TreeWAS – [O95] Obstetric death of unspecified cause

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
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.700	0.300	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.697	0.303	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.687	0.313	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.686	0.314	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.667	0.333	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.656	0.344	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.654	0.346	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.654	0.346	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.631	0.369	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.603	0.397	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.589	0.411	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.575	0.425	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.571	0.428	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.570	0.430	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.553	0.447	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.550	0.450	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.536	0.464	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.534	0.466	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.532	0.468	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.526	0.474	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.525	0.474	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.522	0.478	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.517	0.482	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.516	0.484	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.514	0.486	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.501	0.499	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.496	0.504	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.489	0.510	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.488	0.512	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.487	0.513	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.486	0.514	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.484	0.516	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.482	0.517	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.481	0.519	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.480	0.520	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.475	0.525	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.468	0.531	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.458	0.542	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.454	0.546	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.453	0.547	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.449	0.550	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.448	0.552	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.448	0.552	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.447	0.553	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.442	0.558	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.440	0.560	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.440	0.560	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.438	0.562	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.431	0.569	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.431	0.569	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.430	0.570	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.429	0.571	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.428	0.572	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.427	0.572	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.418	0.582	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.413	0.586	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.413	0.587	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.412	0.587	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.409	0.591	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.406	0.594	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.404	0.596	0.000
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.000	0.598	0.402
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.393	0.606	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.391	0.609	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.389	0.611	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.384	0.616	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.382	0.618	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.376	0.623	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.365	0.635	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.364	0.636	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.358	0.641	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.354	0.646	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.350	0.650	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.342	0.657	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.336	0.663	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.329	0.671	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.322	0.678	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.320	0.680	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.299	0.700	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.294	0.706	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.290	0.709	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.287	0.712	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.270	0.729	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.265	0.735	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.738	0.262
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.259	0.741	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.258	0.741	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.244	0.756	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.240	0.760	0.000
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.000	0.767	0.233
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.229	0.771	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.226	0.774	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.220	0.779	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.212	0.787	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.210	0.790	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.197	0.803	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.183	0.816	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.183	0.817	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.180	0.820	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.178	0.822	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.176	0.824	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.172	0.827	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.165	0.835	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.159	0.840	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.152	0.847	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.152	0.848	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.152	0.848	0.001
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.136	0.864	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.134	0.865	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.131	0.869	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.123	0.877	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.102	0.897	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.101	0.899	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.101	0.899	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	0.899	0.101
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.099	0.901	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.099	0.901	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.098	0.902	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.002	0.910	0.088
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.081	0.919	0.000
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.078	0.922	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.076	0.924	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.075	0.924	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.072	0.928	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.067	0.933	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.067	0.933	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.066	0.933	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.058	0.941	0.001
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.051	0.948	0.001
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.048	0.951	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.044	0.956	0.001
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.043	0.957	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.041	0.958	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.041	0.959	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.040	0.960	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.038	0.961	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.038	0.962	0.001
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.962	0.038
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.036	0.963	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.035	0.965	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.033	0.967	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.032	0.967	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.032	0.968	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.029	0.970	0.001
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.029	0.971	0.000
rs3751972 lBF = `0.408036` Chr`17` : `26,206,414`	0.028	0.972	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.027	0.973	0.001
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.004	0.973	0.022
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.026	0.973	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.026	0.974	0.000
rs7224610 lBF = `-0.0163906` Chr`17` : `53,364,788`	0.023	0.977	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.023	0.977	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.020	0.980	0.001
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.020	0.980	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.019	0.981	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.018	0.982	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.018	0.982	0.000
rs7207499 lBF = `-0.0518373` Chr`17` : `64,447,165`	0.000	0.983	0.017
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.013	0.987	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.012	0.987	0.000
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.012	0.988	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.002	0.988	0.010
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.000	0.989	0.011
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.011	0.989	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.010	0.990	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.010	0.990	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.990	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.009	0.991	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.008	0.992	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.008	0.992	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.007	0.992	0.001
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.007	0.993	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.003	0.993	0.004
rs2013441 lBF = `-0.0856497` Chr`17` : `20,023,099`	0.000	0.993	0.007
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.006	0.994	0.000
rs17808461 lBF = `-0.0751725` Chr`17` : `31,393,702`	0.006	0.994	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.005	0.995	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.005	0.995	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.004	0.996	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	0.996	0.004
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.004	0.996	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.004	0.996	0.000
rs6502557 lBF = `0.0196252` Chr`17` : `16,960,978`	0.000	0.996	0.004
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.997	0.000
rs180515 lBF = `0.809847` Chr`17` : `58,024,275`	0.003	0.997	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.003	0.997	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.003	0.997	0.000
rs4617927 lBF = `0.0387266` Chr`17` : `53,356,126`	0.000	0.997	0.003
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.002	0.997	0.001
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.003	0.997	0.000
rs3786094 lBF = `-0.0438178` Chr`17` : `9,875,205`	0.002	0.997	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.998	0.002
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.002	0.998	0.000
rs1663189 lBF = `-0.050365` Chr`17` : `77,889,055`	0.000	0.998	0.002
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.002	0.998	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.002	0.998	0.000
rs28587833 lBF = `-0.0953642` Chr`17` : `78,511,327`	0.000	0.998	0.002
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.001	0.998	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.000	0.998	0.001
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Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	1.000	0.000
rs3764419 lBF = `0.993552` Chr`17` : `29,164,023`	0.000	1.000	0.000
rs3760318 lBF = `0.910229` Chr`17` : `29,247,715`	0.000	1.000	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs4986044 lBF = `0.0407517` Chr`17` : `21,261,560`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs2378870 lBF = `-0.0356024` Chr`17` : `59,638,623`	0.000	1.000	0.000
rs17533156 lBF = `-0.0608042` Chr`17` : `75,114,705`	0.000	1.000	0.000
rs7211079 lBF = `-0.0664865` Chr`17` : `78,107,537`	0.000	1.000	0.000
rs244293 lBF = `-0.0930749` Chr`17` : `53,230,722`	0.000	1.000	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	1.000	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	1.000	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	1.000	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.000	1.000	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	1.000	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.000	1.000	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	1.000	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.000	1.000	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	1.000	0.000
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.000	1.000	0.000
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.000	1.000	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.000	1.000	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.000	1.000	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs7503953 lBF = `-0.00427826` Chr`17` : `6,141,677`	0.000	1.000	0.000
rs1006703 lBF = `-0.00866852` Chr`17` : `3,865,399`	0.000	1.000	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs4790333 lBF = `-0.0403491` Chr`17` : `2,262,703`	0.000	1.000	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.000	1.000	0.000
rs6503905 lBF = `-0.0482082` Chr`17` : `57,287,454`	0.000	1.000	0.000
rs6565681 lBF = `-0.0627288` Chr`17` : `78,348,494`	0.000	1.000	0.000
rs9891572 lBF = `-0.0887405` Chr`17` : `2,428,508`	0.000	1.000	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	1.000	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	1.000	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	1.000	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.000	1.000	0.000
Affx-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	0.000	1.000	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.000	1.000	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	1.000	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	1.000	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.000	1.000	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.000	1.000	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.000	1.000	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.000	1.000	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.000	1.000	0.000
Affx-13925359 lBF = `8.63146` Chr`17` : `43,804,619`	0.000	1.000	0.000
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.000	1.000	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	1.000	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	1.000	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.000	1.000	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	1.000	0.000
Affx-13928850 lBF = `7.97634` Chr`17` : `44,017,124`	0.000	1.000	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.000	1.000	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.000	1.000	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	1.000	0.000
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	1.000	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs1870584 lBF = `0.027536` Chr`17` : `12,047,544`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs7209395 lBF = `-0.0306572` Chr`17` : `64,133,726`	0.000	1.000	0.000
rs2411984 lBF = `-0.0436694` Chr`17` : `47,445,751`	0.000	1.000	0.000
rs3744790 lBF = `-0.0514657` Chr`17` : `76,893,135`	0.000	1.000	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.7155

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5109

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7169

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7169

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7169

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7168

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7168

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7168

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7167

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7167

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7165

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7165

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7165

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7160

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7160

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7156

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7151

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7151

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7151

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7145

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7144

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7141

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7133

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7131

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7128

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7121

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7120

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7118

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7100

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7099

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7098

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7086

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7079

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7075

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7073

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7055

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7047

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7039

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7032

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7032

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7026

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7019

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7015

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7012

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7002

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6975

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6971

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6955

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6954

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6928

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6874

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6866

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6864

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6859

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6836

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6802

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6800

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6774

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6750

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6743

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6732

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6727

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6698

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6689

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6665

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6652

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6643

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6616

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6613

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6605

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6576

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6534

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6501

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6435

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6425

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6378

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6356

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6349

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6280

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6267

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6255

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6242

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6166

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6114

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6104

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6087

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6065

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6056

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6029

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5976

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5962

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5943

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5850

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5791

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5787

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5784

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5773

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5736

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5721

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5623

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5580

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5577

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5505

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5451

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5439

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5286

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5276

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5227

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5188

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5094

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4980

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4938

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4932

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4863

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4842

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4817

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4786

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4768

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4765

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4750

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4675

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4655

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4595

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4576

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4560

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4557

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4493

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4417

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4397

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4390

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4388

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4385

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4385

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4321

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4314

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4294

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4292

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4277

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4273

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4271

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4268

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4264

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4234

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4224

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4206

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4196

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4193

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4155

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4141

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4136

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4106

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4084

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.4024

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3987

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3974

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3973

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3926

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3900

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3883

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3872

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3864

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3768

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3757

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3748

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3725

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3713

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3673

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.3588

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3578

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3499

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3435

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.3313

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3294

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3253

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3218

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3091

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3059

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2934

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2727

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2595

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.2457

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2290

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1434

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1407

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1224

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1207

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1178

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1069

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1059

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1043

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0950

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0941

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0879

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0879

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0864

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0806

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0750

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0683

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0668

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.0658

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0643

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0617

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0569

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0556

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`)