TreeWAS – [N45] Orchitis and epididymitis

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
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.858	0.142	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.807	0.193	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.798	0.202	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.792	0.208	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.762	0.238	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.735	0.265	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.702	0.298	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.672	0.328	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.634	0.365	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.618	0.382	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.616	0.384	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.613	0.387	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.581	0.419	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.557	0.443	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.555	0.445	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.522	0.477	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.516	0.484	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.481	0.519	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.470	0.530	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.456	0.544	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.452	0.548	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.442	0.558	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.425	0.575	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.415	0.585	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.404	0.596	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.404	0.596	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.394	0.606	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.351	0.649	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.349	0.651	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.348	0.652	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.344	0.655	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.328	0.672	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.320	0.680	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.309	0.691	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.304	0.696	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.291	0.708	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.288	0.712	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.275	0.725	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.270	0.730	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.261	0.739	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.252	0.748	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.251	0.748	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.249	0.751	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.243	0.757	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.227	0.773	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.211	0.789	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.206	0.793	0.001
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.199	0.800	0.001
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.198	0.802	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.187	0.813	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.186	0.814	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.182	0.818	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.181	0.819	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.160	0.840	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.155	0.845	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.137	0.862	0.001
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.133	0.865	0.002
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.129	0.871	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.110	0.889	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.096	0.903	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.095	0.904	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.087	0.913	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.087	0.913	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.079	0.921	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.076	0.924	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.071	0.929	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.065	0.935	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.065	0.935	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.063	0.937	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.063	0.937	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.058	0.942	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.054	0.945	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.053	0.947	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.051	0.949	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.050	0.949	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.050	0.950	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.047	0.953	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.040	0.959	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.040	0.960	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.035	0.965	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.034	0.966	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.033	0.967	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.030	0.970	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.030	0.970	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.027	0.972	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.025	0.974	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.023	0.976	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.022	0.977	0.001
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.023	0.977	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.022	0.977	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.021	0.979	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.019	0.981	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.019	0.981	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.018	0.982	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.018	0.982	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.017	0.982	0.001
rs3743266 lBF = `0.0106142` Chr`15` : `60,781,513`	0.015	0.985	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.015	0.985	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.015	0.985	0.000
rs56205728 lBF = `-0.0752702` Chr`15` : `40,567,237`	0.000	0.986	0.014
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.013	0.987	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.011	0.988	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.012	0.988	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.011	0.989	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.010
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.010	0.990	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.009	0.991	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.009	0.991	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.008	0.991	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.008	0.992	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.008	0.992	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.008	0.992	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.007	0.993	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.007	0.993	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.006	0.993	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.006	0.993	0.000
rs2643217 lBF = `0.612596` Chr`15` : `39,003,763`	0.006	0.994	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.006	0.994	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.006	0.994	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.005	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.005	0.995	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.005	0.995	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.005	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.996	0.003
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.004	0.996	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.997	0.003
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.003	0.997	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.003	0.997	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.003	0.997	0.000
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.000	0.997	0.003
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.002	0.998	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.002	0.998	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.002	0.998	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.998	0.002
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.998	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.998	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.998	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.001	0.998	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.001	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.001	0.999	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.001	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	0.999	0.001
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.001	0.999	0.000
rs12899618 lBF = `-0.03096` Chr`15` : `71,645,120`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.001	0.999	0.001
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.001	0.999	0.000
rs6494537 lBF = `0.067618` Chr`15` : `66,051,345`	0.001	0.999	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.001	0.999	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.000	0.999	0.001
rs4932217 lBF = `-0.105391` Chr`15` : `89,902,032`	0.000	0.999	0.001
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs16940212 lBF = `-0.0798621` Chr`15` : `58,694,020`	0.000	0.999	0.001
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.000	0.999	0.001
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs115942227 lBF = `-0.00000509` Chr`15` : `58,105,033`	0.000	0.999	0.001
rs180709182 lBF = `-0.00002313` Chr`15` : `47,998,630`	0.000	0.999	0.001
rs3751599 lBF = `-0.00002368` Chr`15` : `51,573,533`	0.001	0.999	0.000
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rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	1.000	0.000
rs8033195 lBF = `0.010868` Chr`15` : `94,872,686`	0.000	1.000	0.000
rs1897031 lBF = `-0.0132897` Chr`15` : `54,341,465`	0.000	1.000	0.000
rs17439560 lBF = `-0.016614` Chr`15` : `37,449,619`	0.000	1.000	0.000
rs61524473 lBF = `-0.0299072` Chr`15` : `45,646,283`	0.000	1.000	0.000
rs1153858 lBF = `-0.0380403` Chr`15` : `45,652,703`	0.000	1.000	0.000
rs74874915 lBF = `-0.0431296` Chr`15` : `91,387,379`	0.000	1.000	0.000
rs4906844 lBF = `-0.0529965` Chr`15` : `26,277,545`	0.000	1.000	0.000
rs11857380 lBF = `-0.057484` Chr`15` : `58,712,203`	0.000	1.000	0.000
rs143536437 lBF = `-0.067172` Chr`15` : `30,898,332`	0.000	1.000	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	1.000	0.000
rs9806183 lBF = `-0.070436` Chr`15` : `71,574,799`	0.000	1.000	0.000
rs7403037 lBF = `-0.0870766` Chr`15` : `24,818,497`	0.000	1.000	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.000	1.000	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.000	1.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	1.000	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.000	1.000	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	1.000	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	1.000	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.000	1.000	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	1.000	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs12916300 lBF = `1.72274` Chr`15` : `28,410,491`	0.000	1.000	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.000	1.000	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs3784262 lBF = `0.160626` Chr`15` : `58,253,106`	0.000	1.000	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	1.000	0.000
rs8037790 lBF = `0.0814415` Chr`15` : `92,542,831`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.000	1.000	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs12915708 lBF = `-0.0366806` Chr`15` : `51,048,602`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs12591436 lBF = `-0.0585107` Chr`15` : `79,989,186`	0.000	1.000	0.000
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.000	1.000	0.000
rs12912251 lBF = `-0.0723374` Chr`15` : `38,986,368`	0.000	1.000	0.000
rs4777542 lBF = `-0.0815888` Chr`15` : `73,082,366`	0.000	1.000	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.000	1.000	0.000
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.000	1.000	0.000
rs2018860 lBF = `-0.105359` Chr`15` : `99,258,710`	0.000	1.000	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.000	1.000	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.000	1.000	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.000	1.000	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.000	1.000	0.000
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.000	1.000	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.000	1.000	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.000	1.000	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.000	1.000	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.000	1.000	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.000	1.000	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.000	1.000	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.000	1.000	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	1.000	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	1.000	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.000	1.000	0.000
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.000	1.000	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	1.000	0.000
rs7178909 lBF = `0.177574` Chr`15` : `90,447,946`	0.000	1.000	0.000
rs2567426 lBF = `0.13365` Chr`15` : `96,332,861`	0.000	1.000	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	1.000	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	1.000	0.000
rs56050415 lBF = `0.00309945` Chr`15` : `58,574,966`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	1.000	0.000
rs727479 lBF = `-0.023198` Chr`15` : `51,534,547`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.000	1.000	0.000
rs2414098 lBF = `-0.0356877` Chr`15` : `51,537,806`	0.000	1.000	0.000
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.000	1.000	0.000
rs8041943 lBF = `-0.0444366` Chr`15` : `79,966,600`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.000	1.000	0.000
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	1.000	0.000
rs8030136 lBF = `-0.0708881` Chr`15` : `25,022,988`	0.000	1.000	0.000
rs2011905 lBF = `-0.0838647` Chr`15` : `87,053,846`	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 X0300

log Bayes Factor = 109.684

contains 3 variants

0.9814

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.6901

Cluster X0202

log Bayes Factor = 106.378

contains 5 variants

0.6368

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.2710

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1047

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0810

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.0692

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9982

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9958

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9690

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9524

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9421

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9363

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9254

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.9121

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8731

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8609

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8569

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7456

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7317

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7146

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6846

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6825

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6593

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6445

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6157

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6068

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5651

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.5575

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5477

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5339

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5273

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5263

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5051

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4965

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.4755

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4619

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4426

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4408

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4364

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4346

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4331

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4191

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4147

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4117

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4095

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4026

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4021

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4001

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3954

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3757

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3621

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3582

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3536

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3326

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3207

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3198

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3148

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3040

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2994

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2870

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2855

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2790

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2766

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2617

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2605

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2568

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2439

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2340

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2044

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2017

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1855

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1823

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1800

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1795

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1722

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1691

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1632

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1502

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1488

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1452

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1395

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1258

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1224

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1133

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1055

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1020

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0959

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0936

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0933

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0914

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0900

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0824

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0687

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0628

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0591

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0580

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0571

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0523

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.

Parent term	N40-N51 Diseases of male genital organs
Nested terms	N45.0 Orchitis, epididymitis and epididymo-orchitis with abscess N45.9 Orchitis, epididymitis and epididymo-orchitis without abscess

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`)