TreeWAS – [N42.9] Disorder of prostate, unspecified

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
rs2735839 lBF = `18.4411` Chr`19` : `51,364,623`	0.000	0.014	0.986
rs62113212 lBF = `22.7373` Chr`19` : `51,360,840`	0.000	0.027	0.973
rs17632542 lBF = `23.0514` Chr`19` : `51,361,757`	0.000	0.029	0.971
rs1058205 lBF = `13.3893` Chr`19` : `51,363,398`	0.959	0.041	0.000
rs2659124 lBF = `9.44249` Chr`19` : `51,354,597`	0.730	0.270	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.605	0.395	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.502	0.498	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.486	0.514	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.479	0.521	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.394	0.606	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.371	0.628	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.337	0.663	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.311	0.689	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.301	0.699	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.301	0.699	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.294	0.706	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.283	0.716	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.279	0.721	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.260	0.740	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.244	0.756	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.226	0.773	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.225	0.775	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.222	0.778	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.208	0.792	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.200	0.800	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.187	0.813	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.180	0.820	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.173	0.827	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.171	0.829	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.160	0.839	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.158	0.842	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.144	0.856	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.141	0.858	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.140	0.860	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.138	0.862	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.136	0.864	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.000	0.866	0.134
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.115	0.885	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.115	0.885	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.084	0.916	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.083	0.917	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.073	0.927	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.067	0.933	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.067	0.933	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.063	0.937	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.062	0.938	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.061	0.939	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.057	0.942	0.001
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.054	0.946	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.047	0.953	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.047	0.953	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.046	0.954	0.000
rs10424878 lBF = `2.01027` Chr`19` : `51,374,967`	0.046	0.954	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.045	0.954	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.039	0.961	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.034	0.965	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.033	0.967	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.033	0.967	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.032	0.967	0.001
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.028	0.971	0.001
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.029	0.971	0.000
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.025	0.975	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.024	0.976	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.022	0.977	0.000
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.019	0.980	0.000
rs7250689 lBF = `14.0789` Chr`19` : `38,753,625`	0.019	0.981	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.017	0.983	0.001
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.016	0.984	0.000
rs2361797 lBF = `-0.0783192` Chr`19` : `54,753,543`	0.000	0.984	0.016
rs266849 lBF = `2.0123` Chr`19` : `51,349,090`	0.015	0.985	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.014	0.986	0.000
rs2659051 lBF = `4.31235` Chr`19` : `51,345,568`	0.013	0.987	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.012	0.988	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.010	0.990	0.000
rs644148 lBF = `-0.0431377` Chr`19` : `44,970,935`	0.000	0.990	0.010
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.009	0.991	0.000
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.000	0.991	0.009
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.008	0.991	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.008	0.992	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.006	0.993	0.001
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.006	0.994	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.006	0.994	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.006	0.994	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.006	0.994	0.000
rs12982744 lBF = `0.297028` Chr`19` : `2,177,193`	0.006	0.994	0.000
rs12986413 lBF = `-0.0520656` Chr`19` : `2,170,954`	0.006	0.994	0.000
rs11880992 lBF = `0.471001` Chr`19` : `2,176,403`	0.006	0.994	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.005	0.995	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.005	0.995	0.000
rs10038 lBF = `-0.0708724` Chr`19` : `18,892,728`	0.000	0.995	0.005
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.004	0.996	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.004	0.996	0.000
rs314669 lBF = `-0.0872059` Chr`19` : `47,168,129`	0.000	0.996	0.004
rs2664156 lBF = `-0.0826303` Chr`19` : `51,377,163`	0.004	0.996	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.002	0.996	0.002
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.003	0.997	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.003	0.997	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.003	0.997	0.000
rs76478271 lBF = `-0.00813885` Chr`19` : `41,325,199`	0.003	0.997	0.001
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.002	0.997	0.000
rs16966122 lBF = `0.219204` Chr`19` : `32,158,464`	0.003	0.997	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.003	0.997	0.000
rs10401193 lBF = `4.24901` Chr`19` : `19,591,066`	0.000	0.998	0.002
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.002	0.998	0.000
rs11671104 lBF = `-0.0398445` Chr`19` : `22,794,686`	0.000	0.998	0.002
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.002	0.998	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.001	0.998	0.001
rs144790747 lBF = `0.0347014` Chr`19` : `14,487,347`	0.000	0.998	0.002
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.001	0.998	0.000
rs11083475 lBF = `0.0471047` Chr`19` : `39,188,112`	0.002	0.998	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.001	0.998	0.000
rs2974238 lBF = `0.0753486` Chr`19` : `48,117,061`	0.000	0.998	0.002
rs2262909 lBF = `-0.110434` Chr`19` : `22,135,270`	0.002	0.998	0.000
rs12610250 lBF = `-0.0556392` Chr`19` : `8,277,713`	0.002	0.998	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.001	0.998	0.001
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.001	0.998	0.000
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.998	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.001	0.998	0.000
rs34536443 lBF = `10.435` Chr`19` : `10,463,118`	0.001	0.998	0.000
rs386000 lBF = `-0.0508419` Chr`19` : `54,792,761`	0.002	0.998	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.001	0.998	0.000
rs931608 lBF = `0.00097034` Chr`19` : `22,614,122`	0.000	0.999	0.001
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.001	0.999	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.001	0.999	0.000
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.001	0.999	0.000
rs6859 lBF = `25.5207` Chr`19` : `45,382,034`	0.001	0.999	0.000
rs72986630 lBF = `0.00911748` Chr`19` : `11,849,736`	0.000	0.999	0.001
rs62110082 lBF = `0.123822` Chr`19` : `52,338,641`	0.000	0.999	0.001
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.001	0.999	0.000
rs3936340 lBF = `0.00107011` Chr`19` : `48,527,582`	0.000	0.999	0.001
rs7250872 lBF = `-0.0733468` Chr`19` : `1,811,603`	0.001	0.999	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.001	0.999	0.000
rs562638 lBF = `0.0184321` Chr`19` : `39,849,789`	0.000	0.999	0.001
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.001	0.999	0.000
rs11879191 lBF = `0.330898` Chr`19` : `10,512,911`	0.000	0.999	0.001
rs7937 lBF = `0.114849` Chr`19` : `41,302,706`	0.001	0.999	0.000
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs10409958 lBF = `0.020407` Chr`19` : `46,953,382`	0.000	0.999	0.001
rs12721054 lBF = `0.00020901` Chr`19` : `45,422,587`	0.001	0.999	0.000
rs10407640 lBF = `-0.0201231` Chr`19` : `34,766,588`	0.001	0.999	0.000
rs35164067 lBF = `0.27608` Chr`19` : `10,525,181`	0.000	0.999	0.001
rs151060619 lBF = `0.00020631` Chr`19` : `47,213,311`	0.001	0.999	0.000
rs138814219 lBF = `0.00009949` Chr`19` : `47,196,646`	0.001	0.999	0.000
rs114855972 lBF = `0.00009949` Chr`19` : `47,194,886`	0.001	0.999	0.000
rs139399000 lBF = `0.00009949` Chr`19` : `47,204,441`	0.001	0.999	0.000
rs147565295 lBF = `0.00009949` Chr`19` : `47,195,255`	0.001	0.999	0.000
rs75185364 lBF = `0.00009949` Chr`19` : `47,192,941`	0.001	0.999	0.000
rs1047781 lBF = `0.00008525` Chr`19` : `49,206,631`	0.001	0.999	0.000
rs115824942 lBF = `0.00008384` Chr`19` : `47,208,382`	0.001	0.999	0.000
rs10415749 lBF = `-0.00000079` Chr`19` : `11,652,720`	0.001	0.999	0.000
rs9807841 lBF = `-0.0408581` Chr`19` : `10,817,656`	0.000	0.999	0.001
rs7258249 lBF = `-0.0892357` Chr`19` : `8,271,721`	0.001	0.999	0.000
rs7595 lBF = `-0.0898956` Chr`19` : `54,697,079`	0.000	0.999	0.001
rs147615524 lBF = `0` Chr`19` : `1,205,889`	0.001	0.999	0.001
rs117403524 lBF = `0` Chr`19` : `20,635,291`	0.001	0.999	0.001
rs142080098 lBF = `0` Chr`19` : `7,796,550`	0.001	0.999	0.001
rs142119409 lBF = `0` Chr`19` : `16,116,431`	0.001	0.999	0.001
rs10408126 lBF = `0` Chr`19` : `13,245,968`	0.001	0.999	0.001
rs184381023 lBF = `0` Chr`19` : `41,947,225`	0.001	0.999	0.001
rs189265675 lBF = `0` Chr`19` : `5,907,423`	0.001	0.999	0.001
rs76617915 lBF = `0` Chr`19` : `41,538,078`	0.001	0.999	0.001
rs144556038 lBF = `0` Chr`19` : `53,085,847`	0.001	0.999	0.001
rs58632700 lBF = `0` Chr`19` : `58,992,001`	0.001	0.999	0.001
rs111563375 lBF = `0` Chr`19` : `5,908,762`	0.001	0.999	0.001
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.001	0.999	0.000
rs17249141 lBF = `-0.00002178` Chr`19` : `11,200,008`	0.001	0.999	0.000
rs3745618 lBF = `-0.00006132` Chr`19` : `47,575,716`	0.001	0.999	0.000
rs2108622 lBF = `-0.0334891` Chr`19` : `15,990,431`	0.000	0.999	0.001
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.001	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.001	0.999	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.001	0.999	0.000
rs8112449 lBF = `-0.0804357` Chr`19` : `10,520,064`	0.000	0.999	0.001
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.001	0.999	0.000
rs2111504 lBF = `0.0368977` Chr`19` : `32,917,455`	0.001	0.999	0.000
rs12459897 lBF = `-0.00660074` Chr`19` : `31,596,778`	0.000	0.999	0.001
rs3810265 lBF = `-0.0001881` Chr`19` : `50,223,266`	0.000	0.999	0.000
rs892073 lBF = `-0.0404383` Chr`19` : `29,912,294`	0.000	0.999	0.001
rs1801272 lBF = `0.25333` Chr`19` : `41,354,533`	0.000	0.999	0.001
rs167479 lBF = `18.201` Chr`19` : `11,526,765`	0.000	0.999	0.001
rs8111071 lBF = `3.8254` Chr`19` : `46,307,406`	0.001	0.999	0.000
rs11083840 lBF = `-0.0115573` Chr`19` : `47,119,910`	0.001	0.999	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.001	0.999	0.000
rs973009 lBF = `-0.0464056` Chr`19` : `39,174,332`	0.001	0.999	0.000
rs3865444 lBF = `0.590737` Chr`19` : `51,727,962`	0.001	0.999	0.000
rs2965260 lBF = `-0.0627948` Chr`19` : `53,780,026`	0.000	0.999	0.001
rs8102476 lBF = `13.155` Chr`19` : `38,735,613`	0.000	0.999	0.001
rs10411210 lBF = `1.24033` Chr`19` : `33,532,300`	0.001	0.999	0.000
rs8100241 lBF = `0.0778512` Chr`19` : `17,392,894`	0.001	0.999	0.000
rs3987765 lBF = `-0.00285578` Chr`19` : `51,713,743`	0.000	0.999	0.001
rs11669133 lBF = `0.390843` Chr`19` : `11,092,139`	0.000	0.999	0.001
rs2005199 lBF = `0.14949` Chr`19` : `52,033,206`	0.000	0.999	0.001
rs3826656 lBF = `-0.0688108` Chr`19` : `51,726,613`	0.000	0.999	0.001
rs1434579 lBF = `-0.0763562` Chr`19` : `44,932,972`	0.001	0.999	0.000
rs76561599 lBF = `5.44755` Chr`19` : `18,749,085`	0.001	0.999	0.000
rs11669592 lBF = `-0.0375247` Chr`19` : `3,318,510`	0.001	0.999	0.000
rs2230245 lBF = `-0.0455294` Chr`19` : `50,909,765`	0.001	0.999	0.000
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rs80285556 lBF = `-0.0376127` Chr`19` : `50,540,170`	0.000	1.000	0.000
rs7255066 lBF = `-0.0503042` Chr`19` : `45,146,103`	0.000	1.000	0.000
rs8102754 lBF = `-0.0804684` Chr`19` : `29,489,042`	0.000	1.000	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.000	1.000	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.000	1.000	0.000
rs12975033 lBF = `7.07797` Chr`19` : `49,249,443`	0.000	1.000	0.000
rs11085727 lBF = `1.40057` Chr`19` : `10,466,123`	0.000	1.000	0.000
rs4147929 lBF = `0.111207` Chr`19` : `1,063,443`	0.000	1.000	0.000
rs8099917 lBF = `0.0629772` Chr`19` : `39,743,165`	0.000	1.000	0.000
rs111730030 lBF = `0.039148` Chr`19` : `13,268,826`	0.000	1.000	0.000
rs1423096 lBF = `0.0227416` Chr`19` : `7,739,177`	0.000	1.000	0.000
rs17634917 lBF = `0.015084` Chr`19` : `56,265,664`	0.000	1.000	0.000
rs3803915 lBF = `-0.00117709` Chr`19` : `2,160,529`	0.000	1.000	0.000
rs12460584 lBF = `-0.0326852` Chr`19` : `51,186,081`	0.000	1.000	0.000
rs11673509 lBF = `-0.0641991` Chr`19` : `5,080,647`	0.000	1.000	0.000
rs8111500 lBF = `-0.0814552` Chr`19` : `49,152,955`	0.000	1.000	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.000	1.000	0.000
rs281377 lBF = `7.9369` Chr`19` : `49,206,603`	0.000	1.000	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.000	1.000	0.000
rs10419226 lBF = `3.20466` Chr`19` : `18,803,172`	0.000	1.000	0.000
rs10416218 lBF = `2.47638` Chr`19` : `33,599,127`	0.000	1.000	0.000
rs12720356 lBF = `1.81492` Chr`19` : `10,469,975`	0.000	1.000	0.000
rs2116940 lBF = `0.15479` Chr`19` : `10,310,392`	0.000	1.000	0.000
rs11671653 lBF = `0.0656012` Chr`19` : `10,838,486`	0.000	1.000	0.000
rs17764205 lBF = `0.0609106` Chr`19` : `3,251,219`	0.000	1.000	0.000
rs2043599 lBF = `0.0545247` Chr`19` : `56,451,049`	0.000	1.000	0.000
rs11671010 lBF = `-0.0129902` Chr`19` : `35,559,474`	0.000	1.000	0.000
rs187568415 lBF = `-0.018983` Chr`19` : `11,734,626`	0.000	1.000	0.000
rs740406 lBF = `-0.0227422` Chr`19` : `2,232,221`	0.000	1.000	0.000
rs17726276 lBF = `-0.036061` Chr`19` : `41,291,119`	0.000	1.000	0.000
rs8192733 lBF = `-0.0561514` Chr`19` : `41,349,550`	0.000	1.000	0.000
rs10414149 lBF = `-0.0903832` Chr`19` : `52,127,744`	0.000	1.000	0.000
rs8108707 lBF = `6.62886` Chr`19` : `11,474,335`	0.000	1.000	0.000
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.000	1.000	0.000
rs7250071 lBF = `0.458713` Chr`19` : `10,765,819`	0.000	1.000	0.000
rs2288884 lBF = `0.098259` Chr`19` : `52,532,271`	0.000	1.000	0.000
rs1800469 lBF = `0.0206843` Chr`19` : `41,860,296`	0.000	1.000	0.000
rs11668609 lBF = `0.00990234` Chr`19` : `24,355,493`	0.000	1.000	0.000
rs7260598 lBF = `0.00277552` Chr`19` : `24,222,786`	0.000	1.000	0.000
rs889122 lBF = `-0.00912507` Chr`19` : `9,995,867`	0.000	1.000	0.000
rs11083846 lBF = `-0.0278177` Chr`19` : `47,207,654`	0.000	1.000	0.000
rs8105815 lBF = `-0.0363676` Chr`19` : `41,673,848`	0.000	1.000	0.000
rs183353539 lBF = `-0.0422568` Chr`19` : `6,992,244`	0.000	1.000	0.000
rs1273516 lBF = `-0.0567327` Chr`19` : `15,677,710`	0.000	1.000	0.000
rs57837628 lBF = `-0.0909624` Chr`19` : `41,357,910`	0.000	1.000	0.000
rs879564 lBF = `-0.0941102` Chr`19` : `4,768,917`	0.000	1.000	0.000
rs398426 lBF = `-0.102157` Chr`19` : `34,321,258`	0.000	1.000	0.000
rs3745367 lBF = `-0.104677` Chr`19` : `7,734,511`	0.000	1.000	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.000	1.000	0.000
rs7248104 lBF = `1.00902` Chr`19` : `7,224,431`	0.000	1.000	0.000
rs8170 lBF = `0.54398` Chr`19` : `17,389,704`	0.000	1.000	0.000
rs7246967 lBF = `0.367199` Chr`19` : `23,056,346`	0.000	1.000	0.000
rs1984450 lBF = `0.311369` Chr`19` : `53,013,799`	0.000	1.000	0.000
rs17695224 lBF = `0.258766` Chr`19` : `52,324,216`	0.000	1.000	0.000
rs8012 lBF = `0.224737` Chr`19` : `13,010,520`	0.000	1.000	0.000
rs2303745 lBF = `0.153752` Chr`19` : `17,420,289`	0.000	1.000	0.000
rs4926244 lBF = `0.0914543` Chr`19` : `13,374,913`	0.000	1.000	0.000
rs10500264 lBF = `0.080598` Chr`19` : `33,750,314`	0.000	1.000	0.000
rs4802307 lBF = `0.0791814` Chr`19` : `46,849,806`	0.000	1.000	0.000
rs4806073 lBF = `0.0778706` Chr`19` : `35,555,190`	0.000	1.000	0.000
rs1688043 lBF = `0.0619284` Chr`19` : `35,553,341`	0.000	1.000	0.000
rs2545770 lBF = `0.0318178` Chr`19` : `41,324,180`	0.000	1.000	0.000
rs1661178 lBF = `0.0280686` Chr`19` : `45,046,352`	0.000	1.000	0.000
rs17692896 lBF = `0.00749583` Chr`19` : `33,089,431`	0.000	1.000	0.000
rs2195987 lBF = `-0.00098138` Chr`19` : `24,149,545`	0.000	1.000	0.000
rs8109578 lBF = `-0.00224085` Chr`19` : `10,213,154`	0.000	1.000	0.000
rs11085824 lBF = `-0.0467481` Chr`19` : `13,001,547`	0.000	1.000	0.000
rs12986207 lBF = `-0.049548` Chr`19` : `29,903,677`	0.000	1.000	0.000
rs995834 lBF = `-0.0854908` Chr`19` : `28,866,596`	0.000	1.000	0.000
rs6510725 lBF = `-0.128862` Chr`19` : `348,743`	0.000	1.000	0.000
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	0.000	1.000	0.000
rs2228671 lBF = `38.6156` Chr`19` : `11,210,912`	0.000	1.000	0.000
rs34328549 lBF = `11.7329` Chr`19` : `7,253,184`	0.000	1.000	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.000	1.000	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.000	1.000	0.000
rs2569559 lBF = `8.14733` Chr`19` : `11,214,533`	0.000	1.000	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.000	1.000	0.000
rs2288904 lBF = `7.03602` Chr`19` : `10,742,170`	0.000	1.000	0.000
rs2287019 lBF = `1.69038` Chr`19` : `46,202,172`	0.000	1.000	0.000
rs6508941 lBF = `0.664334` Chr`19` : `41,015,965`	0.000	1.000	0.000
rs1654260 lBF = `0.1714` Chr`19` : `20,329,111`	0.000	1.000	0.000
rs2164983 lBF = `0.168329` Chr`19` : `8,789,381`	0.000	1.000	0.000
rs2918307 lBF = `0.147061` Chr`19` : `8,789,722`	0.000	1.000	0.000
rs8105429 lBF = `0.113411` Chr`19` : `18,481,333`	0.000	1.000	0.000
rs8105265 lBF = `0.0722344` Chr`19` : `2,920,705`	0.000	1.000	0.000
rs4141232 lBF = `0.0528967` Chr`19` : `29,035,556`	0.000	1.000	0.000
rs7255045 lBF = `0.0363917` Chr`19` : `12,932,269`	0.000	1.000	0.000
rs8113308 lBF = `0.00240832` Chr`19` : `52,445,386`	0.000	1.000	0.000
rs10412199 lBF = `-0.00347688` Chr`19` : `3,927,771`	0.000	1.000	0.000
rs11671007 lBF = `-0.0159052` Chr`19` : `2,893,405`	0.000	1.000	0.000
rs3815700 lBF = `-0.0233894` Chr`19` : `33,093,252`	0.000	1.000	0.000
rs2546057 lBF = `-0.0933029` Chr`19` : `34,320,854`	0.000	1.000	0.000
rs891088 lBF = `-0.0961251` Chr`19` : `7,184,762`	0.000	1.000	0.000
rs6511720 lBF = `79.2472` Chr`19` : `11,202,306`	0.000	1.000	0.000
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.000	1.000	0.000
rs112374545 lBF = `78.2181` Chr`19` : `11,188,899`	0.000	1.000	0.000
rs56289821 lBF = `77.2625` Chr`19` : `11,188,247`	0.000	1.000	0.000
rs11668477 lBF = `39.7389` Chr`19` : `11,195,030`	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 X0317

log Bayes Factor = 95.4365

contains 2 variants

0.9996

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.9868

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1120

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.1078

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.9953

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.9942

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9351

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8820

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8700

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8561

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8289

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7972

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7971

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7931

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7416

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7386

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7265

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7260

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6733

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6000

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5923

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5857

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5672

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5631

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5474

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5156

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4998

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4973

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4862

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4633

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4600

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4369

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4091

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3525

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2896

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2807

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2676

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2600

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2572

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2163

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2155

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2112

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2107

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2041

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2010

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1955

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1873

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1793

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1783

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1737

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1627

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1619

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1598

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1577

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1499

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1363

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1292

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1171

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1156

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1138

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1107

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0993

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0886

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0846

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0724

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0706

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0675

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0622

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0611

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0585

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0561

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0526

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`)