TreeWAS – [S56.20] Unspecified injury of other flexor muscle, fascia and tendon 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
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.488	0.511	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.482	0.518	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.463	0.537	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.460	0.539	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.455	0.544	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.450	0.550	0.000
rs12143060 lBF = `7.38686` Chr`1` : `156,740,026`	0.450	0.550	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.450	0.550	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.447	0.553	0.000
rs77622929 lBF = `6.08434` Chr`11` : `50,634,946`	0.447	0.553	0.000
rs77689730 lBF = `5.04085` Chr`11` : `51,515,912`	0.446	0.554	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.444	0.556	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.443	0.557	0.000
rs139659694 lBF = `6.68133` Chr`11` : `51,108,240`	0.443	0.557	0.000
rs1603753 lBF = `5.92283` Chr`11` : `51,306,953`	0.442	0.558	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.441	0.559	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.441	0.559	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.440	0.559	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.438	0.561	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.438	0.562	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.437	0.563	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.436	0.564	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.434	0.566	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.433	0.567	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.430	0.570	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.430	0.570	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.429	0.570	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.429	0.570	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.429	0.570	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.429	0.571	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.428	0.572	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.427	0.572	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.426	0.573	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.426	0.574	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.426	0.574	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.425	0.575	0.000
rs12222221 lBF = `8.0928` Chr`11` : `49,488,707`	0.425	0.575	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.424	0.575	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.424	0.576	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.424	0.576	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.424	0.576	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.424	0.576	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.424	0.576	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.423	0.576	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.423	0.577	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.423	0.577	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.422	0.577	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.422	0.577	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.422	0.578	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.421	0.579	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.421	0.579	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.420	0.580	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.418	0.582	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.417	0.582	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.417	0.583	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.415	0.584	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.415	0.585	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.414	0.585	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.414	0.586	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.414	0.586	0.000
rs2745353 lBF = `6.81799` Chr`6` : `127,452,935`	0.413	0.587	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.412	0.588	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.412	0.588	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.412	0.588	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.412	0.588	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.411	0.589	0.000
rs9491696 lBF = `9.01264` Chr`6` : `127,452,639`	0.000	0.589	0.411
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.410	0.589	0.000
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.409	0.591	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.408	0.591	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.408	0.591	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.408	0.592	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.407	0.593	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.406	0.593	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.405	0.595	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.404	0.596	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.404	0.596	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.403	0.597	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.403	0.597	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.402	0.598	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.401	0.599	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.401	0.599	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.400	0.600	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.400	0.600	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.399	0.600	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.399	0.600	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.399	0.601	0.000
rs7745274 lBF = `5.70603` Chr`6` : `127,509,157`	0.000	0.601	0.399
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.399	0.601	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.398	0.601	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.398	0.601	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.398	0.602	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.397	0.603	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.397	0.603	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.397	0.603	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.396	0.604	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.396	0.604	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.396	0.604	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.395	0.604	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.395	0.605	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.394	0.605	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.394	0.605	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.394	0.606	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.393	0.606	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.393	0.606	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.393	0.606	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.393	0.607	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.393	0.607	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.393	0.607	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.393	0.607	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.391	0.608	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.390	0.610	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.390	0.610	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.390	0.610	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.390	0.610	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.390	0.610	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.389	0.610	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.389	0.611	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.389	0.611	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.388	0.612	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.388	0.612	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.387	0.612	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.387	0.613	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.387	0.613	0.000
rs1936801 lBF = `8.69095` Chr`6` : `127,436,313`	0.386	0.614	0.000
rs2503322 lBF = `7.40397` Chr`6` : `127,457,260`	0.000	0.614	0.386
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.386	0.614	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.385	0.614	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.385	0.615	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.384	0.615	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.384	0.616	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.384	0.616	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.384	0.616	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.384	0.616	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.384	0.616	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.383	0.617	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.383	0.617	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.383	0.617	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.383	0.617	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.382	0.618	0.000
rs11580861 lBF = `2.70782` Chr`1` : `194,995,131`	0.381	0.619	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.381	0.619	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.381	0.619	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.381	0.619	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.381	0.619	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.380	0.619	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.380	0.619	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.380	0.620	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.380	0.620	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.380	0.620	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.380	0.620	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.380	0.620	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.379	0.620	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.379	0.621	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.379	0.621	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.379	0.621	0.000
rs35221806 lBF = `7.30552` Chr`7` : `7,350,418`	0.379	0.621	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.379	0.621	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.379	0.621	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.378	0.622	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.378	0.622	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.378	0.622	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.377	0.622	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.377	0.623	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.377	0.623	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.377	0.623	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.377	0.623	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.377	0.623	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.377	0.623	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.376	0.623	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.376	0.623	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.376	0.623	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.376	0.624	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.376	0.624	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.376	0.624	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.376	0.624	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.375	0.625	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.375	0.625	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.375	0.625	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.375	0.625	0.000
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.375	0.625	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.374	0.625	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.374	0.625	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.374	0.625	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.374	0.626	0.000
rs2229092 lBF = `13.1652` Chr`6` : `31,540,757`	0.374	0.626	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.373	0.626	0.000
rs78889204 lBF = `11.4029` Chr`3` : `36,863,059`	0.373	0.626	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.373	0.627	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.373	0.627	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.373	0.627	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.627	0.373
rs9874556 lBF = `2.79079` Chr`3` : `3,356,174`	0.373	0.627	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.372	0.628	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.372	0.628	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.372	0.628	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.371	0.628	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.371	0.628	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.371	0.628	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.371	0.629	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.371	0.629	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.371	0.629	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.370	0.629	0.000
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rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.349	0.651	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.348	0.651	0.000
rs11755266 lBF = `10.3238` Chr`6` : `35,162,141`	0.348	0.651	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.348	0.651	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.348	0.651	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.348	0.651	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.348	0.651	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.348	0.651	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.348	0.652	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.348	0.652	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.348	0.652	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.348	0.652	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.348	0.652	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.347	0.652	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.347	0.652	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.347	0.652	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.347	0.653	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.347	0.653	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.347	0.653	0.000
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.347	0.653	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.347	0.653	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.347	0.653	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.347	0.653	0.000
rs72704117 lBF = `12.9605` Chr`1` : `155,175,089`	0.347	0.653	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.346	0.653	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.346	0.653	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.346	0.653	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.346	0.653	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.346	0.654	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.346	0.654	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.346	0.654	0.000
rs9267822 lBF = `25.4656` Chr`6` : `32,170,407`	0.346	0.654	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.346	0.654	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.346	0.654	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.346	0.654	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.345	0.654	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.345	0.654	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.345	0.654	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.345	0.654	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.345	0.655	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.345	0.655	0.000
rs71561142 lBF = `5.69059` Chr`6` : `8,859,635`	0.345	0.655	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.345	0.655	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.345	0.655	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.345	0.655	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.345	0.655	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.345	0.655	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.345	0.655	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.345	0.655	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.344	0.655	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.344	0.656	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.344	0.656	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.344	0.656	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.344	0.656	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.344	0.656	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.344	0.656	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.344	0.656	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.343	0.656	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.343	0.656	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.343	0.657	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.343	0.657	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.343	0.657	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.343	0.657	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.343	0.657	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.343	0.657	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.343	0.657	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.343	0.657	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.343	0.657	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.343	0.657	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.343	0.657	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.343	0.657	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.343	0.657	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.342	0.657	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.342	0.657	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.342	0.657	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.342	0.657	0.000
rs3117761 lBF = `17.5062` Chr`1` : `177,722,715`	0.342	0.657	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.342	0.657	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.342	0.657	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.342	0.657	0.000
rs57740770 lBF = `14.7225` Chr`6` : `32,067,435`	0.342	0.657	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.342	0.657	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.342	0.658	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.342	0.658	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.342	0.658	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.342	0.658	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.342	0.658	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.342	0.658	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.342	0.658	0.000
rs16877106 lBF = `2.21521` Chr`4` : `25,403,266`	0.342	0.658	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.342	0.658	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.341	0.658	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.341	0.658	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.341	0.658	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.341	0.658	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

0.1547

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0841

Cluster X0312

log Bayes Factor = 35.9944

contains 2 variants

0.0630

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5140

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5139

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5139

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5138

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5137

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5131

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5120

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5117

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5116

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5110

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5106

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5103

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5099

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5092

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5089

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5085

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5063

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5046

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5002

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5000

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4992

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4987

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4985

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4983

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4963

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.4953

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4952

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4934

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4927

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4919

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4916

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4889

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4874

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4864

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4780

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4770

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4760

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4754

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4747

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4740

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4729

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4721

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4699

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4696

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4689

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4654

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4631

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4606

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4594

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4584

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4575

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4572

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4570

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4556

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4497

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4480

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4467

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4396

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4392

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4356

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4340

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4328

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4319

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4315

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4269

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4253

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4250

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4225

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4210

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4207

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4186

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4183

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4177

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4163

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4148

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4139

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4120

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4107

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4105

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4101

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4082

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4075

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4059

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4052

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4052

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4044

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4042

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4017

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4016

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4015

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4013

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4008

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4003

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3991

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3983

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3976

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3974

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3947

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3940

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3921

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3911

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3904

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3887

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3851

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3827

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3823

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3806

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3791

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3787

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3781

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3772

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3725

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3719

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3686

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3686

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3685

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3684

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3682

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3680

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3677

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3677

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3677

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3676

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3672

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3670

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3668

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3668

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3667

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3665

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3665

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3664

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3664

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3657

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3655

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3653

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3651

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3649

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3646

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3638

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3620

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3619

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3616

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3611

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3602

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3600

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3599

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3589

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3580

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3565

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3564

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3558

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3554

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3540

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3537

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3528

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3527

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3512

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3510

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3453

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3427

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3414

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3407

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3380

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3378

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3364

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3360

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3355

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3345

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3321

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3309

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3308

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3268

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3202

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3141

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3111

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3094

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3078

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3073

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3064

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3029

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3017

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2976

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2965

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2947

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2922

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.2889

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2847

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2830

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2824

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2782

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2737

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2684

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2531

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2510

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2509

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2396

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2338

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2330

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2289

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2288

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2274

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2190

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2190

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2035

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2021

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1893

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1696

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1508

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1472

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1127

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1127

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1023

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.0643

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0582

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0515

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`)