TreeWAS – [K41] Femoral hernia

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
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.675	0.325	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.612	0.388	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.551	0.449	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.539	0.460	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.539	0.461	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.531	0.469	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.528	0.472	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.483	0.517	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.476	0.524	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.433	0.566	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.419	0.581	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.413	0.587	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.408	0.592	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.407	0.593	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.403	0.597	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.401	0.599	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.399	0.601	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.393	0.607	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.385	0.615	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.368	0.632	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.358	0.642	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.338	0.662	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.319	0.681	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.315	0.685	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.303	0.697	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.745	0.255
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.255	0.745	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.244	0.756	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.243	0.757	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.242	0.758	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.240	0.760	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.232	0.768	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.221	0.779	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.220	0.780	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.207	0.792	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.192	0.807	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.190	0.810	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.182	0.818	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.177	0.823	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.173	0.827	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.165	0.835	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.160	0.840	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.155	0.844	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.123	0.877	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.119	0.881	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.885	0.114
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.103	0.897	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.102	0.898	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.099	0.901	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.099	0.901	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.097	0.903	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.096	0.904	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.089	0.910	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.086	0.914	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.083	0.916	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.067	0.932	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.067	0.933	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.064	0.935	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.062	0.938	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.062	0.938	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.062	0.938	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.061	0.938	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.061	0.939	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.052	0.947	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.050	0.950	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.049	0.951	0.000
rs224333 lBF = `33.3177` Chr`20` : `34,023,962`	0.000	0.957	0.043
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.043	0.957	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.038	0.961	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.038	0.962	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.036	0.963	0.000
rs143384 lBF = `39.0273` Chr`20` : `34,025,756`	0.000	0.965	0.035
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.035	0.965	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.033	0.967	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.031	0.969	0.000
rs16999165 lBF = `0.791896` Chr`20` : `52,807,221`	0.000	0.972	0.028
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.028	0.972	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.027	0.973	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.027	0.973	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.024	0.976	0.000
rs224329 lBF = `36.2774` Chr`20` : `34,019,579`	0.000	0.977	0.023
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.022	0.978	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.021	0.979	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.019	0.981	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.018	0.982	0.000
rs78110303 lBF = `35.1732` Chr`20` : `34,025,983`	0.000	0.984	0.016
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.016	0.984	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.015	0.985	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.015	0.985	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.015	0.985	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.014	0.986	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.014	0.986	0.001
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.014	0.986	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.012	0.987	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.011	0.989	0.000
rs2236164 lBF = `7.01229` Chr`20` : `34,097,353`	0.000	0.989	0.011
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.010	0.990	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.010	0.990	0.000
rs6127978 lBF = `0.10398` Chr`20` : `55,819,173`	0.000	0.991	0.009
rs4911179 lBF = `34.7706` Chr`20` : `33,972,899`	0.000	0.991	0.009
rs6060369 lBF = `31.7161` Chr`20` : `33,907,161`	0.000	0.991	0.009
rs6060373 lBF = `31.6676` Chr`20` : `33,914,208`	0.000	0.991	0.009
rs6011368 lBF = `-0.0861572` Chr`20` : `62,886,504`	0.009	0.991	0.000
rs4911494 lBF = `35.7111` Chr`20` : `33,971,914`	0.000	0.992	0.008
rs6088813 lBF = `35.2864` Chr`20` : `33,975,181`	0.000	0.992	0.008
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.007	0.993	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.007	0.993	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.006	0.994	0.000
rs6030171 lBF = `0.0876612` Chr`20` : `40,994,094`	0.006	0.994	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.005	0.995	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.004	0.995	0.001
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.005	0.995	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.003	0.995	0.001
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.004	0.996	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.002	0.996	0.002
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.004	0.996	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.004	0.996	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.004	0.996	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.004	0.996	0.000
rs6088765 lBF = `11.7874` Chr`20` : `33,799,280`	0.000	0.996	0.004
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.004	0.996	0.000
rs11696501 lBF = `-0.0889354` Chr`20` : `44,124,523`	0.004	0.996	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.003	0.996	0.000
rs6051080 lBF = `-0.0480208` Chr`20` : `25,975,674`	0.004	0.996	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.003	0.997	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.003	0.997	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.003	0.997	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.997	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.003	0.997	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.002	0.998	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.002	0.998	0.000
rs59329875 lBF = `-0.050512` Chr`20` : `44,547,672`	0.002	0.998	0.000
rs2326679 lBF = `-0.0685404` Chr`20` : `6,035,228`	0.002	0.998	0.000
rs721424 lBF = `-0.0462477` Chr`20` : `20,339,310`	0.000	0.998	0.002
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.002	0.998	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.002	0.998	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.002	0.998	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.002	0.998	0.000
rs1556832 lBF = `-0.120634` Chr`20` : `4,215,557`	0.002	0.998	0.000
rs6060448 lBF = `5.01857` Chr`20` : `34,112,192`	0.000	0.998	0.002
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.002	0.998	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.002	0.998	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.998	0.000
rs6073958 lBF = `-0.048734` Chr`20` : `44,551,855`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.001	0.998	0.001
rs6120849 lBF = `2.31896` Chr`20` : `33,730,387`	0.000	0.998	0.002
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.001	0.998	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.001	0.999	0.000
rs6065906 lBF = `-0.0575093` Chr`20` : `44,554,015`	0.001	0.999	0.000
rs6138150 lBF = `-0.0787003` Chr`20` : `23,847,009`	0.000	0.999	0.001
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.001	0.999	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.001	0.999	0.001
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.001	0.999	0.000
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.001	0.999	0.000
rs6124684 lBF = `-0.0980153` Chr`20` : `43,721,493`	0.000	0.999	0.001
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
rs6073972 lBF = `-0.0601376` Chr`20` : `44,590,298`	0.001	0.999	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.001	0.999	0.000
rs4465830 lBF = `-0.0581894` Chr`20` : `44,585,420`	0.001	0.999	0.000
rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.000	0.999	0.001
rs2236176 lBF = `-0.0485044` Chr`20` : `21,081,488`	0.000	0.999	0.001
rs67702392 lBF = `-0.0598091` Chr`20` : `8,878,281`	0.001	0.999	0.001
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs7679 lBF = `-0.0584116` Chr`20` : `44,576,502`	0.001	0.999	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.000	0.999	0.001
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.001	0.999	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.001	0.999	0.001
rs2425163 lBF = `2.5363` Chr`20` : `34,432,670`	0.000	0.999	0.001
rs11906854 lBF = `0.460921` Chr`20` : `34,383,634`	0.000	0.999	0.001
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.001	0.999	0.000
rs6080100 lBF = `-0.113781` Chr`20` : `16,003,406`	0.001	0.999	0.000
rs2248359 lBF = `-0.0895987` Chr`20` : `52,791,518`	0.000	0.999	0.001
rs6110809 lBF = `-0.0517478` Chr`20` : `15,851,077`	0.000	0.999	0.001
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.000	0.999	0.001
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs13036722 lBF = `0.0786236` Chr`20` : `168,020`	0.000	0.999	0.001
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
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
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
rs6013509 lBF = `-0.0274664` Chr`20` : `51,318,351`	0.001	0.999	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	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
rs230014 lBF = `-0.0188421` Chr`20` : `49,739,860`	0.001	0.999	0.000
rs6107516 lBF = `-0.0279149` Chr`20` : `4,677,092`	0.001	0.999	0.000
rs147775533 lBF = `-0.00020918` Chr`20` : `48,999,495`	0.001	0.999	0.000
rs2224610 lBF = `-0.00027109` Chr`20` : `9,631,387`	0.001	0.999	0.000
rs1233754 lBF = `0.0121221` Chr`20` : `15,552,811`	0.001	0.999	0.000
rs1570027 lBF = `35.8411` Chr`20` : `60,968,596`	0.000	0.999	0.001
rs11086243 lBF = `0.0395968` Chr`20` : `46,779,235`	0.000	0.999	0.001
rs13040824 lBF = `-0.054021` Chr`20` : `2,225,869`	0.000	0.999	0.001
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	0.999	0.001
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rs4811117 lBF = `0.00042833` Chr`20` : `49,671,435`	0.000	1.000	0.000
rs6085920 lBF = `-0.00040263` Chr`20` : `7,180,056`	0.000	1.000	0.000
rs4402823 lBF = `-0.00295026` Chr`20` : `47,089,525`	0.000	1.000	0.000
rs55797066 lBF = `-0.00886684` Chr`20` : `50,209,920`	0.000	1.000	0.000
rs4458264 lBF = `-0.0127124` Chr`20` : `47,089,537`	0.000	1.000	0.000
rs1209523 lBF = `-0.0139439` Chr`20` : `22,567,942`	0.000	1.000	0.000
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.000	1.000	0.000
rs6013355 lBF = `-0.0379993` Chr`20` : `50,637,660`	0.000	1.000	0.000
rs6084875 lBF = `-0.0504959` Chr`20` : `4,742,705`	0.000	1.000	0.000
rs6513791 lBF = `-0.0699982` Chr`20` : `41,058,122`	0.000	1.000	0.000
rs8118008 lBF = `-0.0812984` Chr`20` : `3,168,166`	0.000	1.000	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.000	1.000	0.000
rs2425052 lBF = `8.43174` Chr`20` : `33,880,729`	0.000	1.000	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.000	1.000	0.000
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.000	1.000	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.000	1.000	0.000
rs2738774 lBF = `1.08855` Chr`20` : `62,269,338`	0.000	1.000	0.000
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.000	1.000	0.000
rs13037755 lBF = `0.0702108` Chr`20` : `53,411,019`	0.000	1.000	0.000
rs6049375 lBF = `0.0618387` Chr`20` : `24,058,407`	0.000	1.000	0.000
rs12625057 lBF = `0.012655` Chr`20` : `57,790,436`	0.000	1.000	0.000
rs10470013 lBF = `0.0023234` Chr`20` : `49,609,677`	0.000	1.000	0.000
rs362987 lBF = `-0.0019999` Chr`20` : `10,277,452`	0.000	1.000	0.000
rs6048205 lBF = `-0.0034043` Chr`20` : `22,559,601`	0.000	1.000	0.000
rs7360412 lBF = `-0.00343882` Chr`20` : `2,800,801`	0.000	1.000	0.000
rs6099314 lBF = `-0.0154223` Chr`20` : `55,454,659`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs34972666 lBF = `-0.0212135` Chr`20` : `2,384,972`	0.000	1.000	0.000
rs2870137 lBF = `-0.0371776` Chr`20` : `38,685,541`	0.000	1.000	0.000
rs6133127 lBF = `-0.0518496` Chr`20` : `4,469,883`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs12480534 lBF = `-0.0741929` Chr`20` : `44,761,485`	0.000	1.000	0.000
rs259964 lBF = `-0.0773551` Chr`20` : `57,824,309`	0.000	1.000	0.000
rs1044573 lBF = `-0.109052` Chr`20` : `25,206,654`	0.000	1.000	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.000	1.000	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.000	1.000	0.000
rs214803 lBF = `38.436` Chr`20` : `2,290,333`	0.000	1.000	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.000	1.000	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.000	1.000	0.000
rs2284378 lBF = `10.2093` Chr`20` : `32,588,095`	0.000	1.000	0.000
rs214830 lBF = `6.04206` Chr`20` : `2,321,105`	0.000	1.000	0.000
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.000	1.000	0.000
rs11906160 lBF = `2.57116` Chr`20` : `33,565,755`	0.000	1.000	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.000	1.000	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.000	1.000	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.000	1.000	0.000
rs6074578 lBF = `0.867493` Chr`20` : `191,797`	0.000	1.000	0.000
rs3746446 lBF = `0.625774` Chr`20` : `33,574,765`	0.000	1.000	0.000
rs6051520 lBF = `0.402702` Chr`20` : `351,944`	0.000	1.000	0.000
rs1884897 lBF = `0.206925` Chr`20` : `6,612,832`	0.000	1.000	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.000	1.000	0.000
rs6110969 lBF = `0.0647183` Chr`20` : `16,197,510`	0.000	1.000	0.000
rs75691080 lBF = `0.0598647` Chr`20` : `62,269,750`	0.000	1.000	0.000
rs6035126 lBF = `0.055357` Chr`20` : `1,929,542`	0.000	1.000	0.000
rs816535 lBF = `0.0536421` Chr`20` : `26,255,996`	0.000	1.000	0.000
rs2229205 lBF = `0.049829` Chr`20` : `62,729,431`	0.000	1.000	0.000
rs6515773 lBF = `0.0393888` Chr`20` : `3,174,105`	0.000	1.000	0.000
rs932425 lBF = `0.0380209` Chr`20` : `37,873,610`	0.000	1.000	0.000
rs73084982 lBF = `0.0202311` Chr`20` : `3,411,053`	0.000	1.000	0.000
rs6026990 lBF = `0.00185688` Chr`20` : `58,177,615`	0.000	1.000	0.000
rs4815879 lBF = `-0.0208377` Chr`20` : `5,949,534`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs214785 lBF = `36.4332` Chr`20` : `2,283,457`	0.000	1.000	0.000
rs2425003 lBF = `24.2159` Chr`20` : `33,403,584`	0.000	1.000	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.000	1.000	0.000
rs6078000 lBF = `10.313` Chr`20` : `10,977,631`	0.000	1.000	0.000
rs6120513 lBF = `6.41611` Chr`20` : `32,675,636`	0.000	1.000	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.000	1.000	0.000
rs16997087 lBF = `0.11076` Chr`20` : `16,054,982`	0.000	1.000	0.000
rs2144940 lBF = `0.095381` Chr`20` : `23,050,806`	0.000	1.000	0.000
rs199307 lBF = `0.046558` Chr`20` : `15,177,580`	0.000	1.000	0.000
rs220519 lBF = `0.0174788` Chr`20` : `37,279,255`	0.000	1.000	0.000
rs6099847 lBF = `0.00673668` Chr`20` : `56,501,979`	0.000	1.000	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.000	1.000	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.000	1.000	0.000
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	1.000	0.000
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.000	1.000	0.000
rs1413020 lBF = `-0.0145749` Chr`20` : `12,730,042`	0.000	1.000	0.000
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.000	1.000	0.000
rs6081541 lBF = `-0.0206467` Chr`20` : `19,212,890`	0.000	1.000	0.000
rs11699237 lBF = `-0.0217365` Chr`20` : `55,683,996`	0.000	1.000	0.000
rs6084946 lBF = `-0.0264705` Chr`20` : `549,918`	0.000	1.000	0.000
rs4549165 lBF = `-0.0357221` Chr`20` : `46,336,026`	0.000	1.000	0.000
rs2057291 lBF = `-0.038961` Chr`20` : `57,472,043`	0.000	1.000	0.000
rs17723576 lBF = `-0.0475048` Chr`20` : `48,283,633`	0.000	1.000	0.000
rs17725255 lBF = `-0.071588` Chr`20` : `18,079,131`	0.000	1.000	0.000
rs2235808 lBF = `-0.0858124` Chr`20` : `42,815,795`	0.000	1.000	0.000
rs2024714 lBF = `-0.097588` Chr`20` : `60,212,494`	0.000	1.000	0.000
rs4810685 lBF = `-0.0993946` Chr`20` : `46,400,713`	0.000	1.000	0.000
rs35548558 lBF = `-0.106813` Chr`20` : `12,689,601`	0.000	1.000	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.000	1.000	0.000
rs214782 lBF = `35.5963` Chr`20` : `2,281,970`	0.000	1.000	0.000
rs62192643 lBF = `28.1451` Chr`20` : `2,279,955`	0.000	1.000	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.000	1.000	0.000
rs6047867 lBF = `16.1815` Chr`20` : `2,259,925`	0.000	1.000	0.000
rs975525 lBF = `5.99113` Chr`20` : `22,640,412`	0.000	1.000	0.000
rs62185668 lBF = `5.73859` Chr`20` : `10,961,935`	0.000	1.000	0.000
rs76894896 lBF = `5.28084` Chr`20` : `34,865,772`	0.000	1.000	0.000
rs2207173 lBF = `1.8704` Chr`20` : `22,805,061`	0.000	1.000	0.000
rs4813003 lBF = `1.02644` Chr`20` : `44,763,284`	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

0.9999

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1889

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

1.0000

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.9997

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9591

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9590

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9496

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9396

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9274

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9061

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8929

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8785

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8727

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8678

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.8664

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8111

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8075

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7906

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7834

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7809

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7766

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7635

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7501

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7482

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6964

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6903

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6596

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6581

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6497

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6487

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6412

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6377

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6336

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6285

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5992

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5750

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5679

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5642

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5507

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5283

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5200

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5113

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5087

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4976

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4968

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4836

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4836

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4797

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4784

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4780

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4678

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4668

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4655

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4413

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4397

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4364

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4193

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4159

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4129

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4053

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3932

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3910

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3888

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3465

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3337

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3305

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3136

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2806

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2689

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2589

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2516

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2495

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2464

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2422

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2407

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2390

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2372

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2366

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2366

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2363

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2348

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2316

Cluster X0285

log Bayes Factor = 52.7353

contains 4 variants

0.2314

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2202

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2185

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2165

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2133

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2083

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1994

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1956

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1956

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1926

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1845

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1797

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1730

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1727

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1543

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1529

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1521

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1367

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1309

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1259

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1254

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1231

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1158

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1138

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1121

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1084

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1056

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1053

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1010

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1006

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1001

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0886

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0866

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0848

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0845

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0833

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0822

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.0804

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0769

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0766

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0749

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0743

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0732

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0699

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0662

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.0661

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0581

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0558

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0514

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0507

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0506

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`)