TreeWAS – [S52.71] Multiple fractures of forearm (open)

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
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.597	0.402	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.565	0.435	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.563	0.436	0.000
rs2908004 lBF = `5.95575` Chr`7` : `120,969,769`	0.000	0.442	0.558
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.557	0.443	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.553	0.447	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.551	0.449	0.000
rs2707466 lBF = `6.3523` Chr`7` : `120,979,089`	0.000	0.451	0.549
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.547	0.453	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.547	0.453	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.545	0.455	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.540	0.460	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.538	0.462	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.537	0.463	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.534	0.466	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.532	0.468	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.531	0.469	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.531	0.469	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.531	0.469	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.530	0.470	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.530	0.470	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.528	0.472	0.000
rs7776725 lBF = `14.8756` Chr`7` : `121,033,121`	0.000	0.472	0.528
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.527	0.472	0.000
rs3801387 lBF = `18.8319` Chr`7` : `120,974,765`	0.000	0.475	0.525
rs10242100 lBF = `18.8068` Chr`7` : `120,983,343`	0.000	0.475	0.525
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.524	0.476	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.522	0.477	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.522	0.478	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.522	0.478	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.521	0.479	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.521	0.479	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.519	0.481	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.519	0.481	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.518	0.482	0.000
rs917727 lBF = `18.2921` Chr`7` : `121,018,579`	0.000	0.484	0.516
rs56364616 lBF = `18.2523` Chr`7` : `121,017,474`	0.000	0.485	0.515
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.514	0.485	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.514	0.486	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.514	0.486	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.513	0.487	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.512	0.488	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.512	0.488	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.511	0.488	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.511	0.489	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.511	0.489	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.511	0.489	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.510	0.490	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.510	0.490	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.510	0.490	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.509	0.490	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.509	0.490	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.509	0.491	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.508	0.492	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.508	0.492	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.507	0.492	0.000
rs11580861 lBF = `2.70782` Chr`1` : `194,995,131`	0.507	0.493	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.507	0.493	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.507	0.493	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.504	0.496	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.504	0.496	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.503	0.497	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.503	0.497	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.503	0.497	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.502	0.497	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.502	0.498	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.502	0.498	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.501	0.498	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.501	0.498	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.501	0.498	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.501	0.499	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.501	0.499	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.501	0.499	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.500	0.499	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.499	0.501	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.499	0.501	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.497	0.502	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.496	0.503	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.496	0.504	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.496	0.504	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.496	0.504	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.495	0.504	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.495	0.504	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.495	0.504	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.495	0.505	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.495	0.505	0.000
rs1547959 lBF = `14.9559` Chr`7` : `120,945,328`	0.000	0.505	0.494
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.494	0.505	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.494	0.506	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.494	0.506	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.493	0.506	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.493	0.507	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.493	0.507	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.492	0.508	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.492	0.508	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.491	0.508	0.000
rs62392365 lBF = `46.9408` Chr`6` : `25,371,369`	0.491	0.508	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.491	0.509	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.489	0.511	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.488	0.512	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.487	0.512	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.487	0.513	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.487	0.513	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.487	0.513	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.486	0.513	0.000
rs11557308 lBF = `22.8654` Chr`6` : `31,431,403`	0.486	0.513	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.485	0.515	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.484	0.515	0.000
rs77803816 lBF = `19.635` Chr`6` : `31,431,063`	0.484	0.516	0.000
rs2745353 lBF = `6.81799` Chr`6` : `127,452,935`	0.483	0.517	0.000
rs1936801 lBF = `8.69095` Chr`6` : `127,436,313`	0.483	0.517	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.482	0.517	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.482	0.518	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.482	0.518	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.481	0.518	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.481	0.518	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.480	0.519	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.480	0.520	0.000
rs4977754 lBF = `7.24733` Chr`9` : `22,062,012`	0.479	0.521	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.478	0.521	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.478	0.521	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.478	0.522	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.478	0.522	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.478	0.522	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.476	0.524	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.524	0.476
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.476	0.524	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.476	0.524	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.475	0.525	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.475	0.525	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.475	0.525	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.475	0.525	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.474	0.526	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.473	0.527	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.472	0.528	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.471	0.529	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.471	0.529	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.471	0.529	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.471	0.529	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.470	0.529	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.470	0.530	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.470	0.530	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.470	0.530	0.000
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.470	0.530	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.469	0.530	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.469	0.531	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.469	0.531	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.469	0.531	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.469	0.531	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.468	0.531	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.468	0.532	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.468	0.532	0.000
rs4792909 lBF = `0.822937` Chr`17` : `41,798,824`	0.000	0.532	0.468
rs114925849 lBF = `15.4352` Chr`5` : `108,554,590`	0.468	0.532	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.468	0.532	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.467	0.532	0.000
rs9267796 lBF = `16.2604` Chr`6` : `32,023,425`	0.467	0.532	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.467	0.533	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.467	0.533	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.467	0.533	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.466	0.533	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.466	0.533	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.466	0.533	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.465	0.535	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.465	0.535	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.464	0.535	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.464	0.536	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.464	0.536	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.463	0.536	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.463	0.536	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.463	0.536	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.463	0.537	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.463	0.537	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.462	0.538	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.462	0.538	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.462	0.538	0.000
rs78889204 lBF = `11.4029` Chr`3` : `36,863,059`	0.462	0.538	0.000
rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.461	0.539	0.000
rs72704117 lBF = `12.9605` Chr`1` : `155,175,089`	0.461	0.539	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.460	0.539	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.460	0.540	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.460	0.540	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.460	0.540	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.460	0.540	0.000
rs205000 lBF = `21.2147` Chr`6` : `32,135,878`	0.459	0.540	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.459	0.541	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.458	0.542	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.458	0.542	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.458	0.542	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.458	0.542	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.457	0.542	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.457	0.543	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.456	0.543	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.456	0.544	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.454	0.545	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.454	0.546	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.453	0.547	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.453	0.547	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.452	0.547	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.452	0.548	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.452	0.548	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.452	0.548	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.452	0.548	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.452	0.548	0.000
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rs6799705 lBF = `3.95758` Chr`3` : `35,982,130`	0.401	0.599	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.401	0.599	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.401	0.599	0.000
rs11066313 lBF = `14.8578` Chr`12` : `112,893,414`	0.401	0.599	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.401	0.599	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.400	0.599	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.400	0.599	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.400	0.600	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.400	0.600	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.399	0.601	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.399	0.601	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.399	0.601	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.399	0.601	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.399	0.601	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.398	0.602	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.398	0.602	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.397	0.603	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.397	0.603	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.397	0.603	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.396	0.603	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.396	0.604	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.396	0.604	0.000
rs45531831 lBF = `17.5762` Chr`6` : `31,938,120`	0.396	0.604	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.396	0.604	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.396	0.604	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.395	0.604	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.395	0.605	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.395	0.605	0.000
rs17201763 lBF = `16.7746` Chr`6` : `32,185,246`	0.394	0.605	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.394	0.605	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.394	0.605	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.394	0.606	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.394	0.606	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.394	0.606	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.393	0.606	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.393	0.607	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.393	0.607	0.000
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.393	0.607	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.393	0.607	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.392	0.607	0.000
rs6927354 lBF = `1.01443` Chr`6` : `6,316,313`	0.392	0.607	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.392	0.608	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.392	0.608	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.392	0.608	0.000
rs115860471 lBF = `16.459` Chr`3` : `4,063,676`	0.391	0.608	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.391	0.608	0.000
rs1603753 lBF = `5.92283` Chr`11` : `51,306,953`	0.391	0.609	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.391	0.609	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.391	0.609	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.390	0.609	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.390	0.609	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.390	0.610	0.000
rs7745274 lBF = `5.70603` Chr`6` : `127,509,157`	0.000	0.610	0.389
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.389	0.611	0.000
rs45592033 lBF = `19.2031` Chr`6` : `32,162,559`	0.389	0.611	0.000
rs2503322 lBF = `7.40397` Chr`6` : `127,457,260`	0.000	0.611	0.389
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.389	0.611	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.389	0.611	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.388	0.612	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.388	0.612	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.388	0.612	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.388	0.612	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.387	0.612	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.387	0.612	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.387	0.613	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.387	0.613	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.387	0.613	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.386	0.614	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.386	0.614	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.386	0.614	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.386	0.614	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.386	0.614	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.385	0.615	0.000
rs115445154 lBF = `14.8843` Chr`1` : `81,921,812`	0.385	0.615	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.385	0.615	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.385	0.615	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.384	0.615	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.384	0.615	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.384	0.616	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.384	0.616	0.000
rs10767942 lBF = `5.97094` Chr`11` : `32,522,007`	0.384	0.616	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.384	0.616	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.384	0.616	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.384	0.616	0.000
rs139659694 lBF = `6.68133` Chr`11` : `51,108,240`	0.384	0.616	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.384	0.616	0.000
rs9266515 lBF = `15.1976` Chr`6` : `31,341,340`	0.383	0.617	0.000
rs12562437 lBF = `1.46438` Chr`1` : `3,651,031`	0.382	0.617	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.382	0.617	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.382	0.618	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.382	0.618	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.382	0.618	0.000
rs71561142 lBF = `5.69059` Chr`6` : `8,859,635`	0.382	0.618	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.382	0.618	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.382	0.618	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 X0312

log Bayes Factor = 35.9944

contains 2 variants

0.2411

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0881

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6979

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6855

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6844

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6627

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6584

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6579

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6544

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6496

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6381

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6377

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6332

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6283

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6261

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6252

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6218

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6110

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6072

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6059

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6049

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6004

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5967

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5919

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5862

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5785

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5611

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5493

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5492

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5487

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5449

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5409

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5307

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5297

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.5242

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5237

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5235

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5210

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5207

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5188

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5173

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5157

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5144

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5135

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5099

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5075

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5037

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5017

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4976

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4879

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4828

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4714

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4676

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4670

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4669

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4651

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4643

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4637

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4633

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4630

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4601

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4580

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4541

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4453

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4410

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4378

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4369

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4329

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4298

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4269

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4210

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4182

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4172

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4168

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4147

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4073

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4034

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4006

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3999

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3953

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3947

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3913

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3876

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3868

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3824

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3810

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3806

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3799

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3787

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3706

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3688

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3651

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3635

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3627

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3620

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3600

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3591

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3568

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3539

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3506

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3462

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3461

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3399

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3384

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3351

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3218

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3206

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3161

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3140

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3107

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3064

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3062

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3057

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2989

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2922

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2917

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2869

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2835

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2831

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2822

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2797

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2727

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2726

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2721

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2698

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2694

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2637

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2618

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2534

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2527

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2515

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2505

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2478

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2462

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2403

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2402

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2389

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2379

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2334

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2315

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2310

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2306

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2306

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2301

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2212

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2182

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2157

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2082

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2062

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1996

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1991

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1972

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1951

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1925

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1861

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1830

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1829

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1817

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1813

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1807

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1798

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1780

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1769

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1751

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1738

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1737

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1712

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1707

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1661

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1651

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1601

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1594

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.1592

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1589

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1570

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1564

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1552

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1535

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1513

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1512

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1507

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1495

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1487

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1481

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1419

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1365

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1363

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1359

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1354

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1322

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1283

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1278

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1235

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1233

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1206

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1185

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1163

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1147

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1144

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1103

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1069

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1062

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1040

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1020

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0940

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0771

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0760

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0760

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0746

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0629

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0528

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`)