TreeWAS – [E66] Obesity

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

E66

Obesity

Parent term	E65-E68 Obesity and other hyperalimentation
Nested terms	E66.0 Obesity due to excess calories E66.1 Drug-induced obesity E66.2 Extreme obesity with alveolar hypoventilation E66.8 Other obesity E66.9 Obesity, unspecified

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Variant effects

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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
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.971	0.029	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.921	0.079	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.919	0.081	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.859	0.141	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.842	0.158	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.781	0.219	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.725	0.275	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.720	0.280	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.620	0.380	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.603	0.397	0.000
rs6140050 lBF = `0.539805` Chr`20` : `6,632,901`	0.595	0.405	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.593	0.407	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.592	0.408	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.586	0.414	0.000
rs979012 lBF = `0.528327` Chr`20` : `6,623,374`	0.581	0.419	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.555	0.445	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.552	0.448	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.545	0.455	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.545	0.455	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.542	0.458	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.527	0.473	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.527	0.473	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.526	0.474	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.524	0.476	0.000
rs2145272 lBF = `0.452284` Chr`20` : `6,626,218`	0.519	0.481	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.489	0.511	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.485	0.515	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.482	0.518	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.456	0.544	0.000
rs1884897 lBF = `0.206925` Chr`20` : `6,612,832`	0.455	0.545	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.397	0.603	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.385	0.615	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.362	0.638	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.359	0.640	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.357	0.643	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.352	0.648	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.352	0.648	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.351	0.649	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.349	0.651	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.342	0.658	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.337	0.663	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.330	0.670	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.325	0.675	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.321	0.679	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.315	0.685	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.304	0.696	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.300	0.700	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.284	0.716	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.281	0.719	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.272	0.728	0.001
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.265	0.735	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.263	0.737	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.256	0.744	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.246	0.754	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.244	0.755	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.243	0.757	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.242	0.758	0.000
rs2145270 lBF = `0.144181` Chr`20` : `6,621,685`	0.237	0.763	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.236	0.764	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.228	0.772	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.223	0.777	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.221	0.779	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.217	0.783	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.216	0.784	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.215	0.785	0.000
rs1203951 lBF = `7.57183` Chr`20` : `22,611,301`	0.212	0.787	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.212	0.788	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.208	0.792	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.205	0.795	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.195	0.805	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.192	0.808	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.192	0.808	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.191	0.809	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.187	0.812	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.185	0.815	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.184	0.816	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.179	0.821	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.179	0.821	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.834	0.166
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.162	0.838	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.162	0.838	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.160	0.840	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.156	0.844	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.147	0.853	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.144	0.856	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.142	0.858	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.134	0.866	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.125	0.872	0.003
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.125	0.875	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.876	0.123
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.121	0.879	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.121	0.879	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.121	0.879	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.117	0.883	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.113	0.887	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.112	0.887	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.111	0.889	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.096	0.904	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.094	0.906	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.090	0.910	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.089	0.911	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.083	0.916	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.080	0.920	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.079	0.921	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.077	0.922	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.935	0.065
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.064	0.936	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.062	0.938	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.062	0.938	0.000
rs874499 lBF = `5.73451` Chr`20` : `2,217,138`	0.000	0.948	0.052
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.050	0.950	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.000	0.951	0.049
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.047	0.953	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.038	0.953	0.008
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.044	0.955	0.001
rs6082442 lBF = `7.80489` Chr`20` : `2,205,138`	0.000	0.956	0.044
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.035	0.965	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.033	0.966	0.001
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.034	0.966	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.031	0.969	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.028	0.972	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.028	0.972	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.026	0.974	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.023	0.977	0.000
rs74448913 lBF = `0.0355109` Chr`20` : `508,431`	0.023	0.977	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.022	0.978	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.000	0.979	0.021
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.980	0.020
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.020	0.980	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.019	0.981	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.019	0.981	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.018	0.982	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.016	0.984	0.000
rs967417 lBF = `-0.101207` Chr`20` : `6,620,893`	0.016	0.984	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.011	0.989	0.000
rs4812829 lBF = `0.27595` Chr`20` : `42,989,267`	0.008	0.992	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.008	0.992	0.000
rs6107853 lBF = `-0.104277` Chr`20` : `6,609,877`	0.008	0.992	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.007	0.992	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.008	0.992	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.006	0.993	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.007	0.993	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.006	0.994	0.000
rs7274581 lBF = `0.081653` Chr`20` : `55,018,260`	0.006	0.994	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.005	0.995	0.000
rs6062543 lBF = `5.50924` Chr`20` : `62,451,079`	0.000	0.995	0.005
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.005	0.995	0.000
rs2427345 lBF = `0.0858361` Chr`20` : `61,015,611`	0.004	0.996	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.004	0.996	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.004	0.996	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.004	0.996	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.004	0.996	0.000
rs112815007 lBF = `-0.00179143` Chr`20` : `532,257`	0.004	0.996	0.000
rs6103489 lBF = `-0.0207067` Chr`20` : `42,487,204`	0.000	0.997	0.003
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.003	0.997	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.000	0.997	0.003
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.003	0.997	0.000
rs6013915 lBF = `0.185354` Chr`20` : `52,810,377`	0.003	0.997	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.003	0.997	0.000
rs45461993 lBF = `5.77094` Chr`20` : `61,983,901`	0.002	0.997	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs6056869 lBF = `0.0352194` Chr`20` : `9,762,448`	0.000	0.998	0.002
rs932425 lBF = `0.0380209` Chr`20` : `37,873,610`	0.000	0.998	0.002
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.002	0.998	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.002	0.998	0.000
rs4814920 lBF = `-0.0166134` Chr`20` : `19,865,956`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.998	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.002	0.998	0.000
rs6027072 lBF = `-0.0222178` Chr`20` : `37,284,070`	0.002	0.998	0.000
rs6065945 lBF = `-0.0812995` Chr`20` : `44,921,631`	0.000	0.998	0.002
rs73078593 lBF = `0.17331` Chr`20` : `12,291,523`	0.000	0.998	0.001
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.001	0.998	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs75691080 lBF = `0.0598647` Chr`20` : `62,269,750`	0.001	0.999	0.000
rs16985493 lBF = `0.0534807` Chr`20` : `60,293,563`	0.001	0.999	0.000
rs10485813 lBF = `-0.0491565` Chr`20` : `51,583,983`	0.000	0.999	0.001
rs6046396 lBF = `-0.0793566` Chr`20` : `19,852,503`	0.001	0.999	0.000
rs1007458 lBF = `10.3983` Chr`20` : `22,587,676`	0.001	0.999	0.000
rs975525 lBF = `5.99113` Chr`20` : `22,640,412`	0.001	0.999	0.000
rs187497509 lBF = `0.0037498` Chr`20` : `42,979,571`	0.000	0.999	0.001
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	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
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.001	0.999	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.001	0.999	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.001	0.999	0.000
rs4815130 lBF = `9.49417` Chr`20` : `22,635,852`	0.001	0.999	0.000
rs1741629 lBF = `0.0615061` Chr`20` : `23,898,995`	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
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
rs279720 lBF = `0` Chr`20` : `45,124,222`	0.001	0.999	0.001
rs115205687 lBF = `0` Chr`20` : `8,895,776`	0.001	0.999	0.001
rs74275091 lBF = `0` Chr`20` : `45,518,433`	0.001	0.999	0.001
rs147619472 lBF = `0` Chr`20` : `60,890,809`	0.001	0.999	0.001
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rs214782 lBF = `35.5963` Chr`20` : `2,281,970`	0.000	1.000	0.000
rs6059969 lBF = `27.4928` Chr`20` : `33,245,284`	0.000	1.000	0.000
rs6060043 lBF = `24.0784` Chr`20` : `33,364,584`	0.000	1.000	0.000
rs16982520 lBF = `11.4522` Chr`20` : `57,758,720`	0.000	1.000	0.000
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.000	1.000	0.000
rs909341 lBF = `0.73248` Chr`20` : `62,328,742`	0.000	1.000	0.000
rs586446 lBF = `0.660488` Chr`20` : `4,387,134`	0.000	1.000	0.000
rs1555322 lBF = `0.553694` Chr`20` : `33,849,179`	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
rs16989303 lBF = `0.131312` Chr`20` : `4,169,079`	0.000	1.000	0.000
rs13037755 lBF = `0.0702108` Chr`20` : `53,411,019`	0.000	1.000	0.000
rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	1.000	0.000
rs62204504 lBF = `0.0196843` Chr`20` : `42,795,048`	0.000	1.000	0.000
rs55970365 lBF = `0.0105177` Chr`20` : `38,725,186`	0.000	1.000	0.000
rs13043330 lBF = `0.00674976` Chr`20` : `3,756,597`	0.000	1.000	0.000
rs6099847 lBF = `0.00673668` Chr`20` : `56,501,979`	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
rs6094710 lBF = `-0.0148637` Chr`20` : `46,095,649`	0.000	1.000	0.000
rs2273061 lBF = `-0.0226879` Chr`20` : `10,639,543`	0.000	1.000	0.000
rs4812973 lBF = `-0.0379201` Chr`20` : `44,507,536`	0.000	1.000	0.000
rs1160312 lBF = `-0.0427852` Chr`20` : `22,050,503`	0.000	1.000	0.000
rs6129564 lBF = `-0.0430908` Chr`20` : `38,904,203`	0.000	1.000	0.000
rs13038095 lBF = `-0.0471696` Chr`20` : `46,425,576`	0.000	1.000	0.000
rs6110809 lBF = `-0.0517478` Chr`20` : `15,851,077`	0.000	1.000	0.000
rs4815868 lBF = `-0.0577596` Chr`20` : `5,840,539`	0.000	1.000	0.000
rs2073302 lBF = `-0.0633029` Chr`20` : `13,052,671`	0.000	1.000	0.000
rs6011674 lBF = `-0.0667445` Chr`20` : `61,854,452`	0.000	1.000	0.000
rs964293 lBF = `-0.0683461` Chr`20` : `52,816,717`	0.000	1.000	0.000
rs1741309 lBF = `-0.0826531` Chr`20` : `4,144,577`	0.000	1.000	0.000
rs6042314 lBF = `-0.0855334` Chr`20` : `13,696,129`	0.000	1.000	0.000
rs6065777 lBF = `-0.104166` Chr`20` : `43,669,641`	0.000	1.000	0.000
rs6080100 lBF = `-0.113781` Chr`20` : `16,003,406`	0.000	1.000	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	1.000	0.000
rs214803 lBF = `38.436` Chr`20` : `2,290,333`	0.000	1.000	0.000
rs2425003 lBF = `24.2159` Chr`20` : `33,403,584`	0.000	1.000	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.000	1.000	0.000
rs1853092 lBF = `13.3769` Chr`20` : `2,304,376`	0.000	1.000	0.000
rs6015450 lBF = `12.9686` Chr`20` : `57,751,117`	0.000	1.000	0.000
rs6088765 lBF = `11.7874` Chr`20` : `33,799,280`	0.000	1.000	0.000
rs2284378 lBF = `10.2093` Chr`20` : `32,588,095`	0.000	1.000	0.000
rs6085661 lBF = `9.12054` Chr`20` : `6,693,128`	0.000	1.000	0.000
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.000	1.000	0.000
rs1465537 lBF = `6.53338` Chr`20` : `57,698,020`	0.000	1.000	0.000
rs6120513 lBF = `6.41611` Chr`20` : `32,675,636`	0.000	1.000	0.000
rs76894896 lBF = `5.28084` Chr`20` : `34,865,772`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs2297441 lBF = `0.960517` Chr`20` : `62,327,582`	0.000	1.000	0.000
rs3746446 lBF = `0.625774` Chr`20` : `33,574,765`	0.000	1.000	0.000
rs6097169 lBF = `0.310093` Chr`20` : `51,557,161`	0.000	1.000	0.000
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.000	1.000	0.000
rs16997087 lBF = `0.11076` Chr`20` : `16,054,982`	0.000	1.000	0.000
rs7267722 lBF = `0.10931` Chr`20` : `22,787,622`	0.000	1.000	0.000
rs6137473 lBF = `0.0723357` Chr`20` : `21,884,693`	0.000	1.000	0.000
rs11696845 lBF = `0.0701649` Chr`20` : `43,371,320`	0.000	1.000	0.000
rs13041126 lBF = `0.0558355` Chr`20` : `51,092,996`	0.000	1.000	0.000
rs6091540 lBF = `0.050287` Chr`20` : `51,087,862`	0.000	1.000	0.000
rs6579245 lBF = `0.0252453` Chr`20` : `34,125,271`	0.000	1.000	0.000
rs1407335 lBF = `0.0235436` Chr`20` : `13,222,858`	0.000	1.000	0.000
rs6055685 lBF = `0.0226222` Chr`20` : `8,213,786`	0.000	1.000	0.000
rs2072910 lBF = `0.0189078` Chr`20` : `9,365,303`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs228836 lBF = `0.0156662` Chr`20` : `50,065,648`	0.000	1.000	0.000
rs6105057 lBF = `0.00519414` Chr`20` : `13,229,326`	0.000	1.000	0.000
rs6108958 lBF = `-0.00167067` Chr`20` : `11,393,882`	0.000	1.000	0.000
rs6139030 lBF = `-0.0024395` Chr`20` : `3,187,733`	0.000	1.000	0.000
rs1158167 lBF = `-0.00362974` Chr`20` : `23,578,189`	0.000	1.000	0.000
rs11697186 lBF = `-0.00429208` Chr`20` : `3,185,123`	0.000	1.000	0.000
rs965469 lBF = `-0.00732339` Chr`20` : `3,381,549`	0.000	1.000	0.000
rs911119 lBF = `-0.0082142` Chr`20` : `23,612,737`	0.000	1.000	0.000
rs6099314 lBF = `-0.0154223` Chr`20` : `55,454,659`	0.000	1.000	0.000
rs6108038 lBF = `-0.0172308` Chr`20` : `819,662`	0.000	1.000	0.000
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.000	1.000	0.000
rs6054906 lBF = `-0.0242098` Chr`20` : `7,294,903`	0.000	1.000	0.000
rs6084946 lBF = `-0.0264705` Chr`20` : `549,918`	0.000	1.000	0.000
rs6013509 lBF = `-0.0274664` Chr`20` : `51,318,351`	0.000	1.000	0.000
rs4812219 lBF = `-0.029306` Chr`20` : `59,422,971`	0.000	1.000	0.000
rs8123881 lBF = `-0.0297727` Chr`20` : `15,819,495`	0.000	1.000	0.000
rs4815617 lBF = `-0.0351888` Chr`20` : `3,827,309`	0.000	1.000	0.000
rs1293386 lBF = `-0.035461` Chr`20` : `51,797,353`	0.000	1.000	0.000
rs4549165 lBF = `-0.0357221` Chr`20` : `46,336,026`	0.000	1.000	0.000
rs6047844 lBF = `-0.037577` Chr`20` : `22,037,575`	0.000	1.000	0.000
rs10485681 lBF = `-0.0409523` Chr`20` : `40,493,072`	0.000	1.000	0.000
rs55734731 lBF = `-0.0410288` Chr`20` : `38,572,414`	0.000	1.000	0.000
rs454422 lBF = `-0.0414817` Chr`20` : `5,943,693`	0.000	1.000	0.000
rs7352944 lBF = `-0.041945` Chr`20` : `48,632,610`	0.000	1.000	0.000
rs4812048 lBF = `-0.0447792` Chr`20` : `57,587,771`	0.000	1.000	0.000
rs4811196 lBF = `-0.0461361` Chr`20` : `36,469,694`	0.000	1.000	0.000
rs6064045 lBF = `-0.0477969` Chr`20` : `52,701,293`	0.000	1.000	0.000
rs6032614 lBF = `-0.048299` Chr`20` : `44,609,595`	0.000	1.000	0.000
rs1223271 lBF = `-0.0492351` Chr`20` : `13,296,912`	0.000	1.000	0.000
rs6133127 lBF = `-0.0518496` Chr`20` : `4,469,883`	0.000	1.000	0.000
rs1041536 lBF = `-0.0525695` Chr`20` : `9,888,275`	0.000	1.000	0.000
rs6035684 lBF = `-0.0535479` Chr`20` : `20,735,577`	0.000	1.000	0.000
rs6079395 lBF = `-0.0571471` Chr`20` : `14,327,899`	0.000	1.000	0.000
rs2424460 lBF = `-0.0580349` Chr`20` : `22,740,897`	0.000	1.000	0.000
rs67702392 lBF = `-0.0598091` Chr`20` : `8,878,281`	0.000	1.000	0.000
rs261360 lBF = `-0.0624635` Chr`20` : `5,037,774`	0.000	1.000	0.000
rs7263077 lBF = `-0.067404` Chr`20` : `41,234,578`	0.000	1.000	0.000
rs6031882 lBF = `-0.0702694` Chr`20` : `35,809,783`	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 X0175

log Bayes Factor = 45.9153

contains 4 variants

1.0000

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4586

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2625

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.1960

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

1.0000

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

1.0000

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

1.0000

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.9998

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.9998

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9989

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9988

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9987

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9983

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9974

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9961

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9948

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9945

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9938

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9936

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9900

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9865

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9840

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9788

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9658

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9565

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9540

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9504

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9422

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9316

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9213

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9197

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9137

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9105

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9038

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9021

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8998

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8923

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8915

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.8845

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8822

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8605

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8500

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8225

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8165

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8079

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8045

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7951

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7758

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7375

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7351

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7323

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7157

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7036

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6894

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6889

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6538

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6404

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6365

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6361

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6353

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6106

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6092

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5893

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5815

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5677

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5408

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5366

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5205

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4738

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4729

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4660

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4505

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4497

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4494

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4337

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4287

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4232

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4207

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4198

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4125

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4124

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4118

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4048

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4022

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3989

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3933

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3927

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3849

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3832

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3821

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3781

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3664

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3604

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3532

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3465

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3446

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3390

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3377

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3241

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2940

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2939

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2901

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2900

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2880

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2828

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2804

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2711

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2665

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2660

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2647

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2627

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2627

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2607

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2543

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2515

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2426

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2366

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2346

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2340

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2274

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2231

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2230

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2196

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2177

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2163

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2140

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2110

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2095

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2032

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2007

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2005

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2003

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1996

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1893

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1870

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1865

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1854

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1832

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1787

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1775

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1772

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1759

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1720

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1682

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1671

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1649

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1640

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1630

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1624

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1624

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1621

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1618

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1602

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1587

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1535

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1534

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1532

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1502

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1491

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1480

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1471

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1460

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1379

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1361

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1353

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1321

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1300

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1300

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1289

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1288

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1284

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1249

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1247

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1239

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1225

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1204

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1197

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1182

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1158

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1146

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1139

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1135

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1105

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1092

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1085

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1083

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1082

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1067

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1061

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1036

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1009

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1007

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0970

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0932

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0916

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0881

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0865

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0848

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0835

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0813

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0809

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0792

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0783

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0776

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0770

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0715

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0662

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0575

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0558

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0558

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`)