TreeWAS – [K87] Disorders of gallbladder, biliary tract and pancreas in diseases classified elsewhere

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

K87

Disorders of gallbladder, biliary tract and pancreas in diseases classified elsewhere

Parent term	K80-K87 Disorders of gallbladder, biliary tract and pancreas
Nested terms	K87.0 Disorders of gallbladder and biliary tract in diseases classified elsewhere K87.1 Disorders of pancreas in diseases classified elsewhere

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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
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.717	0.283	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.717	0.283	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.716	0.284	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.714	0.286	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.713	0.287	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.701	0.299	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.698	0.302	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.693	0.306	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.680	0.320	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.671	0.329	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.670	0.330	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.645	0.355	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.644	0.356	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.631	0.369	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.383	0.617
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.594	0.406	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.589	0.411	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.588	0.412	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.553	0.447	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.533	0.467	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.532	0.468	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.528	0.472	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.509	0.491	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.509	0.491	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.498	0.502	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.448	0.552	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.440	0.560	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.417	0.583	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.416	0.584	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.409	0.591	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.408	0.591	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.408	0.592	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.375	0.625	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.339	0.660	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.335	0.664	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.329	0.671	0.000
rs16999165 lBF = `0.791896` Chr`20` : `52,807,221`	0.000	0.695	0.305
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.303	0.696	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.292	0.708	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.285	0.710	0.005
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.281	0.719	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.273	0.727	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.258	0.742	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.249	0.751	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.236	0.764	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.035	0.766	0.199
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.205	0.795	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.178	0.822	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.177	0.823	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.173	0.827	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.163	0.837	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.163	0.837	0.000
rs11906854 lBF = `0.460921` Chr`20` : `34,383,634`	0.158	0.842	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.857	0.142
rs680379 lBF = `0.152008` Chr`20` : `12,969,400`	0.000	0.875	0.125
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.125	0.875	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.122	0.878	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.119	0.881	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.108	0.892	0.000
rs364585 lBF = `0.133376` Chr`20` : `12,962,718`	0.000	0.895	0.105
rs4814176 lBF = `0.139184` Chr`20` : `12,959,398`	0.000	0.896	0.104
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.103	0.896	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.096	0.904	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.077	0.923	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.076	0.923	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.069	0.931	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.059	0.935	0.006
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.062	0.937	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.060	0.940	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.046	0.953	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.045	0.955	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.042	0.957	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.040	0.960	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.037	0.963	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.036	0.964	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.034	0.966	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.033	0.967	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.030	0.970	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.029	0.970	0.001
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.023	0.977	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.023	0.977	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.023	0.977	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.023	0.977	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.022	0.977	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.021	0.979	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.019	0.981	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.016	0.984	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.016	0.984	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.014	0.986	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.013	0.986	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.013	0.986	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.013	0.987	0.000
rs3903703 lBF = `0.0123464` Chr`20` : `12,945,963`	0.000	0.987	0.013
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.013	0.987	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.012	0.988	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.012	0.988	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.012	0.988	0.000
rs6088792 lBF = `9.74149` Chr`20` : `33,909,784`	0.011	0.989	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.010	0.990	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.009	0.991	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.009	0.991	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.008	0.992	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.008	0.992	0.000
rs6041428 lBF = `0.015758` Chr`20` : `12,506,345`	0.000	0.992	0.008
rs761998 lBF = `-0.0494771` Chr`20` : `14,309,952`	0.008	0.992	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.007	0.992	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.007	0.993	0.001
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.007	0.993	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.007	0.993	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.007	0.993	0.000
rs8114671 lBF = `2.68271` Chr`20` : `33,789,142`	0.000	0.993	0.007
rs11907546 lBF = `9.88038` Chr`20` : `32,719,797`	0.006	0.994	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.005	0.994	0.001
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.005	0.994	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.005	0.995	0.000
rs4549165 lBF = `-0.0357221` Chr`20` : `46,336,026`	0.000	0.995	0.005
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.005	0.995	0.000
rs1512060 lBF = `0.0015753` Chr`20` : `53,462,975`	0.004	0.995	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.004	0.996	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.004	0.996	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.004	0.996	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.004	0.996	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.004	0.996	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.000	0.996	0.004
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.004	0.996	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.004	0.996	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.003	0.996	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.003	0.996	0.000
rs2425163 lBF = `2.5363` Chr`20` : `34,432,670`	0.003	0.996	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.003	0.996	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.003	0.996	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.003	0.996	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.003	0.997	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.003	0.997	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.003	0.997	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.003	0.997	0.000
rs55970365 lBF = `0.0105177` Chr`20` : `38,725,186`	0.003	0.997	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.003	0.997	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.997	0.000
rs6013355 lBF = `-0.0379993` Chr`20` : `50,637,660`	0.002	0.997	0.000
rs909341 lBF = `0.73248` Chr`20` : `62,328,742`	0.002	0.998	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.002	0.998	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.002	0.998	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.002	0.998	0.000
rs6515773 lBF = `0.0393888` Chr`20` : `3,174,105`	0.000	0.998	0.002
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.998	0.000
rs6141600 lBF = `0.196643` Chr`20` : `34,712,310`	0.001	0.998	0.000
rs12480534 lBF = `-0.0741929` Chr`20` : `44,761,485`	0.000	0.998	0.001
rs454422 lBF = `-0.0414817` Chr`20` : `5,943,693`	0.000	0.998	0.001
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.000	0.999	0.001
rs6060373 lBF = `31.6676` Chr`20` : `33,914,208`	0.001	0.999	0.000
rs45461993 lBF = `5.77094` Chr`20` : `61,983,901`	0.001	0.999	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.001	0.999	0.000
rs6031252 lBF = `0.0070457` Chr`20` : `42,573,822`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.001	0.999	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.001	0.999	0.001
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.001	0.999	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.001	0.999	0.000
rs2297441 lBF = `0.960517` Chr`20` : `62,327,582`	0.000	0.999	0.001
rs6060369 lBF = `31.7161` Chr`20` : `33,907,161`	0.001	0.999	0.000
rs4813003 lBF = `1.02644` Chr`20` : `44,763,284`	0.000	0.999	0.001
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs11907106 lBF = `-0.00001184` Chr`20` : `12,082,642`	0.001	0.999	0.000
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
rs147619472 lBF = `0` Chr`20` : `60,890,809`	0.001	0.999	0.001
rs74275091 lBF = `0` Chr`20` : `45,518,433`	0.001	0.999	0.001
rs190821608 lBF = `0` Chr`20` : `16,280,310`	0.001	0.999	0.001
rs186485497 lBF = `0` Chr`20` : `57,457,342`	0.001	0.999	0.001
rs187535555 lBF = `0` Chr`20` : `3,821,163`	0.001	0.999	0.001
rs6046346 lBF = `-0.00001321` Chr`20` : `19,802,188`	0.001	0.999	0.000
rs191335472 lBF = `-0.00002611` Chr`20` : `2,042,352`	0.000	0.999	0.001
rs586446 lBF = `0.660488` Chr`20` : `4,387,134`	0.000	0.999	0.001
rs2300206 lBF = `9.62073` Chr`20` : `32,589,808`	0.001	0.999	0.000
rs2224610 lBF = `-0.00027109` Chr`20` : `9,631,387`	0.001	0.999	0.000
rs2023454 lBF = `-0.00136264` Chr`20` : `53,267,111`	0.001	0.999	0.000
rs147775533 lBF = `-0.00020918` Chr`20` : `48,999,495`	0.001	0.999	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.001	0.999	0.000
rs4911414 lBF = `10.0514` Chr`20` : `32,729,444`	0.000	0.999	0.001
rs2236164 lBF = `7.01229` Chr`20` : `34,097,353`	0.001	0.999	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.001	0.999	0.000
rs2284378 lBF = `10.2093` Chr`20` : `32,588,095`	0.000	0.999	0.001
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.001	0.999	0.000
rs13042885 lBF = `-0.025527` Chr`20` : `1,924,707`	0.001	0.999	0.000
rs116940963 lBF = `0.0121686` Chr`20` : `10,271,367`	0.001	0.999	0.000
rs6077414 lBF = `0.594491` Chr`20` : `8,704,552`	0.000	0.999	0.001
rs139672965 lBF = `0.00975118` Chr`20` : `25,266,900`	0.000	0.999	0.001
rs2745761 lBF = `-0.00055091` Chr`20` : `8,277,943`	0.000	0.999	0.000
rs13041247 lBF = `-0.0575665` Chr`20` : `39,269,074`	0.000	0.999	0.000
rs2284386 lBF = `8.87868` Chr`20` : `32,644,396`	0.000	0.999	0.001
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rs6143035 lBF = `22.0883` Chr`20` : `60,920,700`	0.000	1.000	0.000
rs6046144 lBF = `21.5897` Chr`20` : `19,477,390`	0.000	1.000	0.000
rs6075524 lBF = `19.2434` Chr`20` : `19,509,918`	0.000	1.000	0.000
rs61341205 lBF = `18.6455` Chr`20` : `33,072,578`	0.000	1.000	0.000
rs6088316 lBF = `17.437` Chr`20` : `32,426,842`	0.000	1.000	0.000
rs59586681 lBF = `16.8913` Chr`20` : `2,220,310`	0.000	1.000	0.000
rs84824 lBF = `16.3155` Chr`20` : `2,301,285`	0.000	1.000	0.000
rs214815 lBF = `16.1287` Chr`20` : `2,298,616`	0.000	1.000	0.000
rs4925386 lBF = `15.667` Chr`20` : `60,921,044`	0.000	1.000	0.000
rs6055971 lBF = `15.392` Chr`20` : `8,627,642`	0.000	1.000	0.000
rs6047800 lBF = `15.1478` Chr`20` : `2,252,739`	0.000	1.000	0.000
rs1535067 lBF = `14.7922` Chr`20` : `8,607,333`	0.000	1.000	0.000
rs11699160 lBF = `14.6736` Chr`20` : `60,958,651`	0.000	1.000	0.000
rs236720 lBF = `14.4396` Chr`20` : `57,702,611`	0.000	1.000	0.000
rs1853092 lBF = `13.3769` Chr`20` : `2,304,376`	0.000	1.000	0.000
rs1327235 lBF = `11.5922` Chr`20` : `10,969,030`	0.000	1.000	0.000
rs2236200 lBF = `11.5014` Chr`20` : `60,986,019`	0.000	1.000	0.000
rs16982520 lBF = `11.4522` Chr`20` : `57,758,720`	0.000	1.000	0.000
rs1887320 lBF = `10.7614` Chr`20` : `10,965,998`	0.000	1.000	0.000
rs1007458 lBF = `10.3983` Chr`20` : `22,587,676`	0.000	1.000	0.000
rs6078000 lBF = `10.313` Chr`20` : `10,977,631`	0.000	1.000	0.000
rs1012621 lBF = `9.74089` Chr`20` : `2,306,312`	0.000	1.000	0.000
rs4815130 lBF = `9.49417` Chr`20` : `22,635,852`	0.000	1.000	0.000
rs6085661 lBF = `9.12054` Chr`20` : `6,693,128`	0.000	1.000	0.000
rs4815070 lBF = `8.72648` Chr`20` : `2,235,758`	0.000	1.000	0.000
rs4813802 lBF = `8.65379` Chr`20` : `6,699,595`	0.000	1.000	0.000
rs2425052 lBF = `8.43174` Chr`20` : `33,880,729`	0.000	1.000	0.000
rs6017342 lBF = `8.38655` Chr`20` : `43,065,028`	0.000	1.000	0.000
rs4809370 lBF = `8.15462` Chr`20` : `62,470,872`	0.000	1.000	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	1.000	0.000
rs1015563 lBF = `8.09166` Chr`20` : `6,690,101`	0.000	1.000	0.000
rs6082442 lBF = `7.80489` Chr`20` : `2,205,138`	0.000	1.000	0.000
rs1203951 lBF = `7.57183` Chr`20` : `22,611,301`	0.000	1.000	0.000
rs1573706 lBF = `7.31447` Chr`20` : `40,921,149`	0.000	1.000	0.000
rs17216707 lBF = `7.10637` Chr`20` : `52,732,362`	0.000	1.000	0.000
rs2050652 lBF = `7.02021` Chr`20` : `33,733,180`	0.000	1.000	0.000
rs6013012 lBF = `6.74262` Chr`20` : `49,391,906`	0.000	1.000	0.000
rs6036169 lBF = `6.54958` Chr`20` : `22,645,877`	0.000	1.000	0.000
rs1465537 lBF = `6.53338` Chr`20` : `57,698,020`	0.000	1.000	0.000
rs214830 lBF = `6.04206` Chr`20` : `2,321,105`	0.000	1.000	0.000
rs975525 lBF = `5.99113` Chr`20` : `22,640,412`	0.000	1.000	0.000
rs6062496 lBF = `5.7564` Chr`20` : `62,329,099`	0.000	1.000	0.000
rs62185668 lBF = `5.73859` Chr`20` : `10,961,935`	0.000	1.000	0.000
rs874499 lBF = `5.73451` Chr`20` : `2,217,138`	0.000	1.000	0.000
rs8116927 lBF = `5.67793` Chr`20` : `2,261,387`	0.000	1.000	0.000
rs6062543 lBF = `5.50924` Chr`20` : `62,451,079`	0.000	1.000	0.000
rs6021275 lBF = `5.50302` Chr`20` : `50,155,124`	0.000	1.000	0.000
rs6137726 lBF = `5.43594` Chr`20` : `22,672,420`	0.000	1.000	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	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
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.000	1.000	0.000
rs78404372 lBF = `3.11633` Chr`20` : `55,855,793`	0.000	1.000	0.000
rs6066825 lBF = `2.9191` Chr`20` : `47,340,117`	0.000	1.000	0.000
rs961253 lBF = `2.77027` Chr`20` : `6,404,281`	0.000	1.000	0.000
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.000	1.000	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.000	1.000	0.000
rs7274811 lBF = `2.64338` Chr`20` : `32,333,181`	0.000	1.000	0.000
rs11906160 lBF = `2.57116` Chr`20` : `33,565,755`	0.000	1.000	0.000
rs1074683 lBF = `2.4111` Chr`20` : `32,304,653`	0.000	1.000	0.000
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.000	1.000	0.000
rs2207173 lBF = `1.8704` Chr`20` : `22,805,061`	0.000	1.000	0.000
rs4297946 lBF = `1.68864` Chr`20` : `39,811,275`	0.000	1.000	0.000
rs4812833 lBF = `1.61444` Chr`20` : `43,068,996`	0.000	1.000	0.000
rs6052484 lBF = `1.2705` Chr`20` : `4,260,610`	0.000	1.000	0.000
rs2738774 lBF = `1.08855` Chr`20` : `62,269,338`	0.000	1.000	0.000
rs4811971 lBF = `0.986235` Chr`20` : `56,796,784`	0.000	1.000	0.000
rs6010620 lBF = `0.974268` Chr`20` : `62,309,839`	0.000	1.000	0.000
rs6017235 lBF = `0.915693` Chr`20` : `42,620,592`	0.000	1.000	0.000
rs6088580 lBF = `0.89953` Chr`20` : `33,285,053`	0.000	1.000	0.000
rs6127471 lBF = `0.88988` Chr`20` : `36,844,038`	0.000	1.000	0.000
rs6058869 lBF = `0.700504` Chr`20` : `31,348,750`	0.000	1.000	0.000
rs6063312 lBF = `0.654202` Chr`20` : `47,343,059`	0.000	1.000	0.000
rs34602589 lBF = `0.652866` Chr`20` : `43,768,734`	0.000	1.000	0.000
rs17190927 lBF = `0.65024` Chr`20` : `13,123,733`	0.000	1.000	0.000
rs4243971 lBF = `0.641671` Chr`20` : `30,849,517`	0.000	1.000	0.000
rs3746446 lBF = `0.625774` Chr`20` : `33,574,765`	0.000	1.000	0.000
rs2423294 lBF = `0.610162` Chr`20` : `7,819,768`	0.000	1.000	0.000
rs1555322 lBF = `0.553694` Chr`20` : `33,849,179`	0.000	1.000	0.000
rs6140050 lBF = `0.539805` Chr`20` : `6,632,901`	0.000	1.000	0.000
rs979012 lBF = `0.528327` Chr`20` : `6,623,374`	0.000	1.000	0.000
rs1406961 lBF = `0.508594` Chr`20` : `61,895,920`	0.000	1.000	0.000
rs2423279 lBF = `0.507836` Chr`20` : `7,812,350`	0.000	1.000	0.000
rs2276498 lBF = `0.495772` Chr`20` : `52,610,496`	0.000	1.000	0.000
rs2145272 lBF = `0.452284` Chr`20` : `6,626,218`	0.000	1.000	0.000
rs2180439 lBF = `0.438863` Chr`20` : `21,853,100`	0.000	1.000	0.000
rs6051520 lBF = `0.402702` Chr`20` : `351,944`	0.000	1.000	0.000
rs6040449 lBF = `0.377949` Chr`20` : `11,209,522`	0.000	1.000	0.000
rs6024905 lBF = `0.371404` Chr`20` : `36,957,837`	0.000	1.000	0.000
rs6070116 lBF = `0.366143` Chr`20` : `56,044,184`	0.000	1.000	0.000
rs62202398 lBF = `0.362478` Chr`20` : `46,801,224`	0.000	1.000	0.000
rs742614 lBF = `0.351691` Chr`20` : `32,482,632`	0.000	1.000	0.000
rs6044777 lBF = `0.331462` Chr`20` : `17,368,542`	0.000	1.000	0.000
rs4468878 lBF = `0.32969` Chr`20` : `59,928,237`	0.000	1.000	0.000
rs6109680 lBF = `0.314481` Chr`20` : `13,046,591`	0.000	1.000	0.000
rs6135309 lBF = `0.292984` Chr`20` : `14,902,522`	0.000	1.000	0.000
rs6087990 lBF = `0.275541` Chr`20` : `31,349,908`	0.000	1.000	0.000
rs2070755 lBF = `0.26907` Chr`20` : `56,138,040`	0.000	1.000	0.000
rs6025590 lBF = `0.258413` Chr`20` : `56,070,505`	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 X0198

log Bayes Factor = 97.078

contains 5 variants

0.7169

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.7169

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.7169

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0245

log Bayes Factor = 256.009

contains 7 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7169

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7169

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7169

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7169

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7169

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7169

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7169

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7169

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7169

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7169

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7168

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7168

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7168

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7168

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7167

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7167

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7167

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7166

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7166

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7165

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7165

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7164

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7164

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7162

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7162

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7162

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7161

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7155

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7154

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7149

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7149

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7147

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7143

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7143

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7128

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7108

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7104

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7097

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7097

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7090

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7076

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7075

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7070

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7059

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7015

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7006

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6997

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6976

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6939

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6887

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6868

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6852

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6830

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6823

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6757

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6691

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6648

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6625

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6561

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.6537

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6492

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6452

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6300

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6281

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6257

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6007

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5878

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5827

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5515

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5358

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5245

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5241

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5078

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4949

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4909

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4407

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4360

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4222

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4137

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4083

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3985

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3811

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3319

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3176

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2782

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2645

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2498

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2440

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2345

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2281

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2234

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2154

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1836

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1769

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1745

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1724

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1723

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1623

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1499

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1403

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1299

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1213

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1188

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0949

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0850

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0781

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0754

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0705

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0679

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0675

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0631

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0515

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)

Hospitalization Episode Statistics (`HES`)