TreeWAS – [S54.3] Injury of cutaneous sensory nerve at forearm level

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
rs1936801 lBF = `8.69095` Chr`6` : `127,436,313`	0.636	0.364	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.375	0.625
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.622	0.378	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.622	0.378	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.604	0.396	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.602	0.398	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.401	0.599
rs2745353 lBF = `6.81799` Chr`6` : `127,452,935`	0.598	0.402	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.592	0.408	0.000
rs2503322 lBF = `7.40397` Chr`6` : `127,457,260`	0.000	0.409	0.591
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.589	0.411	0.000
rs2893857 lBF = `5.42702` Chr`6` : `26,474,061`	0.587	0.413	0.000
rs7745274 lBF = `5.70603` Chr`6` : `127,509,157`	0.000	0.413	0.587
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.584	0.416	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.583	0.417	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.581	0.418	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.579	0.421	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.574	0.426	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.571	0.429	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.569	0.430	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.569	0.431	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.568	0.432	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.567	0.433	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.567	0.433	0.000
rs77622929 lBF = `6.08434` Chr`11` : `50,634,946`	0.567	0.433	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.567	0.433	0.000
rs2791545 lBF = `12.1553` Chr`1` : `219,662,035`	0.566	0.434	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.566	0.434	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.565	0.434	0.000
rs1603753 lBF = `5.92283` Chr`11` : `51,306,953`	0.565	0.435	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.564	0.435	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.563	0.437	0.000
rs77689730 lBF = `5.04085` Chr`11` : `51,515,912`	0.563	0.437	0.000
rs12222221 lBF = `8.0928` Chr`11` : `49,488,707`	0.563	0.437	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.562	0.437	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.562	0.438	0.000
rs139659694 lBF = `6.68133` Chr`11` : `51,108,240`	0.561	0.438	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.561	0.439	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.561	0.439	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.561	0.439	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.560	0.439	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.560	0.439	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.560	0.440	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.558	0.442	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.558	0.442	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.557	0.443	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.556	0.444	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.556	0.444	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.554	0.445	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.552	0.448	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.550	0.450	0.000
rs9491696 lBF = `9.01264` Chr`6` : `127,452,639`	0.000	0.451	0.549
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.547	0.453	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.544	0.456	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.544	0.456	0.000
rs9267532 lBF = `5.4348` Chr`6` : `31,639,979`	0.543	0.457	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.542	0.458	0.000
rs55706246 lBF = `2.16084` Chr`21` : `35,595,637`	0.542	0.458	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.540	0.460	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.540	0.460	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.540	0.460	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.539	0.461	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.539	0.461	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.539	0.461	0.000
rs62392365 lBF = `46.9408` Chr`6` : `25,371,369`	0.538	0.462	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.538	0.462	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.538	0.462	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.536	0.464	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.535	0.465	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.534	0.466	0.000
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.534	0.466	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.532	0.468	0.000
rs12143060 lBF = `7.38686` Chr`1` : `156,740,026`	0.530	0.469	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.529	0.470	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.529	0.471	0.000
rs35221806 lBF = `7.30552` Chr`7` : `7,350,418`	0.528	0.472	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.526	0.474	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.526	0.474	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.526	0.474	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.526	0.474	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.525	0.475	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.525	0.475	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.525	0.475	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.524	0.476	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.524	0.476	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.523	0.477	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.522	0.478	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.521	0.479	0.000
rs4148876 lBF = `32.3961` Chr`6` : `32,796,793`	0.520	0.480	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.520	0.480	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.519	0.480	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.519	0.480	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.519	0.481	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.518	0.482	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.517	0.483	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.517	0.483	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.514	0.486	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.514	0.486	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.514	0.486	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.513	0.486	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.513	0.487	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.513	0.487	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.513	0.487	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.513	0.487	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.512	0.488	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.512	0.488	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.511	0.488	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.511	0.488	0.000
rs79346880 lBF = `6.46358` Chr`4` : `28,619,720`	0.511	0.489	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.511	0.489	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.511	0.489	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.511	0.489	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.511	0.489	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.511	0.489	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.510	0.489	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.510	0.489	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.510	0.490	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.510	0.490	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.510	0.490	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.509	0.490	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.509	0.491	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.509	0.491	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.509	0.491	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.509	0.491	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.509	0.491	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.508	0.491	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.508	0.491	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.508	0.492	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.508	0.492	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.508	0.492	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.508	0.492	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.507	0.493	0.000
rs11580861 lBF = `2.70782` Chr`1` : `194,995,131`	0.507	0.493	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.507	0.493	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.507	0.493	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.507	0.493	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.507	0.493	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.507	0.493	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.506	0.493	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.506	0.493	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.506	0.494	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.506	0.494	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.506	0.494	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.506	0.494	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.505	0.494	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.505	0.495	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.505	0.495	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.505	0.495	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.505	0.495	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.505	0.495	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.505	0.495	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.504	0.495	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.504	0.495	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.504	0.495	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.504	0.496	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.503	0.497	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.503	0.497	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.503	0.497	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.503	0.497	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.502	0.498	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.502	0.498	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.502	0.498	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.502	0.498	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.502	0.498	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.501	0.498	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.501	0.498	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.501	0.499	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.501	0.499	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.500	0.499	0.000
rs11557308 lBF = `22.8654` Chr`6` : `31,431,403`	0.500	0.499	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.500	0.500	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.500	0.500	0.000
rs115154880 lBF = `8.20092` Chr`5` : `43,883,949`	0.499	0.500	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.499	0.500	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.499	0.500	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.499	0.501	0.000
rs77803816 lBF = `19.635` Chr`6` : `31,431,063`	0.499	0.501	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.499	0.501	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.499	0.501	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.499	0.501	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.499	0.501	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.499	0.501	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.499	0.501	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.499	0.501	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.498	0.501	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.498	0.502	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.498	0.502	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.498	0.502	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.498	0.502	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.498	0.502	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.498	0.502	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.498	0.502	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.498	0.502	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.497	0.503	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.497	0.503	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.497	0.503	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.497	0.503	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.496	0.503	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.496	0.504	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.496	0.504	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.496	0.504	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.496	0.504	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.496	0.504	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.496	0.504	0.000
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rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.471	0.529	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.470	0.529	0.000
rs17190927 lBF = `0.65024` Chr`20` : `13,123,733`	0.471	0.529	0.000
rs9266340 lBF = `17.9247` Chr`6` : `31,331,306`	0.470	0.529	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.470	0.529	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.470	0.530	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.470	0.530	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.470	0.530	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.470	0.530	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.470	0.530	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.470	0.530	0.000
rs17493811 lBF = `20.4967` Chr`6` : `32,145,399`	0.469	0.530	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.469	0.530	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.469	0.531	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.469	0.531	0.000
rs114628044 lBF = `19.8572` Chr`6` : `32,133,639`	0.469	0.531	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.469	0.531	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.469	0.531	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.469	0.531	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.469	0.531	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.468	0.531	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.468	0.531	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.468	0.531	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.468	0.532	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.468	0.532	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.468	0.532	0.000
rs114694170 lBF = `1.13651` Chr`5` : `88,180,196`	0.468	0.532	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.468	0.532	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.468	0.532	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.468	0.532	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.468	0.532	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.468	0.532	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.468	0.532	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.468	0.532	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.468	0.532	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.468	0.532	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.467	0.532	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.467	0.532	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.467	0.532	0.000
rs71632123 lBF = `1.27513` Chr`1` : `181,745,701`	0.467	0.533	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.467	0.533	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.467	0.533	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.467	0.533	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.467	0.533	0.000
rs113934085 lBF = `13.4975` Chr`3` : `151,627,433`	0.467	0.533	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.467	0.533	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.467	0.533	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.467	0.533	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.467	0.533	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.466	0.534	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.466	0.534	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.466	0.534	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.466	0.534	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.466	0.534	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.466	0.534	0.000
rs45451301 lBF = `16.4571` Chr`6` : `31,935,392`	0.466	0.534	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.465	0.534	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.465	0.534	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.465	0.535	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.465	0.535	0.000
rs6799705 lBF = `3.95758` Chr`3` : `35,982,130`	0.465	0.535	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.465	0.535	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.465	0.535	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.465	0.535	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.465	0.535	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.465	0.535	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.465	0.535	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.465	0.535	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.465	0.535	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.465	0.535	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.464	0.535	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.464	0.536	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.464	0.536	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.464	0.536	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.464	0.536	0.000
rs9266417 lBF = `17.1829` Chr`6` : `31,336,994`	0.464	0.536	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.464	0.536	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.464	0.536	0.000
rs2823779 lBF = `1.55455` Chr`21` : `17,768,524`	0.464	0.536	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.464	0.536	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.463	0.536	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.463	0.537	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.463	0.537	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.463	0.537	0.000
rs76174256 lBF = `5.31188` Chr`3` : `156,862,898`	0.463	0.537	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.463	0.537	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.463	0.537	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.462	0.537	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.462	0.538	0.000
rs6903496 lBF = `12.807` Chr`6` : `31,352,774`	0.462	0.538	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.462	0.538	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.462	0.538	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.462	0.538	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.462	0.538	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

0.2156

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1085

Cluster X0312

log Bayes Factor = 35.9944

contains 2 variants

0.0535

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7051

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7037

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7030

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6782

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6699

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6658

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6625

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6494

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6448

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6441

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6369

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.6282

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6246

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6241

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6212

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6188

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.6182

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6133

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6098

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6083

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6041

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5980

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.5950

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.5923

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5883

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5859

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5849

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5842

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5829

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5818

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5796

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5701

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5692

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5671

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5660

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5641

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5640

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5640

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5637

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5634

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5576

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5576

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5570

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5567

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5525

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5489

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.5422

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5400

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5383

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5362

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5234

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5198

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5186

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5145

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5140

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5140

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5140

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5140

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5140

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5140

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5139

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5138

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5138

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5138

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5138

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5138

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5138

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5137

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5137

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5136

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5136

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5132

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5132

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5130

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5129

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5129

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5129

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5128

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5127

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5126

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5125

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5124

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5124

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5123

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5121

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5121

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5118

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5118

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5116

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5115

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5114

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5113

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5112

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5111

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5110

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5098

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5097

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5094

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5092

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5085

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5083

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5078

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5076

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5074

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5074

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5073

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5048

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5046

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5045

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5044

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5037

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5037

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5036

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5029

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5020

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5019

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5010

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5005

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4992

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4988

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4976

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4975

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4974

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4971

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4971

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4962

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4956

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4953

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4936

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4924

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4920

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4913

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4909

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4903

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4903

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4903

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4898

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4886

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4886

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4885

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4878

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4864

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4837

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4794

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4787

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4761

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4755

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4751

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4746

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4727

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4725

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4692

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4688

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4679

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4658

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4631

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4615

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4563

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4557

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4555

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4533

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4510

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4493

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4465

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4437

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4416

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4381

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4338

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4329

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4318

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4306

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4293

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4283

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4273

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4208

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4150

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4144

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4135

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4129

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4109

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3970

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3958

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3879

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3816

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3798

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3742

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3669

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3661

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3638

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3529

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3500

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3437

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3341

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3329

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3191

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3190

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3170

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.3055

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3053

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3033

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2976

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2949

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2837

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2817

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2686

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2576

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.2571

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2490

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2324

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.2227

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1831

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1644

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0703

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0662

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0531

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`)