TreeWAS – [T58] Toxic effect of carbon monoxide

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
rs6569364 lBF = `7.02344` Chr`6` : `124,158,252`	0.923	0.077	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.895	0.105	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.894	0.106	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.846	0.154	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.829	0.171	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.817	0.183	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.811	0.189	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.811	0.189	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.810	0.190	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.810	0.190	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.809	0.191	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.805	0.195	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.804	0.196	0.000
rs75128058 lBF = `8.3914` Chr`6` : `52,978,053`	0.799	0.201	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.797	0.203	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.795	0.205	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.789	0.211	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.789	0.211	0.000
rs10046456 lBF = `6.50753` Chr`6` : `151,125,251`	0.787	0.213	0.000
rs9267673 lBF = `79.7719` Chr`6` : `31,883,679`	0.780	0.220	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.778	0.222	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.776	0.224	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.776	0.224	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.775	0.225	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.775	0.225	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.773	0.227	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.771	0.229	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.771	0.229	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	0.769	0.230	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.769	0.231	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.768	0.232	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.768	0.232	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.768	0.232	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.766	0.234	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.766	0.234	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.765	0.235	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.765	0.235	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.763	0.237	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.763	0.237	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.762	0.238	0.000
rs9267536 lBF = `15.2088` Chr`6` : `31,651,194`	0.761	0.239	0.000
rs13217108 lBF = `12.4741` Chr`6` : `31,795,140`	0.761	0.239	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.761	0.239	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.761	0.239	0.000
rs73868774 lBF = `7.03284` Chr`3` : `143,032,574`	0.760	0.240	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.758	0.242	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.758	0.242	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.757	0.243	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.757	0.243	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.756	0.244	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.754	0.245	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.754	0.246	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.753	0.247	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.753	0.247	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.752	0.248	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.751	0.248	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.751	0.249	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.751	0.249	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.750	0.250	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.750	0.250	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.749	0.251	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.749	0.251	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.749	0.251	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.747	0.253	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.747	0.253	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.746	0.254	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.746	0.254	0.000
rs12193701 lBF = `15.4612` Chr`6` : `31,331,617`	0.746	0.254	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.746	0.254	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.745	0.255	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.745	0.255	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.744	0.255	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.743	0.257	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.743	0.257	0.000
rs7729458 lBF = `5.89518` Chr`5` : `2,799,100`	0.742	0.258	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.742	0.258	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.742	0.258	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.741	0.259	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.741	0.259	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.741	0.259	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.740	0.260	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.739	0.261	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.736	0.264	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.735	0.265	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.735	0.265	0.000
rs112243387 lBF = `5.91351` Chr`21` : `37,649,206`	0.734	0.265	0.000
rs112008915 lBF = `8.98796` Chr`1` : `243,118,409`	0.734	0.266	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.734	0.266	0.000
rs9267532 lBF = `5.4348` Chr`6` : `31,639,979`	0.734	0.266	0.000
rs12215963 lBF = `20.8881` Chr`6` : `31,138,619`	0.734	0.266	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.732	0.268	0.000
rs36055487 lBF = `21.1592` Chr`6` : `31,327,481`	0.732	0.268	0.000
rs116738814 lBF = `21.0352` Chr`6` : `31,326,566`	0.731	0.269	0.000
rs12196211 lBF = `21.642` Chr`6` : `31,449,041`	0.731	0.269	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.730	0.270	0.000
rs33941312 lBF = `22.8037` Chr`6` : `31,084,191`	0.730	0.270	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.730	0.270	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.729	0.271	0.000
rs6799705 lBF = `3.95758` Chr`3` : `35,982,130`	0.727	0.273	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.727	0.273	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.726	0.274	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.726	0.274	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.725	0.275	0.000
rs71563311 lBF = `20.1258` Chr`6` : `31,136,994`	0.725	0.275	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.725	0.275	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.724	0.276	0.000
rs116269252 lBF = `19.828` Chr`6` : `31,326,790`	0.724	0.276	0.000
rs13214487 lBF = `18.9923` Chr`6` : `31,322,706`	0.723	0.277	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.723	0.277	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.723	0.277	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.723	0.277	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.722	0.278	0.000
rs13214791 lBF = `16.0998` Chr`6` : `31,322,762`	0.722	0.278	0.000
rs36001438 lBF = `20.6978` Chr`6` : `31,186,378`	0.722	0.278	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.721	0.279	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.721	0.279	0.000
rs41257954 lBF = `20.527` Chr`6` : `31,138,310`	0.720	0.280	0.000
rs2233940 lBF = `19.3841` Chr`6` : `31,107,922`	0.720	0.280	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.718	0.282	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.718	0.282	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.717	0.283	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.717	0.283	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.717	0.283	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.717	0.283	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.716	0.284	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.716	0.284	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.715	0.285	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.715	0.285	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.715	0.285	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.714	0.286	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.713	0.287	0.000
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.713	0.287	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.712	0.288	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.712	0.288	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.711	0.289	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.711	0.289	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.711	0.289	0.000
rs59104984 lBF = `9.35952` Chr`3` : `135,322,531`	0.711	0.289	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.709	0.291	0.000
rs17206232 lBF = `2.6394` Chr`5` : `64,433,400`	0.709	0.291	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.709	0.291	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.708	0.291	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.709	0.291	0.000
rs71561142 lBF = `5.69059` Chr`6` : `8,859,635`	0.708	0.291	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.708	0.292	0.000
rs2229092 lBF = `13.1652` Chr`6` : `31,540,757`	0.707	0.292	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.707	0.292	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.707	0.293	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.706	0.294	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.706	0.294	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.705	0.294	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.705	0.295	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.704	0.295	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.296	0.704
rs12222221 lBF = `8.0928` Chr`11` : `49,488,707`	0.704	0.296	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.704	0.296	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.704	0.296	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.703	0.297	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.703	0.297	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.703	0.297	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.702	0.297	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.702	0.298	0.000
rs12515737 lBF = `5.78667` Chr`5` : `80,231,611`	0.702	0.298	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.702	0.298	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.702	0.298	0.000
rs17504301 lBF = `5.6678` Chr`5` : `123,705,763`	0.701	0.298	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.701	0.299	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.701	0.299	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.700	0.300	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.699	0.301	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.699	0.301	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.699	0.301	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.699	0.301	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.699	0.301	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.698	0.301	0.000
rs6930572 lBF = `17.9712` Chr`6` : `31,428,169`	0.698	0.301	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.698	0.302	0.000
rs34441152 lBF = `19.4411` Chr`6` : `31,410,072`	0.698	0.302	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.698	0.302	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.698	0.302	0.000
rs12202207 lBF = `21.8317` Chr`6` : `31,053,843`	0.697	0.303	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.697	0.303	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.697	0.303	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.696	0.304	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.696	0.304	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.696	0.304	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.696	0.304	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.695	0.305	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.695	0.305	0.000
rs62243877 lBF = `8.18156` Chr`3` : `62,175,417`	0.694	0.306	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.694	0.306	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.694	0.306	0.000
rs79464052 lBF = `2.59355` Chr`5` : `141,035,174`	0.694	0.306	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.693	0.306	0.000
rs12213831 lBF = `20.0798` Chr`6` : `31,380,601`	0.693	0.307	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.693	0.307	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.693	0.307	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.693	0.307	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.692	0.308	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.692	0.308	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.692	0.308	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.692	0.308	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.692	0.308	0.000
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rs11575907 lBF = `33.192` Chr`6` : `32,782,112`	0.654	0.346	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.654	0.346	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.654	0.346	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.654	0.346	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.654	0.346	0.000
rs75030245 lBF = `16.7045` Chr`1` : `209,331,985`	0.653	0.346	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.653	0.347	0.000
rs10179686 lBF = `6.26048` Chr`2` : `135,214,570`	0.653	0.347	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.653	0.347	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.652	0.347	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.652	0.348	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.652	0.348	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.652	0.348	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.652	0.348	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.652	0.348	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.652	0.348	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.652	0.348	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.652	0.348	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.652	0.348	0.000
rs2893857 lBF = `5.42702` Chr`6` : `26,474,061`	0.651	0.349	0.000
rs28732193 lBF = `69.6869` Chr`6` : `32,306,922`	0.651	0.349	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.651	0.349	0.000
rs75908454 lBF = `2.22788` Chr`6` : `169,970,623`	0.651	0.349	0.000
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.650	0.350	0.000
rs28732201 lBF = `63.8841` Chr`6` : `32,350,454`	0.650	0.350	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.650	0.350	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.650	0.350	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.650	0.350	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.650	0.350	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.650	0.350	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.650	0.350	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.649	0.350	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.649	0.351	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.649	0.351	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.649	0.351	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.351	0.649
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.649	0.351	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.649	0.351	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.649	0.351	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.649	0.351	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.649	0.351	0.000
rs6751558 lBF = `9.74288` Chr`2` : `146,592,046`	0.649	0.351	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.648	0.351	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.648	0.351	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.648	0.351	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.648	0.351	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.648	0.352	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.648	0.352	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.648	0.352	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.648	0.352	0.000
rs117191802 lBF = `3.84152` Chr`11` : `78,966,419`	0.648	0.352	0.000
rs116039626 lBF = `1.7111` Chr`2` : `236,353,735`	0.648	0.352	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.648	0.352	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.648	0.352	0.000
rs2268361 lBF = `2.13303` Chr`2` : `49,201,612`	0.648	0.352	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.647	0.353	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.647	0.353	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.647	0.353	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.647	0.353	0.000
rs10216564 lBF = `11.5477` Chr`8` : `77,475,130`	0.647	0.353	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.647	0.353	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.647	0.353	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.647	0.353	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.646	0.353	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.646	0.354	0.000
rs9378200 lBF = `76.8929` Chr`6` : `31,572,927`	0.646	0.354	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.646	0.354	0.000
rs115272033 lBF = `11.1478` Chr`6` : `31,850,807`	0.646	0.354	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.645	0.354	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.645	0.355	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.645	0.355	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.645	0.355	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.645	0.355	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.645	0.355	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.644	0.355	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.644	0.355	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.644	0.356	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.644	0.356	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.644	0.356	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.644	0.356	0.000
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.644	0.356	0.000
rs8192583 lBF = `58.0993` Chr`6` : `32,163,274`	0.644	0.356	0.000
rs73336408 lBF = `8.76344` Chr`21` : `23,343,776`	0.644	0.356	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.643	0.357	0.000
rs2715502 lBF = `0.81263` Chr`4` : `179,447,733`	0.000	0.357	0.643
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.643	0.357	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.643	0.357	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.643	0.357	0.000
rs4151671 lBF = `17.276` Chr`6` : `31,918,903`	0.643	0.357	0.000
rs3817964 lBF = `26.9743` Chr`6` : `32,367,997`	0.643	0.357	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.643	0.357	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.643	0.357	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.643	0.357	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.643	0.357	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.643	0.357	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.642	0.357	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6846

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.6724

Cluster X0286

log Bayes Factor = 30.6663

contains 3 variants

0.0822

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9905

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9730

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9703

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9635

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9587

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9571

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9429

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9416

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9363

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9348

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9247

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.9247

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9178

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9065

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9060

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8902

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8888

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8863

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8861

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8857

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8846

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8839

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8826

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8783

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8746

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8746

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8716

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8658

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8650

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8602

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8599

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8533

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8531

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8410

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8386

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8369

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8351

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8343

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8298

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8255

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8242

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8186

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8159

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8148

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8145

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8137

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8111

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8072

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8057

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8028

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8017

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7978

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7943

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7891

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7857

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7798

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7776

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7770

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7749

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7733

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7728

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7719

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7711

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7707

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7693

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7693

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7691

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7590

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7587

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7493

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7437

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7371

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7371

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7325

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7324

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7255

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7218

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7172

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7168

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7166

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7161

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7160

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7160

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7156

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7145

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7140

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7128

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7125

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7119

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7095

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7089

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7030

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7013

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6996

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6979

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6978

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6972

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6970

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6967

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6967

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6959

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6940

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6939

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6928

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6841

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6830

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6825

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6803

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6802

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6793

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6783

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6769

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6748

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6745

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6703

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6697

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6644

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6632

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6618

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6610

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6609

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6606

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6599

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6557

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6552

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6537

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6530

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.6517

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6491

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6433

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6432

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6426

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6419

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6396

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6384

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6378

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6342

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6337

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6295

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6213

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.6196

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6186

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6165

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6134

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6102

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6059

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6059

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6014

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5937

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5932

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5910

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5891

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5879

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5856

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5844

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5821

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5820

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5773

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5753

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5743

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5735

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5723

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5672

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5657

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5633

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.5595

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5539

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5502

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5488

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5442

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5408

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5362

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5343

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5313

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5278

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5184

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5184

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5175

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5154

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5146

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5116

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5042

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4964

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4947

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.4936

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4819

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4813

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4678

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4669

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4655

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4650

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4625

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4608

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4573

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4533

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4474

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4418

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4376

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4180

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4163

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4159

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4154

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4134

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4120

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3969

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3696

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3653

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2617

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2531

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1772

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1679

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0903

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.0767

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`)