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
rs118081660 lBF = `13.4828` Chr`10` : `22,403,894`	1.000	0.000	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	1.000	0.000	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	1.000	0.000	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	1.000	0.000	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.999	0.001	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.998	0.002	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.995	0.005	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.994	0.006	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.993	0.007	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.993	0.007	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.991	0.009	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.987	0.013	0.000
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.986	0.014	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.984	0.016	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.980	0.020	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.977	0.023	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.950	0.050	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.939	0.061	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.925	0.075	0.000
rs16906916 lBF = `1.34245` Chr`10` : `56,848,985`	0.919	0.081	0.000
rs11199874 lBF = `17.2829` Chr`10` : `123,032,519`	0.919	0.081	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.918	0.082	0.000
Affx-2643209 lBF = `10.2281` Chr`10` : `123,081,100`	0.889	0.111	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.884	0.116	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.881	0.119	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.873	0.127	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.858	0.142	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.856	0.144	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.853	0.147	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.852	0.148	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.848	0.152	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.826	0.174	0.000
rs112905267 lBF = `0.981897` Chr`10` : `131,228,327`	0.821	0.179	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.810	0.190	0.000
rs10788160 lBF = `19.1751` Chr`10` : `123,033,549`	0.784	0.216	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.783	0.217	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.783	0.217	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.768	0.232	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.748	0.252	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.733	0.267	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.731	0.269	0.000
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.723	0.277	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.722	0.278	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.719	0.281	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.714	0.286	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.692	0.308	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.689	0.311	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.688	0.312	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.677	0.323	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.673	0.327	0.000
rs12251332 lBF = `1.13603` Chr`10` : `67,966,574`	0.664	0.335	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.649	0.351	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.643	0.357	0.000
rs55816310 lBF = `1.74282` Chr`10` : `134,832,927`	0.632	0.368	0.000
rs192665745 lBF = `0.476184` Chr`10` : `26,627,381`	0.625	0.375	0.000
rs16921209 lBF = `0.463938` Chr`10` : `21,168,103`	0.624	0.376	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.615	0.385	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.611	0.389	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.610	0.390	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.595	0.405	0.000
rs877767 lBF = `16.3472` Chr`10` : `74,032,366`	0.591	0.409	0.000
rs112302542 lBF = `0.46417` Chr`10` : `131,185,011`	0.567	0.433	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.556	0.444	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.553	0.447	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.479	0.521	0.000
rs7915008 lBF = `12.4533` Chr`10` : `123,025,225`	0.474	0.526	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.461	0.539	0.000
rs56161216 lBF = `0.444654` Chr`10` : `13,688,798`	0.444	0.556	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.441	0.559	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.439	0.561	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.436	0.564	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.431	0.569	0.000
rs1320448 lBF = `0.303776` Chr`10` : `105,846,074`	0.000	0.600	0.400
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.386	0.613	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.383	0.617	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.374	0.626	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.371	0.629	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.371	0.629	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.371	0.629	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.360	0.640	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.351	0.649	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.348	0.652	0.000
rs113808744 lBF = `0.238469` Chr`10` : `71,749,675`	0.338	0.662	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.327	0.673	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.325	0.675	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.323	0.677	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.313	0.687	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.311	0.689	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.304	0.696	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.296	0.704	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.294	0.706	0.000
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.287	0.713	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.279	0.721	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.271	0.729	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.269	0.731	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.264	0.736	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.249	0.751	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.240	0.760	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.240	0.760	0.000
rs117607728 lBF = `3.6111` Chr`10` : `96,058,636`	0.238	0.762	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.234	0.765	0.001
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.220	0.780	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.212	0.788	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.211	0.789	0.000
rs190474885 lBF = `0.802771` Chr`10` : `104,973,317`	0.208	0.792	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.207	0.793	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.204	0.796	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.203	0.797	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.202	0.798	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.201	0.799	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.196	0.804	0.000
rs1439466 lBF = `15.9754` Chr`10` : `122,654,969`	0.195	0.805	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.184	0.816	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.179	0.821	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.168	0.832	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.167	0.833	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.163	0.837	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.153	0.847	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.149	0.851	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.146	0.854	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.146	0.854	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.146	0.854	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.145	0.855	0.000
rs10828735 lBF = `0.0965051` Chr`10` : `25,240,084`	0.145	0.855	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.137	0.863	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.137	0.863	0.000
rs17119461 lBF = `0.368346` Chr`10` : `107,516,352`	0.135	0.864	0.001
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.134	0.865	0.002
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.123	0.877	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.121	0.879	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.121	0.879	0.000
rs11000019 lBF = `0.102417` Chr`10` : `73,591,530`	0.112	0.888	0.000
rs150663673 lBF = `0.635408` Chr`10` : `25,407,209`	0.111	0.889	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.109	0.891	0.000
rs72810761 lBF = `1.39362` Chr`10` : `22,377,958`	0.101	0.899	0.000
rs11814448 lBF = `0.651102` Chr`10` : `22,315,843`	0.100	0.900	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.099	0.901	0.000
rs11256676 lBF = `0.0557523` Chr`10` : `10,601,860`	0.093	0.907	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.092	0.908	0.000
rs7919823 lBF = `2.04323` Chr`10` : `22,036,491`	0.085	0.915	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.082	0.918	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.081	0.919	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.080	0.920	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.078	0.921	0.002
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.079	0.921	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.078	0.922	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.077	0.923	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.071	0.929	0.000
rs4750535 lBF = `0.0785788` Chr`10` : `14,633,024`	0.000	0.935	0.065
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.064	0.936	0.000
rs11006923 lBF = `0.107217` Chr`10` : `28,504,944`	0.063	0.937	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.058	0.941	0.001
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.059	0.941	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.058	0.942	0.000
rs147596965 lBF = `4.05083` Chr`10` : `10,116,874`	0.057	0.943	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.056	0.944	0.000
rs12248541 lBF = `0.0326331` Chr`10` : `105,390,343`	0.049	0.951	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.048	0.952	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.047	0.953	0.000
rs7921536 lBF = `0.0314492` Chr`10` : `105,356,837`	0.047	0.953	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.043	0.955	0.002
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.043	0.957	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.040	0.960	0.000
rs73245065 lBF = `0.116166` Chr`10` : `30,899,291`	0.036	0.964	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.032	0.968	0.000
rs7902334 lBF = `0.015734` Chr`10` : `12,645,941`	0.031	0.969	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.029	0.971	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.028	0.972	0.000
rs117850870 lBF = `0.254485` Chr`10` : `50,523,748`	0.028	0.972	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.028	0.972	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.027	0.973	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.013	0.973	0.014
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.022	0.978	0.000
rs780676 lBF = `0.185887` Chr`10` : `73,113,931`	0.022	0.978	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.022	0.978	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.019	0.981	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.019	0.981	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.018	0.982	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.017	0.983	0.000
rs1250307 lBF = `0.0215103` Chr`10` : `31,495,974`	0.017	0.983	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.017	0.983	0.000
rs17432979 lBF = `0.0908503` Chr`10` : `9,064,602`	0.000	0.984	0.016
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.015	0.985	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.014	0.986	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.014	0.986	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.013	0.987	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.013	0.987	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.012	0.987	0.000
rs147729365 lBF = `0.00743449` Chr`10` : `12,482,907`	0.012	0.988	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.012	0.988	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.012	0.988	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.011	0.989	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.011	0.989	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.010	0.989	0.000
rs79538733 lBF = `-0.0165118` Chr`10` : `71,500,897`	0.010	0.990	0.000
rs12257323 lBF = `0.971239` Chr`10` : `22,494,143`	0.010	0.990	0.000
rs768606 lBF = `0.0303909` Chr`10` : `9,277,525`	0.010	0.990	0.000
rs1148233 lBF = `0.00772989` Chr`10` : `31,461,599`	0.009	0.990	0.000
rs1084004 lBF = `0.297869` Chr`10` : `73,121,945`	0.009	0.991	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.007	0.992	0.001
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.008	0.992	0.000
rs192858301 lBF = `0.00606176` Chr`10` : `24,071,006`	0.007	0.992	0.000
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rs4747011 lBF = `-0.0171857` Chr`10` : `72,114,378`	0.000	1.000	0.000
rs11187842 lBF = `5.56677` Chr`10` : `96,052,511`	0.000	1.000	0.000
rs75473620 lBF = `0.144411` Chr`10` : `96,019,029`	0.000	1.000	0.000
rs7922491 lBF = `0.0456084` Chr`10` : `53,493,473`	0.000	1.000	0.000
rs2797501 lBF = `0.0188912` Chr`10` : `5,804,531`	0.000	1.000	0.000
rs1997066 lBF = `0.0101851` Chr`10` : `106,763,563`	0.000	1.000	0.000
rs7077335 lBF = `0.00301948` Chr`10` : `6,315,794`	0.000	1.000	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.000	1.000	0.000
rs7894051 lBF = `0.137164` Chr`10` : `135,184,421`	0.000	1.000	0.000
rs2477664 lBF = `0.00420855` Chr`10` : `17,875,816`	0.000	1.000	0.000
rs10886159 lBF = `0.00119789` Chr`10` : `119,613,610`	0.000	1.000	0.000
rs61860854 lBF = `-0.00330457` Chr`10` : `61,339,893`	0.000	1.000	0.000
rs4838594 lBF = `-0.0541591` Chr`10` : `49,669,142`	0.000	1.000	0.000
rs1733724 lBF = `-0.0621754` Chr`10` : `54,223,977`	0.000	1.000	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.000	1.000	0.000
rs17854135 lBF = `7.59042` Chr`10` : `101,667,792`	0.000	1.000	0.000
rs2274351 lBF = `1.33227` Chr`10` : `104,264,107`	0.000	1.000	0.000
rs17145612 lBF = `0.168459` Chr`10` : `5,918,432`	0.000	1.000	0.000
rs7895244 lBF = `-0.00674697` Chr`10` : `98,432,703`	0.000	1.000	0.000
rs7916968 lBF = `-0.0278577` Chr`10` : `759,268`	0.000	1.000	0.000
rs10999409 lBF = `-0.0467677` Chr`10` : `72,332,440`	0.000	1.000	0.000
rs10900020 lBF = `0.514056` Chr`10` : `44,827,197`	0.000	1.000	0.000
rs12256830 lBF = `0.132379` Chr`10` : `55,384,743`	0.000	1.000	0.000
rs10857636 lBF = `0.090408` Chr`10` : `49,985,110`	0.000	1.000	0.000
rs10794720 lBF = `0.062675` Chr`10` : `1,156,165`	0.000	1.000	0.000
rs10786436 lBF = `0.0460682` Chr`10` : `100,300,182`	0.000	1.000	0.000
rs12768811 lBF = `0.0342091` Chr`10` : `33,474,751`	0.000	1.000	0.000
rs7901794 lBF = `0.0169418` Chr`10` : `64,877,938`	0.000	1.000	0.000
rs4406737 lBF = `0.00642288` Chr`10` : `90,759,724`	0.000	1.000	0.000
rs17154929 lBF = `0.00177234` Chr`10` : `44,524,675`	0.000	1.000	0.000
rs45479699 lBF = `-0.0031724` Chr`10` : `12,749,062`	0.000	1.000	0.000
rs11819364 lBF = `-0.00470806` Chr`10` : `129,043,310`	0.000	1.000	0.000
rs17558301 lBF = `-0.0197576` Chr`10` : `25,880,459`	0.000	1.000	0.000
rs1570271 lBF = `-0.0398572` Chr`10` : `115,288,501`	0.000	1.000	0.000
rs10741243 lBF = `-0.0424437` Chr`10` : `132,947,962`	0.000	1.000	0.000
rs181654 lBF = `-0.0958728` Chr`10` : `119,379,656`	0.000	1.000	0.000
rs75768999 lBF = `-0.100724` Chr`10` : `61,690,195`	0.000	1.000	0.000
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	1.000	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.000	1.000	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.000	1.000	0.000
rs703965 lBF = `10.3829` Chr`10` : `80,955,067`	0.000	1.000	0.000
rs12570824 lBF = `7.11255` Chr`10` : `65,730,654`	0.000	1.000	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.000	1.000	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.000	1.000	0.000
rs113793030 lBF = `0.0882916` Chr`10` : `72,046,860`	0.000	1.000	0.000
rs35766269 lBF = `0.0588944` Chr`10` : `9,023,815`	0.000	1.000	0.000
rs6480314 lBF = `0.0366134` Chr`10` : `69,967,447`	0.000	1.000	0.000
rs1329201 lBF = `0.0188355` Chr`10` : `83,188,953`	0.000	1.000	0.000
rs1907926 lBF = `0.0107681` Chr`10` : `58,339,241`	0.000	1.000	0.000
rs1536827 lBF = `0.00330861` Chr`10` : `135,306,158`	0.000	1.000	0.000
rs10994397 lBF = `-0.00370148` Chr`10` : `62,279,124`	0.000	1.000	0.000
rs77329626 lBF = `-0.0147371` Chr`10` : `61,664,195`	0.000	1.000	0.000
rs1044261 lBF = `-0.0323485` Chr`10` : `1,065,710`	0.000	1.000	0.000
rs10763642 lBF = `-0.0522657` Chr`10` : `28,388,150`	0.000	1.000	0.000
rs12764441 lBF = `-0.0800977` Chr`10` : `72,691,651`	0.000	1.000	0.000
rs2039964 lBF = `-0.106385` Chr`10` : `108,254,464`	0.000	1.000	0.000
rs2981578 lBF = `83.9794` Chr`10` : `123,340,311`	0.000	1.000	0.000
rs1631281 lBF = `9.53385` Chr`10` : `123,390,785`	0.000	1.000	0.000
rs1687727 lBF = `8.86611` Chr`10` : `27,895,339`	0.000	1.000	0.000
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.000	1.000	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.000	1.000	0.000
rs1219515 lBF = `3.43486` Chr`10` : `123,431,245`	0.000	1.000	0.000
rs705162 lBF = `3.13668` Chr`10` : `125,251,675`	0.000	1.000	0.000
rs11012167 lBF = `2.68855` Chr`10` : `20,862,401`	0.000	1.000	0.000
rs7094310 lBF = `0.0891915` Chr`10` : `6,791,034`	0.000	1.000	0.000
rs704010 lBF = `0.0503519` Chr`10` : `80,841,148`	0.000	1.000	0.000
rs12220014 lBF = `0.0368169` Chr`10` : `30,576,938`	0.000	1.000	0.000
rs16923476 lBF = `0.0351103` Chr`10` : `23,858,211`	0.000	1.000	0.000
rs118048115 lBF = `0.00285925` Chr`10` : `122,279,476`	0.000	1.000	0.000
rs74122981 lBF = `0.00138068` Chr`10` : `14,790,203`	0.000	1.000	0.000
rs7912580 lBF = `-0.00031847` Chr`10` : `63,915,972`	0.000	1.000	0.000
rs11101730 lBF = `-0.0111725` Chr`10` : `135,197,336`	0.000	1.000	0.000
rs7893279 lBF = `-0.0308261` Chr`10` : `18,745,105`	0.000	1.000	0.000
rs114540395 lBF = `-0.04106` Chr`10` : `103,479,062`	0.000	1.000	0.000
rs11017221 lBF = `-0.0459045` Chr`10` : `132,168,065`	0.000	1.000	0.000
rs1930170 lBF = `-0.0707914` Chr`10` : `56,217,752`	0.000	1.000	0.000
rs12413624 lBF = `-0.117163` Chr`10` : `120,278,944`	0.000	1.000	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.000	1.000	0.000
rs7896600 lBF = `8.72865` Chr`10` : `12,255,175`	0.000	1.000	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.000	1.000	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.000	1.000	0.000
rs11196181 lBF = `6.91775` Chr`10` : `114,749,018`	0.000	1.000	0.000
rs45631630 lBF = `6.07045` Chr`10` : `123,340,824`	0.000	1.000	0.000
rs7072122 lBF = `1.45378` Chr`10` : `45,034,672`	0.000	1.000	0.000
rs11198013 lBF = `0.343369` Chr`10` : `119,253,738`	0.000	1.000	0.000
rs17601696 lBF = `0.263335` Chr`10` : `123,120,036`	0.000	1.000	0.000
rs14168 lBF = `0.217798` Chr`10` : `53,455,562`	0.000	1.000	0.000
rs41295115 lBF = `0.105064` Chr`10` : `6,124,621`	0.000	1.000	0.000
rs7071247 lBF = `0.0854566` Chr`10` : `105,257,786`	0.000	1.000	0.000
rs34014631 lBF = `0.0705175` Chr`10` : `103,698,705`	0.000	1.000	0.000
rs10764775 lBF = `0.0593899` Chr`10` : `130,233,808`	0.000	1.000	0.000
rs149613931 lBF = `0.0545058` Chr`10` : `103,550,281`	0.000	1.000	0.000
rs1890185 lBF = `0.0537457` Chr`10` : `104,748,718`	0.000	1.000	0.000
rs10883817 lBF = `0.0502355` Chr`10` : `104,755,431`	0.000	1.000	0.000
rs7899106 lBF = `0.050152` Chr`10` : `87,410,904`	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 X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0293

log Bayes Factor = 169.051

contains 7 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`)