TreeWAS – [O63.1] Prolonged second stage (of labour)

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
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.932	0.068	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.861	0.139	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.838	0.162	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.815	0.185	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.807	0.193	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.798	0.202	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.788	0.212	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.737	0.263	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.720	0.280	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.708	0.292	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.693	0.307	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.671	0.329	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.615	0.385	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.579	0.421	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.578	0.422	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.570	0.430	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.523	0.477	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.519	0.481	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.479	0.521	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.475	0.525	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.537	0.463
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.459	0.541	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.453	0.547	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.440	0.560	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.430	0.570	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.396	0.603	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.396	0.604	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.369	0.631	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.369	0.631	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.365	0.635	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.362	0.637	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.361	0.638	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.333	0.667	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.329	0.671	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.329	0.671	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.295	0.705	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.295	0.705	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.290	0.710	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.289	0.711	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.287	0.712	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.272	0.728	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.257	0.742	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.253	0.747	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.248	0.752	0.000
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.000	0.755	0.245
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.242	0.757	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.241	0.758	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.240	0.760	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.000	0.761	0.239
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.235	0.765	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.234	0.766	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.233	0.766	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.225	0.775	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.215	0.784	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.213	0.787	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.205	0.795	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.194	0.806	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.191	0.809	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.181	0.819	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.178	0.822	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.155	0.845	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.154	0.846	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.152	0.848	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.145	0.855	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.140	0.860	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.134	0.866	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.125	0.875	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.118	0.882	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.112	0.887	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.110	0.889	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.100	0.900	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.099	0.901	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.098	0.902	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.096	0.904	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.095	0.905	0.001
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.000	0.906	0.094
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.092	0.908	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.091	0.909	0.001
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.090	0.910	0.001
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.086	0.914	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.081	0.919	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.079	0.920	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.075	0.925	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.060	0.939	0.001
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.057	0.943	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.055	0.945	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.053	0.946	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.052	0.946	0.002
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.947	0.053
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.052	0.948	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.052	0.948	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.051	0.949	0.001
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.051	0.949	0.001
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.050	0.950	0.001
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.000	0.950	0.050
rs2378870 lBF = `-0.0356024` Chr`17` : `59,638,623`	0.000	0.950	0.050
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.048	0.950	0.001
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.047	0.953	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.046	0.954	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.046	0.954	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.046	0.954	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.044	0.956	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.044	0.956	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.038	0.961	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.036	0.963	0.001
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.031	0.968	0.001
rs7224610 lBF = `-0.0163906` Chr`17` : `53,364,788`	0.031	0.969	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.030	0.970	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.029	0.971	0.000
rs1055129 lBF = `-0.0920539` Chr`17` : `73,872,948`	0.029	0.971	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.027	0.972	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.027	0.973	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.026	0.974	0.001
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.026	0.974	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.025	0.974	0.001
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.024	0.975	0.001
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	0.976	0.024
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.024	0.976	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.023	0.977	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.021	0.979	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.020	0.980	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.019	0.980	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.018	0.981	0.001
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.018	0.981	0.001
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.018	0.981	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.017	0.982	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.017	0.983	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.017	0.983	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.016	0.984	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.000	0.984	0.016
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.015	0.985	0.001
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.012	0.987	0.001
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.013	0.987	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.000	0.987	0.013
rs2945412 lBF = `0.200736` Chr`17` : `25,843,643`	0.000	0.987	0.013
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.012	0.988	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.011	0.989	0.000
rs2567519 lBF = `-0.0475196` Chr`17` : `70,788,406`	0.011	0.989	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.011	0.989	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.010	0.990	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.010	0.990	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.009	0.991	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.009	0.991	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.009	0.991	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.009	0.991	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.008	0.992	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.007	0.992	0.001
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.993	0.000
rs11655470 lBF = `1.92618` Chr`17` : `43,795,433`	0.007	0.993	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	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
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.005	0.994	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.003	0.995	0.002
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.002	0.995	0.003
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.005	0.995	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.005	0.995	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.002	0.995	0.003
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.005	0.995	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.002	0.995	0.003
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.004	0.995	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	0.996	0.004
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.001	0.997	0.003
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
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.003	0.997	0.000
rs7224488 lBF = `0.13188` Chr`17` : `54,868,625`	0.003	0.997	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.997	0.000
rs9910816 lBF = `-0.00214457` Chr`17` : `66,344,703`	0.000	0.997	0.003
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.002	0.998	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	0.998	0.002
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.001	0.998	0.001
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	0.998	0.002
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.002	0.998	0.000
rs397969 lBF = `-0.0194557` Chr`17` : `19,804,247`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	0.998	0.002
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.001	0.998	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.002	0.998	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.002	0.998	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.002	0.998	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	0.998	0.002
rs962888 lBF = `0.185428` Chr`17` : `43,059,071`	0.000	0.998	0.002
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.001	0.999	0.001
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.001	0.999	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	0.999	0.001
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	0.999	0.001
rs6502557 lBF = `0.0196252` Chr`17` : `16,960,978`	0.001	0.999	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	0.999	0.001
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	0.999	0.001
rs12946454 lBF = `0.0866074` Chr`17` : `43,208,121`	0.000	0.999	0.001
rs12600635 lBF = `-0.0486726` Chr`17` : `17,142,896`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.001	0.999	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs1642764 lBF = `0.0051968` Chr`17` : `7,557,834`	0.001	0.999	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.000	0.999	0.001
rs4617927 lBF = `0.0387266` Chr`17` : `53,356,126`	0.000	0.999	0.001
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rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.000	1.000	0.000
rs218676 lBF = `-0.0535661` Chr`17` : `6,607,018`	0.000	1.000	0.000
rs6503319 lBF = `-0.0705758` Chr`17` : `10,574,159`	0.000	1.000	0.000
rs9891572 lBF = `-0.0887405` Chr`17` : `2,428,508`	0.000	1.000	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.000	1.000	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	1.000	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs3110643 lBF = `0.00604654` Chr`17` : `36,073,492`	0.000	1.000	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.000	1.000	0.000
rs9902403 lBF = `-0.0502294` Chr`17` : `2,827,958`	0.000	1.000	0.000
rs8072599 lBF = `-0.0594913` Chr`17` : `80,242,123`	0.000	1.000	0.000
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.000	1.000	0.000
rs12950390 lBF = `-0.102435` Chr`17` : `45,830,948`	0.000	1.000	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	1.000	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.000	1.000	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.000	1.000	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs6503526 lBF = `6.21627` Chr`17` : `38,114,598`	0.000	1.000	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.000	1.000	0.000
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.000	1.000	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.000	1.000	0.000
rs11650066 lBF = `0.573506` Chr`17` : `32,287,449`	0.000	1.000	0.000
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.000	1.000	0.000
rs2138852 lBF = `0.0595363` Chr`17` : `27,703,349`	0.000	1.000	0.000
rs9900280 lBF = `0.0517773` Chr`17` : `27,769,598`	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
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	1.000	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs8067545 lBF = `-0.0580308` Chr`17` : `19,912,710`	0.000	1.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	1.000	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.000	1.000	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	1.000	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.000	1.000	0.000
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.000	1.000	0.000
rs2732703 lBF = `4.25554` Chr`17` : `44,353,222`	0.000	1.000	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs3751972 lBF = `0.408036` Chr`17` : `26,206,414`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs2289681 lBF = `0.280258` Chr`17` : `42,989,088`	0.000	1.000	0.000
rs8076739 lBF = `0.0105619` Chr`17` : `27,714,587`	0.000	1.000	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs9303401 lBF = `-0.0139074` Chr`17` : `56,847,945`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	1.000	0.000
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	1.000	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs3853824 lBF = `-0.0933912` Chr`17` : `54,880,993`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	1.000	0.000
Affx-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	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
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	1.000	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	1.000	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	1.000	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.000	1.000	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	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
rs4792909 lBF = `0.822937` Chr`17` : `41,798,824`	0.000	1.000	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.000	1.000	0.000
rs8081523 lBF = `0.0423272` Chr`17` : `76,304,510`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs3786094 lBF = `-0.0438178` Chr`17` : `9,875,205`	0.000	1.000	0.000
rs8074980 lBF = `-0.0445688` Chr`17` : `56,010,960`	0.000	1.000	0.000
rs4794202 lBF = `-0.0447461` Chr`17` : `45,930,539`	0.000	1.000	0.000
rs17645023 lBF = `-0.0505989` Chr`17` : `64,917,033`	0.000	1.000	0.000
rs626657 lBF = `-0.055643` Chr`17` : `37,332,963`	0.000	1.000	0.000
rs12453935 lBF = `-0.0882798` Chr`17` : `59,897,455`	0.000	1.000	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.000	1.000	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	1.000	0.000
Affx-13923840 lBF = `8.92182` Chr`17` : `43,707,619`	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
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.000	1.000	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	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

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

0.9998

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.8669

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

1.0000

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

1.0000

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

1.0000

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9999

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.9789

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9689

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.9433

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9240

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8932

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8737

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7964

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7559

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7547

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7138

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7038

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7002

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6890

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5910

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5901

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5889

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5593

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5393

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5372

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4876

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3241

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3141

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2978

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2301

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2219

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2195

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2159

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2109

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2007

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1766

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1694

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1407

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1207

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1037

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1013

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0874

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0756

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0715

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0593

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0540

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`)