TreeWAS – [I23.2] Ventricular septal defect as current complication following acute myocardial infarction

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	0.399	0.601
rs2302783 lBF = `5.36933` Chr`17` : `66,447,073`	0.000	0.413	0.587
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.574	0.426	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.562	0.438	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	0.441	0.559
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.557	0.443	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.551	0.448	0.000
rs216196 lBF = `8.07442` Chr`17` : `2,202,943`	0.000	0.451	0.549
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.546	0.454	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.539	0.461	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.532	0.467	0.000
rs6504218 lBF = `0.518288` Chr`17` : `62,408,299`	0.531	0.469	0.000
rs4987082 lBF = `9.49246` Chr`17` : `47,481,374`	0.521	0.479	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.519	0.481	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.516	0.484	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.514	0.486	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.514	0.486	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.514	0.486	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.514	0.486	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.514	0.486	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.514	0.486	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.514	0.486	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.514	0.486	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.514	0.486	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.514	0.486	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.513	0.486	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.513	0.486	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.513	0.486	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.513	0.487	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.513	0.487	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.512	0.488	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.511	0.488	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.511	0.489	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.511	0.489	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.510	0.490	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.509	0.490	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.502	0.498	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.497	0.503	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.495	0.505	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.488	0.512	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.486	0.513	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.483	0.517	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.483	0.517	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.469	0.531	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.464	0.536	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.462	0.537	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.540	0.460
rs7222591 lBF = `5.54307` Chr`17` : `47,507,019`	0.457	0.542	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.455	0.544	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.445	0.554	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.425	0.575	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.419	0.581	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.417	0.582	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.410	0.590	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.408	0.592	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.407	0.593	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.393	0.607	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.386	0.614	0.000
rs1994884 lBF = `5.45058` Chr`17` : `2,084,008`	0.384	0.616	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.379	0.620	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.375	0.625	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.368	0.632	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.356	0.643	0.000
rs2760743 lBF = `6.55443` Chr`17` : `2,017,079`	0.329	0.671	0.000
rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	0.000	0.690	0.310
rs216205 lBF = `0.627465` Chr`17` : `2,196,150`	0.000	0.700	0.300
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.294	0.705	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.276	0.723	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.266	0.734	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.251	0.748	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.251	0.749	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.241	0.759	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.240	0.760	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.236	0.764	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.233	0.767	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.229	0.771	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.225	0.774	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.225	0.775	0.000
rs9914266 lBF = `3.07775` Chr`17` : `2,133,250`	0.220	0.780	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.217	0.782	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.186	0.813	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.186	0.814	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.182	0.818	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.181	0.818	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.176	0.823	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.172	0.828	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.170	0.829	0.000
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.164	0.835	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.163	0.837	0.000
rs1231206 lBF = `2.89602` Chr`17` : `2,125,605`	0.150	0.850	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.143	0.857	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.137	0.863	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	0.865	0.135
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.133	0.867	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.132	0.868	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.128	0.872	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.127	0.873	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	0.124	0.875	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.124	0.876	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.000	0.880	0.119
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.885	0.115
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.112	0.888	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.106	0.894	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.104	0.896	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	0.907	0.092
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.092	0.908	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.091	0.909	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.090	0.909	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.088	0.912	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.000	0.912	0.088
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.080	0.920	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.078	0.921	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.077	0.922	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.075	0.925	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.073	0.927	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.070	0.930	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.067	0.932	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.065	0.934	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.056	0.944	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.056	0.944	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.053	0.946	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.053	0.946	0.000
rs4523957 lBF = `1.52831` Chr`17` : `2,208,899`	0.000	0.949	0.051
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.050	0.950	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.048	0.952	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.048	0.952	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.043	0.956	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.041	0.958	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.038	0.962	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.037	0.963	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.035	0.965	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.034	0.966	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.033	0.967	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.029	0.970	0.001
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.028	0.972	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.024	0.976	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.022	0.977	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.022	0.978	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.022	0.978	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.020	0.980	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.004	0.981	0.014
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.011	0.982	0.007
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.016	0.984	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.016	0.984	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	0.985	0.015
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.014	0.986	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.013	0.987	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.012	0.988	0.000
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.000	0.989	0.010
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.010	0.990	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.009	0.991	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.008	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.008	0.992	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.007	0.992	0.001
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.007	0.993	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.006	0.993	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.006	0.993	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.005	0.994	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.005	0.994	0.000
rs7206971 lBF = `-0.0210073` Chr`17` : `45,425,115`	0.005	0.994	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.004	0.995	0.001
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.005	0.995	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.004	0.995	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.004	0.996	0.000
rs35895680 lBF = `0.224475` Chr`17` : `47,060,322`	0.000	0.996	0.004
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.000	0.996	0.003
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.996	0.000
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	0.997	0.003
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.002	0.997	0.001
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.002	0.997	0.001
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.003	0.997	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.002	0.997	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.002	0.997	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	0.998	0.002
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.002	0.998	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.002	0.998	0.001
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.002	0.998	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.001	0.998	0.001
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.002	0.998	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.002	0.998	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.002	0.998	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.001	0.998	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.001	0.998	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.001	0.998	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.001	0.999	0.000
rs11655550 lBF = `0.0523183` Chr`17` : `37,610,123`	0.000	0.999	0.001
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.001	0.999	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.001	0.999	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	0.999	0.001
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.001	0.999	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.001
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.001	0.999	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.001	0.999	0.000
rs7212938 lBF = `5.09178` Chr`17` : `38,122,680`	0.001	0.999	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	0.999	0.001
rs2935183 lBF = `-0.018225` Chr`17` : `45,607,572`	0.000	0.999	0.001
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.001	0.999	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.001	0.999	0.000
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rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.000	0.999	0.000
rs623011 lBF = `-0.0326514` Chr`17` : `68,259,446`	0.000	0.999	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	0.999	0.000
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	0.000	0.999	0.000
rs2293152 lBF = `-0.0506452` Chr`17` : `40,481,529`	0.000	0.999	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	0.999	0.000
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.000	0.999	0.000
rs2271316 lBF = `-0.0721074` Chr`17` : `6,915,401`	0.000	0.999	0.000
rs1354492 lBF = `-0.0878239` Chr`17` : `31,737,421`	0.000	0.999	0.000
rs1046896 lBF = `-0.091256` Chr`17` : `80,685,533`	0.000	0.999	0.000
rs1019238 lBF = `-0.0923717` Chr`17` : `54,278,715`	0.000	0.999	0.000
rs7209700 lBF = `-0.0934874` Chr`17` : `45,351,118`	0.000	0.999	0.000
rs12950390 lBF = `-0.102435` Chr`17` : `45,830,948`	0.000	0.999	0.000
rs2079515 lBF = `-0.10604` Chr`17` : `68,913,506`	0.000	0.999	0.000
rs2291447 lBF = `-0.113286` Chr`17` : `43,212,963`	0.000	0.999	0.000
rs4795405 lBF = `11.8075` Chr`17` : `38,088,417`	0.000	0.999	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	0.999	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	0.999	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.000	0.999	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	0.999	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	0.999	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	0.999	0.000
Affx-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	0.000	0.999	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	0.999	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	0.999	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.000	0.999	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	0.999	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.000	0.999	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	0.999	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	0.999	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	0.999	0.000
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.000	0.999	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.000	0.999	0.000
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.000	0.999	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.000	0.999	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.000	0.999	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.000	0.999	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.000	0.999	0.000
rs10445337 lBF = `7.56478` Chr`17` : `44,067,400`	0.000	0.999	0.000
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.000	0.999	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	0.999	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	0.999	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	0.999	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	0.999	0.000
Affx-13922976 lBF = `5.36343` Chr`17` : `43,659,975`	0.000	0.999	0.000
rs870829 lBF = `5.15067` Chr`17` : `38,068,382`	0.000	0.999	0.000
rs7207400 lBF = `5.06352` Chr`17` : `43,824,360`	0.000	0.999	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.000	0.999	0.000
rs2732703 lBF = `4.25554` Chr`17` : `44,353,222`	0.000	0.999	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.000	0.999	0.000
rs7211029 lBF = `3.19542` Chr`17` : `77,141,308`	0.000	0.999	0.000
rs11649743 lBF = `1.66786` Chr`17` : `36,074,979`	0.000	0.999	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	0.999	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	0.999	0.000
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.000	0.999	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.000	0.999	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	0.999	0.000
rs11657044 lBF = `0.832578` Chr`17` : `59,450,105`	0.000	0.999	0.000
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.000	0.999	0.000
rs318095 lBF = `0.767402` Chr`17` : `46,974,734`	0.000	0.999	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	0.999	0.000
rs46522 lBF = `0.667709` Chr`17` : `46,988,597`	0.000	0.999	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.000	0.999	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	0.999	0.000
rs2908972 lBF = `0.401177` Chr`17` : `11,407,259`	0.000	0.999	0.000
rs1292053 lBF = `0.359007` Chr`17` : `57,963,537`	0.000	0.999	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	0.999	0.000
rs727428 lBF = `0.234682` Chr`17` : `7,537,792`	0.000	0.999	0.000
rs2074409 lBF = `0.184138` Chr`17` : `35,898,342`	0.000	0.999	0.000
rs4924935 lBF = `0.131716` Chr`17` : `18,753,870`	0.000	0.999	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	0.999	0.000
rs1870584 lBF = `0.027536` Chr`17` : `12,047,544`	0.000	0.999	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	0.999	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	0.999	0.000
rs1043515 lBF = `0.0256615` Chr`17` : `36,922,196`	0.000	0.999	0.000
rs72823592 lBF = `0.0220647` Chr`17` : `46,123,004`	0.000	0.999	0.000
rs4792192 lBF = `0.0208944` Chr`17` : `11,803,461`	0.000	0.999	0.000
rs9902453 lBF = `0.0184464` Chr`17` : `28,349,095`	0.000	0.999	0.000
rs11653176 lBF = `0.012337` Chr`17` : `59,447,369`	0.000	0.999	0.000
rs7219451 lBF = `0.00919412` Chr`17` : `38,957,002`	0.000	0.999	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	0.999	0.000
rs1642764 lBF = `0.0051968` Chr`17` : `7,557,834`	0.000	0.999	0.000
rs12936361 lBF = `0.00462479` Chr`17` : `68,108,417`	0.000	0.999	0.000
rs4006360 lBF = `0.00360154` Chr`17` : `39,250,639`	0.000	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	0.999	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	0.999	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	0.999	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	0.999	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.000	0.999	0.000
rs7503953 lBF = `-0.00427826` Chr`17` : `6,141,677`	0.000	0.999	0.000
rs2326017 lBF = `-0.00508694` Chr`17` : `46,720,565`	0.000	0.999	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	0.999	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	0.999	0.000
rs6504909 lBF = `-0.00947766` Chr`17` : `52,548,125`	0.000	0.999	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	0.999	0.000
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	0.999	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	0.999	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.000	0.999	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 X0002

log Bayes Factor = 522.044

contains 22 variants

0.7057

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

0.5189

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5140

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5140

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4897

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.4484

Cluster X0034

log Bayes Factor = 665.104

contains 16 variants

0.2826

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.7985

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.7438

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6281

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.6263

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6040

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5844

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.5837

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5810

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5724

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5691

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5671

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5656

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5579

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5523

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5515

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5454

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5268

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5140

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5140

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5140

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5140

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5140

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5140

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5140

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5140

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5140

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5140

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5140

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5140

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5140

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5140

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5140

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5140

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5140

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5140

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5140

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5140

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5140

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5140

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5140

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5140

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5140

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5140

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5139

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5139

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5139

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5138

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5138

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5136

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5131

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5130

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5128

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5128

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5128

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5112

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5104

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5080

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5032

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5001

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4933

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4931

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4816

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4767

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4762

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.4727

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4640

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4636

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4627

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4616

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.4574

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4475

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4446

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4385

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4363

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4149

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3976

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3948

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3941

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3866

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.3825

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3782

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3615

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3610

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3205

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2880

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2693

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2562

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2383

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2287

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2119

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2060

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1989

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1935

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1913

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1907

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1804

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1746

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1641

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1609

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1523

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1404

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1330

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1257

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1221

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1210

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1209

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0988

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0953

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0905

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0874

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0862

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0829

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0819

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0734

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0691

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0689

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0674

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0662

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0649

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0634

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0606

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0599

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0555

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0553

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0532

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`)