TreeWAS – [Z43.6] Attention to other artificial openings of urinary tract

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
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.636	0.364	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.583	0.416	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.583	0.417	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.574	0.426	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.558	0.442	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.546	0.453	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.540	0.460	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.526	0.474	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.515	0.485	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.513	0.487	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.498	0.501	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.490	0.509	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.473	0.527	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.462	0.537	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.459	0.541	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.458	0.542	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.454	0.546	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.450	0.549	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.444	0.556	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.427	0.573	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.425	0.575	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.415	0.585	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.403	0.597	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.402	0.598	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.395	0.604	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.392	0.608	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.371	0.628	0.001
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.366	0.634	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.345	0.655	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.331	0.669	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.310	0.690	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.308	0.692	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.299	0.701	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.289	0.710	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.275	0.724	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.271	0.729	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.270	0.730	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.267	0.733	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.261	0.739	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.251	0.749	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.239	0.760	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.233	0.766	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.206	0.793	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.205	0.795	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.191	0.809	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.191	0.809	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.166	0.833	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.163	0.837	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.154	0.846	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.154	0.846	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.146	0.854	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.135	0.864	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.134	0.866	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.119	0.881	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.093	0.907	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.092	0.907	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.080	0.920	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.076	0.924	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.070	0.930	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.065	0.935	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.059	0.941	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.059	0.941	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.056	0.944	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.051	0.948	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.043	0.957	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.041	0.958	0.001
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.036	0.964	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.035	0.965	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.966	0.033
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.028	0.971	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.026	0.973	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.026	0.974	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.016	0.983	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.015	0.985	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.014	0.985	0.001
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.014	0.986	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.013	0.987	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.012	0.988	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.012	0.988	0.000
rs2320952 lBF = `0.0109096` Chr`17` : `10,466,474`	0.010	0.990	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.009	0.990	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.009	0.990	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.009	0.991	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.009	0.991	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.008	0.991	0.001
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.009	0.991	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.009	0.991	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.009	0.991	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.008	0.991	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.008	0.992	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.007	0.992	0.000
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.000	0.992	0.008
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.007	0.993	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.006	0.993	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.006	0.994	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.005	0.994	0.000
rs6761 lBF = `0.117299` Chr`17` : `7,417,663`	0.000	0.994	0.006
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.005	0.995	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.005	0.995	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.005	0.995	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.995	0.005
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.004	0.996	0.000
rs1642764 lBF = `0.0051968` Chr`17` : `7,557,834`	0.000	0.996	0.004
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.004	0.996	0.001
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.004	0.996	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.004	0.996	0.000
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.004	0.996	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.004	0.996	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.004	0.996	0.000
rs12601558 lBF = `0.0806125` Chr`17` : `80,179,147`	0.000	0.996	0.004
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.003	0.996	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.003	0.996	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.003	0.997	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.003	0.997	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.003	0.997	0.000
rs11653011 lBF = `-0.00273923` Chr`17` : `53,519,844`	0.000	0.997	0.003
rs959260 lBF = `-0.0625843` Chr`17` : `73,369,422`	0.003	0.997	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.003	0.997	0.000
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.002	0.998	0.000
rs4789580 lBF = `-0.0584139` Chr`17` : `76,311,991`	0.000	0.998	0.002
rs3764400 lBF = `-0.0214903` Chr`17` : `46,123,932`	0.000	0.998	0.002
rs12940622 lBF = `0.0309402` Chr`17` : `78,615,571`	0.000	0.998	0.002
rs11657044 lBF = `0.832578` Chr`17` : `59,450,105`	0.002	0.998	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.001	0.998	0.001
rs4791774 lBF = `-0.0958877` Chr`17` : `8,932,119`	0.002	0.998	0.000
rs12150665 lBF = `0.148449` Chr`17` : `34,914,787`	0.000	0.998	0.002
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.001	0.998	0.001
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs730547 lBF = `-0.0350368` Chr`17` : `33,112,106`	0.002	0.998	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.002	0.998	0.000
rs7503807 lBF = `0.0141674` Chr`17` : `78,591,111`	0.000	0.998	0.002
rs4796217 lBF = `-0.0590889` Chr`17` : `34,819,191`	0.002	0.998	0.000
rs8074751 lBF = `-0.0660515` Chr`17` : `63,642,542`	0.002	0.998	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	0.998	0.002
rs712046 lBF = `-0.0691899` Chr`17` : `34,358,297`	0.002	0.998	0.000
rs4788985 lBF = `-0.112155` Chr`17` : `75,313,335`	0.000	0.998	0.002
rs8067545 lBF = `-0.0580308` Chr`17` : `19,912,710`	0.000	0.998	0.002
rs997781 lBF = `-0.00491408` Chr`17` : `67,117,688`	0.002	0.998	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.998	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.002	0.998	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.001	0.998	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.002	0.998	0.000
rs12453914 lBF = `0.0421126` Chr`17` : `67,138,878`	0.002	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs218676 lBF = `-0.0535661` Chr`17` : `6,607,018`	0.000	0.998	0.002
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.001	0.998	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	0.999	0.001
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.999	0.001
rs559972 lBF = `0.05985` Chr`17` : `27,814,496`	0.000	0.999	0.001
rs727428 lBF = `0.234682` Chr`17` : `7,537,792`	0.000	0.999	0.001
rs9900280 lBF = `0.0517773` Chr`17` : `27,769,598`	0.001	0.999	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.001	0.999	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	0.999	0.001
rs10438797 lBF = `0.259573` Chr`17` : `27,491,862`	0.001	0.999	0.000
rs1859962 lBF = `4.17106` Chr`17` : `69,108,753`	0.000	0.999	0.001
rs11656696 lBF = `5.98584` Chr`17` : `10,033,679`	0.001	0.999	0.000
rs379123 lBF = `-0.116895` Chr`17` : `30,891,814`	0.001	0.999	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.001	0.999	0.000
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	0.000	0.999	0.001
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.001	0.999	0.000
rs8071558 lBF = `4.46114` Chr`17` : `69,107,673`	0.000	0.999	0.001
rs17765344 lBF = `4.44954` Chr`17` : `69,106,874`	0.000	0.999	0.001
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.001	0.999	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.001	0.999	0.000
rs9908102 lBF = `0.0664821` Chr`17` : `12,896,553`	0.001	0.999	0.000
rs9916302 lBF = `0.025262` Chr`17` : `37,499,949`	0.001	0.999	0.000
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.001	0.999	0.000
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	0.001	0.999	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.001	0.999	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.001	0.999	0.000
rs55714927 lBF = `-0.0253605` Chr`17` : `7,080,316`	0.000	0.999	0.001
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
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rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	1.000	0.000
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.000	1.000	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.000	1.000	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.000	1.000	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
Affx-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
Affx-13923840 lBF = `8.92182` Chr`17` : `43,707,619`	0.000	1.000	0.000
Affx-13926609 lBF = `8.66443` Chr`17` : `43,881,790`	0.000	1.000	0.000
Affx-13925359 lBF = `8.63146` Chr`17` : `43,804,619`	0.000	1.000	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.000	1.000	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs35895680 lBF = `0.224475` Chr`17` : `47,060,322`	0.000	1.000	0.000
rs11655550 lBF = `0.0523183` Chr`17` : `37,610,123`	0.000	1.000	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.000	1.000	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.000	1.000	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	1.000	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	1.000	0.000
rs8074980 lBF = `-0.0445688` Chr`17` : `56,010,960`	0.000	1.000	0.000
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	1.000	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	1.000	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	1.000	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	1.000	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.000	1.000	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	1.000	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.000	1.000	0.000
rs3816995 lBF = `0.0613038` Chr`17` : `71,335,260`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs271674 lBF = `-0.0396692` Chr`17` : `47,978,986`	0.000	1.000	0.000
rs227731 lBF = `-0.0957209` Chr`17` : `54,773,238`	0.000	1.000	0.000
rs4430796 lBF = `25.1458` Chr`17` : `36,098,040`	0.000	1.000	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.000	1.000	0.000
rs12051723 lBF = `0.048562` Chr`17` : `78,324,259`	0.000	1.000	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.000	1.000	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs3110643 lBF = `0.00604654` Chr`17` : `36,073,492`	0.000	1.000	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	1.000	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs6501384 lBF = `-0.0418682` Chr`17` : `68,291,133`	0.000	1.000	0.000
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.000	1.000	0.000
rs1872085 lBF = `-0.0699987` Chr`17` : `71,528,080`	0.000	1.000	0.000
rs11871847 lBF = `-0.078445` Chr`17` : `69,281,766`	0.000	1.000	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	1.000	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	1.000	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.000	1.000	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.000	1.000	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.000	1.000	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.000	1.000	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.000	1.000	0.000
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.000	1.000	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	1.000	0.000
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.000	1.000	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	1.000	0.000
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.000	1.000	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	1.000	0.000
rs62064224 lBF = `-0.115641` Chr`17` : `30,635,115`	0.000	1.000	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.000	1.000	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.000	1.000	0.000
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.000	1.000	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.000	1.000	0.000
rs10445337 lBF = `7.56478` Chr`17` : `44,067,400`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs2003347 lBF = `-0.00956259` Chr`17` : `35,273,345`	0.000	1.000	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	1.000	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	1.000	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	1.000	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	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
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	0.000
rs1401795 lBF = `-0.0743849` Chr`17` : `54,839,652`	0.000	1.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	1.000	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.000	1.000	0.000
rs9913911 lBF = `7.26611` Chr`17` : `10,031,183`	0.000	1.000	0.000
rs1231206 lBF = `2.89602` Chr`17` : `2,125,605`	0.000	1.000	0.000
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs228769 lBF = `0.109429` Chr`17` : `42,193,185`	0.000	1.000	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	1.000	0.000
rs12946454 lBF = `0.0866074` Chr`17` : `43,208,121`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4983

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2708

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9972

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9963

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9909

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9876

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9818

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9807

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9777

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9765

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9738

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9726

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9718

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9708

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9700

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9683

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9677

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9653

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9648

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9609

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9532

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9475

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9471

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9458

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9393

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9341

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9302

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9287

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9263

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9189

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9182

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9156

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9129

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9099

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9095

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9087

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9041

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8940

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8919

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8906

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8880

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8877

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8875

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8691

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8531

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8524

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8497

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8471

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8322

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8097

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8055

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8045

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7890

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7883

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7883

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7827

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7814

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7784

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7607

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7547

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7534

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7390

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7380

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7372

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7359

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7345

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7282

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7230

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7142

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7046

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7002

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6920

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6800

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6782

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6725

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6687

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6678

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6647

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6616

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6541

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6514

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6439

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6418

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6260

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5966

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5934

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5796

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5793

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5549

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5453

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5379

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5345

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5153

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4980

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4953

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4749

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4715

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4667

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4620

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4607

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4598

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4593

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4539

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4435

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4330

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4283

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4260

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4081

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4078

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3923

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3902

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3610

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3547

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3271

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3248

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3145

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2919

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2907

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2768

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2704

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2655

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2634

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2550

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2505

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2457

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2220

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2208

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2152

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2030

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1973

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1800

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1559

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1532

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1176

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1148

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1065

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1010

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0998

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0967

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0939

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0892

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0860

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0751

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0659

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0518

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`)