TreeWAS – [N30-N39] Other diseases of urinary system

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
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.999	0.001	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.999	0.001	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.995	0.005	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.994	0.006	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.991	0.009	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.978	0.022	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.974	0.026	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.973	0.027	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.970	0.030	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.964	0.036	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.963	0.037	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.944	0.056	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.940	0.060	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.930	0.070	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.929	0.071	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.925	0.075	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.886	0.114	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.864	0.136	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.853	0.147	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.841	0.159	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.838	0.162	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.823	0.177	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.810	0.190	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.809	0.191	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.808	0.192	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.807	0.193	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.801	0.199	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.786	0.214	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.784	0.216	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.770	0.230	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.752	0.248	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.744	0.256	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.722	0.278	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.695	0.305	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.694	0.306	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.679	0.321	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.661	0.339	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.626	0.374	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.623	0.377	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.619	0.381	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.617	0.383	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.612	0.388	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.590	0.410	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.588	0.412	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.582	0.418	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.575	0.425	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.565	0.435	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.528	0.472	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.507	0.492	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.473	0.527	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.464	0.536	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.416	0.584	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.389	0.611	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.385	0.614	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.380	0.620	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.371	0.629	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.364	0.636	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.361	0.639	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.297	0.703	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.293	0.707	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.282	0.718	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.251	0.749	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.221	0.779	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.217	0.783	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.210	0.790	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.205	0.795	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.203	0.797	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.200	0.800	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.185	0.815	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.181	0.819	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.175	0.825	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.164	0.836	0.001
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.160	0.840	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.149	0.851	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.145	0.855	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.141	0.859	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.140	0.860	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.129	0.871	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.125	0.875	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.118	0.882	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.111	0.889	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.099	0.901	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.083	0.916	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.078	0.922	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.077	0.923	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.077	0.923	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.075	0.925	0.000
rs3816995 lBF = `0.0613038` Chr`17` : `71,335,260`	0.064	0.936	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.063	0.937	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.056	0.943	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.051	0.949	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.050	0.950	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.044	0.956	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.043	0.957	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.040	0.960	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.037	0.963	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.029	0.971	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.029	0.971	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.026	0.974	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.024	0.976	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.023	0.976	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.023	0.977	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.021	0.979	0.000
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.000	0.980	0.020
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.019	0.981	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.019	0.981	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.017	0.982	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.015	0.985	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.014	0.986	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.013	0.987	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.013	0.987	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.012	0.988	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.010	0.990	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.010	0.990	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.008	0.992	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.007	0.993	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.007	0.993	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.004	0.993	0.003
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.005	0.995	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.005	0.995	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.005	0.995	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.005	0.995	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.005	0.995	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.005	0.995	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.005	0.995	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.004	0.996	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.004	0.996	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.004	0.996	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	0.997	0.003
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.003	0.997	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.003	0.997	0.000
rs6504663 lBF = `-0.043126` Chr`17` : `48,591,209`	0.003	0.997	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.003	0.997	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.003	0.997	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.997	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.997	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.002	0.998	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.002	0.998	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.002	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.999	0.000
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
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.001	0.999	0.000
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	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
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
rs144460277 lBF = `0` Chr`17` : `9,075,744`	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
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
rs61744862 lBF = `0` Chr`17` : `17,068,182`	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
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs116885154 lBF = `-0.00001053` Chr`17` : `71,784,375`	0.001	0.999	0.000
rs12453524 lBF = `-0.00003894` Chr`17` : `66,575,117`	0.000	0.999	0.000
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.001	0.999	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.001	0.999	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	0.999	0.001
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.001	0.999	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.001	0.999	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	0.999	0.001
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	0.999	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	0.999	0.001
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.001	0.999	0.000
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.001	0.999	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.000	1.000	0.000
rs244293 lBF = `-0.0930749` Chr`17` : `53,230,722`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.000	1.000	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.000	1.000	0.000
rs16970672 lBF = `-0.0496285` Chr`17` : `75,944,650`	0.000	1.000	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.000	1.000	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.000	1.000	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.000	1.000	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.000	1.000	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.000	1.000	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.000	1.000	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.000	1.000	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.000	1.000	0.000
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rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.000	1.000	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	1.000	0.000
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	1.000	0.000
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	1.000	0.000
rs2665838 lBF = `0.106499` Chr`17` : `61,966,465`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs9908102 lBF = `0.0664821` Chr`17` : `12,896,553`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	1.000	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs1043515 lBF = `0.0256615` Chr`17` : `36,922,196`	0.000	1.000	0.000
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.000	1.000	0.000
rs7226229 lBF = `0.0088149` Chr`17` : `20,924,077`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs4006360 lBF = `0.00360154` Chr`17` : `39,250,639`	0.000	1.000	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	1.000	0.000
rs11870068 lBF = `0.00034915` Chr`17` : `65,944,515`	0.000	1.000	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	1.000	0.000
rs2075230 lBF = `-0.00511233` Chr`17` : `7,487,108`	0.000	1.000	0.000
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs7221109 lBF = `-0.0186403` Chr`17` : `38,770,286`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	1.000	0.000
rs7209395 lBF = `-0.0306572` Chr`17` : `64,133,726`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs1549519 lBF = `-0.0354373` Chr`17` : `53,757,787`	0.000	1.000	0.000
rs8070473 lBF = `-0.0358532` Chr`17` : `33,843,512`	0.000	1.000	0.000
rs8076457 lBF = `-0.0365304` Chr`17` : `8,943,929`	0.000	1.000	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs9898058 lBF = `-0.0471767` Chr`17` : `47,818,821`	0.000	1.000	0.000
rs6503905 lBF = `-0.0482082` Chr`17` : `57,287,454`	0.000	1.000	0.000
rs2302190 lBF = `-0.0522082` Chr`17` : `56,584,508`	0.000	1.000	0.000
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	0.000	1.000	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	0.000
rs11079757 lBF = `-0.0562497` Chr`17` : `45,195,850`	0.000	1.000	0.000
rs763512 lBF = `-0.0593166` Chr`17` : `35,889,531`	0.000	1.000	0.000
rs1975974 lBF = `-0.0615655` Chr`17` : `21,707,060`	0.000	1.000	0.000
rs4793501 lBF = `-0.063154` Chr`17` : `68,718,734`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.000	1.000	0.000
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.000	1.000	0.000
rs8067287 lBF = `-0.0678228` Chr`17` : `16,816,656`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs1872085 lBF = `-0.0699987` Chr`17` : `71,528,080`	0.000	1.000	0.000
rs8067165 lBF = `-0.0740107` Chr`17` : `8,031,936`	0.000	1.000	0.000
rs9905820 lBF = `-0.0883363` Chr`17` : `12,637,371`	0.000	1.000	0.000
rs7477 lBF = `-0.0892816` Chr`17` : `16,246,016`	0.000	1.000	0.000
rs320637 lBF = `-0.0934327` Chr`17` : `31,665,328`	0.000	1.000	0.000
rs2190547 lBF = `-0.105046` Chr`17` : `68,929,435`	0.000	1.000	0.000
rs8064454 lBF = `28.4566` Chr`17` : `36,101,586`	0.000	1.000	0.000
rs4430796 lBF = `25.1458` Chr`17` : `36,098,040`	0.000	1.000	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	1.000	0.000
rs2005705 lBF = `18.9001` Chr`17` : `36,096,300`	0.000	1.000	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.000	1.000	0.000
rs7216389 lBF = `14.3028` Chr`17` : `38,069,949`	0.000	1.000	0.000
rs12103884 lBF = `14.2192` Chr`17` : `38,045,725`	0.000	1.000	0.000
rs12950743 lBF = `13.9014` Chr`17` : `38,049,233`	0.000	1.000	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.000	1.000	0.000
rs2305479 lBF = `13.817` Chr`17` : `38,062,217`	0.000	1.000	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	1.000	0.000
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.000	1.000	0.000
rs8067378 lBF = `13.3376` Chr`17` : `38,051,348`	0.000	1.000	0.000
rs9303280 lBF = `13.2746` Chr`17` : `38,074,031`	0.000	1.000	0.000
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.000	1.000	0.000
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.000	1.000	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	1.000	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.000	1.000	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	1.000	0.000
Affx-13851073 lBF = `12.5709` Chr`17` : `38,080,865`	0.000	1.000	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	0.000	1.000	0.000
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.000	1.000	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	1.000	0.000
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.000	1.000	0.000
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.000	1.000	0.000
rs4795405 lBF = `11.8075` Chr`17` : `38,088,417`	0.000	1.000	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.000	1.000	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.000	1.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	1.000	0.000
rs907092 lBF = `10.6486` Chr`17` : `37,922,259`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
rs4794820 lBF = `9.98152` Chr`17` : `38,089,344`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

1.0000

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.9966

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.0998

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

1.0000

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

1.0000

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

1.0000

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

1.0000

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

1.0000

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

1.0000

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

1.0000

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

1.0000

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9999

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9993

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9991

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9988

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9984

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9982

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9976

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9975

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9975

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9969

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9963

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9962

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9935

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9925

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9895

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9889

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9885

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9836

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9790

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9774

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9769

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9714

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9706

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9705

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9598

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9559

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9365

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9339

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9294

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9252

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9212

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9163

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9150

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8881

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8868

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8739

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8634

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.8600

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8391

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8328

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8270

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8189

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8022

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7875

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7667

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7510

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7422

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7410

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7175

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6690

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6553

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6532

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6485

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6440

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6356

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6206

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5948

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5760

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5634

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5586

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5471

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5160

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4722

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4695

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4660

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4657

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4229

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3962

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3938

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3818

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3693

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3593

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3457

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3387

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3362

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3336

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3306

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3011

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2894

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2858

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2666

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2567

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2530

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2334

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2032

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1892

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1707

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1661

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1447

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1368

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1347

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1261

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1154

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1152

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1133

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1110

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1049

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0996

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0978

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0958

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0914

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0874

Cluster X0183

log Bayes Factor = 32.7444

contains 2 variants

0.0857

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.0855

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0824

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0805

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0774

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0759

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0733

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0691

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0652

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0650

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0630

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0626

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0578

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0515

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	Chapter XIV Diseases of the genitourinary system
Nested terms	N30 Cystitis N31 Neuromuscular dysfunction of bladder, not elsewhere classified N32 Other disorders of bladder N33 Bladder disorders in diseases classified elsewhere N34 Urethritis and urethral syndrome N35 Urethral stricture N36 Other disorders of urethra N37 Urethral disorders in diseases classified elsewhere N39 Other disorders of urinary system

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`)