TreeWAS – [C83.3] Large cell (diffuse)

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
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.928	0.072	0.000
rs4813003 lBF = `1.02644` Chr`20` : `44,763,284`	0.909	0.091	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.869	0.131	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.834	0.166	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.738	0.262	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.699	0.301	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.658	0.342	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.654	0.346	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.654	0.346	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.636	0.363	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.631	0.369	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.617	0.383	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.611	0.389	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.605	0.395	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.587	0.413	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.586	0.414	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.585	0.415	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.584	0.416	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.582	0.418	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.579	0.421	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.574	0.426	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.570	0.430	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.542	0.458	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.537	0.463	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.528	0.472	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.515	0.485	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.512	0.488	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.485	0.515	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.467	0.533	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.449	0.551	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.448	0.552	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.426	0.573	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.425	0.575	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.410	0.590	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.401	0.599	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.391	0.609	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.387	0.612	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.362	0.638	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.353	0.647	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.343	0.657	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.340	0.659	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.335	0.665	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.331	0.669	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.330	0.670	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.326	0.674	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.324	0.676	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.323	0.677	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.314	0.686	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.311	0.689	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.298	0.702	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.295	0.704	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.286	0.714	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.278	0.722	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.276	0.724	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.275	0.724	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.265	0.735	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.263	0.737	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.262	0.737	0.000
rs1884302 lBF = `0.171877` Chr`20` : `7,106,289`	0.263	0.737	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.258	0.742	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.257	0.743	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.255	0.745	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.251	0.749	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.237	0.763	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.236	0.763	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.236	0.763	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.236	0.763	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.236	0.764	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.219	0.781	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.782	0.217
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.216	0.784	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.211	0.789	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.204	0.796	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.196	0.804	0.001
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.190	0.810	0.001
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.183	0.816	0.001
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.182	0.818	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.181	0.818	0.001
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.170	0.829	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.167	0.833	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.834	0.166
rs1012621 lBF = `9.74089` Chr`20` : `2,306,312`	0.000	0.836	0.164
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.160	0.840	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.150	0.849	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.146	0.854	0.000
rs1853092 lBF = `13.3769` Chr`20` : `2,304,376`	0.141	0.859	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.137	0.862	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.136	0.864	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.113	0.887	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.109	0.890	0.001
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.892	0.107
rs1407335 lBF = `0.0235436` Chr`20` : `13,222,858`	0.000	0.896	0.104
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.102	0.897	0.001
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.101	0.899	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.098	0.902	0.001
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.092	0.907	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.089	0.911	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.911	0.088
rs6105057 lBF = `0.00519414` Chr`20` : `13,229,326`	0.000	0.913	0.087
rs6062543 lBF = `5.50924` Chr`20` : `62,451,079`	0.000	0.916	0.084
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.078	0.921	0.001
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.078	0.922	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.073	0.927	0.000
rs4239702 lBF = `0.00330044` Chr`20` : `44,749,251`	0.000	0.927	0.073
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.073	0.927	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.058	0.941	0.002
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.056	0.943	0.000
rs214815 lBF = `16.1287` Chr`20` : `2,298,616`	0.053	0.947	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.049	0.951	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.046	0.954	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.042	0.958	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.040	0.958	0.002
rs13043330 lBF = `0.00674976` Chr`20` : `3,756,597`	0.000	0.960	0.040
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.037	0.963	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.035	0.965	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.035	0.965	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.033	0.967	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.032	0.967	0.001
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.032	0.968	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.032	0.968	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.030	0.969	0.000
rs3761168 lBF = `0.0218755` Chr`20` : `8,865,718`	0.028	0.972	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.014	0.973	0.014
rs13036344 lBF = `1.14379` Chr`20` : `31,313,737`	0.000	0.975	0.025
rs55681231 lBF = `-0.0361483` Chr`20` : `58,946,489`	0.025	0.975	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.023	0.976	0.001
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.023	0.977	0.000
rs214803 lBF = `38.436` Chr`20` : `2,290,333`	0.023	0.977	0.000
rs7352944 lBF = `-0.041945` Chr`20` : `48,632,610`	0.023	0.977	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.021	0.978	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.020	0.980	0.000
rs6064045 lBF = `-0.0477969` Chr`20` : `52,701,293`	0.020	0.980	0.000
rs4810485 lBF = `-0.0176317` Chr`20` : `44,747,947`	0.000	0.981	0.019
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.017	0.982	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.017	0.983	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.005	0.983	0.012
rs1883832 lBF = `-0.0168904` Chr`20` : `44,746,982`	0.000	0.984	0.016
rs75691080 lBF = `0.0598647` Chr`20` : `62,269,750`	0.000	0.986	0.014
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.013	0.987	0.000
rs62192643 lBF = `28.1451` Chr`20` : `2,279,955`	0.013	0.987	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.013	0.987	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.010	0.987	0.002
rs2425752 lBF = `-0.00642696` Chr`20` : `44,702,120`	0.000	0.987	0.013
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.012	0.988	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.011	0.989	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.000	0.990	0.010
rs61341205 lBF = `18.6455` Chr`20` : `33,072,578`	0.000	0.990	0.010
rs55797066 lBF = `-0.00886684` Chr`20` : `50,209,920`	0.010	0.990	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.008	0.990	0.001
rs6059969 lBF = `27.4928` Chr`20` : `33,245,284`	0.002	0.991	0.007
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.003	0.991	0.006
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.009	0.991	0.000
rs1569723 lBF = `-0.0161558` Chr`20` : `44,742,064`	0.000	0.991	0.009
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.009	0.991	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.005	0.991	0.004
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.009	0.991	0.000
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.000	0.992	0.008
rs55970365 lBF = `0.0105177` Chr`20` : `38,725,186`	0.008	0.992	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.000	0.992	0.008
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.007	0.993	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.003	0.993	0.004
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.007	0.993	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.007	0.993	0.000
rs3761218 lBF = `-0.00241807` Chr`20` : `3,776,175`	0.000	0.993	0.007
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.000	0.994	0.006
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.006	0.994	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.006	0.994	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.005	0.994	0.001
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.001	0.995	0.004
rs13041126 lBF = `0.0558355` Chr`20` : `51,092,996`	0.000	0.995	0.005
rs6091540 lBF = `0.050287` Chr`20` : `51,087,862`	0.000	0.995	0.005
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.005	0.995	0.000
rs6060043 lBF = `24.0784` Chr`20` : `33,364,584`	0.001	0.995	0.004
rs6056209 lBF = `0.00415977` Chr`20` : `8,836,771`	0.005	0.995	0.000
rs4911414 lBF = `10.0514` Chr`20` : `32,729,444`	0.004	0.995	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.004	0.996	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.003	0.996	0.001
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.004	0.996	0.000
rs6110278 lBF = `-0.0467543` Chr`20` : `14,388,215`	0.000	0.996	0.004
rs2425003 lBF = `24.2159` Chr`20` : `33,403,584`	0.001	0.996	0.003
rs6051520 lBF = `0.402702` Chr`20` : `351,944`	0.000	0.996	0.004
rs6027755 lBF = `-0.0758682` Chr`20` : `59,268,710`	0.000	0.996	0.004
rs3787220 lBF = `23.8412` Chr`20` : `33,337,751`	0.000	0.997	0.003
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.003	0.997	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.003	0.997	0.000
rs59972978 lBF = `0.0623434` Chr`20` : `56,058,355`	0.003	0.997	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs2144940 lBF = `0.095381` Chr`20` : `23,050,806`	0.003	0.997	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.003	0.997	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.003	0.997	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.003	0.997	0.000
rs12480534 lBF = `-0.0741929` Chr`20` : `44,761,485`	0.003	0.997	0.000
rs139672965 lBF = `0.00975118` Chr`20` : `25,266,900`	0.002	0.997	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.003	0.997	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.002	0.997	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.002	0.997	0.000
rs55734731 lBF = `-0.0410288` Chr`20` : `38,572,414`	0.000	0.997	0.002
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.002	0.998	0.000
rs1008953 lBF = `-0.0553544` Chr`20` : `43,980,726`	0.000	0.998	0.002
rs973409 lBF = `10.4088` Chr`20` : `32,536,364`	0.002	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.998	0.000
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rs11697186 lBF = `-0.00429208` Chr`20` : `3,185,123`	0.000	1.000	0.000
rs6127921 lBF = `-0.0319224` Chr`20` : `55,638,750`	0.000	1.000	0.000
rs2235617 lBF = `-0.109036` Chr`20` : `48,554,977`	0.000	1.000	0.000
rs1056198 lBF = `-0.10939` Chr`20` : `48,556,229`	0.000	1.000	0.000
rs6134479 lBF = `-0.111317` Chr`20` : `12,222,165`	0.000	1.000	0.000
rs6137726 lBF = `5.43594` Chr`20` : `22,672,420`	0.000	1.000	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.000	1.000	0.000
rs1406961 lBF = `0.508594` Chr`20` : `61,895,920`	0.000	1.000	0.000
rs11906854 lBF = `0.460921` Chr`20` : `34,383,634`	0.000	1.000	0.000
rs871913 lBF = `0.115156` Chr`20` : `16,144,345`	0.000	1.000	0.000
rs1741629 lBF = `0.0615061` Chr`20` : `23,898,995`	0.000	1.000	0.000
rs16985493 lBF = `0.0534807` Chr`20` : `60,293,563`	0.000	1.000	0.000
rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	1.000	0.000
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.000	1.000	0.000
rs76473307 lBF = `0.0104573` Chr`20` : `57,406,068`	0.000	1.000	0.000
rs4458264 lBF = `-0.0127124` Chr`20` : `47,089,537`	0.000	1.000	0.000
rs6042507 lBF = `-0.0271537` Chr`20` : `1,459,060`	0.000	1.000	0.000
rs4814615 lBF = `-0.0668948` Chr`20` : `17,357,573`	0.000	1.000	0.000
rs2618568 lBF = `-0.0691812` Chr`20` : `17,843,968`	0.000	1.000	0.000
rs6128386 lBF = `-0.0837842` Chr`20` : `57,193,549`	0.000	1.000	0.000
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.000	1.000	0.000
rs7274581 lBF = `0.081653` Chr`20` : `55,018,260`	0.000	1.000	0.000
rs2747539 lBF = `0.0322663` Chr`20` : `32,418,368`	0.000	1.000	0.000
rs4402823 lBF = `-0.00295026` Chr`20` : `47,089,525`	0.000	1.000	0.000
rs6069325 lBF = `-0.0153551` Chr`20` : `54,139,486`	0.000	1.000	0.000
rs6071166 lBF = `-0.0188854` Chr`20` : `37,333,012`	0.000	1.000	0.000
rs428445 lBF = `-0.122222` Chr`20` : `55,036,547`	0.000	1.000	0.000
rs1203951 lBF = `7.57183` Chr`20` : `22,611,301`	0.000	1.000	0.000
rs6021275 lBF = `5.50302` Chr`20` : `50,155,124`	0.000	1.000	0.000
rs6020157 lBF = `0.0340282` Chr`20` : `48,591,758`	0.000	1.000	0.000
rs13038095 lBF = `-0.0471696` Chr`20` : `46,425,576`	0.000	1.000	0.000
rs6063399 lBF = `-0.0628033` Chr`20` : `48,019,818`	0.000	1.000	0.000
rs6513791 lBF = `-0.0699982` Chr`20` : `41,058,122`	0.000	1.000	0.000
rs6012564 lBF = `-0.0731638` Chr`20` : `47,541,600`	0.000	1.000	0.000
rs62185668 lBF = `5.73859` Chr`20` : `10,961,935`	0.000	1.000	0.000
rs6010620 lBF = `0.974268` Chr`20` : `62,309,839`	0.000	1.000	0.000
rs7262634 lBF = `0.0904071` Chr`20` : `45,834,279`	0.000	1.000	0.000
rs4810796 lBF = `-0.015137` Chr`20` : `47,088,200`	0.000	1.000	0.000
rs16985452 lBF = `-0.0401319` Chr`20` : `60,265,853`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs6049839 lBF = `-0.0755009` Chr`20` : `2,518,565`	0.000	1.000	0.000
rs6091737 lBF = `-0.12047` Chr`20` : `52,349,892`	0.000	1.000	0.000
rs6046144 lBF = `21.5897` Chr`20` : `19,477,390`	0.000	1.000	0.000
rs4809219 lBF = `1.14297` Chr`20` : `62,303,115`	0.000	1.000	0.000
rs13036722 lBF = `0.0786236` Chr`20` : `168,020`	0.000	1.000	0.000
rs13037755 lBF = `0.0702108` Chr`20` : `53,411,019`	0.000	1.000	0.000
rs13042473 lBF = `0.0190139` Chr`20` : `41,409,901`	0.000	1.000	0.000
rs35829183 lBF = `-0.025036` Chr`20` : `20,044,759`	0.000	1.000	0.000
rs4815868 lBF = `-0.0577596` Chr`20` : `5,840,539`	0.000	1.000	0.000
rs495337 lBF = `-0.111289` Chr`20` : `48,522,330`	0.000	1.000	0.000
rs6080100 lBF = `-0.113781` Chr`20` : `16,003,406`	0.000	1.000	0.000
rs4814864 lBF = `22.6761` Chr`20` : `19,469,817`	0.000	1.000	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.000	1.000	0.000
rs6074578 lBF = `0.867493` Chr`20` : `191,797`	0.000	1.000	0.000
rs62195918 lBF = `-0.0297742` Chr`20` : `8,275,645`	0.000	1.000	0.000
rs6031882 lBF = `-0.0702694` Chr`20` : `35,809,783`	0.000	1.000	0.000
rs2050652 lBF = `7.02021` Chr`20` : `33,733,180`	0.000	1.000	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	0.000	1.000	0.000
rs1980946 lBF = `-0.00962511` Chr`20` : `48,344,311`	0.000	1.000	0.000
rs4809847 lBF = `-0.0275072` Chr`20` : `50,108,320`	0.000	1.000	0.000
rs238295 lBF = `-0.0365252` Chr`20` : `5,588,449`	0.000	1.000	0.000
rs6138150 lBF = `-0.0787003` Chr`20` : `23,847,009`	0.000	1.000	0.000
rs11696501 lBF = `-0.0889354` Chr`20` : `44,124,523`	0.000	1.000	0.000
rs6120849 lBF = `2.31896` Chr`20` : `33,730,387`	0.000	1.000	0.000
rs6062302 lBF = `1.19347` Chr`20` : `62,320,968`	0.000	1.000	0.000
rs17190927 lBF = `0.65024` Chr`20` : `13,123,733`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs6070116 lBF = `0.366143` Chr`20` : `56,044,184`	0.000	1.000	0.000
rs2070755 lBF = `0.26907` Chr`20` : `56,138,040`	0.000	1.000	0.000
rs6137473 lBF = `0.0723357` Chr`20` : `21,884,693`	0.000	1.000	0.000
rs7270101 lBF = `0.0537043` Chr`20` : `3,193,893`	0.000	1.000	0.000
rs237450 lBF = `0.0453334` Chr`20` : `47,982,128`	0.000	1.000	0.000
rs6108958 lBF = `-0.00167067` Chr`20` : `11,393,882`	0.000	1.000	0.000
rs6108038 lBF = `-0.0172308` Chr`20` : `819,662`	0.000	1.000	0.000
rs2870137 lBF = `-0.0371776` Chr`20` : `38,685,541`	0.000	1.000	0.000
rs6051080 lBF = `-0.0480208` Chr`20` : `25,975,674`	0.000	1.000	0.000
rs59329875 lBF = `-0.050512` Chr`20` : `44,547,672`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs67702392 lBF = `-0.0598091` Chr`20` : `8,878,281`	0.000	1.000	0.000
rs6056891 lBF = `-0.0960935` Chr`20` : `9,778,729`	0.000	1.000	0.000
rs3787159 lBF = `-0.09745` Chr`20` : `56,819,167`	0.000	1.000	0.000
rs28620942 lBF = `-0.110385` Chr`20` : `55,101,317`	0.000	1.000	0.000
rs2743173 lBF = `-0.114989` Chr`20` : `8,245,293`	0.000	1.000	0.000
rs1573706 lBF = `7.31447` Chr`20` : `40,921,149`	0.000	1.000	0.000
rs6127471 lBF = `0.88988` Chr`20` : `36,844,038`	0.000	1.000	0.000
rs3746446 lBF = `0.625774` Chr`20` : `33,574,765`	0.000	1.000	0.000
rs6104690 lBF = `0.227572` Chr`20` : `10,988,099`	0.000	1.000	0.000
rs204664 lBF = `0.0344481` Chr`20` : `532,805`	0.000	1.000	0.000
rs2072910 lBF = `0.0189078` Chr`20` : `9,365,303`	0.000	1.000	0.000
rs1413020 lBF = `-0.0145749` Chr`20` : `12,730,042`	0.000	1.000	0.000
rs11699237 lBF = `-0.0217365` Chr`20` : `55,683,996`	0.000	1.000	0.000
rs927833 lBF = `-0.0415113` Chr`20` : `22,041,577`	0.000	1.000	0.000
rs2424399 lBF = `-0.0708992` Chr`20` : `21,632,545`	0.000	1.000	0.000
rs6075982 lBF = `-0.0773795` Chr`20` : `22,887,257`	0.000	1.000	0.000
rs6097169 lBF = `0.310093` Chr`20` : `51,557,161`	0.000	1.000	0.000
rs4812829 lBF = `0.27595` Chr`20` : `42,989,267`	0.000	1.000	0.000
rs151361 lBF = `0.041818` Chr`20` : `57,614,002`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs6078493 lBF = `0.00202486` Chr`20` : `1,277,099`	0.000	1.000	0.000
rs362987 lBF = `-0.0019999` Chr`20` : `10,277,452`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.1069

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9984

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9980

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9976

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9972

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9914

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9910

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9882

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9854

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9819

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9794

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9778

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9688

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9439

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9395

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9359

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9349

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9216

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9066

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9037

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8818

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8789

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.8752

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8647

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8641

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8616

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8526

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8459

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8403

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8389

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8346

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8337

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8128

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8054

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.7965

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7888

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7849

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7765

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7603

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7390

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7367

Cluster X0272

log Bayes Factor = 22.1927

contains 2 variants

0.7307

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7256

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7066

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6896

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6871

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6853

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6817

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6717

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6639

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6608

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6426

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6188

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6100

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6087

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6084

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6063

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6013

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5961

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5680

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5585

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5519

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5300

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5157

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5151

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5050

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4947

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4873

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4819

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4807

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4793

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4718

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4569

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4520

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4449

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4318

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4274

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4213

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4134

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4041

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3972

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3966

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3794

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3730

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3662

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3649

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3554

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3358

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3147

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2979

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2949

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2775

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2771

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2530

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2515

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2467

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2417

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2374

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2354

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2350

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2327

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2310

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2242

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2212

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2109

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2070

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2065

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2038

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2029

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2001

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1997

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1919

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.1871

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1848

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1786

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1723

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1684

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1659

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1545

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.1481

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1293

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1274

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1266

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1183

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1178

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1158

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1145

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1135

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1095

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1076

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1053

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1019

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1014

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0922

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0921

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0884

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0817

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0791

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0790

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0787

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0664

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0620

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0576

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0553

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0552

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0547

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0502

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`)