TreeWAS – [N49.2] Inflammatory disorders of scrotum

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
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.653	0.347	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.595	0.405	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.592	0.408	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.577	0.423	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.576	0.424	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.512	0.487	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.511	0.489	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.489	0.511	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.487	0.512	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.479	0.521	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.476	0.524	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.424	0.575	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.418	0.582	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.412	0.588	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.405	0.595	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.403	0.596	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.377	0.623	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.362	0.638	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.360	0.640	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.652	0.347
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.338	0.662	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.334	0.665	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.325	0.675	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.317	0.683	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.313	0.686	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.310	0.689	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.288	0.712	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.287	0.713	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.283	0.717	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.281	0.718	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.273	0.726	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.265	0.735	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.264	0.736	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.263	0.737	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.249	0.751	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.001	0.754	0.245
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	0.761	0.239
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.794	0.205
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.194	0.806	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.185	0.815	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.169	0.830	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.166	0.833	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.157	0.843	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.156	0.844	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.151	0.849	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.138	0.861	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.133	0.867	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.125	0.875	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.120	0.880	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.117	0.883	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.107	0.890	0.003
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.109	0.891	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.107	0.893	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.906	0.094
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.094	0.906	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.086	0.914	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.078	0.922	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.076	0.924	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.074	0.926	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.074	0.926	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.072	0.928	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.068	0.932	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.065	0.935	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.065	0.935	0.000
rs17216707 lBF = `7.10637` Chr`20` : `52,732,362`	0.000	0.936	0.064
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.937	0.063
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.053	0.947	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.051	0.949	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.049	0.951	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.049	0.951	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.045	0.955	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.044	0.956	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.041	0.958	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.041	0.959	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.040	0.960	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.039	0.961	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.030	0.969	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.030	0.970	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.028	0.972	0.001
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.026	0.974	0.000
rs61341205 lBF = `18.6455` Chr`20` : `33,072,578`	0.026	0.974	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.024	0.975	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.023	0.976	0.001
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.022	0.978	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.022	0.978	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.021	0.979	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.019	0.981	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.018	0.982	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.018	0.982	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.017	0.983	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.015	0.984	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.015	0.984	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.014	0.986	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.014	0.986	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.013	0.987	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.013	0.987	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.013	0.987	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.011	0.988	0.000
rs1892312 lBF = `0.00503269` Chr`20` : `60,004,168`	0.000	0.989	0.011
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.009	0.990	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.009	0.991	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.007	0.992	0.001
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.008	0.992	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.008	0.992	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.007	0.992	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.007	0.993	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.007	0.993	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.006	0.994	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.006	0.994	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.006	0.994	0.000
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.000	0.994	0.006
rs1569723 lBF = `-0.0161558` Chr`20` : `44,742,064`	0.000	0.995	0.005
rs1883832 lBF = `-0.0168904` Chr`20` : `44,746,982`	0.000	0.995	0.005
rs4810485 lBF = `-0.0176317` Chr`20` : `44,747,947`	0.000	0.995	0.005
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.005	0.995	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.005	0.995	0.000
rs4925325 lBF = `-0.0265228` Chr`20` : `60,514,224`	0.000	0.995	0.005
rs4239702 lBF = `0.00330044` Chr`20` : `44,749,251`	0.000	0.995	0.005
rs852069 lBF = `-0.0667541` Chr`20` : `17,122,593`	0.000	0.995	0.005
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.000	0.996	0.004
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.004	0.996	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.996	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.003	0.997	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.001	0.997	0.002
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.003	0.997	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.002	0.997	0.000
rs926392 lBF = `-0.0127618` Chr`20` : `37,690,464`	0.002	0.998	0.000
rs55864139 lBF = `0.0388845` Chr`20` : `40,049,579`	0.002	0.998	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.002	0.998	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.001	0.998	0.002
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.002	0.998	0.000
rs4814615 lBF = `-0.0668948` Chr`20` : `17,357,573`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs7679 lBF = `-0.0584116` Chr`20` : `44,576,502`	0.000	0.998	0.002
rs4465830 lBF = `-0.0581894` Chr`20` : `44,585,420`	0.000	0.998	0.002
rs6073972 lBF = `-0.0601376` Chr`20` : `44,590,298`	0.000	0.998	0.002
rs2281808 lBF = `-0.101116` Chr`20` : `1,610,551`	0.000	0.998	0.002
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.001	0.998	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.001	0.998	0.000
rs12480807 lBF = `-0.072081` Chr`20` : `43,064,654`	0.000	0.998	0.002
rs4911442 lBF = `29.2005` Chr`20` : `33,355,046`	0.002	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.001	0.998	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.002	0.998	0.000
rs6059969 lBF = `27.4928` Chr`20` : `33,245,284`	0.002	0.998	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.001	0.998	0.000
rs6065906 lBF = `-0.0575093` Chr`20` : `44,554,015`	0.000	0.998	0.002
rs6080100 lBF = `-0.113781` Chr`20` : `16,003,406`	0.000	0.998	0.002
rs6073958 lBF = `-0.048734` Chr`20` : `44,551,855`	0.000	0.998	0.001
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.001	0.999	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.001	0.999	0.000
rs6579245 lBF = `0.0252453` Chr`20` : `34,125,271`	0.001	0.999	0.000
rs16999165 lBF = `0.791896` Chr`20` : `52,807,221`	0.001	0.999	0.000
rs59329875 lBF = `-0.050512` Chr`20` : `44,547,672`	0.000	0.999	0.001
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.001	0.999	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.001	0.999	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.001	0.999	0.000
rs6036176 lBF = `5.30879` Chr`20` : `22,668,305`	0.001	0.999	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.001	0.999	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.001	0.999	0.000
rs6129564 lBF = `-0.0430908` Chr`20` : `38,904,203`	0.000	0.999	0.001
rs6024938 lBF = `-0.0814531` Chr`20` : `55,109,304`	0.000	0.999	0.001
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.001	0.999	0.000
rs2064279 lBF = `0.0391112` Chr`20` : `42,094,474`	0.000	0.999	0.001
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.001	0.999	0.000
rs13036344 lBF = `1.14379` Chr`20` : `31,313,737`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs6120974 lBF = `0.142245` Chr`20` : `34,126,827`	0.001	0.999	0.000
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.001	0.999	0.000
rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.001	0.999	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.001	0.999	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.001	0.999	0.000
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.000	0.999	0.001
rs4813003 lBF = `1.02644` Chr`20` : `44,763,284`	0.001	0.999	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.001	0.999	0.000
rs73584251 lBF = `0.00004246` Chr`20` : `1,401,491`	0.001	0.999	0.000
rs6100794 lBF = `0.00001125` Chr`20` : `58,799,036`	0.001	0.999	0.000
rs115205687 lBF = `0` Chr`20` : `8,895,776`	0.001	0.999	0.001
rs279720 lBF = `0` Chr`20` : `45,124,222`	0.001	0.999	0.001
rs147619472 lBF = `0` Chr`20` : `60,890,809`	0.001	0.999	0.001
rs74275091 lBF = `0` Chr`20` : `45,518,433`	0.001	0.999	0.001
rs186485497 lBF = `0` Chr`20` : `57,457,342`	0.001	0.999	0.001
rs190821608 lBF = `0` Chr`20` : `16,280,310`	0.001	0.999	0.001
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
rs3890324 lBF = `-0.00538085` Chr`20` : `41,072,655`	0.000	0.999	0.001
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.001	0.999	0.000
rs6013012 lBF = `6.74262` Chr`20` : `49,391,906`	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
rs2224610 lBF = `-0.00027109` Chr`20` : `9,631,387`	0.001	0.999	0.000
rs2277862 lBF = `0.209698` Chr`20` : `34,152,782`	0.001	0.999	0.000
rs754626 lBF = `0.0157014` Chr`20` : `36,017,340`	0.001	0.999	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.001	0.999	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.001	0.999	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.001	0.999	0.000
rs6060448 lBF = `5.01857` Chr`20` : `34,112,192`	0.001	0.999	0.000
rs147775533 lBF = `-0.00020918` Chr`20` : `48,999,495`	0.001	0.999	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.001	0.999	0.000
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rs6054383 lBF = `0.0620845` Chr`20` : `6,584,604`	0.000	1.000	0.000
rs6035126 lBF = `0.055357` Chr`20` : `1,929,542`	0.000	1.000	0.000
rs1127354 lBF = `0.0132189` Chr`20` : `3,193,842`	0.000	1.000	0.000
rs6026990 lBF = `0.00185688` Chr`20` : `58,177,615`	0.000	1.000	0.000
rs2425752 lBF = `-0.00642696` Chr`20` : `44,702,120`	0.000	1.000	0.000
rs55797066 lBF = `-0.00886684` Chr`20` : `50,209,920`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs17194885 lBF = `-0.0174723` Chr`20` : `36,068,389`	0.000	1.000	0.000
rs8115854 lBF = `-0.021483` Chr`20` : `35,766,337`	0.000	1.000	0.000
rs6057884 lBF = `-0.0329813` Chr`20` : `32,296,681`	0.000	1.000	0.000
rs6047844 lBF = `-0.037577` Chr`20` : `22,037,575`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs78110303 lBF = `35.1732` Chr`20` : `34,025,983`	0.000	1.000	0.000
rs1203951 lBF = `7.57183` Chr`20` : `22,611,301`	0.000	1.000	0.000
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.000	1.000	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.000	1.000	0.000
rs2425163 lBF = `2.5363` Chr`20` : `34,432,670`	0.000	1.000	0.000
rs17190927 lBF = `0.65024` Chr`20` : `13,123,733`	0.000	1.000	0.000
rs16997087 lBF = `0.11076` Chr`20` : `16,054,982`	0.000	1.000	0.000
rs6515773 lBF = `0.0393888` Chr`20` : `3,174,105`	0.000	1.000	0.000
rs76473307 lBF = `0.0104573` Chr`20` : `57,406,068`	0.000	1.000	0.000
rs6081541 lBF = `-0.0206467` Chr`20` : `19,212,890`	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
rs236114 lBF = `-0.0620348` Chr`20` : `5,935,385`	0.000	1.000	0.000
rs1320561 lBF = `-0.0649904` Chr`20` : `23,097,880`	0.000	1.000	0.000
rs6015450 lBF = `12.9686` Chr`20` : `57,751,117`	0.000	1.000	0.000
rs6078000 lBF = `10.313` Chr`20` : `10,977,631`	0.000	1.000	0.000
rs961253 lBF = `2.77027` Chr`20` : `6,404,281`	0.000	1.000	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.000	1.000	0.000
rs6074578 lBF = `0.867493` Chr`20` : `191,797`	0.000	1.000	0.000
rs2180439 lBF = `0.438863` Chr`20` : `21,853,100`	0.000	1.000	0.000
rs73078593 lBF = `0.17331` Chr`20` : `12,291,523`	0.000	1.000	0.000
rs2273359 lBF = `0.125112` Chr`20` : `57,562,102`	0.000	1.000	0.000
rs658495 lBF = `0.0934974` Chr`20` : `3,737,495`	0.000	1.000	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.000	1.000	0.000
rs1741629 lBF = `0.0615061` Chr`20` : `23,898,995`	0.000	1.000	0.000
rs62204504 lBF = `0.0196843` Chr`20` : `42,795,048`	0.000	1.000	0.000
rs11697186 lBF = `-0.00429208` Chr`20` : `3,185,123`	0.000	1.000	0.000
rs35610040 lBF = `-0.0065854` Chr`20` : `23,616,469`	0.000	1.000	0.000
rs4809847 lBF = `-0.0275072` Chr`20` : `50,108,320`	0.000	1.000	0.000
rs4815617 lBF = `-0.0351888` Chr`20` : `3,827,309`	0.000	1.000	0.000
rs4812973 lBF = `-0.0379201` Chr`20` : `44,507,536`	0.000	1.000	0.000
rs13037749 lBF = `-0.054854` Chr`20` : `40,064,559`	0.000	1.000	0.000
rs844917 lBF = `-0.0723708` Chr`20` : `23,141,655`	0.000	1.000	0.000
rs224329 lBF = `36.2774` Chr`20` : `34,019,579`	0.000	1.000	0.000
rs6060373 lBF = `31.6676` Chr`20` : `33,914,208`	0.000	1.000	0.000
rs16982520 lBF = `11.4522` Chr`20` : `57,758,720`	0.000	1.000	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.000	1.000	0.000
rs6137726 lBF = `5.43594` Chr`20` : `22,672,420`	0.000	1.000	0.000
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.000	1.000	0.000
rs2144940 lBF = `0.095381` Chr`20` : `23,050,806`	0.000	1.000	0.000
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.000	1.000	0.000
rs6020157 lBF = `0.0340282` Chr`20` : `48,591,758`	0.000	1.000	0.000
rs3761168 lBF = `0.0218755` Chr`20` : `8,865,718`	0.000	1.000	0.000
rs17721822 lBF = `0.0115807` Chr`20` : `6,469,596`	0.000	1.000	0.000
rs4812466 lBF = `0.0103205` Chr`20` : `39,439,483`	0.000	1.000	0.000
rs6085920 lBF = `-0.00040263` Chr`20` : `7,180,056`	0.000	1.000	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.000	1.000	0.000
rs6110577 lBF = `-0.0322145` Chr`20` : `15,335,754`	0.000	1.000	0.000
rs17723576 lBF = `-0.0475048` Chr`20` : `48,283,633`	0.000	1.000	0.000
rs2073302 lBF = `-0.0633029` Chr`20` : `13,052,671`	0.000	1.000	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.000	1.000	0.000
rs6081690 lBF = `7.01003` Chr`20` : `19,614,751`	0.000	1.000	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.000	1.000	0.000
rs6021275 lBF = `5.50302` Chr`20` : `50,155,124`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.000	1.000	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.000	1.000	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.000	1.000	0.000
rs6097169 lBF = `0.310093` Chr`20` : `51,557,161`	0.000	1.000	0.000
rs6062344 lBF = `0.123965` Chr`20` : `62,696,024`	0.000	1.000	0.000
rs871913 lBF = `0.115156` Chr`20` : `16,144,345`	0.000	1.000	0.000
rs151361 lBF = `0.041818` Chr`20` : `57,614,002`	0.000	1.000	0.000
rs6139030 lBF = `-0.0024395` Chr`20` : `3,187,733`	0.000	1.000	0.000
rs7360412 lBF = `-0.00343882` Chr`20` : `2,800,801`	0.000	1.000	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	0.000	1.000	0.000
rs13038095 lBF = `-0.0471696` Chr`20` : `46,425,576`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs1041536 lBF = `-0.0525695` Chr`20` : `9,888,275`	0.000	1.000	0.000
rs157089 lBF = `-0.0601448` Chr`20` : `56,250,943`	0.000	1.000	0.000
rs6066043 lBF = `-0.0730998` Chr`20` : `45,288,453`	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
rs6036759 lBF = `-0.109938` Chr`20` : `2,491,209`	0.000	1.000	0.000
rs6091737 lBF = `-0.12047` Chr`20` : `52,349,892`	0.000	1.000	0.000
rs224333 lBF = `33.3177` Chr`20` : `34,023,962`	0.000	1.000	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.000	1.000	0.000
rs11696973 lBF = `0.44522` Chr`20` : `54,126,509`	0.000	1.000	0.000
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.000	1.000	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.000	1.000	0.000
rs6137473 lBF = `0.0723357` Chr`20` : `21,884,693`	0.000	1.000	0.000
rs11696845 lBF = `0.0701649` Chr`20` : `43,371,320`	0.000	1.000	0.000
rs6073450 lBF = `0.0682833` Chr`20` : `43,086,648`	0.000	1.000	0.000
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.000	1.000	0.000
rs911119 lBF = `-0.0082142` Chr`20` : `23,612,737`	0.000	1.000	0.000
rs2273061 lBF = `-0.0226879` Chr`20` : `10,639,543`	0.000	1.000	0.000
rs35829183 lBF = `-0.025036` Chr`20` : `20,044,759`	0.000	1.000	0.000
rs6084946 lBF = `-0.0264705` Chr`20` : `549,918`	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 X0289

log Bayes Factor = 60.4564

contains 1 variants

0.5925

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5170

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.3509

Cluster X0202

log Bayes Factor = 106.378

contains 5 variants

0.1397

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0852

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0510

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9781

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9383

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9229

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9082

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9057

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8863

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8239

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8079

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7670

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7571

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7487

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7472

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7321

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7253

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7103

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6887

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6885

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6800

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6799

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6770

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6757

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6665

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6623

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6490

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6486

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6336

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6312

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6306

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6081

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6062

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5863

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5660

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5590

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5540

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5354

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5163

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5140

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5032

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4977

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4974

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4876

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4801

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4752

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4493

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4359

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4304

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4104

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.4085

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4055

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3813

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3785

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3745

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3650

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3633

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3558

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3533

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3479

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3445

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3423

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3318

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3305

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.3208

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2942

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2875

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2692

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2362

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2325

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2289

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.2198

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2160

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2089

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1575

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1456

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1424

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1414

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1334

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1310

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1250

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1224

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1199

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1130

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1055

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1051

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1045

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1040

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0876

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0859

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0747

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0699

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0672

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0631

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0554

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0552

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0545

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0507

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`)