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MAC.MDM.complement_resolving: Studies — page 11

How association tiers are defined — cell–trait and gene–trait

SCREATE tier definitions supplied by the atlas curator. This methods note explains the prepared classifications; it does not recompute or change any report scores or tiers.

Cell–trait tiers

Cell–trait links
Identify cell types whose regulatory activity is associated with a trait’s genetic signal.
Required for Specific or Relevant
The ICE-CREAM score derived from the mean metacell Z score must be ≥ 5.39, with BOTH nominal and adjusted ICE-CREAM P values ≤ 0.05.
Specific (Tier 1)
Also meets all cell-set enrichment analysis (CSEA) criteria in at least one tested comparison: nominal P ≤ 0.05 AND adjusted P ≤ 0.05 AND normalized enrichment score (NES) ≥ 1, all in that comparison. This indicates that trait-associated activity is concentrated in this cell type relative to the tested background.
Relevant (Tier 2)
Meets the ICE-CREAM requirements but not the additional CSEA criteria. The cell type may share trait-associated activity with other cell types.
Interpretation and report values
CSEA is cell-set enrichment analysis, analogous to gene-set enrichment analysis but using sets of cells along a ranked list of ICE-CREAM scores. The eligibility score derived from the mean metacell Z score is not the displayed mean IC score. Do not infer a tier from the displayed mean, its descriptive Significance column, or a single CSEA summary value. Reports preserve prepared tiers; Other means an available association outside Specific/Relevant, and unavailable is not zero or proof of biological irrelevance.
Meta traits and individual traits
Use the prepared tier for the exact meta trait or individual trait. A meta trait’s Best child CSEA FDR is the lowest available child FDR, not a combined or meta-trait significance test. Its displayed mean child NES is descriptive, not a new CSEA test. These summaries must not be used to reconstruct or override the meta-trait tier.

Gene–trait priorities (variant–tCRE–gene evidence)

Variant–tCRE–gene links
Candidate variants connect to genes through overlapping promoters or distal transcribed cis-regulatory elements (tCREs) linked to gene promoters by the Activity-by-Contact (ABC) model.
Required genetic support
The variant belongs to a purity-passing SuSiE credible set OR qualifies for Borzoi rescue. Borzoi rescue requires BOTH a variant-causality score ≥ 0.3 AND linkage disequilibrium with the lead variant of r² ≥ 0.2.
Required cellular support
The overlapping promoter has positive tCRE activity OR the distal element has a passing cell-specific ABC link to the gene, in a Specific or Relevant cell subtype (L1S) or fine-grained state (L2). BOTH genetic and cellular support are required for High or Medium priority.
High priority
Among records meeting both minimum requirements, High requires a genetic score ≥ 0.5 AND a Layer 1 correlation > 0.3 between tCRE activity and the trait’s cellular profile across cell subtypes.
Medium priority
Meets both minimum requirements but not one or both additional High thresholds. The genetic score is the higher of the SuSiE posterior inclusion probability (PIP) and the Borzoi variant-causality score.
Same-record evidence and aggregation
Each priority requires genetic and cellular evidence supporting the SAME variant–tCRE–gene record. Do not combine thresholds or evidence from different records to create a qualifying link. A gene receives the highest priority observed among its supporting records. A tCRE summary uses supporting records for that exact tCRE, not every trait of its linked genes. Separately displayed aggregate scores do not relax the same-record rule.
Limits of interpretation
A priority is candidate-association evidence, not proof of a causal variant, causal gene, causal cell type or treatment efficacy. Missing evidence is unavailable, not zero. MAGMA −log10(P), displayed credibility scores, cellular-context scores and G/C tier codes must not be substituted for these eligibility tests; use the provided records and their documented fields.

State · 1,931 full-atlas cells · all tissues.

Marker genes and cell annotation · Open this population in Cell Browser →

ICE-CREAM (IC) is −log10(P) from a permutation test. An IC score of 3 corresponds to an unadjusted P value of 0.001; 5.5 is the multiple-testing-corrected significance threshold across all metacells. The Significance categories are Significant for IC > 5.5, Nominal for 3 ≤ IC ≤ 5.5, and Nonsignificant for IC < 3. These reports display mean IC scores across full-atlas populations, not the UMAP sample. The categories apply to the displayed scores: a cell-group mean or an average across individual traits is descriptive and is not itself a newly tested P value or a new multiple-testing correction. All scores are retained. Enrichment is not proof of causality or treatment efficacy.

Rows 10,001–11,000 of 12,313; ranked by score descending. Equal values use name/identifier order.

Studies ranked for MAC.MDM.complement_resolving
#Trait / studyIndividual trait IDMean IC score
10001Physical activity (Total log acceleration 2am-4am)GCST900614100.03
10002Cervical cancerGCST900185970.03
10003CACYBP levelsGCST904685240.03
10004Medication use (vasodilators used in cardiac diseases)GCST900187630.03
10005Main speciality of consultant (recoded) - Ophthalmology | Summary AdministrationUKBB000004190.03
10006Non-small cell lung cancer, squamous, excluding all cancers (controls excluding all cancers)FING000008770.03
10007Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T216ECGU0002160.03
10008VASP levelsGCST904710280.03
10009Nerve, nerve root and plexus disordersFING000008620.03
10010Chronic Kidney Disease, Stage IV (PheCode 585.34)GCST904761300.03
10011BACH1/SNX9 ratioGCST903134470.03
10012Ganglion cell inner plexiform layer (GCIPL) thicknessGCST900142670.03
10013Alcohol usually taken with meals (UKB data field 1618)GCST901330040.03
10014MARS1 levelsGCST904698620.03
10015DTI autoptx MD atr r tractGCST903852230.03
10016Left-hemisphere salience/ventral attention network to right-hemisphere control network white-matter structural connectivityGCST903027170.03
10017CCBL2 levelsGCST902417220.03
10018Heart attackGCST904752110.03
10019IDP dMRI TBSS MD Middle cerebellar peduncleGCST900040270.03
10020Ankylosing spondylitis, strict definitionFING000000900.03
10021Abdominal hernia | digestiveUKBB000000020.03
10022AGXT/GRPEL1 ratioGCST903132050.03
10023LY6D/NECTIN4 ratioGCST903153440.03
10024INSL4 levelsGCST904696210.03
10025CABP2 levelsGCST904685190.03
10026Mean sphered cell volume | Blood countUKBB000004520.03
10027Left-hemisphere default mode network to right-hemisphere visual network white-matter structural connectivityGCST903027600.03
10028Ankle spacing width (right) | Bone-densitometry of heelUKBB000000340.03
10029aparc-a2009s lh area Pole-temporalGCST900033390.03
10030aparc-Desikan lh volume precentralGCST900027910.03
10031BA-exvivo rh thickness BA1GCST900035270.03
10032Financial situation satisfaction | Mental healthUKBB000002490.03
10033aparc-DKTatlas rh thickness lingualGCST900035820.03
10034Smoking dependencyFING000013150.03
10035Maximum carotid IMT (intima-medial thickness) at 240 degrees | Carotid ultrasoundUKBB000004290.03
10036Deep biteFING000003800.03
10037Systolic blood pressure, combined automated + manual reading | Cardiovascular measurementUKBB000008060.03
10038Left ventricular end systole anterospetal wall thicknessGCST902785130.03
10039HippSubfield rh volume CA3-headGCST900027070.03
10040Malignant neoplasm of female breast | neoplasmsUKBB000004260.03
10041Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T113ECGA0001130.03
10042Diaphragmatic herniaFING000004190.03
10043SNAP29/SNX9 ratioGCST903158590.03
10044XPNPEP2 levelsGCST904710840.03
10045GAPDH levelsGCST904693020.03
10046Nephritis and nephropathy in diseases classified elsewhere (PheCode 580.31)GCST904761160.03
10047rfMRI connectivity (ICA100 edge 995)GCST900058480.03
10048DorsopathiesFING000004730.03
10049Personal history of certain other diseases | Persons with potential health hazards related to family and personal history and certain conditions influencing health statusUKBB000006420.03
10050CD93/CLEC14A ratioGCST903139210.03
10051KLF4 levelsGCST904696940.03
10052Hypoplasia of dental enamel, including avohilmoFING000006520.03
10053Mean arterial pressure, automated reading, adjusted by medication | Cardiovascular measurementUKBB000004360.03
10054Ceramide (d17:1/22:0) levelsGCST900240320.03
10055T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 86)GCST903206490.03
10056NEXN levelsGCST904700300.03
10057Sensorineural hearing lossFING000012910.03
10058FADD/LACTB2 ratioGCST903147670.03
10059ITGB1/SELP ratioGCST903152300.03
10060CETN3 levelsGCST904687220.03
10061aparc-a2009s lh area G-precuneusGCST900033260.03
10062CDH5/NOTCH1 ratioGCST903139570.03
10063DTI TBSS L3 Posterior limb of internal capsule RGCST903845420.03
10064CR2/TNFRSF13B ratioGCST903142250.03
10065Lung function (FEV1/FVC)GCST900259780.03
10066CCDC50 levelsGCST904685610.03
10067Serum 25-Hydroxyvitamin D levelsGCST900006140.03
10068Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T44ECGA0000440.03
10069Operative procedures - Primary repair of inguinal hernia using insert of prosthetic material | Summary OperationsUKBB000005870.03
10070Diastolic blood pressureGCST903016980.03
10071HS1BP3 levelsGCST904694770.03
10072IDP dMRI ProbtrackX MO str rGCST900040240.03
10073Other hammer toe(s) (acquired)FING000010540.03
10074Coronary artery calcificationGCST905030740.03
10075Diaphragmatic hernia | digestiveUKBB000001710.03
10076AHSP levelsGCST904682640.03
10077Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T499ECGA0004990.03
10078Diseases of arteries, arterioles and capillaries (FINNGEN)FING000004230.03
10079Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T476ECGU0004760.03
10080Operative procedures - Primary total prosthetic replacement of knee joint using cement | Summary OperationsUKBB000005880.03
10081aseg lh intensity Inf-Lat-VentGCST900037650.03
10082Peripheral vascular disease, unspecified (PheCode 443.9)GCST904759980.03
10083Blood cell traits latent factor 20 (red cell)GCST905592620.03
10084Benign neoplasm: Sigmoid colonFING000002030.03
10085FOXO3/MAP3K5 ratioGCST903148800.03
10086RAP1A levelsGCST904704250.03
10087Wheeze or whistling in the chest in last year | BreathingUKBB000009120.03
10088rfMRI amplitudes (ICA100 node 40)GCST900046280.03
10089Acute myocardial infarction | Ischaemic heart diseasesUKBB000000110.03
10090Non-cancer illness code, self-reported - kidney stone/ureter stone/bladder stone | Medical conditionsUKBB000005190.03
10091Plasma iron levelsGCST901005460.03
10092PLXDC1 levelsGCST904702630.03
100931-(1-enyl-palmitoyl)-2-palmitoleoyl-GPC (P-16:0/16:1) levelsGCST902000700.03
10094HippSubfield rh volume CA1-bodyGCST900026920.03
10095Descending aorta distensibilityGCST902673860.03
10096Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T5ECGU0000050.03
10097ELOA/POLR2F ratioGCST903146430.03
10098IDP dMRI TBSS MO Cerebral peduncle LGCST900039670.03
10099BCR/FOXO1 ratioGCST903134900.03
10100HypertensionGCST904681350.03
10101Solitary pulmonary nodule (PheCode 514.2)GCST904760440.03
10102Inguinal hernia, bilateralFING000006820.03
10103TNC/VCAM1 ratioGCST903159270.03
10104rfMRI amplitudes (ICA100 node 38)GCST900046260.03
10105Left-hemisphere visual network to left-hemisphere limbic network white-matter structural connectivityGCST903026520.03
10106DorsalgiaFING000004720.03
10107Hernia abdominopelvic cavityGCST900860870.03
10108MTSS1 levelsGCST904699600.03
10109Congenital malformations of ovaries, fallopian tubes and broad ligamentsFING000003370.03
10110Cervicobrachial syndromeFING000002660.03
10111Liver fatGCST900290730.03
10112Free Cholesterol to Total Lipids in Small VLDL percentageGCST904998310.03
10113Tryptophan levelsGCST902434030.03
10114aparc-Desikan rh thickness lingualGCST900034910.03
10115T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 4)GCST903205670.03
10116Glucosamine medicationFING000005840.03
10117T1 FreeSurfer aseg Right-Lateral-VentricleGCST903841570.03
10118KIFBP/TACC3 ratioGCST903152490.03
10119NPDC1 levelsGCST904700690.03
10120aparc-a2009s lh area S-calcarineGCST900033400.03
10121Drinks usually with meals in current drinkers (yes vs no) (UKB data field 1618)GCST901329260.03
10122IGFBP2 levelsGCST904695280.03
10123Right-hemisphere visual network to accumbens white-matter structural connectivityGCST903027870.03
10124NBL1 levelsGCST904700010.03
10125Hair/balding pattern: Pattern 1 (UKB data field 2395_1)GCST900436160.03
10126T1 CAT volume L TemporalOccipitalFusiformCortexGCST903840760.03
10127Asthma | Chronic lower respiratory diseasesUKBB000000530.03
10128Corneal resistance factor (left) | Intraocular pressureUKBB000001500.03
10129aparc-a2009s lh area S-postcentralGCST900033630.03
10130GNPDA2 levelsGCST904693740.03
10131IDP dMRI TBSS MO Anterior corona radiata RGCST900039740.03
10132Heart attackGCST904681320.03
10133CPB1/PRSS2 ratioGCST903142110.03
10134C1QTNF1/COL4A1 ratioGCST903135520.03
10135Mean arterial pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurementUKBB000004400.03
10136Left-hemisphere somatomotor network to left-hemisphere default mode network white-matter structural connectivityGCST903026740.03
10137Chronic lower respiratory diseasesFING000002900.03
10138Estimated glomerular filtration rate (creatinine)GCST901036340.03
10139Triacylglycerol_50:5_[M+NH4]1+ levelsGCST900604630.03
10140MPO levelsGCST900120310.03
10141Glaucoma (primary open-angle)GCST900117680.03
10142How many years have you or did you smoke cigarettes? (inv-normal transformed)GCST904763900.03
10143Left-hemisphere dorsal attention network to right-hemisphere limbic network white-matter structural connectivityGCST903026980.03
10144GPKOW/PXN ratioGCST903149780.03
10145CDH5/PCDH17 ratioGCST903139580.03
10146T1 FreeSurfer DK rh lateraloccipital areaGCST903856990.03
10147PCDH12 levelsGCST904701680.03
10148Seborrheic dermatitis (PheCode 690.1)GCST904761710.03
10149Social and economic stability (confirmatory factor analysis Factor 15)GCST903093490.03
10150CD99 levelsGCST904686580.02
10151Frailty (General Factor)GCST906240460.02
10152Hypertension, essentialFING000006380.02
10153TCTN3 levelsGCST904708230.02
10154Left-hemisphere somatomotor network to left-hemisphere control network white-matter structural connectivityGCST903026730.02
10155Migraine with aura and triptan purchasesFING000008200.02
10156Mean arterial pressure, automated reading, adjusted by medication | Cardiovascular measurementUKBB000004350.02
10157mean corpuscular volume (MCV, minimum, inv-norm transformed)GCST904754740.02
10158LACRT levelsGCST904697250.02
10159creatinine (mean, inv-norm transformed)GCST904752290.02
10160Cholesteryl esters in medium VLDL (UKB data field 23506)GCST902696030.02
10161Acceptance of an invitation to participate in a mental health questionnaireGCST900127920.02
10162FSTL3/SPON2 ratioGCST903148840.02
10163MST1 levelsGCST904699520.02
10164Asthma (only as main-diagnosis) (more control exclusions)FING000001140.02
10165Systolic blood pressure, automated reading, adjusted by medication | Cardiovascular measurementUKBB000008050.02
10166CLEC14A levelsGCST904687660.02
10167Cognitive processing accuracyGCST904461690.02
10168TFF3 levelsGCST904708370.02
10169BA-exvivo rh area perirhinalGCST900032330.02
10170aparc-pial lh area superiorparietalGCST900031690.02
10171CCL11 levelsGCST902747640.02
10172Excessive vomiting in pregnancyFING000005230.02
10173LRP11 levelsGCST904697960.02
10174ULBP2 levelsGCST904710080.02
10175estimated glomerular filtration rate (eGFR, mean, inv-norm transformed)GCST904752820.02
10176aparc-a2009s lh volume G+S-subcentralGCST900029280.02
10177Atopic dermatitisGCST900185640.02
10178Carnitine levelsGCST901996210.02
10179CAG-177 sp003514385 abundance in stoolGCST900322590.02
10180IDP dMRI TBSS MD Inferior cerebellar peduncle LGCST900040380.02
10181Smoking status, ever vs never | Other measurementUKBB000007820.02
10182Waist circumference | Body size measuresUKBB000009040.02
10183Added salt consumptionGCST901330010.02
10184Treatment/medication code - seretide 50 evohaler | MedicationsUKBB000008580.02
10185Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T50ECGA0000500.02
10186Non-oily fish intake | DietUKBB000005250.02
10187X-21471 levelsGCST902005860.02
10188IDP dMRI ProbtrackX L3 slf lGCST900043210.02
10189Sphingomyelin_42:3_[M+H]1+ levelsGCST900603990.02
10190COL18A1 levelsGCST904688120.02
10191ANKMY2 levelsGCST904683090.02
10192NAGPA levelsGCST902420040.02
10193ArthropathiesFING000001070.02
10194CELSR2 levelsGCST904687030.02
10195IDP T1 FAST ROIs L planum temporaleGCST900025410.02
10196Asthma | respiratoryUKBB000000540.02
10197SnoringGCST0097610.02
10198DTI autoptx MD ilf r tractGCST903852350.02
10199Benign neoplasm: Rectum, anus and anal canalFING000001970.02
10200aparc-DKTatlas rh area lateraloccipitalGCST900032740.02
10201T1 FreeSurfer a2009s lh G front sup thicknessGCST903847570.02
10202Concentration of small LDL particlesGCST904996690.02
10203Never eat eggs, dairy, wheat, sugar - I eat all of the above | DietUKBB000005000.02
10204SLC27A4 levelsGCST904706570.02
10205FKBPL levelsGCST904692460.02
10206EFEMP1/TGFBR3 ratioGCST903145970.02
10207SOD1 levelsGCST904707040.02
10208FOXJ3 levelsGCST904692640.02
10209CD276 levelsGCST904686140.02
10210Tyrosine levels (UKB data field 23469)GCST902695660.02
10211Other diseases of intestinesFING000010010.02
10212wg lh intensity-contrast banksstsGCST900037930.02
10213T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 114)GCST903206770.02
10214T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 28)GCST903208470.02
10215Oral glucose tolerance test-2hGCST902977900.02
10216Atrophic disorders of skinFING000001290.02
10217CDKN2D/TACC3 ratioGCST903139920.02
10218IL15/IL18BP ratioGCST903151480.02
10219CKMT1A or CKMT1B levelsGCST904687600.02
10220Triacylglycerol_45:4_[M+NH4]1+ levelsGCST900603330.02
10221OGN levelsGCST904701190.02
10222TP53I3 levelsGCST904709370.02
10223Systolic blood pressure, automated reading, adjusted by medication | Cardiovascular measurementUKBB000008040.02
10224Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T92ECGU0000920.02
10225Mean corpuscular haemoglobin | Blood countUKBB000004470.02
10226DTI TBSS FA Sagittal stratum LGCST903844110.02
10227aparc-a2009s rh volume S-orbital-H-ShapedGCST900030620.02
10228EPHA4 levelsGCST904691310.02
10229Triacylglycerol_53:5_[M+NH4]1+ levelsGCST900605200.02
10230aparc-Desikan rh area lateraloccipitalGCST900031170.02
10231Body mass indexGCST900187270.02
10232CPA1/PLA2G1B ratioGCST903142050.02
10233Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T210ECGU0002100.02
10234Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T28ECGA0000280.02
10235Androstenediol (3beta,17beta) monosulfate (1) levelsGCST901998720.02
10236DTI autoptx L1 ptr r tractGCST903851590.02
10237T1 FreeSurfer DK rh fusiform volumeGCST903857630.02
10238AsthmaGCST900143250.02
10239Tryptophan betaine levelsGCST901998190.02
10240Breast cancer (PheCode 174)GCST904356000.02
10241DTI TBSS FA Uncinate fasciculus LGCST903844250.02
10242aparc-pial rh area postcentralGCST900031950.02
10243AMBP levelsGCST904682880.02
10244Vascular/heart problems diagnosed by doctor - None of the above | Medical conditionsUKBB000008990.02
10245Mean arterial pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurementUKBB000004390.02
10246Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T75ECGA0000750.02
10247KLK4 levelsGCST904697040.02
10248ATXN2L levelsGCST904684020.02
10249Haemoglobin concentration (UKB data field 30020)GCST904680740.02
10250DTI TBSS L2 Anterior limb of internal capsule LGCST903844930.02
102511,2-dipalmitoyl-GPC (16:0/16:0) metabolite levelGCST906154380.02
10252aparc-DKTatlas lh volume lingualGCST900028730.02
10253T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 119)GCST903209380.02
10254Spirits likingGCST900948480.02
10255DTI TBSS MD Retrolenticular part of internal capsule LGCST903845930.02
10256Mean reticulocyte volumeGCST900259750.02
10257Gallbladder polypGCST900186260.02
10258rfMRI amplitudes (ICA100 node 30)GCST900046180.02
10259Diabetes mellitus (PheCode 250)GCST904756580.02
10260IDP dMRI TBSS OD Cerebral peduncle RGCST900044160.02
10261MTHFSD levelsGCST904699560.02
10262CFHR4 levelsGCST900190450.02
10263Caries in Clefts patientsFING000002560.02
10264Immature fraction of reticulocytesGCST900023870.02
10265Corneal dystrophy (PheCode 364.5)GCST904758640.02
10266Other acute lower respiratory infectionsFING000009210.02
10267Principal component-derived dietary pattern 23GCST901330280.02
10268MYDGF levelsGCST904699720.02
10269T1 FreeSurfer pial rh lateraloccipital areaGCST903858320.02
10270Uric acid levelsGCST902786460.02
10271Percentage of invited food questionnaires completedGCST900127900.02
10272aparc-a2009s rh area G-oc-temp-lat-fusiforGCST900033910.02
10273Allergic asthma (mode)FING000000660.02
10274Serum 25-Hydroxyvitamin D levelsGCST900006180.02
10275ST13 levelsGCST904707510.02
10276Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T461ECGU0004610.02
10277CSNK1G2 levelsGCST902406080.02
10278BA-exvivo rh volume BA6GCST900028550.02
10279Treatment or medication use - insulin product (UKB data field 20003_1140883066)GCST900422260.02
10280Treatment/medication code - lisinopril | MedicationsUKBB000008500.02
10281Corneal resistance factorGCST901005680.02
10282Personal history of allergy to drugs, medicaments and biologocal substances | Persons with potential health hazards related to family and personal history and certain conditions influencing health statusUKBB000006410.02
10283Thyroid stimulating hormone levelsGCST902963330.02
10284SPINT2/TNFSF13 ratioGCST903158790.02
10285aparc-a2009s lh area S-orbital-med-olfactGCST900033590.02
10286IL2RB levelsGCST904695860.02
102872,3-dihydroxy-5-methylthio-4-pentenoate (dmtpa) levelsGCST902002330.02
10288Physical activity (Total log acceleration 6am-8am)GCST900614120.02
1028910-undecenoate (11:1n1) levelsGCST902435960.02
10290Duration to first press of snap-button in each round | Reaction timeUKBB000002020.02
10291CRYBB2 levelsGCST904688750.02
10292DTI TBSS MD Fornix cres+Stria terminalis LGCST903846110.02
10293Waist circumference (UKB data field 48)GCST904681820.02
10294ThalamNuclei lh volume VLpGCST900027340.02
10295Cholesterol to Total Lipids in Large LDL percentageGCST904979290.02
10296Corneal resistance factor (right) | Intraocular pressureUKBB000001510.02
10297Serum 25-Hydroxyvitamin D levels (conditioned on BMI)GCST900006160.02
10298Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T80ECGA0000800.02
10299DTI TBSS MD Anterior limb of internal capsule RGCST903845880.02
10300DTI TBSS L1 FornixGCST903844330.02
10301Kiwi likingGCST900947880.02
10302Principal component-derived dietary pattern 19GCST901330240.02
10303aparc-a2009s lh volume S-subparietalGCST900029950.02
10304Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T482ECGA0004820.02
10305T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 76)GCST903208950.02
10306DCTD levelsGCST904689570.02
10307wg rh intensity-contrast caudalmiddlefrontalGCST900038300.02
10308Waist circumferenceGCST902786480.02
10309Systolic blood pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurementUKBB000008090.02
10310CA13/TIA1 ratioGCST903135670.02
10311Coronary artery / coronary heart disease (including heart attack, angina)GCST904751980.02
10312aparc-DKTatlas rh area precuneusGCST900032880.02
10313DTI TBSS MD Tapetum LGCST903846190.02
10314DTI autoptx L2 atr r tractGCST903851690.02
10315VWC2L levelsGCST904710630.02
10316Breast cancer | neoplasmsUKBB000001090.02
10317Other intervertebral disk disorders | Other dorsopathiesUKBB000006120.02
10318HematocritGCST900023040.02
10319Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T29ECGA0000290.02
10320TNFRSF4 levelsGCST904709130.02
10321IDP dMRI TBSS L3 Inferior cerebellar peduncle LGCST900041820.02
10322Diaphragmatic hernia (PheCode 550.2)GCST904760610.02
10323Viral haemorrhagic fevers, not elsewhere classified/unspecifiedFING000014330.02
10324Baked/steamed fish likingGCST900946960.02
10325Mosaic chromosomal alteration of the X chromosomeGCST901652870.02
10326SLC51B levelsGCST904706640.02
10327Pulse pressureGCST904727840.02
10328Daytime napGCST0114940.02
10329DTX3 levelsGCST904690480.02
10330IDP dMRI TBSS L2 Superior cerebellar peduncle RGCST900041350.02
10331T1 FreeSurfer DK rh cuneus volumeGCST903857610.02
10332DTI TBSS L2 Posterior thalamic radiation RGCST903845040.02
10333NID1/NID2 ratioGCST903155410.02
10334EPHA2 levelsGCST904691300.02
10335Primary coxarthrosis, bilateralFING000012120.02
10336Congenital malformations of genital organsFING000003330.02
103371-stearoyl-2-docosahexaenoyl-GPE (18:0/22:6) levelsGCST902000650.02
10338CD46/SELP ratioGCST903138340.02
10339aparc-a2009s rh volume S-intrapariet+P-transGCST900030540.02
10340Systolic blood pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurementUKBB000008080.02
10341Hemoglobin concentrationGCST900023100.02
10342Left-hemisphere visual network to right-hemisphere salience/ventral attention network white-matter structural connectivityGCST903026580.02
10343Preeclampsia or other maternal hypertension (maternal genotype effect)GCST902699040.02
10344COPD/asthma/ILD related infectionsFING000003530.02
10345Mean corpuscular hemoglobinGCST900023900.02
10346Concentration of IDL particles (UKB data field 23523)GCST902696200.02
10347ArthrosisFING000001110.02
10348CDC26 levelsGCST904686630.02
10349DHX58 levelsGCST906182380.02
10350DRAXIN levelsGCST904690380.02
10351ITGB1BP2/STAT5B ratioGCST903152200.02
10352Right-hemisphere control network to putamen white-matter structural connectivityGCST903028380.02
10353Phosphatidylcholine acyl-alkyl C36:5 levelsGCST902400730.02
10354Potassium in urine | Urine assaysUKBB000006550.02
10355BA-exvivo lh area BA2GCST900032080.02
10356Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T455ECGU0004550.02
10357Mononeuropathies of upper limb | Nerve, nerve root and plexus disordersUKBB000004810.02
10358BA-exvivo lh area V2GCST900032170.02
10359Vaginitis/vulvovaginitis/vulvitis/abscess of vulvaFING000014120.02
10360Cerebrospinal fluid sulfate* levelsGCST903180560.02
10361Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T473ECGU0004730.02
10362CNTN3 levelsGCST904688050.02
10363Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T24ECGA0000240.02
10364Spread type: Any oil based spread vs never use spread (UKB data field 1428)GCST901329490.02
10365T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 6)GCST903208250.02
10366Deep vein thrombosis [DVT] (PheCode 452.2)GCST904760100.02
10367aparc-DKTatlas lh area entorhinalGCST900032380.02
10368Breast cancer [female] | neoplasmsUKBB000001080.02
10369Principal component-derived dietary pattern 31GCST901330360.02
10370ICD10 N84: Polyp of female genital tractGCST904542160.02
10371Tobacco useFING000013650.02
10372Methods of admission to hospital (recoded) - Elective admission: Planned | Summary AdministrationUKBB000004620.02
10373IDP dMRI TBSS ICVF Uncinate fasciculus RGCST900043710.02
10374CELA2A levelsGCST904687010.02
10375COL9A1 levelsGCST904688220.02
10376Right-hemisphere control network to right-hemisphere control network white-matter structural connectivityGCST903028340.02
10377Proline levelsGCST902434570.02
10378Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T427ECGU0004270.02
10379Spinal stenosisFING000013220.02
10380Falls in the last year | General healthUKBB000002350.02
10381IDP dMRI ProbtrackX L2 slf lGCST900042940.02
10382TNFRSF13B/TNFSF13B ratioGCST903159330.02
10383Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T91ECGU0000910.02
10384Leisure/social activities - Sports club or gym | Social supportUKBB000004020.02
10385Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T47ECGA0000470.02
10386MAP2K6/MGMT ratioGCST903153730.02
10387Phospholipids to Total Lipids in Large LDL percentageGCST904980580.02
10388Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T46ECGA0000460.02
10389aparc-a2009s lh area G-parietal-supGCST900033230.02
10390T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 81)GCST903206440.02
10391aparc-a2009s lh thickness G-cuneusGCST900036130.02
10392aseg global volume CSFGCST900026030.02
10393Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T2ECGA0000020.02
10394Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T426ECGU0004260.02
10395Hard cardiovascular diseasesFING000006020.02
10396Plasma taurocholenate sulfate* levels in chronic kidney diseaseGCST902660400.02
10397DTI TBSS MD Superior longitudinal fasciculus RGCST903846120.02
10398STXBP1 levelsGCST904707770.02
10399Treatment/medication code - co-codamol | MedicationsUKBB000008450.02
10400T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 31)GCST903208500.02
10401Type 2 diabetes (PheCode 250.2)GCST904756670.02
10402Drink temperatureGCST901330020.02
10403FOXO3/SH2B3 ratioGCST903148810.02
10404Femur length to body height ratioGCST902702560.02
10405Number of days/week of moderate physical activity 10+ minutes | Physical activityUKBB000005330.01
10406Volume of left paralaminar nucleusGCST904749820.01
10407IDP dMRI TBSS L1 Cingulum hippocampus LGCST900041120.01
10408TWF2 levelsGCST904709870.01
10409Retinal venular widthGCST902704000.01
10410Leucine levels (UKB data field 23466)GCST902695630.01
10411aparc-Desikan lh area supramarginalGCST900031030.01
10412Biological Father: High blood pressureGCST904752430.01
10413LYZL2 levelsGCST904698330.01
10414LDLR levelsGCST901793460.01
10415CST3 levelsUKBB000001630.01
10416Total lipid levels in IDLGCST901326330.01
10417Waist circumference adjusted for body mass indexGCST903028920.01
10418Raynaud's syndromeGCST904481870.01
10419Carpal tunnel syndromeFING000002570.01
10420DNMBP/TBC1D5 ratioGCST903145190.01
10421Common executive functionGCST905031150.01
10422Melanomas of skin (PheCode 172.11)GCST904755780.01
10423Cholesteryl Esters to Total Lipids in Large LDL percentageGCST904979690.01
10424aparc-a2009s lh area S-subparietalGCST900033670.01
10425red blood cell count (RBC, maximum, inv-norm transformed)GCST904763450.01
10426MANSC1/PODXL2 ratioGCST903153710.01
10427DTI autoptx L1 fmi tractGCST903851500.01
10428N-formylanthranilic acid levelsGCST901999600.01
10429Principal component-derived dietary pattern 18GCST901330230.01
10430BA-exvivo rh volume V2GCST900028590.01
10431COX5B/FXN ratioGCST903141990.01
10432HippSubfield rh volume Whole-hippocampal-bodyGCST900027090.01
10433Chronic dermatitis due to solar radiation (PheCode 938.2)GCST904762880.01
10434Current employment status - Unable to work because of sickness or disability | EmploymentUKBB000001600.01
10435FABP4 levelsGCST904691760.01
10436Pain type(s) experienced in last month - Knee pain | PainUKBB000006290.01
10437RAPGEF2 levelsGCST904704260.01
10438Sphingomyelin_40:3_[M+H]1+ levelsGCST900603480.01
10439Bread type - Wholemeal or wholegrain | DietUKBB000001070.01
10440Total lipids in large LDLGCST904980210.01
10441DTI autoptx MD slf r tractGCST903852420.01
10442Non-cancer illness code, self-reported - hypertension | Medical conditionsUKBB000005170.01
10443IDP dMRI TBSS MO Middle cerebellar peduncleGCST900039520.01
10444Osteopathies and chondropathiesFING000009130.01
10445HippSubfield lh volume subiculum-headGCST900026710.01
10446Gonarthrosis [arthrosis of knee] | ArthrosisUKBB000002900.01
10447ICD10 N92: Excessive, frequent and irregular menstruationGCST904542210.01
10448Asparagine levelsGCST902437580.01
10449Benign paroxysmal vertigoFING000002100.01
10450ChalazionFING000002670.01
10451DTI TBSS L3 Anterior limb of internal capsule LGCST903845410.01
10452LDL cholesterol levelsGCST904983530.01
10453Volume of left lateral nucleusGCST904749700.01
10454Corneal resistance factorGCST903086820.01
10455rfMRI connectivity (ICA100 edge 605)GCST900054580.01
10456LTBR/TNFRSF14 ratioGCST903153400.01
10457Ectopic pregnancyGCST902728830.01
10458ICD10 O00: Ectopic pregnancyGCST904542270.01
10459Loud music exposure frequency | HearingUKBB000004100.01
10460UMOD levelsGCST904710090.01
10461CCL15 levelsGCST904685670.01
10462IDP dMRI ProbtrackX L3 fmaGCST900043100.01
10463PARK7/TNFRSF9 ratioGCST903155990.01
10464Percentage of fucosylated structures (with bisecting GlcNAc) in total neutral plasma glycans (GP80)GCST906687580.01
10465aparc-a2009s lh volume G-oc-temp-med-LingualGCST900029460.01
10466aparc-a2009s lh thickness S-postcentralGCST900036690.01
10467Diastolic blood pressure, automated reading, adjusted by medication | Cardiovascular measurementUKBB000001750.01
10468T1 FreeSurfer DKT lh lateraloccipital areaGCST903842020.01
10469Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T459ECGU0004590.01
10470aseg global volume-ratio BrainSegVol-to-eTIVGCST900026120.01
10471T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 85)GCST903209040.01
10472IGBP1 levelsGCST904695210.01
10473IDP dMRI TBSS L1 Sagittal stratum RGCST900041050.01
10474Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T467ECGU0004670.01
10475Other chondrocalcinosisFING000009770.01
10476Diabetes / SugarGCST904752650.01
10477Chronic hepatitis C infectionGCST900185850.01
10478aparc-Desikan rh volume lingualGCST900028130.01
10479Creatinine levels in bottom 99% of individuals by creatinine levelsGCST905667330.01
10480Left-hemisphere salience/ventral attention network to amygdala white-matter structural connectivityGCST903027240.01
10481PODXL levelsGCST904702800.01
10482Frequency of travelling from home to job workplace | EmploymentUKBB000002690.01
10483Multi-site chronic pain | Other traitUKBB000004900.01
10484GTPBP2 levelsGCST904694170.01
10485AMY1A or AMY1B or AMY1C levelsGCST904682970.01
10486Brugada syndromeGCST902959160.01
10487Alcohol abuse, main dg (more control exclusions)FING000000490.01
10488PDLIM7 levelsGCST904701980.01
10489Qualifications - None of the above | EducationUKBB000007290.01
10490COMMD1 levelsGCST904688250.01
10491Number of days/week of vigorous physical activity 10+ minutes | Physical activityUKBB000005340.01
10492Phospholipids to total lipids in small HDL percentage (UKB data field 23644)GCST902697410.01
10493Alanine levelsGCST904970860.01
10494Hemoglobin concentration varianceGCST905656850.01
10495HLAE/IL15 ratioGCST903150610.01
10496Lung function (FVC)GCST900259980.01
10497Blood urea nitrogen (BUN, minimum, inv-norm transformed)GCST904751680.01
10498Plays computer games | Electronic device useUKBB000006490.01
10499Takes medication for high blood pressure?GCST904752160.01
10500Educational attainment (confirmatory factor analysis Factor 10)GCST903093440.01
10501Intrinsic epigenetic age accelerationGCST900142900.01
10502Mean corpuscular haemoglobin (UKB data field 30050)GCST904680840.01
10503aparc-a2009s rh area S-orbital-H-ShapedGCST900034340.01
10504Phosphatidylethanolamine_40:6_[M-H]1- levelsGCST900603650.01
10505IDP dMRI TBSS L2 Posterior corona radiata RGCST900041490.01
10506IgA nephropathy (IgA glomerulonephritis)FING000006600.01
10507Volume of right basal nucleusGCST904750120.01
10508PPM1F levelsGCST904702970.01
10509Volume of left basal nucleusGCST904749460.01
10510Stroke, excluding SAHFING000013370.01
10511Estimated glomerular filtration rate (creatinine, cystatin c)GCST904284460.01
10512T1 FreeSurfer BA rh BA2 exvivo volumeGCST903855760.01
10513Other retinal disordersFING000010940.01
10514Lysophosphatidylcholine (26:0) [sn2] levelsGCST900254280.01
10515DTI TBSS L2 Superior fronto-occipital fasciculus LGCST903845190.01
10516BA-exvivo rh volume V1GCST900028580.01
10517Lactose intolerance, other/unspecifiedFING000007120.01
10518IGLL1 levelsGCST902414730.01
10519Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T480ECGU0004800.01
10520Type 1 diabetes (PheCode 250.1)GCST904756610.01
10521MYCT1 levelsGCST906180460.01
10522Principal component-derived dietary pattern 2GCST901330070.01
10523DTI autoptx L1 ifo r tractGCST903851520.01
10524Grapefruit likingGCST900947740.01
10525aparc-DKTatlas rh volume lingualGCST900029040.01
10526HippSubfield rh volume subiculum-bodyGCST900026910.01
10527Prescriptions - stimulant laxative|laxativeUKBB000007020.01
10528T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 32)GCST903205950.01
10529Juvenile rheumatoid arthirtisFING000007060.01
10530LPP levelsGCST904697900.01
10531PSAPL1 levelsGCST904703500.01
10532Eye conditions (confirmatory factor analysis Factor 25)GCST903093590.01
10533Fasting plasma glucoseGCST905664200.01
10534Pulse pressureGCST903017020.01
10535Cryptic phenotype that captures autosomal dominant polycystic kidney disease severityGCST901018290.01
10536HemoglobinGCST902786310.01
10537Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T456ECGU0004560.01
10538GP1BA/SELP ratioGCST903149580.01
10539Cholesteryl Esters in LDLGCST904983630.01
10540T1 FreeSurfer aseg Left-CaudateGCST903841440.01
10541CEACAM19 levelsGCST904686910.01
10542SCARF2 levelsGCST904705370.01
10543APOA4 levelsGCST904683330.01
10544FAM3B/GPA33 ratioGCST903147780.01
10545BMI and adiposity (confirmatory factor analysis Factor 7)GCST903093420.01
10546IDP dMRI TBSS MO FornixGCST900039570.01
10547Peritonsillar abscessFING000011600.01
10548High myopiaGCST0099620.01
10549Sensitivity / hurt feelings | Mental healthUKBB000007660.01
10550Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T451ECGU0004510.01
10551Asthma/COPD (KELA code 203)FING000001210.01
10552HypertensionFING000006370.01
10553MAP2K6 levelsGCST904698520.01
10554ATXN10 levelsGCST904684010.01
10555Nap during day | SleepUKBB000004920.01
10556Coffee type: Instant coffee (UKB data field 1508_2)GCST900418020.01
10557Cerebrospinal fluid proline levelsGCST903182510.01
10558B2M levelsGCST904684090.01
10559IDP dMRI ProbtrackX L2 fmaGCST900042830.01
10560Angina pectorisFING000000860.01
10561Beer or cider consumption (glasses per month) (UKB data field 1578, 4420)GCST901329880.01
10562aparc-pial lh area supramarginalGCST900031710.01
10563CELA3A/CPA1 ratioGCST903140090.01
10564PNLIP levelsGCST904702750.01
10565Biological Mother: Cancer, BreastGCST904754850.01
10566Hypotaurine levelsGCST902003790.01
10567NFX1 levelsGCST904700410.01
105681-arachidonoylglycerophosphoethanolamine levelsGCST902438080.01
10569Medication use (drugs used in diabetes)GCST900187610.01
10570Vitamin D | Blood biochemistryUKBB000009020.01
10571PPIE levelsGCST902422170.01
10572CLIP2 levelsGCST904687820.01
10573Umbilical hernia | HerniaUKBB000008810.01
10574Impedance of arm (right) | Impedance measuresUKBB000003570.01
10575TEX101 levelsGCST904708320.01
10576Disorder of skin and subcutaneous tissue NO (PheCode 689)GCST904761690.01
10577T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 47)GCST903208660.01
10578DTI TBSS L3 Fornix cres+Stria terminalis LGCST903845630.01
10579OTUD6B levelsGCST904701360.01
10580Malignant neoplasm of brain, excluding all cancers (controls excluding all cancers)FING000007520.01
10581Hypertension (confirmatory factor analysis Factor 12)GCST903093460.01
10582Hip circumference adjusted for BMIGCST0122270.01
10583CX3CL1/DSG2 ratioGCST903143230.01
10584IDP dMRI ProbtrackX FA ar lGCST900039250.01
10585Spherical power (right) | AutorefractionUKBB000007910.01
10586FABP6 levelsGCST904691780.01
10587Intestinal infectious diseasesFING000006890.01
10588T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 84)GCST903209030.01
10589IDP dMRI TBSS L1 Cingulum hippocampus RGCST900041110.01
10590EPHB6/LAYN ratioGCST903146810.01
10591VSIG2 levelsGCST904710510.01
10592Major dietary changes in the last 5 years - Yes, because of other reasons | DietUKBB000004230.01
10593RBKS levelsGCST904704330.01
10594Hypothyroidism, strict autoimmuneFING000006560.01
10595Polyneuropathy in diabetes (PheCode 250.6)GCST904756860.01
10596T1 FreeSurfer DKT rh fusiform thicknessGCST903843220.01
10597Belittlement by partner or ex-partner as an adult | Traumatic eventsUKBB000000910.01
10598T1 FreeSurfer a2009s lh S temporal sup areaGCST903847400.01
10599Insomnia complaintsGCST0046950.01
10600Disorders of choroid and retinaFING000004380.01
10601CataractsGCST904753820.01
10602BCL2 levelsGCST904684330.01
10603Avocado likingGCST900946940.01
10604Treatment speciality of consultant (recoded) - General medicine | Summary AdministrationUKBB000008329.97e-03
10605Cancer (standard GWA)GCST902672709.97e-03
10606Alcohol frequency weekly (standard GWA)GCST902672669.97e-03
10607Type 1 diabetes with ophthalmic manifestations (PheCode 250.13)GCST904756639.91e-03
10608Inguinal herniaFING000006819.88e-03
10609GP1BB levelsGCST904693819.87e-03
10610Phospholipids in LDLGCST904984399.84e-03
10611TACC3/TBC1D23 ratioGCST903159009.81e-03
10612Other disorders of earFING000010239.76e-03
10613CCN5/IGFBP6 ratioGCST903137239.75e-03
10614Clinical LDL cholesterol levelsGCST904972239.74e-03
10615Tooth agenesis EXCLUDE clefts and syndromesFING000013689.74e-03
10616Left-hemisphere visual network to right-hemisphere control network white-matter structural connectivityGCST903026609.74e-03
10617aparc-pial rh area inferiorparietalGCST900031819.72e-03
10618Reaction time (baseline)GCST905658389.72e-03
10619T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 125)GCST903206889.71e-03
10620RELL1 levelsGCST902426259.70e-03
10621NSFL1C/PSMG3 ratioGCST903155599.68e-03
10622Hair/balding pattern: Pattern 4 (UKB data field 2395_4)GCST900436199.67e-03
10623Creatinine levels (UKB data field 30700)GCST904680679.64e-03
10624wg lh intensity-contrast transversetemporalGCST900038259.64e-03
10625AMBP/ASGR1 ratioGCST903132519.63e-03
10626Arabitol/xylitol levelsGCST902000119.62e-03
10627RUNX3 levelsGCST902427069.52e-03
10628BA-exvivo rh thickness V2GCST900035379.52e-03
10629Left-hemisphere limbic network to right-hemisphere default mode network white-matter structural connectivityGCST903027359.51e-03
10630EHBP1 levelsGCST904690889.50e-03
10631LTBR levelsGCST904698169.50e-03
10632ERBB2/PTPRF ratioGCST903146889.49e-03
10633GLOD4/MIF ratioGCST903149399.46e-03
10634mean corpuscular hemoglobin (MCH, mean, inv-norm transformed)GCST904754449.46e-03
10635Trouble falling asleep when you first go to bedGCST904763859.40e-03
10636TNC levelsGCST904708959.40e-03
10637SMAD1/ZBTB16 ratioGCST903158539.38e-03
10638NECTIN2 levelsGCST904700209.33e-03
10639Creatinine | Blood biochemistryUKBB000001569.27e-03
10640Nontoxic diffuse goitreFING000008869.26e-03
10641HBB levelsGCST900259699.25e-03
10642MICB or MICA levelsGCST904699059.22e-03
10643Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T439ECGU0004399.19e-03
10644ESAM/TGFB1 ratioGCST903147189.18e-03
10645ICD10 O20: Haemorrhage in early pregnancyGCST904542359.17e-03
10646aseg lh volume CaudateGCST900026219.13e-03
10647IDP dMRI TBSS L3 Middle cerebellar peduncleGCST900041719.12e-03
10648TG levelsGCST904708519.12e-03
10649DTI TBSS MD FornixGCST903845779.10e-03
10650DTI TBSS L2 Anterior limb of internal capsule RGCST903844929.10e-03
10651Corneal hysteresis (right) | Intraocular pressureUKBB000001499.05e-03
10652Plasma N-acetyltaurine levels in chronic kidney diseaseGCST902656009.03e-03
10653Diacylglycerol_32:2_[M+H-H2O]1+ levelsGCST900601688.99e-03
10654BRAP levelsGCST904684648.95e-03
10655CTRC levelsGCST904689068.94e-03
10656mean corpuscular hemoglobin (MCH, minimum, inv-norm transformed)GCST904754488.94e-03
10657aparc-DKTatlas lh thickness postcentralGCST900035608.93e-03
10658Overweight, obesity and other hyperalimentation (PheCode 278)GCST904757598.92e-03
10659Age at onset of walkingGCST906510788.92e-03
10660Intra-ocular pressure, Goldmann-correlated (left) | Intraocular pressureUKBB000003768.80e-03
10661aparc-Desikan rh volume parstriangularisGCST900028208.79e-03
10662Sphingomyelin_41:2_[M+H]1+ levelsGCST900603838.77e-03
10663Roast chicken likingGCST900948218.76e-03
10664Never eat sugar vs no sugar restrictions (UKB data field 6144)GCST901329348.75e-03
10665Other peripheral nerve disorders | neurologicalUKBB000006188.75e-03
10666SLITRK6 levelsGCST904706718.74e-03
10667aparc-a2009s rh area G+S-occipital-infGCST900033728.73e-03
10668HematocritGCST900023838.73e-03
10669Allergic contact dermatitisFING000000688.72e-03
10670Right subiculum volume (body)GCST902679808.72e-03
10671Coronary artery plaque burdenGCST905030758.69e-03
10672Enterocolitis due to Clostridium difficileFING000005078.68e-03
10673CX3CL1 levelsGCST902412048.66e-03
10674Omega-6 fatty acid levelsGCST905021008.63e-03
10675aparc-Desikan rh area precuneusGCST900031318.62e-03
10676IDP T1 FAST ROIs L cuneal cortexGCST900025138.61e-03
10677QC T1-to-standard nonlinear alignment discrepancyGCST900063468.60e-03
10678EPHB4 levelsGCST904691328.57e-03
10679AMY2B levelsGCST904682998.55e-03
10680CD160/NCR1 ratioGCST903137328.53e-03
10681T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 10)GCST903208298.52e-03
10682Malignant neoplasm of breast, ER-positive, excluding all cancers (controls excluding all cancers)FING000007548.46e-03
10683DTI TBSS FA External capsule LGCST903844138.39e-03
10684Beta-hydroxyisovaleroylcarnitine levelsGCST901998028.39e-03
10685T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 126)GCST903206898.37e-03
10686RNF41 levelsGCST904704858.36e-03
10687Total Lipids in LDLGCST904984058.35e-03
10688Ascending aorta distensibilityGCST902673858.30e-03
10689BA-exvivo rh volume BA4pGCST900028548.27e-03
10690Linoleic acid levelsGCST905020098.23e-03
10691HemoglobinGCST900023848.22e-03
10692IDP dMRI TBSS MD Posterior limb of internal capsule LGCST900040468.18e-03
10693Never eat sugar vs no eggs, dairy, wheat or sugar restrictions (UKB data field 6144)GCST901329338.16e-03
10694DTI autoptx L3 ptr r tractGCST903852138.12e-03
10695Back pain | symptomsUKBB000000848.10e-03
10696IDP T1 FAST ROIs L subcallosal cortexGCST900025038.07e-03
10697Postmenopausal breast cancerGCST904281168.06e-03
10698PRSS2 levelsGCST904703438.06e-03
10699X-18922 levelsGCST902005788.05e-03
10700JAM2/TGFBR2 ratioGCST903152388.01e-03
10701aparc-a2009s rh volume Pole-occipitalGCST900030407.98e-03
10702Principal component-derived dietary pattern 40GCST901330457.95e-03
10703Haemoglobin concentration | Blood countUKBB000002937.95e-03
10704ThalamNuclei rh volume MGNGCST900027377.93e-03
10705Right-hemisphere default mode network to caudate white-matter structural connectivityGCST903028457.92e-03
10706Sphingomyelin (d18:1/14:0) levels/Sphingomyelin (d16:1/16:0) levelsGCST900257437.92e-03
10707CCN3 levelsGCST902424927.92e-03
10708Mean corpuscular volume | Blood countUKBB000004497.92e-03
10709estimated glomerular filtration rate (eGFR, minimum, inv-norm transformed)GCST904752857.91e-03
10710Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T23ECGA0000237.86e-03
10711Dried fruit consumptionGCST901329807.85e-03
10712HippSubfield lh volume Whole-hippocampal-headGCST900026887.83e-03
10713Acute pancreatitisFING000000277.82e-03
10714Total cerebellar volume (excluding Crus I vermis)GCST900201907.81e-03
10715Alanine levels (UKB data field 23460)GCST902695577.78e-03
10716Frequency of tiredness / lethargy in last 2 weeks | Mental healthUKBB000002687.77e-03
10717potassium (minimum, inv-norm transformed)GCST904763107.75e-03
10718Pancreas volumeGCST900166697.72e-03
10719RPN1 levelsGCST902409647.67e-03
10720Bladder stoneGCST904681167.66e-03
10721systolic blood pressure (SBP, maximum, inv-normal transformed)GCST904764007.65e-03
10722Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T231ECGA0002317.63e-03
10723HeightGCST900187397.62e-03
10724CD93 levelsGCST904686567.60e-03
10725Weight change compared with 1 year ago | General healthUKBB000009117.57e-03
10726Viral hepatitis C (PheCode 70.3)GCST904755537.57e-03
10727Bipolar disorderGCST0037247.49e-03
10728T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 7)GCST903205707.47e-03
10729Right ventricular end systolic volumeGCST901345897.41e-03
10730DTI TBSS L1 Cingulum cingulate gyrus LGCST903844637.38e-03
10731Umbilical hernia | digestiveUKBB000008807.35e-03
10732DNAJC9 levelsGCST904690187.34e-03
10733T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 36)GCST903208557.33e-03
10734Never eat eggs, dairy, wheat, sugar - Sugar or foods/drinks containing sugar | DietUKBB000005017.32e-03
10735Trauma exposureGCST0099827.29e-03
10736HippSubfield rh volume molecular-layer-HP-headGCST900026997.28e-03
10737Right-hemisphere control network to right-hemisphere default mode network white-matter structural connectivityGCST903028357.28e-03
10738aparc-a2009s rh volume G-pariet-inf-SupramarGCST900030247.27e-03
10739GRHPR levelsGCST904694007.26e-03
10740aseg rh volume Cerebellum-CortexGCST900026367.21e-03
10741NPPB levelsGCST904700747.19e-03
10742Left-hemisphere limbic network to right-hemisphere limbic network white-matter structural connectivityGCST903027337.19e-03
10743Open-angle glaucoma (PheCode 365.1)GCST904758727.13e-03
10744Body fat percentage (adjusted for testosterone and SHBG)GCST904321797.12e-03
10745CirrhosisGCST900186067.09e-03
10746Dermatitis and eczemaFING000004027.07e-03
10747Scar conditions and fibrosis of skin (PheCode 701.2)GCST904761987.06e-03
10748Non-cancer illness code, self-reported - type 2 diabetes | Medical conditionsUKBB000005227.05e-03
10749Pulse pressureGCST903017037.04e-03
10750Ceramide (d16:1/22:0) levelsGCST900240267.03e-03
10751Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T454ECGU0004547.01e-03
10752T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 44)GCST903206077.00e-03
10753Left-hemisphere control network to caudate white-matter structural connectivityGCST903027537.00e-03
10754LGALS3 levelsGCST901793037.00e-03
10755aparc-Desikan rh thickness GlobalMeanThicknessGCST900034796.99e-03
10756X-25371 levelsGCST902006566.98e-03
10757IL13RA1 levelsGCST904695526.95e-03
10758GRAP2/MAP4K5 ratioGCST903149826.90e-03
10759Left-hemisphere dorsal attention network to right-hemisphere control network white-matter structural connectivityGCST903026996.90e-03
10760AMOT levelsGCST904682956.86e-03
10761AmygNuclei lh volume Lateral-nucleusGCST900026486.85e-03
10762Secondary hypertensionFING000012856.84e-03
10763IDP dMRI TBSS FA Anterior limb of internal capsule LGCST900038946.83e-03
10764PPL levelsGCST904702946.81e-03
10765Lysoalkylphosphatidylcholine (O-20:0) levelsGCST900254326.80e-03
10766Endometriosis of pelvic peritoneumFING000005026.80e-03
10767Principal component-derived dietary pattern 36GCST901330416.80e-03
10768AnaemiasFING000000826.78e-03
10769Left-hemisphere control network to amygdala white-matter structural connectivityGCST903027576.77e-03
10770Colon polypGCST900186076.77e-03
10771T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 86)GCST903209056.76e-03
10772FAM3B/GUCA2A ratioGCST903147796.76e-03
10773Total lipids in small LDLGCST904996566.72e-03
10774IDP dMRI TBSS ICVF Inferior cerebellar peduncle RGCST900043376.72e-03
10775FOLR1 levelsGCST904692596.69e-03
10776Phosphatidylcholine (14:0_22:6) levelsGCST900242346.69e-03
10777Osteoarthritis, localized (PheCode 740.1)GCST904762546.69e-03
10778Primary Raynaud’s phenomenonGCST902717146.68e-03
10779Biliary atresiaGCST902964846.67e-03
10780N-palmitoyl-heptadecasphingosine (d17:1/16:0) levelsGCST902001156.66e-03
10781BA-exvivo rh volume BA3aGCST900028516.65e-03
10782Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T496ECGA0004966.64e-03
10783CEACAM16 levelsGCST904686896.64e-03
10784Bread consumption (slices per week) (UKB data field 1438)GCST901329816.62e-03
10785Smoking status (weighted GWA)GCST902673036.58e-03
10786Sphingomyelin (d18:1/14:0) levels/Sphingomyelin (d16:1/16:0) levelsGCST900245046.56e-03
10787TNFRSF4/TNFRSF9 ratioGCST903159396.56e-03
10788mean corpuscular hemoglobin concentration (MCHC, minimum, inv-norm transformed)GCST904754606.55e-03
10789ThalamNuclei rh volume MDlGCST900027486.55e-03
10790PIK3AP1 levelsGCST904702336.55e-03
10791BA-exvivo lh volume BA2GCST900028366.52e-03
10792Hemoglobin A1c levelsGCST902786326.42e-03
10793Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T450ECGU0004506.41e-03
10794IL15RA levelsGCST904695556.40e-03
10795Diastolic blood pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurementUKBB000001796.39e-03
10796Benign neoplasm of major salivary glandsFING000001576.39e-03
10797aseg lh volume Inf-Lat-VentGCST900026176.38e-03
10798Alcohol usually taken with meals | AlcoholUKBB000000256.35e-03
10799Left-hemisphere salience/ventral attention network to left-hemisphere default mode network white-matter structural connectivityGCST903027116.34e-03
10800aparc-pial rh area lateraloccipitalGCST900031846.33e-03
10801HerniaFING000006166.30e-03
10802PAPPA levelsGCST900120366.28e-03
10803Fasting glucoseGCST900022316.26e-03
10804Principal component-derived dietary pattern 30GCST901330356.25e-03
10805creatinine (maximum, inv-norm transformed)GCST904752266.25e-03
10806Volume of right anterior amygdaloid areaGCST904750006.25e-03
10807ST6GALNAC2 levelsGCST902402516.23e-03
10808Alcoholic liver diseaseFING000000576.22e-03
10809IDP dMRI TBSS L2 Inferior cerebellar peduncle RGCST900041336.21e-03
10810AKT2 levelsGCST904682776.21e-03
10811EBAG9/MITD1 ratioGCST903145666.21e-03
10812Urine N-acetylglutamate levels in chronic kidney diseaseGCST902655696.20e-03
10813Migraine without aura and triptan purchasesFING000008226.16e-03
10814LTBR levelsGCST902431766.15e-03
10815Other embolism and thrombosisFING000010436.14e-03
10816Sjögren's syndromeGCST900187006.13e-03
10817Pulse pressureGCST904727856.12e-03
10818Mood swings | Mental healthUKBB000004826.10e-03
10819Red blood cell countGCST900024036.07e-03
10820aparc-Desikan lh thickness postcentralGCST900034666.06e-03
10821Diverticulosis and diverticulitis (PheCode 562)GCST904760736.05e-03
10822Mouth/teeth dental problems - None of the above | MouthUKBB000004896.05e-03
10823Cholesteryl Esters in VLDLGCST905002056.05e-03
10824MME levelsGCST904699146.05e-03
10825T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 45)GCST903206086.04e-03
10826Participation in an health questionnaire (not invited vs invited)GCST900127946.03e-03
10827BSG/PCDH1 ratioGCST903135356.03e-03
10828HippSubfield lh volume GC-ML-DG-headGCST900026796.02e-03
10829Phlebitis and thrombophlebitis (PheCode 451)GCST904760036.00e-03
10830mean corpuscular hemoglobin concentration (MCHC, mean, inv-norm transformed)GCST904754565.99e-03
10831Cylindrical power (right) | AutorefractionUKBB000001625.98e-03
10832Calculus of lower urinary tractFING000002375.96e-03
10833Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T457ECGU0004575.95e-03
10834IDP dMRI TBSS L3 Superior fronto-occipital fasciculus RGCST900042135.93e-03
10835Type 2 diabetesGCST900187065.92e-03
10836EHMT2 levelsGCST902414425.92e-03
10837IDP dMRI TBSS ICVF Medial lemniscus LGCST900043365.91e-03
10838Treatment/medication code - perindopril | MedicationsUKBB000008545.90e-03
10839Bread type: Wholemeal/wholegrain vs white and brown (UKB data field 1448)GCST901329685.89e-03
10840Acute bronchitisFING000000215.88e-03
10841Dried fruit likingGCST900947565.86e-03
10842AK1 levelsGCST904682695.86e-03
10843Leiomyoma of uterusFING000007195.85e-03
10844Dried fruit intake | DietUKBB000001935.85e-03
10845Diastolic blood pressureGCST900259815.84e-03
10846Coxarthrosis, primary, with hip surgeryFING000003645.82e-03
10847IDP dMRI TBSS L1 Uncinate fasciculus LGCST900041205.82e-03
10848CLMP levelsGCST904687835.79e-03
10849Unspecified monoarthritis | musculoskeletalUKBB000008825.77e-03
10850Hip circumference (UKB data field 49)GCST904681705.76e-03
10851ESAM/FUT8 ratioGCST903147115.75e-03
10852Impedance of arm (left) | Impedance measuresUKBB000003565.74e-03
10853Open wounds of extremities (PheCode 871)GCST904762855.73e-03
10854GSTA4 levelsGCST902412835.72e-03
10855Haematocrit percentage | Blood countUKBB000002925.71e-03
10856CataractsGCST900185945.71e-03
10857SSNA1 levelsGCST904707505.70e-03
10858T1 FreeSurfer aseg Right-CaudateGCST903841625.69e-03
10859T1 FreeSurfer DK rh lateraloccipital volumeGCST903857675.69e-03
10860Disorders of vestibular function (Vertigo)FING000004645.62e-03
10861Cerebral amyloid angiopathyFING000002625.62e-03
10862DARS1 levelsGCST904689475.60e-03
10863T1 FreeSurfer DK lh precentral thicknessGCST903856455.60e-03
10864Bread intake | DietUKBB000001055.58e-03
10865Syncope and collapse | symptomsUKBB000008015.57e-03
10866Malignant neoplasm of rectum, excluding all cancers (controls excluding all cancers)FING000007715.56e-03
10867Diastolic blood pressure, automated reading, adjusted by medication | Cardiovascular measurementUKBB000001745.56e-03
10868Breast cancerGCST0072365.55e-03
10869aparc-Desikan rh area inferiorparietalGCST900031145.54e-03
10870Brugada syndromeGCST900861585.54e-03
10871Estimated glomerular filtration rate, serum creatinine | Other measurementUKBB000002125.54e-03
10872DTI autoptx L1 ilf l tractGCST903851535.53e-03
10873DTI autoptx L2 atr l tractGCST903851685.49e-03
10874aparc-DKTatlas rh area inferiorparietalGCST900032715.49e-03
10875PDLIM5 levelsGCST904701975.48e-03
10876Diastolic blood pressure, automated reading | Blood pressureUKBB000001735.44e-03
10877Medication use (agents acting on the renin-angiotensin system)GCST900187685.43e-03
10878Attention deficit hyperactivity disorder (ADuLT model adjusted for sex)GCST902751365.43e-03
10879IDP dMRI TBSS MD Body of corpus callosumGCST900040305.42e-03
10880ADM/CLMP ratioGCST903131975.41e-03
10881Hot drink temperature | DietUKBB000003295.40e-03
10882Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T234ECGA0002345.38e-03
10883Immature fraction of reticulocytesGCST0046285.37e-03
10884Preterm labour and deliveryFING000012095.37e-03
10885rfMRI connectivity (ICA100 edge 614)GCST900054675.34e-03
10886aparc-Desikan rh volume lateraloccipitalGCST900028115.33e-03
10887CEACAM20 levelsGCST904686935.31e-03
10888Benign neoplasm: RectumFING000001965.31e-03
10889Forced expiratory volume in 1-second (FEV1), predicted percentage | SpirometryUKBB000002535.27e-03
10890IDP dMRI TBSS MD External capsule LGCST900040605.27e-03
10891Alanine aminotransferase levelsGCST902786175.27e-03
10892Eosinophil count varianceGCST905656895.26e-03
10893aparc-a2009s lh volume S-calcarineGCST900029685.25e-03
10894aparc-a2009s rh area G-oc-temp-med-LingualGCST900033925.24e-03
10895aparc-Desikan lh area lingualGCST900030855.24e-03
10896Other obstetric traumaFING000010825.21e-03
10897Right-hemisphere dorsal attention network to thalamus white-matter structural connectivityGCST903028065.19e-03
10898Sodium (mean, inv-norm transformed)GCST904763955.18e-03
10899Retinal thickness (functional principal component 3)GCST904557235.17e-03
10900Spondylosis without myelopathy (PheCode 721.1)GCST904762365.17e-03
10901Operative procedures - Unspecified diagnostic endoscopic examination of bladder | Summary OperationsUKBB000005905.14e-03
10902Estimated glomerular filtration rate based on creatinine and cystatin C in bottom 99% of individuals by creatinine levelsGCST905667375.13e-03
10903Diastolic blood pressure, combined automated + manual reading | Cardiovascular measurementUKBB000001775.13e-03
10904GPIHBP1 levelsGCST904693905.13e-03
10905ICD10 N87: Dysplasia of cervix uteriGCST904542185.12e-03
10906Fasting blood glucoseGCST0005685.12e-03
10907FEV1/FVC ratio | Other measurementUKBB000002455.12e-03
10908Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T55ECGA0000555.10e-03
10909UBAC1 levelsGCST904709995.10e-03
10910IDP dMRI TBSS L2 Corticospinal tract RGCST900041295.09e-03
10911CLIC5 levelsGCST904217405.08e-03
10912Phlebitis and thrombophlebitis (not including DVT)FING000011655.04e-03
10913Disorders of breastFING000004375.02e-03
10914T1 FreeSurfer DKT rh lateraloccipital areaGCST903842955.01e-03
10915DTI TBSS L2 Cingulum hippocampus LGCST903845135.00e-03
10916OsteoarthritisGCST901342794.99e-03
10917Ever SmokerFING000005224.98e-03
10918Psoriasis (vulgaris), strict definitionFING000012234.98e-03
10919EPO/TFRC ratioGCST903146844.95e-03
10920Left-hemisphere dorsal attention network to right-hemisphere default mode network white-matter structural connectivityGCST903027004.94e-03
10921Edema (PheCode 782.3)GCST904762724.94e-03
10922HippSubfield lh volume Whole-hippocampal-bodyGCST900026874.92e-03
10923Diastolic blood pressure (UKB data field 4079)GCST904681634.91e-03
10924Lysoalkylphosphatidylcholine (O-20:0) levelsGCST900241934.91e-03
10925Obstructed labour due to maternal pelvic abnormalityFING000008994.88e-03
10926T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 124)GCST903209434.88e-03
10927Bicarbonate (mean, inv-norm transformed)GCST904751484.87e-03
10928Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T441ECGU0004414.87e-03
10929IDP dMRI TBSS L2 Superior cerebellar peduncle LGCST900041364.86e-03
10930Left-hemisphere default mode network to right-hemisphere control network white-matter structural connectivityGCST903027654.85e-03
10931Chronic renal failure [CKD] (PheCode 585.3)GCST904761234.85e-03
10932T1 FreeSurfer DKT rh lateraloccipital volumeGCST903843574.83e-03
10933T1 FreeSurfer aseg 3rd-VentricleGCST903841474.83e-03
10934Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T458ECGU0004584.81e-03
10935aparc-a2009s rh area G-pariet-inf-AngularGCST900033954.80e-03
10936Age first had sexual intercourse | Sexual factorsUKBB000000144.80e-03
10937Panic attacks | Mental distressUKBB000006344.79e-03
10938Calcium levelsGCST900187314.78e-03
10939Impedance of arm left (UKB data field 23110)GCST904681714.76e-03
10940Chronic pain (confirmatory factor analysis Factor 18)GCST903093524.75e-03
10941aparc-a2009s lh volume S-postcentralGCST900029914.74e-03
10942Emotional neglectGCST905518464.74e-03
10943Cholesterol to Total Lipids in Small LDL percentageGCST904995644.71e-03
10944Microscopic colitisGCST902041444.66e-03
10945Right-hemisphere control network to thalamus white-matter structural connectivityGCST903028364.66e-03
10946Phosphatidylcholine (34:5) levelsGCST900242864.65e-03
10947Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T212ECGU0002124.64e-03
10948Mean reticulocyte volume | Blood countUKBB000004514.60e-03
10949Frequency of friend/family visits | Social supportUKBB000002624.58e-03
10950IDP dMRI TBSS MO Posterior limb of internal capsule RGCST900039704.57e-03
10951Volume of left whole amygdalaGCST904749884.53e-03
10952T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 42)GCST903206054.53e-03
10953Breast conditions, congenital or relating to hormones (PheCode 612)GCST904761624.52e-03
10954T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 78)GCST903208974.48e-03
10955HemoglobinGCST900187374.47e-03
10956Pulse pressureGCST903102964.47e-03
10957Lysophosphatidylcholine (24:0) [sn1] levelsGCST900254254.47e-03
10958Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T489ECGA0004894.46e-03
10959CUZD1 levelsGCST904689194.42e-03
10960AFP levelsGCST904682504.42e-03
10961aparc-a2009s rh volume S-collat-transv-antGCST900030484.42e-03
10962Immature fraction of reticulocytesGCST900259714.42e-03
10963Mean corpuscular volumeGCST900023924.37e-03
10964aparc-DKTatlas lh area lingualGCST900032454.35e-03
10965Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T47ECGU0000474.35e-03
10966CD59/PI3 ratioGCST903138584.34e-03
109675,6-dihydrouridine levelsGCST901997674.31e-03
10968T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 127)GCST903206904.30e-03
10969aparc-DKTatlas rh thickness pericalcarineGCST900035904.30e-03
10970TMED8 levelsGCST904708854.29e-03
10971Chronic obstructive pulmonary disease liability (machine learning-based score)GCST902440984.29e-03
10972Endometriosis diagnosis and infertility diagnosis occurring togetherFING000004994.26e-03
10973ICD10 C50.9: Malignant neoplasm of breast of unspecified siteGCST900438894.25e-03
10974Pelvic widthGCST904489114.25e-03
10975aparc-DKTatlas lh volume rostralmiddlefrontalGCST900028874.22e-03
10976ALPP/MSLN ratioGCST903132504.22e-03
10977Pelvic organ prolapseGCST901024704.20e-03
10978IDP dMRI ProbtrackX ISOVF cgc rGCST900045304.16e-03
10979IL1RL1 levelsGCST902415814.14e-03
10980Attention deficit hyperactivity disorder (adjusted for age, sex)GCST902751474.11e-03
10981Retinal detachment with retinal breakFING000012594.11e-03
10982TNFRSF19 levelsGCST904709094.10e-03
10983Abnormal heart sounds (PheCode 396)GCST904759164.09e-03
10984T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 26)GCST903208454.08e-03
10985aparc-DKTatlas lh area fusiformGCST900032394.07e-03
10986Left-hemisphere control network to thalamus white-matter structural connectivityGCST903027524.05e-03
10987IDP dMRI ProbtrackX L1 ilf rGCST900042614.05e-03
10988Left ventricular outflow tract obstruction (LVOTO), broad definitionFING000007174.03e-03
10989GRAP2/PTPN6 ratioGCST903149864.03e-03
10990AsthmaGCST0068624.03e-03
10991Acid reflux/GERDGCST904753204.02e-03
10992T1 FreeSurfer DK lh lingual thicknessGCST903856344.00e-03
10993Urate | Blood biochemistryUKBB000008843.98e-03
10994Electrocardiogram morphology (amplitude at temporal datapoints) adjusted, T492ECGA0004923.98e-03
10995FADD/PTPN6 ratioGCST903147753.97e-03
10996Red cell distribution width varianceGCST905657053.96e-03
10997Citrulline levelsGCST902434583.95e-03
10998Biological Mother: Coronary Artery / Coronary Heart DiseaseGCST904754883.94e-03
10999Corneal hysteresis (left) | Intraocular pressureUKBB000001483.93e-03
11000ThalamNuclei rh volume CeMGCST900027513.92e-03