TreeWAS – [I30.9] Acute pericarditis, unspecified

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
rs75021220 lBF = `47.1082` Chr`4` : `111,658,394`	0.818	0.182	0.000
rs17042081 lBF = `59.9223` Chr`4` : `111,653,211`	0.770	0.230	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.693	0.307	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.690	0.310	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.679	0.321	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.677	0.323	0.000
rs6817105 lBF = `64.6903` Chr`4` : `111,705,768`	0.675	0.325	0.000
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.669	0.331	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.656	0.344	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.653	0.347	0.000
rs2200733 lBF = `66.0925` Chr`4` : `111,710,169`	0.650	0.350	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.650	0.350	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.637	0.363	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.626	0.374	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.616	0.384	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.612	0.388	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.593	0.407	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.588	0.412	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.582	0.418	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.578	0.422	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.578	0.422	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.571	0.428	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.567	0.433	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.565	0.435	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.559	0.441	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.555	0.445	0.000
rs2634074 lBF = `82.5116` Chr`4` : `111,677,041`	0.000	0.446	0.554
rs6843082 lBF = `86.0876` Chr`4` : `111,718,067`	0.553	0.447	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.551	0.449	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.547	0.453	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.545	0.455	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.543	0.457	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.540	0.460	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.540	0.460	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.540	0.460	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.540	0.460	0.000
rs1593 lBF = `19.3299` Chr`4` : `187,195,551`	0.000	0.485	0.515
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.514	0.486	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.514	0.486	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.514	0.486	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.513	0.487	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.513	0.487	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.511	0.488	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.510	0.489	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.510	0.490	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.509	0.490	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.507	0.492	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.504	0.496	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.503	0.497	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.501	0.498	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.501	0.499	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.500	0.500	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.499	0.501	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.498	0.502	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.496	0.504	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.495	0.505	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.495	0.505	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.495	0.505	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.494	0.506	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.494	0.506	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.493	0.507	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.492	0.508	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.490	0.509	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.488	0.512	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.488	0.512	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.514	0.485
rs4253418 lBF = `6.71583` Chr`4` : `187,199,497`	0.000	0.515	0.485
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.482	0.517	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.479	0.521	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.472	0.528	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.471	0.528	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.469	0.531	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.468	0.531	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.466	0.533	0.000
rs17072322 lBF = `5.23479` Chr`4` : `182,742,909`	0.466	0.534	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.465	0.534	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.465	0.535	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.464	0.535	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.463	0.536	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.463	0.536	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.463	0.537	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.460	0.539	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.459	0.540	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.459	0.541	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.456	0.544	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.455	0.544	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.454	0.545	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.452	0.548	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.450	0.549	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.448	0.551	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.446	0.554	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.441	0.558	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.441	0.558	0.000
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.441	0.558	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.441	0.559	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.440	0.559	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.430	0.569	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.430	0.570	0.000
rs1479279 lBF = `0.886523` Chr`4` : `12,099,335`	0.425	0.575	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.424	0.576	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.423	0.577	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.422	0.578	0.000
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.421	0.579	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.421	0.579	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.418	0.581	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.415	0.585	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.414	0.586	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.413	0.587	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.411	0.589	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.410	0.590	0.000
rs16998073 lBF = `43.6868` Chr`4` : `81,184,341`	0.409	0.591	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.407	0.593	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.406	0.594	0.000
rs62328524 lBF = `13.1701` Chr`4` : `161,682,941`	0.405	0.594	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.404	0.596	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.400	0.599	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.400	0.600	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.399	0.601	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.398	0.602	0.000
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.397	0.603	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.396	0.604	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.393	0.606	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.392	0.607	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.392	0.608	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.391	0.609	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.389	0.611	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.382	0.617	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.368	0.632	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.359	0.641	0.000
rs61361928 lBF = `1.47367` Chr`4` : `69,962,375`	0.353	0.647	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.349	0.651	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.346	0.654	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.345	0.655	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.665	0.335
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.329	0.671	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.327	0.672	0.000
rs143638193 lBF = `0.62416` Chr`4` : `141,500,705`	0.320	0.679	0.000
rs28875200 lBF = `1.01401` Chr`4` : `90,027,928`	0.320	0.680	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.318	0.682	0.000
rs10033464 lBF = `5.22253` Chr`4` : `111,720,761`	0.309	0.690	0.000
rs185609610 lBF = `1.07252` Chr`4` : `178,449,560`	0.305	0.695	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.304	0.696	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.303	0.697	0.000
rs11099098 lBF = `42.5263` Chr`4` : `81,169,912`	0.302	0.697	0.000
rs1375302 lBF = `13.7864` Chr`4` : `111,625,464`	0.302	0.698	0.000
rs4374681 lBF = `5.49218` Chr`4` : `1,566,164`	0.302	0.698	0.001
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.285	0.715	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.273	0.727	0.000
rs13141190 lBF = `36.6768` Chr`4` : `111,728,614`	0.272	0.728	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.264	0.736	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.263	0.737	0.000
rs17650401 lBF = `1.7716` Chr`4` : `24,375,833`	0.001	0.737	0.262
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.259	0.740	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.256	0.744	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.254	0.746	0.000
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.253	0.747	0.001
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.253	0.747	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.251	0.749	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.248	0.752	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.241	0.759	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.239	0.761	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.233	0.767	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.233	0.767	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.229	0.771	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.228	0.771	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.226	0.774	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.220	0.780	0.000
rs4253399 lBF = `27.1299` Chr`4` : `187,188,094`	0.213	0.787	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.190	0.809	0.001
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.190	0.810	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.190	0.810	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.178	0.821	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.178	0.822	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.165	0.835	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.162	0.838	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.155	0.845	0.000
rs6054 lBF = `0.191228` Chr`4` : `155,489,608`	0.152	0.848	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.151	0.849	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.151	0.849	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.145	0.855	0.001
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.144	0.855	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.142	0.858	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.140	0.860	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.139	0.861	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.136	0.863	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.135	0.865	0.000
rs902464 lBF = `0.590214` Chr`4` : `155,316,122`	0.000	0.868	0.132
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.131	0.868	0.001
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.132	0.868	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.131	0.869	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.131	0.869	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.129	0.871	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.128	0.872	0.000
rs16850864 lBF = `1.15468` Chr`4` : `75,160,824`	0.127	0.873	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.122	0.878	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.118	0.882	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.114	0.886	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.112	0.888	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.107	0.892	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.106	0.894	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.100	0.900	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.100	0.900	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.098	0.902	0.000
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rs907499 lBF = `0.00137205` Chr`4` : `26,137,019`	0.000	0.998	0.001
rs2358462 lBF = `-0.026819` Chr`4` : `149,570,680`	0.000	0.998	0.002
rs11732231 lBF = `0.00621864` Chr`4` : `86,683,560`	0.001	0.998	0.000
rs10049992 lBF = `-0.0220891` Chr`4` : `57,939,863`	0.002	0.998	0.000
rs6448432 lBF = `6.24801` Chr`4` : `26,098,810`	0.001	0.998	0.000
rs10805346 lBF = `13.4837` Chr`4` : `9,920,347`	0.001	0.999	0.000
rs12498806 lBF = `-0.0151598` Chr`4` : `127,363,097`	0.001	0.999	0.000
rs13126505 lBF = `11.7035` Chr`4` : `102,865,304`	0.001	0.999	0.001
rs17623373 lBF = `0.107538` Chr`4` : `185,121,733`	0.001	0.999	0.000
rs4444878 lBF = `28.4412` Chr`4` : `187,213,883`	0.001	0.999	0.000
rs4691380 lBF = `0.00010797` Chr`4` : `157,720,124`	0.001	0.999	0.000
rs1054627 lBF = `-0.00396841` Chr`4` : `88,732,692`	0.001	0.999	0.000
rs2289252 lBF = `30.302` Chr`4` : `187,207,381`	0.001	0.999	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.001	0.999	0.000
rs1115363 lBF = `0.00098881` Chr`4` : `67,073,143`	0.001	0.999	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.001	0.999	0.000
rs16990641 lBF = `0.00095957` Chr`4` : `35,009,208`	0.001	0.999	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.001	0.999	0.000
rs11930273 lBF = `-0.0365502` Chr`4` : `150,901,757`	0.001	0.999	0.000
rs7676966 lBF = `0.00539523` Chr`4` : `98,546,673`	0.001	0.999	0.000
rs294777 lBF = `0.00107084` Chr`4` : `69,682,471`	0.001	0.999	0.000
rs181519890 lBF = `0.0005955` Chr`4` : `87,683,715`	0.001	0.999	0.000
rs114070671 lBF = `0.00049337` Chr`4` : `41,056,716`	0.001	0.999	0.000
rs1528010 lBF = `-0.05794` Chr`4` : `99,668,463`	0.000	0.999	0.001
rs2518590 lBF = `0.00081962` Chr`4` : `17,435,090`	0.000	0.999	0.001
rs228611 lBF = `0.00051655` Chr`4` : `103,561,709`	0.000	0.999	0.001
rs10517086 lBF = `6.39699` Chr`4` : `26,085,511`	0.001	0.999	0.000
rs1038903 lBF = `0.900745` Chr`4` : `28,752,054`	0.000	0.999	0.001
rs17054392 lBF = `0.0005003` Chr`4` : `169,530,258`	0.001	0.999	0.000
rs10937705 lBF = `-0.0433491` Chr`4` : `6,183,184`	0.001	0.999	0.000
rs4974559 lBF = `0.157756` Chr`4` : `1,380,848`	0.001	0.999	0.000
rs190972371 lBF = `0.00073049` Chr`4` : `57,680,410`	0.001	0.999	0.000
rs11097431 lBF = `6.02195` Chr`4` : `95,506,842`	0.001	0.999	0.000
rs16871289 lBF = `-0.00003337` Chr`4` : `21,511,383`	0.001	0.999	0.000
rs2008242 lBF = `-0.0396811` Chr`4` : `5,221,538`	0.000	0.999	0.001
rs188794202 lBF = `0.0202224` Chr`4` : `23,850,568`	0.001	0.999	0.000
rs17714883 lBF = `0.260782` Chr`4` : `71,183,979`	0.001	0.999	0.000
rs73252553 lBF = `-0.0276387` Chr`4` : `25,201,318`	0.001	0.999	0.000
rs1495509 lBF = `-0.0734282` Chr`4` : `21,393,616`	0.001	0.999	0.000
rs2664035 lBF = `0.661831` Chr`4` : `48,220,839`	0.001	0.999	0.000
rs11934750 lBF = `-0.0159741` Chr`4` : `27,964,405`	0.001	0.999	0.000
rs1713985 lBF = `-0.043024` Chr`4` : `57,786,450`	0.000	0.999	0.001
rs3774959 lBF = `0.914734` Chr`4` : `103,511,114`	0.001	0.999	0.000
rs10517025 lBF = `-0.0456759` Chr`4` : `42,453,253`	0.001	0.999	0.000
rs11933540 lBF = `6.74509` Chr`4` : `26,120,001`	0.001	0.999	0.000
rs62341097 lBF = `0.00588859` Chr`4` : `174,094,940`	0.001	0.999	0.000
rs11133504 lBF = `-0.0304338` Chr`4` : `58,380,322`	0.001	0.999	0.000
rs7690204 lBF = `-0.104998` Chr`4` : `145,196,206`	0.001	0.999	0.000
rs72689147 lBF = `18.2481` Chr`4` : `156,639,888`	0.000	0.999	0.001
rs1371799 lBF = `-0.0507348` Chr`4` : `74,977,837`	0.001	0.999	0.000
rs734553 lBF = `15.2929` Chr`4` : `9,923,004`	0.001	0.999	0.000
rs6853847 lBF = `0.268948` Chr`4` : `92,917,215`	0.001	0.999	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.001	0.999	0.000
rs10489087 lBF = `0.0353696` Chr`4` : `13,794,416`	0.001	0.999	0.000
rs190797076 lBF = `0.00324361` Chr`4` : `111,511,087`	0.001	0.999	0.000
rs72927357 lBF = `0.0030652` Chr`4` : `101,901,410`	0.000	0.999	0.001
rs17336353 lBF = `5.80747` Chr`4` : `95,516,516`	0.001	0.999	0.000
rs7684253 lBF = `0.112439` Chr`4` : `57,727,311`	0.001	0.999	0.000
rs996004 lBF = `0.00892057` Chr`4` : `45,079,008`	0.001	0.999	0.000
rs7669806 lBF = `0.00025535` Chr`4` : `78,346,377`	0.001	0.999	0.000
rs17218161 lBF = `0.00027201` Chr`4` : `59,213,845`	0.001	0.999	0.000
rs894638 lBF = `-0.0871552` Chr`4` : `16,119,672`	0.001	0.999	0.000
rs1868245 lBF = `0.0014785` Chr`4` : `87,848,739`	0.001	0.999	0.000
rs57750317 lBF = `-0.00167754` Chr`4` : `98,586,976`	0.001	0.999	0.000
rs58864230 lBF = `-0.00167754` Chr`4` : `98,581,994`	0.001	0.999	0.000
rs72892812 lBF = `-0.00167754` Chr`4` : `98,580,736`	0.001	0.999	0.000
rs60804385 lBF = `-0.00167754` Chr`4` : `98,586,550`	0.001	0.999	0.000
rs59172540 lBF = `-0.00167754` Chr`4` : `98,581,630`	0.001	0.999	0.000
rs190999252 lBF = `0.0862508` Chr`4` : `92,847,036`	0.001	0.999	0.000
rs7656730 lBF = `0.0002306` Chr`4` : `40,159,617`	0.001	0.999	0.000
rs1443170 lBF = `0.00019434` Chr`4` : `128,320,908`	0.001	0.999	0.000
rs9997524 lBF = `0.00016238` Chr`4` : `43,052,186`	0.001	0.999	0.000
rs6531565 lBF = `0.00027041` Chr`4` : `37,662,532`	0.000	0.999	0.001
rs117802898 lBF = `0.00025648` Chr`4` : `94,006,769`	0.001	0.999	0.000
rs143324395 lBF = `0.00024182` Chr`4` : `94,013,991`	0.001	0.999	0.000
rs117932668 lBF = `0.00024182` Chr`4` : `94,015,689`	0.001	0.999	0.000
rs76142193 lBF = `-0.00111302` Chr`4` : `98,542,759`	0.001	0.999	0.000
rs72890850 lBF = `-0.00111302` Chr`4` : `98,537,103`	0.001	0.999	0.000
rs59901031 lBF = `-0.00183542` Chr`4` : `98,561,791`	0.001	0.999	0.000
rs72890889 lBF = `-0.00183542` Chr`4` : `98,571,529`	0.001	0.999	0.000
rs56945629 lBF = `-0.00183542` Chr`4` : `98,567,639`	0.001	0.999	0.000
rs59810062 lBF = `-0.00183542` Chr`4` : `98,563,846`	0.001	0.999	0.000
rs59606962 lBF = `-0.00183542` Chr`4` : `98,567,962`	0.001	0.999	0.000
rs59602504 lBF = `-0.00183542` Chr`4` : `98,563,707`	0.001	0.999	0.000
rs7660520 lBF = `-0.0786091` Chr`4` : `183,745,321`	0.000	0.999	0.001
rs12646808 lBF = `0.719727` Chr`4` : `3,249,828`	0.001	0.999	0.000
rs360929 lBF = `0.0415579` Chr`4` : `152,907,700`	0.001	0.999	0.000
rs6833812 lBF = `0.00838303` Chr`4` : `5,110,140`	0.000	0.999	0.001
rs191493117 lBF = `0.00021266` Chr`4` : `147,360,131`	0.001	0.999	0.000
rs72909131 lBF = `0.00013477` Chr`4` : `83,512,841`	0.001	0.999	0.000
rs75764011 lBF = `0.00013191` Chr`4` : `149,574,749`	0.001	0.999	0.000
rs16838131 lBF = `-0.00098846` Chr`4` : `6,058,497`	0.001	0.999	0.000
rs17026847 lBF = `-0.0022154` Chr`4` : `98,550,198`	0.001	0.999	0.000
rs10026364 lBF = `-0.00359658` Chr`4` : `135,522,740`	0.000	0.999	0.001
rs71607999 lBF = `-0.0233214` Chr`4` : `189,191,111`	0.000	0.999	0.001
rs549280 lBF = `-0.0396038` Chr`4` : `74,971,196`	0.001	0.999	0.000
rs186873296 lBF = `0.00017005` Chr`4` : `144,702,474`	0.001	0.999	0.000
rs16850360 lBF = `-0.016802` Chr`4` : `74,872,445`	0.001	0.999	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

0.4437

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3398

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.3178

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9812

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9746

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9704

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9613

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9595

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9421

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9359

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9174

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9153

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9084

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9068

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8969

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8954

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8947

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8936

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8920

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8898

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8843

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8711

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8700

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8608

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8594

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8481

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8474

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8455

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8390

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8307

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8207

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8207

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8206

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8130

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8128

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8081

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8077

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8022

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8007

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7987

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7933

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7844

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7830

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7821

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7744

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7518

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7498

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7483

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7482

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7389

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7372

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7303

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7295

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7289

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7215

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7204

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7204

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7092

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7041

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7037

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6909

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6898

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6885

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6884

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6882

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6860

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6835

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6815

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6797

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6659

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6641

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6638

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6558

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6497

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6478

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6457

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6430

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.6412

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6361

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6327

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6260

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6260

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6246

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6240

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6182

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6147

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5973

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5940

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5922

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5675

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5607

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.5530

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5500

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5367

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5336

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5228

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5129

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5093

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5073

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5054

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4973

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4887

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4861

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4748

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4723

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4721

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4632

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4470

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4467

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4442

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4160

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4146

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4073

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3990

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3981

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3928

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3915

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.3886

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3866

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3818

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3763

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3743

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3711

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3622

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3437

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3300

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3256

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3235

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3086

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3012

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.2885

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2790

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2769

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2758

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2698

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2490

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2482

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.2210

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2083

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2020

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2007

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1764

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1399

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1364

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0848

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0700

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0673

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0670

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0605

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0556

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`)