684 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 2) | GCST90320821 | 5.94 |
| 685 | Lung function (FEV1/FVC) | GCST007431 | 5.92 |
| 686 | Other predominantly sexually transmitted diseases, not elsewhere classified | FING00001089 | 5.92 |
| 687 | Bone marrow fat fraction of left proximal femur | GCST90652392 | 5.90 |
| 688 | rfMRI connectivity ICA-features 4 | GCST90006342 | 5.90 |
| 689 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T30 | ECGA000030 | 5.89 |
| 690 | X-12411 levels | GCST90200492 | 5.89 |
| 691 | Body size (confirmatory factor analysis Factor 21) | GCST90309355 | 5.89 |
| 692 | Volume of right basal nucleus | GCST90475012 | 5.89 |
| 693 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T31 | ECGA000031 | 5.88 |
| 694 | wg rh intensity-contrast temporalpole | GCST90003859 | 5.88 |
| 695 | Ganglion and cyst of synovium, tendon, and bursa (PheCode 727.4) | GCST90476243 | 5.87 |
| 696 | ADAM9 levels | GCST90468221 | 5.86 |
| 697 | FEV1 FVC ratio Z score (UKB data field 20258) | GCST90468165 | 5.86 |
| 698 | Left-hemisphere somatomotor network to thalamus white-matter structural connectivity | GCST90302682 | 5.85 |
| 699 | VIT levels | GCST90471041 | 5.85 |
| 700 | ST6GALNAC2 levels | GCST90240251 | 5.85 |
| 701 | CST6/NECTIN4 ratio | GCST90314303 | 5.85 |
| 702 | Heart attack | GCST90475211 | 5.85 |
| 703 | Barrett's esophagus | GCST003738 | 5.84 |
| 704 | Polyunsaturated fatty acids to saturated fatty acids ratio | GCST90502166 | 5.84 |
| 705 | Ventral hernia | FING00001428 | 5.84 |
| 706 | DNAJA2/FIS1 ratio | GCST90314501 | 5.83 |
| 707 | Operative procedures - Anastomosis of mammary artery to left anterior descending coronary artery | Summary Operations | UKBB00000571 | 5.83 |
| 708 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T230 | ECGA000230 | 5.81 |
| 709 | Systolic blood pressure, combined automated + manual reading | Cardiovascular measurement | UKBB00000807 | 5.81 |
| 710 | Lymphoplasmacytic lymphoma and Waldenstrom macroglobulinemia | GCST90624744 | 5.81 |
| 711 | FAP/THBS4 ratio | GCST90314785 | 5.80 |
| 712 | Benign neoplasm: Adrenal gland | FING00000164 | 5.80 |
| 713 | Volume of left basal nucleus | GCST90474946 | 5.80 |
| 714 | Other disorders of testis (PheCode 603) | GCST90476156 | 5.80 |
| 715 | Maximum carotid IMT (intima-medial thickness) at 210 degrees | Carotid ultrasound | UKBB00000428 | 5.78 |
| 716 | CST3/TFF3 ratio | GCST90314299 | 5.77 |
| 717 | Tetradecadienedioate (C14:2-DC) metabolite level | GCST90616275 | 5.77 |
| 718 | Volume of right cortico-amygdaloid transition area | GCST90475018 | 5.77 |
| 719 | SERPING1 levels | GCST90470600 | 5.77 |
| 720 | TSPAN8 levels | GCST90470980 | 5.76 |
| 721 | TDRKH levels | GCST90470827 | 5.75 |
| 722 | Hernia of abdominal wall | FING00000617 | 5.74 |
| 723 | Deep bite | FING00000380 | 5.73 |
| 724 | MSMB levels | GCST90469949 | 5.72 |
| 725 | Systolic blood pressure, combined automated + manual reading | Cardiovascular measurement | UKBB00000806 | 5.70 |
| 726 | Rotator cuff injury | GCST90044700 | 5.70 |
| 727 | DDHD2 levels | GCST90468968 | 5.70 |
| 728 | PRELP levels | GCST90470321 | 5.68 |
| 729 | METAP2 levels | GCST90469894 | 5.68 |
| 730 | Valvular heart disease excluding rheumatic fever | FING00001414 | 5.68 |
| 731 | aparc-Desikan lh area cuneus | GCST90003077 | 5.68 |
| 732 | Pelvic height | GCST90448912 | 5.68 |
| 733 | Acute myocardial infarction | Ischaemic heart diseases | UKBB00000011 | 5.67 |
| 734 | rfMRI amplitudes (ICA100 node 40) | GCST90004628 | 5.67 |
| 735 | Blepharochalasis | FING00000220 | 5.67 |
| 736 | Fractures | GCST006980 | 5.66 |
| 737 | BA-exvivo rh thickness BA2 | GCST90003528 | 5.65 |
| 738 | Nerve, nerve root and plexus disorders | FING00000862 | 5.65 |
| 739 | Knee extension strength | GCST90319502 | 5.64 |
| 740 | IDP dMRI ProbtrackX L2 ilf r | GCST90004288 | 5.63 |
| 741 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 40) | GCST90320859 | 5.62 |
| 742 | Glucose levels | GCST90132724 | 5.62 |
| 743 | Endometriosis of ovary | FING00000501 | 5.59 |
| 744 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 47) | GCST90320866 | 5.59 |
| 745 | aparc-DKTatlas rh area lingual | GCST90003276 | 5.58 |
| 746 | Coronary atherosclerosis | circulatory system | UKBB00000152 | 5.58 |
| 747 | wg rh intensity-contrast caudalmiddlefrontal | GCST90003830 | 5.57 |
| 748 | IDP dMRI ProbtrackX MD atr l | GCST90004221 | 5.56 |
| 749 | Bone density T-score | GCST90278620 | 5.56 |
| 750 | Urinary ethanolamine to urinary creatinine ratio | GCST90451717 | 5.55 |
| 751 | DTI TBSS L3 Superior corona radiata L | GCST90384549 | 5.55 |
| 752 | DNAJC9 levels | GCST90469018 | 5.54 |
| 753 | Autorefraction - 3mm strong meridian angle (right) | Eyesight | UKBB00000068 | 5.54 |
| 754 | BA-exvivo lh volume BA6 | GCST90002841 | 5.54 |
| 755 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T42 | ECGU000042 | 5.53 |
| 756 | Cardiovascular delta age (difference between cardiac MRI-predicted and chronological age) | GCST90239748 | 5.53 |
| 757 | Cataract | sense organs | UKBB00000120 | 5.53 |
| 758 | Systolic blood pressure (standard GWA) | GCST90267304 | 5.53 |
| 759 | Systolic blood pressure | GCST90301695 | 5.52 |
| 760 | GSTA4 levels | GCST90241283 | 5.52 |
| 761 | Height (standard GWA) | GCST90267284 | 5.52 |
| 762 | BA-exvivo lh area V2 | GCST90003217 | 5.52 |
| 763 | IDP dMRI TBSS MD Retrolenticular part of internal capsule R | GCST90004047 | 5.52 |
| 764 | Thoracic aortic aneurysm | FING00001357 | 5.51 |
| 765 | Diaphragmatic hernia | digestive | UKBB00000171 | 5.51 |
| 766 | aparc-a2009s rh area S-orbital-H-Shaped | GCST90003434 | 5.51 |
| 767 | Solitary pulmonary nodule (PheCode 514.2) | GCST90476044 | 5.51 |
| 768 | MXRA8 levels | GCST90469968 | 5.49 |
| 769 | DTI TBSS L2 Posterior corona radiata R | GCST90384502 | 5.48 |
| 770 | APOF levels | GCST90468339 | 5.48 |
| 771 | IDP dMRI TBSS L1 Superior fronto-occipital fasciculus R | GCST90004117 | 5.48 |
| 772 | FUT8/VEGFC ratio | GCST90314896 | 5.47 |
| 773 | Triacylglycerol (52:4) [NL-16:0] levels | GCST90025170 | 5.46 |
| 774 | Unstable angina pectoris | FING00001405 | 5.46 |
| 775 | aparc-DKTatlas lh area entorhinal | GCST90003238 | 5.46 |
| 776 | Systolic blood pressure | GCST90472782 | 5.45 |
| 777 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T43 | ECGU000043 | 5.45 |
| 778 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T404 | ECGA000404 | 5.44 |
| 779 | Minimum carotid IMT (intima-medial thickness) at 210 degrees | Carotid ultrasound | UKBB00000477 | 5.44 |
| 780 | X-17676 levels | GCST90200548 | 5.43 |
| 781 | Left-hemisphere salience/ventral attention network to thalamus white-matter structural connectivity | GCST90302719 | 5.42 |
| 782 | L1CAM levels | GCST90469723 | 5.42 |
| 783 | PLXDC2 levels | GCST90470264 | 5.42 |
| 784 | Eye problems/disorders - None of the above | Eyesight | UKBB00000232 | 5.41 |
| 785 | Urine glucuronide of C10H18O2 (12)* levels in chronic kidney disease | GCST90265189 | 5.41 |
| 786 | Triacylglycerol_53:5_[M+NH4]1+ levels | GCST90060520 | 5.40 |
| 787 | Contracture of palmar fascia [Dupuytren's disease] (PheCode 728.71) | GCST90476245 | 5.40 |
| 788 | Other cataract | Disorders of lens | UKBB00000602 | 5.40 |
| 789 | Angina pectoris (PheCode 411.3) | GCST90475933 | 5.39 |
| 790 | ALB levels | GCST90475106 | 5.39 |
| 791 | GFRAL levels | GCST90469331 | 5.38 |
| 792 | Left-hemisphere salience/ventral attention network to right-hemisphere salience/ventral attention network white-matter structural connectivity | GCST90302715 | 5.38 |
| 793 | End-diastolic bi-ventricular shape (principal component 5) | GCST90448484 | 5.37 |
| 794 | IDP dMRI ProbtrackX L1 ptr l | GCST90004265 | 5.37 |
| 795 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T403 | ECGA000403 | 5.37 |
| 796 | Systolic blood pressure, automated reading | Blood pressure | UKBB00000803 | 5.36 |
| 797 | EFEMP1/TGFBR3 ratio | GCST90314597 | 5.36 |
| 798 | Acute appendicitis, no complications | FING00000018 | 5.36 |
| 799 | PECAM1/SOD2 ratio | GCST90315647 | 5.34 |
| 800 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T416 | ECGA000416 | 5.34 |
| 801 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 68) | GCST90320887 | 5.34 |
| 802 | NPY/SMOC1 ratio | GCST90315551 | 5.33 |
| 803 | LAMP1 levels | GCST90469733 | 5.32 |
| 804 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T26 | ECGA000026 | 5.32 |
| 805 | Follicular cysts of skin and subcutaneous tissue | FING00000547 | 5.31 |
| 806 | Bioavailable testosterone levels | GCST90012104 | 5.31 |
| 807 | Disorders of choroid and retina | FING00000438 | 5.31 |
| 808 | PFDN5 levels | GCST90242340 | 5.31 |
| 809 | Myocardial infarction | circulatory system | UKBB00000491 | 5.31 |
| 810 | QC rfMRI-to-T1 linear alignment discrepancy | GCST90006353 | 5.30 |
| 811 | LILRB4 levels | GCST90426708 | 5.30 |
| 812 | Palmar fascial fibromatosis [Dupuytren] | FING00001141 | 5.29 |
| 813 | IDP T1 FAST ROIs L front operc cortex | GCST90002531 | 5.29 |
| 814 | Myocardial infarction, strict | FING00000852 | 5.27 |
| 815 | BA-exvivo rh area V1 | GCST90003230 | 5.26 |
| 816 | VSNL1 levels | GCST90471054 | 5.26 |
| 817 | HAMP levels | GCST90451683 | 5.26 |
| 818 | CHRDL1/SMOC2 ratio | GCST90314062 | 5.26 |
| 819 | PKD1 levels | GCST90470240 | 5.26 |
| 820 | CD59/SCARB2 ratio | GCST90313859 | 5.25 |
| 821 | DPP6/SEZ6L2 ratio | GCST90314543 | 5.25 |
| 822 | Coronary revascularization (ANGIO or CABG) | FING00000360 | 5.24 |
| 823 | ICAM2 levels | GCST90469499 | 5.23 |
| 824 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T407 | ECGA000407 | 5.23 |
| 825 | CD59/CST6 ratio | GCST90313857 | 5.23 |
| 826 | ACYP1 levels | GCST90468214 | 5.21 |
| 827 | PPP2R2A levels | GCST90618122 | 5.20 |
| 828 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 52) | GCST90320871 | 5.20 |
| 829 | Stable angina pectoris | GCST90018695 | 5.20 |
| 830 | Other diseases of intestines | FING00001001 | 5.20 |
| 831 | NCS1/NPY ratio | GCST90315527 | 5.19 |
| 832 | X-24337 levels | GCST90200629 | 5.18 |
| 833 | Atherosclerosis of the extremities (PheCode 440.2) | GCST90475990 | 5.18 |
| 834 | OMD levels | GCST90470123 | 5.17 |
| 835 | aparc-Desikan rh area lingual | GCST90003119 | 5.16 |
| 836 | CD34 levels | GCST90468626 | 5.16 |
| 837 | Left ventricular end diastolic mass end diastolic volume ratio | GCST90268131 | 5.15 |
| 838 | DTI autoptx L2 unc l tract | GCST90385191 | 5.15 |
| 839 | Other chronic ischemic heart disease, unspecified (PheCode 411.8) | GCST90475938 | 5.15 |
| 840 | IDP dMRI TBSS OD Fornix | GCST90004407 | 5.15 |
| 841 | IDP dMRI ProbtrackX L2 ifo r | GCST90004286 | 5.14 |
| 842 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 16) | GCST90320579 | 5.14 |
| 843 | IDP dMRI ProbtrackX ISOVF fma | GCST90004535 | 5.14 |
| 844 | C-reactive protein levels (CRP.4337.49.2) | GCST90240503 | 5.13 |
| 845 | COL24A1 levels | GCST90468814 | 5.13 |
| 846 | Coronary artery disease (confirmatory factor analysis Factor 16) | GCST90309350 | 5.13 |
| 847 | APOM levels | GCST90468342 | 5.13 |
| 848 | IDP dMRI TBSS L2 Cingulum hippocampus R | GCST90004159 | 5.12 |
| 849 | ROBO1/SPON1 ratio | GCST90315783 | 5.12 |
| 850 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T409 | ECGA000409 | 5.11 |
| 851 | aparc-Desikan lh volume lateraloccipital | GCST90002778 | 5.10 |
| 852 | Volume of right basal nucleus | GCST90474910 | 5.10 |
| 853 | Prescriptions - angiotensin receptor blocker|anti-hypertensive|ARB | UKBB00000662 | 5.09 |
| 854 | APP/FKBP1B ratio | GCST90313323 | 5.09 |
| 855 | heart rate (HR, mean, inv-normal transformed) | GCST90476338 | 5.09 |
| 856 | MOG/RTBDN ratio | GCST90315476 | 5.08 |
| 857 | SFRP2 levels | GCST90242727 | 5.08 |
| 858 | IDP dMRI TBSS L2 Cerebral peduncle R | GCST90004137 | 5.07 |
| 859 | Coronary atherosclerosis (PheCode 411.4) | GCST90475936 | 5.07 |
| 860 | FN1 levels | GCST90469255 | 5.05 |
| 861 | Acquired foot deformities | musculoskeletal | UKBB00000007 | 5.05 |
| 862 | Physical function (baseline) | GCST90565837 | 5.05 |
| 863 | AIFM1/EGF ratio | GCST90313219 | 5.04 |
| 864 | LY75 levels | GCST90469822 | 5.03 |
| 865 | Tibiofemoral angle | GCST90270263 | 5.03 |
| 866 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T12 | ECGU000012 | 5.03 |
| 867 | aparc-a2009s lh area G-oc-temp-med-Lingual | GCST90003318 | 5.03 |
| 868 | aparc-Desikan lh volume lingual | GCST90002780 | 5.02 |
| 869 | TP53I3 levels | GCST90470937 | 5.01 |
| 870 | T1 FreeSurfer a2009s lh G cuneus area | GCST90384678 | 5.01 |
| 871 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T71 | ECGU000071 | 5.00 |
| 872 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T408 | ECGA000408 | 5.00 |
| 873 | aparc-Desikan lh volume parsopercularis | GCST90002785 | 5.00 |
| 874 | Bone density Z-score | GCST90278621 | 4.99 |
| 875 | IDP dMRI TBSS MD Sagittal stratum L | GCST90004058 | 4.99 |
| 876 | ICD10 N84: Polyp of female genital tract | GCST90454216 | 4.99 |
| 877 | PTPRS levels | GCST90470387 | 4.98 |
| 878 | CAG-177 abundance in stool | GCST90032261 | 4.97 |
| 879 | Phosphatidylcholine-O_34:3_[M+H]1+/Phosphatidylcholine-P_34:2_[M+H]1+/Phosphatidylethanolamine-P_37:2_[M+H]1+ levels | GCST90060277 | 4.97 |
| 880 | TXN levels | GCST90470995 | 4.97 |
| 881 | IFNGR1/THBD ratio | GCST90315130 | 4.96 |
| 882 | Right-hemisphere salience/ventral attention network to pallidum white-matter structural connectivity | GCST90302820 | 4.95 |
| 883 | Operative procedures - Unspecified diagnostic endoscopic examination of bladder | Summary Operations | UKBB00000590 | 4.95 |
| 884 | DTI autoptx L3 str l tract | GCST90385216 | 4.94 |
| 885 | Hereditary corneal dystrophies | FING00000611 | 4.94 |
| 886 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T25 | ECGU000025 | 4.94 |
| 887 | DTI autoptx L3 unc l tract | GCST90385218 | 4.93 |
| 888 | TINAGL1 levels | GCST90470873 | 4.93 |
| 889 | Barrett's esophagus (PheCode 530.13) | GCST90476048 | 4.93 |
| 890 | NOTCH3 levels | GCST90470067 | 4.93 |
| 891 | Secondary hypertension | FING00001285 | 4.93 |
| 892 | IDP dMRI ProbtrackX L3 atr l | GCST90004302 | 4.93 |
| 893 | IDP dMRI ProbtrackX MD fma | GCST90004229 | 4.92 |
| 894 | IDP dMRI ProbtrackX MD ifo r | GCST90004232 | 4.92 |
| 895 | IGF1 levels | GCST90025989 | 4.92 |
| 896 | Prescriptions - anti-malarial | UKBB00000663 | 4.91 |
| 897 | Prescriptions - quinine bisulfate | anti-malarial | UKBB00000698 | 4.91 |
| 898 | aseg global volume 4th-Ventricle | GCST90002600 | 4.91 |
| 899 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T417 | ECGA000417 | 4.91 |
| 900 | FKBPL levels | GCST90469246 | 4.91 |
| 901 | aparc-DKTatlas lh area cuneus | GCST90003237 | 4.91 |
| 902 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T13 | ECGU000013 | 4.91 |
| 903 | Phosphatidylcholine-O_36:2_[M+H]1+/Phosphatidylcholine-P_36:1_[M+H]1+/Phosphatidylethanolamine-P_39:1_[M+H]1+ levels | GCST90060326 | 4.91 |
| 904 | OLR1 levels | GCST90012020 | 4.90 |
| 905 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 105) | GCST90320924 | 4.89 |
| 906 | Degree of unsaturation | GCST90502224 | 4.89 |
| 907 | aparc-Desikan lh area caudalmiddlefrontal | GCST90003076 | 4.88 |
| 908 | C3 levels | GCST90468498 | 4.88 |
| 909 | Retinal detachment with retinal defect | sense organs | UKBB00000754 | 4.88 |
| 910 | aparc-Desikan rh thickness postcentral | GCST90003500 | 4.87 |
| 911 | CD48 levels | GCST90425676 | 4.87 |
| 912 | aparc-DKTatlas rh thickness postcentral | GCST90003591 | 4.87 |
| 913 | IDP T1 FAST ROIs L cerebellum IX | GCST90002584 | 4.86 |
| 914 | SNX2 levels | GCST90470701 | 4.86 |
| 915 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T26 | ECGU000026 | 4.85 |
| 916 | DSG4 levels | GCST90469044 | 4.84 |
| 917 | aparc-Desikan rh volume parahippocampal | GCST90002816 | 4.84 |
| 918 | FGR levels | GCST90469236 | 4.84 |
| 919 | Gestational age at birth (child effect) | GCST90268421 | 4.84 |
| 920 | CAG-177 sp003514385 abundance in stool | GCST90032259 | 4.82 |
| 921 | Retinal detachments and breaks | Disorders of choroid and retina | UKBB00000755 | 4.82 |
| 922 | Hippocampal subfield right CA1 volume (head) | GCST90267961 | 4.81 |
| 923 | Sphingomyelin (d17:1/16:0, d18:1/15:0, d16:1/17:0) levels | GCST90200017 | 4.81 |
| 924 | Cerebrovascular disease (PheCode 433) | GCST90475985 | 4.81 |
| 925 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T40 | ECGU000040 | 4.80 |
| 926 | HHIP levels | GCST90617097 | 4.80 |
| 927 | Acquired deformities of fingers and toes | Other joint disorders | UKBB00000006 | 4.80 |
| 928 | Diacylglycerol_38:5_[M+H-H2O]1+ levels | GCST90060200 | 4.80 |
| 929 | wg lh intensity-contrast inferiortemporal | GCST90003800 | 4.80 |
| 930 | Coronary atherosclerosis | FING00000359 | 4.79 |
| 931 | MESD/NCK2 ratio | GCST90315421 | 4.79 |
| 932 | aparc-a2009s rh area G-cuneus | GCST90003381 | 4.78 |
| 933 | FST/FSTL3 ratio | GCST90314882 | 4.78 |
| 934 | F11R/PARK7 ratio | GCST90314723 | 4.77 |
| 935 | IDP dMRI ProbtrackX MD ar r | GCST90004220 | 4.76 |
| 936 | aseg rh intensity Accumbens-area | GCST90003788 | 4.76 |
| 937 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T39 | ECGU000039 | 4.76 |
| 938 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T41 | ECGU000041 | 4.75 |
| 939 | IDP dMRI TBSS L2 Fornix | GCST90004128 | 4.74 |
| 940 | Chronic Kidney Disease, Stage IV (PheCode 585.34) | GCST90476130 | 4.74 |
| 941 | Triacylglycerol (54:1) [NL-18:1] levels | GCST90024563 | 4.73 |
| 942 | PAMR1/RARRES2 ratio | GCST90315595 | 4.73 |
| 943 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 32) | GCST90320595 | 4.73 |
| 944 | T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 118) | GCST90320937 | 4.72 |
| 945 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 24) | GCST90320587 | 4.71 |
| 946 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T415 | ECGA000415 | 4.71 |
| 947 | PER3 levels | GCST90470210 | 4.71 |
| 948 | SRC/STAT5B ratio | GCST90315882 | 4.70 |
| 949 | ITGAV levels | GCST90469639 | 4.70 |
| 950 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T405 | ECGA000405 | 4.70 |
| 951 | GMPR2 levels | GCST90469367 | 4.70 |
| 952 | Osteomyelitis, periostitis, and other infections involving bone (PheCode 710) | GCST90476220 | 4.69 |
| 953 | Ascending aorta diameter | GCST90091050 | 4.69 |
| 954 | RNASE4 levels | GCST90470478 | 4.68 |
| 955 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T406 | ECGA000406 | 4.68 |
| 956 | aparc-DKTatlas rh volume parahippocampal | GCST90002907 | 4.68 |
| 957 | UBXN1 levels | GCST90471004 | 4.67 |
| 958 | Malignant neoplasm of rectum, excluding all cancers (controls excluding all cancers) | FING00000771 | 4.66 |
| 959 | Retinal thickness (functional principal component 6) | GCST90455726 | 4.66 |
| 960 | Testosterone levels | GCST90483486 | 4.65 |
| 961 | Diastolic blood pressure x sex interaction | GCST90335175 | 4.65 |
| 962 | HSPB1 levels | GCST90469489 | 4.65 |
| 963 | IDP dMRI ProbtrackX L1 unc r | GCST90004272 | 4.65 |
| 964 | ASPN levels | GCST90468377 | 4.65 |
| 965 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T402 | ECGA000402 | 4.64 |
| 966 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T414 | ECGA000414 | 4.64 |
| 967 | Emphysema (PheCode 496.1) | GCST90476028 | 4.64 |
| 968 | T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 102) | GCST90320665 | 4.63 |
| 969 | Cerebrospinal fluid 3-hydroxyhexanoate levels | GCST90318108 | 4.63 |
| 970 | Hydrocele (PheCode 603.1) | GCST90476157 | 4.62 |
| 971 | aparc-DKTatlas lh thickness paracentral | GCST90003555 | 4.62 |
| 972 | TALDO1 levels | GCST90470802 | 4.62 |
| 973 | Cryptic phenotype that captures Alport syndrome severity | GCST90101828 | 4.62 |
| 974 | SCARF2/TNFRSF21 ratio | GCST90315813 | 4.61 |
| 975 | Trunk fat percentage | Impedance measures | UKBB00000864 | 4.61 |
| 976 | Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T35 | ECGU000035 | 4.61 |
| 977 | X-18601 levels | GCST90243501 | 4.61 |
| 978 | NXPH3 levels | GCST90470112 | 4.60 |
| 979 | CST3/IGFBP6 ratio | GCST90314293 | 4.60 |
| 980 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T413 | ECGA000413 | 4.60 |
| 981 | Right hippocampal volume | GCST90267974 | 4.60 |
| 982 | Fractured/broken bones in last 5 years | Medical conditions | UKBB00000258 | 4.59 |
| 983 | IDP dMRI ProbtrackX MO str l | GCST90004023 | 4.59 |
| 984 | CTSO levels | GCST90179277 | 4.59 |
| 985 | CA11 levels | GCST90468506 | 4.59 |
| 986 | Polyunsaturated fatty acids to saturated fatty acids ratio | GCST90502592 | 4.59 |
| 987 | USP25 levels | GCST90471019 | 4.59 |
| 988 | Biological Father: Chronic Lung Disease including COPD, Emphysema or Bronchitis | GCST90475247 | 4.58 |
| 989 | CLEC14A/PIK3IP1 ratio | GCST90314080 | 4.57 |
| 990 | EGF/TNFSF14 ratio | GCST90314615 | 4.57 |
| 991 | ALB levels | GCST90475100 | 4.56 |
| 992 | MFAP4 levels | GCST90469898 | 4.56 |
| 993 | Left ventricular wall thickness (maximal) | GCST90435263 | 4.55 |
| 994 | Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T410 | ECGA000410 | 4.55 |
| 995 | Sleep apnea with BMI < 30 | GCST90624797 | 4.54 |
| 996 | BA-exvivo rh volume BA3b | GCST90002852 | 4.54 |
| 997 | IDP dMRI ProbtrackX L2 fmi | GCST90004284 | 4.54 |
| 998 | ERBIN/TBC1D23 ratio | GCST90314698 | 4.54 |
| 999 | IDP dMRI TBSS L2 Pontine crossing tract | GCST90004124 | 4.53 |
| 1000 | aparc-DKTatlas lh volume lateraloccipital | GCST90002871 | 4.53 |