TreeWAS – [Z13.7] Special screening examination for 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
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.706	0.294	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.675	0.325	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.648	0.351	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.646	0.354	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.605	0.395	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.571	0.429	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.534	0.466	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.531	0.468	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.508	0.492	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.476	0.524	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.469	0.531	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.462	0.538	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.385	0.615	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.384	0.616	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.381	0.619	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.377	0.623	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.358	0.642	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.337	0.663	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.332	0.667	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.328	0.672	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.326	0.674	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.320	0.680	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.282	0.718	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.282	0.718	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.274	0.726	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.267	0.733	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.262	0.738	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.252	0.748	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.233	0.767	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.231	0.768	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.228	0.772	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.223	0.777	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.214	0.786	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.202	0.798	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.194	0.805	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.187	0.813	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.175	0.825	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.154	0.846	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.148	0.852	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.143	0.857	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.117	0.883	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.116	0.884	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.115	0.884	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.106	0.893	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.103	0.897	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.102	0.898	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.099	0.901	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.086	0.913	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.070	0.930	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.062	0.938	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.059	0.940	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.057	0.943	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.952	0.048
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.047	0.953	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.042	0.957	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.039	0.960	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.039	0.961	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.039	0.961	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.038	0.962	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.038	0.962	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.037	0.962	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.033	0.967	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.030	0.970	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.028	0.971	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.028	0.971	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.027	0.972	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.027	0.972	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.026	0.974	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.024	0.976	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.022	0.978	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.022	0.978	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.020	0.980	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.020	0.980	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.019	0.981	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.018	0.982	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.018	0.982	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.018	0.982	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.014	0.986	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.012	0.987	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.011	0.988	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.011	0.989	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.011	0.989	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.010	0.990	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.010	0.990	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.010	0.990	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.990	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.009	0.990	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.007	0.993	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.007	0.993	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.007	0.993	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.006	0.994	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.006	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.005	0.995	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.005	0.995	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.005	0.995	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.005	0.995	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.005	0.995	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.005	0.995	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	0.995	0.004
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.004	0.996	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.004	0.996	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.004	0.996	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.003	0.996	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.996	0.003
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.003	0.996	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.003	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.003	0.997	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.001	0.997	0.002
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.002	0.997	0.000
rs4794202 lBF = `-0.0447461` Chr`17` : `45,930,539`	0.002	0.998	0.000
rs9908552 lBF = `-0.0485673` Chr`17` : `1,297,991`	0.002	0.998	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.002	0.998	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.000	0.998	0.002
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.002	0.998	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.002	0.998	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.001	0.998	0.001
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.002	0.998	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.000	0.998	0.002
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.002	0.998	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.000	0.998	0.001
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs8077889 lBF = `-0.0167242` Chr`17` : `41,878,166`	0.001	0.999	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.001	0.999	0.000
rs1513670 lBF = `-0.0762696` Chr`17` : `41,807,331`	0.001	0.999	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.001	0.999	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.000	0.999	0.001
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	0.999	0.001
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.001	0.999	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	0.999	0.001
rs916888 lBF = `2.00376` Chr`17` : `44,863,133`	0.000	0.999	0.001
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.000	0.999	0.001
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.001	0.999	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.001	0.999	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	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
rs142991058 lBF = `0` Chr`17` : `73,046,170`	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
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
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	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
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
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
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.001	0.999	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.999	0.001
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.001	0.999	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	0.999	0.001
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	0.999	0.001
rs7221059 lBF = `-0.092041` Chr`17` : `74,988,444`	0.001	0.999	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.001	0.999	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.001	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.001
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	0.999	0.001
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	0.999	0.001
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.001	0.999	0.000
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.000	0.999	0.001
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.000	0.999	0.001
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.001	0.999	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.000	0.999	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	0.999	0.001
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.000	0.999	0.000
rs2411984 lBF = `-0.0436694` Chr`17` : `47,445,751`	0.001	0.999	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	0.999	0.001
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.001	0.999	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	0.999	0.001
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.001	0.999	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.000	0.999	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.001	0.999	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.000	0.999	0.000
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rs8070473 lBF = `-0.0358532` Chr`17` : `33,843,512`	0.000	1.000	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	1.000	0.000
rs4791051 lBF = `-0.0557701` Chr`17` : `64,538,331`	0.000	1.000	0.000
rs6565653 lBF = `-0.0892474` Chr`17` : `78,201,783`	0.000	1.000	0.000
rs11080055 lBF = `-0.0957219` Chr`17` : `26,649,724`	0.000	1.000	0.000
rs11654699 lBF = `-0.124536` Chr`17` : `30,903,310`	0.000	1.000	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.000	1.000	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	1.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.000	1.000	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.000	1.000	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.000	1.000	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.000	1.000	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs3760318 lBF = `0.910229` Chr`17` : `29,247,715`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs11079830 lBF = `0.58289` Chr`17` : `46,682,630`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs242557 lBF = `0.174769` Chr`17` : `44,019,712`	0.000	1.000	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	1.000	0.000
rs10521232 lBF = `0.0694156` Chr`17` : `13,539,804`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	1.000	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	1.000	0.000
rs55955238 lBF = `-0.00136183` Chr`17` : `35,270,922`	0.000	1.000	0.000
rs4144743 lBF = `-0.00182064` Chr`17` : `45,323,125`	0.000	1.000	0.000
rs2003347 lBF = `-0.00956259` Chr`17` : `35,273,345`	0.000	1.000	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs2935183 lBF = `-0.018225` Chr`17` : `45,607,572`	0.000	1.000	0.000
rs397969 lBF = `-0.0194557` Chr`17` : `19,804,247`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs718073 lBF = `-0.0274968` Chr`17` : `70,584,265`	0.000	1.000	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	1.000	0.000
rs8072100 lBF = `-0.0332638` Chr`17` : `45,674,687`	0.000	1.000	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	1.000	0.000
rs7213812 lBF = `-0.049552` Chr`17` : `31,448,649`	0.000	1.000	0.000
rs1663189 lBF = `-0.050365` Chr`17` : `77,889,055`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs3027234 lBF = `-0.0637675` Chr`17` : `8,136,092`	0.000	1.000	0.000
rs8074751 lBF = `-0.0660515` Chr`17` : `63,642,542`	0.000	1.000	0.000
rs1872085 lBF = `-0.0699987` Chr`17` : `71,528,080`	0.000	1.000	0.000
rs2271316 lBF = `-0.0721074` Chr`17` : `6,915,401`	0.000	1.000	0.000
rs1046875 lBF = `-0.0895966` Chr`17` : `80,685,426`	0.000	1.000	0.000
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.000	1.000	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	1.000	0.000
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.000	1.000	0.000
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.000	1.000	0.000
rs907092 lBF = `10.6486` Chr`17` : `37,922,259`	0.000	1.000	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.000	1.000	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.000	1.000	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.000	1.000	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.000	1.000	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	1.000	0.000
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	1.000	0.000
rs8071558 lBF = `4.46114` Chr`17` : `69,107,673`	0.000	1.000	0.000
rs17765344 lBF = `4.44954` Chr`17` : `69,106,874`	0.000	1.000	0.000
rs1859962 lBF = `4.17106` Chr`17` : `69,108,753`	0.000	1.000	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.000	1.000	0.000
rs17610181 lBF = `2.0868` Chr`17` : `59,667,953`	0.000	1.000	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs17183295 lBF = `0.349161` Chr`17` : `31,078,272`	0.000	1.000	0.000
rs4795067 lBF = `0.315804` Chr`17` : `26,106,675`	0.000	1.000	0.000
rs757608 lBF = `0.246952` Chr`17` : `59,497,277`	0.000	1.000	0.000
rs1316453 lBF = `0.222152` Chr`17` : `77,410,859`	0.000	1.000	0.000
rs4792814 lBF = `0.168162` Chr`17` : `43,403,005`	0.000	1.000	0.000
rs2079795 lBF = `0.106328` Chr`17` : `59,496,649`	0.000	1.000	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	1.000	0.000
rs220470 lBF = `0.0547558` Chr`17` : `3,664,975`	0.000	1.000	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	1.000	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	1.000	0.000
rs12940622 lBF = `0.0309402` Chr`17` : `78,615,571`	0.000	1.000	0.000
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.000	1.000	0.000
rs12185265 lBF = `0.0183091` Chr`17` : `35,274,282`	0.000	1.000	0.000
rs7219451 lBF = `0.00919412` Chr`17` : `38,957,002`	0.000	1.000	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	0.000	1.000	0.000
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.000	1.000	0.000
rs2075230 lBF = `-0.00511233` Chr`17` : `7,487,108`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	1.000	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	1.000	0.000
rs2006933 lBF = `-0.0142823` Chr`17` : `26,601,133`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	1.000	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	1.000	0.000
rs17662217 lBF = `-0.0338281` Chr`17` : `32,862,190`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0825

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0642

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7167

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7166

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7156

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7154

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7151

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7144

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7106

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7067

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6986

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6967

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6904

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6861

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6830

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6821

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6776

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6749

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6710

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6687

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6680

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6663

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6639

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6601

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6583

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6576

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6522

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6293

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6289

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6282

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6281

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6237

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6215

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6069

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6043

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6027

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6004

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5847

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5821

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5778

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5770

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5734

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5635

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5625

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5622

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5461

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5457

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5435

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5430

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5410

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5363

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5355

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5211

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5174

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4875

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4742

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4540

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4362

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4093

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4051

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3822

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3767

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3462

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3275

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2991

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2776

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2733

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2662

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2526

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2519

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2491

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2357

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2340

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2273

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2273

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2234

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2182

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2181

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1909

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1875

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1826

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1619

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1418

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1383

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1329

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1320

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1241

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1138

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1124

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1103

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1052

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1033

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0958

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0956

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0917

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0858

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0845

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0843

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0815

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0755

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0717

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0664

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0620

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0614

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0580

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0573

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0559

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0527

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`)