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
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.890	0.110	0.000
rs2005705 lBF = `18.9001` Chr`17` : `36,096,300`	0.656	0.344	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.593	0.407	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.539	0.461	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.501	0.498	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.500	0.500	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.475	0.525	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.467	0.533	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.461	0.539	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.459	0.541	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.456	0.544	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.451	0.549	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.432	0.568	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.412	0.588	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.399	0.601	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.395	0.605	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.384	0.616	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.377	0.623	0.000
rs11263763 lBF = `28.9425` Chr`17` : `36,103,565`	0.372	0.628	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.364	0.636	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.363	0.637	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.359	0.640	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.352	0.648	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.347	0.653	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.327	0.673	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.323	0.676	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.322	0.678	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.299	0.701	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.296	0.704	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.295	0.705	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.294	0.706	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.268	0.731	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.267	0.732	0.001
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.255	0.745	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.232	0.768	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.220	0.780	0.000
rs11651052 lBF = `28.1116` Chr`17` : `36,102,381`	0.213	0.787	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.206	0.794	0.001
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.204	0.795	0.001
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.204	0.796	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.201	0.799	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.186	0.814	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.168	0.832	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.150	0.850	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.149	0.851	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.148	0.852	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.147	0.852	0.001
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.136	0.864	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.136	0.864	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.136	0.864	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.134	0.865	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.130	0.870	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.129	0.871	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.116	0.883	0.000
rs8064454 lBF = `28.4566` Chr`17` : `36,101,586`	0.115	0.885	0.000
rs10908278 lBF = `30.2505` Chr`17` : `36,099,952`	0.112	0.888	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.100	0.898	0.001
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.100	0.900	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.000	0.912	0.088
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.085	0.915	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.071	0.929	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.062	0.938	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.061	0.939	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	0.940	0.060
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.059	0.941	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.058	0.942	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.054	0.946	0.001
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.050	0.950	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.047	0.953	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.047	0.953	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.046	0.953	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.046	0.953	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.043	0.957	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.041	0.959	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.040	0.960	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.037	0.963	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.035	0.964	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.035	0.965	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.031	0.969	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.031	0.969	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.027	0.973	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.024	0.976	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.023	0.976	0.001
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.022	0.978	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.020	0.980	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.020	0.980	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.020	0.980	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.019	0.980	0.000
rs3744763 lBF = `8.02105` Chr`17` : `36,090,885`	0.000	0.983	0.017
rs3785574 lBF = `-0.0197042` Chr`17` : `61,763,185`	0.015	0.985	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.013	0.987	0.001
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.011	0.989	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.011	0.989	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.011	0.989	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.010	0.989	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	0.989	0.011
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.010	0.990	0.001
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.010	0.990	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.009	0.991	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.009	0.991	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.009	0.991	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.008	0.991	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.007	0.993	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.006	0.993	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.006	0.994	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.005	0.994	0.001
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.006	0.994	0.000
rs4430796 lBF = `25.1458` Chr`17` : `36,098,040`	0.000	0.994	0.006
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.006	0.994	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.006	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.005	0.994	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.005	0.995	0.001
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.005	0.995	0.000
rs2070776 lBF = `-0.0513655` Chr`17` : `62,007,498`	0.000	0.995	0.005
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.004	0.995	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.003	0.995	0.002
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.004	0.996	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.004	0.996	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.004	0.996	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.004	0.996	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.003	0.997	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.003	0.997	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.003	0.997	0.000
rs4793501 lBF = `-0.063154` Chr`17` : `68,718,734`	0.000	0.997	0.003
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.003	0.997	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.003	0.997	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.000	0.997	0.003
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.003	0.997	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.000	0.997	0.002
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.997	0.002
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.002	0.998	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.002	0.998	0.001
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.002	0.998	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.002	0.998	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.002	0.998	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.002	0.998	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.001	0.998	0.001
rs8082590 lBF = `0.0572329` Chr`17` : `17,958,402`	0.002	0.998	0.000
rs2079795 lBF = `0.106328` Chr`17` : `59,496,649`	0.002	0.998	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	0.998	0.002
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.002	0.998	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.000	0.998	0.002
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.001	0.998	0.001
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.002	0.998	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs757608 lBF = `0.246952` Chr`17` : `59,497,277`	0.002	0.998	0.000
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.000	0.998	0.002
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.002	0.998	0.000
rs4795519 lBF = `-0.0896733` Chr`17` : `25,541,278`	0.002	0.998	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.001	0.998	0.001
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.000	0.998	0.002
rs4617927 lBF = `0.0387266` Chr`17` : `53,356,126`	0.002	0.998	0.000
rs4792814 lBF = `0.168162` Chr`17` : `43,403,005`	0.000	0.998	0.002
rs929474 lBF = `-0.0507548` Chr`17` : `68,724,036`	0.000	0.998	0.001
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.000	0.999	0.001
rs2315504 lBF = `-0.0661126` Chr`17` : `39,046,881`	0.000	0.999	0.001
rs2279913 lBF = `-0.0836422` Chr`17` : `79,168,268`	0.001	0.999	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.001	0.999	0.000
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.001	0.999	0.000
rs7224610 lBF = `-0.0163906` Chr`17` : `53,364,788`	0.000	0.999	0.001
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.001	0.999	0.000
rs1380181 lBF = `-0.0707018` Chr`17` : `15,193,056`	0.001	0.999	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	0.999	0.001
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.001	0.999	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.001	0.999	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.001	0.999	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs28587833 lBF = `-0.0953642` Chr`17` : `78,511,327`	0.000	0.999	0.001
rs8079702 lBF = `-0.0689908` Chr`17` : `68,190,826`	0.001	0.999	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.001	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	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
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs12600635 lBF = `-0.0486726` Chr`17` : `17,142,896`	0.001	0.999	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.001	0.999	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.001	0.999	0.000
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
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
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
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
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rs199515 lBF = `3.83286` Chr`17` : `44,856,641`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs559972 lBF = `0.05985` Chr`17` : `27,814,496`	0.000	1.000	0.000
rs9900280 lBF = `0.0517773` Chr`17` : `27,769,598`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs4794202 lBF = `-0.0447461` Chr`17` : `45,930,539`	0.000	1.000	0.000
rs12103884 lBF = `14.2192` Chr`17` : `38,045,725`	0.000	1.000	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	1.000	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.000	1.000	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.000	1.000	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	1.000	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.000	1.000	0.000
rs7206961 lBF = `0.0336412` Chr`17` : `72,042,520`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs7207499 lBF = `-0.0518373` Chr`17` : `64,447,165`	0.000	1.000	0.000
rs1431318 lBF = `-0.0635643` Chr`17` : `54,192,523`	0.000	1.000	0.000
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	0.000	1.000	0.000
rs12950743 lBF = `13.9014` Chr`17` : `38,049,233`	0.000	1.000	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	1.000	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.000	1.000	0.000
rs2289681 lBF = `0.280258` Chr`17` : `42,989,088`	0.000	1.000	0.000
rs1000940 lBF = `0.0375032` Chr`17` : `5,283,252`	0.000	1.000	0.000
rs9894429 lBF = `0.0357377` Chr`17` : `79,596,811`	0.000	1.000	0.000
rs12940622 lBF = `0.0309402` Chr`17` : `78,615,571`	0.000	1.000	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	1.000	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	1.000	0.000
rs164009 lBF = `-0.0778174` Chr`17` : `74,283,669`	0.000	1.000	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	1.000	0.000
rs415430 lBF = `3.99129` Chr`17` : `44,859,144`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.000	1.000	0.000
rs11655550 lBF = `0.0523183` Chr`17` : `37,610,123`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.000	1.000	0.000
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	1.000	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	1.000	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	1.000	0.000
rs3889237 lBF = `-0.0929532` Chr`17` : `64,779,430`	0.000	1.000	0.000
rs2291447 lBF = `-0.113286` Chr`17` : `43,212,963`	0.000	1.000	0.000
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.000	1.000	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.000	1.000	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.000	1.000	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs228769 lBF = `0.109429` Chr`17` : `42,193,185`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	1.000	0.000
rs199501 lBF = `6.03665` Chr`17` : `44,862,613`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	1.000	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	1.000	0.000
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs10521232 lBF = `0.0694156` Chr`17` : `13,539,804`	0.000	1.000	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.000	1.000	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	1.000	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.000	1.000	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.000	1.000	0.000
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.000	1.000	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	0.000	1.000	0.000
rs12150665 lBF = `0.148449` Chr`17` : `34,914,787`	0.000	1.000	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	1.000	0.000
rs3816995 lBF = `0.0613038` Chr`17` : `71,335,260`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	1.000	0.000
rs12451788 lBF = `-0.0296921` Chr`17` : `1,941,048`	0.000	1.000	0.000
rs12936587 lBF = `-0.0793414` Chr`17` : `17,543,722`	0.000	1.000	0.000
rs17780256 lBF = `-0.0818525` Chr`17` : `70,642,923`	0.000	1.000	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.000	1.000	0.000
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.000	1.000	0.000
rs1034927 lBF = `5.00381` Chr`17` : `44,334,419`	0.000	1.000	0.000
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.000	1.000	0.000
rs1231206 lBF = `2.89602` Chr`17` : `2,125,605`	0.000	1.000	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.000	1.000	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs3027247 lBF = `-0.0497048` Chr`17` : `8,130,867`	0.000	1.000	0.000
rs1513670 lBF = `-0.0762696` Chr`17` : `41,807,331`	0.000	1.000	0.000
rs892961 lBF = `-0.100491` Chr`17` : `75,400,100`	0.000	1.000	0.000
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.000	1.000	0.000
rs4795405 lBF = `11.8075` Chr`17` : `38,088,417`	0.000	1.000	0.000
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.000	1.000	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	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`)