TreeWAS – [D16.0] Scapula and long bones of upper limb

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
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.749	0.251	0.000
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.655	0.345	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.650	0.350	0.000
rs116485796 lBF = `8.88422` Chr`3` : `133,612,103`	0.644	0.356	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.636	0.364	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.636	0.364	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.630	0.370	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.630	0.370	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.627	0.372	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.611	0.389	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.611	0.389	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.607	0.393	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.606	0.394	0.000
rs7828067 lBF = `8.85726` Chr`8` : `117,796,195`	0.606	0.394	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.605	0.395	0.000
Affx-31406520 lBF = `9.74408` Chr`8` : `117,783,975`	0.604	0.396	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.601	0.398	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.595	0.405	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.591	0.408	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.590	0.409	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.589	0.411	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.587	0.413	0.000
rs2853677 lBF = `56.6519` Chr`5` : `1,287,194`	0.586	0.414	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.582	0.418	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.582	0.418	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.579	0.420	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.578	0.422	0.000
rs1800057 lBF = `17.8656` Chr`11` : `108,143,456`	0.578	0.422	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.577	0.422	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.577	0.423	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.577	0.423	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.575	0.425	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.575	0.425	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.571	0.429	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.569	0.431	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.568	0.432	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.568	0.432	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.566	0.434	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.566	0.434	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.565	0.435	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.565	0.435	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.564	0.436	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.560	0.439	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.560	0.439	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.560	0.440	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.560	0.440	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.559	0.441	0.000
rs7545047 lBF = `5.30446` Chr`1` : `162,191,103`	0.559	0.441	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.559	0.441	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.558	0.442	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.557	0.442	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.557	0.443	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.556	0.444	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.556	0.444	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.555	0.444	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.554	0.446	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.553	0.446	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.552	0.448	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.552	0.448	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.551	0.449	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.551	0.449	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.551	0.449	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.551	0.449	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.551	0.449	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.551	0.449	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.550	0.450	0.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	0.550	0.450	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.550	0.450	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.547	0.452	0.000
rs2071285 lBF = `78.0918` Chr`6` : `32,180,431`	0.546	0.454	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.545	0.455	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.543	0.457	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.543	0.457	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.542	0.458	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.541	0.459	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.540	0.460	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.538	0.461	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.538	0.462	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.537	0.462	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.537	0.463	0.000
rs2823752 lBF = `12.8636` Chr`21` : `17,717,125`	0.537	0.463	0.000
rs8192575 lBF = `77.0171` Chr`6` : `32,166,384`	0.536	0.463	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.536	0.464	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.536	0.464	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.536	0.464	0.000
rs1920116 lBF = `10.5672` Chr`3` : `169,579,971`	0.000	0.464	0.536
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.534	0.465	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.534	0.466	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.533	0.467	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.532	0.468	0.000
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	0.531	0.469	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.530	0.470	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.530	0.470	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.530	0.470	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.529	0.471	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.528	0.472	0.000
rs2555469 lBF = `76.5082` Chr`6` : `32,179,494`	0.528	0.472	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.527	0.473	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.526	0.474	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.525	0.474	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.525	0.475	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.523	0.477	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.523	0.477	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.523	0.477	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.522	0.478	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.522	0.478	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.521	0.478	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.521	0.479	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.521	0.479	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.521	0.479	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.518	0.482	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.518	0.482	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.517	0.482	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.517	0.483	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.517	0.483	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.516	0.484	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.515	0.485	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.514	0.486	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.514	0.486	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.514	0.486	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.514	0.486	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.514	0.486	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.514	0.486	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.514	0.486	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.514	0.486	0.000
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.514	0.486	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.514	0.486	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.514	0.486	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.514	0.486	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.514	0.486	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.514	0.486	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.514	0.486	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.514	0.486	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.514	0.486	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.514	0.486	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.514	0.486	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.514	0.486	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.514	0.486	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.514	0.486	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.514	0.486	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.514	0.486	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.514	0.486	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.514	0.486	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.514	0.486	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.514	0.486	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.514	0.486	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.514	0.486	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.514	0.486	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.514	0.486	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.514	0.486	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.514	0.486	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.513	0.486	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.513	0.486	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.513	0.486	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.513	0.486	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.513	0.486	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.513	0.486	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.513	0.486	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.513	0.486	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.513	0.486	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.513	0.487	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.513	0.487	0.000
rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.513	0.487	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.513	0.487	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.513	0.487	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.513	0.487	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.513	0.487	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.513	0.487	0.000
rs114249449 lBF = `15.308` Chr`1` : `39,257,678`	0.513	0.487	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.513	0.487	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.513	0.487	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.513	0.487	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.513	0.487	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.513	0.487	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.513	0.487	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.513	0.487	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.513	0.487	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.513	0.487	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.513	0.487	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.513	0.487	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.513	0.487	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.512	0.487	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.512	0.487	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.512	0.487	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.512	0.487	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.512	0.488	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.512	0.488	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.512	0.488	0.000
rs117250828 lBF = `5.12033` Chr`11` : `12,193,257`	0.512	0.488	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.512	0.488	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.512	0.488	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.512	0.488	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.512	0.488	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.512	0.488	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.512	0.488	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.512	0.488	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.512	0.488	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.512	0.488	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.512	0.488	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.512	0.488	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.512	0.488	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.512	0.488	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.512	0.488	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.512	0.488	0.000
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rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.490	0.510	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.490	0.510	0.000
rs72878024 lBF = `21.0711` Chr`11` : `199,492`	0.000	0.510	0.490
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.490	0.510	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.489	0.510	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.489	0.510	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.489	0.510	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.489	0.511	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.489	0.511	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.489	0.511	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.489	0.511	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.489	0.511	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.489	0.511	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.488	0.511	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.488	0.511	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.488	0.512	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.488	0.512	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.488	0.512	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.487	0.512	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.487	0.513	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.487	0.513	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.487	0.513	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.487	0.513	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.486	0.513	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.486	0.514	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.486	0.514	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.486	0.514	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.486	0.514	0.000
rs115138709 lBF = `23.7047` Chr`6` : `31,430,600`	0.486	0.514	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.485	0.514	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.485	0.514	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.485	0.514	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.485	0.515	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.485	0.515	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.485	0.515	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.484	0.515	0.000
rs78686102 lBF = `9.9163` Chr`5` : `56,152,795`	0.484	0.515	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.484	0.516	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.484	0.516	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.484	0.516	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.483	0.516	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.483	0.516	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.483	0.517	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.483	0.517	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.483	0.517	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.482	0.517	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.482	0.517	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.482	0.518	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.482	0.518	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.482	0.518	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.481	0.519	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.481	0.519	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.481	0.519	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.481	0.519	0.000
rs17156153 lBF = `22.256` Chr`11` : `270,514`	0.000	0.519	0.481
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.480	0.519	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.480	0.519	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.480	0.520	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.480	0.520	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.479	0.521	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.479	0.521	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.479	0.521	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.479	0.521	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.479	0.521	0.000
rs2229882 lBF = `21.8948` Chr`5` : `56,168,712`	0.479	0.521	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.479	0.521	0.000
rs2280543 lBF = `7.77563` Chr`11` : `203,788`	0.000	0.521	0.479
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.478	0.521	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.478	0.522	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.478	0.522	0.000
rs115686841 lBF = `19.4793` Chr`1` : `168,849,245`	0.478	0.522	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.478	0.522	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.478	0.522	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.477	0.522	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.477	0.523	0.000
rs76570619 lBF = `1.1837` Chr`1` : `113,246,730`	0.477	0.523	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.477	0.523	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.477	0.523	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.477	0.523	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.476	0.523	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.476	0.523	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.476	0.524	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.476	0.524	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.476	0.524	0.000
rs12655019 lBF = `5.66192` Chr`5` : `56,195,790`	0.476	0.524	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.475	0.524	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.475	0.525	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.475	0.525	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.475	0.525	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.475	0.525	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.474	0.525	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.474	0.526	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.474	0.526	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.474	0.526	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.2965

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1364

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8982

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8758

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8508

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7783

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7389

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7292

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7164

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7158

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7132

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7131

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7075

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7062

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7002

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6992

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6988

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6911

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6885

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6868

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6793

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6762

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6732

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6719

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6679

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6663

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6655

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6535

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6489

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6479

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6464

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6451

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6437

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6425

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6421

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6359

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6359

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6338

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6333

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6323

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6293

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6279

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6267

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6261

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6223

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6221

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6210

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6205

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6191

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6163

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6152

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6137

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6132

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6125

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6110

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6046

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6008

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5995

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5986

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5967

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5949

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5941

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5888

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5823

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5820

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5787

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5755

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5755

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5727

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5716

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5705

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5696

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5680

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5646

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5559

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5555

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5534

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5504

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5474

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5470

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5411

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5404

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5354

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5200

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5140

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5140

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5139

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5138

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5138

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5119

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5118

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5115

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5111

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5097

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5058

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5057

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5037

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5037

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4954

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4947

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4897

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4788

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4775

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4693

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.4645

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4594

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4449

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4331

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4288

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4007

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3949

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3927

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3924

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3882

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3626

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3514

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3481

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3317

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3204

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3049

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2777

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2772

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2567

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2562

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2542

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2533

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2347

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2137

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1986

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1899

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1701

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1671

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1589

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1045

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1025

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0933

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0894

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0823

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0819

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0786

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0742

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0706

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0691

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0686

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0561

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0554

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0549

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0511

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`)