TreeWAS – [O99.5] Diseases of the respiratory system complicating pregnancy, childbirth and the puerperium

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
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.767	0.233	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.717	0.283	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.688	0.312	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.679	0.320	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.632	0.368	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.614	0.386	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.608	0.391	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.608	0.391	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.569	0.431	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.521	0.479	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.502	0.498	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.501	0.499	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.496	0.503	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.473	0.527	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.470	0.530	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.467	0.533	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.436	0.564	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.413	0.586	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.413	0.587	0.000
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.000	0.593	0.407
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.403	0.597	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.399	0.601	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.388	0.612	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.377	0.623	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.376	0.624	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.375	0.625	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.374	0.626	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.372	0.628	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.372	0.628	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.370	0.630	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.365	0.635	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.363	0.637	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.356	0.644	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.346	0.654	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.343	0.656	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.339	0.661	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.337	0.662	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.337	0.663	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.335	0.665	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.334	0.666	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.330	0.669	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.325	0.675	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.323	0.677	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.323	0.677	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.312	0.688	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.311	0.689	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.310	0.690	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.307	0.693	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.305	0.694	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.303	0.696	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.303	0.697	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.303	0.697	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.302	0.698	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.297	0.703	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.292	0.708	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.287	0.713	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.285	0.714	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.285	0.714	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.282	0.718	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.281	0.718	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.280	0.719	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.279	0.721	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.279	0.721	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.272	0.728	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.271	0.729	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.266	0.734	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.264	0.736	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.260	0.740	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.257	0.743	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.255	0.744	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.250	0.750	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.241	0.758	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.240	0.760	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.233	0.767	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.230	0.770	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.214	0.786	0.000
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.000	0.787	0.213
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.204	0.796	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.197	0.803	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.191	0.809	0.001
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.809	0.191
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.187	0.812	0.001
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.169	0.831	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.165	0.834	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.165	0.835	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.163	0.837	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.155	0.845	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.154	0.845	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.154	0.846	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.154	0.846	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.152	0.847	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.141	0.858	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.135	0.864	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.129	0.870	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.121	0.879	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.117	0.883	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.115	0.884	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.113	0.887	0.001
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.112	0.888	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.109	0.890	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.108	0.891	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.100	0.899	0.001
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.100	0.900	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.093	0.906	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.090	0.909	0.001
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.086	0.914	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.080	0.920	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	0.920	0.080
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.075	0.924	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.073	0.927	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.072	0.927	0.001
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.068	0.932	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.001	0.934	0.065
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.065	0.935	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.060	0.939	0.001
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.057	0.943	0.001
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.056	0.944	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.055	0.945	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.053	0.947	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.049	0.951	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.046	0.953	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.045	0.955	0.000
rs7207499 lBF = `-0.0518373` Chr`17` : `64,447,165`	0.000	0.957	0.043
rs3751972 lBF = `0.408036` Chr`17` : `26,206,414`	0.040	0.960	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.038	0.961	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.037	0.962	0.001
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.034	0.966	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.028	0.972	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.028	0.972	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.973	0.027
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.027	0.973	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.026	0.974	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.025	0.974	0.001
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.024	0.976	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.023	0.977	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.022	0.977	0.001
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.021	0.978	0.001
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.021	0.978	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.020	0.979	0.001
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.021	0.979	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.021	0.979	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.002	0.979	0.019
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.000	0.980	0.020
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.019	0.980	0.001
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.018	0.982	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.017	0.982	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.017	0.983	0.001
rs17808461 lBF = `-0.0751725` Chr`17` : `31,393,702`	0.015	0.985	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.015	0.985	0.000
rs7224610 lBF = `-0.0163906` Chr`17` : `53,364,788`	0.014	0.986	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.013	0.987	0.001
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.011	0.989	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.011	0.989	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.010	0.990	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.010	0.990	0.001
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.010	0.990	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.009	0.990	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.009	0.991	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.009	0.991	0.000
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.009	0.991	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.001	0.991	0.008
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.008	0.992	0.000
rs6502557 lBF = `0.0196252` Chr`17` : `16,960,978`	0.000	0.992	0.008
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.008	0.992	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.008	0.992	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.007	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.993	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.006	0.994	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.006	0.994	0.000
rs2013441 lBF = `-0.0856497` Chr`17` : `20,023,099`	0.000	0.994	0.006
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.005	0.995	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.005	0.995	0.000
rs4617927 lBF = `0.0387266` Chr`17` : `53,356,126`	0.000	0.995	0.005
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	0.995	0.005
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.001	0.996	0.003
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.003	0.996	0.001
rs28587833 lBF = `-0.0953642` Chr`17` : `78,511,327`	0.000	0.996	0.004
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.003	0.996	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.000	0.997	0.003
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.003	0.997	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
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.003	0.997	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.997	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.002	0.997	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	0.998	0.002
rs7226229 lBF = `0.0088149` Chr`17` : `20,924,077`	0.002	0.998	0.000
rs17610181 lBF = `2.0868` Chr`17` : `59,667,953`	0.000	0.998	0.002
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.002	0.998	0.000
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	0.002	0.998	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.002	0.998	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.998	0.001
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.998	0.001
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	0.998	0.001
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	0.998	0.001
rs4646404 lBF = `-0.0761786` Chr`17` : `17,420,199`	0.001	0.998	0.000
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rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.000	0.999	0.000
Affx-13926609 lBF = `8.66443` Chr`17` : `43,881,790`	0.000	0.999	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.000	0.999	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.000	0.999	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.000	0.999	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	0.999	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	0.999	0.000
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	0.000	0.999	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	0.999	0.000
rs9916302 lBF = `0.025262` Chr`17` : `37,499,949`	0.000	0.999	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	0.999	0.000
rs8066985 lBF = `-0.00771845` Chr`17` : `68,453,345`	0.000	0.999	0.000
rs6504909 lBF = `-0.00947766` Chr`17` : `52,548,125`	0.000	0.999	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	0.999	0.000
rs1994969 lBF = `-0.0480495` Chr`17` : `47,080,431`	0.000	0.999	0.000
rs626657 lBF = `-0.055643` Chr`17` : `37,332,963`	0.000	0.999	0.000
rs11079321 lBF = `-0.0609623` Chr`17` : `55,747,416`	0.000	0.999	0.000
rs4794665 lBF = `-0.0725634` Chr`17` : `54,850,329`	0.000	0.999	0.000
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.000	0.999	0.000
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.000	0.999	0.000
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	0.000	0.999	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.000	0.999	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	0.999	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	0.999	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	0.999	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.000	0.999	0.000
rs2411984 lBF = `-0.0436694` Chr`17` : `47,445,751`	0.000	0.999	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	0.999	0.000
rs523516 lBF = `-0.069035` Chr`17` : `37,331,345`	0.000	0.999	0.000
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.000	0.999	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	0.999	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	0.999	0.000
Affx-13927266 lBF = `6.05516` Chr`17` : `43,925,297`	0.000	0.999	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	0.000	0.999	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	0.999	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	0.999	0.000
rs11653011 lBF = `-0.00273923` Chr`17` : `53,519,844`	0.000	0.999	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	0.999	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	0.999	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	0.999	0.000
rs11545787 lBF = `-0.0420883` Chr`17` : `17,398,278`	0.000	0.999	0.000
rs17533156 lBF = `-0.0608042` Chr`17` : `75,114,705`	0.000	0.999	0.000
rs1401795 lBF = `-0.0743849` Chr`17` : `54,839,652`	0.000	0.999	0.000
rs2447097 lBF = `-0.0797207` Chr`17` : `2,278,064`	0.000	0.999	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.000	1.000	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	1.000	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.000	1.000	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.000	1.000	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	1.000	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	1.000	0.000
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
rs216205 lBF = `0.627465` Chr`17` : `2,196,150`	0.000	1.000	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	0.000
rs1401796 lBF = `-0.0840115` Chr`17` : `54,839,759`	0.000	1.000	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.000	1.000	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.000	1.000	0.000
rs9914266 lBF = `3.07775` Chr`17` : `2,133,250`	0.000	1.000	0.000
rs9907309 lBF = `0.581202` Chr`17` : `14,938,944`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs1396515 lBF = `-0.00082143` Chr`17` : `68,430,993`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs6565681 lBF = `-0.0627288` Chr`17` : `78,348,494`	0.000	1.000	0.000
rs7211079 lBF = `-0.0664865` Chr`17` : `78,107,537`	0.000	1.000	0.000
rs9891572 lBF = `-0.0887405` Chr`17` : `2,428,508`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	1.000	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.000	1.000	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	1.000	0.000
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.000	1.000	0.000
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.000	1.000	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.000	1.000	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.000	1.000	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.000	1.000	0.000
rs1231206 lBF = `2.89602` Chr`17` : `2,125,605`	0.000	1.000	0.000
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.000	1.000	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.000	1.000	0.000
rs2908972 lBF = `0.401177` Chr`17` : `11,407,259`	0.000	1.000	0.000
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.000	1.000	0.000
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	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

0.8785

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3643

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9759

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9615

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9519

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9333

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9301

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9287

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9164

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9159

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9113

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9090

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9062

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9006

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8973

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8831

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8791

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8774

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8690

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8663

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8468

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8396

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8294

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8181

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8150

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8120

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8109

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7962

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7957

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7945

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7889

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7805

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7697

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7686

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7680

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7621

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7572

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7551

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7549

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7496

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.7465

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7395

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7333

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7233

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7176

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7168

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7167

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7139

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7129

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7091

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7083

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7075

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7070

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7070

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7050

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7036

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7014

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7008

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6967

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6964

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6946

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6935

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6912

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6892

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6816

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6808

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6803

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6801

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6757

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6699

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6690

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6653

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6649

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6647

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6583

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.6531

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6492

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6451

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6448

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6374

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6360

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6303

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6266

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6123

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5944

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5902

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5812

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5774

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5620

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5320

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5301

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5258

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5219

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5148

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5136

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5111

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5064

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5029

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4918

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4901

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4803

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4709

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4696

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4691

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4514

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4442

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4387

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4182

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4017

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4007

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3936

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3907

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3888

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3609

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3530

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3500

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3435

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3303

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3156

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3082

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3015

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2931

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2853

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2852

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2838

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2750

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2750

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2717

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2698

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2689

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2674

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2607

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2577

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2535

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2474

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2454

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2449

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2411

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2395

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2390

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2362

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2317

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2302

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2253

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2229

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2193

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2189

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2149

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2112

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2092

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2062

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2060

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2000

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1991

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1969

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1962

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1938

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1728

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1715

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1707

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1687

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1662

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1602

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1527

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1524

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1508

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1459

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1383

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1330

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1324

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1311

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1259

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1236

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1183

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1028

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1006

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0851

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0838

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0800

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0788

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0728

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0627

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0616

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0545

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0536

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0533

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0522

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`)