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FIB.interstitial: Studies

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.

Subtype · 15,719 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 1–1,000 of 12,313; ranked by score descending. Equal values use name/identifier order.

Studies ranked for FIB.interstitial
#Trait / studyIndividual trait IDMean IC score
1Hallux valgus (acquired)FING00000601110.43
2Inguinal herniaFING0000068177.18
3Abdominal hernia | digestiveUKBB0000000267.61
4Heel Broadband ultrasound attenuation, direct entry | Bone-densitometry of heelUKBB0000032162.83
5Inguinal hernia | digestiveUKBB0000036262.38
6Operative procedures - Primary repair of inguinal hernia using insert of prosthetic material | Summary OperationsUKBB0000058762.30
7HerniaFING0000061661.87
8Inguinal hernia | HerniaUKBB0000036359.95
9Hip width to body height ratioGCST9027026055.01
10Heel bone mineral density (BMD) | Bone-densitometry of heelUKBB0000031553.16
11Heel quantitative ultrasound index (QUI), direct entry (right) | Bone-densitometry of heelUKBB0000032352.88
12Heel bone mineral density (BMD) T-score, automated (right) | Bone-densitometry of heelUKBB0000031752.87
13Heel bone mineral density (BMD) T-score, automated | Bone-densitometry of heelUKBB0000031852.85
14Heel quantitative ultrasound index (QUI), direct entry | Bone-densitometry of heelUKBB0000032452.85
15Heel bone mineral density (BMD) (right) | Bone-densitometry of heelUKBB0000031452.45
16Waist circumference adjusted for body mass indexGCST9002002952.37
17Oblique pelvic inlet lengthGCST9044890952.26
18T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 42)GCST9032060550.89
19Intra-ocular pressure, Goldmann-correlated (left) | Intraocular pressureUKBB0000037650.16
20Heel bone mineral density (BMD) (left) | Bone-densitometry of heelUKBB0000031349.95
21Carpal tunnel syndromeFING0000025749.46
22Heel quantitative ultrasound index (QUI), direct entry (left) | Bone-densitometry of heelUKBB0000032248.99
23Heel bone mineral density (BMD) T-score, automated (left) | Bone-densitometry of heelUKBB0000031648.99
24Waist circumference adjusted for body mass indexGCST9030289247.82
25Intraocular pressure (confirmatory factor analysis Factor 26)GCST9030936047.75
26A body shape indexGCST9002002447.53
27Hip indexGCST01222947.20
28Intra-ocular pressure, Goldmann-correlated (right) | Intraocular pressureUKBB0000037745.90
29Abdominal hernia (PheCode 550)GCST9047605945.19
30VNN2 levelsGCST9061851044.90
31Ankle spacing width | Bone-densitometry of heelUKBB0000003543.58
32Bone density (confirmatory factor analysis Factor 19)GCST9030935343.49
33Ventral hernia (PheCode 550.5)GCST9047606343.37
34Central corneal thicknessGCST00636642.63
35CBLN4 levelsGCST9046855442.45
36Eye conditions (confirmatory factor analysis Factor 25)GCST9030935942.18
37HeightGCST9001873941.91
38Heel bone mineral densityGCST00628841.80
39Forced expiratory volume in 1-second (FEV1), predicted | SpirometryUKBB0000025241.76
40HSPG2/IGFBP6 ratioGCST9031509141.39
41Autorefraction - 6mm strong meridian (left) | EyesightUKBB0000007541.27
42TNXB levelsGCST9047093041.22
43Autorefraction - 6mm weak meridian (left) | EyesightUKBB0000007940.07
44Prescriptions - latanoprost | prostaglandin analogUKBB0000068639.92
45ROBO2 levelsGCST9047049039.79
46Prescriptions - prostaglandin analogUKBB0000069739.71
47Iliac isthmus breadthGCST9044890739.64
48Heel broadband ultrasound attenuation (left) | Bone-densitometry of heelUKBB0000031939.62
49Autorefraction - 6mm asymmetry index (right) | EyesightUKBB0000007439.22
50Waist-hip indexGCST9002002739.21
51Corneal resistance factorGCST9010056839.17
52Impedance of arm right (UKB data field 23109)GCST9046817239.16
53Waist-to-hip ratio adjusted for BMIGCST9002002538.43
54HeightGCST9027863738.12
55Dupuytren's diseaseGCST9030125237.92
56Impedance of arm (right) | Impedance measuresUKBB0000035737.79
57Waist-hip indexGCST01222837.41
58Sitting height | Body size measuresUKBB0000077137.33
59Fracture of forearmGCST9028127337.32
60Autorefraction - 3mm weak meridian (right) | EyesightUKBB0000007037.18
61Autorefraction - 3mm weak meridian (left) | EyesightUKBB0000006936.85
62Operation code - inguinal/femoral hernia repair | OperationsUKBB0000056136.76
63Waist-to-hip ratio adjusted for BMIGCST01223036.71
64height (minimum, inv-normal transformed)GCST9047536536.68
65height (mean, inv-normal transformed)GCST9047536236.67
66Impedance of arm left (UKB data field 23110)GCST9046817136.47
67Height (maximum, inv-normal transformed)GCST9047535936.16
68Appendicular lean massGCST9000002736.02
69Waist-to-Hip ratio | Body measurementUKBB0000090535.59
70Impedance of arm (left) | Impedance measuresUKBB0000035635.42
71Lung function (FVC)GCST00742935.34
72Heel broadband ultrasound attenuation (right) | Bone-densitometry of heelUKBB0000032035.24
73What is your height? (cm, inv-normal transformed)GCST9047536835.12
74Forced vital capacity (FVC) | SpirometryUKBB0000025435.04
75T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 90)GCST9032090934.96
76Diaphragmatic hernia (PheCode 550.2)GCST9047606134.44
77Pulse pressureGCST9030170334.08
78Autorefraction - 6mm weak meridian (right) | EyesightUKBB0000008034.03
79Osteoporosis, osteopenia and pathological fracture (PheCode 743)GCST9047625834.01
80Autorefraction - 3mm strong meridian (right) | EyesightUKBB0000006633.98
81Seated height | Body size measuresUKBB0000076333.65
82Pulse pressureGCST9030170133.50
83Appendicular lean massGCST9000002533.31
84Hallux valgus (Bunion) (PheCode 735.3)GCST9047625133.06
85Autorefraction - 6mm strong meridian (right) | EyesightUKBB0000007632.84
86HeightGCST9030289032.81
87Standing height | Body size measuresUKBB0000079632.77
88Femur length to body height ratioGCST9027025632.75
89Corneal resistance factor (left) | Intraocular pressureUKBB0000015032.74
90Kyphosis (MTAG)GCST9057004732.62
91Corneal resistance factor (right) | Intraocular pressureUKBB0000015132.43
92Height, inverse-rank normalizedFING0000060732.43
93T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 68)GCST9032088732.38
94Autorefraction - 3mm strong meridian (left) | EyesightUKBB0000006532.22
95Impedance of whole body (UKB data field 23106)GCST9046817332.04
96Autorefraction - 6mm strong meridian angle (right) | EyesightUKBB0000007831.91
97Gout (PheCode 274.1)GCST9004366231.60
98Diaphragmatic herniaFING0000041931.57
99Appendicular lean massGCST9000002631.56
100Pulse pressureGCST9047278531.24
101Standing height (UKB data field 50)GCST9046817830.57
102Corneal resistance factorGCST9030868230.27
103Pelvic inlet widthGCST9044891030.20
104Tibia length to body height ratioGCST9027025829.98
105Height (baseline)GCST9056584329.82
106Corneal hysteresis (right) | Intraocular pressureUKBB0000014929.65
107Impedance of whole body | Impedance measuresUKBB0000036029.61
108Inguinal hernia (PheCode 550.1)GCST9047606029.57
109Pulse pressureGCST9030170229.55
110C21orf58 levelsGCST9061838029.47
111Subclinical hyperthyroidism in pregnancyGCST9043519929.42
112Fracture of forearmFING0000055429.28
113Phenylalanine levelsGCST9024340729.27
114Height (standard GWA)GCST9026728429.14
115Diverticular disease of intestine | Other diseases of intestinesUKBB0000018929.11
116Osteoporosis NOS (PheCode 743.11)GCST9047626029.06
117Open-angle glaucoma (PheCode 365.1)GCST9047587229.04
118Hand grip strength right (UKB data field 47)GCST9046816928.83
119Body size (confirmatory factor analysis Factor 21)GCST9030935528.65
120T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 82)GCST9032064528.59
121COL6A3/CST3 ratioGCST9031417428.52
122Waist circumference adjusted for body mass indexGCST01222628.48
123Hip indexGCST9002002628.36
124Disorders of muscle, ligament, and fascia | musculoskeletalUKBB0000018728.17
125Hip circumference adjusted for BMIGCST01222728.13
126Osteoporosis (PheCode 743.1)GCST9047625928.04
127GlaucomaGCST9047586927.82
128Female genital prolapseFING0000053527.76
129Pelvic widthGCST9044891127.68
130Impedance of leg (right) | Impedance measuresUKBB0000035927.65
131aparc-a2009s rh volume S-centralGCST9000304327.51
132RET levelsGCST9047045827.47
133Corneal hysteresis (left) | Intraocular pressureUKBB0000014827.44
134Alzheimer's disease (MTAG)GCST9044905527.40
135T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 24)GCST9032058727.26
136Impedance of leg (left) | Impedance measuresUKBB0000035827.16
137IGFBP6/SMOC2 ratioGCST9031513827.12
138ROBO2/SCARF2 ratioGCST9031578427.01
139EGFR/FAP ratioGCST9031461326.97
140Diverticulosis | digestiveUKBB0000019026.82
141Diverticulosis and diverticulitis | digestiveUKBB0000019126.82
142COL6A3/SMOC2 ratioGCST9031417826.81
143Umbilical hernia (PheCode 550.4)GCST9047606226.77
144Forced vital capacity FVC Z score (UKB data field 20257)GCST9046816726.77
145Diverticulosis and diverticulitis (PheCode 562)GCST9047607326.58
146Hip circumference adjusted for BMIGCST9002002826.28
147Comparative height size at age 10 | Early life factorsUKBB0000014326.23
148Contracture of palmar fascia [Dupuytren's disease] | musculoskeletalUKBB0000014626.22
149Pulse pressure, automated reading | Cardiovascular measurementUKBB0000071525.97
150Pulse pressure, automated reading | Cardiovascular measurementUKBB0000071425.93
151VCAN levelsGCST9047103225.55
152Pulse pressure, combined automated + manual reading | Cardiovascular measurementUKBB0000071925.48
153IDP dMRI TBSS MD Pontine crossing tractGCST9000402825.37
154Pelvic organ prolapseGCST9010247025.25
155Pulse pressure, combined automated + manual reading | Cardiovascular measurementUKBB0000071825.24
156SCARA5 levelsGCST9047053325.17
157Progressive vascular leukoencephalopathyFING0000121824.84
158Retinal breaks without detachmentFING0000125824.52
159Pulse pressureGCST9047278324.50
160Hand grip strength (right) | Hand grip strengthUKBB0000030124.49
161IDP T1 FAST ROIs R occ poleGCST9000254624.13
162Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T5ECGU00000524.09
163Dermatochalasis (PheCode 374.6)GCST9047589423.90
164Pulse pressureGCST9031029623.52
165Haemorrhoids and perianal venous thrombosisFING0000059923.45
166BOC levelsGCST9046845823.45
167T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 37)GCST9032085623.38
168Barrett's esophagus (PheCode 530.13)GCST9047604823.32
169PSPN levelsGCST9047036423.23
170Autorefraction - 6mm asymmetry index (left) | EyesightUKBB0000007323.19
171Physical function (baseline)GCST9056583723.17
172FGR levelsGCST9046923623.13
173Waist-to-hip ratio adjusted for BMIGCST9002599623.07
174DTI autoptx FA str r tractGCST9038513623.04
175Age-related eyesight deterioration (confirmatory factor analysis Factor 27)GCST9030936123.00
176Hand grip strength left (UKB data field 46)GCST9046816822.98
177ZNRF4 levelsGCST9047110422.89
178Haemorrhoidal diseaseGCST9001403322.84
179Maximum carotid IMT (intima-medial thickness) at 240 degrees | Carotid ultrasoundUKBB0000042922.76
180Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T9ECGU00000922.67
181BA-exvivo rh volume BA4pGCST9000285422.65
182Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T4ECGU00000422.60
183Glaucoma (primary open-angle)GCST9039972522.28
184Forearm length to body height ratioGCST9027025722.26
185IDP dMRI TBSS OD FornixGCST9000440722.24
186Coronary artery calcificationGCST9027845622.09
187aparc-DKTatlas rh area inferiorparietalGCST9000327121.99
188BA-exvivo rh volume BA3aGCST9000285121.97
189Umbilical hernia | digestiveUKBB0000088021.64
190Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T3ECGU00000321.61
191Diverticulosis (PheCode 562.1)GCST9047607621.59
192Pelvic heightGCST9044891221.55
193Operation code - haemorroidectomy / piles surgery/ banding of piles | OperationsUKBB0000055721.48
194CNTN1 levelsGCST9046880321.26
195TNC levelsGCST9047089521.14
196T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 126)GCST9032068921.07
197Ribothymidine levels in chronic kidney diseaseGCST9025755421.05
198Intestinal infectious diseasesFING0000068921.03
199Pulse pressure, automated reading, adjusted by medication | Cardiovascular measurementUKBB0000071721.03
200Umbilical hernia | HerniaUKBB0000088120.97
201ScoliosisFING0000128120.88
202Pulse pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurementUKBB0000072120.74
203BA-exvivo lh area entorhinalGCST9000322020.71
204Pulse pressure, automated reading, adjusted by medication | Cardiovascular measurementUKBB0000071620.71
205Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T8ECGU00000820.68
206COL6A3/COLEC12 ratioGCST9031417320.67
207Hand grip strength (baseline)GCST9056584520.67
208Fasciitis | musculoskeletalUKBB0000023920.65
209Pulse pressure, combined automated + manual reading, adjusted by medication | Cardiovascular measurementUKBB0000072020.63
210Anterior thigh muscle volumeGCST9026734920.55
211EFEMP1/TGFBR3 ratioGCST9031459720.52
212BCAN/DPP6 ratioGCST9031347820.08
213diastolic blood pressure (DBP, mean, inv-normal transformed)GCST9047525519.93
214Primary open-angle glaucoma, strictFING0000121419.88
215IDP dMRI ProbtrackX MO str rGCST9000402419.82
216T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 41)GCST9032060419.73
217Aortic aneurysm (PheCode 442.1)GCST9047599319.63
218Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T6ECGU00000619.61
219Pulse pressureGCST9047278419.60
220T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 127)GCST9032069019.57
221Female genital prolapse | Noninflammatory disorders of female genital tractUKBB0000024419.55
222DLK1/FAP ratioGCST9031449119.54
223A body shape indexGCST01223119.49
224T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 77)GCST9032089619.34
225aparc-Desikan rh area inferiorparietalGCST9000311419.19
226C7 levelsGCST9042233219.06
227Treatment speciality of consultant (recoded) - Ophthalmology | Summary AdministrationUKBB0000083519.05
228Operative procedures - Palmar fasciectomy | Summary OperationsUKBB0000058619.03
229Palmar fascial fibromatosis [Dupuytren]FING0000114118.99
230aseg global volume-ratio BrainSegVol-to-eTIVGCST9000261218.93
231Glaucoma suspectFING0000057918.91
232EIF4G1/TBC1D23 ratioGCST9031463918.86
233FAP levelsGCST9046918918.79
234Calcific aortic valve stenosisGCST9031029318.70
235Descending aorta diameterGCST9026739118.70
236FracturesGCST00698018.65
237Height (weighted GWA)GCST9026728518.62
238T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 57)GCST9032062018.52
239T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 91)GCST9032065418.51
240Ankle spacing width (right) | Bone-densitometry of heelUKBB0000003418.47
241Fibroblastic disorders | Other soft tissue disordersUKBB0000024618.30
242Other aneurysm (PheCode 442)GCST9047599218.21
243Bone density T-scoreGCST9027862018.18
244T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 123)GCST9032068618.15
245Glaucoma (multi-trait analysis)GCST00972218.11
246T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 41)GCST9032086018.08
247Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T2ECGU00000218.05
248CTSD/PRCP ratioGCST9031431217.97
249IDP dMRI TBSS L3 FornixGCST9000417617.92
250T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 98)GCST9032066117.83
251T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 47)GCST9032086617.75
252GlaucomaGCST9001863217.68
253OLR1 levelsGCST9001202017.67
254Aortic aneurysmFING0000010217.62
255Myopia (PheCode 367.1)GCST9047588017.59
256COMP/MYOC ratioGCST9031419117.52
257CLMP/PIK3IP1 ratioGCST9031413417.49
258Hand grip strength (left) | Hand grip strengthUKBB0000030017.48
259Subpubic angleGCST9044890817.46
260T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 84)GCST9032090317.46
261IDP dMRI TBSS MD External capsule LGCST9000406017.45
262Intraocular pressureGCST00407417.41
263T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 76)GCST9032089517.36
264COL4A1 levelsGCST9046881817.31
265Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T7ECGU00000717.25
266IDP T1 FAST ROIs L caudateGCST9000254917.23
267IDP dMRI TBSS L1 FornixGCST9000408017.17
268Forced expiratory volume (baseline)GCST9056584416.96
269DTI autoptx L3 str r tractGCST9038521716.95
270Autorefraction - 3mm strong meridian angle (left) | EyesightUKBB0000006716.93
271Prolapse of vaginal walls | genitourinaryUKBB0000071216.93
272Diaphragmatic hernia | digestiveUKBB0000017116.90
273Humerus length to body height ratioGCST9027025916.87
274Retinal detachments and defects | sense organsUKBB0000075616.85
275Bone density Z-scoreGCST9027862116.83
276IDP dMRI TBSS MD FornixGCST9000403216.77
277Operative procedures - Angiocardiography of left side of heart NEC | Summary OperationsUKBB0000057216.74
278Hammer toe (acquired) (PheCode 735.21)GCST9047625016.69
279Blood cell traits latent factor 21 (red cell)GCST9055926316.69
280Macular degenerationGCST9047538616.67
281Spondylolisthesis/SpondylolysisFING0000132416.62
282QC T1 inverse SNRGCST9000634816.61
283COL24A1 levelsGCST9046881416.53
284BCL2 levelsGCST9046843316.46
285IDP dMRI TBSS MO FornixGCST9000395716.44
286Fractured/broken bones in last 5 years | Medical conditionsUKBB0000025816.40
287T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 60)GCST9032062316.36
288HSPG2/SMOC2 ratioGCST9031509316.32
289Calcific aortic valvular stenosis, operatedFING0000023416.29
290COL6A3/OGN ratioGCST9031417716.29
291Right-hemisphere visual network to right-hemisphere control network white-matter structural connectivityGCST9030277916.16
292T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 54)GCST9032087316.13
293Operation code - inguinal hernia repair | OperationsUKBB0000056016.02
294Cerebrospinal fluid 3-hydroxyhexanoate levelsGCST9031810816.01
295RFC4 levelsGCST9047046015.98
296PRELP levelsGCST9047032115.89
297Maximum indexed left atrial volumeGCST9001901215.88
298Knee extension strengthGCST9031950215.86
299Deforming dorsopathiesFING0000038515.75
300CD34 levelsGCST9046862615.68
301Glaucoma (primary open-angle)GCST9001176815.63
302T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 45)GCST9032060815.60
303Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T10ECGU00001015.57
304Volume of right accessory basal nucleusGCST9047500615.55
305Descending aorta strainGCST9026738915.54
306T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 115)GCST9032067815.53
307T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 11)GCST9032057415.46
308CDON levelsGCST9046868715.46
309Takes medication for Macular Degeneration?GCST9047538715.44
310Trunk fat-free mass | Impedance measuresUKBB0000086515.35
311aparc-a2009s lh volume S-centralGCST9000296915.35
312Thoracic aortic aneurysmFING0000135715.34
313T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 64)GCST9032088315.28
314Synovitis and tenosynovitis (PheCode 727.1)GCST9047624215.25
315IDP dMRI TBSS L2 FornixGCST9000412815.23
316aparc-Desikan lh area lingualGCST9000308515.23
317Operative procedures - Insertion of prosthetic replacement for lens NEC | Summary OperationsUKBB0000058315.18
318Trunk predicted mass | Impedance measuresUKBB0000086615.16
319aparc-pial rh area inferiorparietalGCST9000318115.08
320CD200R1 levelsGCST9046860515.01
321Other mental disorders due to brain damage and dysfunction and to physical diseaseFING0000107214.97
322HeightGCST9002594914.93
323Genital prolapse | genitourinaryUKBB0000028214.91
324Primary open angle glaucoma (PheCode 365.11)GCST9047587514.88
325T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 26)GCST9032084514.87
326Osteoporosis NOS | musculoskeletalUKBB0000059914.79
327Osteoporosis | musculoskeletalUKBB0000059814.78
328Autorefraction - 3mm cylindrical power (left) | EyesightUKBB0000006214.76
329MAMDC2 levelsGCST9046984114.73
330Undecenoylcarnitine (C11:1) levelsGCST9020023614.72
331Takes medication for Glaucoma?GCST9047538414.68
332LGALS3 levelsGCST9046976114.58
333aparc-DKTatlas lh area lingualGCST9000324514.54
334Disorders of choroid and retinaFING0000043814.53
335PSG1 levelsGCST9047035314.47
336Forced expiratory volume in 1-second (FEV1) | SpirometryUKBB0000025114.46
337Ankle spacing width (left) | Bone-densitometry of heelUKBB0000003314.44
338BlepharochalasisFING0000022014.38
339Abdominal aortic aneurysm (PheCode 442.11)GCST9047599414.29
340End-diastolic bi-ventricular shape (principal component 4)GCST9044848314.28
341Retinal detachments and breaks | Disorders of choroid and retinaUKBB0000075514.26
342MYOC levelsGCST9046998314.25
343Low hand grip strength (60 years and older) (EWGSOP)GCST9000752614.23
344Phenylacetylcarnitine levelsGCST9019999314.23
345BA-exvivo lh volume entorhinalGCST9000284814.21
346aparc-a2009s lh thickness S-intrapariet+P-transGCST9000365814.14
347T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 58)GCST9032062114.14
348IDP dMRI TBSS MD Corticospinal tract RGCST9000403314.11
349IDP dMRI TBSS MO Medial lemniscus RGCST9000396014.11
350Use of antiglaucoma preparations and mioticsFING0000140914.06
351Fibroblastic disordersFING0000054214.06
352CDON/SCARA5 ratioGCST9031399513.99
353Retinal detachment with retinal defect | sense organsUKBB0000075413.98
354aparc-a2009s lh area S-collat-transv-antGCST9000334613.98
355IDP dMRI ProbtrackX L3 unc lGCST9000432513.95
356Macular degeneration, wet (PheCode 362.22)GCST9047585213.94
357SLITRK6 levelsGCST9047067113.93
358Incisional hernia (PheCode 550.6)GCST9047606413.92
359BPIFB1/GLRX ratioGCST9031353013.87
360ADAMTS8 levelsGCST9046822713.86
361LTBP2 levelsGCST9046981413.82
362MATN2 levelsGCST9046986413.77
363aseg global volume WM-hypointensitiesGCST9000260413.77
364Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T1ECGU00000113.77
365Torso length to body height ratioGCST9027026213.76
366Macular degeneration (senile) of retina NOS (PheCode 362.29)GCST9047585713.74
367aparc-a2009s lh volume G-cuneusGCST9000293513.70
368CCN3/FAP ratioGCST9031372113.70
369NPL levelsGCST9047007213.69
370IDP dMRI TBSS L1 External capsule LGCST9000410813.65
371COMP/DPP4 ratioGCST9031418813.64
372wg lh intensity-contrast entorhinalGCST9000379713.64
373IDP dMRI TBSS ISOVF FornixGCST9000448213.63
374ADGRD1 levelsGCST9046823513.58
375Urine glucuronide of C10H18O2 (12)* levels in chronic kidney diseaseGCST9026518913.56
376aseg global volume 4th-VentricleGCST9000260013.54
377aparc-a2009s lh volume G-precentralGCST9000295313.51
378T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 75)GCST9032089413.50
379ENG levelsGCST9046910813.44
380Spontaneous coronary artery dissectionGCST9024587813.44
381T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 52)GCST9032087113.40
382Operation code - carpal tunnel surgery | OperationsUKBB0000055313.36
383O-sulfo-l-tyrosine levelsGCST9024362313.33
384QC rfMRI-to-T1 linear alignment discrepancyGCST9000635313.33
385Valine levelsGCST9024345313.33
386IDP dMRI TBSS L2 Pontine crossing tractGCST9000412413.33
387Sleep apnea (MTAG) (adjusted for BMI)GCST9026736413.31
388HMCN2 levelsGCST9046946113.29
389Endometriosis of ovaryFING0000050113.24
390TNC/VCAM1 ratioGCST9031592713.21
391Autorefraction - 3mm strong meridian angle (right) | EyesightUKBB0000006813.17
392Diverticular disease of intestineFING0000047113.13
393Carotid intima-media thickness (MTAG)GCST9044906113.12
394IDP dMRI ProbtrackX FA ilf lGCST9000393913.01
395EGFR levelsGCST9046908513.00
396T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 110)GCST9032092912.95
397Hypertrophy of breastFING0000064412.93
398T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 125)GCST9032094412.90
399FCRL2/TNFRSF13B ratioGCST9031480112.88
400Perforation of tympanic membraneFING0000115512.87
401DLK1/PIK3IP1 ratioGCST9031449212.87
402Whole body water mass | Impedance measuresUKBB0000091612.86
403Pulse pressure (BMI adjusted)GCST9033516712.86
404SnoringGCST00976112.84
405GlaucomaGCST9046812912.83
406Main speciality of consultant (recoded) - Ophthalmology | Summary AdministrationUKBB0000041912.81
407Retinal thickness (functional principal component 2)GCST9045572212.79
408aparc-a2009s lh thickness G-precuneusGCST9000363212.75
409Autorefraction - 3mm cylindrical power (right) | EyesightUKBB0000006312.72
410Volume of right basal nucleusGCST9047501212.65
411BA-exvivo lh volume BA3aGCST9000283712.65
412Ventral herniaFING0000142812.65
413Urinary ethanolamine to urinary creatinine ratioGCST9045171712.61
414GlaucomaFING0000057712.57
415APOF levelsGCST9046833912.54
416aparc-a2009s lh area G-cuneusGCST9000330712.50
417Whole body fat-free mass | Impedance measuresUKBB0000091512.37
418IDP dMRI TBSS L2 Sagittal stratum LGCST9000415412.34
419aparc-a2009s rh area S-collat-transv-antGCST9000342012.34
420AOC3 levelsGCST9046832212.32
421Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T13ECGU00001312.30
422SIL1 levelsGCST9047063812.27
423wg rh intensity-contrast parahippocampalGCST9000384212.19
424CREG1/NAAA ratioGCST9031425012.19
425COL6A3/HSPG2 ratioGCST9031417512.18
426aparc-DKTatlas lh thickness cuneusGCST9000354312.17
427Fracture at wrist and hand levelFING0000055112.14
428aparc-Desikan lh volume precentralGCST9000279112.13
429IDP dMRI TBSS L3 External capsule RGCST9000420312.12
430Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T12ECGU00001212.11
431COLEC12/OGN ratioGCST9031418412.10
432IDP T1 FAST ROIs R caudateGCST9000255012.05
433Diaphragmatic hernia | HerniaUKBB0000017212.04
434aparc-DKTatlas rh area cuneusGCST9000326812.04
435Cerebrospinal fluid unidentified metabolite levels (HILIC Metabolomics ID: 3.04_132.06)GCST9029158212.02
436AnginaGCST9046810912.01
437aseg global volume EstimatedTotalIntraCranialGCST9000259712.01
438Corneal opacity and other disorders of cornea (PheCode 364)GCST9047586112.00
439IDP dMRI ProbtrackX MD unc lGCST9000424411.98
440PILRA/TNFRSF1A ratioGCST9031565511.96
441T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 68)GCST9032063111.92
442Left-hemisphere somatomotor network to thalamus white-matter structural connectivityGCST9030268211.91
443SMOC2 levelsGCST9047068311.89
444Illnesses of father - Heart disease | Family historyUKBB0000034211.87
445ADAMTSL2 levelsGCST9046822811.86
446Other intervertebral disc disordersFING0000106311.81
447Spinal stenosis of lumbar region (PheCode 720.1)GCST9047623411.78
448ADGRB3 levelsGCST9046823411.78
449PECAM1/SOD2 ratioGCST9031564711.77
450Hernia of abdominal wallFING0000061711.74
451DLK1 levelsGCST9046900311.74
452EndometriosisFING0000049711.69
453T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 122)GCST9032094111.69
454aparc-a2009s rh area Pole-occipitalGCST9000341211.68
455T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 107)GCST9032067011.67
456aparc-Desikan lh volume cuneusGCST9000277211.66
457Heart failure and coronary heart diseaseFING0000060411.66
458Occlusion and stenosis of precerebral arteries (PheCode 433.1)GCST9047598611.65
459DPP6/SEZ6L ratioGCST9031454411.63
460Hypermetropia (PheCode 367.8)GCST9047588211.61
461CD109 levelsGCST9046859711.60
462IDP dMRI ProbtrackX L1 ptr lGCST9000426511.60
463T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 125)GCST9032068811.59
464Peak expiratory flow (UKB data field 3064)GCST9046817611.57
465aparc-Desikan lh area cuneusGCST9000307711.54
466KeloidGCST9065248811.54
467PRTG levelsGCST9047034711.51
468FNDC1 levelsGCST9046925611.48
469Trunk fat percentage | Impedance measuresUKBB0000086411.47
470DPP4/ITGB1 ratioGCST9031454011.45
471Mean carotid IMT (intima-medial thickness) at 210 degrees | Carotid ultrasoundUKBB0000044511.41
472IDP dMRI TBSS L3 External capsule LGCST9000420411.39
473CD164/PARK7 ratioGCST9031374311.38
474IDP dMRI TBSS FA FornixGCST9000388211.35
475ITGAM/ITGAV ratioGCST9031520911.33
476Shoulder width to body height ratioGCST9027026111.29
477Left-hemisphere salience/ventral attention network to right-hemisphere salience/ventral attention network white-matter structural connectivityGCST9030271511.28
478Arm predicted mass (right) | Impedance measuresUKBB0000005011.27
479CTSO/IGF2R ratioGCST9031431711.27
480PLXDC2 levelsGCST9047026411.26
481aparc-Desikan lh thickness cuneusGCST9000344911.25
482FAP/THBS4 ratioGCST9031478511.25
483Diarrhoea and gastroenteritis of presumed infectious originFING0000042011.19
484aparc-DKTatlas lh volume cuneusGCST9000286511.17
485IDP dMRI ProbtrackX L2 ilf lGCST9000428711.17
486GlaucomaGCST9047538311.16
487Unspecified osteomyelitis (PheCode 710.19)GCST9047622411.16
488Other hammer toe(s) (acquired)FING0000105411.14
489T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 102)GCST9032092111.14
490Left-hemisphere limbic network to right-hemisphere limbic network white-matter structural connectivityGCST9030273311.13
491Pulse pressure (BMI unadjusted)GCST9033516611.09
492T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 59)GCST9032087811.07
493Autorefraction - 6mm asymmetry angle (left) | EyesightUKBB0000007211.05
494Spinal stenosis (PheCode 720)GCST9047623311.04
495Early lumbar disc prolapse, operatedFING0000048411.04
496Other joint disordersFING0000106411.03
497IDP dMRI TBSS ISOVF Superior longitudinal fasciculus LGCST9000451811.03
498CHCHD10 levelsGCST9046873811.01
499T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 32)GCST9032059511.00
500Arm fat-free mass (right) | Impedance measuresUKBB0000004811.00
501LAMB1 levelsGCST9046973210.98
502IDP dMRI ProbtrackX OD str rGCST9000447410.94
503FAP/LRRN1 ratioGCST9031478310.92
504T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 114)GCST9032067710.92
505IDP dMRI TBSS FA Tapetum LGCST9000392410.91
506Gestational age at birth (child effect)GCST9026842110.91
507FEV1 FVC ratio Z score (UKB data field 20258)GCST9046816510.90
508Volume of left paralaminar nucleusGCST9047498210.89
509T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 46)GCST9032060910.88
510Mean volume of bilateral amygdalaGCST9047499410.88
511aparc-DKTatlas lh area entorhinalGCST9000323810.86
512Unspecified monoarthritis | musculoskeletalUKBB0000088210.85
513T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 85)GCST9032090410.79
514BA-exvivo rh volume BA6GCST9000285510.79
515Multi-trait sex scoreGCST9027011810.79
516IDP T1 FAST ROIs L intracalc cortexGCST9000249710.77
517Tetradecadienedioate (C14:2-DC) metabolite levelGCST9061627510.76
518X-25371 levelsGCST9020065610.75
519T1 FreeSurfer DKT rh fusiform thicknessGCST9038432210.75
520PSAP levelsGCST9042658610.73
521IDP dMRI TBSS MD External capsule RGCST9000405910.73
522HSPG2 levelsGCST9017939210.73
523Heart rate variability traits (SDNN)GCST00473410.72
524Inguinal hernia, bilateralFING0000068210.72
525Medication use (antithrombotic agents)GCST9001876210.72
526aparc-DKTatlas lh volume precentralGCST9000288410.71
527FUT8/TNFSF14 ratioGCST9031489510.71
528Noninflammatory disorders of female genital tractFING0000088210.70
529Right-hemisphere limbic network to caudate white-matter structural connectivityGCST9030282810.69
530IDP dMRI TBSS L1 Superior fronto-occipital fasciculus RGCST9000411710.65
531EndometriosisGCST9001861910.64
532IDP dMRI ProbtrackX L3 unc rGCST9000432610.58
533IGF1 levelsGCST9002598910.50
534aparc-Desikan rh area lingualGCST9000311910.49
535Metabolic disorder, other/unspecifiedFING0000081510.43
536AHCY/HSPA1A ratioGCST9031321110.40
537Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T14ECGU00001410.39
538NCR3 levelsGCST9008817910.38
539Nerve, nerve root and plexus disordersFING0000086210.37
540IDP T1 FAST ROIs V cerebellum VIIIaGCST9000257910.36
541IDP dMRI TBSS MD Superior fronto-occipital fasciculus RGCST9000406910.36
542Biological Sibling: Alzheimer's / Other DementiaGCST9047637510.32
543aparc-a2009s rh area G-oc-temp-med-LingualGCST9000339210.31
544Glaucoma (primary open-angle)GCST9001176610.31
545T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 2)GCST9032056510.30
546IDP dMRI ProbtrackX MD cgh lGCST9000422510.29
547Whole body water mass (UKB data field 23102)GCST9046818410.26
548IDP dMRI TBSS MD Retrolenticular part of internal capsule LGCST9000404810.25
549CCL8 levelsGCST9042234610.24
550T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 121)GCST9032094010.24
551aparc-Desikan rh area pericalcarineGCST9000312710.19
552aparc-DKTatlas rh area lingualGCST9000327610.16
553QC tfMRI-to-T1 linear alignment discrepancyGCST9000635410.16
554IDP dMRI TBSS MD Superior fronto-occipital fasciculus LGCST9000407010.15
555Knee osteoarthritisGCST00709010.14
556DTI autoptx L2 str r tractGCST9038519010.14
557aparc-DKTatlas rh area pericalcarineGCST9000328410.14
558Ascending aorta diameterGCST9026739010.14
559Umbilical herniaFING0000139510.12
560Operative procedures - Carpal tunnel release | Summary OperationsUKBB0000057410.11
561Lymphoplasmacytic lymphoma and Waldenstrom macroglobulinemiaGCST9062474410.08
562CD79B/FCRL2 ratioGCST9031390010.04
563Peritonsillar abscessFING0000116010.04
564BA-exvivo rh area V1GCST9000323010.01
565REST UKBBICA NET100 1287GCST9038714110.00
566Primary angle-closure glaucoma (PheCode 365.2)GCST9047587610.00
567rfMRI amplitudes (ICA100 node 27)GCST900046159.98
568Coronary atherosclerosis (PheCode 411.4)GCST900439579.97
569aparc-DKTatlas lh area cuneusGCST900032379.95
570Fat-free massGCST0070639.94
571aparc-DKTatlas rh volume precentralGCST900029159.94
572Female infertility, associated with anovulationFING000005379.93
573Lung function (FEV1/FVC)GCST0074319.92
574ST6GALNAC2 levelsGCST902402519.92
575Volume of right cortico-amygdaloid transition areaGCST904750189.91
576Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T11ECGU0000119.90
577Other specified and unspecified disorders of lensFING000011019.88
578Mononeuropathies of upper limb | Nerve, nerve root and plexus disordersUKBB000004819.88
579IDP dMRI ProbtrackX MD fmaGCST900042299.86
580Acylcarnitine (18:2) levelsGCST900246239.86
581Arm predicted mass (left) | Impedance measuresUKBB000000499.85
582Stable angina pectorisGCST900186959.84
583ALB levelsGCST904751039.84
584Operation code - varicose vein surgery | OperationsUKBB000005689.81
585aseg rh intensity Lateral-VentricleGCST900037789.81
586IDP dMRI TBSS ICVF FornixGCST900043329.80
587SRPX levelsGCST904707449.80
588Coronary angioplastyFING000003579.79
589Hair/balding pattern: Pattern 4 (UKB data field 2395_4)GCST900436199.77
590MSMB levelsGCST904699499.76
591TNFRSF4/TNFRSF9 ratioGCST903159399.76
592rfMRI connectivity (ICA100 edge 380)GCST900052339.75
593Descending aorta distensibilityGCST902673869.74
594IDP dMRI ProbtrackX L2 unc lGCST900042989.74
595Tibiofemoral angleGCST902702639.74
596CST3/TFF3 ratioGCST903142999.72
597aparc-a2009s lh area S-subparietalGCST900033679.69
598ANGPTL7 levelsGCST904683069.68
599aparc-Desikan lh thickness precuneusGCST900034699.68
600T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 101)GCST903209209.67
601T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 128)GCST903206919.67
602Hip minimal joint space widthGCST902813659.66
603Osteomyelitis, periostitis, and other infections involving bone (PheCode 710)GCST904762209.66
604ESR1 levelsGCST904691559.65
605PSME2/RBKS ratioGCST903157379.63
606Volume of right lateral nucleusGCST904750349.62
607aparc-a2009s lh thickness G-cuneusGCST900036139.61
608IDP dMRI ProbtrackX L3 ilf lGCST900043149.61
609Benign neoplasm: Adrenal glandFING000001649.61
610aparc-Desikan rh area cuneusGCST900031119.61
611Systolic blood pressureGCST903016979.60
612ICD10 N81: Female genital prolapseGCST904542149.59
613Cataract | sense organsUKBB000001209.57
614CALCA levelsGCST904685289.56
615T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 2)GCST903208219.56
616T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 40)GCST903208599.54
617CTSZ/NAAA ratioGCST903143209.53
618wg rh intensity-contrast caudalmiddlefrontalGCST900038309.51
619MATN2/SCARA5 ratioGCST903153889.50
620PLXDC1 levelsGCST904702639.47
621Frequency of light DIY in last 4 weeks | Physical activityUKBB000002649.45
622Autorefraction - 3mm cylindrical power angle (left) | EyesightUKBB000000649.39
623wg lh intensity-contrast middletemporalGCST900038069.38
624CASP1 levelsGCST904685439.37
625SFRP2 levelsGCST902427279.36
626BA-exvivo lh thickness BA2GCST900035149.34
627Angina pectoris | Ischaemic heart diseasesUKBB000000319.33
628Acute appendicitisFING000000179.32
629T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 82)GCST903209019.30
630Lumbar disc prolapseFING000007359.28
631CCN3 levelsGCST904685899.28
632DSG4 levelsGCST904690449.27
633Arm fat-free mass (left) | Impedance measuresUKBB000000479.25
634Leg predicted mass (right) | Impedance measuresUKBB000003979.23
635HHIP levelsGCST906170979.23
636T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 103)GCST903209229.22
637CPM levelsGCST902405989.21
638Volume of left basal nucleusGCST904749469.17
639Trigger fingerFING000013769.16
640aparc-Desikan lh area caudalmiddlefrontalGCST900030769.15
641IDP dMRI ProbtrackX MD ilf lGCST900042339.14
642T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 94)GCST903209139.14
643T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 51)GCST903206149.13
644HAMP levelsGCST904516839.11
645Left ventricular wall thickness (maximal)GCST904352639.10
646IDP dMRI TBSS MO Anterior corona radiata RGCST900039749.10
647IDP dMRI ProbtrackX L3 ifo rGCST900043139.09
648Leg fat-free mass (right) | Impedance measuresUKBB000003949.08
649BA-exvivo lh area V2GCST900032179.05
650Barrett's esophagusGCST900005159.05
651aparc-a2009s rh area G-cuneusGCST900033819.04
652Glucose levelsGCST901327249.02
653Intra-ocular pressure, corneal-compensated (right) | Intraocular pressureUKBB000003759.01
654FEV1/FVC ratio | Other measurementUKBB000002459.01
655DPP6/SEZ6L2 ratioGCST903145438.99
656Degeneration of macula and posterior pole of retina (PheCode 362.2)GCST904758498.98
657Left-hemisphere salience/ventral attention network to thalamus white-matter structural connectivityGCST903027198.95
658IDP dMRI ProbtrackX ISOVF fmaGCST900045358.95
659Benign mammary dysplasiaFING000001518.94
660Body fat percentage (adjusted for testosterone and SHBG)GCST904321798.94
661Benign lipomatous neoplasm of skin and subcutaneous tissue of trunkFING000001508.91
662IDP dMRI TBSS L3 Retrolenticular part of internal capsule LGCST900041928.89
663IDP dMRI ProbtrackX FA unc rGCST900039518.88
664Total thigh muscle volume z-scoreGCST902673568.87
665CHRDL1/SMOC2 ratioGCST903140628.87
666IDP dMRI ProbtrackX MD unc rGCST900042458.86
667Intra-ocular pressure, corneal-compensated (left) | Intraocular pressureUKBB000003748.85
668BTN2A1/SMOC2 ratioGCST903135498.84
669Macular puckering of retina (PheCode 362.26)GCST904758548.84
670MXRA8 levelsGCST904699688.83
671QC T1-to-standard nonlinear alignment discrepancyGCST900063468.82
672Mean carotid IMT (intima-medial thickness) at 240 degrees | Carotid ultrasoundUKBB000004468.82
673Sulcal opening distance of the right calloso-marginal posterior fissureGCST901049468.82
674Coronary revascularization (ANGIO or CABG)FING000003608.82
675COMP levelsGCST904688278.82
676IDP dMRI TBSS L1 Corticospinal tract RGCST900040818.81
677IDP dMRI TBSS L2 Posterior limb of internal capsule RGCST900041418.81
678aparc-a2009s rh volume S-orbital-H-ShapedGCST900030628.78
679DTI TBSS L3 Superior corona radiata LGCST903845498.78
680T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 23)GCST903208428.77
681T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 81)GCST903206448.76
682Maximum carotid IMT (intima-medial thickness) at 210 degrees | Carotid ultrasoundUKBB000004288.75
683wg lh intensity-contrast transversetemporalGCST900038258.75
684GSTA4 levelsGCST902412838.75
685Volume of right whole amygdalaGCST904750548.74
686COL6A3/TAFA5 ratioGCST903141808.73
687Autorefraction - 3mm weak meridian angle (left) | EyesightUKBB000000718.72
688Takes medication for heart attack?GCST904752128.71
689systolic blood pressure (SBP, mean, inv-normal transformed)GCST904764038.71
690aparc-a2009s lh area G-oc-temp-med-LingualGCST900033188.68
691Levulinate 4-oxovalerate levelsGCST902435458.68
692VWF levelsGCST904710658.67
693X-24337 levelsGCST902006298.65
694Thoracic or lumbosacral neuritis or radiculitis, unspecified (PheCode 763)GCST904762688.64
695Spherical power (left) | AutorefractionUKBB000007908.64
696QC dMRI-to-T1 linear alignment discrepancyGCST900063518.62
697Diffuse idiopathic skeletal hyperostosis flow scoreGCST901345328.62
698Pulse wave reflection index | Arterial stiffnessUKBB000007268.62
699LAMP1 levelsGCST904697338.59
700PAMR1 levelsGCST904701558.58
701ICD10 N80: EndometriosisGCST904542138.58
702LGALS3 levelsGCST901793038.58
703HGF/TNFSF14 ratioGCST903150608.55
704Corneal dystrophy (PheCode 364.5)GCST904758648.54
705IDP dMRI TBSS MD Cingulum cingulate gyrus LGCST900040628.54
706IDP dMRI ProbtrackX MD ar rGCST900042208.53
707T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 44)GCST903206078.53
708Frozen shoulderGCST900005138.52
709Cereal type - Oat cereal (e.g. Ready Brek, porridge) | DietUKBB000001248.50
710Acetabular diameterGCST904489068.50
711T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 79)GCST903208988.49
712aparc-DKTatlas lh area caudalmiddlefrontalGCST900032368.48
7134-hydroxyglutamate levelsGCST901998908.48
714Lung function (FEV1/FVC)GCST900259788.47
715FVCGCST902786298.46
716Angina pectorisGCST900185738.44
717Ascending aorta diameterGCST900910508.43
718aparc-a2009s rh thickness G-cuneusGCST900036878.43
719Left-hemisphere default mode network to right-hemisphere visual network white-matter structural connectivityGCST903027608.41
720SFRP4 levelsGCST904706118.41
721BA-exvivo lh volume BA6GCST900028418.39
722Intracerebral hemorrhageGCST900186508.37
723IDP dMRI ProbtrackX L2 ifo lGCST900042858.36
724rfMRI amplitudes (ICA100 node 40)GCST900046288.36
725TPM2 levelsGCST902431228.36
726IFIT2 levelsGCST900908648.34
727DNAJA2/HPCAL1 ratioGCST903145038.34
728T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 93)GCST903209128.33
729PKD1 levelsGCST904702408.33
730Spinal stenosisFING000013228.32
731DKKL1 levelsGCST904690008.32
732ENPP7 levelsGCST904691188.31
733aparc-DKTatlas rh volume parahippocampalGCST900029078.29
734DTI autoptx MD unc l tractGCST903852458.29
735Non-cancer illness code, self-reported - angina | Medical conditionsUKBB000005058.29
736DPP4 levelsGCST904690338.28
737Macular degeneration, dry (PheCode 362.21)GCST904758518.27
738Angina pectoris | circulatory systemUKBB000000308.27
739IDP T1 FAST ROIs L front operc cortexGCST900025318.27
740IDP dMRI ProbtrackX MD ar lGCST900042198.27
741HJV levelsGCST904694558.26
742FOLH1 levelsGCST904271928.26
743Left hippocampal volume (tail)GCST902679518.25
744ALB levelsGCST904751008.24
745aparc-Desikan rh volume precentralGCST900028248.24
746Glaucoma | sense organsUKBB000002878.21
747Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T15ECGU0000158.21
748T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 8)GCST903208278.21
749IDP dMRI TBSS L2 Tapetum LGCST900041708.20
750wg lh intensity-contrast superiortemporalGCST900038218.20
751Osteomyelitis (PheCode 710.1)GCST904762218.17
752Major coronary heart disease eventFING000007468.16
753AIFM1/EGF ratioGCST903132198.16
754PTPRZ1 levelsGCST904703888.14
755T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 39)GCST903208588.13
756Diseases of external earFING000004248.13
757IDP dMRI ProbtrackX L3 ilf rGCST900043158.12
758Glaucoma | GlaucomaUKBB000002868.12
759Basal metabolic rate | Impedance measuresUKBB000000868.10
76010-undecenoate (11:1n1) levelsGCST902435968.09
761Other disorders of circulatory system | circulatory systemUKBB000006078.09
762T1 FreeSurfer aseg Left-Inf-Lat-VentGCST903841408.09
763AGRN/HSPG2 ratioGCST903132018.07
764aparc-Desikan rh volume parahippocampalGCST900028168.07
765NTPROBNP levelsGCST904700968.07
766THBS2 levelsGCST904708548.06
767T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 118)GCST903206818.06
768Triacylglycerol_46:4_[M+NH4]1+ levelsGCST900603628.05
769Prescriptions - anti-malarialUKBB000006638.05
770Prescriptions - quinine bisulfate | anti-malarialUKBB000006988.05
771VSNL1 levelsGCST904710548.02
772systolic blood pressure (SBP, maximum, inv-normal transformed)GCST904764008.01
773aparc-DKTatlas rh thickness cuneusGCST900035748.01
774SCARF2 levelsGCST904705378.00
775CXCL10/WARS ratioGCST903143327.99
776IDP dMRI ProbtrackX L3 ar rGCST900043017.98
777Bioavailable testosterone levelsGCST900121047.97
778Coronary artery bypass graftingFING000003587.95
779DTI autoptx L3 unc l tractGCST903852187.94
780L1CAM levelsGCST904697237.94
781IGF1 levelsGCST904680787.93
782Hypertrophy of breast in women and menFING000006457.92
783Illnesses of father - None of the above (group 1) | Family historyUKBB000003457.89
784Optic cup areaGCST0041377.88
785CHCHD6 levelsGCST904687397.86
786ERBB3 levelsGCST904691407.85
787OsteoporosisFING000009147.85
788SCARA5/TNC ratioGCST903158107.84
789TNFRSF14/TNFSF14 ratioGCST903159367.83
790IDP dMRI ProbtrackX L3 ifo lGCST900043127.83
791IDP T1 FAST ROIs L cuneal cortexGCST900025137.81
792FAM3B/FGF19 ratioGCST903147767.81
793BA-exvivo lh area V1GCST900032167.81
794RBP7 levelsGCST904704407.80
795CST3/IGFBP6 ratioGCST903142937.80
796CTSO levelsGCST901792777.79
797wg rh intensity-contrast parstriangularisGCST900038467.78
798aparc-DKTatlas lh thickness precuneusGCST900035637.78
799ThalamNuclei rh volume CeMGCST900027517.77
800T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 106)GCST903209257.76
801ACVRL1/TNFRSF19 ratioGCST903131597.73
802IDP dMRI ProbtrackX L2 unc rGCST900042997.73
803IL31RA levelsGCST904695897.72
804IDP dMRI TBSS L3 Retrolenticular part of internal capsule RGCST900041917.72
805aparc-DKTatlas lh volume caudalmiddlefrontalGCST900028647.71
806BA-exvivo lh volume BA4pGCST900028407.71
807NRP1 levelsGCST904700857.71
808Benign leiomyoma with endometriosis (controls excluding all cancers)FING000001457.70
809Sphingomyelin (d17:1/16:0, d18:1/15:0, d16:1/17:0) levelsGCST902000177.69
810BA-exvivo rh volume BA45GCST900028577.69
811Acquired foot deformities | musculoskeletalUKBB000000077.68
812aparc-pial lh area cuneusGCST900031457.67
813Left-hemisphere control network to thalamus white-matter structural connectivityGCST903027527.66
814Prescriptions - losartan | angiotensin receptor blocker,anti-hypertensive,ARBUKBB000006907.65
815Left-hemisphere visual network to left-hemisphere control network white-matter structural connectivityGCST903026537.65
816DNAJA2/PLXNA4 ratioGCST903145047.64
817CNTN5 levelsGCST904688077.64
818VIT levelsGCST904710417.62
819IDP dMRI TBSS L3 Superior fronto-occipital fasciculus LGCST900042147.62
820CILP levelsGCST904687547.60
821Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T37ECGU0000377.60
822Systolic blood pressureGCST903016957.59
823Metabolonic lactone sulfate levelsGCST902002577.58
824BA-exvivo lh thickness BA4aGCST900035177.57
825Liver proton density fat fractionGCST902673527.57
826Depression/anxiety (weighted GWA)GCST902672777.55
827CLMP/TNFRSF19 ratioGCST903141367.54
828Glaucoma, exfoliationFING000005807.52
829Low hand grip strength (60 years and older) (EWGSOP)GCST900075277.52
830Valvular heart disease excluding rheumatic feverFING000014147.51
831NAAA/SMPD1 ratioGCST903155107.51
832aparc-Desikan lh thickness GlobalMeanThicknessGCST900034457.50
833ALB levelsGCST904751067.50
834Stroke, excluding SAHFING000013377.49
835Nonrheumatic aortic valve disorders (PheCode 395.2)GCST904759147.49
836Acquired deformities of fingers and toes | Other joint disordersUKBB000000067.49
837T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 28)GCST903208477.48
838Other cataract | Disorders of lensUKBB000006027.47
839Osteoporosis, osteopenia and pathological fracture | musculoskeletalUKBB000006007.47
840Pulse wave peak to peak time | Arterial stiffnessUKBB000007257.46
841Obstructed labour due to maternal pelvic abnormalityFING000008997.46
842IDP T1 FAST ROIs V cerebellum XGCST900025887.46
843T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 57)GCST903208767.45
844aseg global intensity WM-hypointensitiesGCST900037567.43
845CNTN4 levelsGCST904688067.43
846aparc-DKTatlas lh area pericalcarineGCST900032537.41
847Minimum carotid IMT (intima-medial thickness) at 210 degrees | Carotid ultrasoundUKBB000004777.40
848Contracture of palmar fascia [Dupuytren's disease] (PheCode 728.71)GCST904762457.39
849CD48 levelsGCST904256767.37
850aparc-Desikan lh volume caudalmiddlefrontalGCST900027717.35
851IGF1 levelsUKBB000003377.35
852FGF19/SCG2 ratioGCST903148097.35
8531-palmitoyl-2-arachidonoyl-gpc (16:0/20:4n6) levelsGCST902006927.35
854ArthropathiesFING000001077.35
855DAB2/TBL1X ratioGCST903143687.34
856ASPN levelsGCST904683777.33
857CCDC80/CCL27 ratioGCST903136697.32
858Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T30ECGU0000307.32
859T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 97)GCST903206607.32
860Medication use (salicylic acid and derivatives)GCST900187757.32
861ATXN2L levelsGCST904684027.31
862INHBB levelsGCST904696147.31
863EFEMP1/FSTL3 ratioGCST903145957.30
864Illnesses of mother - None of the above (group 1) | Family historyUKBB000003497.29
865Spherical power (right) | AutorefractionUKBB000007917.28
866IL13RA1 levelsGCST904695527.28
867aparc-Desikan rh volume lateraloccipitalGCST900028117.27
868aparc-DKTatlas rh volume lateraloccipitalGCST900029027.27
869COMP/ITGAV ratioGCST903141907.27
870ITGAV levelsGCST904696397.26
871ITGA11 levelsGCST904696337.25
872TGFBR3 levelsGCST904708487.25
873DTI TBSS L1 FornixGCST903844337.25
874aparc-a2009s lh thickness S-postcentralGCST900036697.22
875Kidney volumeGCST900166707.20
876T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 78)GCST903208977.18
877Right-hemisphere visual network to pallidum white-matter structural connectivityGCST903027847.18
878IDP dMRI ProbtrackX MO atr rGCST900040037.15
879T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 102)GCST903206657.15
880T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 31)GCST903208507.14
881COL1A1 levelsGCST904688137.13
882AXL/MSR1 ratioGCST903134227.13
883FST levelsGCST904692737.12
884ALKBH3 levelsGCST906190957.12
885COL6A3 levelsGCST904688217.12
886DLK1/RGMB ratioGCST903144937.10
887Coronary artery plaque burdenGCST905030757.09
888Other diseases of intestinesFING000010017.08
889Anterior thigh muscle fat infiltration percentageGCST902673517.08
890Leg fat-free mass (left) | Impedance measuresUKBB000003937.06
891Systolic blood pressureGCST904727827.04
892RBP5 levelsGCST904704397.04
893Offspring birth weightGCST0053147.03
894IDP dMRI ProbtrackX MD ilf rGCST900042347.02
895PON1 levelsGCST904702857.02
896IDP dMRI TBSS L3 Superior fronto-occipital fasciculus RGCST900042137.02
897Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T38ECGU0000387.02
898T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 36)GCST903205997.02
899IDP dMRI TBSS L1 External capsule RGCST900041077.01
900Serine levelsGCST902004157.00
901Docosahexaenoic acid to total fatty acids percentage (UKB data field 23457)GCST902695546.99
902S100A12 levelsGCST904705136.98
903LILRB4 levelsGCST904267086.93
904FST/FSTL3 ratioGCST903148826.92
905MYOC/NOTCH3 ratioGCST903155076.92
906T1 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 6)GCST903205696.92
907Heart attackGCST904752116.91
9081-margaroyl-2-linoleoyl-GPC (17:0/18:2) metabolite levelGCST906160136.88
909BCAN/MOG ratioGCST903134806.87
910CD40LG/TNFSF14 ratioGCST903138276.87
911Acute appendicitis, no complicationsFING000000186.86
912Leg predicted mass (left) | Impedance measuresUKBB000003966.85
913DDR1 levelsGCST904689706.84
914Polyp of the female genital tractFING000011906.83
915IDP dMRI TBSS L2 Middle cerebellar peduncleGCST900041236.82
916Deep biteFING000003806.81
917Retinoschisis and retinal cysts (PheCode 361.2)GCST904758466.81
918Vascular/heart problems diagnosed by doctor - Angina | Medical conditionsUKBB000008966.80
919Nonalcoholic fatty liver diseaseGCST900547826.80
920Angina pectorisFING000000866.79
921ERBB2 levelsGCST904691396.79
922NXPH3 levelsGCST904701126.77
923aparc-a2009s rh volume G-front-inf-TriangulGCST900030126.76
924Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T26ECGU0000266.75
925Blood cell traits latent factor 20 (red cell)GCST905592626.75
926Right-hemisphere somatomotor network to thalamus white-matter structural connectivityGCST903027946.75
927Ganglion and cyst of synovium, tendon, and bursa (PheCode 727.4)GCST904762436.74
928Operation code - wisdom teeth surgery | OperationsUKBB000005696.74
929F7/VASN ratioGCST903147456.73
930CD59/CST6 ratioGCST903138576.73
931TNN levelsGCST904709276.73
932Other abnormal uterine and vaginal bleedingFING000009196.73
933Heart rate variability (corrected standard deviation of normal-to-normal intervals)GCST902812666.72
934Lung function (FVC)GCST900259986.72
935Frequency of heavy DIY in last 4 weeks | Physical activityUKBB000002636.72
936CR2/TNFRSF13B ratioGCST903142256.72
937FGF19 levelsGCST904692206.72
938GPA33 levelsGCST904693856.71
939RGMB/SMOC2 ratioGCST903157706.70
940Non-cancer illness code, self-reported - migraine | Medical conditionsUKBB000005206.70
941IDP dMRI TBSS L3 Sagittal stratum LGCST900042026.68
942Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T184ECGU0001846.68
943Follicular cysts of skin and subcutaneous tissueFING000005476.66
944IDP dMRI TBSS MD Retrolenticular part of internal capsule RGCST900040476.64
945IDP dMRI ProbtrackX L2 fmiGCST900042846.64
946aseg global intensity 4th-VentricleGCST900037526.63
947SLC39A5 levelsGCST904706616.63
948Other disorders of eyelidFING000010266.63
949Chronic hepatitis B infectionGCST900185846.62
950IDP dMRI ProbtrackX FA ifo rGCST900039386.62
951IDP dMRI TBSS L2 Retrolenticular part of internal capsule LGCST900041446.61
952Total protein levelsGCST900259956.60
953Falls/tendency to fallFING000005306.59
954Endometriosis ASRM stages 3,4FING000004986.59
955T2 brain MRIs Unsupervised Deep learning derived Imaging Phenotypes (dimension 118)GCST903209376.59
956SnoringGCST0097636.58
957Hip fractureGCST901612406.58
958IDP dMRI TBSS L2 Cerebral peduncle RGCST900041376.58
959IDP dMRI TBSS OD Superior fronto-occipital fasciculus LGCST900044456.56
960Gonarthrosis [arthrosis of knee] | ArthrosisUKBB000002906.55
961Whole body fat free mass (UKB data field 23101)GCST904281206.54
962IDP T1 FIRST left putamen volumeGCST900024406.54
963Age-related macular degenerationGCST900861116.54
964LTBR levelsGCST902431766.53
965wg lh intensity-contrast caudalmiddlefrontalGCST900037956.53
966Electrocardiogram morphology (amplitude at temporal datapoints) unadjusted, T25ECGU0000256.53
967NHLRC3 levelsGCST904700466.52
968IDP dMRI ProbtrackX MD fmiGCST900042306.52
969aparc-DKTatlas rh volume parstriangularisGCST900029116.52
970OsteoarthritisGCST904681446.49
971Fracture of lower leg, including ankleFING000005556.49
972aparc-Desikan lh thickness precentralGCST900034686.48
973ITGBL1 levelsGCST904696486.46
974Cholesteryl ester (16:2) levelsGCST900246286.46
975IDP dMRI TBSS MD Sagittal stratum LGCST900040586.45
976Lysoalkylphosphatidylcholine (O-22:1) levelsGCST900241966.45
977DTI autoptx FA fmi tractGCST903851236.44
978HydroceleFING000006276.44
979IDP T2 FLAIR BIANCA WMH volumeGCST900038626.41
980FEV1GCST0074326.41
981Left-hemisphere limbic network to thalamus white-matter structural connectivityGCST903027366.40
982ADGRG2 levelsGCST904682416.40
983IDP dMRI ProbtrackX L2 fmaGCST900042836.40
984Coronary atherosclerosisFING000003596.39
985Disorders of breastFING000004376.39
986Hereditary deficiency of other clotting factorsFING000006126.39
987Lysoalkylphosphatidylcholine (O-24:0) levelsGCST900241976.39
988LTBP2/MYOC ratioGCST903153376.39
989GDNF levelsGCST904693236.38
990Skin sebum (glabella)GCST905027976.37
991Hair/balding pattern: Pattern 1 (UKB data field 2395_1)GCST900436166.36
992OsteoporosisGCST904681456.36
993Pulse wave Arterial Stiffness index | Arterial stiffnessUKBB000007246.36
994Left ventricular end systole anterolateral wall thicknessGCST902785116.35
995Lung cancerGCST900118126.35
996Atherosclerosis of native arteries of the extremities with intermittent claudication (PheCode 440.22)GCST904759916.35
997DTI TBSS L1 External capsule RGCST903844606.34
998Benign neoplasm: Colon, unspecifiedFING000001726.33
999Coronary artery calcificationGCST905030746.33
1000Citrate levelsGCST902434426.32