TreeWAS – [M54.64] Pain in thoracic spine (Thoracic region)

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
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.920	0.080	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.857	0.143	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.830	0.170	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.785	0.215	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.777	0.223	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.772	0.228	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.766	0.234	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.764	0.236	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.752	0.248	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.750	0.250	0.000
rs2764209 lBF = `4.24881` Chr`6` : `34,697,114`	0.740	0.260	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.737	0.263	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.736	0.264	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.733	0.267	0.000
rs72819097 lBF = `6.00972` Chr`2` : `78,461,082`	0.726	0.274	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.721	0.279	0.000
rs72819068 lBF = `7.79831` Chr`2` : `78,414,284`	0.719	0.281	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.717	0.283	0.000
rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	0.716	0.284	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.715	0.285	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.707	0.293	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.706	0.294	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.701	0.299	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.695	0.305	0.000
rs61772626 lBF = `10.1601` Chr`1` : `57,015,668`	0.695	0.305	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.693	0.306	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.693	0.307	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.691	0.309	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.689	0.311	0.000
rs115020061 lBF = `13.9152` Chr`3` : `13,548,716`	0.677	0.322	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.676	0.324	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.675	0.325	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.670	0.330	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.669	0.331	0.000
rs2037723 lBF = `1.89195` Chr`2` : `78,539,666`	0.666	0.334	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.664	0.335	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.659	0.340	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.659	0.341	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.658	0.342	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.653	0.346	0.000
rs72765334 lBF = `5.63815` Chr`2` : `3,312,868`	0.653	0.347	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.652	0.348	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.652	0.348	0.000
rs10506458 lBF = `2.80462` Chr`12` : `63,445,092`	0.649	0.351	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.648	0.352	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.648	0.352	0.000
rs76138999 lBF = `6.4088` Chr`5` : `102,029,219`	0.647	0.353	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.644	0.356	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.641	0.358	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.641	0.359	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.641	0.359	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.639	0.361	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.638	0.362	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.637	0.362	0.000
rs147786325 lBF = `1.81622` Chr`3` : `70,725,902`	0.637	0.363	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.636	0.364	0.000
rs34026679 lBF = `10.6117` Chr`21` : `27,248,814`	0.635	0.365	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.634	0.366	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.633	0.367	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.632	0.368	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.628	0.372	0.000
rs16875528 lBF = `3.20941` Chr`4` : `24,308,079`	0.624	0.376	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.623	0.377	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.623	0.377	0.000
rs10480 lBF = `12.2881` Chr`1` : `150,280,546`	0.622	0.378	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.621	0.379	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.620	0.380	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.618	0.381	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.618	0.382	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.618	0.382	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.617	0.382	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.617	0.383	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.615	0.385	0.000
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.615	0.385	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.612	0.388	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.610	0.390	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.610	0.390	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.610	0.390	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.608	0.392	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.608	0.392	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.607	0.393	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.606	0.394	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.605	0.395	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.605	0.395	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.603	0.397	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.603	0.397	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.602	0.398	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.602	0.398	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.602	0.398	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.601	0.399	0.000
rs362307 lBF = `11.8771` Chr`4` : `3,241,845`	0.601	0.399	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.598	0.401	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.598	0.402	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.597	0.403	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.597	0.403	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.596	0.403	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.596	0.404	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.595	0.405	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.594	0.406	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.594	0.406	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.593	0.407	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.592	0.408	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.591	0.409	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.590	0.410	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.590	0.410	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.589	0.411	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.589	0.411	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.589	0.411	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.589	0.411	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.587	0.413	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.587	0.413	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.586	0.414	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.585	0.415	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.584	0.416	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.584	0.416	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.582	0.418	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.581	0.419	0.000
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.581	0.419	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.581	0.419	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.581	0.419	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.580	0.420	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.576	0.423	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.576	0.423	0.000
rs12360000 lBF = `0.453992` Chr`10` : `1,897,978`	0.575	0.425	0.000
rs7952138 lBF = `5.64808` Chr`11` : `118,953,952`	0.574	0.425	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.574	0.426	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.573	0.427	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.573	0.427	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.573	0.427	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.572	0.428	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.570	0.430	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.568	0.431	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.567	0.433	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.567	0.433	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.566	0.434	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.566	0.434	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.565	0.435	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.564	0.436	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.564	0.436	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.564	0.436	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.564	0.436	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.564	0.436	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.562	0.438	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.561	0.439	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.561	0.439	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.561	0.439	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.560	0.440	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.560	0.440	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.560	0.440	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.560	0.440	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.560	0.440	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.560	0.440	0.000
rs34333163 lBF = `18.6428` Chr`4` : `103,283,117`	0.559	0.441	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.558	0.442	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.557	0.442	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.557	0.443	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.556	0.444	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.555	0.445	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.554	0.445	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.554	0.446	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.554	0.446	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.554	0.446	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.554	0.446	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.553	0.446	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.553	0.446	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.553	0.447	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.553	0.447	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.551	0.449	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.550	0.450	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.549	0.451	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.548	0.452	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.548	0.452	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.548	0.452	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.547	0.452	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.547	0.452	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.547	0.453	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.547	0.453	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.546	0.454	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.546	0.454	0.000
rs78371551 lBF = `5.54553` Chr`2` : `12,631,328`	0.546	0.454	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.545	0.454	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.545	0.455	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.545	0.455	0.000
rs6779678 lBF = `12.6162` Chr`3` : `149,225,903`	0.544	0.456	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.544	0.456	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.544	0.456	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.543	0.457	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.543	0.457	0.000
rs17564083 lBF = `5.59903` Chr`14` : `29,967,193`	0.543	0.457	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.542	0.458	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.542	0.458	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.542	0.458	0.000
rs17368073 lBF = `7.77278` Chr`1` : `77,222,172`	0.542	0.458	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.542	0.458	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.542	0.458	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.541	0.459	0.000
rs138325697 lBF = `2.99756` Chr`1` : `194,689,514`	0.539	0.461	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.539	0.461	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.539	0.461	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.539	0.461	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.538	0.461	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.538	0.461	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.538	0.462	0.000
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rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.499	0.500	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.499	0.501	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.499	0.501	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.499	0.501	0.000
rs71319465 lBF = `15.9195` Chr`21` : `29,795,538`	0.499	0.501	0.000
rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.499	0.501	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.499	0.501	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.499	0.501	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.498	0.502	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.498	0.502	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.498	0.502	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.498	0.502	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.498	0.502	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.498	0.502	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.498	0.502	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.497	0.502	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.497	0.502	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.497	0.503	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.497	0.503	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.497	0.503	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.497	0.503	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.497	0.503	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.497	0.503	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.496	0.503	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.496	0.504	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.496	0.504	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.496	0.504	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.496	0.504	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.495	0.505	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.495	0.505	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.495	0.505	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.495	0.505	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.495	0.505	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.495	0.505	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.494	0.505	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.494	0.505	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.494	0.506	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.494	0.506	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.494	0.506	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.494	0.506	0.000
rs76150537 lBF = `15.7037` Chr`2` : `67,063,487`	0.494	0.506	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.494	0.506	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.493	0.506	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.493	0.506	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.493	0.507	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.493	0.507	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.493	0.507	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.493	0.507	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.492	0.508	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.492	0.508	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.492	0.508	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.492	0.508	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.492	0.508	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.491	0.509	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.491	0.509	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.491	0.509	0.000
rs116152102 lBF = `12.5496` Chr`1` : `72,896,151`	0.491	0.509	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.491	0.509	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.491	0.509	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.491	0.509	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.491	0.509	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.490	0.509	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.490	0.510	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.490	0.510	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.490	0.510	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.490	0.510	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.490	0.510	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.489	0.510	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.489	0.511	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.489	0.511	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.489	0.511	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.489	0.511	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.489	0.511	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.488	0.511	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.488	0.512	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.488	0.512	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.488	0.512	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.488	0.512	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.488	0.512	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.488	0.512	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.487	0.513	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.487	0.513	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.487	0.513	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.513	0.487
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.486	0.513	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.486	0.514	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.486	0.514	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.486	0.514	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.486	0.514	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.486	0.514	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.486	0.514	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.486	0.514	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.485	0.514	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.485	0.514	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.485	0.515	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9933

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9875

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9840

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9785

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9783

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9759

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9731

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9439

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9391

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9261

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.9050

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9038

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8873

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8825

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8788

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8772

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8681

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8651

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8639

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8618

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8615

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8576

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8565

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8373

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8358

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8296

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8271

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8266

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8254

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8240

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8237

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8235

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8234

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8196

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8164

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8163

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8082

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7931

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7924

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7901

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7696

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7665

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7664

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7615

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7565

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7550

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7547

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7473

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7427

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7404

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7398

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7388

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7319

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7318

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7305

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7253

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7217

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7216

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7106

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7075

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7033

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6930

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6858

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6759

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6757

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6605

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6595

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6564

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6556

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6524

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6513

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6475

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6448

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6448

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6417

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6391

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6328

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6248

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6162

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6144

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6041

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6039

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5964

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5962

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5829

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5788

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5783

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5776

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5771

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5763

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5759

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5736

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5733

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5726

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5689

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5621

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5539

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5405

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5345

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5268

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5236

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5194

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5167

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5135

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5035

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4967

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4894

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4890

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4849

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4638

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4616

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4587

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4580

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4564

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4497

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4417

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4392

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4147

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4141

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4017

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3930

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3890

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3842

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3748

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3619

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3581

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3559

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3544

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3471

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3457

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3455

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3341

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3278

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3273

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3255

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3075

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3061

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2936

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2884

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2764

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2742

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2717

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2711

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2654

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2517

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2514

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2410

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2274

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2267

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2015

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.1982

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1875

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1874

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1872

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1702

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1652

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1606

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1481

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1474

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1443

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1408

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1383

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1332

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1326

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1297

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1279

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1246

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1071

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1065

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0982

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0980

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0809

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0798

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0735

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0724

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0711

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0695

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.0663

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0656

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0656

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0586

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0580

Cluster X0261

log Bayes Factor = 420.614

contains 20 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`)