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
rs1058205 lBF = `13.3893` Chr`19` : `51,363,398`	0.563	0.437	0.000
rs2659124 lBF = `9.44249` Chr`19` : `51,354,597`	0.560	0.440	0.000
rs17632542 lBF = `23.0514` Chr`19` : `51,361,757`	0.000	0.476	0.524
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.507	0.493	0.000
rs62113212 lBF = `22.7373` Chr`19` : `51,360,840`	0.000	0.507	0.493
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.486	0.514	0.000
rs2735839 lBF = `18.4411` Chr`19` : `51,364,623`	0.000	0.519	0.480
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.476	0.523	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.464	0.536	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.461	0.538	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.436	0.564	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.436	0.564	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.390	0.610	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.326	0.674	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.309	0.690	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.270	0.730	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.266	0.734	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.264	0.736	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.263	0.736	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.225	0.775	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.223	0.777	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.222	0.777	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.217	0.783	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.211	0.789	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.188	0.812	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.187	0.813	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.174	0.825	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.173	0.827	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.171	0.829	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.162	0.838	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.159	0.841	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.155	0.844	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.153	0.847	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.151	0.848	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.140	0.859	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.140	0.860	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.133	0.867	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.125	0.875	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.092	0.908	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.091	0.908	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.090	0.910	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.083	0.916	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.081	0.919	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.073	0.926	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.001	0.928	0.072
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.068	0.931	0.001
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.066	0.934	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.062	0.937	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.061	0.939	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.053	0.947	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.053	0.947	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.052	0.948	0.000
rs10424878 lBF = `2.01027` Chr`19` : `51,374,967`	0.051	0.949	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.050	0.950	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.049	0.951	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.042	0.957	0.001
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.042	0.958	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.039	0.961	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.033	0.967	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.032	0.967	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.032	0.968	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.032	0.968	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.031	0.968	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.029	0.970	0.001
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.021	0.979	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.019	0.981	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.018	0.982	0.000
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.017	0.983	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.014	0.986	0.000
rs2659051 lBF = `4.31235` Chr`19` : `51,345,568`	0.012	0.988	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.011	0.988	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.011	0.989	0.000
rs76478271 lBF = `-0.00813885` Chr`19` : `41,325,199`	0.010	0.990	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.010	0.990	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.010	0.990	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.010	0.990	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.010	0.990	0.000
rs266849 lBF = `2.0123` Chr`19` : `51,349,090`	0.010	0.990	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.009	0.991	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.008	0.992	0.000
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.000	0.992	0.007
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.007	0.992	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.007	0.993	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.007	0.993	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.006	0.994	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.005	0.995	0.000
rs12608504 lBF = `1.27024` Chr`19` : `18,389,135`	0.000	0.995	0.005
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.005	0.995	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.005	0.995	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.005	0.995	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.004	0.995	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.004	0.995	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.002	0.996	0.002
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.004	0.996	0.000
rs439401 lBF = `14.9023` Chr`19` : `45,414,451`	0.004	0.996	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.003	0.997	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.003	0.997	0.000
rs879564 lBF = `-0.0941102` Chr`19` : `4,768,917`	0.000	0.997	0.003
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.003	0.997	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.003	0.997	0.000
rs433852 lBF = `0.473792` Chr`19` : `49,117,104`	0.000	0.997	0.003
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.003	0.997	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.002	0.997	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.002	0.998	0.000
rs7595 lBF = `-0.0898956` Chr`19` : `54,697,079`	0.002	0.998	0.000
rs144790747 lBF = `0.0347014` Chr`19` : `14,487,347`	0.000	0.998	0.002
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.002	0.998	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.001	0.998	0.001
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.002	0.998	0.000
rs7255436 lBF = `-0.00789168` Chr`19` : `8,433,196`	0.000	0.998	0.002
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.002	0.998	0.000
rs11878604 lBF = `-0.0230731` Chr`19` : `41,333,284`	0.000	0.998	0.002
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.002	0.998	0.000
rs16964543 lBF = `0.0583383` Chr`19` : `31,185,210`	0.000	0.998	0.002
rs7250872 lBF = `-0.0733468` Chr`19` : `1,811,603`	0.000	0.998	0.002
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.998	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.001	0.998	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.001	0.998	0.000
rs6859 lBF = `25.5207` Chr`19` : `45,382,034`	0.001	0.999	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.001	0.999	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.001	0.999	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.001	0.999	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.001	0.999	0.000
rs13345456 lBF = `5.05336` Chr`19` : `41,806,918`	0.000	0.999	0.001
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.001	0.999	0.000
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs2306969 lBF = `-0.00598812` Chr`19` : `5,851,801`	0.001	0.999	0.000
rs7937 lBF = `0.114849` Chr`19` : `41,302,706`	0.001	0.999	0.000
rs103294 lBF = `-0.00760096` Chr`19` : `54,797,848`	0.000	0.999	0.001
rs34536443 lBF = `10.435` Chr`19` : `10,463,118`	0.001	0.999	0.000
rs8102476 lBF = `13.155` Chr`19` : `38,735,613`	0.001	0.999	0.000
rs8109627 lBF = `7.31922` Chr`19` : `41,822,986`	0.000	0.999	0.001
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs746961 lBF = `-0.0666257` Chr`19` : `31,099,890`	0.000	0.999	0.001
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs270776 lBF = `-0.0753872` Chr`19` : `55,222,807`	0.000	0.999	0.001
rs644148 lBF = `-0.0431377` Chr`19` : `44,970,935`	0.001	0.999	0.000
rs76137255 lBF = `0.0428155` Chr`19` : `40,783,832`	0.001	0.999	0.000
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs8111874 lBF = `3.68917` Chr`19` : `49,168,942`	0.001	0.999	0.000
rs12462111 lBF = `4.03411` Chr`19` : `49,171,306`	0.001	0.999	0.000
rs12721054 lBF = `0.00020901` Chr`19` : `45,422,587`	0.001	0.999	0.000
rs7254892 lBF = `30.0759` Chr`19` : `45,389,596`	0.001	0.999	0.000
rs28399637 lBF = `12.56` Chr`19` : `45,324,138`	0.000	0.999	0.001
rs151060619 lBF = `0.00020631` Chr`19` : `47,213,311`	0.001	0.999	0.000
rs139399000 lBF = `0.00009949` Chr`19` : `47,204,441`	0.001	0.999	0.000
rs147565295 lBF = `0.00009949` Chr`19` : `47,195,255`	0.001	0.999	0.000
rs75185364 lBF = `0.00009949` Chr`19` : `47,192,941`	0.001	0.999	0.000
rs138814219 lBF = `0.00009949` Chr`19` : `47,196,646`	0.001	0.999	0.000
rs114855972 lBF = `0.00009949` Chr`19` : `47,194,886`	0.001	0.999	0.000
rs1047781 lBF = `0.00008525` Chr`19` : `49,206,631`	0.001	0.999	0.000
rs115824942 lBF = `0.00008384` Chr`19` : `47,208,382`	0.001	0.999	0.000
rs10415749 lBF = `-0.00000079` Chr`19` : `11,652,720`	0.001	0.999	0.000
rs76617915 lBF = `0` Chr`19` : `41,538,078`	0.001	0.999	0.001
rs144556038 lBF = `0` Chr`19` : `53,085,847`	0.001	0.999	0.001
rs58632700 lBF = `0` Chr`19` : `58,992,001`	0.001	0.999	0.001
rs111563375 lBF = `0` Chr`19` : `5,908,762`	0.001	0.999	0.001
rs147615524 lBF = `0` Chr`19` : `1,205,889`	0.001	0.999	0.001
rs117403524 lBF = `0` Chr`19` : `20,635,291`	0.001	0.999	0.001
rs142080098 lBF = `0` Chr`19` : `7,796,550`	0.001	0.999	0.001
rs142119409 lBF = `0` Chr`19` : `16,116,431`	0.001	0.999	0.001
rs184381023 lBF = `0` Chr`19` : `41,947,225`	0.001	0.999	0.001
rs10408126 lBF = `0` Chr`19` : `13,245,968`	0.001	0.999	0.001
rs189265675 lBF = `0` Chr`19` : `5,907,423`	0.001	0.999	0.001
rs17249141 lBF = `-0.00002178` Chr`19` : `11,200,008`	0.001	0.999	0.000
rs3745618 lBF = `-0.00006132` Chr`19` : `47,575,716`	0.001	0.999	0.000
rs2965169 lBF = `5.30117` Chr`19` : `45,251,156`	0.001	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs254262 lBF = `-0.0418109` Chr`19` : `54,612,628`	0.001	0.999	0.000
rs4803480 lBF = `-0.0591784` Chr`19` : `42,066,279`	0.001	0.999	0.000
rs7253430 lBF = `-0.101165` Chr`19` : `1,803,582`	0.000	0.999	0.001
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.000	0.999	0.001
rs1701930 lBF = `0.0818071` Chr`19` : `51,419,546`	0.001	0.999	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.001	0.999	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.001	0.999	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.001	0.999	0.000
rs7258177 lBF = `0.0641128` Chr`19` : `13,803,170`	0.000	0.999	0.001
rs2017387 lBF = `-0.0361363` Chr`19` : `50,568,573`	0.001	0.999	0.000
rs16979306 lBF = `0.0734202` Chr`19` : `13,802,760`	0.000	0.999	0.001
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.000	0.999	0.000
rs34328549 lBF = `11.7329` Chr`19` : `7,253,184`	0.001	0.999	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.001	0.999	0.000
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	0.999	0.001
rs1126757 lBF = `0.286379` Chr`19` : `55,879,872`	0.001	0.999	0.000
rs3810265 lBF = `-0.0001881` Chr`19` : `50,223,266`	0.000	0.999	0.000
rs8105429 lBF = `0.113411` Chr`19` : `18,481,333`	0.000	0.999	0.001
rs11667918 lBF = `-0.000318` Chr`19` : `17,232,499`	0.000	0.999	0.001
rs17726276 lBF = `-0.036061` Chr`19` : `41,291,119`	0.001	0.999	0.000
rs1172822 lBF = `-0.061255` Chr`19` : `55,819,845`	0.001	0.999	0.000
rs34645805 lBF = `5.04291` Chr`19` : `11,247,522`	0.000	0.999	0.001
rs8101881 lBF = `-0.08863` Chr`19` : `33,364,628`	0.000	0.999	0.001
rs1160985 lBF = `12.3497` Chr`19` : `45,403,412`	0.000	0.999	0.001
rs7253363 lBF = `-0.00743829` Chr`19` : `11,682,495`	0.000	0.999	0.001
rs157580 lBF = `46.2551` Chr`19` : `45,395,266`	0.001	0.999	0.000
rs11672691 lBF = `0.195642` Chr`19` : `41,985,587`	0.001	0.999	0.000
rs11666497 lBF = `-0.0254914` Chr`19` : `38,464,262`	0.000	0.999	0.001
rs12973666 lBF = `-0.0358025` Chr`19` : `41,289,397`	0.001	0.999	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.000	0.999	0.001
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.000	0.999	0.001
rs7250689 lBF = `14.0789` Chr`19` : `38,753,625`	0.000	0.999	0.001
rs73931391 lBF = `0.0470993` Chr`19` : `41,407,874`	0.000	0.999	0.000
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rs4079366 lBF = `1.00129` Chr`19` : `41,384,675`	0.000	1.000	0.000
rs17356664 lBF = `0.684789` Chr`19` : `45,740,771`	0.000	1.000	0.000
rs73510898 lBF = `0.622392` Chr`19` : `10,416,444`	0.000	1.000	0.000
rs2005199 lBF = `0.14949` Chr`19` : `52,033,206`	0.000	1.000	0.000
rs4807927 lBF = `0.108342` Chr`19` : `1,423,199`	0.000	1.000	0.000
rs11671653 lBF = `0.0656012` Chr`19` : `10,838,486`	0.000	1.000	0.000
rs2043599 lBF = `0.0545247` Chr`19` : `56,451,049`	0.000	1.000	0.000
rs73058052 lBF = `0.0309746` Chr`19` : `50,099,422`	0.000	1.000	0.000
rs12327666 lBF = `0.0224187` Chr`19` : `14,139,921`	0.000	1.000	0.000
rs931608 lBF = `0.00097034` Chr`19` : `22,614,122`	0.000	1.000	0.000
rs7249094 lBF = `-0.00980267` Chr`19` : `8,672,000`	0.000	1.000	0.000
rs3760776 lBF = `-0.0155715` Chr`19` : `5,839,746`	0.000	1.000	0.000
rs4806846 lBF = `-0.0182096` Chr`19` : `2,410,484`	0.000	1.000	0.000
rs8105815 lBF = `-0.0363676` Chr`19` : `41,673,848`	0.000	1.000	0.000
rs11671104 lBF = `-0.0398445` Chr`19` : `22,794,686`	0.000	1.000	0.000
rs3745367 lBF = `-0.104677` Chr`19` : `7,734,511`	0.000	1.000	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.000	1.000	0.000
rs2547231 lBF = `18.6779` Chr`19` : `48,385,057`	0.000	1.000	0.000
rs838133 lBF = `14.0415` Chr`19` : `49,259,529`	0.000	1.000	0.000
rs1529729 lBF = `12.5024` Chr`19` : `11,163,562`	0.000	1.000	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.000	1.000	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.000	1.000	0.000
rs34725611 lBF = `1.29016` Chr`19` : `10,477,067`	0.000	1.000	0.000
rs3865444 lBF = `0.590737` Chr`19` : `51,727,962`	0.000	1.000	0.000
rs1671152 lBF = `0.496658` Chr`19` : `55,526,345`	0.000	1.000	0.000
rs6509942 lBF = `0.344033` Chr`19` : `30,554,951`	0.000	1.000	0.000
rs3745516 lBF = `0.185966` Chr`19` : `50,926,742`	0.000	1.000	0.000
rs2116940 lBF = `0.15479` Chr`19` : `10,310,392`	0.000	1.000	0.000
rs4926244 lBF = `0.0914543` Chr`19` : `13,374,913`	0.000	1.000	0.000
rs8105265 lBF = `0.0722344` Chr`19` : `2,920,705`	0.000	1.000	0.000
rs8111589 lBF = `0.0513279` Chr`19` : `46,034,558`	0.000	1.000	0.000
rs2111504 lBF = `0.0368977` Chr`19` : `32,917,455`	0.000	1.000	0.000
rs836901 lBF = `0.0356105` Chr`19` : `20,302,394`	0.000	1.000	0.000
rs6510683 lBF = `0.029027` Chr`19` : `2,547,015`	0.000	1.000	0.000
rs16968074 lBF = `0.00313671` Chr`19` : `33,884,341`	0.000	1.000	0.000
rs3760775 lBF = `-0.0110255` Chr`19` : `5,841,356`	0.000	1.000	0.000
rs11671010 lBF = `-0.0129902` Chr`19` : `35,559,474`	0.000	1.000	0.000
rs11671007 lBF = `-0.0159052` Chr`19` : `2,893,405`	0.000	1.000	0.000
rs6509701 lBF = `-0.0618617` Chr`19` : `53,384,185`	0.000	1.000	0.000
rs6510489 lBF = `-0.0629226` Chr`19` : `35,973,289`	0.000	1.000	0.000
rs2562456 lBF = `-0.0719041` Chr`19` : `21,666,210`	0.000	1.000	0.000
rs2279008 lBF = `-0.0806357` Chr`19` : `17,283,303`	0.000	1.000	0.000
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.000	1.000	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.000	1.000	0.000
rs10426201 lBF = `18.1128` Chr`19` : `48,384,749`	0.000	1.000	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.000	1.000	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.000	1.000	0.000
rs2637125 lBF = `12.2047` Chr`19` : `48,401,893`	0.000	1.000	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.000	1.000	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.000	1.000	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.000	1.000	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.000	1.000	0.000
rs76561599 lBF = `5.44755` Chr`19` : `18,749,085`	0.000	1.000	0.000
rs8111071 lBF = `3.8254` Chr`19` : `46,307,406`	0.000	1.000	0.000
rs2304256 lBF = `1.51359` Chr`19` : `10,475,652`	0.000	1.000	0.000
rs10425738 lBF = `0.900321` Chr`19` : `41,417,727`	0.000	1.000	0.000
rs80050017 lBF = `0.238972` Chr`19` : `51,383,200`	0.000	1.000	0.000
rs425283 lBF = `0.169582` Chr`19` : `55,171,748`	0.000	1.000	0.000
rs2974238 lBF = `0.0753486` Chr`19` : `48,117,061`	0.000	1.000	0.000
rs3764650 lBF = `0.0623183` Chr`19` : `1,046,520`	0.000	1.000	0.000
rs4141232 lBF = `0.0528967` Chr`19` : `29,035,556`	0.000	1.000	0.000
rs11083475 lBF = `0.0471047` Chr`19` : `39,188,112`	0.000	1.000	0.000
rs8109578 lBF = `-0.00224085` Chr`19` : `10,213,154`	0.000	1.000	0.000
rs8105895 lBF = `-0.00521041` Chr`19` : `22,215,457`	0.000	1.000	0.000
rs11083846 lBF = `-0.0278177` Chr`19` : `47,207,654`	0.000	1.000	0.000
rs12984174 lBF = `-0.0292608` Chr`19` : `18,132,540`	0.000	1.000	0.000
rs12460584 lBF = `-0.0326852` Chr`19` : `51,186,081`	0.000	1.000	0.000
rs2108622 lBF = `-0.0334891` Chr`19` : `15,990,431`	0.000	1.000	0.000
rs8113142 lBF = `-0.0342136` Chr`19` : `29,012,921`	0.000	1.000	0.000
rs80285556 lBF = `-0.0376127` Chr`19` : `50,540,170`	0.000	1.000	0.000
rs759819 lBF = `-0.0534983` Chr`19` : `54,815,577`	0.000	1.000	0.000
rs28493229 lBF = `-0.0547884` Chr`19` : `41,224,204`	0.000	1.000	0.000
rs10411161 lBF = `-0.0549782` Chr`19` : `52,372,976`	0.000	1.000	0.000
rs56873913 lBF = `-0.055002` Chr`19` : `50,091,199`	0.000	1.000	0.000
rs2059807 lBF = `-0.0626248` Chr`19` : `7,166,109`	0.000	1.000	0.000
rs7254232 lBF = `-0.11344` Chr`19` : `47,796,800`	0.000	1.000	0.000
rs838145 lBF = `18.4833` Chr`19` : `49,248,730`	0.000	1.000	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.000	1.000	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.000	1.000	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.000	1.000	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.000	1.000	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.000	1.000	0.000
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.000	1.000	0.000
rs11671664 lBF = `3.73026` Chr`19` : `46,172,278`	0.000	1.000	0.000
rs11085727 lBF = `1.40057` Chr`19` : `10,466,123`	0.000	1.000	0.000
rs17694108 lBF = `1.03939` Chr`19` : `33,731,551`	0.000	1.000	0.000
rs1984450 lBF = `0.311369` Chr`19` : `53,013,799`	0.000	1.000	0.000
rs17724992 lBF = `0.290288` Chr`19` : `18,454,825`	0.000	1.000	0.000
rs2287838 lBF = `0.24255` Chr`19` : `9,959,014`	0.000	1.000	0.000
rs1654260 lBF = `0.1714` Chr`19` : `20,329,111`	0.000	1.000	0.000
rs4528684 lBF = `0.0522251` Chr`19` : `14,351,574`	0.000	1.000	0.000
rs11666377 lBF = `0.0168611` Chr`19` : `17,118,433`	0.000	1.000	0.000
rs443874 lBF = `0.0159284` Chr`19` : `54,779,389`	0.000	1.000	0.000
rs1382358 lBF = `0.010017` Chr`19` : `13,171,424`	0.000	1.000	0.000
rs3936340 lBF = `0.00107011` Chr`19` : `48,527,582`	0.000	1.000	0.000
rs3826795 lBF = `-0.0156973` Chr`19` : `46,800,433`	0.000	1.000	0.000
rs1799969 lBF = `-0.0221941` Chr`19` : `10,394,792`	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`)