TreeWAS – [B49] Unspecified mycosis

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
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.866	0.134	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.859	0.141	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.835	0.165	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.833	0.167	0.000
rs12563513 lBF = `19.0633` Chr`1` : `114,547,798`	0.831	0.169	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.822	0.178	0.000
rs72829251 lBF = `5.09993` Chr`6` : `7,911,982`	0.820	0.180	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.818	0.182	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.814	0.186	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.811	0.189	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.810	0.190	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.809	0.191	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.802	0.198	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.802	0.198	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.801	0.199	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.801	0.199	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.799	0.201	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.798	0.202	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.796	0.204	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.791	0.209	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.791	0.209	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.789	0.211	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.789	0.211	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.789	0.211	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.788	0.212	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.787	0.213	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.785	0.215	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.784	0.216	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.783	0.217	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.780	0.220	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.780	0.220	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.777	0.223	0.000
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.774	0.226	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.774	0.226	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.774	0.226	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.773	0.227	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.773	0.227	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.771	0.229	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.770	0.230	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.769	0.231	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.768	0.232	0.000
rs11964561 lBF = `3.6893` Chr`6` : `8,169,800`	0.767	0.233	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.767	0.233	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.767	0.233	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.765	0.235	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.762	0.237	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.762	0.238	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.759	0.241	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.759	0.241	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.757	0.243	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.757	0.243	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.756	0.244	0.000
rs3094694 lBF = `198.27` Chr`6` : `30,451,904`	0.755	0.245	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.754	0.246	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.752	0.248	0.000
rs3117137 lBF = `112.986` Chr`6` : `32,309,911`	0.750	0.250	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.750	0.250	0.000
rs2506933 lBF = `1.94426` Chr`6` : `93,615,450`	0.749	0.251	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.749	0.251	0.000
rs3130048 lBF = `290.421` Chr`6` : `31,613,739`	0.749	0.251	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.749	0.251	0.000
rs3094176 lBF = `164.456` Chr`6` : `29,821,270`	0.748	0.252	0.000
rs2240071 lBF = `127.159` Chr`6` : `30,070,932`	0.748	0.252	0.000
rs10511052 lBF = `1.92327` Chr`3` : `76,725,903`	0.748	0.252	0.000
rs1110446 lBF = `126.145` Chr`6` : `30,070,937`	0.748	0.252	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.747	0.253	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.746	0.254	0.000
rs2747421 lBF = `99.6117` Chr`6` : `29,645,118`	0.746	0.254	0.000
rs10046456 lBF = `6.50753` Chr`6` : `151,125,251`	0.746	0.254	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.746	0.254	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.745	0.255	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.745	0.255	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.744	0.256	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.744	0.256	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.744	0.256	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.744	0.256	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.744	0.256	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.743	0.257	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.742	0.258	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.742	0.258	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.742	0.258	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.739	0.261	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.738	0.262	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.737	0.263	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.737	0.263	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.737	0.263	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.737	0.263	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.737	0.263	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.736	0.264	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.736	0.264	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.736	0.264	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.735	0.264	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.735	0.265	0.000
rs74691586 lBF = `9.21408` Chr`1` : `161,245,487`	0.735	0.265	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.735	0.265	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.734	0.266	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.734	0.266	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.733	0.267	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.733	0.267	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.732	0.267	0.000
rs6934690 lBF = `14.5953` Chr`6` : `54,054,686`	0.732	0.268	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.732	0.268	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.731	0.269	0.000
rs2476601 lBF = `151.016` Chr`1` : `114,377,568`	0.731	0.269	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.731	0.269	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.731	0.269	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.730	0.270	0.000
rs114679905 lBF = `9.02093` Chr`3` : `135,418,841`	0.729	0.270	0.000
rs1264709 lBF = `168.365` Chr`6` : `30,056,476`	0.728	0.272	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.728	0.272	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.727	0.273	0.000
rs2021722 lBF = `181.818` Chr`6` : `30,174,131`	0.727	0.273	0.000
rs2523721 lBF = `181.304` Chr`6` : `30,166,266`	0.727	0.273	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.726	0.274	0.000
rs7726414 lBF = `7.38602` Chr`5` : `133,431,834`	0.726	0.274	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.726	0.274	0.000
rs2517862 lBF = `169.608` Chr`6` : `29,821,937`	0.726	0.274	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.725	0.275	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.725	0.275	0.000
Affx-28417083 lBF = `161.03` Chr`6` : `29,910,663`	0.725	0.275	0.000
rs17032011 lBF = `40.5088` Chr`1` : `114,475,350`	0.724	0.276	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.724	0.276	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.724	0.276	0.000
rs2517645 lBF = `222.009` Chr`6` : `30,122,623`	0.724	0.276	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.724	0.276	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.724	0.276	0.000
rs971570 lBF = `184.724` Chr`6` : `30,172,513`	0.723	0.277	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.723	0.277	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.722	0.278	0.000
rs885912 lBF = `179.285` Chr`6` : `30,174,633`	0.722	0.278	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.722	0.278	0.000
rs76419373 lBF = `6.94732` Chr`2` : `105,078,508`	0.722	0.278	0.000
rs28732081 lBF = `101.638` Chr`6` : `31,002,343`	0.721	0.279	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.721	0.279	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.721	0.279	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.720	0.280	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.720	0.280	0.000
rs375984 lBF = `101.301` Chr`6` : `29,644,502`	0.719	0.281	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.719	0.281	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.719	0.281	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.718	0.282	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.718	0.282	0.000
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	0.717	0.283	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.717	0.283	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.717	0.283	0.000
rs3129063 lBF = `114.119` Chr`6` : `29,645,613`	0.716	0.284	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.716	0.284	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.716	0.284	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.716	0.284	0.000
rs2524005 lBF = `110.105` Chr`6` : `29,899,677`	0.715	0.285	0.000
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	0.714	0.286	0.000
rs6679677 lBF = `148.434` Chr`1` : `114,303,808`	0.714	0.286	0.000
rs2734986 lBF = `167.606` Chr`6` : `29,818,568`	0.714	0.286	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.713	0.287	0.000
rs429479 lBF = `220.258` Chr`6` : `29,372,323`	0.713	0.287	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.712	0.287	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.712	0.288	0.000
rs3130662 lBF = `261.984` Chr`6` : `30,713,808`	0.712	0.288	0.000
rs3129012 lBF = `168.733` Chr`6` : `29,988,642`	0.711	0.289	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.711	0.289	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.711	0.289	0.000
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.711	0.289	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.711	0.289	0.000
rs2535238 lBF = `100.36` Chr`6` : `29,645,038`	0.711	0.289	0.000
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.711	0.289	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.710	0.290	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.710	0.290	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.709	0.290	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.709	0.291	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.709	0.291	0.000
rs356971 lBF = `170.044` Chr`6` : `29,979,797`	0.708	0.292	0.000
rs6922431 lBF = `22.0345` Chr`6` : `31,465,030`	0.000	0.292	0.708
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.708	0.292	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.707	0.293	0.000
rs929157 lBF = `232.182` Chr`6` : `30,137,209`	0.707	0.293	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.707	0.293	0.000
rs885916 lBF = `241.114` Chr`6` : `30,202,571`	0.706	0.294	0.000
rs2517613 lBF = `243.064` Chr`6` : `30,165,662`	0.706	0.294	0.000
rs2523720 lBF = `241.707` Chr`6` : `30,166,886`	0.706	0.294	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.706	0.294	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.705	0.295	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.705	0.295	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.705	0.295	0.000
rs3132659 lBF = `232.342` Chr`6` : `30,231,330`	0.704	0.295	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.705	0.295	0.000
rs35533335 lBF = `14.4465` Chr`1` : `32,280,369`	0.704	0.296	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.704	0.296	0.000
rs112288323 lBF = `2.33034` Chr`2` : `26,228,207`	0.704	0.296	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.703	0.296	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.703	0.297	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.703	0.297	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.703	0.297	0.000
rs9258593 lBF = `108.321` Chr`6` : `29,819,599`	0.703	0.297	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.702	0.298	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.702	0.298	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.702	0.298	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.702	0.298	0.000
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.701	0.299	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.701	0.299	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.701	0.299	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.701	0.299	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.701	0.299	0.000
rs3094072 lBF = `229.1` Chr`6` : `30,231,755`	0.701	0.299	0.000
rs3094073 lBF = `232.798` Chr`6` : `30,231,224`	0.701	0.299	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.700	0.300	0.000
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rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.666	0.333	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.666	0.334	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.666	0.334	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.666	0.334	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.665	0.334	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.665	0.334	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.665	0.335	0.000
rs117091124 lBF = `7.58899` Chr`6` : `94,239,513`	0.665	0.335	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.665	0.335	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.665	0.335	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.664	0.336	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.664	0.336	0.000
rs17132883 lBF = `3.40941` Chr`5` : `110,502,429`	0.664	0.336	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.664	0.336	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.664	0.336	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.663	0.336	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	0.663	0.337	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.663	0.337	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.663	0.337	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.663	0.337	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.662	0.337	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.662	0.338	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.662	0.338	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.662	0.338	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.662	0.338	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.662	0.338	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.662	0.338	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.661	0.338	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.661	0.338	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.661	0.339	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.661	0.339	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.661	0.339	0.000
rs10511598 lBF = `5.70461` Chr`9` : `14,841,633`	0.661	0.339	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.661	0.339	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.660	0.339	0.000
rs16891235 lBF = `94.1744` Chr`6` : `26,017,542`	0.660	0.339	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.660	0.340	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.660	0.340	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.660	0.340	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.660	0.340	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.660	0.340	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.660	0.340	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.660	0.340	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.660	0.340	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.660	0.340	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.660	0.340	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.660	0.340	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.660	0.340	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.660	0.340	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.660	0.340	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.660	0.340	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.659	0.340	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.659	0.341	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.659	0.341	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.659	0.341	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.659	0.341	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.659	0.341	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.659	0.341	0.000
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.659	0.341	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.658	0.341	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.658	0.342	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.658	0.342	0.000
rs2524078 lBF = `156.439` Chr`6` : `31,242,649`	0.658	0.342	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.658	0.342	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.658	0.342	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.658	0.342	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.657	0.343	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.657	0.343	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.656	0.343	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.656	0.344	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.656	0.344	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.656	0.344	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.656	0.344	0.000
rs743400 lBF = `25.5334` Chr`6` : `31,607,111`	0.000	0.344	0.656
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.655	0.344	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.655	0.344	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.655	0.345	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.655	0.345	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.654	0.345	0.000
rs3129702 lBF = `232.122` Chr`6` : `30,232,785`	0.654	0.345	0.000
rs2517576 lBF = `219.555` Chr`6` : `30,815,035`	0.654	0.346	0.000
rs2844657 lBF = `213.204` Chr`6` : `30,829,522`	0.654	0.346	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.654	0.346	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.654	0.346	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.654	0.346	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.654	0.346	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.654	0.346	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.654	0.346	0.000
rs2844659 lBF = `220.674` Chr`6` : `30,824,532`	0.654	0.346	0.000
rs259943 lBF = `84.4679` Chr`6` : `30,015,330`	0.654	0.346	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.653	0.346	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

0.2608

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2391

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1715

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9934

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9862

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9849

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9842

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9809

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9744

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9720

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9688

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9661

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9576

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9566

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9494

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9440

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9409

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9392

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9373

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9361

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9346

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9337

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9326

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9320

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9274

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9271

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9249

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9235

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9193

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9153

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9152

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9149

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9148

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9118

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9113

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9090

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9071

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9052

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9010

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9003

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9002

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8990

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8964

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8933

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8916

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8912

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8906

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8897

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8876

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8868

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8826

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8760

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8736

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8695

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8692

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8690

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8684

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8678

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8633

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8620

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8613

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8578

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8537

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8531

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8496

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8458

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8452

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8397

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8374

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8358

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8356

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8348

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8303

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8236

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8186

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8173

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8145

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8121

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8115

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8075

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8056

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8052

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8040

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8036

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8025

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8019

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8004

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7996

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7995

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7967

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7958

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7933

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7932

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7927

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7926

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7910

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7906

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7879

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7872

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7853

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7849

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7822

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7815

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7759

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7735

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7666

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7663

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7646

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7610

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7551

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7504

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7500

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7490

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7456

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7455

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7351

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7312

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7297

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7215

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7198

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7168

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7167

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7167

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7163

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7137

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7132

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7124

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7123

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7114

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7110

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7105

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7049

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7031

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6985

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6914

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6887

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6848

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6839

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6828

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6820

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6686

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6685

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6658

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6564

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6527

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6482

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6455

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6437

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6406

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6372

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6356

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6225

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6168

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6159

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6144

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6106

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6099

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6016

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6013

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6001

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5948

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5938

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5894

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5894

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5842

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5797

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5792

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5725

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5703

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5675

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5657

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5508

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5492

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5491

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5077

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5073

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5036

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4988

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4637

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4610

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4521

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4445

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4385

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4321

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4232

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4123

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4123

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4065

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4050

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3939

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3860

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3845

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3678

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3613

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3474

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3408

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2965

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2896

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2752

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2678

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2529

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2289

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2131

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2036

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1917

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1450

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1443

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1296

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1285

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1152

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1057

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1036

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.0922

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.0767

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0703

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0522

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`)