TreeWAS – [T13.9] Unspecified injury of lower limb, level unspecified

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.600	0.400	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.570	0.430	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.568	0.432	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.558	0.442	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.550	0.450	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.549	0.450	0.000
rs78171731 lBF = `9.24022` Chr`14` : `30,189,605`	0.548	0.452	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.547	0.453	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.545	0.455	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.542	0.458	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.534	0.466	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.534	0.466	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.533	0.467	0.000
rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.531	0.469	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.531	0.469	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.528	0.472	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.525	0.475	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.521	0.479	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.520	0.480	0.000
rs112288323 lBF = `2.33034` Chr`2` : `26,228,207`	0.516	0.484	0.000
rs67199640 lBF = `6.01397` Chr`9` : `84,306,876`	0.516	0.484	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.514	0.486	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.513	0.487	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.513	0.487	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.510	0.489	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.510	0.490	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.508	0.492	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.507	0.493	0.000
rs7611684 lBF = `2.94823` Chr`3` : `23,482,812`	0.506	0.494	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.505	0.495	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.504	0.496	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.503	0.497	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.502	0.498	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.502	0.498	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.500	0.499	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.498	0.501	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.498	0.502	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.498	0.502	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.498	0.502	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.498	0.502	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.497	0.503	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.496	0.503	0.000
rs6929137 lBF = `11.0316` Chr`6` : `151,936,677`	0.496	0.504	0.000
rs59104984 lBF = `9.35952` Chr`3` : `135,322,531`	0.495	0.504	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.495	0.505	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.495	0.505	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.494	0.505	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.493	0.506	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.492	0.507	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.491	0.509	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.490	0.510	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.489	0.511	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.489	0.511	0.000
rs9267532 lBF = `5.4348` Chr`6` : `31,639,979`	0.489	0.511	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.488	0.512	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.487	0.513	0.000
rs397081 lBF = `8.41448` Chr`6` : `32,192,617`	0.487	0.513	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.487	0.513	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.486	0.513	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.485	0.514	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.484	0.516	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.484	0.516	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.484	0.516	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.483	0.517	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.482	0.518	0.000
rs2268361 lBF = `2.13303` Chr`2` : `49,201,612`	0.480	0.520	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.480	0.520	0.000
rs72648438 lBF = `7.6831` Chr`1` : `17,923,847`	0.480	0.520	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.479	0.521	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.478	0.521	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.478	0.522	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.478	0.522	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.477	0.523	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.477	0.523	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.475	0.525	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.475	0.525	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.474	0.525	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.474	0.526	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.474	0.526	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.473	0.526	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.473	0.527	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.473	0.527	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.472	0.527	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.472	0.528	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.471	0.529	0.000
rs116161699 lBF = `8.96181` Chr`6` : `66,726,604`	0.471	0.529	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.471	0.529	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.470	0.529	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.470	0.529	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.470	0.530	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.470	0.530	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.469	0.531	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.469	0.531	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.469	0.531	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.469	0.531	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.469	0.531	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.468	0.531	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.468	0.531	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.468	0.532	0.000
rs34406675 lBF = `23.4153` Chr`2` : `144,301,488`	0.467	0.533	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.466	0.533	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.466	0.534	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.466	0.534	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.465	0.535	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.465	0.535	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.464	0.536	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.464	0.536	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.464	0.536	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.464	0.536	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.464	0.536	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.463	0.536	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.463	0.537	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.462	0.537	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.462	0.538	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.462	0.538	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.462	0.538	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.461	0.538	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.460	0.539	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.460	0.540	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.460	0.540	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.459	0.541	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.458	0.542	0.000
rs13180087 lBF = `2.35122` Chr`5` : `45,265,768`	0.458	0.542	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.457	0.542	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.457	0.542	0.000
rs2823779 lBF = `1.55455` Chr`21` : `17,768,524`	0.457	0.542	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.457	0.543	0.000
rs12143060 lBF = `7.38686` Chr`1` : `156,740,026`	0.457	0.543	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.457	0.543	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.456	0.543	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.456	0.543	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.456	0.543	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.456	0.544	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.456	0.544	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.456	0.544	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.456	0.544	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.455	0.544	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.455	0.544	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.455	0.545	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.455	0.545	0.000
rs36000907 lBF = `5.41451` Chr`5` : `45,183,148`	0.455	0.545	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.454	0.546	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.454	0.546	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.454	0.546	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.453	0.547	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.453	0.547	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.453	0.547	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.453	0.547	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.453	0.547	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.453	0.547	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.452	0.547	0.000
rs77719114 lBF = `7.9032` Chr`5` : `131,647,677`	0.452	0.547	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.452	0.547	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.452	0.548	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.452	0.548	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.452	0.548	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.452	0.548	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.451	0.548	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.451	0.549	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.451	0.549	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.451	0.549	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.451	0.549	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.450	0.549	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.450	0.549	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.450	0.550	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.450	0.550	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.450	0.550	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.450	0.550	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.450	0.550	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.449	0.550	0.000
rs10931898 lBF = `8.93071` Chr`2` : `201,171,191`	0.449	0.551	0.000
rs75128058 lBF = `8.3914` Chr`6` : `52,978,053`	0.449	0.551	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.448	0.551	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.448	0.551	0.000
rs73868774 lBF = `7.03284` Chr`3` : `143,032,574`	0.448	0.551	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.448	0.551	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.448	0.552	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.448	0.552	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.448	0.552	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.448	0.552	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.448	0.552	0.000
rs115759551 lBF = `12.7074` Chr`1` : `156,963,356`	0.448	0.552	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.448	0.552	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.448	0.552	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.448	0.552	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.448	0.552	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.447	0.552	0.000
rs707915 lBF = `5.32824` Chr`6` : `31,710,968`	0.447	0.552	0.000
rs3135506 lBF = `8.9619` Chr`11` : `116,662,407`	0.447	0.552	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.447	0.553	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.447	0.553	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.447	0.553	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.447	0.553	0.000
rs12562437 lBF = `1.46438` Chr`1` : `3,651,031`	0.447	0.553	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.447	0.553	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.446	0.553	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.446	0.554	0.000
rs7729458 lBF = `5.89518` Chr`5` : `2,799,100`	0.446	0.554	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.446	0.554	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.446	0.554	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.445	0.554	0.000
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.445	0.554	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.445	0.554	0.000
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rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.422	0.578	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.421	0.578	0.000
rs62295986 lBF = `9.09224` Chr`3` : `169,354,710`	0.421	0.578	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.421	0.578	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.421	0.578	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.421	0.579	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.421	0.579	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.421	0.579	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.421	0.579	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.421	0.579	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.421	0.579	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.421	0.579	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.421	0.579	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.421	0.579	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.420	0.579	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.420	0.579	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.420	0.579	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.420	0.579	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.420	0.579	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.420	0.579	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.420	0.580	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.420	0.580	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.420	0.580	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.420	0.580	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.420	0.580	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.420	0.580	0.000
rs114622739 lBF = `3.20296` Chr`4` : `78,896,548`	0.420	0.580	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.420	0.580	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.419	0.580	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.420	0.580	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.419	0.580	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.419	0.580	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.419	0.580	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.419	0.580	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.419	0.581	0.000
rs116434694 lBF = `8.6061` Chr`1` : `203,335,188`	0.419	0.581	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.419	0.581	0.000
rs3827268 lBF = `5.10531` Chr`21` : `47,350,010`	0.419	0.581	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.419	0.581	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.418	0.581	0.000
rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.418	0.581	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.418	0.581	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.418	0.581	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.418	0.582	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.418	0.582	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.418	0.582	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.418	0.582	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.418	0.582	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.418	0.582	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.418	0.582	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.418	0.582	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.418	0.582	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.417	0.582	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.417	0.582	0.000
rs12207186 lBF = `0.836971` Chr`6` : `162,314,921`	0.417	0.582	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.417	0.582	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.417	0.582	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.417	0.583	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.417	0.583	0.000
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.417	0.583	0.000
rs62221577 lBF = `8.78053` Chr`21` : `33,164,508`	0.417	0.583	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.417	0.583	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.417	0.583	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.417	0.583	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.417	0.583	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.417	0.583	0.000
rs13210382 lBF = `7.7697` Chr`6` : `18,326,873`	0.417	0.583	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.417	0.583	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.416	0.583	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.416	0.583	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.416	0.583	0.000
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.416	0.583	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.416	0.583	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.416	0.583	0.000
rs4151664 lBF = `61.8333` Chr`6` : `31,920,873`	0.416	0.584	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.416	0.584	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.416	0.584	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.416	0.584	0.000
rs1228075 lBF = `5.39429` Chr`2` : `146,608,872`	0.416	0.584	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.416	0.584	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.416	0.584	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.416	0.584	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.416	0.584	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.416	0.584	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.415	0.584	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.415	0.584	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.415	0.585	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.415	0.585	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.415	0.585	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.415	0.585	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.415	0.585	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.415	0.585	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.415	0.585	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.415	0.585	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.414	0.585	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

0.3662

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2643

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8190

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7095

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7042

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7006

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6878

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6872

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6803

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6796

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6723

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6664

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6636

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6570

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6526

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6509

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6508

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6467

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6440

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6379

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6311

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6285

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6188

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6188

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6065

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6043

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5936

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5919

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5913

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5904

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.5850

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5840

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5838

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5828

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5816

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5766

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5758

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5757

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5704

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5631

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5627

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5626

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5623

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5602

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5553

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5533

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5512

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5494

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5481

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5454

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5441

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5429

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5418

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5415

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5394

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5326

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5326

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5293

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5254

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5213

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5208

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5193

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5173

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5146

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5113

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5097

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.5090

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5071

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5062

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5050

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5044

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5043

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5035

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4972

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4972

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4960

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4959

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4956

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4951

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.4934

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4910

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4909

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4899

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4893

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4887

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4877

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.4870

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4846

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4838

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4827

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4824

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4808

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4807

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4788

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4775

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4762

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4759

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4756

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4737

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4735

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4713

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4700

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4688

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4678

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4678

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4676

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4668

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4645

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4634

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4625

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4610

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4602

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4583

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4572

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4570

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4566

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4558

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4523

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4516

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4516

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.4504

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4500

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4470

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4460

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4456

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4450

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4445

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4436

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4435

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4425

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4424

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4421

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4412

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4405

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4398

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4379

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4371

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4369

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4366

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.4357

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4352

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4344

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4344

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4333

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4325

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4325

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4324

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4302

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4289

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4286

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4278

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4263

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4249

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4244

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4228

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4223

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4217

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4211

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4210

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4210

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4202

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4178

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4178

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4167

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4147

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4119

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4119

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4107

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4103

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4078

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4078

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4038

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3998

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3991

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.3972

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3962

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3962

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3940

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3939

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3933

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3871

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3855

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3842

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3827

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3827

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3824

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3824

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3817

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3810

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3762

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3693

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3690

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3689

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3686

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3686

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3686

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3686

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3686

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3686

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3686

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3686

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3686

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3686

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3660

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3657

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3608

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3602

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3505

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3490

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3414

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3348

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3317

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3281

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3170

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.2997

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1138

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1068

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1063

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.0809

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.0762

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0746

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`)