TreeWAS – [I36] Nonrheumatic tricuspid valve disorders

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
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	0.170	0.830
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.775	0.225	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.769	0.231	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.761	0.239	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.761	0.239	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.754	0.246	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.749	0.250	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.748	0.252	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.742	0.258	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.738	0.262	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.736	0.264	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.727	0.273	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.719	0.281	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.717	0.283	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.717	0.283	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.717	0.283	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.716	0.284	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.715	0.285	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.714	0.286	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.713	0.287	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.713	0.287	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.711	0.289	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.711	0.289	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.710	0.289	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.706	0.294	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.705	0.295	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.702	0.297	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.694	0.306	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.687	0.313	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.686	0.313	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.685	0.315	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.684	0.316	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.684	0.316	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.670	0.330	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.669	0.331	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.664	0.336	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.640	0.360	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.620	0.380	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.619	0.381	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.608	0.392	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.605	0.395	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.603	0.397	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.595	0.405	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.595	0.405	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.579	0.420	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.573	0.427	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.571	0.429	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.568	0.432	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.564	0.436	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.553	0.447	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.549	0.451	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.534	0.466	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.517	0.483	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.507	0.493	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.504	0.495	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.494	0.505	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.490	0.510	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.483	0.516	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.478	0.522	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.477	0.523	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.475	0.525	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.464	0.536	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.457	0.543	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.450	0.550	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.430	0.569	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	0.602	0.398
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.393	0.606	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.327	0.673	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.293	0.707	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.291	0.709	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.713	0.287
rs116908816 lBF = `0.615666` Chr`17` : `32,422,699`	0.268	0.732	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.259	0.741	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.248	0.752	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.227	0.773	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.217	0.783	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.207	0.793	0.001
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.194	0.806	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.185	0.815	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.182	0.818	0.001
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.179	0.821	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.000	0.852	0.148
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.147	0.853	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.142	0.858	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.142	0.858	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.135	0.864	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.131	0.869	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.128	0.872	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.121	0.879	0.000
rs35895680 lBF = `0.224475` Chr`17` : `47,060,322`	0.000	0.880	0.120
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.101	0.899	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.100	0.900	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.087	0.913	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.087	0.913	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.084	0.916	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.933	0.066
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.060	0.940	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.052	0.948	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.051	0.949	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.046	0.954	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.045	0.955	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.045	0.955	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.041	0.959	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.030	0.970	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.021	0.971	0.008
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.029	0.971	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.028	0.972	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.027	0.973	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.025	0.975	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.023	0.976	0.001
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	0.977	0.023
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.021	0.977	0.002
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.022	0.978	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	0.980	0.019
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.019	0.981	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.018	0.981	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.018	0.982	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.015	0.985	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.014	0.986	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.014	0.986	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.000	0.986	0.014
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.013	0.987	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.012	0.988	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.012	0.988	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.011	0.989	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	0.989	0.011
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.011	0.989	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.010	0.989	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.010	0.990	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.007	0.990	0.003
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.010	0.990	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.010	0.990	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.009	0.991	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.009	0.991	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.007	0.993	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.007	0.993	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.006	0.994	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.005	0.995	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.005	0.995	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.004	0.995	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.004	0.995	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.004	0.996	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.004	0.996	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.004	0.996	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.004	0.996	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.004	0.996	0.000
rs46522 lBF = `0.667709` Chr`17` : `46,988,597`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.001
rs318095 lBF = `0.767402` Chr`17` : `46,974,734`	0.003	0.997	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.002	0.997	0.000
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.002	0.998	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.002	0.998	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.002	0.998	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.002	0.998	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.002	0.998	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.002	0.998	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	0.998	0.002
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.002	0.998	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.000	0.998	0.002
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.002	0.998	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.002	0.998	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.001	0.998	0.000
rs7222591 lBF = `5.54307` Chr`17` : `47,507,019`	0.000	0.998	0.001
rs2760743 lBF = `6.55443` Chr`17` : `2,017,079`	0.001	0.999	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.001	0.999	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.001	0.999	0.000
rs56364076 lBF = `-0.0536795` Chr`17` : `40,565,035`	0.000	0.999	0.001
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	0.999	0.001
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	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
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
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
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
rs144908958 lBF = `0` Chr`17` : `31,532,414`	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
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rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.000	1.000	0.000
rs9299 lBF = `0.0624181` Chr`17` : `46,669,430`	0.000	1.000	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs9894429 lBF = `0.0357377` Chr`17` : `79,596,811`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	1.000	0.000
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	1.000	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	1.000	0.000
rs2315504 lBF = `-0.0661126` Chr`17` : `39,046,881`	0.000	1.000	0.000
rs1503059 lBF = `-0.0679629` Chr`17` : `50,204,456`	0.000	1.000	0.000
rs2453580 lBF = `-0.0891733` Chr`17` : `19,438,321`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.000	1.000	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	1.000	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.000	1.000	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.000	1.000	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.000	1.000	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.000	1.000	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.000	1.000	0.000
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.000	1.000	0.000
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.000	1.000	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	1.000	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
Affx-13922976 lBF = `5.36343` Chr`17` : `43,659,975`	0.000	1.000	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.000	1.000	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs216205 lBF = `0.627465` Chr`17` : `2,196,150`	0.000	1.000	0.000
rs1292053 lBF = `0.359007` Chr`17` : `57,963,537`	0.000	1.000	0.000
rs2074409 lBF = `0.184138` Chr`17` : `35,898,342`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs4640244 lBF = `0.109956` Chr`17` : `21,284,223`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	1.000	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	1.000	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	1.000	0.000
rs2075230 lBF = `-0.00511233` Chr`17` : `7,487,108`	0.000	1.000	0.000
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.000	1.000	0.000
rs8066985 lBF = `-0.00771845` Chr`17` : `68,453,345`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	1.000	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	1.000	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	1.000	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	1.000	0.000
rs2378870 lBF = `-0.0356024` Chr`17` : `59,638,623`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.000	1.000	0.000
rs623323 lBF = `-0.0439502` Chr`17` : `700,020`	0.000	1.000	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	1.000	0.000
rs1035050 lBF = `-0.0589331` Chr`17` : `47,564,012`	0.000	1.000	0.000
rs4625783 lBF = `-0.0606171` Chr`17` : `80,086,395`	0.000	1.000	0.000
rs1046875 lBF = `-0.0895966` Chr`17` : `80,685,426`	0.000	1.000	0.000
rs1046896 lBF = `-0.091256` Chr`17` : `80,685,533`	0.000	1.000	0.000
rs244293 lBF = `-0.0930749` Chr`17` : `53,230,722`	0.000	1.000	0.000
rs903107 lBF = `-0.0939653` Chr`17` : `71,061,934`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	1.000	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	1.000	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	1.000	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.000	1.000	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.000	1.000	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	1.000	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.000	1.000	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.000	1.000	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.000	1.000	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	1.000	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.000	1.000	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.000	1.000	0.000
Affx-13926609 lBF = `8.66443` Chr`17` : `43,881,790`	0.000	1.000	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.000	1.000	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	1.000	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	1.000	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	1.000	0.000
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.000	1.000	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	1.000	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.000	1.000	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	1.000	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.000	1.000	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.000	1.000	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.000	1.000	0.000
Affx-13928850 lBF = `7.97634` Chr`17` : `44,017,124`	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 X0112

log Bayes Factor = 98.8923

contains 7 variants

0.9521

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.8778

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5932

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4513

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9871

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9714

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9546

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9512

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9486

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9483

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9404

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9394

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9345

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9308

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9270

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9259

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9232

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9208

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9172

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9153

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9142

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9115

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9009

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8890

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8871

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8851

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8849

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8818

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8815

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8777

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8742

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8736

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8727

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8722

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8715

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8692

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8638

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8609

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8605

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8546

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8519

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8515

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8514

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8509

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8482

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8468

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8467

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8465

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8453

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8444

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8440

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8429

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8378

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8373

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8296

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8292

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8273

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8263

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8244

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8243

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8220

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8207

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8146

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8129

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8118

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8114

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8106

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8085

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8044

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8026

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8019

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7980

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7973

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7941

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7928

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7873

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7830

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7821

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7819

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7813

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7812

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7810

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7798

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7786

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7771

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7761

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7690

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7651

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7639

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7621

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7605

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7578

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7536

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7407

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7372

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7351

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7337

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7252

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7200

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7169

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7167

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7166

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7166

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7165

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7149

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7083

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7042

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7026

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.7024

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6984

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6958

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6927

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.6888

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6887

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6871

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6863

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6761

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6646

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.6536

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6479

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6467

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6378

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.6375

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6361

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6352

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6215

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.6179

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6062

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6014

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5914

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5599

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5487

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5091

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5090

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4779

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4260

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4205

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4180

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3906

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3715

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3666

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3619

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3517

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2961

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1726

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1511

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0974

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0875

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0766

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0713

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	I30-I52 Other forms of heart disease
Nested terms	I36.0 Nonrheumatic tricuspid (valve) stenosis I36.1 Nonrheumatic tricuspid (valve) insufficiency I36.2 Nonrheumatic tricuspid (valve) stenosis with insufficiency I36.8 Other nonrheumatic tricuspid valve disorders I36.9 Nonrheumatic tricuspid valve disorder, unspecified

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`)