TreeWAS – [O64.8] Obstructed labour due to other malposition and malpresentation

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
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.638	0.362	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.619	0.381	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.609	0.390	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.570	0.430	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.565	0.435	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.526	0.474	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.520	0.480	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.516	0.484	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.499	0.501	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.496	0.504	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.491	0.508	0.000
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.000	0.509	0.491
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.490	0.510	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.486	0.514	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.482	0.517	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.481	0.519	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.472	0.527	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.470	0.530	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.468	0.532	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.467	0.533	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.462	0.538	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.458	0.542	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.457	0.543	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.449	0.551	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.445	0.555	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.439	0.561	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.438	0.562	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.437	0.563	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.432	0.568	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.430	0.569	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.427	0.573	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.422	0.578	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.413	0.587	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.409	0.591	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.402	0.598	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.400	0.600	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.398	0.602	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.389	0.611	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.386	0.614	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.354	0.646	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.354	0.646	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.353	0.647	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.347	0.652	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.343	0.657	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.337	0.663	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.331	0.669	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.313	0.687	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.311	0.689	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.307	0.693	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.304	0.696	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.302	0.698	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.290	0.710	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.288	0.712	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.286	0.714	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.283	0.716	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.275	0.725	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.273	0.726	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.273	0.727	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.265	0.735	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.260	0.740	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.255	0.745	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.252	0.747	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.241	0.758	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.761	0.239
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.238	0.762	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.234	0.765	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.227	0.773	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.212	0.787	0.001
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.211	0.789	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.205	0.794	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.202	0.798	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.195	0.805	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.191	0.808	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.180	0.820	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.176	0.824	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.164	0.835	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.163	0.837	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.000	0.838	0.162
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.156	0.844	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.149	0.851	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.146	0.853	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.146	0.854	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.146	0.854	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.143	0.857	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.141	0.859	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.129	0.871	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.128	0.872	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.116	0.883	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.105	0.895	0.000
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.001	0.905	0.094
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.094	0.906	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.093	0.907	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.089	0.910	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	0.913	0.086
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.084	0.916	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.080	0.920	0.001
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.075	0.925	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.068	0.931	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.066	0.934	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.066	0.934	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.066	0.934	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.065	0.934	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.065	0.935	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.061	0.939	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.060	0.940	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.057	0.943	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.056	0.944	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.054	0.946	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.051	0.949	0.000
rs2378870 lBF = `-0.0356024` Chr`17` : `59,638,623`	0.000	0.949	0.051
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.050	0.950	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.048	0.952	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.957	0.043
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.042	0.958	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.041	0.959	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.038	0.962	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.036	0.964	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.000	0.967	0.033
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.033	0.967	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.032	0.967	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.031	0.968	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.030	0.970	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.030	0.970	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.028	0.972	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.027	0.973	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.027	0.973	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.026	0.974	0.000
rs397969 lBF = `-0.0194557` Chr`17` : `19,804,247`	0.000	0.976	0.024
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.023	0.977	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.021	0.978	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.020	0.980	0.000
rs2945412 lBF = `0.200736` Chr`17` : `25,843,643`	0.000	0.984	0.016
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.014	0.985	0.001
rs8067545 lBF = `-0.0580308` Chr`17` : `19,912,710`	0.000	0.985	0.015
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.001	0.985	0.014
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.013	0.985	0.001
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.014	0.986	0.000
rs7224610 lBF = `-0.0163906` Chr`17` : `53,364,788`	0.012	0.987	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.012	0.988	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.011	0.989	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.010	0.989	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.010	0.989	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.009	0.990	0.001
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.009	0.991	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.009	0.991	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.009	0.991	0.000
rs1055129 lBF = `-0.0920539` Chr`17` : `73,872,948`	0.009	0.991	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.009	0.991	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.009	0.991	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.009	0.991	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.009	0.991	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.008	0.992	0.001
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.008	0.992	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.000	0.992	0.008
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.008	0.992	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.007	0.992	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.007	0.992	0.001
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.005	0.993	0.002
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.993	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.007	0.993	0.000
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.007	0.993	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.006	0.993	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.006	0.994	0.000
rs8081460 lBF = `0.0270756` Chr`17` : `8,965,272`	0.006	0.994	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.006	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.000	0.994	0.006
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.005	0.994	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	0.995	0.005
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.004	0.996	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.004	0.996	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.003	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.003	0.997	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.002	0.997	0.000
rs9902453 lBF = `0.0184464` Chr`17` : `28,349,095`	0.003	0.997	0.000
rs1663189 lBF = `-0.050365` Chr`17` : `77,889,055`	0.000	0.997	0.002
rs2013441 lBF = `-0.0856497` Chr`17` : `20,023,099`	0.000	0.997	0.003
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.002	0.998	0.000
rs2411984 lBF = `-0.0436694` Chr`17` : `47,445,751`	0.002	0.998	0.000
rs3751972 lBF = `0.408036` Chr`17` : `26,206,414`	0.002	0.998	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.002	0.998	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.002	0.998	0.000
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.002	0.998	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.002	0.998	0.000
rs8070473 lBF = `-0.0358532` Chr`17` : `33,843,512`	0.000	0.998	0.002
rs2302783 lBF = `5.36933` Chr`17` : `66,447,073`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.002	0.998	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	0.998	0.002
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.002	0.998	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.001	0.998	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.001	0.999	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	0.999	0.001
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.001	0.999	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.999	0.001
rs2665838 lBF = `0.106499` Chr`17` : `61,966,465`	0.001	0.999	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.000	0.999	0.001
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.001	0.999	0.000
rs2084881 lBF = `0.376223` Chr`17` : `46,357,120`	0.001	0.999	0.000
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rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	0.999	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	0.999	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	0.999	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	0.999	0.000
rs35219335 lBF = `-0.0135019` Chr`17` : `10,077,836`	0.000	0.999	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	0.999	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	0.999	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	0.999	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	0.999	0.000
rs8074751 lBF = `-0.0660515` Chr`17` : `63,642,542`	0.000	0.999	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.000	0.999	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.000	0.999	0.000
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.000	0.999	0.000
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.000	0.999	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	0.999	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	0.999	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.000	0.999	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	0.999	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	0.999	0.000
rs8073783 lBF = `-0.0163119` Chr`17` : `51,237,941`	0.000	0.999	0.000
rs11868035 lBF = `-0.0214466` Chr`17` : `17,715,101`	0.000	0.999	0.000
rs718073 lBF = `-0.0274968` Chr`17` : `70,584,265`	0.000	0.999	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	0.999	0.000
rs9902403 lBF = `-0.0502294` Chr`17` : `2,827,958`	0.000	0.999	0.000
rs929474 lBF = `-0.0507548` Chr`17` : `68,724,036`	0.000	0.999	0.000
rs3853824 lBF = `-0.0933912` Chr`17` : `54,880,993`	0.000	0.999	0.000
rs4792394 lBF = `-0.0952234` Chr`17` : `13,684,917`	0.000	0.999	0.000
rs314253 lBF = `-0.0961318` Chr`17` : `7,091,650`	0.000	0.999	0.000
rs4789378 lBF = `-0.110129` Chr`17` : `74,930,366`	0.000	0.999	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.000	0.999	0.000
rs4794820 lBF = `9.98152` Chr`17` : `38,089,344`	0.000	0.999	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	0.999	0.000
rs6565597 lBF = `4.34152` Chr`17` : `79,526,821`	0.000	0.999	0.000
rs2732703 lBF = `4.25554` Chr`17` : `44,353,222`	0.000	0.999	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	0.999	0.000
rs17761864 lBF = `0.0184136` Chr`17` : `2,171,637`	0.000	0.999	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	0.999	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	0.999	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	0.999	0.000
rs312691 lBF = `-0.00062114` Chr`17` : `68,326,338`	0.000	0.999	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	0.999	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	0.999	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	0.999	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	0.999	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	0.999	0.000
rs944722 lBF = `-0.0285062` Chr`17` : `26,092,037`	0.000	0.999	0.000
rs9635759 lBF = `-0.0807129` Chr`17` : `49,613,785`	0.000	0.999	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	0.999	0.000
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.000	0.999	0.000
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.000	0.999	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.000	0.999	0.000
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.000	0.999	0.000
rs2517959 lBF = `4.33643` Chr`17` : `37,846,512`	0.000	0.999	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	0.999	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	0.999	0.000
rs11657044 lBF = `0.832578` Chr`17` : `59,450,105`	0.000	0.999	0.000
rs4640244 lBF = `0.109956` Chr`17` : `21,284,223`	0.000	0.999	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	0.999	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	0.999	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	0.999	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	0.999	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.000	0.999	0.000
rs7207499 lBF = `-0.0518373` Chr`17` : `64,447,165`	0.000	0.999	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	1.000	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	1.000	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	1.000	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	1.000	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	1.000	0.000
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.000	1.000	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.000	1.000	0.000
rs3744763 lBF = `8.02105` Chr`17` : `36,090,885`	0.000	1.000	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.000	1.000	0.000
rs199501 lBF = `6.03665` Chr`17` : `44,862,613`	0.000	1.000	0.000
rs1034927 lBF = `5.00381` Chr`17` : `44,334,419`	0.000	1.000	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.000	1.000	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.000	1.000	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs6503659 lBF = `0.271348` Chr`17` : `39,897,264`	0.000	1.000	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs8082590 lBF = `0.0572329` Chr`17` : `17,958,402`	0.000	1.000	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	1.000	0.000
rs3744061 lBF = `0.0157117` Chr`17` : `74,733,403`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs3785574 lBF = `-0.0197042` Chr`17` : `61,763,185`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs227724 lBF = `-0.0418164` Chr`17` : `54,778,817`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	0.000
rs6565681 lBF = `-0.0627288` Chr`17` : `78,348,494`	0.000	1.000	0.000
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.000	1.000	0.000
rs6607284 lBF = `-0.0820696` Chr`17` : `36,026,335`	0.000	1.000	0.000
rs2453580 lBF = `-0.0891733` Chr`17` : `19,438,321`	0.000	1.000	0.000
rs1046875 lBF = `-0.0895966` Chr`17` : `80,685,426`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5158

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.5103

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8493

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7855

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7163

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7155

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7146

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7135

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7133

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7131

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7112

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7101

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7049

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7031

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7017

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7012

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6996

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6988

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6974

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6963

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6957

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6942

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6930

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6915

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6911

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6868

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6853

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6815

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6815

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6801

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6793

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6793

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6782

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6779

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6772

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6767

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6748

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6742

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6715

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6703

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6653

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6653

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6597

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6579

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6577

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6573

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6572

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6506

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6485

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6466

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6466

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6449

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6427

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6425

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6347

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6269

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6264

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6205

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6197

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6158

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6158

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6155

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6151

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6146

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6107

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6081

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6071

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6066

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6003

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5957

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5951

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5932

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5931

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5927

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5866

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5853

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5850

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5841

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5816

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5813

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5811

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5797

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5765

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5738

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5694

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5628

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5612

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5594

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5549

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5539

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5463

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5407

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5404

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5382

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5380

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5364

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5364

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5290

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5239

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5180

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5178

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5162

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5158

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5079

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5066

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5037

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5035

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4963

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4897

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4864

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4802

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4734

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4669

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4640

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.4541

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4530

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4497

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4495

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4455

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4418

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4365

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4363

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4282

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4074

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4061

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3903

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3870

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3870

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3843

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3688

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3527

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3499

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3496

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3465

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3383

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3316

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3066

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2999

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2731

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2618

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2614

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2552

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2498

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2293

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2033

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1942

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1892

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1841

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1705

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1705

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1666

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1585

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1578

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1459

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1449

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1443

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1249

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1247

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1137

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1128

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1082

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0952

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0950

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0905

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0859

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0744

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`)