TreeWAS – [F10.4] Withdrawal state with delirium

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
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.760	0.240	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.716	0.284	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.715	0.285	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.707	0.293	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.691	0.309	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.667	0.333	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.656	0.344	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.654	0.346	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.652	0.348	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.651	0.349	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.636	0.364	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.635	0.365	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.626	0.374	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.622	0.378	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.620	0.380	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.619	0.381	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.613	0.387	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.611	0.388	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.577	0.423	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.554	0.446	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.527	0.472	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.507	0.493	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.481	0.519	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.471	0.529	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.470	0.530	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.460	0.539	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.451	0.549	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.428	0.572	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.422	0.578	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.402	0.598	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.398	0.602	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.377	0.623	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.344	0.656	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.337	0.662	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.332	0.668	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.328	0.672	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.315	0.685	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.310	0.690	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.309	0.691	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.291	0.709	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.279	0.721	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.273	0.727	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.259	0.741	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.255	0.745	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.242	0.758	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.240	0.759	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.236	0.764	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.235	0.765	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.217	0.783	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.205	0.795	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.201	0.799	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.199	0.801	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.193	0.807	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.191	0.809	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.190	0.810	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.189	0.810	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.189	0.811	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.186	0.814	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.185	0.815	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.184	0.816	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.164	0.836	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.162	0.838	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.162	0.838	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.859	0.141
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.139	0.861	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.120	0.879	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.117	0.883	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.114	0.886	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.111	0.888	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.110	0.890	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.103	0.897	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.100	0.899	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.100	0.900	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.100	0.900	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.099	0.901	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.098	0.902	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.096	0.903	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.095	0.904	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.095	0.905	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.094	0.905	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.907	0.093
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.090	0.910	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.089	0.911	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.088	0.912	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.086	0.913	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.080	0.920	0.000
rs6075524 lBF = `19.2434` Chr`20` : `19,509,918`	0.072	0.928	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.070	0.930	0.000
rs6097169 lBF = `0.310093` Chr`20` : `51,557,161`	0.063	0.937	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.063	0.937	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.062	0.938	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.061	0.939	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.054	0.946	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.051	0.949	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.049	0.951	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.047	0.952	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.047	0.953	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.045	0.954	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.044	0.956	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.041	0.959	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.039	0.960	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.039	0.961	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.039	0.961	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.037	0.963	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.031	0.969	0.000
rs6109680 lBF = `0.314481` Chr`20` : `13,046,591`	0.000	0.970	0.030
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.029	0.971	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.028	0.972	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.027	0.973	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.026	0.973	0.001
rs45461993 lBF = `5.77094` Chr`20` : `61,983,901`	0.027	0.973	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.026	0.974	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.025	0.975	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.021	0.978	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.021	0.979	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.021	0.979	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.021	0.979	0.000
rs816535 lBF = `0.0536421` Chr`20` : `26,255,996`	0.018	0.982	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.017	0.983	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.017	0.983	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.016	0.983	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.016	0.984	0.000
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
rs7360412 lBF = `-0.00343882` Chr`20` : `2,800,801`	0.012	0.988	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.011	0.989	0.000
rs55864139 lBF = `0.0388845` Chr`20` : `40,049,579`	0.010	0.989	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.010	0.990	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.005	0.991	0.004
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.008	0.992	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	0.992	0.008
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.008	0.992	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.006	0.993	0.001
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.006	0.993	0.000
rs6049375 lBF = `0.0618387` Chr`20` : `24,058,407`	0.006	0.994	0.000
rs16985615 lBF = `-0.0301459` Chr`20` : `23,642,427`	0.000	0.994	0.006
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.002	0.994	0.004
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.004	0.994	0.002
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.005	0.995	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.002	0.995	0.003
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.004	0.995	0.001
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.004	0.995	0.000
rs6017235 lBF = `0.915693` Chr`20` : `42,620,592`	0.004	0.995	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.004	0.996	0.000
rs113118940 lBF = `-0.0100061` Chr`20` : `23,494,846`	0.004	0.996	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.004	0.996	0.000
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.003	0.996	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.001	0.996	0.003
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.003	0.996	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.003	0.996	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.000	0.997	0.003
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.003	0.997	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.003	0.997	0.000
rs6066043 lBF = `-0.0730998` Chr`20` : `45,288,453`	0.003	0.997	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.002	0.997	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs6137473 lBF = `0.0723357` Chr`20` : `21,884,693`	0.000	0.998	0.002
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.002	0.998	0.000
rs16985493 lBF = `0.0534807` Chr`20` : `60,293,563`	0.002	0.998	0.000
rs4809847 lBF = `-0.0275072` Chr`20` : `50,108,320`	0.000	0.998	0.002
rs4815070 lBF = `8.72648` Chr`20` : `2,235,758`	0.002	0.998	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.002	0.998	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.001	0.998	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.002	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.001	0.998	0.000
rs7274811 lBF = `2.64338` Chr`20` : `32,333,181`	0.000	0.998	0.002
rs78110303 lBF = `35.1732` Chr`20` : `34,025,983`	0.001	0.998	0.000
rs151361 lBF = `0.041818` Chr`20` : `57,614,002`	0.002	0.998	0.000
rs6040399 lBF = `0.1351` Chr`20` : `11,157,011`	0.000	0.998	0.002
rs7267348 lBF = `-0.0205561` Chr`20` : `48,131,036`	0.000	0.998	0.002
rs11699237 lBF = `-0.0217365` Chr`20` : `55,683,996`	0.000	0.998	0.001
rs1741344 lBF = `0.115455` Chr`20` : `4,101,800`	0.001	0.999	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.001	0.999	0.000
rs2073302 lBF = `-0.0633029` Chr`20` : `13,052,671`	0.001	0.999	0.000
rs6064045 lBF = `-0.0477969` Chr`20` : `52,701,293`	0.001	0.999	0.000
rs28620942 lBF = `-0.110385` Chr`20` : `55,101,317`	0.001	0.999	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.001	0.999	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.001	0.999	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.001	0.999	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.001	0.999	0.000
rs6024938 lBF = `-0.0814531` Chr`20` : `55,109,304`	0.001	0.999	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.001	0.999	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.001	0.999	0.000
rs874499 lBF = `5.73451` Chr`20` : `2,217,138`	0.001	0.999	0.000
rs4814920 lBF = `-0.0166134` Chr`20` : `19,865,956`	0.000	0.999	0.001
rs1413020 lBF = `-0.0145749` Chr`20` : `12,730,042`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
rs55734731 lBF = `-0.0410288` Chr`20` : `38,572,414`	0.001	0.999	0.000
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs2180439 lBF = `0.438863` Chr`20` : `21,853,100`	0.000	0.999	0.001
rs4911259 lBF = `0.194095` Chr`20` : `31,376,282`	0.001	0.999	0.000
rs62217115 lBF = `0.0156827` Chr`20` : `12,469,558`	0.000	0.999	0.001
rs73584251 lBF = `0.00004246` Chr`20` : `1,401,491`	0.001	0.999	0.000
rs6100794 lBF = `0.00001125` Chr`20` : `58,799,036`	0.001	0.999	0.000
rs115205687 lBF = `0` Chr`20` : `8,895,776`	0.001	0.999	0.001
rs279720 lBF = `0` Chr`20` : `45,124,222`	0.001	0.999	0.001
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rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.000	1.000	0.000
rs16985452 lBF = `-0.0401319` Chr`20` : `60,265,853`	0.000	1.000	0.000
rs10485681 lBF = `-0.0409523` Chr`20` : `40,493,072`	0.000	1.000	0.000
rs331615 lBF = `-0.0563706` Chr`20` : `55,638,537`	0.000	1.000	0.000
rs11696277 lBF = `-0.066727` Chr`20` : `17,264,604`	0.000	1.000	0.000
rs2326679 lBF = `-0.0685404` Chr`20` : `6,035,228`	0.000	1.000	0.000
rs4812712 lBF = `-0.08616` Chr`20` : `42,104,939`	0.000	1.000	0.000
rs6065080 lBF = `-0.0970129` Chr`20` : `59,832,791`	0.000	1.000	0.000
rs2024714 lBF = `-0.097588` Chr`20` : `60,212,494`	0.000	1.000	0.000
rs61341205 lBF = `18.6455` Chr`20` : `33,072,578`	0.000	1.000	0.000
rs2425224 lBF = `13.1546` Chr`20` : `35,002,849`	0.000	1.000	0.000
rs16982520 lBF = `11.4522` Chr`20` : `57,758,720`	0.000	1.000	0.000
rs4812833 lBF = `1.61444` Chr`20` : `43,068,996`	0.000	1.000	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.000	1.000	0.000
rs6063312 lBF = `0.654202` Chr`20` : `47,343,059`	0.000	1.000	0.000
rs6042935 lBF = `0.406382` Chr`20` : `14,797,572`	0.000	1.000	0.000
rs6024905 lBF = `0.371404` Chr`20` : `36,957,837`	0.000	1.000	0.000
rs6039763 lBF = `0.202961` Chr`20` : `10,183,517`	0.000	1.000	0.000
rs6013915 lBF = `0.185354` Chr`20` : `52,810,377`	0.000	1.000	0.000
rs16997087 lBF = `0.11076` Chr`20` : `16,054,982`	0.000	1.000	0.000
rs11696845 lBF = `0.0701649` Chr`20` : `43,371,320`	0.000	1.000	0.000
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.000	1.000	0.000
rs2072910 lBF = `0.0189078` Chr`20` : `9,365,303`	0.000	1.000	0.000
rs6087771 lBF = `0.00596033` Chr`20` : `30,306,724`	0.000	1.000	0.000
rs6048205 lBF = `-0.0034043` Chr`20` : `22,559,601`	0.000	1.000	0.000
rs1883832 lBF = `-0.0168904` Chr`20` : `44,746,982`	0.000	1.000	0.000
rs4810485 lBF = `-0.0176317` Chr`20` : `44,747,947`	0.000	1.000	0.000
rs1223271 lBF = `-0.0492351` Chr`20` : `13,296,912`	0.000	1.000	0.000
rs6079395 lBF = `-0.0571471` Chr`20` : `14,327,899`	0.000	1.000	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	1.000	0.000
rs11698080 lBF = `17.6983` Chr`20` : `60,899,182`	0.000	1.000	0.000
rs214815 lBF = `16.1287` Chr`20` : `2,298,616`	0.000	1.000	0.000
rs236720 lBF = `14.4396` Chr`20` : `57,702,611`	0.000	1.000	0.000
rs17216707 lBF = `7.10637` Chr`20` : `52,732,362`	0.000	1.000	0.000
rs975525 lBF = `5.99113` Chr`20` : `22,640,412`	0.000	1.000	0.000
rs4811971 lBF = `0.986235` Chr`20` : `56,796,784`	0.000	1.000	0.000
rs4243971 lBF = `0.641671` Chr`20` : `30,849,517`	0.000	1.000	0.000
rs2423279 lBF = `0.507836` Chr`20` : `7,812,350`	0.000	1.000	0.000
rs11906854 lBF = `0.460921` Chr`20` : `34,383,634`	0.000	1.000	0.000
rs6108801 lBF = `0.234645` Chr`20` : `10,989,519`	0.000	1.000	0.000
rs6122972 lBF = `0.113804` Chr`20` : `49,375,242`	0.000	1.000	0.000
rs2427345 lBF = `0.0858361` Chr`20` : `61,015,611`	0.000	1.000	0.000
rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.000	1.000	0.000
rs55970365 lBF = `0.0105177` Chr`20` : `38,725,186`	0.000	1.000	0.000
rs1567865 lBF = `0.0094387` Chr`20` : `47,881,967`	0.000	1.000	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.000	1.000	0.000
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	1.000	0.000
rs11697186 lBF = `-0.00429208` Chr`20` : `3,185,123`	0.000	1.000	0.000
rs1980946 lBF = `-0.00962511` Chr`20` : `48,344,311`	0.000	1.000	0.000
rs183345681 lBF = `-0.0133899` Chr`20` : `61,992,700`	0.000	1.000	0.000
rs4815879 lBF = `-0.0208377` Chr`20` : `5,949,534`	0.000	1.000	0.000
rs4549165 lBF = `-0.0357221` Chr`20` : `46,336,026`	0.000	1.000	0.000
rs6032614 lBF = `-0.048299` Chr`20` : `44,609,595`	0.000	1.000	0.000
rs2236178 lBF = `-0.0488682` Chr`20` : `21,142,813`	0.000	1.000	0.000
rs10485813 lBF = `-0.0491565` Chr`20` : `51,583,983`	0.000	1.000	0.000
rs6027506 lBF = `-0.0754539` Chr`20` : `58,896,715`	0.000	1.000	0.000
rs259964 lBF = `-0.0773551` Chr`20` : `57,824,309`	0.000	1.000	0.000
rs6138150 lBF = `-0.0787003` Chr`20` : `23,847,009`	0.000	1.000	0.000
rs6128386 lBF = `-0.0837842` Chr`20` : `57,193,549`	0.000	1.000	0.000
rs4911442 lBF = `29.2005` Chr`20` : `33,355,046`	0.000	1.000	0.000
rs6059969 lBF = `27.4928` Chr`20` : `33,245,284`	0.000	1.000	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.000	1.000	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.000	1.000	0.000
rs6036169 lBF = `6.54958` Chr`20` : `22,645,877`	0.000	1.000	0.000
rs6021275 lBF = `5.50302` Chr`20` : `50,155,124`	0.000	1.000	0.000
rs6036176 lBF = `5.30879` Chr`20` : `22,668,305`	0.000	1.000	0.000
rs1555322 lBF = `0.553694` Chr`20` : `33,849,179`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs62202398 lBF = `0.362478` Chr`20` : `46,801,224`	0.000	1.000	0.000
rs2424234 lBF = `0.206305` Chr`20` : `19,363,979`	0.000	1.000	0.000
rs6142618 lBF = `0.180564` Chr`20` : `30,725,648`	0.000	1.000	0.000
rs2145270 lBF = `0.144181` Chr`20` : `6,621,685`	0.000	1.000	0.000
rs6080212 lBF = `0.104464` Chr`20` : `16,277,630`	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
rs1014897 lBF = `0.064475` Chr`20` : `895,457`	0.000	1.000	0.000
rs2229205 lBF = `0.049829` Chr`20` : `62,729,431`	0.000	1.000	0.000
rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	1.000	0.000
rs932425 lBF = `0.0380209` Chr`20` : `37,873,610`	0.000	1.000	0.000
rs17450430 lBF = `0.0325685` Chr`20` : `47,772,264`	0.000	1.000	0.000
rs220519 lBF = `0.0174788` Chr`20` : `37,279,255`	0.000	1.000	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.000	1.000	0.000
rs6139030 lBF = `-0.0024395` Chr`20` : `3,187,733`	0.000	1.000	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.000	1.000	0.000
rs3890324 lBF = `-0.00538085` Chr`20` : `41,072,655`	0.000	1.000	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	0.000	1.000	0.000
rs965469 lBF = `-0.00732339` Chr`20` : `3,381,549`	0.000	1.000	0.000
rs6081541 lBF = `-0.0206467` Chr`20` : `19,212,890`	0.000	1.000	0.000
rs6107516 lBF = `-0.0279149` Chr`20` : `4,677,092`	0.000	1.000	0.000
rs6026584 lBF = `-0.0362936` Chr`20` : `57,469,073`	0.000	1.000	0.000
rs2057291 lBF = `-0.038961` Chr`20` : `57,472,043`	0.000	1.000	0.000
rs7352944 lBF = `-0.041945` Chr`20` : `48,632,610`	0.000	1.000	0.000
rs2236176 lBF = `-0.0485044` Chr`20` : `21,081,488`	0.000	1.000	0.000
rs13040824 lBF = `-0.054021` Chr`20` : `2,225,869`	0.000	1.000	0.000
rs13037749 lBF = `-0.054854` Chr`20` : `40,064,559`	0.000	1.000	0.000
rs2328223 lBF = `-0.0662184` Chr`20` : `17,845,921`	0.000	1.000	0.000
rs2424399 lBF = `-0.0708992` Chr`20` : `21,632,545`	0.000	1.000	0.000
rs1970546 lBF = `-0.0834939` Chr`20` : `59,853,938`	0.000	1.000	0.000
rs2743173 lBF = `-0.114989` Chr`20` : `8,245,293`	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

0.7064

Cluster X0260

log Bayes Factor = 16.5601

contains 2 variants

0.6745

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2667

Cluster X0187

log Bayes Factor = 30.7009

contains 1 variants

0.0596

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9986

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9825

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9798

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9736

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9729

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9701

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9700

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9642

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9635

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9605

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9598

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9576

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9575

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9473

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9468

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9462

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9445

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9442

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9423

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9328

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9302

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9276

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9269

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9264

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9181

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9136

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9117

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9052

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9003

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8977

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8965

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8811

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.8787

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8686

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.8676

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8555

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8523

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8494

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8366

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.8237

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8123

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8116

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8058

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8042

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8040

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8019

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7962

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7959

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7955

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7864

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7854

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7714

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7712

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7707

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7544

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7394

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7274

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7161

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7005

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6946

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6943

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6881

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6872

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6871

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6863

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6515

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6419

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6337

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6292

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6208

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6199

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6133

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6083

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6075

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5971

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5879

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5383

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5265

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5120

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4509

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4454

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4087

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4048

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3998

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3661

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3284

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3247

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3204

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2810

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2810

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2708

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2505

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2504

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2414

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2401

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2366

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2329

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2192

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2167

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2056

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2004

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1968

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1910

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1867

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1852

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1832

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1798

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1608

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1601

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1584

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1521

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1521

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1502

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1482

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1377

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1327

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1309

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1212

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1188

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1083

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1032

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0948

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0929

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0928

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0859

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0835

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0773

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0729

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0706

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0662

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0659

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0597

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0537

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0501

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`)