TreeWAS – [D26.9] Uterus, 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
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.794	0.206	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.783	0.217	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.783	0.217	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.773	0.227	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.770	0.230	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.751	0.249	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.703	0.297	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.696	0.304	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.695	0.305	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.686	0.314	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.680	0.320	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.675	0.325	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.674	0.326	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.668	0.332	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.666	0.334	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.664	0.336	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.656	0.344	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.651	0.349	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.649	0.351	0.000
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.353	0.647
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.000	0.354	0.646
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.641	0.359	0.000
rs116485796 lBF = `8.88422` Chr`3` : `133,612,103`	0.636	0.364	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.634	0.366	0.000
rs4754317 lBF = `11.7391` Chr`11` : `108,359,161`	0.000	0.368	0.632
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.629	0.371	0.000
rs10069690 lBF = `39.1405` Chr`5` : `1,279,790`	0.626	0.374	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.626	0.374	0.000
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	0.625	0.375	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.624	0.376	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.624	0.376	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.623	0.377	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.620	0.380	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.617	0.383	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.615	0.385	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.610	0.390	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.610	0.390	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.610	0.390	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.609	0.391	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.608	0.392	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.606	0.394	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.604	0.396	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.604	0.396	0.000
rs11191865 lBF = `1.95702` Chr`10` : `105,672,842`	0.000	0.397	0.603
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	0.398	0.602
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.600	0.399	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.598	0.402	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.598	0.402	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.596	0.404	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.595	0.405	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.594	0.406	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.592	0.408	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.589	0.411	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.589	0.411	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.589	0.411	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.587	0.412	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.586	0.414	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.584	0.416	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.583	0.417	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.583	0.417	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.582	0.418	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.581	0.419	0.000
rs7726354 lBF = `16.6785` Chr`5` : `56,256,483`	0.580	0.420	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.580	0.420	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.579	0.421	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.578	0.422	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.578	0.422	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.577	0.423	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.576	0.423	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.576	0.424	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.576	0.424	0.000
rs1801516 lBF = `11.9523` Chr`11` : `108,175,462`	0.000	0.424	0.576
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.575	0.424	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.575	0.425	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.574	0.425	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.574	0.426	0.000
rs78686102 lBF = `9.9163` Chr`5` : `56,152,795`	0.574	0.426	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.573	0.426	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.572	0.427	0.000
rs17156153 lBF = `22.256` Chr`11` : `270,514`	0.000	0.429	0.571
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.571	0.429	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.570	0.430	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.569	0.431	0.000
rs76485124 lBF = `10.1523` Chr`5` : `56,060,400`	0.569	0.431	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.568	0.432	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.568	0.432	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.567	0.433	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.565	0.435	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.564	0.435	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.563	0.436	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.563	0.437	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.562	0.438	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.562	0.438	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.561	0.438	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.561	0.439	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.561	0.439	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.560	0.439	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.559	0.441	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.559	0.441	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.558	0.442	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.558	0.442	0.000
rs2229882 lBF = `21.8948` Chr`5` : `56,168,712`	0.558	0.442	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.557	0.443	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.556	0.444	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.556	0.444	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.555	0.445	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.554	0.445	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.554	0.446	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.554	0.446	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.554	0.446	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.554	0.446	0.000
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.554	0.446	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.554	0.446	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.553	0.447	0.000
rs1887284 lBF = `14.8007` Chr`1` : `1,487,059`	0.553	0.447	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.551	0.448	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.551	0.449	0.000
rs7545047 lBF = `5.30446` Chr`1` : `162,191,103`	0.551	0.449	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.549	0.451	0.000
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.549	0.451	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.548	0.452	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.547	0.452	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.548	0.452	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.547	0.453	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.546	0.454	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.546	0.454	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.546	0.454	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.545	0.454	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.544	0.456	0.000
rs9267822 lBF = `25.4656` Chr`6` : `32,170,407`	0.544	0.456	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.543	0.456	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.544	0.456	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.543	0.457	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.543	0.457	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.542	0.457	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.542	0.457	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.541	0.458	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.541	0.458	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.541	0.459	0.000
rs3822625 lBF = `12.3692` Chr`5` : `56,178,111`	0.540	0.460	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.539	0.460	0.000
rs16886448 lBF = `12.3207` Chr`5` : `56,170,813`	0.539	0.461	0.000
rs1017226 lBF = `12.4091` Chr`5` : `56,153,392`	0.538	0.462	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.538	0.462	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.538	0.462	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.536	0.464	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.536	0.464	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.535	0.464	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.535	0.465	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.535	0.465	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.535	0.465	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.535	0.465	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.534	0.466	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.533	0.466	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.533	0.466	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.533	0.466	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.533	0.467	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.532	0.467	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.532	0.467	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.532	0.468	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.532	0.468	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.532	0.468	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.532	0.468	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.532	0.468	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.531	0.468	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.531	0.469	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.531	0.469	0.000
rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.530	0.469	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.530	0.470	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.529	0.471	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.529	0.471	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.528	0.471	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.528	0.472	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.527	0.472	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.527	0.473	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.527	0.473	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.526	0.473	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.526	0.474	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.526	0.474	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.526	0.474	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.526	0.474	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.526	0.474	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.525	0.474	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.525	0.475	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.525	0.475	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.525	0.475	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.524	0.475	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.524	0.476	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.522	0.478	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.522	0.478	0.000
rs16886397 lBF = `12.2035` Chr`5` : `56,134,276`	0.522	0.478	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.521	0.478	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.521	0.478	0.000
rs205000 lBF = `21.2147` Chr`6` : `32,135,878`	0.521	0.479	0.000
rs72878024 lBF = `21.0711` Chr`11` : `199,492`	0.000	0.479	0.521
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.520	0.480	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.520	0.480	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.520	0.480	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.519	0.481	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.519	0.481	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.518	0.482	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.518	0.482	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.518	0.482	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.518	0.482	0.000
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rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.495	0.505	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.494	0.506	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.494	0.506	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.494	0.506	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.494	0.506	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.494	0.506	0.000
rs191448950 lBF = `12.8335` Chr`1` : `55,584,844`	0.493	0.506	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.493	0.506	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.493	0.507	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.493	0.507	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.493	0.507	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.493	0.507	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.493	0.507	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.493	0.507	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.492	0.508	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.492	0.508	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.492	0.508	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.492	0.508	0.000
rs116065238 lBF = `1.13019` Chr`1` : `171,451,422`	0.492	0.508	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.492	0.508	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.492	0.508	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.492	0.508	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.491	0.508	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.491	0.508	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.491	0.509	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.491	0.509	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.491	0.509	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.491	0.509	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.491	0.509	0.000
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.490	0.509	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.491	0.509	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.490	0.509	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.490	0.510	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.490	0.510	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.489	0.510	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.489	0.510	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.489	0.511	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.489	0.511	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.489	0.511	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.489	0.511	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.489	0.511	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.488	0.511	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.488	0.511	0.000
rs2555469 lBF = `76.5082` Chr`6` : `32,179,494`	0.488	0.512	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.487	0.512	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.487	0.513	0.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	0.486	0.514	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.486	0.514	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.485	0.514	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.485	0.514	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.485	0.514	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.485	0.515	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.485	0.515	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.485	0.515	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.485	0.515	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.484	0.515	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.484	0.516	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.484	0.516	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.483	0.517	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.483	0.517	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.483	0.517	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.482	0.518	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.482	0.518	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.482	0.518	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.481	0.518	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.481	0.519	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.481	0.519	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.480	0.520	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.480	0.520	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.480	0.520	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.480	0.520	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.479	0.521	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.479	0.521	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.479	0.521	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.479	0.521	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.478	0.521	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.478	0.522	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.478	0.522	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.478	0.522	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.478	0.522	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.477	0.522	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.477	0.523	0.000
rs76570619 lBF = `1.1837` Chr`1` : `113,246,730`	0.477	0.523	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.477	0.523	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.476	0.523	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.476	0.524	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.475	0.524	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.475	0.525	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.475	0.525	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.475	0.525	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.475	0.525	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.475	0.525	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.474	0.525	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.474	0.526	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.1837

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1338

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9324

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9319

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9114

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9031

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8958

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8901

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8855

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8672

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8669

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8666

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8646

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8547

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8511

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8434

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8425

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8165

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8149

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8062

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8035

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8011

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7935

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7871

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7868

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7859

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7793

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7774

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7769

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7713

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7702

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7691

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7664

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7620

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7612

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7599

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7588

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7578

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7572

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7489

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7384

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7383

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7364

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7349

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7227

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7204

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7171

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7126

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7124

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7085

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6927

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6912

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6829

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6779

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6773

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6749

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6748

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6714

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6713

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6668

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6657

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6613

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6598

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6560

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6544

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6533

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6475

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6451

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6414

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6408

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6393

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6347

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6338

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6233

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6165

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6121

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6114

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6097

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6059

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6051

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6031

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6026

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5987

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5965

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5936

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5916

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5895

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5866

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5772

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5588

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5571

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5548

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5526

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5423

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5381

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5335

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5278

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.5277

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5266

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5227

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5191

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5133

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4929

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4694

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4632

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4381

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4211

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4186

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4181

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4150

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3995

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3770

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3722

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3648

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3636

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3566

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3204

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3159

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2956

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2951

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2903

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2650

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2640

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2638

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2566

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2423

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2226

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2223

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2167

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2133

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2130

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2039

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2007

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1986

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1546

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1351

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1318

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1285

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1258

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1135

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1021

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0986

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0867

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0808

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0759

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0756

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0742

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0658

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0625

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0549

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0545

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0516

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`)