TreeWAS – [H90] Conductive and sensorineural hearing loss

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
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.948	0.052	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.883	0.117	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.876	0.124	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.853	0.147	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.852	0.148	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.828	0.172	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.813	0.187	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.745	0.255	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.728	0.272	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.695	0.305	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.677	0.323	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.671	0.329	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.644	0.355	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.626	0.374	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.625	0.375	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.607	0.393	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.598	0.401	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.598	0.402	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.593	0.407	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.592	0.408	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.590	0.410	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.567	0.433	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.562	0.438	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.556	0.444	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.545	0.455	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.535	0.465	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.528	0.472	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.521	0.479	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.519	0.481	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.496	0.504	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.493	0.507	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.492	0.508	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.480	0.520	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.479	0.521	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.479	0.521	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.467	0.533	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.463	0.537	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.460	0.540	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.458	0.542	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.457	0.543	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.456	0.544	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.447	0.553	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.432	0.568	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.430	0.570	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.429	0.571	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.418	0.581	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.418	0.582	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.415	0.585	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.413	0.587	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.405	0.595	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.399	0.601	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.397	0.603	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.385	0.615	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.381	0.619	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.377	0.623	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.370	0.630	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.356	0.644	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.355	0.645	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.354	0.646	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.349	0.651	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.345	0.655	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.342	0.658	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.332	0.668	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.331	0.668	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.330	0.670	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.326	0.674	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.322	0.678	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.321	0.679	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.318	0.682	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.318	0.682	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.317	0.683	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.304	0.696	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.297	0.702	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.297	0.703	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.296	0.704	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.288	0.712	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.287	0.713	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.284	0.716	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.284	0.716	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.283	0.717	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.281	0.719	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.276	0.724	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.271	0.729	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.271	0.729	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.266	0.734	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.264	0.735	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.259	0.741	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.249	0.751	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.248	0.751	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.240	0.760	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.233	0.767	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.220	0.779	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.219	0.780	0.001
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.218	0.781	0.001
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.217	0.782	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.213	0.786	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.209	0.791	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.793	0.206
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.203	0.797	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.197	0.802	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.197	0.803	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.187	0.813	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.184	0.816	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.827	0.172
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.165	0.835	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.154	0.846	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.141	0.859	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.140	0.859	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.871	0.129
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.129	0.871	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.128	0.872	0.001
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.127	0.873	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.122	0.878	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.121	0.879	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.117	0.883	0.000
rs45461993 lBF = `5.77094` Chr`20` : `61,983,901`	0.115	0.885	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.897	0.103
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.100	0.899	0.001
rs11696845 lBF = `0.0701649` Chr`20` : `43,371,320`	0.075	0.925	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.074	0.926	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.069	0.930	0.001
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.065	0.935	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.057	0.943	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.050	0.950	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.042	0.958	0.000
rs6046393 lBF = `-0.0190458` Chr`20` : `19,852,250`	0.041	0.959	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.041	0.959	0.000
rs235770 lBF = `0.0982254` Chr`20` : `6,761,765`	0.039	0.961	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.035	0.965	0.000
rs6054512 lBF = `0.0882823` Chr`20` : `6,761,512`	0.031	0.969	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.030	0.970	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.026	0.974	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.026	0.974	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.026	0.974	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.026	0.974	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.026	0.974	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.022	0.978	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.020	0.979	0.000
rs6013382 lBF = `-0.0993429` Chr`20` : `50,702,633`	0.000	0.980	0.020
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.019	0.981	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.019	0.981	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.017	0.983	0.000
rs6084875 lBF = `-0.0504959` Chr`20` : `4,742,705`	0.015	0.985	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.015	0.985	0.000
rs3790268 lBF = `-0.0426481` Chr`20` : `19,571,581`	0.013	0.987	0.000
rs4814615 lBF = `-0.0668948` Chr`20` : `17,357,573`	0.013	0.987	0.000
rs961253 lBF = `2.77027` Chr`20` : `6,404,281`	0.000	0.989	0.011
rs6030171 lBF = `0.0876612` Chr`20` : `40,994,094`	0.000	0.990	0.010
rs16982520 lBF = `11.4522` Chr`20` : `57,758,720`	0.000	0.990	0.010
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.009	0.990	0.001
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.009	0.991	0.000
rs6015450 lBF = `12.9686` Chr`20` : `57,751,117`	0.000	0.993	0.007
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.006	0.994	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.006	0.994	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.006	0.994	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.005	0.994	0.001
rs910191 lBF = `-0.0284164` Chr`20` : `47,088,732`	0.000	0.994	0.006
rs116940963 lBF = `0.0121686` Chr`20` : `10,271,367`	0.005	0.995	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.005	0.995	0.000
rs12625057 lBF = `0.012655` Chr`20` : `57,790,436`	0.005	0.995	0.000
rs6085920 lBF = `-0.00040263` Chr`20` : `7,180,056`	0.000	0.995	0.005
rs4811117 lBF = `0.00042833` Chr`20` : `49,671,435`	0.004	0.996	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.004	0.996	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.004	0.996	0.000
rs6087771 lBF = `0.00596033` Chr`20` : `30,306,724`	0.004	0.996	0.000
rs6044834 lBF = `-0.0292816` Chr`20` : `17,436,473`	0.000	0.996	0.004
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.003	0.996	0.000
rs16985493 lBF = `0.0534807` Chr`20` : `60,293,563`	0.004	0.996	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.996	0.000
rs2426087 lBF = `0.00758754` Chr`20` : `47,379,811`	0.004	0.996	0.000
rs2023454 lBF = `-0.00136264` Chr`20` : `53,267,111`	0.004	0.996	0.000
rs76473307 lBF = `0.0104573` Chr`20` : `57,406,068`	0.003	0.997	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.003	0.997	0.001
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.003	0.997	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.002	0.997	0.001
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.002	0.997	0.001
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.003	0.997	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.002	0.997	0.001
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.997	0.000
rs55864139 lBF = `0.0388845` Chr`20` : `40,049,579`	0.002	0.997	0.000
rs502716 lBF = `-0.098731` Chr`20` : `926,397`	0.003	0.997	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.998	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.002	0.998	0.000
rs157093 lBF = `-0.0495069` Chr`20` : `56,252,956`	0.002	0.998	0.000
rs6051520 lBF = `0.402702` Chr`20` : `351,944`	0.002	0.998	0.000
rs4402823 lBF = `-0.00295026` Chr`20` : `47,089,525`	0.000	0.998	0.002
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.002	0.998	0.000
rs13036344 lBF = `1.14379` Chr`20` : `31,313,737`	0.000	0.998	0.002
rs11696277 lBF = `-0.066727` Chr`20` : `17,264,604`	0.000	0.998	0.002
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs259991 lBF = `0.139819` Chr`20` : `57,728,348`	0.002	0.998	0.000
rs55734731 lBF = `-0.0410288` Chr`20` : `38,572,414`	0.000	0.998	0.002
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.002	0.998	0.000
rs328506 lBF = `0.183532` Chr`20` : `56,029,604`	0.002	0.998	0.000
rs4468878 lBF = `0.32969` Chr`20` : `59,928,237`	0.002	0.998	0.000
rs17190927 lBF = `0.65024` Chr`20` : `13,123,733`	0.002	0.998	0.000
rs4810796 lBF = `-0.015137` Chr`20` : `47,088,200`	0.000	0.998	0.002
rs1741629 lBF = `0.0615061` Chr`20` : `23,898,995`	0.002	0.998	0.000
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.000	0.998	0.002
rs4458264 lBF = `-0.0127124` Chr`20` : `47,089,537`	0.000	0.998	0.002
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rs6074578 lBF = `0.867493` Chr`20` : `191,797`	0.000	1.000	0.000
rs6515773 lBF = `0.0393888` Chr`20` : `3,174,105`	0.000	1.000	0.000
rs159788 lBF = `0.0175034` Chr`20` : `4,352,104`	0.000	1.000	0.000
rs1567865 lBF = `0.0094387` Chr`20` : `47,881,967`	0.000	1.000	0.000
rs238295 lBF = `-0.0365252` Chr`20` : `5,588,449`	0.000	1.000	0.000
rs1884136 lBF = `-0.0594906` Chr`20` : `10,850,464`	0.000	1.000	0.000
rs6080100 lBF = `-0.113781` Chr`20` : `16,003,406`	0.000	1.000	0.000
rs4815070 lBF = `8.72648` Chr`20` : `2,235,758`	0.000	1.000	0.000
rs6072869 lBF = `5.17642` Chr`20` : `41,399,171`	0.000	1.000	0.000
rs4297946 lBF = `1.68864` Chr`20` : `39,811,275`	0.000	1.000	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.000	1.000	0.000
rs73078593 lBF = `0.17331` Chr`20` : `12,291,523`	0.000	1.000	0.000
rs1158167 lBF = `-0.00362974` Chr`20` : `23,578,189`	0.000	1.000	0.000
rs6102185 lBF = `-0.0434923` Chr`20` : `39,478,533`	0.000	1.000	0.000
rs10485813 lBF = `-0.0491565` Chr`20` : `51,583,983`	0.000	1.000	0.000
rs6011674 lBF = `-0.0667445` Chr`20` : `61,854,452`	0.000	1.000	0.000
rs4925386 lBF = `15.667` Chr`20` : `60,921,044`	0.000	1.000	0.000
rs6097169 lBF = `0.310093` Chr`20` : `51,557,161`	0.000	1.000	0.000
rs1884897 lBF = `0.206925` Chr`20` : `6,612,832`	0.000	1.000	0.000
rs6127978 lBF = `0.10398` Chr`20` : `55,819,173`	0.000	1.000	0.000
rs816535 lBF = `0.0536421` Chr`20` : `26,255,996`	0.000	1.000	0.000
rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	1.000	0.000
rs6020157 lBF = `0.0340282` Chr`20` : `48,591,758`	0.000	1.000	0.000
rs2072910 lBF = `0.0189078` Chr`20` : `9,365,303`	0.000	1.000	0.000
rs237743 lBF = `0.0156062` Chr`20` : `47,903,019`	0.000	1.000	0.000
rs3790160 lBF = `-0.0005509` Chr`20` : `10,639,988`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs6049839 lBF = `-0.0755009` Chr`20` : `2,518,565`	0.000	1.000	0.000
rs6042314 lBF = `-0.0855334` Chr`20` : `13,696,129`	0.000	1.000	0.000
rs967417 lBF = `-0.101207` Chr`20` : `6,620,893`	0.000	1.000	0.000
rs6065777 lBF = `-0.104166` Chr`20` : `43,669,641`	0.000	1.000	0.000
rs11698080 lBF = `17.6983` Chr`20` : `60,899,182`	0.000	1.000	0.000
rs1007458 lBF = `10.3983` Chr`20` : `22,587,676`	0.000	1.000	0.000
rs975525 lBF = `5.99113` Chr`20` : `22,640,412`	0.000	1.000	0.000
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.000	1.000	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs16985615 lBF = `-0.0301459` Chr`20` : `23,642,427`	0.000	1.000	0.000
rs1291101 lBF = `-0.0352245` Chr`20` : `35,494,086`	0.000	1.000	0.000
rs2236176 lBF = `-0.0485044` Chr`20` : `21,081,488`	0.000	1.000	0.000
rs6110809 lBF = `-0.0517478` Chr`20` : `15,851,077`	0.000	1.000	0.000
rs6095357 lBF = `-0.0597717` Chr`20` : `47,523,865`	0.000	1.000	0.000
rs6030712 lBF = `-0.0770843` Chr`20` : `35,637,398`	0.000	1.000	0.000
rs495337 lBF = `-0.111289` Chr`20` : `48,522,330`	0.000	1.000	0.000
rs1573706 lBF = `7.31447` Chr`20` : `40,921,149`	0.000	1.000	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.000	1.000	0.000
rs586446 lBF = `0.660488` Chr`20` : `4,387,134`	0.000	1.000	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.000	1.000	0.000
rs6108011 lBF = `0.0351163` Chr`20` : `7,552,504`	0.000	1.000	0.000
rs73084982 lBF = `0.0202311` Chr`20` : `3,411,053`	0.000	1.000	0.000
rs34972666 lBF = `-0.0212135` Chr`20` : `2,384,972`	0.000	1.000	0.000
rs6110577 lBF = `-0.0322145` Chr`20` : `15,335,754`	0.000	1.000	0.000
rs16985452 lBF = `-0.0401319` Chr`20` : `60,265,853`	0.000	1.000	0.000
rs236114 lBF = `-0.0620348` Chr`20` : `5,935,385`	0.000	1.000	0.000
rs6072161 lBF = `-0.0629835` Chr`20` : `39,471,427`	0.000	1.000	0.000
rs6134479 lBF = `-0.111317` Chr`20` : `12,222,165`	0.000	1.000	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	1.000	0.000
rs6080212 lBF = `0.104464` Chr`20` : `16,277,630`	0.000	1.000	0.000
rs7270101 lBF = `0.0537043` Chr`20` : `3,193,893`	0.000	1.000	0.000
rs4815879 lBF = `-0.0208377` Chr`20` : `5,949,534`	0.000	1.000	0.000
rs35829183 lBF = `-0.025036` Chr`20` : `20,044,759`	0.000	1.000	0.000
rs62195918 lBF = `-0.0297742` Chr`20` : `8,275,645`	0.000	1.000	0.000
rs1028444 lBF = `-0.0547138` Chr`20` : `22,267,058`	0.000	1.000	0.000
rs4141463 lBF = `-0.101518` Chr`20` : `14,747,471`	0.000	1.000	0.000
rs2235617 lBF = `-0.109036` Chr`20` : `48,554,977`	0.000	1.000	0.000
rs2073233 lBF = `-0.122407` Chr`20` : `12,874,585`	0.000	1.000	0.000
rs2425163 lBF = `2.5363` Chr`20` : `34,432,670`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs6110969 lBF = `0.0647183` Chr`20` : `16,197,510`	0.000	1.000	0.000
rs1127354 lBF = `0.0132189` Chr`20` : `3,193,842`	0.000	1.000	0.000
rs13043330 lBF = `0.00674976` Chr`20` : `3,756,597`	0.000	1.000	0.000
rs6056209 lBF = `0.00415977` Chr`20` : `8,836,771`	0.000	1.000	0.000
rs11697186 lBF = `-0.00429208` Chr`20` : `3,185,123`	0.000	1.000	0.000
rs2273061 lBF = `-0.0226879` Chr`20` : `10,639,543`	0.000	1.000	0.000
rs6047844 lBF = `-0.037577` Chr`20` : `22,037,575`	0.000	1.000	0.000
rs6051080 lBF = `-0.0480208` Chr`20` : `25,975,674`	0.000	1.000	0.000
rs2236178 lBF = `-0.0488682` Chr`20` : `21,142,813`	0.000	1.000	0.000
rs878131 lBF = `-0.0632548` Chr`20` : `45,680,502`	0.000	1.000	0.000
rs11698685 lBF = `-0.0633394` Chr`20` : `58,895,846`	0.000	1.000	0.000
rs6012564 lBF = `-0.0731638` Chr`20` : `47,541,600`	0.000	1.000	0.000
rs12480534 lBF = `-0.0741929` Chr`20` : `44,761,485`	0.000	1.000	0.000
rs6027506 lBF = `-0.0754539` Chr`20` : `58,896,715`	0.000	1.000	0.000
rs2281808 lBF = `-0.101116` Chr`20` : `1,610,551`	0.000	1.000	0.000
rs1056198 lBF = `-0.10939` Chr`20` : `48,556,229`	0.000	1.000	0.000
rs6085661 lBF = `9.12054` Chr`20` : `6,693,128`	0.000	1.000	0.000
rs4813802 lBF = `8.65379` Chr`20` : `6,699,595`	0.000	1.000	0.000
rs2425052 lBF = `8.43174` Chr`20` : `33,880,729`	0.000	1.000	0.000
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.000	1.000	0.000
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.000	1.000	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.000	1.000	0.000
rs2276498 lBF = `0.495772` Chr`20` : `52,610,496`	0.000	1.000	0.000
rs6040449 lBF = `0.377949` Chr`20` : `11,209,522`	0.000	1.000	0.000
rs6080550 lBF = `0.148133` Chr`20` : `1,759,590`	0.000	1.000	0.000
rs2145270 lBF = `0.144181` Chr`20` : `6,621,685`	0.000	1.000	0.000
rs12481680 lBF = `0.134` Chr`20` : `56,428,705`	0.000	1.000	0.000
rs6049375 lBF = `0.0618387` Chr`20` : `24,058,407`	0.000	1.000	0.000
rs55970365 lBF = `0.0105177` Chr`20` : `38,725,186`	0.000	1.000	0.000
rs6139030 lBF = `-0.0024395` Chr`20` : `3,187,733`	0.000	1.000	0.000
rs35610040 lBF = `-0.0065854` Chr`20` : `23,616,469`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1175

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

1.0000

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

1.0000

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

1.0000

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9999

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9999

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9999

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9999

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9998

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9998

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9997

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9997

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9995

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9995

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9994

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9994

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9993

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9988

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9987

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9986

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9985

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9977

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9975

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9974

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9973

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9963

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9958

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9957

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9956

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9955

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9948

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9945

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9944

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9940

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9936

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9934

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9931

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9927

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9926

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9918

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9917

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9914

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9913

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9913

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9905

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9904

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9898

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9893

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9885

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9884

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9872

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9869

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9867

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9862

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9855

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9851

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9843

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9830

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9813

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9803

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9801

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9781

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9770

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9762

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9732

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9725

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9696

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9695

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.9691

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9682

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9680

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9659

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9651

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9636

Cluster X0251

log Bayes Factor = 16.792

contains 2 variants

0.9595

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9556

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9514

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9456

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9446

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9412

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9404

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9373

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9317

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9308

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9279

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9271

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9254

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9248

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9230

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9223

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9157

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9147

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9058

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9008

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8987

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8981

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8978

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8963

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8925

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8895

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8890

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8824

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8817

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8809

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8808

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8803

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8759

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8749

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8696

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8665

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8643

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.8636

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8597

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8563

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.8537

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8502

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8501

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8496

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8495

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8386

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8325

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8248

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8247

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8232

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8102

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7947

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7892

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7888

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7812

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7809

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7805

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7733

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7694

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7659

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7628

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7517

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.7498

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7337

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7268

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7250

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7108

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7106

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7072

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7061

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6988

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6752

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6682

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6673

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6658

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6515

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6453

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6333

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6181

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6078

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5979

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5978

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5945

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5671

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5481

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5344

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5297

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5235

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5234

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5184

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4961

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4840

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4710

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4633

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4426

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4348

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4006

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.3880

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3805

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3773

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3663

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3586

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3581

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3483

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3458

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3341

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3138

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3110

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3059

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2891

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2799

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2789

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2786

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2378

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2309

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2016

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1943

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1865

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1845

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1663

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1590

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1579

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1285

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1174

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1079

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1057

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1056

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0918

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0841

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0743

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0640

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0627

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0568

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0529

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0518

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`)