TreeWAS – [Z12.5] Special screening examination for neoplasm of prostate

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
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.689	0.311	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.655	0.344	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.653	0.347	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.625	0.375	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.611	0.389	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.603	0.397	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.560	0.440	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.553	0.447	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.524	0.476	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.509	0.490	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.506	0.494	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.493	0.507	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.471	0.529	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.471	0.529	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.453	0.547	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.396	0.603	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.393	0.607	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.359	0.641	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.351	0.649	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.311	0.689	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.307	0.692	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.290	0.709	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.282	0.718	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.262	0.738	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.261	0.739	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.256	0.744	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.239	0.761	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.232	0.768	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.227	0.773	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.221	0.778	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.221	0.779	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.182	0.818	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.179	0.821	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.176	0.824	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.170	0.830	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.158	0.842	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.136	0.864	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.135	0.864	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.124	0.875	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.107	0.892	0.001
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.107	0.893	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.105	0.895	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.100	0.900	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.098	0.902	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.093	0.906	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.093	0.907	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.089	0.911	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.083	0.917	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.080	0.920	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.073	0.927	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.071	0.929	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.071	0.929	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.070	0.930	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.067	0.933	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.063	0.937	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.061	0.939	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.052	0.948	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.046	0.954	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.043	0.957	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.040	0.960	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.040	0.960	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.038	0.962	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.037	0.962	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.033	0.966	0.001
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.032	0.968	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.968	0.032
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.031	0.969	0.001
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.031	0.969	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.029	0.971	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.028	0.972	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.026	0.974	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.025	0.975	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.021	0.978	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.021	0.979	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.021	0.979	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.018	0.982	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.017	0.983	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.016	0.984	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.015	0.985	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.014	0.986	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.013	0.986	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.012	0.987	0.001
rs2005705 lBF = `18.9001` Chr`17` : `36,096,300`	0.012	0.988	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.011	0.989	0.000
rs8064454 lBF = `28.4566` Chr`17` : `36,101,586`	0.011	0.989	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.011	0.989	0.000
rs10908278 lBF = `30.2505` Chr`17` : `36,099,952`	0.011	0.989	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.010	0.989	0.000
rs4430796 lBF = `25.1458` Chr`17` : `36,098,040`	0.000	0.990	0.010
rs11651052 lBF = `28.1116` Chr`17` : `36,102,381`	0.010	0.990	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.990	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.009	0.991	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.009	0.991	0.000
rs11263763 lBF = `28.9425` Chr`17` : `36,103,565`	0.009	0.991	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.009	0.991	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.009	0.991	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.008	0.992	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.008	0.992	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.993	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.007	0.993	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.006	0.994	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.006	0.994	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	0.994	0.006
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.006	0.994	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.005	0.995	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.005	0.995	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.005	0.995	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	0.995	0.005
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.004	0.996	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.004	0.996	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.004	0.996	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.004	0.996	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.004	0.996	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	0.996	0.004
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.004	0.996	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.003	0.996	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.003	0.996	0.000
rs12600635 lBF = `-0.0486726` Chr`17` : `17,142,896`	0.003	0.997	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.003	0.997	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.003	0.997	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.003	0.997	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.003	0.997	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	0.997	0.003
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.002	0.997	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.000	0.997	0.003
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.002	0.998	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.998	0.002
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.002	0.998	0.000
rs12150665 lBF = `0.148449` Chr`17` : `34,914,787`	0.002	0.998	0.000
rs2084881 lBF = `0.376223` Chr`17` : `46,357,120`	0.002	0.998	0.000
rs7209395 lBF = `-0.0306572` Chr`17` : `64,133,726`	0.002	0.998	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.002	0.998	0.000
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.002	0.998	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.002	0.998	0.000
rs8081460 lBF = `0.0270756` Chr`17` : `8,965,272`	0.000	0.998	0.002
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.002	0.998	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.001	0.998	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.001	0.998	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.001	0.998	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.001	0.998	0.000
rs2360111 lBF = `-0.113472` Chr`17` : `831,667`	0.000	0.999	0.001
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.999	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.001	0.999	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs3744763 lBF = `8.02105` Chr`17` : `36,090,885`	0.000	0.999	0.001
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.001	0.999	0.000
rs4646404 lBF = `-0.0761786` Chr`17` : `17,420,199`	0.000	0.999	0.001
rs9902403 lBF = `-0.0502294` Chr`17` : `2,827,958`	0.001	0.999	0.000
rs9908102 lBF = `0.0664821` Chr`17` : `12,896,553`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs3027247 lBF = `-0.0497048` Chr`17` : `8,130,867`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs11867934 lBF = `0.0230859` Chr`17` : `16,933,404`	0.001	0.999	0.000
rs8076457 lBF = `-0.0365304` Chr`17` : `8,943,929`	0.001	0.999	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.001	0.999	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.001	0.999	0.000
rs8073783 lBF = `-0.0163119` Chr`17` : `51,237,941`	0.001	0.999	0.000
rs903107 lBF = `-0.0939653` Chr`17` : `71,061,934`	0.001	0.999	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	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
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
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
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
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.001	0.999	0.000
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	0.001
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.001	0.999	0.000
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs12601991 lBF = `14.0917` Chr`17` : `36,101,633`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.001	0.999	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.001	0.999	0.000
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rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.000	1.000	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	1.000	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.000	1.000	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	1.000	0.000
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.000	1.000	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.000	1.000	0.000
rs116908816 lBF = `0.615666` Chr`17` : `32,422,699`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	1.000	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs8082590 lBF = `0.0572329` Chr`17` : `17,958,402`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs72823592 lBF = `0.0220647` Chr`17` : `46,123,004`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs1007190 lBF = `-0.0305717` Chr`17` : `43,038,209`	0.000	1.000	0.000
rs820217 lBF = `-0.036926` Chr`17` : `73,688,294`	0.000	1.000	0.000
rs7224668 lBF = `-0.0447813` Chr`17` : `79,235,788`	0.000	1.000	0.000
rs929474 lBF = `-0.0507548` Chr`17` : `68,724,036`	0.000	1.000	0.000
rs4796604 lBF = `-0.0670436` Chr`17` : `39,890,876`	0.000	1.000	0.000
rs2447097 lBF = `-0.0797207` Chr`17` : `2,278,064`	0.000	1.000	0.000
rs7477 lBF = `-0.0892816` Chr`17` : `16,246,016`	0.000	1.000	0.000
rs7209700 lBF = `-0.0934874` Chr`17` : `45,351,118`	0.000	1.000	0.000
rs4792394 lBF = `-0.0952234` Chr`17` : `13,684,917`	0.000	1.000	0.000
rs227731 lBF = `-0.0957209` Chr`17` : `54,773,238`	0.000	1.000	0.000
rs2760743 lBF = `6.55443` Chr`17` : `2,017,079`	0.000	1.000	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.000	1.000	0.000
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.000	1.000	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.000	1.000	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.000	1.000	0.000
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.000	1.000	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs12940622 lBF = `0.0309402` Chr`17` : `78,615,571`	0.000	1.000	0.000
rs7503807 lBF = `0.0141674` Chr`17` : `78,591,111`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs4796285 lBF = `-0.00752796` Chr`17` : `35,181,996`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs4986172 lBF = `-0.0437651` Chr`17` : `43,216,281`	0.000	1.000	0.000
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.000	1.000	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	1.000	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	1.000	0.000
rs704 lBF = `-0.082454` Chr`17` : `26,694,861`	0.000	1.000	0.000
rs7224000 lBF = `-0.0877636` Chr`17` : `65,410,934`	0.000	1.000	0.000
rs12453935 lBF = `-0.0882798` Chr`17` : `59,897,455`	0.000	1.000	0.000
rs320637 lBF = `-0.0934327` Chr`17` : `31,665,328`	0.000	1.000	0.000
rs4791774 lBF = `-0.0958877` Chr`17` : `8,932,119`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	1.000	0.000
rs9914258 lBF = `5.38881` Chr`17` : `10,031,642`	0.000	1.000	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.000	1.000	0.000
rs3859192 lBF = `3.26845` Chr`17` : `38,128,648`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs12946454 lBF = `0.0866074` Chr`17` : `43,208,121`	0.000	1.000	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	1.000	0.000
rs906175 lBF = `0.0194719` Chr`17` : `79,173,462`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	1.000	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs7215990 lBF = `-0.0278399` Chr`17` : `6,034,831`	0.000	1.000	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs712039 lBF = `-0.0304748` Chr`17` : `35,850,553`	0.000	1.000	0.000
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs2411984 lBF = `-0.0436694` Chr`17` : `47,445,751`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs7221059 lBF = `-0.092041` Chr`17` : `74,988,444`	0.000	1.000	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.000	1.000	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.000	1.000	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.000	1.000	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	1.000	0.000
rs415430 lBF = `3.99129` Chr`17` : `44,859,144`	0.000	1.000	0.000
rs199515 lBF = `3.83286` Chr`17` : `44,856,641`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.000	1.000	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.000	1.000	0.000
rs3760318 lBF = `0.910229` Chr`17` : `29,247,715`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs4795067 lBF = `0.315804` Chr`17` : `26,106,675`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs962888 lBF = `0.185428` Chr`17` : `43,059,071`	0.000	1.000	0.000
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs8067235 lBF = `-0.00822143` Chr`17` : `79,024,637`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	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

0.0665

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0529

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9824

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9820

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9738

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9645

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9636

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9495

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9240

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9204

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9152

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9128

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8900

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8846

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8648

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8381

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8287

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8212

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8206

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8150

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8114

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8083

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8062

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8007

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8004

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7989

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7978

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7973

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7900

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7876

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7840

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7746

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7693

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7686

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7627

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7578

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7537

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7510

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7447

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7407

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7350

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7325

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7301

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7186

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7149

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7148

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7140

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7126

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7087

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7042

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7001

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6957

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6924

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6883

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6839

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6805

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6594

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6594

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6526

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6464

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6453

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6444

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6397

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6314

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6310

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6259

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6156

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6119

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5784

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5713

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5706

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5631

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5611

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5597

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5571

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5537

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5256

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5249

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4852

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4770

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4753

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4502

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4431

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4424

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4208

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4081

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3998

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3983

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3928

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3892

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3851

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3767

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3696

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3665

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3660

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3610

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3554

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3462

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3454

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3442

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3401

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3382

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3362

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3316

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3185

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3053

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3016

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3001

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2763

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2636

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2535

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2454

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2399

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2249

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1856

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1788

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1726

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1664

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1619

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1528

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1454

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1333

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1323

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1297

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1163

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1136

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0989

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0830

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0810

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0775

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0733

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0728

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0692

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0556

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0527

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`)