TreeWAS – [S01.9] Open wound of head, part unspecified

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.891	0.109	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.773	0.227	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.766	0.234	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.735	0.265	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.714	0.286	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.711	0.289	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.693	0.307	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.688	0.312	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.676	0.324	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.663	0.337	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.661	0.339	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.651	0.349	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.646	0.354	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.632	0.368	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.628	0.372	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.624	0.376	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.608	0.392	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.596	0.404	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.591	0.409	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.563	0.437	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.553	0.447	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.550	0.450	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.549	0.451	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.530	0.470	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.509	0.491	0.000
rs6062509 lBF = `2.59827` Chr`20` : `62,362,563`	0.503	0.497	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.497	0.503	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.496	0.503	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.493	0.507	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.493	0.507	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.489	0.511	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.457	0.542	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.451	0.548	0.000
rs16999165 lBF = `0.791896` Chr`20` : `52,807,221`	0.449	0.551	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.441	0.559	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.439	0.561	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.567	0.433
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.433	0.567	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.432	0.568	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.431	0.569	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.427	0.573	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.421	0.579	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.421	0.579	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.419	0.581	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.417	0.583	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.414	0.586	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.412	0.588	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.393	0.607	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.391	0.609	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.357	0.643	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.353	0.647	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.345	0.655	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.343	0.657	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.337	0.662	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.326	0.674	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.326	0.674	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.319	0.681	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.317	0.683	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.312	0.687	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.311	0.688	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.301	0.699	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.295	0.705	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.289	0.711	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.288	0.711	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.288	0.712	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.288	0.712	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.279	0.721	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.278	0.722	0.000
rs6062504 lBF = `1.8324` Chr`20` : `62,348,907`	0.275	0.725	0.000
rs4809330 lBF = `1.79195` Chr`20` : `62,349,586`	0.274	0.726	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.272	0.728	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.272	0.728	0.000
rs2315008 lBF = `1.81178` Chr`20` : `62,343,956`	0.265	0.735	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.262	0.738	0.001
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.244	0.756	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.235	0.765	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.232	0.768	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.231	0.768	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.230	0.770	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.226	0.773	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.221	0.779	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.217	0.783	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.213	0.787	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.211	0.788	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.207	0.793	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.199	0.801	0.000
rs6025590 lBF = `0.258413` Chr`20` : `56,070,505`	0.196	0.804	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.189	0.811	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.186	0.813	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.162	0.838	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.158	0.841	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.153	0.846	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.147	0.853	0.000
rs11700100 lBF = `0.0793417` Chr`20` : `56,080,049`	0.144	0.856	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.000	0.857	0.143
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.141	0.859	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.140	0.860	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.131	0.868	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.131	0.869	0.001
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.130	0.869	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.121	0.879	0.000
rs59972978 lBF = `0.0623434` Chr`20` : `56,058,355`	0.111	0.889	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.110	0.889	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.107	0.892	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.105	0.894	0.001
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.104	0.896	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.896	0.103
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.100	0.900	0.000
rs6109680 lBF = `0.314481` Chr`20` : `13,046,591`	0.000	0.909	0.091
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.087	0.912	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.084	0.915	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.084	0.916	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.084	0.916	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.076	0.924	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.075	0.924	0.001
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.074	0.925	0.001
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.072	0.927	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.066	0.934	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.063	0.937	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.062	0.938	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.061	0.939	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.058	0.942	0.000
rs7267722 lBF = `0.10931` Chr`20` : `22,787,622`	0.054	0.946	0.000
rs871913 lBF = `0.115156` Chr`20` : `16,144,345`	0.052	0.948	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.048	0.952	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.046	0.954	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.045	0.955	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.042	0.958	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.042	0.958	0.000
rs6035126 lBF = `0.055357` Chr`20` : `1,929,542`	0.038	0.962	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.037	0.963	0.000
rs6062496 lBF = `5.7564` Chr`20` : `62,329,099`	0.036	0.964	0.000
rs6110809 lBF = `-0.0517478` Chr`20` : `15,851,077`	0.000	0.965	0.035
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.034	0.966	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.030	0.969	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.029	0.970	0.001
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.030	0.970	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.029	0.970	0.000
rs6013915 lBF = `0.185354` Chr`20` : `52,810,377`	0.026	0.974	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.025	0.975	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.024	0.976	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.000	0.977	0.023
rs2229205 lBF = `0.049829` Chr`20` : `62,729,431`	0.022	0.978	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.021	0.979	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.021	0.979	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.021	0.979	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.020	0.980	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.020	0.980	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.020	0.980	0.000
rs4239702 lBF = `0.00330044` Chr`20` : `44,749,251`	0.019	0.981	0.000
rs76473307 lBF = `0.0104573` Chr`20` : `57,406,068`	0.019	0.981	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.015	0.985	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.014	0.986	0.000
rs2297441 lBF = `0.960517` Chr`20` : `62,327,582`	0.013	0.986	0.000
rs2023454 lBF = `-0.00136264` Chr`20` : `53,267,111`	0.013	0.987	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.012	0.988	0.000
rs1883832 lBF = `-0.0168904` Chr`20` : `44,746,982`	0.012	0.988	0.000
rs4810485 lBF = `-0.0176317` Chr`20` : `44,747,947`	0.012	0.988	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.011	0.988	0.000
rs1569723 lBF = `-0.0161558` Chr`20` : `44,742,064`	0.011	0.989	0.000
rs2585417 lBF = `-0.105953` Chr`20` : `52,843,799`	0.000	0.990	0.010
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.008	0.990	0.002
rs2236200 lBF = `11.5014` Chr`20` : `60,986,019`	0.000	0.990	0.010
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.010	0.990	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.009	0.991	0.000
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.009	0.991	0.000
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.008	0.992	0.000
rs6044777 lBF = `0.331462` Chr`20` : `17,368,542`	0.008	0.992	0.000
rs6031252 lBF = `0.0070457` Chr`20` : `42,573,822`	0.008	0.992	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.007	0.993	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.007	0.993	0.000
rs909341 lBF = `0.73248` Chr`20` : `62,328,742`	0.000	0.994	0.006
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.005	0.995	0.000
rs7360412 lBF = `-0.00343882` Chr`20` : `2,800,801`	0.005	0.995	0.000
rs2427308 lBF = `35.7238` Chr`20` : `60,969,451`	0.000	0.995	0.005
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.005	0.995	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.004	0.995	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.004	0.995	0.000
rs6107516 lBF = `-0.0279149` Chr`20` : `4,677,092`	0.004	0.996	0.000
rs6046393 lBF = `-0.0190458` Chr`20` : `19,852,250`	0.000	0.996	0.004
rs6122972 lBF = `0.113804` Chr`20` : `49,375,242`	0.000	0.996	0.004
rs2273359 lBF = `0.125112` Chr`20` : `57,562,102`	0.000	0.996	0.004
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.004	0.996	0.000
rs11698080 lBF = `17.6983` Chr`20` : `60,899,182`	0.000	0.996	0.004
rs55864139 lBF = `0.0388845` Chr`20` : `40,049,579`	0.004	0.996	0.000
rs430086 lBF = `-0.0156647` Chr`20` : `14,967,079`	0.004	0.996	0.000
rs62217115 lBF = `0.0156827` Chr`20` : `12,469,558`	0.004	0.996	0.000
rs6022786 lBF = `-0.120712` Chr`20` : `52,447,303`	0.000	0.996	0.004
rs1570027 lBF = `35.8411` Chr`20` : `60,968,596`	0.000	0.996	0.004
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.000	0.997	0.003
rs6017317 lBF = `-0.00063152` Chr`20` : `42,946,966`	0.003	0.997	0.000
rs6010620 lBF = `0.974268` Chr`20` : `62,309,839`	0.003	0.997	0.000
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.003	0.997	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.003	0.997	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs6050267 lBF = `-0.0211359` Chr`20` : `25,019,099`	0.000	0.997	0.003
rs6062302 lBF = `1.19347` Chr`20` : `62,320,968`	0.003	0.997	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.003	0.997	0.000
rs6036169 lBF = `6.54958` Chr`20` : `22,645,877`	0.003	0.997	0.000
rs261360 lBF = `-0.0624635` Chr`20` : `5,037,774`	0.000	0.997	0.003
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.997	0.000
rs658495 lBF = `0.0934974` Chr`20` : `3,737,495`	0.000	0.997	0.002
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rs4815130 lBF = `9.49417` Chr`20` : `22,635,852`	0.000	1.000	0.000
rs1209523 lBF = `-0.0139439` Chr`20` : `22,567,942`	0.000	1.000	0.000
rs6133127 lBF = `-0.0518496` Chr`20` : `4,469,883`	0.000	1.000	0.000
rs6072161 lBF = `-0.0629835` Chr`20` : `39,471,427`	0.000	1.000	0.000
rs6016348 lBF = `-0.0665469` Chr`20` : `39,038,828`	0.000	1.000	0.000
rs6049839 lBF = `-0.0755009` Chr`20` : `2,518,565`	0.000	1.000	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.000	1.000	0.000
rs7274811 lBF = `2.64338` Chr`20` : `32,333,181`	0.000	1.000	0.000
rs2423279 lBF = `0.507836` Chr`20` : `7,812,350`	0.000	1.000	0.000
rs62195918 lBF = `-0.0297742` Chr`20` : `8,275,645`	0.000	1.000	0.000
rs1293386 lBF = `-0.035461` Chr`20` : `51,797,353`	0.000	1.000	0.000
rs4811196 lBF = `-0.0461361` Chr`20` : `36,469,694`	0.000	1.000	0.000
rs13831 lBF = `-0.0615672` Chr`20` : `57,475,191`	0.000	1.000	0.000
rs847058 lBF = `-0.108421` Chr`20` : `45,232,757`	0.000	1.000	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs3761168 lBF = `0.0218755` Chr`20` : `8,865,718`	0.000	1.000	0.000
rs2426087 lBF = `0.00758754` Chr`20` : `47,379,811`	0.000	1.000	0.000
rs2236521 lBF = `-0.013819` Chr`20` : `60,892,116`	0.000	1.000	0.000
rs927833 lBF = `-0.0415113` Chr`20` : `22,041,577`	0.000	1.000	0.000
rs6065906 lBF = `-0.0575093` Chr`20` : `44,554,015`	0.000	1.000	0.000
rs2618568 lBF = `-0.0691812` Chr`20` : `17,843,968`	0.000	1.000	0.000
rs214803 lBF = `38.436` Chr`20` : `2,290,333`	0.000	1.000	0.000
rs6060369 lBF = `31.7161` Chr`20` : `33,907,161`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs6049375 lBF = `0.0618387` Chr`20` : `24,058,407`	0.000	1.000	0.000
rs816535 lBF = `0.0536421` Chr`20` : `26,255,996`	0.000	1.000	0.000
rs6515773 lBF = `0.0393888` Chr`20` : `3,174,105`	0.000	1.000	0.000
rs6013509 lBF = `-0.0274664` Chr`20` : `51,318,351`	0.000	1.000	0.000
rs4812973 lBF = `-0.0379201` Chr`20` : `44,507,536`	0.000	1.000	0.000
rs4465830 lBF = `-0.0581894` Chr`20` : `44,585,420`	0.000	1.000	0.000
rs6073972 lBF = `-0.0601376` Chr`20` : `44,590,298`	0.000	1.000	0.000
rs6070346 lBF = `-0.111049` Chr`20` : `56,663,274`	0.000	1.000	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.000	1.000	0.000
rs6082442 lBF = `7.80489` Chr`20` : `2,205,138`	0.000	1.000	0.000
rs874499 lBF = `5.73451` Chr`20` : `2,217,138`	0.000	1.000	0.000
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.000	1.000	0.000
rs6085533 lBF = `0.102245` Chr`20` : `6,375,460`	0.000	1.000	0.000
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.000	1.000	0.000
rs10470013 lBF = `0.0023234` Chr`20` : `49,609,677`	0.000	1.000	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	0.000	1.000	0.000
rs2021786 lBF = `-0.0924612` Chr`20` : `17,421,978`	0.000	1.000	0.000
rs28620942 lBF = `-0.110385` Chr`20` : `55,101,317`	0.000	1.000	0.000
rs236720 lBF = `14.4396` Chr`20` : `57,702,611`	0.000	1.000	0.000
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.000	1.000	0.000
rs6137287 lBF = `0.0261537` Chr`20` : `21,180,259`	0.000	1.000	0.000
rs4812219 lBF = `-0.029306` Chr`20` : `59,422,971`	0.000	1.000	0.000
rs6110577 lBF = `-0.0322145` Chr`20` : `15,335,754`	0.000	1.000	0.000
rs4815617 lBF = `-0.0351888` Chr`20` : `3,827,309`	0.000	1.000	0.000
rs13037749 lBF = `-0.054854` Chr`20` : `40,064,559`	0.000	1.000	0.000
rs7263077 lBF = `-0.067404` Chr`20` : `41,234,578`	0.000	1.000	0.000
rs8118008 lBF = `-0.0812984` Chr`20` : `3,168,166`	0.000	1.000	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.000	1.000	0.000
rs62192643 lBF = `28.1451` Chr`20` : `2,279,955`	0.000	1.000	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.000	1.000	0.000
rs6047800 lBF = `15.1478` Chr`20` : `2,252,739`	0.000	1.000	0.000
rs1465537 lBF = `6.53338` Chr`20` : `57,698,020`	0.000	1.000	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.000	1.000	0.000
rs6072869 lBF = `5.17642` Chr`20` : `41,399,171`	0.000	1.000	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.000	1.000	0.000
rs11906160 lBF = `2.57116` Chr`20` : `33,565,755`	0.000	1.000	0.000
rs2424234 lBF = `0.206305` Chr`20` : `19,363,979`	0.000	1.000	0.000
rs12481680 lBF = `0.134` Chr`20` : `56,428,705`	0.000	1.000	0.000
rs1741344 lBF = `0.115455` Chr`20` : `4,101,800`	0.000	1.000	0.000
rs2144940 lBF = `0.095381` Chr`20` : `23,050,806`	0.000	1.000	0.000
rs13037755 lBF = `0.0702108` Chr`20` : `53,411,019`	0.000	1.000	0.000
rs6073450 lBF = `0.0682833` Chr`20` : `43,086,648`	0.000	1.000	0.000
rs6054374 lBF = `0.0370088` Chr`20` : `6,578,556`	0.000	1.000	0.000
rs6056869 lBF = `0.0352194` Chr`20` : `9,762,448`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs6085920 lBF = `-0.00040263` Chr`20` : `7,180,056`	0.000	1.000	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.000	1.000	0.000
rs6084946 lBF = `-0.0264705` Chr`20` : `549,918`	0.000	1.000	0.000
rs910191 lBF = `-0.0284164` Chr`20` : `47,088,732`	0.000	1.000	0.000
rs6032614 lBF = `-0.048299` Chr`20` : `44,609,595`	0.000	1.000	0.000
rs6090583 lBF = `-0.0566955` Chr`20` : `45,558,831`	0.000	1.000	0.000
rs7679 lBF = `-0.0584116` Chr`20` : `44,576,502`	0.000	1.000	0.000
rs428445 lBF = `-0.122222` Chr`20` : `55,036,547`	0.000	1.000	0.000
rs6088813 lBF = `35.2864` Chr`20` : `33,975,181`	0.000	1.000	0.000
rs78110303 lBF = `35.1732` Chr`20` : `34,025,983`	0.000	1.000	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.000	1.000	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.000	1.000	0.000
rs11906854 lBF = `0.460921` Chr`20` : `34,383,634`	0.000	1.000	0.000
rs4811340 lBF = `0.16495` Chr`20` : `51,009,757`	0.000	1.000	0.000
rs6120974 lBF = `0.142245` Chr`20` : `34,126,827`	0.000	1.000	0.000
rs7274581 lBF = `0.081653` Chr`20` : `55,018,260`	0.000	1.000	0.000
rs1570669 lBF = `0.0758861` Chr`20` : `52,774,427`	0.000	1.000	0.000
rs6579245 lBF = `0.0252453` Chr`20` : `34,125,271`	0.000	1.000	0.000
rs4809847 lBF = `-0.0275072` Chr`20` : `50,108,320`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs844917 lBF = `-0.0723708` Chr`20` : `23,141,655`	0.000	1.000	0.000
rs76894896 lBF = `5.28084` Chr`20` : `34,865,772`	0.000	1.000	0.000
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.000	1.000	0.000
rs6080550 lBF = `0.148133` Chr`20` : `1,759,590`	0.000	1.000	0.000
rs742731 lBF = `0.140178` Chr`20` : `18,885,738`	0.000	1.000	0.000
rs2747539 lBF = `0.0322663` Chr`20` : `32,418,368`	0.000	1.000	0.000
rs228836 lBF = `0.0156662` Chr`20` : `50,065,648`	0.000	1.000	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5957

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2263

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9999

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9935

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9844

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9773

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9720

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9698

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9687

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9686

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9667

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9666

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9657

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9505

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9460

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9443

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9427

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9399

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9366

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9358

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9338

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9200

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9198

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9140

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9126

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9008

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8954

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8849

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8826

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8795

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8785

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8763

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8563

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8468

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8359

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8275

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8241

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8237

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8191

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8004

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7961

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7899

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7702

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7461

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7348

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7109

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7078

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7055

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6938

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6913

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6865

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6690

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6585

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6282

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6256

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6223

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6150

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5986

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5930

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5903

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5782

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5710

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5606

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5427

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5064

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5042

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5019

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4817

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4778

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4715

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4611

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4580

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4534

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4521

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4493

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4476

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3933

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3891

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3678

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3599

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3597

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3517

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3492

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3422

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3381

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3320

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3168

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2972

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2909

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2765

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2645

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2598

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2585

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2325

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2278

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2121

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2046

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1989

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1903

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1892

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1799

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1771

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1698

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1631

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1618

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1480

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1449

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1437

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1422

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1422

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1412

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1388

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1354

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1345

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1196

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1153

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1131

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1104

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1092

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1086

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1010

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0965

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0842

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0799

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0760

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0742

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0702

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0696

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0550

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0547

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0530

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0507

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`)