TreeWAS – [G40.4] Other generalised epilepsy and epileptic syndromes

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
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.762	0.238	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.716	0.284	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.714	0.285	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.697	0.303	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.697	0.303	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.666	0.334	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.663	0.337	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.618	0.382	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.602	0.397	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.593	0.407	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.591	0.409	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.570	0.430	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.562	0.438	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.550	0.450	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.547	0.453	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.546	0.454	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.546	0.454	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.540	0.460	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.532	0.468	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.526	0.474	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.524	0.476	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.497	0.503	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.493	0.507	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.479	0.521	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.478	0.522	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.472	0.528	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.464	0.536	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.460	0.540	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.452	0.548	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.445	0.555	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.444	0.555	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.441	0.559	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.440	0.559	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.436	0.564	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.425	0.575	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.414	0.586	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.402	0.598	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.392	0.608	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.387	0.613	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.371	0.628	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.370	0.630	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.359	0.641	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.355	0.645	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.351	0.649	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.347	0.653	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.343	0.657	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.342	0.658	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.337	0.662	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.333	0.667	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.332	0.667	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.332	0.668	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.324	0.676	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.323	0.676	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.322	0.678	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.319	0.681	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.315	0.685	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.302	0.698	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.298	0.701	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.293	0.707	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.287	0.713	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.275	0.725	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.272	0.728	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.246	0.753	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.246	0.754	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.245	0.755	0.000
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.242	0.758	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.233	0.767	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.231	0.769	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.226	0.773	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.225	0.774	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.224	0.776	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.212	0.788	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.205	0.795	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.201	0.798	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.197	0.803	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.189	0.811	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.185	0.815	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.179	0.820	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.175	0.825	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.174	0.826	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.172	0.828	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.164	0.836	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.158	0.842	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.153	0.846	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.143	0.857	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.141	0.858	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.139	0.861	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.137	0.863	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.134	0.866	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.132	0.868	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.126	0.873	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.116	0.883	0.001
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.106	0.893	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.103	0.897	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.102	0.897	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.102	0.898	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.102	0.898	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.101	0.899	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.098	0.902	0.001
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.097	0.903	0.001
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.097	0.903	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.096	0.903	0.001
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.095	0.905	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.095	0.905	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.092	0.908	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.091	0.909	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.090	0.909	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.086	0.914	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.084	0.915	0.001
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.084	0.916	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.083	0.917	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.078	0.922	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.069	0.931	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.067	0.933	0.000
rs1292053 lBF = `0.359007` Chr`17` : `57,963,537`	0.065	0.935	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.064	0.936	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.063	0.937	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.060	0.940	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.055	0.945	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.048	0.952	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.047	0.953	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.046	0.954	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.045	0.955	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.044	0.955	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.041	0.959	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.038	0.962	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.037	0.962	0.001
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.036	0.964	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.034	0.965	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.034	0.966	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.032	0.968	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.031	0.968	0.001
rs180515 lBF = `0.809847` Chr`17` : `58,024,275`	0.030	0.970	0.000
rs9914258 lBF = `5.38881` Chr`17` : `10,031,642`	0.000	0.974	0.026
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.025	0.975	0.001
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.025	0.975	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.025	0.975	0.000
rs11656696 lBF = `5.98584` Chr`17` : `10,033,679`	0.000	0.976	0.024
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.023	0.977	0.000
rs9902403 lBF = `-0.0502294` Chr`17` : `2,827,958`	0.000	0.977	0.023
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.020	0.980	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.020	0.980	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.019	0.981	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.018	0.982	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.018	0.982	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.016	0.984	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.015	0.984	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.015	0.984	0.000
rs9893168 lBF = `5.87412` Chr`17` : `10,031,571`	0.000	0.985	0.015
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.014	0.985	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.014	0.986	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.013	0.986	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.011	0.989	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.010	0.990	0.000
rs4796604 lBF = `-0.0670436` Chr`17` : `39,890,876`	0.010	0.990	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.008	0.992	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.007	0.992	0.001
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.000	0.992	0.007
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.993	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.006	0.993	0.001
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs2302190 lBF = `-0.0522082` Chr`17` : `56,584,508`	0.006	0.994	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.005	0.995	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.005	0.995	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.005	0.995	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.004	0.996	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.004	0.996	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.004	0.996	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.003	0.997	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.003	0.997	0.000
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	0.997	0.003
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.002	0.997	0.001
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.002	0.998	0.000
rs11545787 lBF = `-0.0420883` Chr`17` : `17,398,278`	0.000	0.998	0.002
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.002	0.998	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.002	0.998	0.000
rs4144743 lBF = `-0.00182064` Chr`17` : `45,323,125`	0.002	0.998	0.000
rs8072599 lBF = `-0.0594913` Chr`17` : `80,242,123`	0.002	0.998	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	0.998	0.002
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.002	0.998	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.002	0.998	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.002	0.998	0.000
rs3096644 lBF = `0.151127` Chr`17` : `46,757,575`	0.002	0.998	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.002	0.998	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.001	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	0.998	0.002
rs227724 lBF = `-0.0418164` Chr`17` : `54,778,817`	0.000	0.998	0.002
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.002	0.998	0.000
rs17183295 lBF = `0.349161` Chr`17` : `31,078,272`	0.000	0.998	0.002
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.001	0.998	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.001	0.998	0.000
rs1000940 lBF = `0.0375032` Chr`17` : `5,283,252`	0.001	0.999	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	0.999	0.001
rs3902025 lBF = `6.12351` Chr`17` : `38,119,254`	0.001	0.999	0.000
rs12150284 lBF = `7.56098` Chr`17` : `10,031,090`	0.000	0.999	0.001
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.001	0.999	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.000	0.999	0.001
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
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rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.000	1.000	0.000
rs8068318 lBF = `0.144792` Chr`17` : `59,483,766`	0.000	1.000	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	1.000	0.000
rs9894429 lBF = `0.0357377` Chr`17` : `79,596,811`	0.000	1.000	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	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
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs28998802 lBF = `-0.0455744` Chr`17` : `26,124,908`	0.000	1.000	0.000
rs7213812 lBF = `-0.049552` Chr`17` : `31,448,649`	0.000	1.000	0.000
rs2293152 lBF = `-0.0506452` Chr`17` : `40,481,529`	0.000	1.000	0.000
rs218676 lBF = `-0.0535661` Chr`17` : `6,607,018`	0.000	1.000	0.000
rs763512 lBF = `-0.0593166` Chr`17` : `35,889,531`	0.000	1.000	0.000
rs1431318 lBF = `-0.0635643` Chr`17` : `54,192,523`	0.000	1.000	0.000
rs11079764 lBF = `-0.067193` Chr`17` : `45,309,693`	0.000	1.000	0.000
rs704 lBF = `-0.082454` Chr`17` : `26,694,861`	0.000	1.000	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.000	1.000	0.000
rs3894194 lBF = `6.96611` Chr`17` : `38,121,993`	0.000	1.000	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	1.000	0.000
rs2732703 lBF = `4.25554` Chr`17` : `44,353,222`	0.000	1.000	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.000	1.000	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs2854207 lBF = `0.121574` Chr`17` : `61,947,107`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs1007190 lBF = `-0.0305717` Chr`17` : `43,038,209`	0.000	1.000	0.000
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.000	1.000	0.000
rs216452 lBF = `-0.0523426` Chr`17` : `28,883,741`	0.000	1.000	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.000	1.000	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
rs2074404 lBF = `1.63065` Chr`17` : `44,865,439`	0.000	1.000	0.000
rs11871801 lBF = `0.931073` Chr`17` : `40,570,772`	0.000	1.000	0.000
rs11079830 lBF = `0.58289` Chr`17` : `46,682,630`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs1316453 lBF = `0.222152` Chr`17` : `77,410,859`	0.000	1.000	0.000
rs6761 lBF = `0.117299` Chr`17` : `7,417,663`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs7209435 lBF = `-0.0111395` Chr`17` : `61,712,964`	0.000	1.000	0.000
rs11658329 lBF = `-0.01479` Chr`17` : `61,763,031`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	1.000	0.000
rs718073 lBF = `-0.0274968` Chr`17` : `70,584,265`	0.000	1.000	0.000
rs9898058 lBF = `-0.0471767` Chr`17` : `47,818,821`	0.000	1.000	0.000
rs2013441 lBF = `-0.0856497` Chr`17` : `20,023,099`	0.000	1.000	0.000
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	0.000	1.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	1.000	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.000	1.000	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.000	1.000	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.000	1.000	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.000	1.000	0.000
rs11650066 lBF = `0.573506` Chr`17` : `32,287,449`	0.000	1.000	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.000	1.000	0.000
rs507506 lBF = `0.39092` Chr`17` : `7,118,322`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs757608 lBF = `0.246952` Chr`17` : `59,497,277`	0.000	1.000	0.000
rs727428 lBF = `0.234682` Chr`17` : `7,537,792`	0.000	1.000	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	1.000	0.000
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs2019872 lBF = `0.117668` Chr`17` : `2,010,318`	0.000	1.000	0.000
rs2665838 lBF = `0.106499` Chr`17` : `61,966,465`	0.000	1.000	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs9299 lBF = `0.0624181` Chr`17` : `46,669,430`	0.000	1.000	0.000
rs72823592 lBF = `0.0220647` Chr`17` : `46,123,004`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.000	1.000	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	1.000	0.000
rs35219335 lBF = `-0.0135019` Chr`17` : `10,077,836`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs7215990 lBF = `-0.0278399` Chr`17` : `6,034,831`	0.000	1.000	0.000
rs16956936 lBF = `-0.0329272` Chr`17` : `7,633,692`	0.000	1.000	0.000
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.000	1.000	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	1.000	0.000
rs9303196 lBF = `-0.035859` Chr`17` : `5,907,443`	0.000	1.000	0.000
rs1663189 lBF = `-0.050365` Chr`17` : `77,889,055`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs17052344 lBF = `-0.0719989` Chr`17` : `21,717,543`	0.000	1.000	0.000
rs817565 lBF = `-0.0720185` Chr`17` : `67,432,385`	0.000	1.000	0.000
rs4605213 lBF = `-0.113884` Chr`17` : `49,244,747`	0.000	1.000	0.000
rs6503782 lBF = `-0.115305` Chr`17` : `55,108,734`	0.000	1.000	0.000
rs10908278 lBF = `30.2505` Chr`17` : `36,099,952`	0.000	1.000	0.000
rs8064454 lBF = `28.4566` Chr`17` : `36,101,586`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.6306

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8118

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7168

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7168

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7167

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7167

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7166

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7166

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7165

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7165

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7165

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7164

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7162

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7161

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7161

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7160

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7156

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7151

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7147

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7144

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7141

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7135

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7131

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7094

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7087

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7084

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7075

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7064

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7053

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7021

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7006

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6989

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6988

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6977

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6972

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6968

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6938

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6936

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6909

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6907

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6903

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6886

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6866

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6864

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6863

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6859

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6849

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6800

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6796

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6778

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6766

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6733

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6721

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6682

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6647

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6540

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6530

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6506

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6500

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6482

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6372

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6366

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6354

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6353

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6342

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6319

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6295

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6239

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6236

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6109

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6018

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5988

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5974

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5974

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5944

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5774

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5758

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5738

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5695

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5621

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5602

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5589

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5545

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5467

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5454

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5291

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5232

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5204

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5028

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4972

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4954

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4950

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4906

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4891

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4835

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4737

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4646

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4634

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4582

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4550

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4463

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4450

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4300

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4277

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4123

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4028

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3985

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3978

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3818

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3694

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3686

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3684

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.3527

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3526

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3449

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3445

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3419

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3404

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3392

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3226

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3216

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3078

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3003

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2984

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2940

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2846

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2822

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2736

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2723

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2654

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2616

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2504

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2444

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2418

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2335

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2305

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2262

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2174

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2147

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2111

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2080

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1934

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1912

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1811

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1609

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1583

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1583

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1264

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1244

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1161

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1154

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1140

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1092

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1041

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1015

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0910

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0827

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0795

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0778

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0777

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0767

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0761

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0742

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0685

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0674

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0659

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0650

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0538

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0513

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0506

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0502

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0502

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`)