TreeWAS – [Y84.0] Cardiac catheterisation

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
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.729	0.271	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.726	0.274	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.722	0.278	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.717	0.283	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.714	0.286	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.661	0.339	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.630	0.370	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.585	0.415	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.563	0.436	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.558	0.442	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.540	0.460	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.516	0.484	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.493	0.506	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.485	0.515	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.483	0.516	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.481	0.519	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.479	0.521	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.465	0.534	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.464	0.536	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.460	0.540	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.451	0.549	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.448	0.552	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.445	0.554	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.443	0.557	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.433	0.567	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.423	0.577	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.413	0.586	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.412	0.588	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.408	0.592	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.402	0.598	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.389	0.611	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.385	0.615	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.383	0.617	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.364	0.636	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.362	0.638	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.359	0.641	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.356	0.643	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.353	0.647	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.336	0.664	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.330	0.670	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.327	0.672	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.324	0.676	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.323	0.677	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.322	0.678	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.308	0.692	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.301	0.699	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.297	0.703	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.293	0.707	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.291	0.709	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.291	0.709	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.288	0.712	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.287	0.713	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.278	0.722	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.267	0.733	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.264	0.736	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.253	0.747	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.251	0.749	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.248	0.751	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.243	0.757	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.240	0.760	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.238	0.762	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.237	0.763	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.235	0.765	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.230	0.770	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.227	0.773	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.223	0.776	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.218	0.782	0.001
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.208	0.792	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.793	0.207
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.203	0.796	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.203	0.797	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.199	0.800	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.198	0.802	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.196	0.804	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.192	0.807	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.189	0.810	0.001
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.183	0.817	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.178	0.821	0.001
rs2424234 lBF = `0.206305` Chr`20` : `19,363,979`	0.178	0.822	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.177	0.822	0.001
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.174	0.826	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.170	0.830	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.832	0.167
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.167	0.833	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.161	0.839	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.148	0.851	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.145	0.855	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.142	0.858	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.140	0.860	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.139	0.861	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.137	0.863	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.134	0.866	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.129	0.870	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.129	0.871	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.127	0.873	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.125	0.875	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.122	0.878	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.122	0.878	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.120	0.879	0.001
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.120	0.879	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.119	0.881	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.118	0.882	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.115	0.884	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.115	0.885	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.887	0.112
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.109	0.891	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.107	0.893	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.105	0.895	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.099	0.901	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.094	0.906	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.915	0.085
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.084	0.916	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.084	0.916	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.080	0.920	0.000
rs45461993 lBF = `5.77094` Chr`20` : `61,983,901`	0.079	0.921	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.078	0.922	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.075	0.925	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.074	0.925	0.001
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.071	0.929	0.001
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.055	0.945	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.054	0.946	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.049	0.949	0.002
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.050	0.950	0.001
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.049	0.951	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.049	0.951	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.046	0.954	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.045	0.955	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.041	0.958	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.040	0.960	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.033	0.967	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.032	0.968	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.027	0.973	0.001
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.026	0.974	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.025	0.975	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.023	0.976	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.022	0.978	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.019	0.981	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.017	0.983	0.000
rs961253 lBF = `2.77027` Chr`20` : `6,404,281`	0.000	0.984	0.016
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.015	0.985	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.012	0.988	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.012	0.988	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.011	0.988	0.000
rs4810479 lBF = `-0.0946705` Chr`20` : `44,545,048`	0.011	0.989	0.000
rs1203951 lBF = `7.57183` Chr`20` : `22,611,301`	0.010	0.990	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.010	0.990	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.009	0.991	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.007	0.992	0.000
rs6127921 lBF = `-0.0319224` Chr`20` : `55,638,750`	0.007	0.993	0.000
rs6080100 lBF = `-0.113781` Chr`20` : `16,003,406`	0.007	0.993	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.005	0.995	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.005	0.995	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.004	0.995	0.000
rs1465537 lBF = `6.53338` Chr`20` : `57,698,020`	0.004	0.996	0.000
rs157089 lBF = `-0.0601448` Chr`20` : `56,250,943`	0.000	0.996	0.004
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.004	0.996	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.004	0.996	0.000
rs2424460 lBF = `-0.0580349` Chr`20` : `22,740,897`	0.000	0.996	0.004
rs3761168 lBF = `0.0218755` Chr`20` : `8,865,718`	0.004	0.996	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.003	0.996	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.003	0.996	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.003	0.997	0.000
rs4812712 lBF = `-0.08616` Chr`20` : `42,104,939`	0.000	0.997	0.003
rs59329875 lBF = `-0.050512` Chr`20` : `44,547,672`	0.000	0.997	0.003
rs13041247 lBF = `-0.0575665` Chr`20` : `39,269,074`	0.000	0.997	0.003
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.003	0.997	0.000
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.003	0.997	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs6017235 lBF = `0.915693` Chr`20` : `42,620,592`	0.003	0.997	0.000
rs55864139 lBF = `0.0388845` Chr`20` : `40,049,579`	0.003	0.997	0.000
rs1014897 lBF = `0.064475` Chr`20` : `895,457`	0.000	0.997	0.003
rs6073958 lBF = `-0.048734` Chr`20` : `44,551,855`	0.000	0.997	0.003
rs157093 lBF = `-0.0495069` Chr`20` : `56,252,956`	0.000	0.998	0.002
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.002	0.998	0.000
rs17190927 lBF = `0.65024` Chr`20` : `13,123,733`	0.000	0.998	0.002
rs4809847 lBF = `-0.0275072` Chr`20` : `50,108,320`	0.002	0.998	0.000
rs6127978 lBF = `0.10398` Chr`20` : `55,819,173`	0.002	0.998	0.000
rs7679 lBF = `-0.0584116` Chr`20` : `44,576,502`	0.000	0.998	0.002
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs6092477 lBF = `-0.0478855` Chr`20` : `55,991,695`	0.002	0.998	0.000
rs236114 lBF = `-0.0620348` Chr`20` : `5,935,385`	0.000	0.998	0.002
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs6065904 lBF = `-0.0786957` Chr`20` : `44,534,651`	0.000	0.998	0.002
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.002	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.998	0.000
rs4465830 lBF = `-0.0581894` Chr`20` : `44,585,420`	0.000	0.998	0.002
rs6065906 lBF = `-0.0575093` Chr`20` : `44,554,015`	0.000	0.998	0.002
rs6071166 lBF = `-0.0188854` Chr`20` : `37,333,012`	0.000	0.998	0.002
rs6073972 lBF = `-0.0601376` Chr`20` : `44,590,298`	0.000	0.998	0.002
rs1209523 lBF = `-0.0139439` Chr`20` : `22,567,942`	0.000	0.998	0.002
rs67702392 lBF = `-0.0598091` Chr`20` : `8,878,281`	0.002	0.998	0.000
rs13042885 lBF = `-0.025527` Chr`20` : `1,924,707`	0.002	0.998	0.000
rs6026990 lBF = `0.00185688` Chr`20` : `58,177,615`	0.001	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.001	0.998	0.000
rs737092 lBF = `-0.0749227` Chr`20` : `55,990,405`	0.002	0.998	0.000
rs1291101 lBF = `-0.0352245` Chr`20` : `35,494,086`	0.002	0.998	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.001	0.999	0.000
rs17124372 lBF = `0.0324534` Chr`20` : `31,798,437`	0.001	0.999	0.000
rs6080212 lBF = `0.104464` Chr`20` : `16,277,630`	0.001	0.999	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.001	0.999	0.000
rs6026584 lBF = `-0.0362936` Chr`20` : `57,469,073`	0.000	0.999	0.001
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
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rs6022786 lBF = `-0.120712` Chr`20` : `52,447,303`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.000	1.000	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.000	1.000	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.000	1.000	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs1158167 lBF = `-0.00362974` Chr`20` : `23,578,189`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs8123881 lBF = `-0.0297727` Chr`20` : `15,819,495`	0.000	1.000	0.000
rs10485681 lBF = `-0.0409523` Chr`20` : `40,493,072`	0.000	1.000	0.000
rs13040824 lBF = `-0.054021` Chr`20` : `2,225,869`	0.000	1.000	0.000
rs2326679 lBF = `-0.0685404` Chr`20` : `6,035,228`	0.000	1.000	0.000
rs6062788 lBF = `-0.0874556` Chr`20` : `61,693,606`	0.000	1.000	0.000
rs2585417 lBF = `-0.105953` Chr`20` : `52,843,799`	0.000	1.000	0.000
rs28620942 lBF = `-0.110385` Chr`20` : `55,101,317`	0.000	1.000	0.000
rs84824 lBF = `16.3155` Chr`20` : `2,301,285`	0.000	1.000	0.000
rs2236164 lBF = `7.01229` Chr`20` : `34,097,353`	0.000	1.000	0.000
rs6036176 lBF = `5.30879` Chr`20` : `22,668,305`	0.000	1.000	0.000
rs16997087 lBF = `0.11076` Chr`20` : `16,054,982`	0.000	1.000	0.000
rs6085533 lBF = `0.102245` Chr`20` : `6,375,460`	0.000	1.000	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.000	1.000	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.000	1.000	0.000
rs10485813 lBF = `-0.0491565` Chr`20` : `51,583,983`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs17725255 lBF = `-0.071588` Chr`20` : `18,079,131`	0.000	1.000	0.000
rs12480807 lBF = `-0.072081` Chr`20` : `43,064,654`	0.000	1.000	0.000
rs6046396 lBF = `-0.0793566` Chr`20` : `19,852,503`	0.000	1.000	0.000
rs11907546 lBF = `9.88038` Chr`20` : `32,719,797`	0.000	1.000	0.000
rs6060448 lBF = `5.01857` Chr`20` : `34,112,192`	0.000	1.000	0.000
rs1884897 lBF = `0.206925` Chr`20` : `6,612,832`	0.000	1.000	0.000
rs6515773 lBF = `0.0393888` Chr`20` : `3,174,105`	0.000	1.000	0.000
rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.000	1.000	0.000
rs35610040 lBF = `-0.0065854` Chr`20` : `23,616,469`	0.000	1.000	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs2073302 lBF = `-0.0633029` Chr`20` : `13,052,671`	0.000	1.000	0.000
rs7263077 lBF = `-0.067404` Chr`20` : `41,234,578`	0.000	1.000	0.000
rs214803 lBF = `38.436` Chr`20` : `2,290,333`	0.000	1.000	0.000
rs224329 lBF = `36.2774` Chr`20` : `34,019,579`	0.000	1.000	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	1.000	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.000	1.000	0.000
rs4468878 lBF = `0.32969` Chr`20` : `59,928,237`	0.000	1.000	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.000	1.000	0.000
rs6110969 lBF = `0.0647183` Chr`20` : `16,197,510`	0.000	1.000	0.000
rs204664 lBF = `0.0344481` Chr`20` : `532,805`	0.000	1.000	0.000
rs10470013 lBF = `0.0023234` Chr`20` : `49,609,677`	0.000	1.000	0.000
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.000	1.000	0.000
rs965808 lBF = `-0.0162271` Chr`20` : `57,408,426`	0.000	1.000	0.000
rs4549165 lBF = `-0.0357221` Chr`20` : `46,336,026`	0.000	1.000	0.000
rs17723576 lBF = `-0.0475048` Chr`20` : `48,283,633`	0.000	1.000	0.000
rs4815868 lBF = `-0.0577596` Chr`20` : `5,840,539`	0.000	1.000	0.000
rs1320561 lBF = `-0.0649904` Chr`20` : `23,097,880`	0.000	1.000	0.000
rs2224538 lBF = `-0.0802694` Chr`20` : `38,552,078`	0.000	1.000	0.000
rs6136813 lBF = `-0.0822954` Chr`20` : `19,674,218`	0.000	1.000	0.000
rs2073233 lBF = `-0.122407` Chr`20` : `12,874,585`	0.000	1.000	0.000
rs214785 lBF = `36.4332` Chr`20` : `2,283,457`	0.000	1.000	0.000
rs214782 lBF = `35.5963` Chr`20` : `2,281,970`	0.000	1.000	0.000
rs6143035 lBF = `22.0883` Chr`20` : `60,920,700`	0.000	1.000	0.000
rs973409 lBF = `10.4088` Chr`20` : `32,536,364`	0.000	1.000	0.000
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.000	1.000	0.000
rs6062504 lBF = `1.8324` Chr`20` : `62,348,907`	0.000	1.000	0.000
rs2315008 lBF = `1.81178` Chr`20` : `62,343,956`	0.000	1.000	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.000	1.000	0.000
rs6044777 lBF = `0.331462` Chr`20` : `17,368,542`	0.000	1.000	0.000
rs6109680 lBF = `0.314481` Chr`20` : `13,046,591`	0.000	1.000	0.000
rs13036722 lBF = `0.0786236` Chr`20` : `168,020`	0.000	1.000	0.000
rs13037755 lBF = `0.0702108` Chr`20` : `53,411,019`	0.000	1.000	0.000
rs7267421 lBF = `0.0625389` Chr`20` : `15,227,636`	0.000	1.000	0.000
rs911119 lBF = `-0.0082142` Chr`20` : `23,612,737`	0.000	1.000	0.000
rs1028444 lBF = `-0.0547138` Chr`20` : `22,267,058`	0.000	1.000	0.000
rs6079395 lBF = `-0.0571471` Chr`20` : `14,327,899`	0.000	1.000	0.000
rs6070346 lBF = `-0.111049` Chr`20` : `56,663,274`	0.000	1.000	0.000
rs6088813 lBF = `35.2864` Chr`20` : `33,975,181`	0.000	1.000	0.000
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.000	1.000	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.000	1.000	0.000
rs4809330 lBF = `1.79195` Chr`20` : `62,349,586`	0.000	1.000	0.000
rs2423279 lBF = `0.507836` Chr`20` : `7,812,350`	0.000	1.000	0.000
rs11696973 lBF = `0.44522` Chr`20` : `54,126,509`	0.000	1.000	0.000
rs6070116 lBF = `0.366143` Chr`20` : `56,044,184`	0.000	1.000	0.000
rs871913 lBF = `0.115156` Chr`20` : `16,144,345`	0.000	1.000	0.000
rs2144134 lBF = `0.0925736` Chr`20` : `13,148,152`	0.000	1.000	0.000
rs6054383 lBF = `0.0620845` Chr`20` : `6,584,604`	0.000	1.000	0.000
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.000	1.000	0.000
rs6050267 lBF = `-0.0211359` Chr`20` : `25,019,099`	0.000	1.000	0.000
rs8115854 lBF = `-0.021483` Chr`20` : `35,766,337`	0.000	1.000	0.000
rs4815617 lBF = `-0.0351888` Chr`20` : `3,827,309`	0.000	1.000	0.000
rs6013355 lBF = `-0.0379993` Chr`20` : `50,637,660`	0.000	1.000	0.000
rs927833 lBF = `-0.0415113` Chr`20` : `22,041,577`	0.000	1.000	0.000
rs1884136 lBF = `-0.0594906` Chr`20` : `10,850,464`	0.000	1.000	0.000
rs259964 lBF = `-0.0773551` Chr`20` : `57,824,309`	0.000	1.000	0.000
rs2024714 lBF = `-0.097588` Chr`20` : `60,212,494`	0.000	1.000	0.000
rs428445 lBF = `-0.122222` Chr`20` : `55,036,547`	0.000	1.000	0.000
rs143384 lBF = `39.0273` Chr`20` : `34,025,756`	0.000	1.000	0.000
rs4911179 lBF = `34.7706` Chr`20` : `33,972,899`	0.000	1.000	0.000
rs6060373 lBF = `31.6676` Chr`20` : `33,914,208`	0.000	1.000	0.000
rs6059969 lBF = `27.4928` Chr`20` : `33,245,284`	0.000	1.000	0.000
rs6046178 lBF = `8.17463` Chr`20` : `19,533,453`	0.000	1.000	0.000
rs6077414 lBF = `0.594491` Chr`20` : `8,704,552`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7088

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1744

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.9726

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9691

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9571

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9521

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9498

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9402

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9321

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9301

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9218

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9188

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9062

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9043

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8841

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8821

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8653

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8526

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8327

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8312

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8275

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8218

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8199

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8179

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8145

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8108

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8055

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8005

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7721

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7571

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7511

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7460

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7382

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7361

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7306

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7180

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6793

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6497

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6103

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6021

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5974

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5966

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5948

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5935

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5804

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5735

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5639

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5576

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5474

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5440

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5390

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5173

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5010

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4965

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4945

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4916

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4859

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4773

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4748

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4657

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4480

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4384

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4220

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4043

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4008

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3972

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3951

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3935

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3931

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3928

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3914

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3739

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3614

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3600

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3595

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3511

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3502

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3415

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3357

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3250

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3206

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3151

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3144

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3143

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3128

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3112

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2731

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2723

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2659

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2626

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2608

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2584

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2578

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2561

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2480

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2379

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2358

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2345

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2320

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2318

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2249

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2233

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2205

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2172

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2023

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2016

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1919

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1912

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1888

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1878

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1863

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1842

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1669

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1651

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1617

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1609

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1566

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1461

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1433

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1317

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1221

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1145

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1133

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1017

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0998

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0982

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0944

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0908

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0886

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0879

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0873

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0815

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0804

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0771

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0743

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0710

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0694

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0649

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0616

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0601

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0584

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0534

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0529

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`)