TreeWAS – [L81.5] Leukoderma, not elsewhere classified

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
rs12203592 lBF = `220.671` Chr`6` : `396,321`	0.717	0.283	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.716	0.284	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.716	0.284	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.716	0.284	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.715	0.284	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.715	0.285	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.715	0.285	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.714	0.286	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.713	0.287	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.701	0.299	0.000
rs2734984 lBF = `103.886` Chr`6` : `29,820,831`	0.686	0.314	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	0.316	0.684
rs2734980 lBF = `103.395` Chr`6` : `29,821,896`	0.683	0.317	0.000
rs2517861 lBF = `101.976` Chr`6` : `29,821,982`	0.682	0.317	0.000
rs5013088 lBF = `102.704` Chr`6` : `29,820,389`	0.681	0.319	0.000
rs62389423 lBF = `145.226` Chr`6` : `421,281`	0.680	0.320	0.000
rs2734985 lBF = `103.334` Chr`6` : `29,818,662`	0.675	0.325	0.000
rs62389424 lBF = `141.95` Chr`6` : `422,631`	0.675	0.325	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.672	0.328	0.000
rs2517870 lBF = `101.883` Chr`6` : `29,818,744`	0.671	0.328	0.000
rs3094127 lBF = `214.194` Chr`6` : `30,697,447`	0.669	0.331	0.000
rs28383438 lBF = `87.6743` Chr`6` : `32,609,038`	0.000	0.332	0.668
rs9258593 lBF = `108.321` Chr`6` : `29,819,599`	0.666	0.334	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.666	0.334	0.000
rs3095329 lBF = `217.089` Chr`6` : `30,693,816`	0.665	0.335	0.000
rs3132584 lBF = `215.866` Chr`6` : `30,688,427`	0.664	0.336	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.660	0.339	0.000
rs28383249 lBF = `100.141` Chr`6` : `32,585,500`	0.000	0.340	0.660
rs28366266 lBF = `92.0158` Chr`6` : `32,559,753`	0.000	0.340	0.660
rs2858870 lBF = `95.1726` Chr`6` : `32,572,251`	0.000	0.341	0.659
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.659	0.341	0.000
rs28366191 lBF = `37.4806` Chr`6` : `32,364,190`	0.000	0.341	0.659
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.657	0.342	0.000
rs28383346 lBF = `95.8386` Chr`6` : `32,605,326`	0.000	0.343	0.656
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.656	0.344	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.654	0.345	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.653	0.347	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.650	0.350	0.000
rs28383172 lBF = `102.266` Chr`6` : `32,565,979`	0.000	0.350	0.650
rs2858308 lBF = `53.453` Chr`6` : `32,670,000`	0.000	0.350	0.650
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.650	0.350	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.647	0.353	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.646	0.354	0.000
rs2647015 lBF = `51.8138` Chr`6` : `32,664,093`	0.000	0.355	0.645
rs2647073 lBF = `96.5928` Chr`6` : `32,574,014`	0.000	0.356	0.644
rs2856705 lBF = `51.1465` Chr`6` : `32,670,956`	0.000	0.356	0.644
Affx-28497534 lBF = `50.5526` Chr`6` : `32,629,905`	0.000	0.358	0.642
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.642	0.358	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.638	0.362	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.638	0.362	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.637	0.363	0.000
rs56536369 lBF = `52.4476` Chr`6` : `32,726,788`	0.000	0.363	0.636
rs428081 lBF = `99.8327` Chr`6` : `29,906,512`	0.636	0.364	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.635	0.365	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.634	0.365	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.632	0.368	0.000
rs10212419 lBF = `1.19271` Chr`3` : `139,004,920`	0.000	0.368	0.632
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.631	0.368	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.630	0.370	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.630	0.370	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.623	0.377	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.622	0.377	0.000
rs6911777 lBF = `42.3826` Chr`6` : `32,409,996`	0.000	0.378	0.622
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.622	0.378	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.622	0.378	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.622	0.378	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.621	0.379	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.620	0.380	0.000
rs16822618 lBF = `42.8884` Chr`6` : `32,410,087`	0.000	0.381	0.619
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.618	0.382	0.000
rs2860580 lBF = `89.9686` Chr`6` : `29,906,691`	0.000	0.384	0.616
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.615	0.385	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.615	0.385	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.615	0.385	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.614	0.386	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.614	0.386	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.613	0.387	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.613	0.387	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.612	0.388	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.612	0.388	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.609	0.391	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.609	0.391	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.609	0.391	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.608	0.392	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.608	0.392	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.608	0.392	0.000
rs2647014 lBF = `52.8412` Chr`6` : `32,664,279`	0.000	0.393	0.607
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.603	0.397	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.603	0.397	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.602	0.398	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.601	0.399	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.601	0.399	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.599	0.400	0.000
rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	0.599	0.401	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.598	0.402	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.597	0.402	0.000
rs28366175 lBF = `37.4163` Chr`6` : `32,269,578`	0.000	0.404	0.595
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.595	0.404	0.000
rs2523721 lBF = `181.304` Chr`6` : `30,166,266`	0.593	0.406	0.000
rs885912 lBF = `179.285` Chr`6` : `30,174,633`	0.593	0.406	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.593	0.407	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.593	0.407	0.000
rs2021722 lBF = `181.818` Chr`6` : `30,174,131`	0.592	0.408	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.591	0.408	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.591	0.409	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.590	0.410	0.000
rs2524084 lBF = `215.728` Chr`6` : `31,241,639`	0.587	0.413	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.587	0.413	0.000
rs116567155 lBF = `9.80102` Chr`2` : `226,816,897`	0.587	0.413	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.586	0.414	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.586	0.414	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.585	0.415	0.000
rs2844773 lBF = `234.47` Chr`6` : `30,207,495`	0.584	0.416	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.582	0.418	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.582	0.418	0.000
rs114027487 lBF = `12.8754` Chr`6` : `31,236,571`	0.000	0.418	0.582
rs200483 lBF = `168.443` Chr`6` : `27,774,824`	0.581	0.418	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.581	0.419	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.580	0.420	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.579	0.421	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.579	0.421	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.578	0.422	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.578	0.422	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.577	0.423	0.000
rs3117761 lBF = `17.5062` Chr`1` : `177,722,715`	0.577	0.423	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.577	0.423	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.576	0.424	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.576	0.424	0.000
rs28383254 lBF = `97.2454` Chr`6` : `32,585,638`	0.000	0.425	0.575
rs200482 lBF = `164.144` Chr`6` : `27,773,904`	0.574	0.425	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.572	0.427	0.000
rs76086850 lBF = `17.5203` Chr`6` : `152,508,097`	0.571	0.429	0.000
rs370155 lBF = `164.302` Chr`6` : `27,782,031`	0.571	0.429	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.570	0.430	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.570	0.430	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.570	0.430	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.569	0.431	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.569	0.431	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.569	0.431	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.568	0.431	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.568	0.432	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.568	0.432	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.568	0.432	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.567	0.433	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.567	0.433	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.566	0.434	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.566	0.434	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.565	0.434	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.565	0.435	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.565	0.435	0.000
rs28383271 lBF = `95.9012` Chr`6` : `32,586,134`	0.000	0.435	0.565
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.564	0.435	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.564	0.436	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.564	0.436	0.000
rs2517618 lBF = `242.769` Chr`6` : `30,158,127`	0.564	0.436	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.564	0.436	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.564	0.436	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.563	0.437	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.563	0.437	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.562	0.437	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.561	0.439	0.000
rs114341818 lBF = `20.4453` Chr`6` : `30,844,081`	0.561	0.439	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.561	0.439	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.560	0.440	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.560	0.440	0.000
rs3129837 lBF = `231.864` Chr`6` : `30,306,306`	0.560	0.440	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.560	0.440	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.559	0.441	0.000
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.559	0.441	0.000
rs175597 lBF = `165.738` Chr`6` : `27,810,626`	0.559	0.441	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.558	0.442	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.558	0.442	0.000
rs3129702 lBF = `232.122` Chr`6` : `30,232,785`	0.558	0.442	0.000
rs6933271 lBF = `20.7519` Chr`6` : `30,867,830`	0.558	0.442	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.558	0.442	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.558	0.442	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.557	0.442	0.000
rs116009799 lBF = `21.8061` Chr`6` : `30,806,893`	0.557	0.443	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.557	0.443	0.000
rs114133116 lBF = `20.4412` Chr`6` : `30,824,290`	0.557	0.443	0.000
rs114466565 lBF = `19.7848` Chr`6` : `30,898,751`	0.557	0.443	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.556	0.443	0.000
rs3094073 lBF = `232.798` Chr`6` : `30,231,224`	0.556	0.444	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.556	0.444	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.556	0.444	0.000
rs3132658 lBF = `231.971` Chr`6` : `30,231,666`	0.556	0.444	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.556	0.444	0.000
rs3094630 lBF = `232.417` Chr`6` : `30,232,436`	0.555	0.444	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.555	0.444	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.555	0.444	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.555	0.444	0.000
rs2022083 lBF = `228.09` Chr`6` : `30,213,540`	0.555	0.445	0.000
rs417162 lBF = `103.393` Chr`6` : `29,916,505`	0.555	0.445	0.000
rs2975043 lBF = `102.582` Chr`6` : `29,918,734`	0.555	0.445	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.555	0.445	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.555	0.445	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.555	0.445	0.000
rs3132657 lBF = `228.489` Chr`6` : `30,233,513`	0.555	0.445	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.554	0.446	0.000
rs885916 lBF = `241.114` Chr`6` : `30,202,571`	0.554	0.446	0.000
rs200953 lBF = `163.948` Chr`6` : `27,837,267`	0.554	0.446	0.000
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.554	0.446	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.553	0.446	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.553	0.446	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.553	0.447	0.000
Affx-52368559 lBF = `10.3508` Chr`6` : `31,237,764`	0.000	0.447	0.553
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rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.549	0.450	0.000
Affx-28409853 lBF = `109.467` Chr`6` : `29,811,131`	0.549	0.451	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.549	0.451	0.000
rs2857208 lBF = `23.1071` Chr`6` : `32,743,103`	0.000	0.451	0.549
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.549	0.451	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.549	0.451	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.549	0.451	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.548	0.452	0.000
rs66833356 lBF = `6.86881` Chr`5` : `936,466`	0.548	0.452	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.548	0.452	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.548	0.452	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.548	0.452	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.548	0.452	0.000
rs74146301 lBF = `7.28286` Chr`10` : `76,990,646`	0.548	0.452	0.000
rs72703193 lBF = `5.14866` Chr`5` : `914,309`	0.548	0.452	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.548	0.452	0.000
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rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.547	0.453	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.547	0.453	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.547	0.453	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.546	0.454	0.000
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rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.545	0.454	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.545	0.455	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.545	0.455	0.000
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rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.544	0.456	0.000
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rs79019069 lBF = `4.63997` Chr`3` : `148,481,023`	0.543	0.457	0.000
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rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.541	0.459	0.000
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rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.540	0.460	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.540	0.460	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.540	0.460	0.000
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rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.539	0.461	0.000
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rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.538	0.461	0.000
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rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.538	0.462	0.000
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rs113454287 lBF = `16.3293` Chr`6` : `30,999,657`	0.537	0.463	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.536	0.463	0.000
rs118068306 lBF = `14.8013` Chr`3` : `14,273,131`	0.536	0.463	0.000
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rs17004598 lBF = `2.6091` Chr`21` : `45,078,556`	0.535	0.465	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.535	0.465	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.534	0.466	0.000
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rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.533	0.467	0.000
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rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.533	0.467	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.532	0.467	0.000
rs115890601 lBF = `18.5648` Chr`6` : `30,980,494`	0.532	0.468	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.532	0.468	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.532	0.468	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.532	0.468	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.532	0.468	0.000
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.532	0.468	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.531	0.469	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.531	0.469	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.531	0.469	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.531	0.469	0.000
rs115759551 lBF = `12.7074` Chr`1` : `156,963,356`	0.531	0.469	0.000
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rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.530	0.469	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.530	0.470	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.530	0.470	0.000
rs13197574 lBF = `194.513` Chr`6` : `28,060,239`	0.530	0.470	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.529	0.470	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.529	0.470	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.529	0.471	0.000
rs76150537 lBF = `15.7037` Chr`2` : `67,063,487`	0.529	0.471	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.529	0.471	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.529	0.471	0.000
rs971570 lBF = `184.724` Chr`6` : `30,172,513`	0.528	0.471	0.001
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.528	0.471	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.528	0.472	0.000
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rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.528	0.472	0.000
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rs12123821 lBF = `14.5195` Chr`1` : `152,179,152`	0.527	0.473	0.000
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rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.527	0.473	0.000
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rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.527	0.473	0.000
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rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.526	0.473	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.526	0.473	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.526	0.474	0.000
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rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.526	0.474	0.000
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rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.525	0.474	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.525	0.474	0.000
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rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.525	0.475	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.525	0.475	0.000
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rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.524	0.476	0.000
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rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.522	0.478	0.000
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rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.519	0.480	0.000
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rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.516	0.483	0.000
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rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.504	0.496	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.504	0.496	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.503	0.496	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.503	0.496	0.000
rs2523722 lBF = `183.887` Chr`6` : `30,165,273`	0.503	0.497	0.001
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.503	0.497	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.503	0.497	0.000
rs926552 lBF = `229.967` Chr`6` : `29,548,089`	0.502	0.497	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.502	0.497	0.000
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	0.502	0.497	0.000
rs7752963 lBF = `10.3614` Chr`6` : `31,200,334`	0.000	0.498	0.502
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.501	0.498	0.000
rs28367598 lBF = `11.2039` Chr`6` : `31,261,691`	0.000	0.499	0.501
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.501	0.499	0.000
rs114987209 lBF = `12.4094` Chr`1` : `195,017,692`	0.500	0.499	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.500	0.500	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.500	0.500	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.500	0.500	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.499	0.500	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.499	0.500	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.499	0.501	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.499	0.501	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.498	0.501	0.000
rs3129683 lBF = `143.965` Chr`6` : `29,286,670`	0.498	0.501	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	0.498	0.502	0.000
rs17885382 lBF = `49.2951` Chr`6` : `32,552,095`	0.000	0.502	0.498
rs72677908 lBF = `12.809` Chr`1` : `62,462,325`	0.498	0.502	0.000
rs28367687 lBF = `10.6064` Chr`6` : `31,275,211`	0.000	0.502	0.498
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.498	0.502	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.497	0.503	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.497	0.503	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.497	0.503	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.497	0.503	0.000
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.496	0.503	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.496	0.503	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.496	0.504	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.495	0.504	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.495	0.505	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.495	0.505	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.494	0.505	0.000
rs1633005 lBF = `151.483` Chr`6` : `29,764,472`	0.494	0.505	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.494	0.506	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.493	0.506	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.493	0.506	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.493	0.507	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.493	0.507	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.493	0.507	0.000
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.493	0.507	0.000
rs6656088 lBF = `5.87242` Chr`1` : `225,909,815`	0.492	0.507	0.000
Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	0.492	0.508	0.000
rs114355928 lBF = `63.2185` Chr`6` : `32,265,881`	0.492	0.508	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.492	0.508	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.492	0.508	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.492	0.508	0.000
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	0.492	0.508	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.491	0.509	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.491	0.509	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.491	0.509	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.490	0.509	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.490	0.510	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.490	0.510	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.490	0.510	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.490	0.510	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.490	0.510	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.490	0.510	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.490	0.510	0.000
rs6913377 lBF = `13.6987` Chr`6` : `31,243,495`	0.000	0.510	0.489
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.489	0.511	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.489	0.511	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.488	0.511	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.488	0.511	0.000
rs116161699 lBF = `8.96181` Chr`6` : `66,726,604`	0.488	0.512	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.488	0.512	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.488	0.512	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.488	0.512	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.488	0.512	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.487	0.513	0.000
rs17884390 lBF = `13.3379` Chr`6` : `31,238,495`	0.000	0.513	0.487
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.486	0.513	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.486	0.514	0.000
rs3129831 lBF = `214.164` Chr`6` : `30,234,627`	0.486	0.514	0.001
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.486	0.514	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.486	0.514	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.486	0.514	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.486	0.514	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.486	0.514	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.486	0.514	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.486	0.514	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.486	0.514	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.485	0.514	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.485	0.514	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2379

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1056

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.0571

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.7169

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.7165

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7165

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7133

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7098

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7010

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6998

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6980

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6932

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6930

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6929

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6864

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6805

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6804

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6800

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6776

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6704

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6669

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6653

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6614

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6585

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6557

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6535

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6473

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6437

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6390

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6369

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6296

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6275

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6149

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6099

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6058

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6009

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5972

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5956

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5949

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5925

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5924

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5917

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5881

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5854

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5699

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5497

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5493

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5450

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5443

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5414

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5402

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5372

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5332

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5309

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5196

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5180

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5153

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5083

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5080

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5026

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4990

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4930

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4918

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4860

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4767

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4741

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4669

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4667

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4638

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4553

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4545

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4541

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4527

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4526

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4512

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4332

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4224

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4217

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4167

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4147

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4138

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4049

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4038

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4016

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4015

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4015

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3990

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3987

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3945

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3933

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3879

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3844

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3824

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3773

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3769

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3769

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3708

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3653

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3614

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3574

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3561

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3531

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3516

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3446

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3399

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3378

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3268

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3245

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3241

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3161

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3114

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3005

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2938

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2936

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2913

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2857

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2786

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2659

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2651

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2413

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2392

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2375

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2352

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2322

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2233

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2108

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2067

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2014

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2009

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1991

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1989

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1965

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1965

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1935

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1914

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1888

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1828

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1705

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1641

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1640

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1632

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1617

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1585

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1512

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1402

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1373

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1364

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1342

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1302

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1217

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1186

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1182

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1181

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1157

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1099

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1079

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1004

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0973

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0894

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0811

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0810

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0647

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0628

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.0619

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0616

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0551

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`)