TreeWAS – [I30.1] Infective pericarditis

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
rs6843082 lBF = `86.0876` Chr`4` : `111,718,067`	0.796	0.204	0.000
rs75021220 lBF = `47.1082` Chr`4` : `111,658,394`	0.761	0.239	0.000
rs2634074 lBF = `82.5116` Chr`4` : `111,677,041`	0.000	0.241	0.759
rs74048198 lBF = `5.94724` Chr`11` : `2,118,282`	0.755	0.245	0.000
rs17042081 lBF = `59.9223` Chr`4` : `111,653,211`	0.755	0.245	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.754	0.246	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.750	0.250	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.749	0.251	0.000
rs6817105 lBF = `64.6903` Chr`4` : `111,705,768`	0.748	0.252	0.000
rs2200733 lBF = `66.0925` Chr`4` : `111,710,169`	0.739	0.261	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.727	0.273	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.725	0.275	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.724	0.276	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.709	0.291	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.706	0.294	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.703	0.297	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.695	0.305	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.676	0.324	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.668	0.332	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.666	0.334	0.000
rs13185878 lBF = `9.20221` Chr`5` : `127,962,298`	0.659	0.341	0.000
rs2845885 lBF = `4.30722` Chr`11` : `63,869,062`	0.000	0.342	0.658
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.652	0.347	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.652	0.348	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.649	0.351	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.644	0.356	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.642	0.358	0.000
rs2290419 lBF = `14.6579` Chr`11` : `68,919,649`	0.642	0.358	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.642	0.358	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.640	0.360	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.640	0.360	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.638	0.362	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.637	0.363	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.637	0.363	0.000
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.634	0.366	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.633	0.367	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	0.369	0.631
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.629	0.370	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.629	0.370	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.628	0.372	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.627	0.373	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.627	0.373	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.626	0.374	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.625	0.375	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.624	0.376	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.623	0.377	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.623	0.377	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.622	0.377	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.620	0.380	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.620	0.380	0.000
rs17615906 lBF = `13.0692` Chr`5` : `128,018,413`	0.620	0.380	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.619	0.381	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.617	0.382	0.000
rs17072322 lBF = `5.23479` Chr`4` : `182,742,909`	0.616	0.384	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.615	0.385	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.615	0.385	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.614	0.386	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.613	0.387	0.000
rs62445717 lBF = `5.47231` Chr`7` : `52,371,416`	0.612	0.388	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.611	0.389	0.000
rs6900627 lBF = `6.58124` Chr`6` : `22,570,245`	0.611	0.389	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.393	0.606
rs115384415 lBF = `15.8504` Chr`1` : `95,333,551`	0.606	0.393	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.606	0.394	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	0.395	0.605
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.603	0.397	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.603	0.397	0.000
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.601	0.399	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.600	0.400	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.600	0.400	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.600	0.400	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.599	0.401	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.599	0.401	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.598	0.401	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.598	0.402	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.598	0.402	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.597	0.403	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.596	0.403	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.596	0.404	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.595	0.405	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.594	0.405	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.594	0.406	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.593	0.406	0.000
rs11231693 lBF = `2.11871` Chr`11` : `63,862,612`	0.593	0.407	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.593	0.407	0.000
rs35835288 lBF = `5.23314` Chr`1` : `222,982,059`	0.592	0.408	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.592	0.408	0.000
rs12214416 lBF = `11.1563` Chr`6` : `160,910,517`	0.000	0.410	0.590
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.590	0.410	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.590	0.410	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.590	0.410	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.590	0.410	0.000
rs236720 lBF = `14.4396` Chr`20` : `57,702,611`	0.590	0.410	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.589	0.411	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.588	0.411	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.588	0.412	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.588	0.412	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.587	0.413	0.000
rs17750460 lBF = `8.95898` Chr`21` : `30,745,615`	0.587	0.413	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.586	0.414	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.586	0.414	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.585	0.414	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.585	0.414	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.584	0.416	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.584	0.416	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.584	0.416	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.584	0.416	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.584	0.416	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.583	0.416	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.583	0.417	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.582	0.417	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.582	0.418	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.582	0.418	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.582	0.418	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.418	0.582
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.581	0.419	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.581	0.419	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.581	0.419	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.580	0.420	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.579	0.421	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.578	0.421	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.578	0.422	0.000
rs79616469 lBF = `11.2572` Chr`2` : `48,875,108`	0.577	0.423	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.577	0.423	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.575	0.424	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.575	0.425	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.575	0.425	0.000
rs3130279 lBF = `158.281` Chr`6` : `32,112,626`	0.000	0.425	0.575
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.574	0.425	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.574	0.426	0.000
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	0.574	0.426	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.574	0.426	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.574	0.426	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.573	0.427	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.573	0.427	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.573	0.427	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.573	0.427	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.573	0.427	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.572	0.428	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.572	0.428	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.571	0.429	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.570	0.430	0.000
rs116152102 lBF = `12.5496` Chr`1` : `72,896,151`	0.570	0.430	0.000
rs2780226 lBF = `5.10037` Chr`6` : `34,199,092`	0.570	0.430	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.570	0.430	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.570	0.430	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.569	0.431	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.569	0.431	0.000
rs483465 lBF = `19.2338` Chr`3` : `136,047,977`	0.569	0.431	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.569	0.431	0.000
rs6698528 lBF = `13.1015` Chr`1` : `193,503,444`	0.568	0.432	0.000
rs62242686 lBF = `11.9408` Chr`3` : `38,349,391`	0.567	0.432	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.567	0.433	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.567	0.433	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.567	0.433	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.566	0.433	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.566	0.434	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.566	0.434	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.566	0.434	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.566	0.434	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.566	0.434	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.566	0.434	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.566	0.434	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.565	0.435	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.565	0.435	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.565	0.435	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.565	0.435	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.564	0.435	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.564	0.436	0.000
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.564	0.436	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.564	0.436	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.564	0.436	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.564	0.436	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.564	0.436	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.564	0.436	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.563	0.436	0.000
rs17744121 lBF = `5.69352` Chr`21` : `30,713,598`	0.563	0.436	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.563	0.437	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.563	0.437	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.562	0.438	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.562	0.438	0.000
rs3117181 lBF = `157.029` Chr`6` : `32,071,017`	0.562	0.438	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.562	0.438	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.561	0.439	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.560	0.440	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.560	0.440	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.440	0.560
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.560	0.440	0.000
rs9471075 lBF = `4.59465` Chr`6` : `39,307,032`	0.560	0.440	0.000
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.560	0.440	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.559	0.440	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.559	0.441	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.559	0.441	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.559	0.441	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.559	0.441	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.559	0.441	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.558	0.442	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.558	0.442	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.442	0.558
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.558	0.442	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.557	0.443	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.557	0.443	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.557	0.443	0.000
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rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.529	0.471	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.529	0.471	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.529	0.471	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.529	0.471	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.529	0.471	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.528	0.471	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.528	0.471	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.528	0.471	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.528	0.471	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.528	0.472	0.000
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.528	0.472	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.528	0.472	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.528	0.472	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.528	0.472	0.000
rs72677908 lBF = `12.809` Chr`1` : `62,462,325`	0.527	0.472	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.527	0.472	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.527	0.473	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.527	0.473	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.527	0.473	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.527	0.473	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.527	0.473	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.527	0.473	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.527	0.473	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.526	0.473	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.526	0.474	0.000
rs11557308 lBF = `22.8654` Chr`6` : `31,431,403`	0.526	0.474	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.526	0.474	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.526	0.474	0.000
rs116989098 lBF = `17.9744` Chr`6` : `161,777,500`	0.526	0.474	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.526	0.474	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.526	0.474	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.526	0.474	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.526	0.474	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.526	0.474	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.526	0.474	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.525	0.474	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.525	0.474	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.525	0.474	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.525	0.475	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.525	0.475	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.525	0.475	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.525	0.475	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.525	0.475	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.525	0.475	0.000
rs3798305 lBF = `1.4473` Chr`6` : `167,363,473`	0.525	0.475	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.525	0.475	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.525	0.475	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.525	0.475	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.525	0.475	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.525	0.475	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.524	0.476	0.000
rs9501239 lBF = `16.8023` Chr`6` : `32,895,580`	0.524	0.476	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.524	0.476	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.524	0.476	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.524	0.476	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.523	0.476	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.523	0.477	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.523	0.477	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.523	0.477	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.523	0.477	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.523	0.477	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.523	0.477	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.523	0.477	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.523	0.477	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.523	0.477	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.523	0.477	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.523	0.477	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.522	0.477	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.522	0.477	0.000
rs1169314 lBF = `9.37742` Chr`12` : `121,443,116`	0.522	0.477	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.522	0.478	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.522	0.478	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.522	0.478	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.522	0.478	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.521	0.478	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.521	0.479	0.000
rs10514718 lBF = `1.82647` Chr`3` : `61,413,814`	0.521	0.479	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.521	0.479	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.521	0.479	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.521	0.479	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.521	0.479	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.521	0.479	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.521	0.479	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.520	0.479	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.520	0.480	0.000
rs368331 lBF = `1.10684` Chr`7` : `21,742,974`	0.520	0.480	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.520	0.480	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.520	0.480	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.520	0.480	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.519	0.480	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.519	0.480	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.519	0.480	0.000
rs3134603 lBF = `147.34` Chr`6` : `32,126,002`	0.000	0.481	0.519
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.519	0.481	0.000
rs3130342 lBF = `152.971` Chr`6` : `32,080,146`	0.000	0.481	0.519

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

0.4330

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3376

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.1437

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.0708

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9503

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9334

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9219

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9027

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8643

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8516

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8489

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8472

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8097

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7999

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7985

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.7960

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7859

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7823

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7782

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7751

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7682

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7441

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7423

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7274

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7216

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7181

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7159

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7144

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7090

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7047

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.7030

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7002

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6927

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6901

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6877

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6815

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6779

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6732

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6724

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6720

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6718

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6692

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6686

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6630

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6588

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6534

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6524

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6474

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6439

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6420

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6420

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6420

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6388

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6388

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6387

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6368

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6364

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6343

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6337

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6329

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6318

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6306

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.6294

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6260

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6206

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6189

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6124

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6118

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6072

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6043

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6040

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6037

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6002

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5933

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5932

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5913

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5874

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5868

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5868

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5867

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5858

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5848

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5832

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5809

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5789

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5774

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5771

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5766

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5706

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5699

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5678

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5608

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5599

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5575

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5559

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5474

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5391

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5363

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5335

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5290

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5272

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5241

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5235

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5201

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5177

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5135

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5112

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5104

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5026

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5016

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5011

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4997

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4976

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4966

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4929

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4881

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4833

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4832

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4810

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4788

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4734

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4725

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4695

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4634

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4570

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4565

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4557

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4543

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4419

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4373

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4313

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4298

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4226

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4189

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4115

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4024

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3725

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3614

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3563

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3487

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3439

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3342

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3145

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3145

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2833

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2784

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2679

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2676

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.1941

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1871

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1322

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1164

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1128

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0614

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0609

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`)