TreeWAS – [K00.0] Anodontia

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
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.538	0.462	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.536	0.464	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.528	0.472	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.511	0.489	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.510	0.490	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.499	0.500	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.480	0.520	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.478	0.521	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.475	0.525	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.456	0.544	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.437	0.563	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.435	0.565	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.434	0.565	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.432	0.568	0.000
rs6077414 lBF = `0.594491` Chr`20` : `8,704,552`	0.426	0.574	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.421	0.579	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.420	0.580	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.415	0.585	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.414	0.586	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.408	0.591	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.394	0.605	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.383	0.617	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.381	0.619	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.368	0.631	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.351	0.649	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.348	0.652	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.348	0.652	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.347	0.652	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.345	0.655	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.345	0.655	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.340	0.660	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.338	0.662	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.311	0.689	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.304	0.696	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.300	0.700	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.271	0.729	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.244	0.756	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.235	0.765	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.230	0.770	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.216	0.784	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.188	0.812	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.188	0.812	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.179	0.821	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.173	0.827	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.161	0.839	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.157	0.842	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.152	0.848	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.148	0.852	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.144	0.855	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.140	0.860	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.131	0.868	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.126	0.873	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.116	0.883	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.109	0.891	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.108	0.892	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.893	0.107
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.101	0.898	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.099	0.901	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.097	0.902	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.095	0.905	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.090	0.910	0.000
rs1535067 lBF = `14.7922` Chr`20` : `8,607,333`	0.000	0.915	0.085
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.073	0.927	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.001	0.933	0.066
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.065	0.935	0.000
rs16999165 lBF = `0.791896` Chr`20` : `52,807,221`	0.000	0.935	0.064
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.062	0.938	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.054	0.945	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.054	0.945	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.054	0.945	0.000
rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.051	0.948	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.047	0.952	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.037	0.962	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.037	0.963	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.034	0.966	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.032	0.968	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.030	0.969	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.028	0.972	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.028	0.972	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.025	0.975	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.025	0.975	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.024	0.976	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.024	0.976	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.024	0.976	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.021	0.979	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.017	0.983	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.017	0.983	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.016	0.984	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.015	0.985	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.014	0.986	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.013	0.986	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.012	0.987	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.011	0.989	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.010	0.990	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.010	0.990	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.010	0.990	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.009	0.991	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.008	0.991	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.008	0.992	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.005	0.995	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.005	0.995	0.000
rs6097169 lBF = `0.310093` Chr`20` : `51,557,161`	0.005	0.995	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.004	0.995	0.001
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.004	0.996	0.000
rs35829183 lBF = `-0.025036` Chr`20` : `20,044,759`	0.004	0.996	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.004	0.996	0.000
rs6046178 lBF = `8.17463` Chr`20` : `19,533,453`	0.004	0.996	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.004	0.996	0.000
rs1887320 lBF = `10.7614` Chr`20` : `10,965,998`	0.004	0.996	0.000
rs6108038 lBF = `-0.0172308` Chr`20` : `819,662`	0.003	0.996	0.000
rs1327235 lBF = `11.5922` Chr`20` : `10,969,030`	0.003	0.996	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.003	0.996	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.003	0.997	0.000
rs6140038 lBF = `-0.00504891` Chr`20` : `6,582,162`	0.003	0.997	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.003	0.997	0.000
rs6136489 lBF = `-0.0201172` Chr`20` : `1,923,734`	0.003	0.997	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.003	0.997	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.002	0.997	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.002	0.998	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.002	0.998	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.002	0.998	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs13042885 lBF = `-0.025527` Chr`20` : `1,924,707`	0.002	0.998	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.002	0.998	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.001	0.998	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.002	0.998	0.000
rs6054906 lBF = `-0.0242098` Chr`20` : `7,294,903`	0.002	0.998	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.001	0.998	0.001
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.001	0.998	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.001	0.998	0.000
rs6055971 lBF = `15.392` Chr`20` : `8,627,642`	0.000	0.998	0.001
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.001	0.999	0.000
rs6120513 lBF = `6.41611` Chr`20` : `32,675,636`	0.000	0.999	0.001
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.001	0.999	0.000
rs6025590 lBF = `0.258413` Chr`20` : `56,070,505`	0.000	0.999	0.001
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.001	0.999	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.001	0.999	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.001	0.999	0.000
rs35610040 lBF = `-0.0065854` Chr`20` : `23,616,469`	0.000	0.999	0.001
rs1158167 lBF = `-0.00362974` Chr`20` : `23,578,189`	0.001	0.999	0.000
rs6030171 lBF = `0.0876612` Chr`20` : `40,994,094`	0.001	0.999	0.000
rs742731 lBF = `0.140178` Chr`20` : `18,885,738`	0.001	0.999	0.000
rs4815868 lBF = `-0.0577596` Chr`20` : `5,840,539`	0.001	0.999	0.000
rs2072910 lBF = `0.0189078` Chr`20` : `9,365,303`	0.000	0.999	0.001
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.001	0.999	0.001
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.001	0.999	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	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
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.001	0.999	0.000
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.001	0.999	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.001	0.999	0.000
rs911119 lBF = `-0.0082142` Chr`20` : `23,612,737`	0.001	0.999	0.000
rs6040449 lBF = `0.377949` Chr`20` : `11,209,522`	0.000	0.999	0.001
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.001	0.999	0.000
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.001	0.999	0.000
rs115786578 lBF = `0.0351252` Chr`20` : `32,737,601`	0.000	0.999	0.001
rs73584251 lBF = `0.00004246` Chr`20` : `1,401,491`	0.001	0.999	0.000
rs6100794 lBF = `0.00001125` Chr`20` : `58,799,036`	0.001	0.999	0.000
rs115205687 lBF = `0` Chr`20` : `8,895,776`	0.001	0.999	0.001
rs279720 lBF = `0` Chr`20` : `45,124,222`	0.001	0.999	0.001
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
rs11907106 lBF = `-0.00001184` Chr`20` : `12,082,642`	0.001	0.999	0.000
rs13037749 lBF = `-0.054854` Chr`20` : `40,064,559`	0.001	0.999	0.000
rs259991 lBF = `0.139819` Chr`20` : `57,728,348`	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
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
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
rs6024938 lBF = `-0.0814531` Chr`20` : `55,109,304`	0.000	0.999	0.001
rs236114 lBF = `-0.0620348` Chr`20` : `5,935,385`	0.000	0.999	0.001
rs6031882 lBF = `-0.0702694` Chr`20` : `35,809,783`	0.001	0.999	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.001	0.999	0.000
rs13038095 lBF = `-0.0471696` Chr`20` : `46,425,576`	0.001	0.999	0.000
rs4141463 lBF = `-0.101518` Chr`20` : `14,747,471`	0.001	0.999	0.000
rs75691080 lBF = `0.0598647` Chr`20` : `62,269,750`	0.001	0.999	0.000
rs2077147 lBF = `0.0125322` Chr`20` : `17,825,143`	0.000	0.999	0.001
rs2745851 lBF = `-0.0147856` Chr`20` : `17,829,280`	0.000	0.999	0.001
rs6084946 lBF = `-0.0264705` Chr`20` : `549,918`	0.001	0.999	0.000
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.001	0.999	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.001	0.999	0.000
rs8115854 lBF = `-0.021483` Chr`20` : `35,766,337`	0.001	0.999	0.000
rs6039763 lBF = `0.202961` Chr`20` : `10,183,517`	0.001	0.999	0.000
rs6116492 lBF = `0.0562969` Chr`20` : `4,698,626`	0.001	0.999	0.000
rs17124372 lBF = `0.0324534` Chr`20` : `31,798,437`	0.001	0.999	0.000
rs6102185 lBF = `-0.0434923` Chr`20` : `39,478,533`	0.000	0.999	0.001
rs4491792 lBF = `-0.0476587` Chr`20` : `16,740,825`	0.001	0.999	0.000
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rs55970365 lBF = `0.0105177` Chr`20` : `38,725,186`	0.000	0.999	0.000
rs6056209 lBF = `0.00415977` Chr`20` : `8,836,771`	0.000	0.999	0.000
rs4402823 lBF = `-0.00295026` Chr`20` : `47,089,525`	0.000	0.999	0.000
rs6048205 lBF = `-0.0034043` Chr`20` : `22,559,601`	0.000	0.999	0.000
rs4458264 lBF = `-0.0127124` Chr`20` : `47,089,537`	0.000	0.999	0.000
rs4810796 lBF = `-0.015137` Chr`20` : `47,088,200`	0.000	0.999	0.000
rs6071166 lBF = `-0.0188854` Chr`20` : `37,333,012`	0.000	0.999	0.000
rs6027072 lBF = `-0.0222178` Chr`20` : `37,284,070`	0.000	0.999	0.000
rs4925325 lBF = `-0.0265228` Chr`20` : `60,514,224`	0.000	0.999	0.000
rs6042507 lBF = `-0.0271537` Chr`20` : `1,459,060`	0.000	0.999	0.000
rs4809847 lBF = `-0.0275072` Chr`20` : `50,108,320`	0.000	0.999	0.000
rs1884136 lBF = `-0.0594906` Chr`20` : `10,850,464`	0.000	0.999	0.000
rs2073302 lBF = `-0.0633029` Chr`20` : `13,052,671`	0.000	0.999	0.000
rs11696277 lBF = `-0.066727` Chr`20` : `17,264,604`	0.000	0.999	0.000
rs12480534 lBF = `-0.0741929` Chr`20` : `44,761,485`	0.000	0.999	0.000
rs6030712 lBF = `-0.0770843` Chr`20` : `35,637,398`	0.000	0.999	0.000
rs6013382 lBF = `-0.0993429` Chr`20` : `50,702,633`	0.000	0.999	0.000
rs6065777 lBF = `-0.104166` Chr`20` : `43,669,641`	0.000	0.999	0.000
rs6068020 lBF = `-0.113666` Chr`20` : `50,559,652`	0.000	0.999	0.000
rs6022786 lBF = `-0.120712` Chr`20` : `52,447,303`	0.000	0.999	0.000
rs2425003 lBF = `24.2159` Chr`20` : `33,403,584`	0.000	1.000	0.000
rs6060043 lBF = `24.0784` Chr`20` : `33,364,584`	0.000	1.000	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.000	1.000	0.000
rs61341205 lBF = `18.6455` Chr`20` : `33,072,578`	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
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.000	1.000	0.000
rs6137726 lBF = `5.43594` Chr`20` : `22,672,420`	0.000	1.000	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.000	1.000	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.000	1.000	0.000
rs6066825 lBF = `2.9191` Chr`20` : `47,340,117`	0.000	1.000	0.000
rs3746446 lBF = `0.625774` Chr`20` : `33,574,765`	0.000	1.000	0.000
rs73078593 lBF = `0.17331` Chr`20` : `12,291,523`	0.000	1.000	0.000
rs7267722 lBF = `0.10931` Chr`20` : `22,787,622`	0.000	1.000	0.000
rs658495 lBF = `0.0934974` Chr`20` : `3,737,495`	0.000	1.000	0.000
rs6028335 lBF = `0.0749718` Chr`20` : `37,845,477`	0.000	1.000	0.000
rs204664 lBF = `0.0344481` Chr`20` : `532,805`	0.000	1.000	0.000
rs2747539 lBF = `0.0322663` Chr`20` : `32,418,368`	0.000	1.000	0.000
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.000	1.000	0.000
rs55797066 lBF = `-0.00886684` Chr`20` : `50,209,920`	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
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
rs1739654 lBF = `-0.0258588` Chr`20` : `36,977,970`	0.000	1.000	0.000
rs16985452 lBF = `-0.0401319` Chr`20` : `60,265,853`	0.000	1.000	0.000
rs1160312 lBF = `-0.0427852` Chr`20` : `22,050,503`	0.000	1.000	0.000
rs2208059 lBF = `-0.0615234` Chr`20` : `16,311,310`	0.000	1.000	0.000
rs6027755 lBF = `-0.0758682` Chr`20` : `59,268,710`	0.000	1.000	0.000
rs2206405 lBF = `-0.127554` Chr`20` : `7,638,949`	0.000	1.000	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.000	1.000	0.000
rs214785 lBF = `36.4332` Chr`20` : `2,283,457`	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
rs3787220 lBF = `23.8412` Chr`20` : `33,337,751`	0.000	1.000	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.000	1.000	0.000
rs62185668 lBF = `5.73859` Chr`20` : `10,961,935`	0.000	1.000	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.000	1.000	0.000
rs6036176 lBF = `5.30879` Chr`20` : `22,668,305`	0.000	1.000	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs11906160 lBF = `2.57116` Chr`20` : `33,565,755`	0.000	1.000	0.000
rs4812829 lBF = `0.27595` Chr`20` : `42,989,267`	0.000	1.000	0.000
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.000	1.000	0.000
rs6104690 lBF = `0.227572` Chr`20` : `10,988,099`	0.000	1.000	0.000
rs2144940 lBF = `0.095381` Chr`20` : `23,050,806`	0.000	1.000	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.000	1.000	0.000
rs13036722 lBF = `0.0786236` Chr`20` : `168,020`	0.000	1.000	0.000
rs11086243 lBF = `0.0395968` Chr`20` : `46,779,235`	0.000	1.000	0.000
rs6579245 lBF = `0.0252453` Chr`20` : `34,125,271`	0.000	1.000	0.000
rs3761168 lBF = `0.0218755` Chr`20` : `8,865,718`	0.000	1.000	0.000
rs73084982 lBF = `0.0202311` Chr`20` : `3,411,053`	0.000	1.000	0.000
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.000	1.000	0.000
rs4812466 lBF = `0.0103205` Chr`20` : `39,439,483`	0.000	1.000	0.000
rs397020 lBF = `0.00828012` Chr`20` : `1,205,886`	0.000	1.000	0.000
rs11087123 lBF = `0.0066013` Chr`20` : `15,120,744`	0.000	1.000	0.000
rs127430 lBF = `0.00339958` Chr`20` : `57,164,855`	0.000	1.000	0.000
rs6078493 lBF = `0.00202486` Chr`20` : `1,277,099`	0.000	1.000	0.000
rs2073145 lBF = `-0.00195342` Chr`20` : `56,190,634`	0.000	1.000	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.000	1.000	0.000
rs2425752 lBF = `-0.00642696` Chr`20` : `44,702,120`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs11699237 lBF = `-0.0217365` Chr`20` : `55,683,996`	0.000	1.000	0.000
rs910191 lBF = `-0.0284164` Chr`20` : `47,088,732`	0.000	1.000	0.000
rs4812219 lBF = `-0.029306` Chr`20` : `59,422,971`	0.000	1.000	0.000
rs4815617 lBF = `-0.0351888` Chr`20` : `3,827,309`	0.000	1.000	0.000
rs927833 lBF = `-0.0415113` Chr`20` : `22,041,577`	0.000	1.000	0.000
rs6129564 lBF = `-0.0430908` Chr`20` : `38,904,203`	0.000	1.000	0.000
rs6025281 lBF = `-0.0436026` Chr`20` : `55,561,000`	0.000	1.000	0.000
rs6051080 lBF = `-0.0480208` Chr`20` : `25,975,674`	0.000	1.000	0.000
rs761998 lBF = `-0.0494771` Chr`20` : `14,309,952`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs6016348 lBF = `-0.0665469` Chr`20` : `39,038,828`	0.000	1.000	0.000
rs4814615 lBF = `-0.0668948` Chr`20` : `17,357,573`	0.000	1.000	0.000
rs6027506 lBF = `-0.0754539` Chr`20` : `58,896,715`	0.000	1.000	0.000
rs6044112 lBF = `-0.0790804` Chr`20` : `16,536,414`	0.000	1.000	0.000
rs13045180 lBF = `-0.0807356` Chr`20` : `31,531,544`	0.000	1.000	0.000
rs7267979 lBF = `-0.0816562` Chr`20` : `25,298,087`	0.000	1.000	0.000
rs2248359 lBF = `-0.0895987` Chr`20` : `52,791,518`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8688

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8245

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7626

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7490

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.7228

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7017

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6969

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6943

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6893

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6890

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6848

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6843

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6701

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6691

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6641

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6629

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6617

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6616

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6610

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6575

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6555

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6549

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6537

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6525

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6517

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6516

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6509

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6504

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6479

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6475

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6466

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6440

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6436

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6420

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6416

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6367

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6359

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6347

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6335

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6322

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6316

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6315

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6296

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6276

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6256

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6224

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6223

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6222

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6193

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6132

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6095

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6090

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6073

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6062

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6027

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6014

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6013

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5986

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5986

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5975

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5964

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5960

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5949

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5929

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5909

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5904

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5870

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5843

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5834

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5816

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5753

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5751

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5729

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5725

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5698

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5671

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5666

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5665

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5650

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5634

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5633

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5594

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5585

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5580

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5575

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5551

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5541

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5523

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5517

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5482

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5471

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5467

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5442

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5423

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5420

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5415

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5405

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5387

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5359

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5356

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5286

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5263

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5259

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5244

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5237

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5157

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5151

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5140

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5139

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5139

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5137

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5129

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5126

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5086

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5062

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5061

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4915

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4914

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4899

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4801

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4794

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4773

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4734

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4663

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4328

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4194

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4156

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3980

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3940

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3828

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3726

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2825

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2776

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2277

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1986

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1667

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1182

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1119

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1023

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0672

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`)