TreeWAS – [O40] Polyhydramnios

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
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.810	0.190	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.791	0.209	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.772	0.228	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.748	0.252	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.728	0.272	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.712	0.288	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.712	0.288	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.712	0.288	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.709	0.291	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.705	0.295	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.680	0.320	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.676	0.324	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.675	0.324	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.672	0.328	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.661	0.339	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.659	0.341	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.000	0.348	0.652
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.644	0.356	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.630	0.370	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.621	0.379	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.615	0.385	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.610	0.390	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.610	0.390	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.608	0.392	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.608	0.392	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.607	0.393	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.607	0.393	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.603	0.397	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.599	0.401	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.595	0.405	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.594	0.406	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.578	0.422	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.563	0.437	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.556	0.444	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.550	0.450	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.548	0.452	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.547	0.453	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.521	0.479	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.517	0.483	0.000
rs62202398 lBF = `0.362478` Chr`20` : `46,801,224`	0.512	0.488	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.509	0.491	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.509	0.491	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.499	0.501	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.498	0.502	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.497	0.503	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.484	0.516	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.480	0.520	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.478	0.522	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.459	0.541	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.436	0.564	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.422	0.578	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.420	0.580	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.417	0.583	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.414	0.586	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.395	0.605	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.376	0.624	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.372	0.628	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.367	0.633	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.361	0.639	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.357	0.643	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.346	0.654	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.333	0.667	0.000
rs970084 lBF = `0.222611` Chr`20` : `1,221,171`	0.332	0.668	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.323	0.677	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.295	0.705	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.286	0.714	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.278	0.722	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.267	0.733	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.261	0.739	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.259	0.741	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.259	0.741	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.258	0.742	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.254	0.746	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.249	0.750	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.247	0.753	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.239	0.761	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.236	0.764	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.230	0.770	0.000
rs73078593 lBF = `0.17331` Chr`20` : `12,291,523`	0.000	0.788	0.211
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.210	0.790	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.201	0.799	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.191	0.809	0.000
rs16997087 lBF = `0.11076` Chr`20` : `16,054,982`	0.188	0.812	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.184	0.816	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.181	0.818	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.178	0.821	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.176	0.824	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.160	0.840	0.000
rs2144940 lBF = `0.095381` Chr`20` : `23,050,806`	0.000	0.851	0.149
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.147	0.852	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.134	0.866	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.132	0.868	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.870	0.130
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.120	0.880	0.000
rs6080550 lBF = `0.148133` Chr`20` : `1,759,590`	0.000	0.882	0.118
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.109	0.891	0.001
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.107	0.893	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.101	0.899	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.091	0.909	0.000
rs6049375 lBF = `0.0618387` Chr`20` : `24,058,407`	0.085	0.915	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.083	0.917	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.080	0.920	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.071	0.929	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.070	0.930	0.000
rs12625057 lBF = `0.012655` Chr`20` : `57,790,436`	0.067	0.933	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.062	0.938	0.000
rs1406961 lBF = `0.508594` Chr`20` : `61,895,920`	0.058	0.941	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.057	0.943	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.054	0.946	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.053	0.946	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.049	0.949	0.002
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.050	0.950	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.050	0.950	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.049	0.951	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.048	0.951	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.048	0.952	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.954	0.046
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.044	0.955	0.001
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.045	0.955	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.044	0.956	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.042	0.957	0.000
rs159788 lBF = `0.0175034` Chr`20` : `4,352,104`	0.039	0.961	0.000
rs45461993 lBF = `5.77094` Chr`20` : `61,983,901`	0.037	0.963	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.035	0.963	0.002
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.036	0.964	0.000
rs7274581 lBF = `0.081653` Chr`20` : `55,018,260`	0.035	0.965	0.000
rs55734731 lBF = `-0.0410288` Chr`20` : `38,572,414`	0.031	0.969	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.029	0.971	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.027	0.973	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.023	0.977	0.000
rs3746446 lBF = `0.625774` Chr`20` : `33,574,765`	0.023	0.977	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.022	0.978	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.020	0.979	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.020	0.979	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.980	0.020
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.012	0.980	0.008
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.018	0.982	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.018	0.982	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.018	0.982	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.018	0.982	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.017	0.983	0.000
rs116940963 lBF = `0.0121686` Chr`20` : `10,271,367`	0.015	0.985	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.015	0.985	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.000	0.987	0.013
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.012	0.987	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.011	0.988	0.000
rs6108038 lBF = `-0.0172308` Chr`20` : `819,662`	0.010	0.990	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.009	0.990	0.001
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.000	0.991	0.009
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.008	0.992	0.000
rs10470013 lBF = `0.0023234` Chr`20` : `49,609,677`	0.007	0.993	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.007	0.993	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.006	0.993	0.000
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.006	0.994	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.006	0.994	0.000
rs6102059 lBF = `-0.0450916` Chr`20` : `39,228,784`	0.006	0.994	0.000
rs55864139 lBF = `0.0388845` Chr`20` : `40,049,579`	0.005	0.995	0.000
rs6027072 lBF = `-0.0222178` Chr`20` : `37,284,070`	0.004	0.995	0.000
rs1465537 lBF = `6.53338` Chr`20` : `57,698,020`	0.000	0.996	0.004
rs199307 lBF = `0.046558` Chr`20` : `15,177,580`	0.000	0.996	0.004
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.004	0.996	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.996	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.003	0.997	0.000
rs2426087 lBF = `0.00758754` Chr`20` : `47,379,811`	0.003	0.997	0.000
rs2425224 lBF = `13.1546` Chr`20` : `35,002,849`	0.000	0.997	0.003
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.003	0.997	0.000
rs16985615 lBF = `-0.0301459` Chr`20` : `23,642,427`	0.003	0.997	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.003	0.997	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.997	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs1233754 lBF = `0.0121221` Chr`20` : `15,552,811`	0.000	0.998	0.002
rs2023454 lBF = `-0.00136264` Chr`20` : `53,267,111`	0.002	0.998	0.000
rs1012621 lBF = `9.74089` Chr`20` : `2,306,312`	0.000	0.998	0.002
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	0.998	0.002
rs13831 lBF = `-0.0615672` Chr`20` : `57,475,191`	0.002	0.998	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.002	0.998	0.000
rs1853092 lBF = `13.3769` Chr`20` : `2,304,376`	0.002	0.998	0.000
rs328506 lBF = `0.183532` Chr`20` : `56,029,604`	0.002	0.998	0.000
rs6105057 lBF = `0.00519414` Chr`20` : `13,229,326`	0.002	0.998	0.000
rs236720 lBF = `14.4396` Chr`20` : `57,702,611`	0.000	0.998	0.002
rs113118940 lBF = `-0.0100061` Chr`20` : `23,494,846`	0.000	0.998	0.001
rs7267421 lBF = `0.0625389` Chr`20` : `15,227,636`	0.002	0.998	0.000
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.001	0.998	0.000
rs2248359 lBF = `-0.0895987` Chr`20` : `52,791,518`	0.000	0.998	0.002
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs6026584 lBF = `-0.0362936` Chr`20` : `57,469,073`	0.001	0.999	0.000
rs6041428 lBF = `0.015758` Chr`20` : `12,506,345`	0.001	0.999	0.000
rs297755 lBF = `0.0130089` Chr`20` : `4,501,875`	0.000	0.999	0.001
rs878131 lBF = `-0.0632548` Chr`20` : `45,680,502`	0.000	0.999	0.001
rs2424460 lBF = `-0.0580349` Chr`20` : `22,740,897`	0.000	0.999	0.001
rs6082442 lBF = `7.80489` Chr`20` : `2,205,138`	0.001	0.999	0.000
rs1570669 lBF = `0.0758861` Chr`20` : `52,774,427`	0.000	0.999	0.001
rs2057291 lBF = `-0.038961` Chr`20` : `57,472,043`	0.001	0.999	0.000
rs4141463 lBF = `-0.101518` Chr`20` : `14,747,471`	0.001	0.999	0.000
rs2427345 lBF = `0.0858361` Chr`20` : `61,015,611`	0.001	0.999	0.000
rs6072869 lBF = `5.17642` Chr`20` : `41,399,171`	0.001	0.999	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs16989303 lBF = `0.131312` Chr`20` : `4,169,079`	0.000	0.999	0.001
rs2423942 lBF = `-0.0257381` Chr`20` : `15,323,282`	0.001	0.999	0.000
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rs6513791 lBF = `-0.0699982` Chr`20` : `41,058,122`	0.000	1.000	0.000
rs860148 lBF = `-0.0721227` Chr`20` : `59,765,295`	0.000	1.000	0.000
rs12480819 lBF = `-0.0786368` Chr`20` : `17,592,300`	0.000	1.000	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	1.000	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.000	1.000	0.000
rs4815070 lBF = `8.72648` Chr`20` : `2,235,758`	0.000	1.000	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.000	1.000	0.000
rs6029526 lBF = `1.42228` Chr`20` : `39,672,618`	0.000	1.000	0.000
rs6120974 lBF = `0.142245` Chr`20` : `34,126,827`	0.000	1.000	0.000
rs7262634 lBF = `0.0904071` Chr`20` : `45,834,279`	0.000	1.000	0.000
rs75691080 lBF = `0.0598647` Chr`20` : `62,269,750`	0.000	1.000	0.000
rs6035126 lBF = `0.055357` Chr`20` : `1,929,542`	0.000	1.000	0.000
rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	1.000	0.000
rs6054374 lBF = `0.0370088` Chr`20` : `6,578,556`	0.000	1.000	0.000
rs6056869 lBF = `0.0352194` Chr`20` : `9,762,448`	0.000	1.000	0.000
rs17124372 lBF = `0.0324534` Chr`20` : `31,798,437`	0.000	1.000	0.000
rs62204504 lBF = `0.0196843` Chr`20` : `42,795,048`	0.000	1.000	0.000
rs6120141 lBF = `0.0159469` Chr`20` : `31,768,655`	0.000	1.000	0.000
rs754626 lBF = `0.0157014` Chr`20` : `36,017,340`	0.000	1.000	0.000
rs6085920 lBF = `-0.00040263` Chr`20` : `7,180,056`	0.000	1.000	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.000	1.000	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	0.000	1.000	0.000
rs11699237 lBF = `-0.0217365` Chr`20` : `55,683,996`	0.000	1.000	0.000
rs6042507 lBF = `-0.0271537` Chr`20` : `1,459,060`	0.000	1.000	0.000
rs913678 lBF = `-0.0425097` Chr`20` : `48,955,424`	0.000	1.000	0.000
rs721424 lBF = `-0.0462477` Chr`20` : `20,339,310`	0.000	1.000	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.000	1.000	0.000
rs214785 lBF = `36.4332` Chr`20` : `2,283,457`	0.000	1.000	0.000
rs214782 lBF = `35.5963` Chr`20` : `2,281,970`	0.000	1.000	0.000
rs59586681 lBF = `16.8913` Chr`20` : `2,220,310`	0.000	1.000	0.000
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.000	1.000	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs4813003 lBF = `1.02644` Chr`20` : `44,763,284`	0.000	1.000	0.000
rs11086243 lBF = `0.0395968` Chr`20` : `46,779,235`	0.000	1.000	0.000
rs1569723 lBF = `-0.0161558` Chr`20` : `44,742,064`	0.000	1.000	0.000
rs4814920 lBF = `-0.0166134` Chr`20` : `19,865,956`	0.000	1.000	0.000
rs6046393 lBF = `-0.0190458` Chr`20` : `19,852,250`	0.000	1.000	0.000
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.000	1.000	0.000
rs4809847 lBF = `-0.0275072` Chr`20` : `50,108,320`	0.000	1.000	0.000
rs6129564 lBF = `-0.0430908` Chr`20` : `38,904,203`	0.000	1.000	0.000
rs6102185 lBF = `-0.0434923` Chr`20` : `39,478,533`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs6110809 lBF = `-0.0517478` Chr`20` : `15,851,077`	0.000	1.000	0.000
rs6011674 lBF = `-0.0667445` Chr`20` : `61,854,452`	0.000	1.000	0.000
rs2326679 lBF = `-0.0685404` Chr`20` : `6,035,228`	0.000	1.000	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.000	1.000	0.000
rs143384 lBF = `39.0273` Chr`20` : `34,025,756`	0.000	1.000	0.000
rs214803 lBF = `38.436` Chr`20` : `2,290,333`	0.000	1.000	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.000	1.000	0.000
rs6015450 lBF = `12.9686` Chr`20` : `57,751,117`	0.000	1.000	0.000
rs6062496 lBF = `5.7564` Chr`20` : `62,329,099`	0.000	1.000	0.000
rs6060448 lBF = `5.01857` Chr`20` : `34,112,192`	0.000	1.000	0.000
rs586446 lBF = `0.660488` Chr`20` : `4,387,134`	0.000	1.000	0.000
rs17190927 lBF = `0.65024` Chr`20` : `13,123,733`	0.000	1.000	0.000
rs2145270 lBF = `0.144181` Chr`20` : `6,621,685`	0.000	1.000	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.000	1.000	0.000
rs6579245 lBF = `0.0252453` Chr`20` : `34,125,271`	0.000	1.000	0.000
rs6017291 lBF = `0.00463084` Chr`20` : `42,854,134`	0.000	1.000	0.000
rs6017317 lBF = `-0.00063152` Chr`20` : `42,946,966`	0.000	1.000	0.000
rs3890324 lBF = `-0.00538085` Chr`20` : `41,072,655`	0.000	1.000	0.000
rs6099314 lBF = `-0.0154223` Chr`20` : `55,454,659`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.000	1.000	0.000
rs910191 lBF = `-0.0284164` Chr`20` : `47,088,732`	0.000	1.000	0.000
rs3790268 lBF = `-0.0426481` Chr`20` : `19,571,581`	0.000	1.000	0.000
rs6090583 lBF = `-0.0566955` Chr`20` : `45,558,831`	0.000	1.000	0.000
rs17725255 lBF = `-0.071588` Chr`20` : `18,079,131`	0.000	1.000	0.000
rs6138892 lBF = `-0.0779209` Chr`20` : `2,755,488`	0.000	1.000	0.000
rs6065945 lBF = `-0.0812995` Chr`20` : `44,921,631`	0.000	1.000	0.000
rs28620942 lBF = `-0.110385` Chr`20` : `55,101,317`	0.000	1.000	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.000	1.000	0.000
rs224329 lBF = `36.2774` Chr`20` : `34,019,579`	0.000	1.000	0.000
rs78110303 lBF = `35.1732` Chr`20` : `34,025,983`	0.000	1.000	0.000
rs16982520 lBF = `11.4522` Chr`20` : `57,758,720`	0.000	1.000	0.000
rs11907546 lBF = `9.88038` Chr`20` : `32,719,797`	0.000	1.000	0.000
rs6088792 lBF = `9.74149` Chr`20` : `33,909,784`	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
rs1015563 lBF = `8.09166` Chr`20` : `6,690,101`	0.000	1.000	0.000
rs1203951 lBF = `7.57183` Chr`20` : `22,611,301`	0.000	1.000	0.000
rs2297441 lBF = `0.960517` Chr`20` : `62,327,582`	0.000	1.000	0.000
rs6088580 lBF = `0.89953` Chr`20` : `33,285,053`	0.000	1.000	0.000
rs909341 lBF = `0.73248` Chr`20` : `62,328,742`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs6070116 lBF = `0.366143` Chr`20` : `56,044,184`	0.000	1.000	0.000
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.000	1.000	0.000
rs871913 lBF = `0.115156` Chr`20` : `16,144,345`	0.000	1.000	0.000
rs2064279 lBF = `0.0391112` Chr`20` : `42,094,474`	0.000	1.000	0.000
rs6137287 lBF = `0.0261537` Chr`20` : `21,180,259`	0.000	1.000	0.000
rs237743 lBF = `0.0156062` Chr`20` : `47,903,019`	0.000	1.000	0.000
rs1567865 lBF = `0.0094387` Chr`20` : `47,881,967`	0.000	1.000	0.000
rs4239702 lBF = `0.00330044` Chr`20` : `44,749,251`	0.000	1.000	0.000
rs4811117 lBF = `0.00042833` Chr`20` : `49,671,435`	0.000	1.000	0.000
rs2425752 lBF = `-0.00642696` Chr`20` : `44,702,120`	0.000	1.000	0.000
rs1413020 lBF = `-0.0145749` Chr`20` : `12,730,042`	0.000	1.000	0.000
rs2745851 lBF = `-0.0147856` Chr`20` : `17,829,280`	0.000	1.000	0.000
rs1883832 lBF = `-0.0168904` Chr`20` : `44,746,982`	0.000	1.000	0.000
rs4810485 lBF = `-0.0176317` Chr`20` : `44,747,947`	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.6286

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3874

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9960

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9942

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9863

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9780

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9780

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9741

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9676

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9624

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9616

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9575

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9558

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9419

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9388

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9380

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9330

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9315

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9258

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9239

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9219

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9155

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9151

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9118

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9116

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9098

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.9064

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9062

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9056

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9048

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9039

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9038

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9037

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9034

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9030

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9017

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8965

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8873

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8847

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8840

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8826

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8771

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8770

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8757

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8741

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8719

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8712

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8654

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8635

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8634

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8599

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8594

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8544

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8544

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8538

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8522

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8518

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8509

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8497

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8492

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8483

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8446

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8445

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8440

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8401

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8399

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8396

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8358

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8338

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8309

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8295

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8287

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8272

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8271

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8270

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8258

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8210

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8175

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8175

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8129

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8082

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8050

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8043

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.8032

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7907

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7890

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7869

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7869

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7855

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7814

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7785

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7770

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7747

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7727

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7672

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7656

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7644

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7624

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7536

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7535

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7535

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7514

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7466

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7464

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7440

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7438

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7364

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7351

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7316

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7303

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7177

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7173

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7171

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7150

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7090

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7032

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6997

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6851

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6780

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6746

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6739

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6673

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6654

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6637

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6631

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6622

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6552

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6539

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6468

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6362

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6238

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6221

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6150

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6030

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5982

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5764

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5761

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5669

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5662

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5616

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5342

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4986

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4832

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4814

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4707

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4607

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4266

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4213

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4024

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3479

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3310

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3245

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3144

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3142

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2920

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2785

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2444

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2163

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2120

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2016

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1965

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1869

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1797

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1465

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1437

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1358

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1310

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1039

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0989

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0894

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0754

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0721

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0714

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0682

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0667

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`)