TreeWAS – [Z04.6] General psychiatric examination, requested by authority

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
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.665	0.335	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.529	0.471	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.508	0.492	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.500	0.500	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.473	0.527	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.446	0.554	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.444	0.555	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.418	0.582	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.400	0.600	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.389	0.611	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.386	0.614	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.378	0.622	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.377	0.623	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.375	0.625	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.373	0.627	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.373	0.627	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.369	0.631	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.368	0.632	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.352	0.647	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.350	0.649	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.347	0.653	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.346	0.654	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.329	0.670	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.325	0.675	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.321	0.679	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.312	0.687	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.312	0.688	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.278	0.722	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.274	0.726	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.267	0.733	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.266	0.734	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.237	0.763	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.217	0.782	0.001
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.212	0.788	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.202	0.798	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.189	0.810	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.171	0.828	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.169	0.831	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.141	0.858	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.141	0.858	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.140	0.860	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.122	0.878	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.119	0.881	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.119	0.881	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.110	0.890	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.107	0.893	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.105	0.895	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.089	0.910	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.079	0.921	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.077	0.923	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.070	0.930	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.070	0.930	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.063	0.937	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.061	0.939	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.059	0.940	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.058	0.942	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.049	0.950	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.048	0.952	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.047	0.953	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.043	0.956	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.042	0.958	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.041	0.959	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.038	0.962	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.038	0.962	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.962	0.038
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.036	0.963	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.035	0.965	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.030	0.970	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.028	0.972	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.027	0.973	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.027	0.973	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.025	0.974	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.024	0.976	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.024	0.976	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.023	0.976	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.021	0.979	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.020	0.979	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.019	0.981	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.017	0.982	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.016	0.983	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.015	0.985	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.013	0.987	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.012	0.988	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.012	0.988	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.011	0.988	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.011	0.989	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.010	0.990	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.990	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.009	0.990	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.009	0.990	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.009	0.991	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.009	0.991	0.000
rs12150284 lBF = `7.56098` Chr`17` : `10,031,090`	0.008	0.992	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.008	0.992	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.008	0.992	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.007	0.993	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.006	0.994	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.006	0.994	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.006	0.994	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.005	0.995	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.005	0.995	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.005	0.995	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.005	0.995	0.000
rs3110496 lBF = `1.23808` Chr`17` : `27,917,771`	0.000	0.995	0.005
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.004	0.995	0.000
rs9913911 lBF = `7.26611` Chr`17` : `10,031,183`	0.005	0.995	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.004	0.996	0.000
rs3785859 lBF = `-0.087359` Chr`17` : `59,379,738`	0.004	0.996	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.004	0.996	0.000
rs4065321 lBF = `0.345045` Chr`17` : `38,143,548`	0.004	0.996	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.003	0.996	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.003	0.996	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.003	0.996	0.000
rs4794822 lBF = `1.70366` Chr`17` : `38,156,712`	0.000	0.997	0.003
rs8078723 lBF = `1.62102` Chr`17` : `38,166,879`	0.000	0.997	0.003
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	0.997	0.003
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	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
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.997	0.003
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.003	0.997	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.002	0.997	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.000	0.998	0.002
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	0.998	0.002
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.002	0.998	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.002	0.998	0.000
rs2070776 lBF = `-0.0513655` Chr`17` : `62,007,498`	0.000	0.998	0.002
rs4789378 lBF = `-0.110129` Chr`17` : `74,930,366`	0.002	0.998	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.002	0.998	0.000
rs712046 lBF = `-0.0691899` Chr`17` : `34,358,297`	0.000	0.998	0.002
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.002	0.998	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.002	0.998	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.002	0.998	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.002	0.998	0.000
rs3859192 lBF = `3.26845` Chr`17` : `38,128,648`	0.000	0.998	0.002
rs9902453 lBF = `0.0184464` Chr`17` : `28,349,095`	0.002	0.998	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.002	0.998	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.998	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	0.998	0.002
rs892961 lBF = `-0.100491` Chr`17` : `75,400,100`	0.001	0.998	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.001	0.999	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.001	0.999	0.001
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.001	0.999	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	0.999	0.001
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.001	0.999	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.001	0.999	0.000
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.001	0.999	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.999	0.001
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.001	0.999	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.001	0.999	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs944722 lBF = `-0.0285062` Chr`17` : `26,092,037`	0.000	0.999	0.001
rs817565 lBF = `-0.0720185` Chr`17` : `67,432,385`	0.001	0.999	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.001	0.999	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	0.999	0.001
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	0.999	0.001
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.001	0.999	0.000
rs9893168 lBF = `5.87412` Chr`17` : `10,031,571`	0.001	0.999	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
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
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	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
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	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
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs9908552 lBF = `-0.0485673` Chr`17` : `1,297,991`	0.001	0.999	0.000
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rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	1.000	0.000
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.000	1.000	0.000
rs7225151 lBF = `-0.0513115` Chr`17` : `5,137,047`	0.000	1.000	0.000
rs12449664 lBF = `-0.0585402` Chr`17` : `8,967,067`	0.000	1.000	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	1.000	0.000
rs1513670 lBF = `-0.0762696` Chr`17` : `41,807,331`	0.000	1.000	0.000
rs704 lBF = `-0.082454` Chr`17` : `26,694,861`	0.000	1.000	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.000	1.000	0.000
rs1019238 lBF = `-0.0923717` Chr`17` : `54,278,715`	0.000	1.000	0.000
rs10908278 lBF = `30.2505` Chr`17` : `36,099,952`	0.000	1.000	0.000
rs11263763 lBF = `28.9425` Chr`17` : `36,103,565`	0.000	1.000	0.000
rs8064454 lBF = `28.4566` Chr`17` : `36,101,586`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	1.000	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.000	1.000	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs962888 lBF = `0.185428` Chr`17` : `43,059,071`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs9900280 lBF = `0.0517773` Chr`17` : `27,769,598`	0.000	1.000	0.000
rs1870584 lBF = `0.027536` Chr`17` : `12,047,544`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	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
rs7224314 lBF = `0.00627329` Chr`17` : `65,386,214`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	1.000	0.000
rs2006933 lBF = `-0.0142823` Chr`17` : `26,601,133`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs3744790 lBF = `-0.0514657` Chr`17` : `76,893,135`	0.000	1.000	0.000
rs216452 lBF = `-0.0523426` Chr`17` : `28,883,741`	0.000	1.000	0.000
rs4789580 lBF = `-0.0584139` Chr`17` : `76,311,991`	0.000	1.000	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	1.000	0.000
rs2429369 lBF = `-0.0778709` Chr`17` : `56,501,420`	0.000	1.000	0.000
rs1052536 lBF = `-0.103965` Chr`17` : `33,331,575`	0.000	1.000	0.000
rs4430796 lBF = `25.1458` Chr`17` : `36,098,040`	0.000	1.000	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.000	1.000	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	1.000	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.000	1.000	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.000	1.000	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.000	1.000	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.000	1.000	0.000
rs3902025 lBF = `6.12351` Chr`17` : `38,119,254`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs1034927 lBF = `5.00381` Chr`17` : `44,334,419`	0.000	1.000	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.000	1.000	0.000
rs9907309 lBF = `0.581202` Chr`17` : `14,938,944`	0.000	1.000	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.000	1.000	0.000
rs242557 lBF = `0.174769` Chr`17` : `44,019,712`	0.000	1.000	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	1.000	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	1.000	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs559972 lBF = `0.05985` Chr`17` : `27,814,496`	0.000	1.000	0.000
rs708382 lBF = `0.0582183` Chr`17` : `42,442,344`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	1.000	0.000
rs11650106 lBF = `0.0426128` Chr`17` : `57,850,251`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs1043515 lBF = `0.0256615` Chr`17` : `36,922,196`	0.000	1.000	0.000
rs8076739 lBF = `0.0105619` Chr`17` : `27,714,587`	0.000	1.000	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	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
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs7221109 lBF = `-0.0186403` Chr`17` : `38,770,286`	0.000	1.000	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs17662217 lBF = `-0.0338281` Chr`17` : `32,862,190`	0.000	1.000	0.000
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs2567519 lBF = `-0.0475196` Chr`17` : `70,788,406`	0.000	1.000	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	0.000
rs12940030 lBF = `-0.0589294` Chr`17` : `14,561,016`	0.000	1.000	0.000
rs1975974 lBF = `-0.0615655` Chr`17` : `21,707,060`	0.000	1.000	0.000
rs1380181 lBF = `-0.0707018` Chr`17` : `15,193,056`	0.000	1.000	0.000
rs17780256 lBF = `-0.0818525` Chr`17` : `70,642,923`	0.000	1.000	0.000
rs2079515 lBF = `-0.10604` Chr`17` : `68,913,506`	0.000	1.000	0.000
rs2074518 lBF = `-0.106489` Chr`17` : `33,324,382`	0.000	1.000	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	1.000	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.000	1.000	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.000	1.000	0.000
rs4987082 lBF = `9.49246` Chr`17` : `47,481,374`	0.000	1.000	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	1.000	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.000	1.000	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.000	1.000	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.1061

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0566

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7168

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7168

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7168

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7167

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7144

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7128

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7121

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7120

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7119

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7106

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7093

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7088

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7077

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7049

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7025

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7022

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6963

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6952

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6935

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6920

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6893

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6892

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6827

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6767

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6688

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6687

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6676

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6656

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6655

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6594

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6583

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6537

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6501

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6481

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6458

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6401

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6331

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5967

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5931

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5810

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5743

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5724

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5684

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5657

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5642

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5594

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5348

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5331

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5318

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5237

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5226

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5074

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5017

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4919

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4902

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4896

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4884

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4851

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4802

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4717

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4621

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4540

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4439

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4364

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4331

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4234

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4176

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4099

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4011

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3989

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3884

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3847

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3717

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3521

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3480

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3468

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3447

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3429

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3317

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3250

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2958

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2848

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2674

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2647

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2629

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2507

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2479

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2386

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2347

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2197

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2141

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2139

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2082

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1997

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1816

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1772

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1772

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1576

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1518

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1504

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1455

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1426

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1341

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1294

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1291

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1272

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1151

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1150

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1139

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1105

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1022

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0969

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0884

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0863

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0687

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0658

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0633

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0565

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0540

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0535

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0535

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0519

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`)