TreeWAS – [C76.8] Overlapping lesion of other and ill-defined sites

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
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	0.318	0.682
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.662	0.338	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.654	0.346	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.626	0.374	0.000
rs1573706 lBF = `7.31447` Chr`20` : `40,921,149`	0.625	0.374	0.000
rs2734986 lBF = `167.606` Chr`6` : `29,818,568`	0.616	0.383	0.000
rs3824660 lBF = `4.51652` Chr`10` : `8,104,722`	0.000	0.385	0.615
rs1158656 lBF = `5.87082` Chr`5` : `173,213,637`	0.614	0.385	0.000
rs10905279 lBF = `7.21525` Chr`10` : `8,107,572`	0.612	0.388	0.000
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	0.610	0.390	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.609	0.391	0.000
rs6072869 lBF = `5.17642` Chr`20` : `41,399,171`	0.000	0.394	0.606
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.000	0.394	0.605
rs3766823 lBF = `11.995` Chr`1` : `32,197,257`	0.603	0.397	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.602	0.398	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.600	0.399	0.000
rs2517862 lBF = `169.608` Chr`6` : `29,821,937`	0.600	0.400	0.000
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.599	0.401	0.000
rs10509168 lBF = `9.52928` Chr`10` : `64,257,828`	0.599	0.401	0.000
rs9274253 lBF = `235.721` Chr`6` : `32,631,348`	0.599	0.401	0.000
rs2297603 lBF = `6.02943` Chr`9` : `101,778,265`	0.598	0.402	0.000
rs1110446 lBF = `126.145` Chr`6` : `30,070,937`	0.597	0.403	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.597	0.403	0.000
Affx-28417083 lBF = `161.03` Chr`6` : `29,910,663`	0.597	0.403	0.000
rs2940479 lBF = `6.80075` Chr`5` : `175,002,424`	0.596	0.404	0.000
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.596	0.404	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.596	0.404	0.000
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.596	0.404	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.595	0.405	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.593	0.407	0.000
rs3129012 lBF = `168.733` Chr`6` : `29,988,642`	0.592	0.408	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.000	0.408	0.592
rs356971 lBF = `170.044` Chr`6` : `29,979,797`	0.592	0.408	0.000
rs2240071 lBF = `127.159` Chr`6` : `30,070,932`	0.591	0.409	0.000
rs929157 lBF = `232.182` Chr`6` : `30,137,209`	0.591	0.409	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.591	0.409	0.000
rs2517645 lBF = `222.009` Chr`6` : `30,122,623`	0.590	0.410	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.589	0.411	0.000
rs4766578 lBF = `133.156` Chr`12` : `111,904,371`	0.588	0.412	0.000
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.586	0.414	0.000
rs1550404 lBF = `4.20415` Chr`2` : `127,330,954`	0.586	0.414	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.584	0.415	0.000
rs57387722 lBF = `5.02831` Chr`4` : `31,011,294`	0.584	0.416	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.583	0.417	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.582	0.418	0.000
rs17630235 lBF = `80.0182` Chr`12` : `112,591,686`	0.000	0.418	0.582
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	0.581	0.418	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.581	0.419	0.000
rs9273529 lBF = `237.135` Chr`6` : `32,628,698`	0.581	0.419	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.581	0.419	0.000
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.580	0.420	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.579	0.421	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.578	0.422	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.578	0.422	0.000
rs59104984 lBF = `9.35952` Chr`3` : `135,322,531`	0.575	0.425	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.575	0.425	0.000
rs10493807 lBF = `10.1493` Chr`1` : `88,622,731`	0.574	0.425	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.574	0.425	0.000
rs7279238 lBF = `6.50081` Chr`21` : `43,092,206`	0.573	0.426	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.572	0.428	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.572	0.428	0.000
rs10774625 lBF = `134.733` Chr`12` : `111,910,219`	0.000	0.428	0.572
rs7237422 lBF = `7.61091` Chr`18` : `69,334,652`	0.000	0.429	0.571
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.569	0.431	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.569	0.431	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.569	0.431	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.568	0.431	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.568	0.431	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.568	0.431	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.568	0.432	0.000
rs17696736 lBF = `77.5307` Chr`12` : `112,486,818`	0.000	0.435	0.565
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.564	0.436	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.564	0.436	0.000
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.000	0.437	0.563
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.563	0.437	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.563	0.437	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.562	0.437	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.562	0.438	0.000
rs11118844 lBF = `1.43161` Chr`1` : `221,910,288`	0.561	0.439	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.560	0.440	0.000
rs4906356 lBF = `7.54691` Chr`14` : `104,138,701`	0.560	0.440	0.000
rs28732081 lBF = `101.638` Chr`6` : `31,002,343`	0.558	0.442	0.000
rs4074961 lBF = `2.52853` Chr`1` : `38,092,723`	0.000	0.443	0.557
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.556	0.444	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.555	0.445	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.555	0.445	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.554	0.446	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.553	0.446	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.553	0.447	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.553	0.447	0.000
rs3891175 lBF = `236.205` Chr`6` : `32,634,467`	0.552	0.447	0.000
Affx-26917190 lBF = `6.14668` Chr`5` : `71,081,960`	0.000	0.448	0.552
rs78442748 lBF = `5.95674` Chr`2` : `62,105,986`	0.552	0.448	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.552	0.448	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.552	0.448	0.000
rs1541269 lBF = `254.96` Chr`6` : `30,103,360`	0.551	0.449	0.000
rs1799796 lBF = `7.32489` Chr`14` : `104,165,927`	0.547	0.453	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.547	0.453	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.547	0.453	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.547	0.453	0.000
rs1264709 lBF = `168.365` Chr`6` : `30,056,476`	0.547	0.453	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.547	0.453	0.000
rs2517613 lBF = `243.064` Chr`6` : `30,165,662`	0.546	0.454	0.000
rs2523720 lBF = `241.707` Chr`6` : `30,166,886`	0.545	0.455	0.000
rs2110073 lBF = `2.42215` Chr`12` : `7,075,882`	0.545	0.455	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.544	0.456	0.000
rs11066301 lBF = `73.3256` Chr`12` : `112,871,372`	0.000	0.456	0.544
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.543	0.456	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.543	0.457	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.542	0.458	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.542	0.458	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.540	0.460	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.540	0.460	0.000
rs12069336 lBF = `13.4724` Chr`1` : `162,129,334`	0.539	0.461	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.538	0.462	0.000
rs11126117 lBF = `5.81076` Chr`2` : `67,479,214`	0.538	0.462	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.538	0.462	0.000
rs17229494 lBF = `5.20366` Chr`21` : `38,928,100`	0.537	0.462	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.537	0.463	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.537	0.463	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.537	0.463	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.536	0.463	0.000
rs73396800 lBF = `71.0876` Chr`6` : `32,914,726`	0.536	0.464	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.536	0.464	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.536	0.464	0.000
rs11065979 lBF = `94.2904` Chr`12` : `112,059,557`	0.000	0.464	0.535
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.535	0.465	0.000
rs11758636 lBF = `6.63593` Chr`6` : `27,229,561`	0.535	0.465	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.534	0.465	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.534	0.466	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.534	0.466	0.000
rs56308049 lBF = `5.33128` Chr`18` : `27,976,836`	0.534	0.466	0.000
rs10969557 lBF = `2.49886` Chr`9` : `310,970`	0.000	0.467	0.533
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.533	0.467	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.533	0.467	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.533	0.467	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.532	0.468	0.000
rs565229 lBF = `1.36315` Chr`11` : `122,189,465`	0.532	0.468	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.532	0.468	0.000
rs2517618 lBF = `242.769` Chr`6` : `30,158,127`	0.532	0.468	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.530	0.470	0.000
rs885916 lBF = `241.114` Chr`6` : `30,202,571`	0.527	0.473	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.527	0.473	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.526	0.474	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.525	0.475	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.525	0.475	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.523	0.477	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.522	0.477	0.000
rs61901649 lBF = `7.32545` Chr`11` : `59,340,013`	0.522	0.478	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.522	0.478	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.521	0.479	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.521	0.479	0.000
rs4678680 lBF = `1.04126` Chr`3` : `33,020,035`	0.000	0.480	0.520
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.518	0.481	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.517	0.483	0.000
rs3094176 lBF = `164.456` Chr`6` : `29,821,270`	0.517	0.483	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.517	0.483	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.516	0.484	0.000
rs1887631 lBF = `5.57517` Chr`1` : `108,067,232`	0.000	0.484	0.516
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.516	0.484	0.000
rs10022787 lBF = `8.05101` Chr`4` : `56,521,889`	0.515	0.484	0.000
rs61786357 lBF = `5.38959` Chr`1` : `97,775,113`	0.515	0.485	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.515	0.485	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.514	0.486	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.514	0.486	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.514	0.486	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.514	0.486	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.514	0.486	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.514	0.486	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.514	0.486	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.514	0.486	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.514	0.486	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.514	0.486	0.000
rs34454471 lBF = `18.9993` Chr`11` : `64,607,670`	0.514	0.486	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.514	0.486	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.514	0.486	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.514	0.486	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.514	0.486	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.514	0.486	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.514	0.486	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.514	0.486	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.514	0.486	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.514	0.486	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.514	0.486	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.514	0.486	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.514	0.486	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.486	0.514
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.514	0.486	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.514	0.486	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.514	0.486	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.514	0.486	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.514	0.486	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.514	0.486	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.514	0.486	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.514	0.486	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.514	0.486	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.514	0.486	0.000
rs115020061 lBF = `13.9152` Chr`3` : `13,548,716`	0.514	0.486	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.514	0.486	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.514	0.486	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.514	0.486	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.514	0.486	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.514	0.486	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.514	0.486	0.000
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rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.514	0.486	0.000
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.514	0.486	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.514	0.486	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.514	0.486	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	0.514	0.486	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.514	0.486	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.514	0.486	0.000
rs9835928 lBF = `17.3241` Chr`3` : `114,296,725`	0.514	0.486	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.514	0.486	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.514	0.486	0.000
rs383182 lBF = `4.20337` Chr`9` : `76,115,818`	0.514	0.486	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.514	0.486	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.514	0.486	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.514	0.486	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.514	0.486	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.514	0.486	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.514	0.486	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.514	0.486	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.514	0.486	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.514	0.486	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.514	0.486	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.514	0.486	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.514	0.486	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.514	0.486	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.514	0.486	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.514	0.486	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.514	0.486	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.514	0.486	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.514	0.486	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.514	0.486	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.514	0.486	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.514	0.486	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.513	0.486	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.513	0.486	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.513	0.486	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.513	0.486	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.513	0.486	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.513	0.486	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.513	0.486	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.513	0.486	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.513	0.486	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.513	0.486	0.000
rs56286522 lBF = `14.5169` Chr`1` : `99,517,636`	0.513	0.486	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.513	0.486	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.513	0.486	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.513	0.486	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.513	0.486	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.513	0.486	0.000
rs71323034 lBF = `16.6347` Chr`3` : `31,072,353`	0.513	0.486	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.513	0.486	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.513	0.486	0.000
rs73336408 lBF = `8.76344` Chr`21` : `23,343,776`	0.513	0.486	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.513	0.486	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.513	0.486	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.513	0.486	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.513	0.486	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.513	0.486	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.513	0.487	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.513	0.487	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.513	0.487	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.513	0.487	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.513	0.487	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.513	0.487	0.000
rs5030965 lBF = `7.66452` Chr`6` : `27,216,699`	0.513	0.487	0.000
rs9468508 lBF = `23.4669` Chr`6` : `29,253,756`	0.513	0.487	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.513	0.487	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.513	0.487	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.513	0.487	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.513	0.487	0.000
rs79019069 lBF = `4.63997` Chr`3` : `148,481,023`	0.513	0.487	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.513	0.487	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.513	0.487	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.513	0.487	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.513	0.487	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.513	0.487	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.513	0.487	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.513	0.487	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.513	0.487	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.513	0.487	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.513	0.487	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.513	0.487	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.513	0.487	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.513	0.487	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.513	0.487	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.513	0.487	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.513	0.487	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.513	0.487	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.513	0.487	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.513	0.487	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.513	0.487	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.513	0.487	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.513	0.487	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.513	0.487	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.513	0.487	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.5140

Cluster X0097

log Bayes Factor = 96.1227

contains 10 variants

0.4461

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3908

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0980

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7154

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.7058

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.6953

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6829

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6684

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6656

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6646

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6629

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6622

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6500

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6455

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6315

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6103

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5882

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5861

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.5859

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5832

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5741

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5713

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5713

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5712

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5604

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5592

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5563

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5562

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5494

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.5469

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5140

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5140

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5140

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5140

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5140

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5140

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5140

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5140

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5140

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5140

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5140

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5140

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5140

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5140

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5140

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5140

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5140

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5140

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5140

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5140

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5140

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5140

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5140

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5140

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5140

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5140

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5140

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5140

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5140

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5140

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5140

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5140

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5140

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5140

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5140

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5140

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5138

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5138

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5136

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5136

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5130

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5128

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5119

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5115

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5102

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5087

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5085

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5044

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5019

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5008

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5007

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4971

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4955

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4883

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4860

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4510

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4460

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4341

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4205

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4192

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4156

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4124

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3365

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3160

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3029

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2995

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2988

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2859

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2830

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2829

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2775

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2773

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2646

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2594

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2550

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2537

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2473

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2441

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2346

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2325

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2321

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2247

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2197

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2152

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2110

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1981

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1941

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1806

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1758

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1742

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1667

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1663

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1642

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1430

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1408

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1202

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1192

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1055

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1047

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0999

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0957

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0908

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0907

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0884

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0809

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0806

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0772

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0739

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0726

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0697

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0694

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0694

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0662

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0643

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0618

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0590

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0582

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0566

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0537

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0529

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0525

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`)