TreeWAS – [Z82.7] Family history of congenital malformations, deformations and chromosomal abnormalities

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.759	0.241	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.713	0.287	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.698	0.302	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.657	0.343	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.634	0.366	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.588	0.411	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.566	0.434	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.561	0.438	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.554	0.446	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.548	0.451	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.527	0.473	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.522	0.477	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.474	0.526	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.453	0.546	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.443	0.557	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.430	0.570	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.422	0.578	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.397	0.603	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.375	0.625	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.356	0.644	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.326	0.674	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.309	0.691	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.303	0.697	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.293	0.707	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.283	0.717	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.279	0.721	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.261	0.739	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.259	0.740	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.245	0.755	0.001
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.238	0.762	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.233	0.767	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.220	0.780	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.212	0.788	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.200	0.800	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.186	0.813	0.001
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.173	0.827	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.146	0.854	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.115	0.885	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.887	0.113
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.067	0.933	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.066	0.934	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.054	0.946	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.041	0.959	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.040	0.960	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.035	0.964	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.034	0.966	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.032	0.967	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.026	0.974	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.023	0.977	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.021	0.978	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.018	0.982	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.015	0.985	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.015	0.985	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.015	0.985	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.014	0.986	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.014	0.986	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.011	0.989	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.011	0.989	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.011	0.989	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.010	0.990	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.010	0.990	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.010	0.990	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.009	0.991	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.007	0.992	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.006	0.994	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.006	0.994	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.005	0.994	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.005	0.995	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.005	0.995	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.004	0.996	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.003	0.996	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.003	0.996	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.001	0.997	0.003
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.003	0.997	0.000
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.003	0.997	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.003	0.997	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.002	0.997	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.002	0.998	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	0.998	0.002
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.002	0.998	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.002	0.998	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.002	0.998	0.000
rs11655470 lBF = `1.92618` Chr`17` : `43,795,433`	0.000	0.998	0.002
rs2017854 lBF = `-0.103445` Chr`17` : `65,488,021`	0.002	0.998	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.002	0.998	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.002	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.002	0.998	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.001	0.999	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.999	0.001
rs923375 lBF = `-0.0351892` Chr`17` : `3,393,068`	0.001	0.999	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	0.999	0.001
rs4924935 lBF = `0.131716` Chr`17` : `18,753,870`	0.000	0.999	0.001
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.001	0.999	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.999	0.001
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.001	0.999	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	0.999	0.001
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.001	0.999	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.001	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.001
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.001	0.999	0.000
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.001	0.999	0.000
rs9916302 lBF = `0.025262` Chr`17` : `37,499,949`	0.000	0.999	0.001
rs116885154 lBF = `-0.00001053` Chr`17` : `71,784,375`	0.001	0.999	0.000
rs12453524 lBF = `-0.00003894` Chr`17` : `66,575,117`	0.000	0.999	0.001
rs242557 lBF = `0.174769` Chr`17` : `44,019,712`	0.000	0.999	0.001
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.000	0.999	0.000
rs7206961 lBF = `0.0336412` Chr`17` : `72,042,520`	0.001	0.999	0.000
rs1870584 lBF = `0.027536` Chr`17` : `12,047,544`	0.000	0.999	0.001
rs7219014 lBF = `0.0314524` Chr`17` : `37,624,790`	0.001	0.999	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.000	0.999	0.001
rs12602901 lBF = `0.123649` Chr`17` : `4,824,625`	0.001	0.999	0.000
rs11658329 lBF = `-0.01479` Chr`17` : `61,763,031`	0.001	0.999	0.000
rs2013441 lBF = `-0.0856497` Chr`17` : `20,023,099`	0.000	0.999	0.001
rs7209435 lBF = `-0.0111395` Chr`17` : `61,712,964`	0.001	0.999	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.001	0.999	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.000	0.999	0.001
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.001	0.999	0.000
rs2271316 lBF = `-0.0721074` Chr`17` : `6,915,401`	0.001	0.999	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.001	0.999	0.000
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.000	0.999	0.001
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.001	0.999	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.001	0.999	0.000
rs216196 lBF = `8.07442` Chr`17` : `2,202,943`	0.000	0.999	0.001
rs2665838 lBF = `0.106499` Chr`17` : `61,966,465`	0.001	0.999	0.000
rs7223966 lBF = `0.0594609` Chr`17` : `61,893,398`	0.001	0.999	0.000
rs7209395 lBF = `-0.0306572` Chr`17` : `64,133,726`	0.001	0.999	0.000
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.000	0.999	0.001
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	0.999	0.001
rs4987082 lBF = `9.49246` Chr`17` : `47,481,374`	0.001	0.999	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	0.999	0.001
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	0.999	0.001
rs17780256 lBF = `-0.0818525` Chr`17` : `70,642,923`	0.000	0.999	0.001
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	0.999	0.000
rs9914544 lBF = `-0.0571571` Chr`17` : `18,787,828`	0.000	0.999	0.001
rs4343 lBF = `-0.0859132` Chr`17` : `61,566,031`	0.001	0.999	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.000	0.999	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.000	0.999	0.000
rs4329 lBF = `-0.0707658` Chr`17` : `61,563,458`	0.001	0.999	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	0.999	0.001
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.001	0.999	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.001	0.999	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.001	0.999	0.000
rs3744061 lBF = `0.0157117` Chr`17` : `74,733,403`	0.000	0.999	0.001
rs704 lBF = `-0.082454` Chr`17` : `26,694,861`	0.000	0.999	0.001
rs11080055 lBF = `-0.0957219` Chr`17` : `26,649,724`	0.000	0.999	0.001
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.001	0.999	0.000
rs2854207 lBF = `0.121574` Chr`17` : `61,947,107`	0.001	0.999	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.000	0.999	0.000
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.001	0.999	0.000
rs4794822 lBF = `1.70366` Chr`17` : `38,156,712`	0.001	0.999	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.000	0.999	0.000
rs4792814 lBF = `0.168162` Chr`17` : `43,403,005`	0.001	0.999	0.000
rs228769 lBF = `0.109429` Chr`17` : `42,193,185`	0.001	0.999	0.000
rs8074980 lBF = `-0.0445688` Chr`17` : `56,010,960`	0.000	0.999	0.000
rs7210086 lBF = `-0.0844228` Chr`17` : `70,641,698`	0.000	0.999	0.001
rs4362 lBF = `-0.0889821` Chr`17` : `61,573,761`	0.001	0.999	0.000
rs2453580 lBF = `-0.0891733` Chr`17` : `19,438,321`	0.000	0.999	0.001
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.001	0.999	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.000	0.999	0.000
rs8078723 lBF = `1.62102` Chr`17` : `38,166,879`	0.001	0.999	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	0.999	0.001
rs6761 lBF = `0.117299` Chr`17` : `7,417,663`	0.001	0.999	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.001	0.999	0.000
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rs11653176 lBF = `0.012337` Chr`17` : `59,447,369`	0.000	1.000	0.000
rs12936361 lBF = `0.00462479` Chr`17` : `68,108,417`	0.000	1.000	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	1.000	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.000	1.000	0.000
rs7503953 lBF = `-0.00427826` Chr`17` : `6,141,677`	0.000	1.000	0.000
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.000	1.000	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs8066857 lBF = `-0.0364293` Chr`17` : `70,696,103`	0.000	1.000	0.000
rs11079321 lBF = `-0.0609623` Chr`17` : `55,747,416`	0.000	1.000	0.000
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs4795519 lBF = `-0.0896733` Chr`17` : `25,541,278`	0.000	1.000	0.000
rs2079515 lBF = `-0.10604` Chr`17` : `68,913,506`	0.000	1.000	0.000
rs2291447 lBF = `-0.113286` Chr`17` : `43,212,963`	0.000	1.000	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.000	1.000	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.000	1.000	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	1.000	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs199498 lBF = `4.33325` Chr`17` : `44,865,603`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs2084881 lBF = `0.376223` Chr`17` : `46,357,120`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs17183295 lBF = `0.349161` Chr`17` : `31,078,272`	0.000	1.000	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	1.000	0.000
rs7224488 lBF = `0.13188` Chr`17` : `54,868,625`	0.000	1.000	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs2969180 lBF = `0.0546844` Chr`17` : `11,407,901`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs1000940 lBF = `0.0375032` Chr`17` : `5,283,252`	0.000	1.000	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	1.000	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	1.000	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs17645023 lBF = `-0.0505989` Chr`17` : `64,917,033`	0.000	1.000	0.000
rs1035050 lBF = `-0.0589331` Chr`17` : `47,564,012`	0.000	1.000	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.000	1.000	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.000	1.000	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.000	1.000	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.000	1.000	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.000	1.000	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.000	1.000	0.000
rs9914266 lBF = `3.07775` Chr`17` : `2,133,250`	0.000	1.000	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.000	1.000	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	1.000	0.000
rs3110496 lBF = `1.23808` Chr`17` : `27,917,771`	0.000	1.000	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	1.000	0.000
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	1.000	0.000
rs2079742 lBF = `0.0444277` Chr`17` : `59,465,697`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs4792192 lBF = `0.0208944` Chr`17` : `11,803,461`	0.000	1.000	0.000
rs7219585 lBF = `0.0129515` Chr`17` : `72,268,208`	0.000	1.000	0.000
rs7219451 lBF = `0.00919412` Chr`17` : `38,957,002`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	1.000	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	1.000	0.000
rs9303196 lBF = `-0.035859` Chr`17` : `5,907,443`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs4129767 lBF = `-0.0382041` Chr`17` : `76,403,984`	0.000	1.000	0.000
rs3794742 lBF = `-0.0439897` Chr`17` : `76,165,548`	0.000	1.000	0.000
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	0.000	1.000	0.000
rs4625783 lBF = `-0.0606171` Chr`17` : `80,086,395`	0.000	1.000	0.000
rs8067287 lBF = `-0.0678228` Chr`17` : `16,816,656`	0.000	1.000	0.000
rs7217319 lBF = `-0.0860359` Chr`17` : `38,924`	0.000	1.000	0.000
rs314253 lBF = `-0.0961318` Chr`17` : `7,091,650`	0.000	1.000	0.000
rs2360111 lBF = `-0.113472` Chr`17` : `831,667`	0.000	1.000	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.000	1.000	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.000	1.000	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs67050149 lBF = `6.33733` Chr`17` : `79,557,043`	0.000	1.000	0.000
rs1994884 lBF = `5.45058` Chr`17` : `2,084,008`	0.000	1.000	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	1.000	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.000	1.000	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs11079830 lBF = `0.58289` Chr`17` : `46,682,630`	0.000	1.000	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.000	1.000	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.000	1.000	0.000
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.000	1.000	0.000
rs4795067 lBF = `0.315804` Chr`17` : `26,106,675`	0.000	1.000	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5747

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3463

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2057

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1567

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9836

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9473

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9383

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9187

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9180

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9060

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8988

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8979

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8887

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8883

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8853

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8762

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8737

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8578

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8548

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8482

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8340

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8291

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8290

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8075

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8021

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7958

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7944

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7942

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7915

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7893

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7857

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7836

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7802

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7787

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7731

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7610

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7588

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7562

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7557

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7479

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7428

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7319

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7288

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7257

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7226

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7166

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7045

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6993

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6990

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6904

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6814

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6720

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6700

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6630

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6618

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6612

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6601

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6524

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6444

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6228

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6215

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6159

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6144

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6074

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6055

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6047

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5911

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5798

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5709

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5688

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5662

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5622

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5612

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5591

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5564

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5518

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5471

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5466

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.5401

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5377

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5357

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5308

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5051

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4897

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4838

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4836

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4804

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4508

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4481

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4461

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4418

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4361

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4168

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4145

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4131

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4099

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4068

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4060

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4054

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4047

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3992

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3984

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3966

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3941

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3869

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3863

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3572

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3552

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3426

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3349

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3330

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3091

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3077

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2912

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2835

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2833

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2641

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2639

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2607

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2496

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2304

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2222

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2160

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1982

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1931

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1853

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1732

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1600

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1511

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1472

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1380

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1364

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1363

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1329

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1179

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1167

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0883

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0795

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0604

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0552

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0536

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0505

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)