TreeWAS – [D62] Acute posthaemorrhagic anaemia

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
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.951	0.049	0.000
rs10931898 lBF = `8.93071` Chr`2` : `201,171,191`	0.944	0.056	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.943	0.057	0.000
rs2251396 lBF = `222.188` Chr`6` : `31,364,707`	0.932	0.068	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.920	0.080	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.915	0.085	0.000
rs3000140 lBF = `11.5012` Chr`1` : `80,000,648`	0.909	0.091	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.906	0.093	0.000
rs2523454 lBF = `206.037` Chr`6` : `31,367,865`	0.904	0.096	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.901	0.099	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.899	0.101	0.000
rs3135356 lBF = `253.703` Chr`6` : `32,391,516`	0.896	0.104	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.893	0.107	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.888	0.112	0.000
rs2853953 lBF = `290.388` Chr`6` : `31,235,505`	0.887	0.113	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.884	0.116	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.884	0.116	0.000
Affx-28446136 lBF = `288.862` Chr`6` : `31,233,510`	0.881	0.119	0.000
rs1793891 lBF = `283.59` Chr`6` : `31,221,698`	0.881	0.119	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.880	0.120	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.880	0.120	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.878	0.122	0.000
rs2523451 lBF = `189.434` Chr`6` : `31,369,151`	0.877	0.123	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.875	0.125	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.874	0.126	0.000
rs9268231 lBF = `109.419` Chr`6` : `32,287,754`	0.874	0.126	0.000
rs3135351 lBF = `256.753` Chr`6` : `32,392,945`	0.872	0.128	0.000
Affx-28409853 lBF = `109.467` Chr`6` : `29,811,131`	0.872	0.128	0.000
rs1611133 lBF = `107.143` Chr`6` : `29,809,382`	0.868	0.132	0.000
rs1480380 lBF = `75.3568` Chr`6` : `32,913,246`	0.867	0.133	0.000
rs9501077 lBF = `58.887` Chr`6` : `31,167,512`	0.000	0.134	0.866
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.860	0.140	0.000
rs2395171 lBF = `254.469` Chr`6` : `32,394,537`	0.859	0.141	0.000
rs1610601 lBF = `101.389` Chr`6` : `29,700,183`	0.856	0.144	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.855	0.145	0.000
rs3093988 lBF = `129.906` Chr`6` : `31,492,453`	0.853	0.147	0.000
rs9268534 lBF = `250.564` Chr`6` : `32,383,307`	0.850	0.150	0.000
rs7762933 lBF = `61.2734` Chr`6` : `31,162,520`	0.000	0.150	0.850
rs3130564 lBF = `267.188` Chr`6` : `31,101,674`	0.850	0.150	0.000
rs1265181 lBF = `324.743` Chr`6` : `31,155,785`	0.850	0.150	0.000
rs2239805 lBF = `253.83` Chr`6` : `32,411,376`	0.846	0.154	0.000
rs4713447 lBF = `61.9699` Chr`6` : `31,162,963`	0.000	0.155	0.845
rs3129887 lBF = `251.48` Chr`6` : `32,410,691`	0.845	0.155	0.000
rs9263872 lBF = `61.8516` Chr`6` : `31,170,608`	0.000	0.157	0.843
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.842	0.158	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.837	0.163	0.000
rs3135393 lBF = `255.761` Chr`6` : `32,408,842`	0.837	0.163	0.000
rs2239806 lBF = `250.007` Chr`6` : `32,411,307`	0.837	0.163	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.836	0.164	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.835	0.165	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.835	0.165	0.000
rs3129885 lBF = `252.857` Chr`6` : `32,410,215`	0.835	0.165	0.000
rs1633063 lBF = `101.823` Chr`6` : `29,726,046`	0.835	0.165	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.834	0.166	0.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	0.833	0.167	0.000
rs3868075 lBF = `59.8234` Chr`6` : `31,167,815`	0.000	0.167	0.833
rs3130474 lBF = `215.089` Chr`6` : `31,199,256`	0.832	0.168	0.000
rs2516491 lBF = `288.589` Chr`6` : `31,485,101`	0.831	0.169	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.831	0.169	0.000
rs115317719 lBF = `253.324` Chr`6` : `32,412,005`	0.830	0.170	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.170	0.830
rs1610682 lBF = `98.669` Chr`6` : `29,801,324`	0.830	0.170	0.000
rs3135376 lBF = `255.205` Chr`6` : `32,385,470`	0.829	0.171	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.828	0.172	0.000
rs79978308 lBF = `2.78083` Chr`21` : `41,020,545`	0.827	0.173	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.825	0.175	0.000
rs9263873 lBF = `62.514` Chr`6` : `31,170,713`	0.000	0.175	0.825
rs2395167 lBF = `254.059` Chr`6` : `32,388,308`	0.824	0.176	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.824	0.176	0.000
rs3129884 lBF = `251.538` Chr`6` : `32,410,210`	0.822	0.178	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.822	0.178	0.000
rs34182778 lBF = `229.887` Chr`6` : `31,084,942`	0.822	0.178	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.819	0.181	0.000
rs2187820 lBF = `254.383` Chr`6` : `32,385,873`	0.818	0.182	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.818	0.182	0.000
rs1892251 lBF = `87.2869` Chr`6` : `25,769,349`	0.815	0.185	0.000
rs3130955 lBF = `179.933` Chr`6` : `31,054,511`	0.814	0.186	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.813	0.187	0.000
rs28375404 lBF = `16.4264` Chr`6` : `32,614,917`	0.000	0.187	0.813
rs6930571 lBF = `253.113` Chr`6` : `32,383,208`	0.813	0.187	0.000
rs2239701 lBF = `159.351` Chr`6` : `32,805,049`	0.812	0.188	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.812	0.188	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.812	0.188	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.811	0.189	0.000
rs2001097 lBF = `255.017` Chr`6` : `32,383,858`	0.811	0.189	0.000
rs3135375 lBF = `252.934` Chr`6` : `32,385,573`	0.810	0.190	0.000
rs2001099 lBF = `248.681` Chr`6` : `32,383,633`	0.810	0.190	0.000
rs2395161 lBF = `254.328` Chr`6` : `32,387,752`	0.810	0.190	0.000
rs2213580 lBF = `254.152` Chr`6` : `32,388,574`	0.810	0.190	0.000
rs6930933 lBF = `254.18` Chr`6` : `32,383,410`	0.809	0.191	0.000
rs3135366 lBF = `253.084` Chr`6` : `32,388,709`	0.809	0.191	0.000
rs3135378 lBF = `254.2` Chr`6` : `32,385,099`	0.809	0.191	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.808	0.191	0.000
rs2395164 lBF = `251.794` Chr`6` : `32,387,860`	0.808	0.192	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.808	0.192	0.000
rs9271367 lBF = `258.737` Chr`6` : `32,586,908`	0.000	0.192	0.808
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.808	0.192	0.000
rs3129923 lBF = `214.888` Chr`6` : `32,333,195`	0.000	0.192	0.808
rs3135372 lBF = `253.556` Chr`6` : `32,385,782`	0.807	0.193	0.000
rs1633088 lBF = `87.2093` Chr`6` : `29,713,580`	0.807	0.193	0.000
rs2143462 lBF = `111.792` Chr`6` : `32,335,204`	0.806	0.193	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.806	0.194	0.000
rs10514718 lBF = `1.82647` Chr`3` : `61,413,814`	0.806	0.194	0.000
rs73396800 lBF = `71.0876` Chr`6` : `32,914,726`	0.806	0.194	0.000
rs3095267 lBF = `105.681` Chr`6` : `29,607,046`	0.806	0.194	0.000
rs2524078 lBF = `156.439` Chr`6` : `31,242,649`	0.805	0.195	0.000
rs29218 lBF = `105.895` Chr`6` : `29,607,429`	0.805	0.195	0.000
rs1628578 lBF = `85.1639` Chr`6` : `29,695,502`	0.804	0.196	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.801	0.199	0.000
rs3129867 lBF = `289.989` Chr`6` : `32,404,220`	0.000	0.200	0.800
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.800	0.200	0.000
rs2507997 lBF = `261.668` Chr`6` : `31,314,781`	0.800	0.200	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.800	0.200	0.000
rs302972 lBF = `19.5862` Chr`6` : `25,120,787`	0.800	0.200	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.799	0.201	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.798	0.202	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.798	0.202	0.000
rs3135382 lBF = `251.263` Chr`6` : `32,383,441`	0.797	0.203	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.797	0.203	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.796	0.204	0.000
rs3117137 lBF = `112.986` Chr`6` : `32,309,911`	0.796	0.204	0.000
rs3135374 lBF = `253.889` Chr`6` : `32,385,605`	0.796	0.204	0.000
rs29228 lBF = `107.267` Chr`6` : `29,623,739`	0.796	0.204	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.795	0.205	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.795	0.205	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.794	0.206	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.794	0.206	0.000
rs6908065 lBF = `248.402` Chr`6` : `32,383,341`	0.794	0.206	0.000
rs115070742 lBF = `19.7652` Chr`6` : `32,522,053`	0.000	0.206	0.794
rs9257802 lBF = `148.114` Chr`6` : `29,343,355`	0.792	0.207	0.000
rs3132564 lBF = `137.365` Chr`6` : `31,047,620`	0.792	0.208	0.000
rs9501626 lBF = `38.8676` Chr`6` : `32,400,344`	0.000	0.209	0.791
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.790	0.210	0.000
rs62106258 lBF = `13.2334` Chr`2` : `417,167`	0.000	0.211	0.789
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.789	0.211	0.000
rs73729108 lBF = `17.2585` Chr`6` : `32,514,607`	0.000	0.211	0.789
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.789	0.211	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.788	0.212	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.788	0.212	0.000
rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.788	0.212	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.787	0.213	0.000
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.787	0.213	0.000
rs118008540 lBF = `14.4387` Chr`6` : `111,739,245`	0.786	0.214	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.785	0.214	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	0.215	0.785
rs3128982 lBF = `183.245` Chr`6` : `31,417,191`	0.785	0.215	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.785	0.215	0.000
rs2395162 lBF = `252.734` Chr`6` : `32,387,780`	0.784	0.216	0.000
rs6656088 lBF = `5.87242` Chr`1` : `225,909,815`	0.784	0.216	0.000
rs1265762 lBF = `210.925` Chr`6` : `32,321,115`	0.000	0.217	0.783
rs1015166 lBF = `175.874` Chr`6` : `32,798,731`	0.782	0.218	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.782	0.218	0.000
rs3130942 lBF = `276.936` Chr`6` : `31,197,293`	0.782	0.218	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.781	0.219	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.781	0.219	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.781	0.219	0.000
rs9263708 lBF = `251.317` Chr`6` : `31,095,270`	0.781	0.219	0.000
rs3130713 lBF = `274.609` Chr`6` : `31,205,617`	0.780	0.220	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.779	0.220	0.000
rs6910668 lBF = `115.058` Chr`6` : `32,263,458`	0.779	0.221	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.779	0.221	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.778	0.222	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.778	0.222	0.000
rs9835928 lBF = `17.3241` Chr`3` : `114,296,725`	0.778	0.222	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.778	0.222	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.778	0.222	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.777	0.223	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.776	0.224	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.776	0.224	0.000
rs2517862 lBF = `169.608` Chr`6` : `29,821,937`	0.775	0.225	0.000
rs3099836 lBF = `183.222` Chr`6` : `31,418,070`	0.775	0.225	0.000
rs1235162 lBF = `240.328` Chr`6` : `29,537,224`	0.774	0.225	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.774	0.226	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.774	0.226	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.774	0.226	0.000
Affx-52368556 lBF = `236.51` Chr`6` : `31,084,935`	0.774	0.226	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.773	0.227	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.773	0.227	0.000
rs3094216 lBF = `239.383` Chr`6` : `31,084,048`	0.773	0.227	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.773	0.227	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.773	0.227	0.000
rs75578006 lBF = `5.03035` Chr`1` : `21,346,104`	0.773	0.227	0.000
rs3130473 lBF = `274.782` Chr`6` : `31,199,208`	0.772	0.228	0.000
rs2765220 lBF = `145.929` Chr`6` : `28,769,671`	0.772	0.228	0.000
rs9268153 lBF = `114.869` Chr`6` : `32,264,179`	0.772	0.228	0.000
rs9467714 lBF = `110.852` Chr`6` : `26,340,785`	0.772	0.228	0.000
rs9268220 lBF = `115.296` Chr`6` : `32,284,340`	0.772	0.228	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.772	0.228	0.000
rs130076 lBF = `306.003` Chr`6` : `31,122,482`	0.772	0.228	0.000
rs71319465 lBF = `15.9195` Chr`21` : `29,795,538`	0.771	0.229	0.000
rs3129039 lBF = `100.182` Chr`6` : `29,658,864`	0.771	0.229	0.000
rs3130573 lBF = `164.344` Chr`6` : `31,106,268`	0.771	0.229	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.771	0.229	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.770	0.230	0.000
rs2143461 lBF = `117.85` Chr`6` : `32,335,347`	0.770	0.230	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.769	0.231	0.000
rs3129063 lBF = `114.119` Chr`6` : `29,645,613`	0.769	0.231	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.768	0.232	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.768	0.232	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.768	0.232	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.767	0.233	0.000
rs1633005 lBF = `151.483` Chr`6` : `29,764,472`	0.767	0.233	0.000
rs2734986 lBF = `167.606` Chr`6` : `29,818,568`	0.766	0.234	0.000
rs3094228 lBF = `155.879` Chr`6` : `31,429,927`	0.766	0.234	0.000
rs77719114 lBF = `7.9032` Chr`5` : `131,647,677`	0.765	0.235	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.765	0.235	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.765	0.235	0.000
rs3132550 lBF = `240.835` Chr`6` : `31,086,048`	0.765	0.235	0.000
rs1233579 lBF = `197.386` Chr`6` : `28,712,663`	0.764	0.236	0.000
rs13213200 lBF = `141.767` Chr`6` : `26,755,915`	0.764	0.236	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.763	0.236	0.000
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	0.763	0.237	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.763	0.237	0.000
rs2857595 lBF = `92.5025` Chr`6` : `31,568,469`	0.763	0.237	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.762	0.238	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.762	0.238	0.000
rs28534808 lBF = `16.0989` Chr`6` : `32,633,855`	0.000	0.238	0.762
rs1033499 lBF = `120.165` Chr`6` : `32,307,532`	0.762	0.238	0.000
rs3129877 lBF = `191.25` Chr`6` : `32,408,597`	0.762	0.238	0.000
rs3129924 lBF = `114.495` Chr`6` : `32,333,299`	0.762	0.238	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.762	0.238	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.761	0.239	0.000
rs41266839 lBF = `173.744` Chr`6` : `26,409,890`	0.761	0.239	0.000
rs3094220 lBF = `239.557` Chr`6` : `31,082,987`	0.761	0.239	0.000
rs3129891 lBF = `352.967` Chr`6` : `32,415,080`	0.761	0.239	0.000
rs34788973 lBF = `164.209` Chr`6` : `27,879,200`	0.761	0.239	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.760	0.240	0.000
rs2524069 lBF = `151.86` Chr`6` : `31,244,789`	0.760	0.240	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.760	0.240	0.000
rs3130944 lBF = `278.865` Chr`6` : `31,196,671`	0.760	0.240	0.000
rs56286522 lBF = `14.5169` Chr`1` : `99,517,636`	0.760	0.240	0.000
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.759	0.241	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.759	0.241	0.000
rs3129937 lBF = `115.647` Chr`6` : `32,336,364`	0.759	0.241	0.000
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rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.758	0.242	0.000
rs3134745 lBF = `252.025` Chr`6` : `31,242,762`	0.757	0.243	0.000
Affx-28417083 lBF = `161.03` Chr`6` : `29,910,663`	0.757	0.243	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.756	0.244	0.000
rs3129926 lBF = `114.929` Chr`6` : `32,333,480`	0.756	0.244	0.000
rs3135339 lBF = `190.922` Chr`6` : `32,399,261`	0.756	0.244	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.756	0.244	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.755	0.245	0.000
rs983561 lBF = `196.714` Chr`6` : `32,403,655`	0.755	0.245	0.000
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	0.755	0.245	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.755	0.245	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.755	0.245	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.754	0.245	0.000
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rs13207082 lBF = `171.541` Chr`6` : `27,251,379`	0.754	0.246	0.000
rs3129876 lBF = `192.519` Chr`6` : `32,408,012`	0.754	0.246	0.000
rs2856705 lBF = `51.1465` Chr`6` : `32,670,956`	0.000	0.246	0.754
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rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.754	0.246	0.000
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rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.753	0.247	0.000
rs3135296 lBF = `190.167` Chr`6` : `28,795,856`	0.752	0.248	0.000
rs3130977 lBF = `228.553` Chr`6` : `31,081,989`	0.752	0.248	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.752	0.248	0.000
rs7744381 lBF = `115.071` Chr`6` : `33,081,798`	0.752	0.248	0.000
rs1632962 lBF = `88.4386` Chr`6` : `29,683,808`	0.752	0.248	0.000
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rs9461755 lBF = `20.0062` Chr`6` : `32,441,046`	0.000	0.249	0.751
rs116571774 lBF = `18.8021` Chr`6` : `32,594,612`	0.000	0.249	0.751
rs1233493 lBF = `223.835` Chr`6` : `29,458,241`	0.750	0.250	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.750	0.250	0.000
rs7748494 lBF = `20.1356` Chr`6` : `32,448,808`	0.000	0.250	0.750
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.750	0.250	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.749	0.251	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.749	0.251	0.000
rs2746149 lBF = `222.222` Chr`6` : `29,435,355`	0.749	0.251	0.000
rs3118359 lBF = `213.695` Chr`6` : `28,793,904`	0.748	0.252	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.748	0.252	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.748	0.252	0.000
rs3135342 lBF = `195.973` Chr`6` : `32,396,615`	0.748	0.252	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.748	0.252	0.000
rs45509595 lBF = `186.765` Chr`6` : `27,840,926`	0.747	0.253	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.747	0.253	0.000
rs13198474 lBF = `116.097` Chr`6` : `25,874,423`	0.746	0.253	0.000
rs4348357 lBF = `187.91` Chr`6` : `32,291,359`	0.000	0.254	0.746
rs752010 lBF = `0.663484` Chr`1` : `42,093,015`	0.746	0.254	0.000
rs2239527 lBF = `143.653` Chr`6` : `31,509,779`	0.746	0.254	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.746	0.254	0.000
rs13198716 lBF = `173.951` Chr`6` : `26,582,035`	0.746	0.254	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.745	0.255	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.745	0.255	0.000
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rs2395181 lBF = `192.663` Chr`6` : `32,407,404`	0.743	0.256	0.000
rs3129073 lBF = `108.289` Chr`6` : `29,615,822`	0.743	0.257	0.000
rs2849013 lBF = `16.0766` Chr`6` : `32,132,590`	0.000	0.257	0.743
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.743	0.257	0.000
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rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.743	0.257	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.743	0.257	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.742	0.258	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.742	0.258	0.000
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rs78649275 lBF = `7.69212` Chr`1` : `21,477,033`	0.742	0.258	0.000
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rs3117427 lBF = `198.849` Chr`6` : `29,274,136`	0.741	0.259	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.741	0.259	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.741	0.259	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.741	0.259	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	0.740	0.260	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.740	0.260	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.740	0.260	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.740	0.260	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.740	0.260	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.740	0.260	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.740	0.260	0.000
rs926070 lBF = `194.58` Chr`6` : `32,257,566`	0.000	0.260	0.740
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.739	0.260	0.000
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rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.739	0.261	0.000
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rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.736	0.264	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.736	0.264	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.736	0.264	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.736	0.264	0.000
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rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.735	0.265	0.000
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rs3129846 lBF = `192.704` Chr`6` : `32,396,475`	0.735	0.265	0.000
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rs3130455 lBF = `310.319` Chr`6` : `31,125,978`	0.734	0.266	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.734	0.266	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.734	0.266	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.734	0.266	0.000
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rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.733	0.267	0.000
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rs2394894 lBF = `298.135` Chr`6` : `31,206,920`	0.732	0.268	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.732	0.268	0.000
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rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.731	0.269	0.000
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rs6928399 lBF = `63.1866` Chr`6` : `31,195,218`	0.000	0.271	0.729
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.729	0.271	0.000
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rs9267808 lBF = `26.5316` Chr`6` : `32,114,445`	0.728	0.272	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.727	0.272	0.000
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rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.727	0.273	0.000
rs3129853 lBF = `195.43` Chr`6` : `32,398,648`	0.726	0.273	0.000
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rs1633096 lBF = `97.5333` Chr`6` : `29,707,267`	0.726	0.274	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.726	0.274	0.000
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rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.723	0.277	0.000
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rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.717	0.283	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.717	0.283	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.717	0.283	0.000
rs3131343 lBF = `208.216` Chr`6` : `28,775,564`	0.717	0.283	0.000
rs887465 lBF = `316.44` Chr`6` : `31,143,652`	0.716	0.284	0.000
rs76412020 lBF = `5.96467` Chr`6` : `34,149,938`	0.716	0.284	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.716	0.284	0.000
rs3734523 lBF = `91.3456` Chr`6` : `25,925,987`	0.716	0.284	0.000
rs77015620 lBF = `18.4816` Chr`6` : `32,583,783`	0.001	0.284	0.715
rs3132506 lBF = `290.614` Chr`6` : `31,176,226`	0.716	0.284	0.000
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	0.715	0.284	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.715	0.285	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.715	0.285	0.000
rs9467711 lBF = `146.775` Chr`6` : `26,332,605`	0.715	0.285	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.714	0.285	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.714	0.286	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.714	0.286	0.000
rs34525648 lBF = `92.1633` Chr`6` : `25,914,853`	0.714	0.286	0.000
rs4324798 lBF = `208.631` Chr`6` : `28,776,117`	0.714	0.286	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.714	0.286	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.714	0.286	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.713	0.286	0.000
rs2857597 lBF = `169.25` Chr`6` : `31,585,000`	0.000	0.287	0.713
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.713	0.287	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.713	0.287	0.000
rs9257248 lBF = `208.12` Chr`6` : `28,803,291`	0.713	0.287	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.713	0.287	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.713	0.287	0.000
rs13195509 lBF = `149.354` Chr`6` : `26,463,660`	0.713	0.287	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.713	0.287	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.713	0.287	0.000
rs2858308 lBF = `53.453` Chr`6` : `32,670,000`	0.000	0.287	0.713
rs10484439 lBF = `159.711` Chr`6` : `26,309,908`	0.712	0.288	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.712	0.288	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.712	0.288	0.000
rs3132392 lBF = `212.95` Chr`6` : `28,838,629`	0.712	0.288	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.712	0.288	0.000
rs3129683 lBF = `143.965` Chr`6` : `29,286,670`	0.712	0.288	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.712	0.288	0.000
rs3129943 lBF = `105.956` Chr`6` : `32,338,695`	0.711	0.289	0.000
rs1269851 lBF = `15.1786` Chr`6` : `32,092,207`	0.000	0.289	0.711
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	0.711	0.289	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.710	0.290	0.000
rs61742093 lBF = `190.261` Chr`6` : `27,879,982`	0.709	0.290	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.709	0.291	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.709	0.291	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.709	0.291	0.000
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	0.708	0.292	0.000
rs3734542 lBF = `150.603` Chr`6` : `26,468,326`	0.708	0.292	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.708	0.292	0.000
rs9379897 lBF = `143.879` Chr`6` : `26,601,526`	0.707	0.293	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.707	0.293	0.000
rs9467704 lBF = `146.867` Chr`6` : `26,319,486`	0.707	0.293	0.000
rs241418 lBF = `13.3098` Chr`6` : `32,827,356`	0.000	0.294	0.706
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.706	0.294	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.706	0.294	0.000
rs3827268 lBF = `5.10531` Chr`21` : `47,350,010`	0.705	0.295	0.000
rs6927022 lBF = `550.507` Chr`6` : `32,612,397`	0.705	0.295	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.705	0.295	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.705	0.295	0.000
rs3115667 lBF = `170.945` Chr`6` : `31,643,399`	0.000	0.295	0.705
rs2555456 lBF = `14.9474` Chr`6` : `32,102,231`	0.000	0.295	0.705
rs1265159 lBF = `312.664` Chr`6` : `31,140,047`	0.704	0.296	0.000
rs6903015 lBF = `151.174` Chr`6` : `26,322,526`	0.704	0.296	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.704	0.296	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.704	0.296	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.704	0.296	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.704	0.296	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.704	0.296	0.000
rs886423 lBF = `103.95` Chr`6` : `30,782,205`	0.703	0.297	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.703	0.297	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.703	0.297	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.703	0.297	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.703	0.297	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.703	0.297	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.703	0.297	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.703	0.297	0.000
rs1264352 lBF = `100.387` Chr`6` : `30,789,647`	0.703	0.297	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.703	0.297	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.702	0.298	0.000
rs13205911 lBF = `183.282` Chr`6` : `28,124,114`	0.702	0.298	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.702	0.298	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.702	0.298	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.702	0.298	0.000
rs204996 lBF = `14.4053` Chr`6` : `32,149,883`	0.000	0.298	0.702
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.702	0.298	0.000
Affx-28459705 lBF = `94.4448` Chr`6` : `31,555,130`	0.000	0.298	0.702
rs9359466 lBF = `16.1014` Chr`6` : `81,935,652`	0.701	0.299	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.701	0.299	0.000
rs3130617 lBF = `167.756` Chr`6` : `31,627,523`	0.000	0.299	0.701

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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.5932

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2767

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0520

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9971

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9859

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9844

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9758

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9743

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9703

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9636

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9632

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9605

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9587

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9510

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9483

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9457

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9415

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9388

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9364

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9306

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9240

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9215

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9091

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9035

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8927

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8883

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8808

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8803

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8713

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8666

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8654

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8515

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8489

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8413

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8343

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8342

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8337

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8099

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7988

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7967

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7946

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7894

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7847

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7671

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7605

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7492

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7448

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7318

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7284

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7241

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7185

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7140

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7089

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6888

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6669

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6662

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6630

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6580

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6562

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6542

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6497

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6389

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6259

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6236

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6114

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6040

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6006

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6003

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5905

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5892

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5715

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5677

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5653

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5579

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5546

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5448

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5430

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5175

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5099

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5085

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5001

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4819

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4808

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4551

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4551

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4486

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4454

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4376

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4288

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4190

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4176

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4167

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4136

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4065

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4019

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.3931

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3873

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3828

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3776

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3713

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3712

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3695

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3584

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3548

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3359

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3286

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3268

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3200

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3150

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3137

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3102

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3087

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3025

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2950

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2883

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2804

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2783

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2771

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2706

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2614

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2481

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2440

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2351

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2184

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2155

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2132

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2111

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2096

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2080

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1973

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1856

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1732

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1724

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1708

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1640

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1616

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1553

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1539

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1535

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1464

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1394

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1374

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1353

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1346

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1339

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1337

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1259

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1254

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1191

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1188

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1178

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1126

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1079

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0989

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0986

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0960

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0782

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0758

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0728

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0647

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0568

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0533

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0529

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0528

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0505

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0503

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`)