TreeWAS – [K43.1] Ventral hernia with gangrene

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`	0.492	0.508	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.491	0.509	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.490	0.510	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.446	0.554	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.440	0.560	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.438	0.562	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.437	0.563	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.426	0.574	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.414	0.586	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.412	0.588	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.394	0.606	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.369	0.631	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.344	0.656	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.339	0.661	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.331	0.668	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.314	0.686	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.309	0.691	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.286	0.714	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.276	0.723	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.255	0.744	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.247	0.753	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.221	0.779	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.206	0.794	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.195	0.805	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.189	0.810	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.160	0.839	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.157	0.843	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.155	0.845	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.148	0.852	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.147	0.853	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.141	0.858	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.127	0.873	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.118	0.882	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.115	0.885	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.886	0.113
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.108	0.892	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.102	0.898	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.101	0.899	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.100	0.900	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.097	0.903	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.095	0.904	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.084	0.916	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.084	0.916	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.920	0.080
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.077	0.923	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.077	0.923	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.076	0.924	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.070	0.930	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.068	0.932	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.067	0.933	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.061	0.938	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.061	0.939	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.057	0.943	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.055	0.945	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.053	0.947	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.048	0.952	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.047	0.953	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.046	0.954	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.045	0.955	0.000
rs224333 lBF = `33.3177` Chr`20` : `34,023,962`	0.000	0.959	0.041
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.036	0.964	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.034	0.966	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.032	0.968	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.029	0.971	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.028	0.972	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.027	0.973	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.026	0.974	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.026	0.974	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.025	0.975	0.000
rs16999165 lBF = `0.791896` Chr`20` : `52,807,221`	0.000	0.977	0.023
rs143384 lBF = `39.0273` Chr`20` : `34,025,756`	0.000	0.977	0.023
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.022	0.977	0.000
rs224329 lBF = `36.2774` Chr`20` : `34,019,579`	0.000	0.978	0.022
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.020	0.980	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.020	0.980	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.019	0.981	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.017	0.983	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.017	0.983	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.016	0.983	0.000
rs78110303 lBF = `35.1732` Chr`20` : `34,025,983`	0.000	0.985	0.015
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.015	0.985	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.014	0.986	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.014	0.986	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.013	0.987	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.013	0.987	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.013	0.987	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.012	0.988	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.011	0.988	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.010	0.989	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.009	0.991	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.009	0.991	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.007	0.992	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.007	0.992	0.000
rs6062344 lBF = `0.123965` Chr`20` : `62,696,024`	0.007	0.993	0.000
rs4911179 lBF = `34.7706` Chr`20` : `33,972,899`	0.000	0.993	0.006
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.006	0.994	0.000
rs4911494 lBF = `35.7111` Chr`20` : `33,971,914`	0.000	0.994	0.006
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.005	0.994	0.001
rs2236164 lBF = `7.01229` Chr`20` : `34,097,353`	0.000	0.994	0.006
rs6060373 lBF = `31.6676` Chr`20` : `33,914,208`	0.000	0.994	0.006
rs6060369 lBF = `31.7161` Chr`20` : `33,907,161`	0.000	0.994	0.006
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.006	0.994	0.000
rs6088813 lBF = `35.2864` Chr`20` : `33,975,181`	0.000	0.994	0.006
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.005	0.995	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.005	0.995	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.005	0.995	0.000
rs6066084 lBF = `0.0958774` Chr`20` : `45,460,323`	0.000	0.995	0.004
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.001	0.996	0.003
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.003	0.996	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.002	0.997	0.001
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.003	0.997	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.003	0.997	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.003	0.997	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.003	0.997	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.003	0.997	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.002	0.997	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.002	0.997	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.002	0.997	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.000	0.998	0.002
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs6513791 lBF = `-0.0699982` Chr`20` : `41,058,122`	0.002	0.998	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.001	0.998	0.000
rs6041428 lBF = `0.015758` Chr`20` : `12,506,345`	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	0.998	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.001	0.999	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.001	0.999	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.001	0.999	0.001
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.001	0.999	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.001	0.999	0.000
rs6073958 lBF = `-0.048734` Chr`20` : `44,551,855`	0.000	0.999	0.001
rs59329875 lBF = `-0.050512` Chr`20` : `44,547,672`	0.000	0.999	0.001
rs4465830 lBF = `-0.0581894` Chr`20` : `44,585,420`	0.000	0.999	0.001
rs6073972 lBF = `-0.0601376` Chr`20` : `44,590,298`	0.000	0.999	0.001
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.001	0.999	0.000
rs7267979 lBF = `-0.0816562` Chr`20` : `25,298,087`	0.000	0.999	0.001
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.001	0.999	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	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
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs6088765 lBF = `11.7874` Chr`20` : `33,799,280`	0.000	0.999	0.001
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.001	0.999	0.001
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.001	0.999	0.000
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.001	0.999	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs259991 lBF = `0.139819` Chr`20` : `57,728,348`	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
rs187535555 lBF = `0` Chr`20` : `3,821,163`	0.001	0.999	0.001
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
rs186485497 lBF = `0` Chr`20` : `57,457,342`	0.001	0.999	0.001
rs190821608 lBF = `0` Chr`20` : `16,280,310`	0.001	0.999	0.001
rs11907106 lBF = `-0.00001184` Chr`20` : `12,082,642`	0.001	0.999	0.000
rs6065904 lBF = `-0.0786957` Chr`20` : `44,534,651`	0.000	0.999	0.001
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.001	0.999	0.000
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
rs1739654 lBF = `-0.0258588` Chr`20` : `36,977,970`	0.000	0.999	0.001
rs6065906 lBF = `-0.0575093` Chr`20` : `44,554,015`	0.000	0.999	0.001
rs6120849 lBF = `2.31896` Chr`20` : `33,730,387`	0.000	0.999	0.001
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.001	0.999	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.001	0.999	0.000
rs2224610 lBF = `-0.00027109` Chr`20` : `9,631,387`	0.001	0.999	0.000
rs147775533 lBF = `-0.00020918` Chr`20` : `48,999,495`	0.001	0.999	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.999	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.001	0.999	0.000
rs1233754 lBF = `0.0121221` Chr`20` : `15,552,811`	0.001	0.999	0.000
rs17725255 lBF = `-0.071588` Chr`20` : `18,079,131`	0.001	0.999	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.001	0.999	0.000
rs55797066 lBF = `-0.00886684` Chr`20` : `50,209,920`	0.000	0.999	0.001
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.001	0.999	0.000
rs6088792 lBF = `9.74149` Chr`20` : `33,909,784`	0.000	0.999	0.001
rs8123881 lBF = `-0.0297727` Chr`20` : `15,819,495`	0.000	0.999	0.001
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.000	0.999	0.001
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.001	0.999	0.000
rs6026990 lBF = `0.00185688` Chr`20` : `58,177,615`	0.000	0.999	0.001
rs2745761 lBF = `-0.00055091` Chr`20` : `8,277,943`	0.000	0.999	0.000
rs7679 lBF = `-0.0584116` Chr`20` : `44,576,502`	0.000	0.999	0.001
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	0.999	0.001
rs55864139 lBF = `0.0388845` Chr`20` : `40,049,579`	0.001	0.999	0.000
rs7273787 lBF = `-0.0341285` Chr`20` : `4,098,567`	0.001	0.999	0.000
rs6060448 lBF = `5.01857` Chr`20` : `34,112,192`	0.000	0.999	0.001
rs2180439 lBF = `0.438863` Chr`20` : `21,853,100`	0.001	0.999	0.000
rs67702392 lBF = `-0.0598091` Chr`20` : `8,878,281`	0.001	0.999	0.000
rs2426087 lBF = `0.00758754` Chr`20` : `47,379,811`	0.001	0.999	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.000	0.999	0.001
rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	0.999	0.000
rs73078593 lBF = `0.17331` Chr`20` : `12,291,523`	0.000	0.999	0.000
rs116940963 lBF = `0.0121686` Chr`20` : `10,271,367`	0.000	0.999	0.000
rs139672965 lBF = `0.00975118` Chr`20` : `25,266,900`	0.000	0.999	0.000
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rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.000	1.000	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.000	1.000	0.000
rs6010620 lBF = `0.974268` Chr`20` : `62,309,839`	0.000	1.000	0.000
rs6077414 lBF = `0.594491` Chr`20` : `8,704,552`	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
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
rs6042935 lBF = `0.406382` Chr`20` : `14,797,572`	0.000	1.000	0.000
rs62202398 lBF = `0.362478` Chr`20` : `46,801,224`	0.000	1.000	0.000
rs1884302 lBF = `0.171877` Chr`20` : `7,106,289`	0.000	1.000	0.000
rs4814176 lBF = `0.139184` Chr`20` : `12,959,398`	0.000	1.000	0.000
rs364585 lBF = `0.133376` Chr`20` : `12,962,718`	0.000	1.000	0.000
rs13036722 lBF = `0.0786236` Chr`20` : `168,020`	0.000	1.000	0.000
rs1570669 lBF = `0.0758861` Chr`20` : `52,774,427`	0.000	1.000	0.000
rs13037755 lBF = `0.0702108` Chr`20` : `53,411,019`	0.000	1.000	0.000
rs16985493 lBF = `0.0534807` Chr`20` : `60,293,563`	0.000	1.000	0.000
rs199307 lBF = `0.046558` Chr`20` : `15,177,580`	0.000	1.000	0.000
rs151361 lBF = `0.041818` Chr`20` : `57,614,002`	0.000	1.000	0.000
rs204664 lBF = `0.0344481` Chr`20` : `532,805`	0.000	1.000	0.000
rs6055685 lBF = `0.0226222` Chr`20` : `8,213,786`	0.000	1.000	0.000
rs73084982 lBF = `0.0202311` Chr`20` : `3,411,053`	0.000	1.000	0.000
rs62204504 lBF = `0.0196843` Chr`20` : `42,795,048`	0.000	1.000	0.000
rs220519 lBF = `0.0174788` Chr`20` : `37,279,255`	0.000	1.000	0.000
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.000	1.000	0.000
rs6105057 lBF = `0.00519414` Chr`20` : `13,229,326`	0.000	1.000	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.000	1.000	0.000
rs2073145 lBF = `-0.00195342` Chr`20` : `56,190,634`	0.000	1.000	0.000
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.000	1.000	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	0.000	1.000	0.000
rs4810796 lBF = `-0.015137` Chr`20` : `47,088,200`	0.000	1.000	0.000
rs4815879 lBF = `-0.0208377` Chr`20` : `5,949,534`	0.000	1.000	0.000
rs34972666 lBF = `-0.0212135` Chr`20` : `2,384,972`	0.000	1.000	0.000
rs6044834 lBF = `-0.0292816` Chr`20` : `17,436,473`	0.000	1.000	0.000
rs4812219 lBF = `-0.029306` Chr`20` : `59,422,971`	0.000	1.000	0.000
rs927833 lBF = `-0.0415113` Chr`20` : `22,041,577`	0.000	1.000	0.000
rs6133127 lBF = `-0.0518496` Chr`20` : `4,469,883`	0.000	1.000	0.000
rs11696277 lBF = `-0.066727` Chr`20` : `17,264,604`	0.000	1.000	0.000
rs964293 lBF = `-0.0683461` Chr`20` : `52,816,717`	0.000	1.000	0.000
rs12480819 lBF = `-0.0786368` Chr`20` : `17,592,300`	0.000	1.000	0.000
rs2024714 lBF = `-0.097588` Chr`20` : `60,212,494`	0.000	1.000	0.000
rs6036759 lBF = `-0.109938` Chr`20` : `2,491,209`	0.000	1.000	0.000
rs6068020 lBF = `-0.113666` Chr`20` : `50,559,652`	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
rs4911442 lBF = `29.2005` Chr`20` : `33,355,046`	0.000	1.000	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.000	1.000	0.000
rs6088316 lBF = `17.437` Chr`20` : `32,426,842`	0.000	1.000	0.000
rs6047800 lBF = `15.1478` Chr`20` : `2,252,739`	0.000	1.000	0.000
rs236720 lBF = `14.4396` Chr`20` : `57,702,611`	0.000	1.000	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.000	1.000	0.000
rs6087685 lBF = `12.9938` Chr`20` : `33,777,612`	0.000	1.000	0.000
rs1012621 lBF = `9.74089` Chr`20` : `2,306,312`	0.000	1.000	0.000
rs4815070 lBF = `8.72648` Chr`20` : `2,235,758`	0.000	1.000	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.000	1.000	0.000
rs17216707 lBF = `7.10637` Chr`20` : `52,732,362`	0.000	1.000	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.000	1.000	0.000
rs961253 lBF = `2.77027` Chr`20` : `6,404,281`	0.000	1.000	0.000
rs8114671 lBF = `2.68271` Chr`20` : `33,789,142`	0.000	1.000	0.000
rs11906160 lBF = `2.57116` Chr`20` : `33,565,755`	0.000	1.000	0.000
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.000	1.000	0.000
rs6062302 lBF = `1.19347` Chr`20` : `62,320,968`	0.000	1.000	0.000
rs6127471 lBF = `0.88988` Chr`20` : `36,844,038`	0.000	1.000	0.000
rs586446 lBF = `0.660488` Chr`20` : `4,387,134`	0.000	1.000	0.000
rs3746446 lBF = `0.625774` Chr`20` : `33,574,765`	0.000	1.000	0.000
rs2145272 lBF = `0.452284` Chr`20` : `6,626,218`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	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
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.000	1.000	0.000
rs2277862 lBF = `0.209698` Chr`20` : `34,152,782`	0.000	1.000	0.000
rs680379 lBF = `0.152008` Chr`20` : `12,969,400`	0.000	1.000	0.000
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.000	1.000	0.000
rs6080550 lBF = `0.148133` Chr`20` : `1,759,590`	0.000	1.000	0.000
rs2145270 lBF = `0.144181` Chr`20` : `6,621,685`	0.000	1.000	0.000
rs6040399 lBF = `0.1351` Chr`20` : `11,157,011`	0.000	1.000	0.000
rs12481680 lBF = `0.134` Chr`20` : `56,428,705`	0.000	1.000	0.000
rs6060821 lBF = `0.0845104` Chr`20` : `30,294,034`	0.000	1.000	0.000
rs6060960 lBF = `0.0766605` Chr`20` : `30,394,517`	0.000	1.000	0.000
rs2424635 lBF = `0.0666228` Chr`20` : `24,717,085`	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
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.000	1.000	0.000
rs6054374 lBF = `0.0370088` Chr`20` : `6,578,556`	0.000	1.000	0.000
rs2207418 lBF = `0.0274439` Chr`20` : `11,174,903`	0.000	1.000	0.000
rs6137287 lBF = `0.0261537` Chr`20` : `21,180,259`	0.000	1.000	0.000
rs228836 lBF = `0.0156662` Chr`20` : `50,065,648`	0.000	1.000	0.000
rs297755 lBF = `0.0130089` Chr`20` : `4,501,875`	0.000	1.000	0.000
rs6099847 lBF = `0.00673668` Chr`20` : `56,501,979`	0.000	1.000	0.000
rs157640 lBF = `0.0015087` Chr`20` : `53,414,539`	0.000	1.000	0.000
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	1.000	0.000
rs1158167 lBF = `-0.00362974` Chr`20` : `23,578,189`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs1569723 lBF = `-0.0161558` Chr`20` : `44,742,064`	0.000	1.000	0.000
rs6108038 lBF = `-0.0172308` Chr`20` : `819,662`	0.000	1.000	0.000
rs230014 lBF = `-0.0188421` Chr`20` : `49,739,860`	0.000	1.000	0.000
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.000	1.000	0.000
rs6050267 lBF = `-0.0211359` Chr`20` : `25,019,099`	0.000	1.000	0.000
rs35829183 lBF = `-0.025036` Chr`20` : `20,044,759`	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 X0207

log Bayes Factor = 94.6548

contains 2 variants

0.7169

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1134

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7021

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7014

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7012

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6989

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.6940

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6926

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6900

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6866

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6824

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6766

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6585

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6517

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6469

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6423

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6318

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6202

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6176

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6067

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5988

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5857

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5722

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5609

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5405

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5368

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5307

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4948

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4793

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4789

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4569

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4527

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4500

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4383

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4063

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3961

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3958

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3887

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3863

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3781

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3482

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3445

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3113

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3104

Cluster X0285

log Bayes Factor = 52.7353

contains 4 variants

0.3077

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2775

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2754

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2746

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2621

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2551

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2535

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2457

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2396

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2354

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2344

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2301

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2079

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2011

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1934

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1768

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1751

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1734

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1724

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1682

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1669

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1624

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1609

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1546

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1520

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1515

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1487

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1410

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1337

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1327

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1288

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1278

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1222

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1214

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1200

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1122

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1097

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1083

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1010

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0976

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0950

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0937

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0916

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0909

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0751

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0743

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0717

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0711

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0701

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0698

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0679

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0663

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0653

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0627

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0627

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0614

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0609

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0559

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0510

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`)