TreeWAS – [S56.7] Injury of multiple muscles and tendons 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
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.759	0.241	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.754	0.246	0.000
rs12143060 lBF = `7.38686` Chr`1` : `156,740,026`	0.719	0.281	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.681	0.319	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.673	0.327	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.672	0.328	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.668	0.332	0.000
rs77622929 lBF = `6.08434` Chr`11` : `50,634,946`	0.668	0.332	0.000
rs77689730 lBF = `5.04085` Chr`11` : `51,515,912`	0.666	0.334	0.000
rs139659694 lBF = `6.68133` Chr`11` : `51,108,240`	0.662	0.337	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.662	0.338	0.000
rs1603753 lBF = `5.92283` Chr`11` : `51,306,953`	0.660	0.340	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.659	0.341	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.658	0.342	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.653	0.346	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.653	0.347	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.647	0.353	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.646	0.354	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.635	0.365	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.628	0.372	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.627	0.372	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.626	0.374	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.618	0.382	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.615	0.385	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.615	0.385	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.611	0.388	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.610	0.389	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.608	0.392	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.605	0.395	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.604	0.396	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.599	0.400	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.599	0.401	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.599	0.401	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.599	0.401	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.599	0.401	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.599	0.401	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.595	0.405	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.595	0.405	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.594	0.406	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.594	0.406	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.593	0.407	0.000
rs12222221 lBF = `8.0928` Chr`11` : `49,488,707`	0.592	0.407	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.592	0.408	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.592	0.408	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.591	0.409	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.591	0.409	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.591	0.409	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.589	0.411	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.589	0.411	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.589	0.411	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.589	0.411	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.588	0.412	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.587	0.413	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.586	0.414	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.583	0.417	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.583	0.417	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.582	0.417	0.000
rs17190927 lBF = `0.65024` Chr`20` : `13,123,733`	0.582	0.418	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.581	0.418	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.579	0.420	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.578	0.422	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.578	0.422	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.578	0.422	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.578	0.422	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.575	0.425	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.574	0.426	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.574	0.426	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.573	0.427	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.573	0.427	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.573	0.427	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.572	0.427	0.000
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.570	0.429	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.570	0.430	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.570	0.430	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.569	0.431	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.568	0.431	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.568	0.432	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.567	0.433	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.565	0.435	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.563	0.436	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.563	0.437	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.562	0.438	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.562	0.438	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.561	0.439	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.559	0.441	0.000
rs9874556 lBF = `2.79079` Chr`3` : `3,356,174`	0.558	0.442	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.558	0.442	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.558	0.442	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.557	0.443	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.557	0.443	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.557	0.443	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.556	0.444	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.556	0.444	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.556	0.444	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.555	0.445	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.554	0.446	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.554	0.446	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.553	0.447	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.552	0.448	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.552	0.448	0.000
rs2893857 lBF = `5.42702` Chr`6` : `26,474,061`	0.552	0.448	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.551	0.449	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.551	0.449	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.550	0.450	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.550	0.450	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.549	0.451	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.549	0.451	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.549	0.451	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.548	0.451	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.548	0.452	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.548	0.452	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.548	0.452	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.548	0.452	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.546	0.454	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.546	0.454	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.544	0.456	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.544	0.456	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.544	0.456	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.544	0.456	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.543	0.456	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.543	0.457	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.543	0.457	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.542	0.458	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.541	0.458	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.541	0.459	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.540	0.460	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.540	0.460	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.538	0.462	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.538	0.462	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.536	0.464	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.536	0.464	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.536	0.464	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.536	0.464	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.536	0.464	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.535	0.464	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.535	0.465	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.534	0.465	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.534	0.466	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.534	0.466	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.534	0.466	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.533	0.467	0.000
rs11580861 lBF = `2.70782` Chr`1` : `194,995,131`	0.531	0.469	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.531	0.469	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.531	0.469	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.531	0.469	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.531	0.469	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.530	0.469	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.530	0.470	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.530	0.470	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.530	0.470	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.530	0.470	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.530	0.470	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.529	0.471	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.529	0.471	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.529	0.471	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.528	0.471	0.000
rs35221806 lBF = `7.30552` Chr`7` : `7,350,418`	0.528	0.471	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.528	0.472	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.528	0.472	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.527	0.473	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.527	0.473	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.526	0.474	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.526	0.474	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.526	0.474	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.526	0.474	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.526	0.474	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.525	0.475	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.525	0.475	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.525	0.475	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.525	0.475	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.525	0.475	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.525	0.475	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.524	0.475	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.524	0.476	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.524	0.476	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.523	0.477	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.523	0.477	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.523	0.477	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.523	0.477	0.000
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.522	0.477	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.522	0.478	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.522	0.478	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.522	0.478	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.522	0.478	0.000
rs2229092 lBF = `13.1652` Chr`6` : `31,540,757`	0.521	0.479	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.521	0.479	0.000
rs78889204 lBF = `11.4029` Chr`3` : `36,863,059`	0.521	0.479	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.520	0.479	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.520	0.479	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.520	0.480	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.519	0.481	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.519	0.481	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.518	0.482	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.518	0.482	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.518	0.482	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.518	0.482	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.518	0.482	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.517	0.482	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.517	0.483	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.517	0.483	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.516	0.483	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.515	0.485	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.514	0.486	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.514	0.486	0.000
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rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.486	0.514	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.486	0.514	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.486	0.514	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.485	0.515	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.485	0.515	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.485	0.515	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.485	0.515	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.485	0.515	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.484	0.515	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.484	0.515	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.484	0.516	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.484	0.516	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.484	0.516	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.484	0.516	0.000
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.484	0.516	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.484	0.516	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.484	0.516	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.483	0.516	0.000
rs72704117 lBF = `12.9605` Chr`1` : `155,175,089`	0.483	0.516	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.483	0.517	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.483	0.517	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.483	0.517	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.483	0.517	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.483	0.517	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.482	0.518	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.482	0.518	0.000
rs9267822 lBF = `25.4656` Chr`6` : `32,170,407`	0.482	0.518	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.482	0.518	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.482	0.518	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.482	0.518	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.482	0.518	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.482	0.518	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.482	0.518	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.482	0.518	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.481	0.518	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.481	0.518	0.000
rs71561142 lBF = `5.69059` Chr`6` : `8,859,635`	0.481	0.519	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.481	0.519	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.481	0.519	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.481	0.519	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.481	0.519	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.481	0.519	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.481	0.519	0.000
rs9491696 lBF = `9.01264` Chr`6` : `127,452,639`	0.000	0.519	0.480
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.480	0.520	0.000
rs2745353 lBF = `6.81799` Chr`6` : `127,452,935`	0.480	0.520	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.480	0.520	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.480	0.520	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.479	0.520	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.479	0.520	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.479	0.520	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.479	0.521	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.479	0.521	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.479	0.521	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.479	0.521	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.479	0.521	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.479	0.521	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.478	0.521	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.478	0.521	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.478	0.521	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.478	0.521	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.478	0.522	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.478	0.522	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.478	0.522	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.478	0.522	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.478	0.522	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.478	0.522	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.478	0.522	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.478	0.522	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.478	0.522	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.478	0.522	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.478	0.522	0.000
rs3117761 lBF = `17.5062` Chr`1` : `177,722,715`	0.477	0.522	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.477	0.522	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.477	0.522	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.477	0.522	0.000
rs57740770 lBF = `14.7225` Chr`6` : `32,067,435`	0.477	0.523	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.477	0.523	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.477	0.523	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.477	0.523	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.477	0.523	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.477	0.523	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.477	0.523	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.477	0.523	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.477	0.523	0.000
rs16877106 lBF = `2.21521` Chr`4` : `25,403,266`	0.477	0.523	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.477	0.523	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.476	0.524	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.476	0.524	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.476	0.524	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.476	0.524	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.476	0.524	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.475	0.524	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.475	0.524	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

0.1171

Cluster X0312

log Bayes Factor = 35.9944

contains 2 variants

0.0641

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9329

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8495

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8282

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8228

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8188

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8054

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7945

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7932

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7740

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7476

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7168

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7157

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7141

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7138

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7122

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7118

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7102

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7098

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7092

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7062

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7037

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6977

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6973

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6956

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6952

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6950

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.6943

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6922

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6907

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6872

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6860

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6856

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6818

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6784

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6667

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6653

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6638

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6630

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6621

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6611

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6595

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6585

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6553

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6549

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6539

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6491

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6459

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6424

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6414

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6408

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6393

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6380

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6376

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6374

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6354

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6273

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6248

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6231

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6131

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6126

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6076

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6053

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6037

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6024

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6018

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5953

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5931

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5928

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5892

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5871

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5839

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5834

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5807

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5785

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5772

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5747

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5728

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5725

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5719

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5693

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5684

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5661

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5651

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5651

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5640

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5637

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5603

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5600

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5600

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5597

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5589

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5583

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5565

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5556

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5545

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5543

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5504

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5494

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5468

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5455

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5445

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5421

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5370

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5337

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5332

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5308

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5288

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5282

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5273

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5261

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5195

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5187

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5140

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5140

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5138

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 X0161

log Bayes Factor = 609.219

contains 20 variants

0.5129

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5129

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 X0049

log Bayes Factor = 597.061

contains 18 variants

0.5121

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 X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5114

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5111

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5111

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5110

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5110

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5101

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 X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5089

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5085

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5074

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5048

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5048

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5036

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5023

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 X0110

log Bayes Factor = 721.325

contains 13 variants

0.5005

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4992

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4978

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 X0058

log Bayes Factor = 183.199

contains 8 variants

0.4936

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4933

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4920

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4919

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4898

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4895

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4816

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4779

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4761

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4751

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4714

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4710

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4703

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4692

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4686

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4679

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4665

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 X0145

log Bayes Factor = 274.587

contains 11 variants

0.4613

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4557

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4465

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.4412

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 X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4315

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4293

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4285

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4273

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4223

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 X0154

log Bayes Factor = 282.084

contains 12 variants

0.4135

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4109

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4075

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3970

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3947

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3938

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 X0194

log Bayes Factor = 189.9

contains 5 variants

0.3742

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 X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3499

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3341

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3260

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3249

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 X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3054

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3053

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 X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2533

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.2359

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2102

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2037

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1896

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1571

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1426

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0716

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.0706

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0632

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0583

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0504

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`)