TreeWAS – [Z02] Examination and encounter for administrative purposes

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`	0.852	0.148	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.827	0.173	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.824	0.176	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.779	0.221	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.757	0.243	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.735	0.265	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.731	0.269	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.700	0.299	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.686	0.314	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.679	0.321	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.629	0.371	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.622	0.378	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.603	0.397	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.594	0.406	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.562	0.438	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.546	0.454	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.527	0.473	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.521	0.479	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.513	0.487	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.512	0.488	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.495	0.505	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.465	0.535	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.456	0.544	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.447	0.552	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.431	0.569	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.419	0.580	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.417	0.583	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.365	0.635	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.338	0.662	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.326	0.674	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.299	0.700	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.298	0.702	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.284	0.716	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.281	0.719	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.264	0.736	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.261	0.739	0.000
rs4795067 lBF = `0.315804` Chr`17` : `26,106,675`	0.229	0.771	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.206	0.794	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.192	0.808	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.185	0.814	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.178	0.822	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.165	0.835	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.147	0.853	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.145	0.854	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.145	0.855	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.141	0.859	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.138	0.862	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.136	0.863	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.126	0.874	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.122	0.878	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.115	0.885	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.112	0.888	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.098	0.902	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.091	0.909	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.077	0.922	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.072	0.928	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.071	0.929	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.068	0.932	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.066	0.934	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.060	0.940	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.057	0.943	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.056	0.943	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.055	0.945	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.054	0.946	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.054	0.946	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.054	0.946	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.052	0.948	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.047	0.953	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.044	0.956	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.958	0.042
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.038	0.962	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.035	0.964	0.001
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.035	0.965	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.033	0.967	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.031	0.969	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.026	0.974	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.024	0.975	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.024	0.976	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.024	0.976	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.024	0.976	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.023	0.977	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.020	0.980	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.019	0.981	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.019	0.981	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.016	0.984	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.016	0.984	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.014	0.985	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.014	0.986	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.013	0.987	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.013	0.987	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.013	0.987	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.012	0.988	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.012	0.988	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.011	0.988	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.010	0.990	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.010	0.990	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.009	0.990	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.009	0.991	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.008	0.992	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.007	0.993	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	0.993	0.007
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.007	0.993	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.006	0.994	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.006	0.994	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.006	0.994	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.006	0.994	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.005	0.995	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.005	0.995	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	0.995	0.005
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.005	0.995	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.005	0.995	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.005	0.995	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.005	0.995	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.995	0.005
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.000	0.995	0.005
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.004	0.995	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.004	0.996	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.004	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.004	0.996	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.996	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.003	0.997	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.003	0.997	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.003	0.997	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.003	0.997	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.003	0.997	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.003	0.997	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.003	0.997	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.003	0.997	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.003	0.997	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.002	0.997	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.002	0.998	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.002	0.998	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.002	0.998	0.000
rs3889237 lBF = `-0.0929532` Chr`17` : `64,779,430`	0.002	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.000	0.998	0.001
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.001	0.999	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.001	0.999	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.999	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	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
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
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
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	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
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
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
rs144460277 lBF = `0` Chr`17` : `9,075,744`	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
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs9635759 lBF = `-0.0807129` Chr`17` : `49,613,785`	0.000	0.999	0.001
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.001	0.999	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.001	0.999	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	0.999	0.001
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.001	0.999	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.001	0.999	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.001	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.001	0.999	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	0.999	0.001
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	0.999	0.001
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	0.999	0.001
rs1549519 lBF = `-0.0354373` Chr`17` : `53,757,787`	0.001	0.999	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.001	0.999	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.001	0.999	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.000	0.999	0.000
rs3027247 lBF = `-0.0497048` Chr`17` : `8,130,867`	0.001	0.999	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.001	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	0.999	0.001
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	0.999	0.001
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.000	0.999	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.999	0.001
rs4617927 lBF = `0.0387266` Chr`17` : `53,356,126`	0.001	0.999	0.000
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rs12450239 lBF = `-0.0953541` Chr`17` : `77,449,095`	0.000	1.000	0.000
rs227731 lBF = `-0.0957209` Chr`17` : `54,773,238`	0.000	1.000	0.000
rs7219669 lBF = `-0.104703` Chr`17` : `68,521,861`	0.000	1.000	0.000
rs6503782 lBF = `-0.115305` Chr`17` : `55,108,734`	0.000	1.000	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	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
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.000	1.000	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	1.000	0.000
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.000	1.000	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	1.000	0.000
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.000	1.000	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	1.000	0.000
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	1.000	0.000
rs12946454 lBF = `0.0866074` Chr`17` : `43,208,121`	0.000	1.000	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	1.000	0.000
rs2079742 lBF = `0.0444277` Chr`17` : `59,465,697`	0.000	1.000	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs7206961 lBF = `0.0336412` Chr`17` : `72,042,520`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs11867479 lBF = `-0.0010545` Chr`17` : `68,090,207`	0.000	1.000	0.000
rs6504108 lBF = `-0.00134096` Chr`17` : `46,292,923`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	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
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.000	1.000	0.000
rs2659005 lBF = `-0.0444975` Chr`17` : `79,218,714`	0.000	1.000	0.000
rs8074980 lBF = `-0.0445688` Chr`17` : `56,010,960`	0.000	1.000	0.000
rs28998802 lBF = `-0.0455744` Chr`17` : `26,124,908`	0.000	1.000	0.000
rs7225151 lBF = `-0.0513115` Chr`17` : `5,137,047`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs12948394 lBF = `-0.0563817` Chr`17` : `76,382,791`	0.000	1.000	0.000
rs4789580 lBF = `-0.0584139` Chr`17` : `76,311,991`	0.000	1.000	0.000
rs9892651 lBF = `-0.0651436` Chr`17` : `64,303,793`	0.000	1.000	0.000
rs2315504 lBF = `-0.0661126` Chr`17` : `39,046,881`	0.000	1.000	0.000
rs1015657 lBF = `-0.0665226` Chr`17` : `68,878,487`	0.000	1.000	0.000
rs712046 lBF = `-0.0691899` Chr`17` : `34,358,297`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs4329 lBF = `-0.0707658` Chr`17` : `61,563,458`	0.000	1.000	0.000
rs17052344 lBF = `-0.0719989` Chr`17` : `21,717,543`	0.000	1.000	0.000
rs9912468 lBF = `-0.0734971` Chr`17` : `64,318,357`	0.000	1.000	0.000
rs704 lBF = `-0.082454` Chr`17` : `26,694,861`	0.000	1.000	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.000	1.000	0.000
rs6565653 lBF = `-0.0892474` Chr`17` : `78,201,783`	0.000	1.000	0.000
rs17608059 lBF = `-0.105888` Chr`17` : `13,910,549`	0.000	1.000	0.000
rs12449568 lBF = `-0.110223` Chr`17` : `54,430,155`	0.000	1.000	0.000
rs12601991 lBF = `14.0917` Chr`17` : `36,101,633`	0.000	1.000	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	1.000	0.000
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.000	1.000	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	1.000	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	1.000	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	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
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.000	1.000	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.000	1.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	1.000	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.000	1.000	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.000	1.000	0.000
rs67050149 lBF = `6.33733` Chr`17` : `79,557,043`	0.000	1.000	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.000	1.000	0.000
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.000	1.000	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.000	1.000	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.000	1.000	0.000
rs9303521 lBF = `1.38622` Chr`17` : `43,805,194`	0.000	1.000	0.000
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.000	1.000	0.000
rs11657044 lBF = `0.832578` Chr`17` : `59,450,105`	0.000	1.000	0.000
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.000	1.000	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	1.000	0.000
rs216205 lBF = `0.627465` Chr`17` : `2,196,150`	0.000	1.000	0.000
rs116908816 lBF = `0.615666` Chr`17` : `32,422,699`	0.000	1.000	0.000
rs5415 lBF = `0.583017` Chr`17` : `7,184,481`	0.000	1.000	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.000	1.000	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	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

0.1518

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0996

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9969

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9878

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9701

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9385

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9206

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8779

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8766

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7900

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7322

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6567

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6338

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6276

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6143

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5949

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5779

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5631

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5394

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5197

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5101

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5089

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5087

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4990

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4943

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4726

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4719

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4611

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4595

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4578

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4477

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4457

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4435

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4415

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4377

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4344

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4263

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4248

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4242

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4237

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4227

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4224

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4215

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4212

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4199

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4193

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4190

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4185

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4184

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4184

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4181

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4179

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4179

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4178

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4177

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4176

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4176

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4176

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4176

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4176

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4176

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4176

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4176

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4176

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4176

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4176

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4176

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4176

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4176

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4175

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4172

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4170

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4166

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4156

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4148

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4147

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4141

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4137

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4063

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4035

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3984

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3979

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3964

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3940

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3923

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3918

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3892

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3871

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3846

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3754

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3733

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3722

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3635

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3633

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3600

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3523

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3508

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3489

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3481

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3333

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3180

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3078

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3033

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3014

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2876

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2781

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2778

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2295

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2292

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2184

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2179

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2079

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2011

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1887

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1877

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1826

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1793

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1618

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1492

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1129

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1123

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1073

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1013

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0979

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0971

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0832

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0828

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0746

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0660

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0633

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0529

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0504

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0500

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`)