TreeWAS – [D46.0] Refractory anaemia without sideroblasts, so stated

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
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.623	0.377	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.614	0.386	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.557	0.442	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.543	0.457	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.540	0.460	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.526	0.474	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.521	0.479	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.515	0.485	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.500	0.500	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.498	0.502	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.498	0.502	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.483	0.517	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.481	0.519	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.472	0.528	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.469	0.531	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.467	0.532	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.466	0.534	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.466	0.534	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.462	0.538	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.458	0.542	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.453	0.547	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.451	0.549	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.451	0.549	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.448	0.552	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.443	0.556	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.442	0.557	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.438	0.562	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.432	0.568	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.426	0.573	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.425	0.575	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.415	0.585	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.414	0.586	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.412	0.588	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.412	0.588	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.411	0.589	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.405	0.594	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.403	0.596	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.401	0.599	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.399	0.601	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.394	0.606	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.378	0.622	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.373	0.627	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.371	0.629	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.368	0.632	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.368	0.632	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.362	0.637	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.362	0.638	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.357	0.643	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.354	0.645	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.354	0.646	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.354	0.646	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.353	0.647	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.345	0.655	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.335	0.664	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.334	0.666	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.331	0.669	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.329	0.671	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.325	0.675	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.320	0.680	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.320	0.680	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.316	0.684	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.313	0.687	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.310	0.689	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.309	0.691	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.302	0.698	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.294	0.706	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.294	0.706	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.289	0.711	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.275	0.724	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.275	0.725	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.272	0.728	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.260	0.740	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.258	0.741	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.246	0.753	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.227	0.773	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.206	0.794	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.196	0.803	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.191	0.809	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.188	0.811	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.187	0.813	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.165	0.835	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.158	0.842	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.155	0.845	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.152	0.847	0.001
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.150	0.849	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.147	0.853	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.141	0.859	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.140	0.860	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.137	0.863	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.134	0.866	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.122	0.877	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.115	0.885	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.115	0.885	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.114	0.886	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.102	0.897	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.102	0.897	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.101	0.899	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.089	0.911	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.921	0.078
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.076	0.923	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.066	0.933	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.057	0.943	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.056	0.944	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.055	0.945	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.047	0.953	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.036	0.964	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.035	0.965	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.030	0.970	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.029	0.971	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.028	0.972	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.027	0.972	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.027	0.973	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.011	0.974	0.015
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.025	0.975	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.025	0.975	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.023	0.977	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.022	0.978	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.022	0.978	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.021	0.978	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.020	0.979	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.020	0.980	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.020	0.980	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.020	0.980	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.019	0.981	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.014	0.986	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.014	0.986	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.013	0.987	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.012	0.988	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.011	0.988	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.010	0.989	0.000
rs1990193 lBF = `0.0651057` Chr`17` : `68,828,089`	0.000	0.991	0.009
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.008	0.992	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.008	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.007	0.993	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.993	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.006	0.994	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.006	0.994	0.000
rs712039 lBF = `-0.0304748` Chr`17` : `35,850,553`	0.006	0.994	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.005	0.994	0.000
rs7477 lBF = `-0.0892816` Chr`17` : `16,246,016`	0.005	0.995	0.000
rs2075230 lBF = `-0.00511233` Chr`17` : `7,487,108`	0.005	0.995	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.000	0.995	0.005
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.004	0.995	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.004	0.996	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.004	0.996	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	0.996	0.004
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.004	0.996	0.000
rs180515 lBF = `0.809847` Chr`17` : `58,024,275`	0.004	0.996	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.003	0.996	0.000
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.000	0.996	0.003
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.003	0.996	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.003	0.997	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.997	0.000
rs4986172 lBF = `-0.0437651` Chr`17` : `43,216,281`	0.000	0.997	0.003
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs9914544 lBF = `-0.0571571` Chr`17` : `18,787,828`	0.000	0.997	0.003
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.003	0.997	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.003	0.997	0.000
rs67050149 lBF = `6.33733` Chr`17` : `79,557,043`	0.002	0.997	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.002	0.997	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.002	0.998	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.002	0.998	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.002	0.998	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.002	0.998	0.000
rs6502557 lBF = `0.0196252` Chr`17` : `16,960,978`	0.002	0.998	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.002	0.998	0.000
rs2074409 lBF = `0.184138` Chr`17` : `35,898,342`	0.002	0.998	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.002	0.998	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.002	0.998	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.002	0.998	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.002	0.998	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.002	0.998	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.002	0.998	0.000
rs4789378 lBF = `-0.110129` Chr`17` : `74,930,366`	0.000	0.998	0.002
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.002	0.998	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.002	0.998	0.000
rs411988 lBF = `-0.0722544` Chr`17` : `56,709,034`	0.002	0.998	0.000
rs2429369 lBF = `-0.0778709` Chr`17` : `56,501,420`	0.002	0.998	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.002	0.998	0.000
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.002	0.998	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.002	0.998	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.002	0.998	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.002	0.998	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	0.998	0.001
rs228769 lBF = `0.109429` Chr`17` : `42,193,185`	0.000	0.998	0.002
rs412000 lBF = `-0.073512` Chr`17` : `56,709,058`	0.002	0.998	0.000
rs1316453 lBF = `0.222152` Chr`17` : `77,410,859`	0.000	0.998	0.002
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	0.000	0.998	0.001
rs718073 lBF = `-0.0274968` Chr`17` : `70,584,265`	0.000	0.998	0.001
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	0.998	0.001
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.001	0.998	0.000
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.001	0.998	0.000
rs227726 lBF = `-0.0638644` Chr`17` : `54,777,585`	0.000	0.999	0.001
rs244293 lBF = `-0.0930749` Chr`17` : `53,230,722`	0.001	0.999	0.000
rs1380181 lBF = `-0.0707018` Chr`17` : `15,193,056`	0.000	0.999	0.001
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rs447921 lBF = `-0.0232117` Chr`17` : `74,414,559`	0.000	0.999	0.000
rs8074700 lBF = `-0.0327177` Chr`17` : `46,749,791`	0.000	0.999	0.000
rs12940030 lBF = `-0.0589294` Chr`17` : `14,561,016`	0.000	0.999	0.000
rs9674544 lBF = `-0.073829` Chr`17` : `47,084,711`	0.001	0.999	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	0.999	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	0.999	0.000
Affx-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	0.000	0.999	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	0.999	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	0.999	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.000	0.999	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.000	0.999	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	0.999	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	0.999	0.000
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.000	0.999	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.000	0.999	0.000
rs1994884 lBF = `5.45058` Chr`17` : `2,084,008`	0.000	0.999	0.000
Affx-13922976 lBF = `5.36343` Chr`17` : `43,659,975`	0.000	0.999	0.000
rs9914266 lBF = `3.07775` Chr`17` : `2,133,250`	0.000	0.999	0.000
rs116908816 lBF = `0.615666` Chr`17` : `32,422,699`	0.000	0.999	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	0.999	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	0.999	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	0.999	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	0.999	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.000	0.999	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	0.999	0.000
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.000	0.999	0.000
rs1994969 lBF = `-0.0480495` Chr`17` : `47,080,431`	0.001	0.999	0.000
rs1513670 lBF = `-0.0762696` Chr`17` : `41,807,331`	0.000	0.999	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.000	0.999	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	0.999	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.000	0.999	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	0.999	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.000	0.999	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.000	0.999	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.000	0.999	0.000
Affx-13926609 lBF = `8.66443` Chr`17` : `43,881,790`	0.000	0.999	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	0.999	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.000	0.999	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	0.999	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	0.000	0.999	0.000
rs11655470 lBF = `1.92618` Chr`17` : `43,795,433`	0.000	0.999	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	0.999	0.000
rs242557 lBF = `0.174769` Chr`17` : `44,019,712`	0.000	0.999	0.000
rs2240736 lBF = `0.147927` Chr`17` : `59,485,393`	0.000	0.999	0.000
rs10521232 lBF = `0.0694156` Chr`17` : `13,539,804`	0.000	0.999	0.000
rs17761864 lBF = `0.0184136` Chr`17` : `2,171,637`	0.000	0.999	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.000	0.999	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	0.999	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	0.999	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	0.999	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	0.999	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	0.999	0.000
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.000	0.999	0.000
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.000	0.999	0.000
rs379123 lBF = `-0.116895` Chr`17` : `30,891,814`	0.000	0.999	0.000
rs9303280 lBF = `13.2746` Chr`17` : `38,074,031`	0.000	0.999	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	0.999	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	0.999	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	0.999	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	0.999	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.000	0.999	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	0.999	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.000	0.999	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	0.999	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.000	0.999	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.000	0.999	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.000	0.999	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.000	0.999	0.000
rs10445337 lBF = `7.56478` Chr`17` : `44,067,400`	0.000	0.999	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	0.999	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	0.999	0.000
rs2760743 lBF = `6.55443` Chr`17` : `2,017,079`	0.000	0.999	0.000
rs1231206 lBF = `2.89602` Chr`17` : `2,125,605`	0.000	0.999	0.000
rs1292053 lBF = `0.359007` Chr`17` : `57,963,537`	0.000	0.999	0.000
rs8068318 lBF = `0.144792` Chr`17` : `59,483,766`	0.000	0.999	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	0.999	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	0.999	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	0.999	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	0.999	0.000
rs7209395 lBF = `-0.0306572` Chr`17` : `64,133,726`	0.000	0.999	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	0.999	0.000
rs758642 lBF = `-0.0545184` Chr`17` : `3,786,907`	0.000	0.999	0.000
rs7224000 lBF = `-0.0877636` Chr`17` : `65,410,934`	0.000	0.999	0.000
rs7216389 lBF = `14.3028` Chr`17` : `38,069,949`	0.000	0.999	0.000
rs2305479 lBF = `13.817` Chr`17` : `38,062,217`	0.000	0.999	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	0.999	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	0.999	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	0.999	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	0.999	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	0.999	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.000	0.999	0.000
Affx-13925359 lBF = `8.63146` Chr`17` : `43,804,619`	0.000	0.999	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	0.999	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.000	0.999	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.000	0.999	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.000	0.999	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	0.999	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.000	0.999	0.000
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.000	0.999	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 X0289

log Bayes Factor = 60.4564

contains 1 variants

0.2088

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1172

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7132

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7130

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7086

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7073

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7029

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7024

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7016

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7008

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6975

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.6950

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6944

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6891

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6865

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6861

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6846

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6825

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6816

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6806

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6803

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6782

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6778

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6772

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6771

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6716

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6715

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.6712

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.6709

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6691

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6691

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6666

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6659

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6628

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6627

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6598

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6578

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6576

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6551

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6479

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6461

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6443

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6415

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6390

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6381

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6339

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6319

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6302

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6285

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6236

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6231

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6210

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6196

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6167

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6150

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6148

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6125

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6108

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.6104

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6097

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6078

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6072

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6058

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6050

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6032

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6029

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6025

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5986

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5949

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5940

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5887

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5885

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5857

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5851

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5828

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5814

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5795

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5745

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5655

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5628

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5616

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5614

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5566

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5535

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5512

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5507

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5506

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5458

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5422

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5421

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5395

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5393

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5388

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5379

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5378

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5358

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5345

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5325

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5304

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5292

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5281

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5236

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.5215

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5205

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5191

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5175

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5173

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5165

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5162

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5142

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5130

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5128

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.5030

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5014

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4980

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4965

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4962

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4950

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4945

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4931

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4882

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4876

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4871

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4855

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4853

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4812

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4808

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4806

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4770

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4691

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4688

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4686

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4671

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4662

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4620

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4596

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4547

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4520

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4499

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4462

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4422

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4390

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4385

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4357

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4347

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4309

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4294

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4248

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4226

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4224

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4163

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4151

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4116

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4081

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4058

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3996

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3985

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3944

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3937

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3856

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3850

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3807

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3763

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3726

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3723

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3693

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3672

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3656

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3626

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3582

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3576

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3525

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3518

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3475

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3474

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3468

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3448

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3364

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3348

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3321

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3294

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3288

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3260

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3233

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3210

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3198

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3170

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3141

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3133

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.3129

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3120

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3076

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3038

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3036

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3031

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2862

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.2766

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.2468

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2258

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2202

Cluster X0022

log Bayes Factor = 66.3421

contains 6 variants

0.2119

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2087

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1985

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1781

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1477

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1454

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1316

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1182

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1111

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0860

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0647

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`)