TreeWAS – [K13.0] Diseases of lips

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`	0.682	0.318	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.657	0.342	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.652	0.348	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.612	0.388	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.601	0.399	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.582	0.418	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.573	0.427	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.567	0.433	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.563	0.437	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.537	0.463	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.466	0.534	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.463	0.537	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.456	0.544	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.423	0.577	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.410	0.590	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.392	0.608	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.376	0.624	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.371	0.629	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.366	0.634	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.365	0.635	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.358	0.642	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.350	0.650	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.346	0.654	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.331	0.669	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.319	0.680	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.311	0.688	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.304	0.696	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.298	0.702	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.291	0.709	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.282	0.718	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.273	0.727	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.269	0.731	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.258	0.741	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.254	0.746	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.218	0.782	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.204	0.796	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.183	0.817	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.174	0.825	0.001
rs1074683 lBF = `2.4111` Chr`20` : `32,304,653`	0.171	0.829	0.000
rs1535067 lBF = `14.7922` Chr`20` : `8,607,333`	0.000	0.830	0.170
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.165	0.835	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.155	0.844	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.151	0.848	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.137	0.863	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.130	0.870	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.121	0.878	0.001
rs6077414 lBF = `0.594491` Chr`20` : `8,704,552`	0.119	0.880	0.000
rs7274811 lBF = `2.64338` Chr`20` : `32,333,181`	0.118	0.882	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.884	0.116
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.101	0.898	0.001
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.101	0.899	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.099	0.901	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.098	0.902	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.089	0.911	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.080	0.919	0.001
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.080	0.920	0.000
rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.079	0.921	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.078	0.922	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.076	0.924	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.071	0.928	0.001
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.071	0.929	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.061	0.939	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.060	0.940	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.060	0.940	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.059	0.941	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.057	0.943	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.054	0.945	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.053	0.947	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.052	0.947	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.001	0.950	0.049
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.044	0.955	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.040	0.960	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.037	0.963	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.035	0.965	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.030	0.970	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.029	0.971	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.028	0.972	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.024	0.975	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.022	0.978	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.022	0.978	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.021	0.979	0.000
rs4911442 lBF = `29.2005` Chr`20` : `33,355,046`	0.020	0.980	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.018	0.981	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.018	0.982	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.017	0.982	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.017	0.983	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.017	0.983	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.017	0.983	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.017	0.983	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.016	0.984	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
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.013	0.986	0.000
rs16999165 lBF = `0.791896` Chr`20` : `52,807,221`	0.001	0.987	0.012
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.012	0.987	0.001
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.012	0.988	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.011	0.988	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.010	0.990	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.010	0.990	0.000
rs214830 lBF = `6.04206` Chr`20` : `2,321,105`	0.009	0.991	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	0.992	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.007	0.993	0.000
rs6046393 lBF = `-0.0190458` Chr`20` : `19,852,250`	0.007	0.993	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.007	0.993	0.000
rs6104691 lBF = `0.186417` Chr`20` : `10,996,911`	0.000	0.993	0.007
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.000	0.993	0.007
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.006	0.994	0.000
rs200639 lBF = `-0.08549` Chr`20` : `51,906,277`	0.000	0.994	0.006
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.005	0.994	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
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.005	0.995	0.000
rs6088316 lBF = `17.437` Chr`20` : `32,426,842`	0.005	0.995	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.004	0.996	0.001
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.003	0.996	0.001
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.004	0.996	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.004	0.996	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.004	0.996	0.000
rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	0.997	0.003
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs35829183 lBF = `-0.025036` Chr`20` : `20,044,759`	0.003	0.997	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.003	0.997	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.003	0.997	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.003	0.997	0.000
rs502716 lBF = `-0.098731` Chr`20` : `926,397`	0.003	0.997	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.003	0.997	0.000
rs7267348 lBF = `-0.0205561` Chr`20` : `48,131,036`	0.003	0.997	0.000
rs6140038 lBF = `-0.00504891` Chr`20` : `6,582,162`	0.002	0.997	0.001
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.003	0.997	0.000
rs1041536 lBF = `-0.0525695` Chr`20` : `9,888,275`	0.003	0.997	0.000
rs13038095 lBF = `-0.0471696` Chr`20` : `46,425,576`	0.003	0.997	0.000
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.000	0.997	0.003
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.002	0.998	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.002	0.998	0.001
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.002	0.998	0.000
rs6055971 lBF = `15.392` Chr`20` : `8,627,642`	0.000	0.998	0.002
rs816535 lBF = `0.0536421` Chr`20` : `26,255,996`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.000	0.998	0.002
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.000	0.998	0.002
rs6054906 lBF = `-0.0242098` Chr`20` : `7,294,903`	0.002	0.998	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.002	0.998	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs11906160 lBF = `2.57116` Chr`20` : `33,565,755`	0.000	0.998	0.002
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	0.998	0.002
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.002	0.998	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.002	0.998	0.000
rs3787220 lBF = `23.8412` Chr`20` : `33,337,751`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.001	0.998	0.000
rs1223271 lBF = `-0.0492351` Chr`20` : `13,296,912`	0.000	0.998	0.002
rs6138150 lBF = `-0.0787003` Chr`20` : `23,847,009`	0.002	0.998	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.002	0.998	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.001	0.998	0.000
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.000	0.998	0.002
rs55681231 lBF = `-0.0361483` Chr`20` : `58,946,489`	0.002	0.998	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.002	0.998	0.000
rs6108038 lBF = `-0.0172308` Chr`20` : `819,662`	0.001	0.998	0.001
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.002	0.998	0.000
rs6060043 lBF = `24.0784` Chr`20` : `33,364,584`	0.002	0.998	0.000
rs73078593 lBF = `0.17331` Chr`20` : `12,291,523`	0.001	0.999	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs7262634 lBF = `0.0904071` Chr`20` : `45,834,279`	0.001	0.999	0.000
rs34972666 lBF = `-0.0212135` Chr`20` : `2,384,972`	0.000	0.999	0.001
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.001	0.999	0.001
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.001	0.999	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.001	0.999	0.000
rs6094710 lBF = `-0.0148637` Chr`20` : `46,095,649`	0.001	0.999	0.000
rs2235808 lBF = `-0.0858124` Chr`20` : `42,815,795`	0.000	0.999	0.001
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.000	0.999	0.001
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.001	0.999	0.000
rs115786578 lBF = `0.0351252` Chr`20` : `32,737,601`	0.000	0.999	0.001
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.001	0.999	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.001	0.999	0.000
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.001	0.999	0.000
rs2425003 lBF = `24.2159` Chr`20` : `33,403,584`	0.001	0.999	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.001	0.999	0.001
rs6116492 lBF = `0.0562969` Chr`20` : `4,698,626`	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
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.000	0.999	0.001
rs6020157 lBF = `0.0340282` Chr`20` : `48,591,758`	0.000	0.999	0.001
rs6099847 lBF = `0.00673668` Chr`20` : `56,501,979`	0.000	0.999	0.001
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs7267421 lBF = `0.0625389` Chr`20` : `15,227,636`	0.000	0.999	0.001
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.001	0.999	0.000
rs62185668 lBF = `5.73859` Chr`20` : `10,961,935`	0.000	0.999	0.001
rs7270101 lBF = `0.0537043` Chr`20` : `3,193,893`	0.001	0.999	0.000
rs6041428 lBF = `0.015758` Chr`20` : `12,506,345`	0.001	0.999	0.000
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs6059969 lBF = `27.4928` Chr`20` : `33,245,284`	0.001	0.999	0.000
rs6092354 lBF = `1.46723` Chr`20` : `55,294,474`	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
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
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
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rs2423294 lBF = `0.610162` Chr`20` : `7,819,768`	0.000	1.000	0.000
rs11906854 lBF = `0.460921` Chr`20` : `34,383,634`	0.000	1.000	0.000
rs6085533 lBF = `0.102245` Chr`20` : `6,375,460`	0.000	1.000	0.000
rs12625057 lBF = `0.012655` Chr`20` : `57,790,436`	0.000	1.000	0.000
rs6017291 lBF = `0.00463084` Chr`20` : `42,854,134`	0.000	1.000	0.000
rs1413020 lBF = `-0.0145749` Chr`20` : `12,730,042`	0.000	1.000	0.000
rs16985615 lBF = `-0.0301459` Chr`20` : `23,642,427`	0.000	1.000	0.000
rs4811196 lBF = `-0.0461361` Chr`20` : `36,469,694`	0.000	1.000	0.000
rs10485813 lBF = `-0.0491565` Chr`20` : `51,583,983`	0.000	1.000	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.000	1.000	0.000
rs11907546 lBF = `9.88038` Chr`20` : `32,719,797`	0.000	1.000	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.000	1.000	0.000
rs4468878 lBF = `0.32969` Chr`20` : `59,928,237`	0.000	1.000	0.000
rs6087990 lBF = `0.275541` Chr`20` : `31,349,908`	0.000	1.000	0.000
rs3761168 lBF = `0.0218755` Chr`20` : `8,865,718`	0.000	1.000	0.000
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.000	1.000	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.000	1.000	0.000
rs3890324 lBF = `-0.00538085` Chr`20` : `41,072,655`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs6050267 lBF = `-0.0211359` Chr`20` : `25,019,099`	0.000	1.000	0.000
rs6045676 lBF = `-0.0278278` Chr`20` : `1,941,171`	0.000	1.000	0.000
rs1293386 lBF = `-0.035461` Chr`20` : `51,797,353`	0.000	1.000	0.000
rs913678 lBF = `-0.0425097` Chr`20` : `48,955,424`	0.000	1.000	0.000
rs6065094 lBF = `-0.0708019` Chr`20` : `37,453,194`	0.000	1.000	0.000
rs236720 lBF = `14.4396` Chr`20` : `57,702,611`	0.000	1.000	0.000
rs1573706 lBF = `7.31447` Chr`20` : `40,921,149`	0.000	1.000	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.000	1.000	0.000
rs6010620 lBF = `0.974268` Chr`20` : `62,309,839`	0.000	1.000	0.000
rs6058869 lBF = `0.700504` Chr`20` : `31,348,750`	0.000	1.000	0.000
rs716316 lBF = `0.096738` Chr`20` : `14,908,741`	0.000	1.000	0.000
rs6060960 lBF = `0.0766605` Chr`20` : `30,394,517`	0.000	1.000	0.000
rs6028335 lBF = `0.0749718` Chr`20` : `37,845,477`	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
rs1567865 lBF = `0.0094387` Chr`20` : `47,881,967`	0.000	1.000	0.000
rs1980946 lBF = `-0.00962511` Chr`20` : `48,344,311`	0.000	1.000	0.000
rs11699237 lBF = `-0.0217365` Chr`20` : `55,683,996`	0.000	1.000	0.000
rs6013355 lBF = `-0.0379993` Chr`20` : `50,637,660`	0.000	1.000	0.000
rs16985452 lBF = `-0.0401319` Chr`20` : `60,265,853`	0.000	1.000	0.000
rs4491792 lBF = `-0.0476587` Chr`20` : `16,740,825`	0.000	1.000	0.000
rs2328223 lBF = `-0.0662184` Chr`20` : `17,845,921`	0.000	1.000	0.000
rs17725255 lBF = `-0.071588` Chr`20` : `18,079,131`	0.000	1.000	0.000
rs259964 lBF = `-0.0773551` Chr`20` : `57,824,309`	0.000	1.000	0.000
rs6028945 lBF = `-0.0776588` Chr`20` : `38,820,805`	0.000	1.000	0.000
rs6076960 lBF = `-0.0828422` Chr`20` : `6,186,157`	0.000	1.000	0.000
rs2281808 lBF = `-0.101116` Chr`20` : `1,610,551`	0.000	1.000	0.000
rs2425224 lBF = `13.1546` Chr`20` : `35,002,849`	0.000	1.000	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs6135309 lBF = `0.292984` Chr`20` : `14,902,522`	0.000	1.000	0.000
rs2277862 lBF = `0.209698` Chr`20` : `34,152,782`	0.000	1.000	0.000
rs6060821 lBF = `0.0845104` Chr`20` : `30,294,034`	0.000	1.000	0.000
rs151361 lBF = `0.041818` Chr`20` : `57,614,002`	0.000	1.000	0.000
rs6108011 lBF = `0.0351163` Chr`20` : `7,552,504`	0.000	1.000	0.000
rs6085920 lBF = `-0.00040263` Chr`20` : `7,180,056`	0.000	1.000	0.000
rs6042507 lBF = `-0.0271537` Chr`20` : `1,459,060`	0.000	1.000	0.000
rs6110577 lBF = `-0.0322145` Chr`20` : `15,335,754`	0.000	1.000	0.000
rs3790268 lBF = `-0.0426481` Chr`20` : `19,571,581`	0.000	1.000	0.000
rs6084875 lBF = `-0.0504959` Chr`20` : `4,742,705`	0.000	1.000	0.000
rs13037749 lBF = `-0.054854` Chr`20` : `40,064,559`	0.000	1.000	0.000
rs6030712 lBF = `-0.0770843` Chr`20` : `35,637,398`	0.000	1.000	0.000
rs6065945 lBF = `-0.0812995` Chr`20` : `44,921,631`	0.000	1.000	0.000
rs2024714 lBF = `-0.097588` Chr`20` : `60,212,494`	0.000	1.000	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.000	1.000	0.000
rs2300206 lBF = `9.62073` Chr`20` : `32,589,808`	0.000	1.000	0.000
rs6046178 lBF = `8.17463` Chr`20` : `19,533,453`	0.000	1.000	0.000
rs2236164 lBF = `7.01229` Chr`20` : `34,097,353`	0.000	1.000	0.000
rs2424234 lBF = `0.206305` Chr`20` : `19,363,979`	0.000	1.000	0.000
rs6066084 lBF = `0.0958774` Chr`20` : `45,460,323`	0.000	1.000	0.000
rs204664 lBF = `0.0344481` Chr`20` : `532,805`	0.000	1.000	0.000
rs8115854 lBF = `-0.021483` Chr`20` : `35,766,337`	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
rs6127921 lBF = `-0.0319224` Chr`20` : `55,638,750`	0.000	1.000	0.000
rs13040824 lBF = `-0.054021` Chr`20` : `2,225,869`	0.000	1.000	0.000
rs236114 lBF = `-0.0620348` Chr`20` : `5,935,385`	0.000	1.000	0.000
rs6075982 lBF = `-0.0773795` Chr`20` : `22,887,257`	0.000	1.000	0.000
rs6080100 lBF = `-0.113781` Chr`20` : `16,003,406`	0.000	1.000	0.000
rs6075524 lBF = `19.2434` Chr`20` : `19,509,918`	0.000	1.000	0.000
rs214815 lBF = `16.1287` Chr`20` : `2,298,616`	0.000	1.000	0.000
rs2284378 lBF = `10.2093` Chr`20` : `32,588,095`	0.000	1.000	0.000
rs4911414 lBF = `10.0514` Chr`20` : `32,729,444`	0.000	1.000	0.000
rs1012621 lBF = `9.74089` Chr`20` : `2,306,312`	0.000	1.000	0.000
rs2284386 lBF = `8.87868` Chr`20` : `32,644,396`	0.000	1.000	0.000
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.000	1.000	0.000
rs4809219 lBF = `1.14297` Chr`20` : `62,303,115`	0.000	1.000	0.000
rs6017235 lBF = `0.915693` Chr`20` : `42,620,592`	0.000	1.000	0.000
rs11696973 lBF = `0.44522` Chr`20` : `54,126,509`	0.000	1.000	0.000
rs6051520 lBF = `0.402702` Chr`20` : `351,944`	0.000	1.000	0.000
rs6044777 lBF = `0.331462` Chr`20` : `17,368,542`	0.000	1.000	0.000
rs13042473 lBF = `0.0190139` Chr`20` : `41,409,901`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs228836 lBF = `0.0156662` Chr`20` : `50,065,648`	0.000	1.000	0.000
rs237743 lBF = `0.0156062` Chr`20` : `47,903,019`	0.000	1.000	0.000
rs297755 lBF = `0.0130089` Chr`20` : `4,501,875`	0.000	1.000	0.000
rs11087123 lBF = `0.0066013` Chr`20` : `15,120,744`	0.000	1.000	0.000
rs6069325 lBF = `-0.0153551` Chr`20` : `54,139,486`	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 X0046

log Bayes Factor = 387.972

contains 16 variants

0.9895

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9799

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9250

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9079

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8220

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7905

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7818

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7356

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7250

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5470

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5416

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5393

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5390

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5288

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5052

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4914

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4520

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4506

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4205

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4064

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4049

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3933

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3903

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3403

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3073

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2983

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2773

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2470

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2231

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2219

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2217

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2210

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2210

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2192

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2143

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2136

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2071

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1906

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1672

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1431

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1421

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1165

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1160

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1125

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1092

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1042

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0938

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0937

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0931

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0908

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0865

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0813

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0794

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0768

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0762

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0746

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0702

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0701

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0662

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0656

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.0645

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0600

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0505

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0501

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`)