TreeWAS – [O83] Other assisted single delivery

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
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.664	0.336	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.659	0.340	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.618	0.382	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.595	0.405	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.592	0.408	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.590	0.410	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.589	0.411	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.584	0.416	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.574	0.426	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.571	0.429	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.570	0.430	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.564	0.436	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.557	0.443	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.557	0.443	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.554	0.446	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.550	0.449	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.550	0.450	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.545	0.455	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.544	0.456	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.544	0.456	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.543	0.457	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.541	0.459	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.537	0.463	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.529	0.471	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.526	0.474	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.523	0.476	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.520	0.479	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.516	0.484	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.505	0.495	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.490	0.510	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.478	0.522	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.474	0.526	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.468	0.532	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.468	0.532	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.465	0.534	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.464	0.536	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.457	0.543	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.455	0.545	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.450	0.550	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.449	0.551	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.448	0.552	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.416	0.584	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.413	0.586	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.409	0.590	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.405	0.595	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.399	0.601	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.399	0.601	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.393	0.606	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.391	0.609	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.387	0.613	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.386	0.613	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.379	0.620	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.377	0.622	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.372	0.628	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.371	0.628	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.371	0.629	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.370	0.630	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.363	0.636	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.355	0.644	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.344	0.656	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.343	0.657	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.341	0.658	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.341	0.659	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.336	0.663	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.327	0.673	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.323	0.677	0.001
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.321	0.678	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.318	0.681	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.315	0.685	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.312	0.688	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.311	0.689	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.306	0.693	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.302	0.697	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.301	0.699	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.300	0.699	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.297	0.703	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.297	0.703	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.297	0.703	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.295	0.704	0.001
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.291	0.708	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.275	0.725	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.270	0.730	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.270	0.730	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.270	0.730	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.736	0.264
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.259	0.740	0.000
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.000	0.741	0.259
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.257	0.743	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.252	0.748	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.247	0.753	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.244	0.756	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.234	0.765	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.231	0.769	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.229	0.771	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.227	0.773	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.213	0.787	0.001
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.000	0.791	0.209
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.200	0.800	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.184	0.816	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.182	0.818	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.174	0.825	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.143	0.856	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.142	0.857	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.138	0.862	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.137	0.863	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.127	0.873	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.125	0.875	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.117	0.882	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.114	0.885	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.111	0.889	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.109	0.891	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.108	0.891	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	0.901	0.098
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.095	0.905	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.089	0.911	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.086	0.914	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.085	0.914	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.084	0.915	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.082	0.918	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.082	0.918	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.001	0.918	0.080
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.074	0.925	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.931	0.068
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.066	0.934	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.061	0.939	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.056	0.943	0.001
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.056	0.943	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.055	0.945	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.051	0.948	0.001
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.051	0.949	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.051	0.949	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.049	0.951	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.047	0.953	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.044	0.955	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.041	0.959	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.039	0.961	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.038	0.962	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.037	0.963	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.036	0.964	0.001
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.035	0.964	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.035	0.964	0.001
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.035	0.965	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.035	0.965	0.000
rs3751972 lBF = `0.408036` Chr`17` : `26,206,414`	0.032	0.968	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.032	0.968	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.030	0.969	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.027	0.972	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.027	0.973	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.004	0.975	0.021
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.023	0.977	0.001
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.022	0.978	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.021	0.979	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.017	0.983	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.015	0.984	0.001
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.014	0.986	0.000
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
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.012	0.988	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.012	0.988	0.000
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.011	0.989	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.009	0.990	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.002	0.990	0.008
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.990	0.000
rs7224610 lBF = `-0.0163906` Chr`17` : `53,364,788`	0.010	0.990	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.009	0.991	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.008	0.992	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.007	0.992	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.007	0.993	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.006	0.993	0.000
rs180515 lBF = `0.809847` Chr`17` : `58,024,275`	0.007	0.993	0.000
rs3786094 lBF = `-0.0438178` Chr`17` : `9,875,205`	0.007	0.993	0.000
rs2013441 lBF = `-0.0856497` Chr`17` : `20,023,099`	0.000	0.993	0.007
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.007	0.993	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.006	0.994	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.002	0.994	0.004
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.000	0.994	0.006
rs4986172 lBF = `-0.0437651` Chr`17` : `43,216,281`	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
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.004	0.996	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.996	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.003	0.997	0.000
rs9908102 lBF = `0.0664821` Chr`17` : `12,896,553`	0.003	0.997	0.000
rs11654964 lBF = `0.0223935` Chr`17` : `32,989,538`	0.003	0.997	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.003	0.997	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.001	0.997	0.001
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.002	0.998	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	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
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.001	0.998	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.001	0.998	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.001	0.998	0.000
rs4795519 lBF = `-0.0896733` Chr`17` : `25,541,278`	0.001	0.999	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.001	0.999	0.001
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs6503905 lBF = `-0.0482082` Chr`17` : `57,287,454`	0.001	0.999	0.001
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rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.000	1.000	0.000
rs11658329 lBF = `-0.01479` Chr`17` : `61,763,031`	0.000	1.000	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	1.000	0.000
rs3853824 lBF = `-0.0933912` Chr`17` : `54,880,993`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	1.000	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.000	1.000	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.000	1.000	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	1.000	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	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
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	1.000	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.000	1.000	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.000	1.000	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.000	1.000	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.000	1.000	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.000	1.000	0.000
rs8066985 lBF = `-0.00771845` Chr`17` : `68,453,345`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs820217 lBF = `-0.036926` Chr`17` : `73,688,294`	0.000	1.000	0.000
rs6504663 lBF = `-0.043126` Chr`17` : `48,591,209`	0.000	1.000	0.000
rs8074980 lBF = `-0.0445688` Chr`17` : `56,010,960`	0.000	1.000	0.000
rs216452 lBF = `-0.0523426` Chr`17` : `28,883,741`	0.000	1.000	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	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
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	1.000	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.000	1.000	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	1.000	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	1.000	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	1.000	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.000	1.000	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.000	1.000	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs10521232 lBF = `0.0694156` Chr`17` : `13,539,804`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	1.000	0.000
rs1396515 lBF = `-0.00082143` Chr`17` : `68,430,993`	0.000	1.000	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.000	1.000	0.000
rs7209395 lBF = `-0.0306572` Chr`17` : `64,133,726`	0.000	1.000	0.000
rs9303196 lBF = `-0.035859` Chr`17` : `5,907,443`	0.000	1.000	0.000
rs8076457 lBF = `-0.0365304` Chr`17` : `8,943,929`	0.000	1.000	0.000
rs7224668 lBF = `-0.0447813` Chr`17` : `79,235,788`	0.000	1.000	0.000
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	0.000	1.000	0.000
rs11079757 lBF = `-0.0562497` Chr`17` : `45,195,850`	0.000	1.000	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	1.000	0.000
rs2019216 lBF = `-0.0996054` Chr`17` : `21,909,650`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	0.000	1.000	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	1.000	0.000
rs8081264 lBF = `7.94459` Chr`17` : `7,235,316`	0.000	1.000	0.000
rs10445337 lBF = `7.56478` Chr`17` : `44,067,400`	0.000	1.000	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.000	1.000	0.000
rs9303521 lBF = `1.38622` Chr`17` : `43,805,194`	0.000	1.000	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	1.000	0.000
rs9905704 lBF = `0.685603` Chr`17` : `56,632,543`	0.000	1.000	0.000
rs11650066 lBF = `0.573506` Chr`17` : `32,287,449`	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
rs6504909 lBF = `-0.00947766` Chr`17` : `52,548,125`	0.000	1.000	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	1.000	0.000
rs7215990 lBF = `-0.0278399` Chr`17` : `6,034,831`	0.000	1.000	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.000	1.000	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.000	1.000	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.000	1.000	0.000
rs3744790 lBF = `-0.0514657` Chr`17` : `76,893,135`	0.000	1.000	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	1.000	0.000
rs712046 lBF = `-0.0691899` Chr`17` : `34,358,297`	0.000	1.000	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.000	1.000	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	1.000	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs67050149 lBF = `6.33733` Chr`17` : `79,557,043`	0.000	1.000	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.000	1.000	0.000
Affx-13922976 lBF = `5.36343` Chr`17` : `43,659,975`	0.000	1.000	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.000	1.000	0.000
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.000	1.000	0.000
rs6565597 lBF = `4.34152` Chr`17` : `79,526,821`	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
rs199515 lBF = `3.83286` Chr`17` : `44,856,641`	0.000	1.000	0.000
rs2074404 lBF = `1.63065` Chr`17` : `44,865,439`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	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

0.5071

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4013

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7166

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7165

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7162

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7137

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7131

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7125

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7124

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7123

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7087

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7085

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7071

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7043

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7043

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7038

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7034

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7028

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7015

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6985

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6961

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6911

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6896

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6892

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6845

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6774

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6765

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6764

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6743

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6727

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6716

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6695

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6689

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6681

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6663

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6660

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6628

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6625

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6616

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6607

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6588

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6529

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6515

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6474

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6356

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6315

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6298

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6284

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6284

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6265

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6254

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6224

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6205

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6192

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6118

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6092

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6048

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5969

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5929

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5907

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5902

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5887

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5876

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5852

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5789

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5744

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5723

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5669

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5637

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5574

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5530

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5529

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5458

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5442

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5420

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5415

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5414

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5396

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5387

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5322

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5290

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5279

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5267

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5213

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5203

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5195

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5170

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5090

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5054

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4954

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4921

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4912

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4902

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4890

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4871

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4858

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4843

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4822

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4811

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4804

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.4721

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4715

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4710

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4695

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4631

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4628

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4612

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4601

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4562

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4555

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4507

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4465

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4432

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4430

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4380

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4365

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4361

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4290

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4254

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4252

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4236

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4235

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4213

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4200

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4179

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4153

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4150

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4122

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4110

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4049

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4000

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3876

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3784

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3760

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3744

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3739

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3687

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3656

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3641

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3611

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3606

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3592

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3484

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3318

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3302

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3301

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3262

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3245

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3197

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3191

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3170

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3156

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3144

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3137

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3117

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3077

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3013

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2999

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2990

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2968

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2950

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2908

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2887

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2719

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2672

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2620

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2616

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2541

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2407

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2367

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2041

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2025

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1968

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1960

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1868

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1868

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1684

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.1564

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1479

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1377

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1376

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1113

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1091

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1046

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0933

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0931

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0929

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0929

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0900

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0898

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0884

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0824

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0814

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0805

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0699

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0698

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.0648

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0632

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.0504

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.

Parent term	O80-O84 Delivery
Nested terms	O83.0 Breech extraction O83.1 Other assisted breech delivery O83.2 Other manipulation-assisted delivery O83.3 Delivery of viable foetus in abdominal pregnancy O83.4 Destructive operation for delivery O83.8 Other specified assisted single delivery O83.9 Assisted single delivery, unspecified

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`)