TreeWAS – [N50.0] Atrophy of testis

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
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.682	0.318	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.668	0.332	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.599	0.400	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.591	0.409	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.589	0.411	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.557	0.443	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.553	0.447	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.516	0.484	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.500	0.500	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.471	0.528	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.448	0.552	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.442	0.558	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.422	0.578	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.408	0.591	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.403	0.597	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.384	0.616	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.345	0.655	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.343	0.657	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.317	0.683	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.305	0.695	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.299	0.700	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.297	0.702	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.290	0.710	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.274	0.725	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.274	0.726	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.265	0.735	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.248	0.751	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.246	0.754	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.239	0.760	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.230	0.769	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.230	0.770	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.228	0.772	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.197	0.803	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.193	0.807	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.190	0.810	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.181	0.819	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.171	0.828	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.167	0.832	0.001
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.161	0.839	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.160	0.839	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.145	0.854	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.145	0.855	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.139	0.861	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.138	0.862	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.136	0.864	0.001
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.134	0.866	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.131	0.869	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.130	0.870	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.123	0.876	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.121	0.878	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.119	0.880	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.109	0.891	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.106	0.894	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.101	0.899	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.080	0.919	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.078	0.920	0.003
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.079	0.920	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.079	0.920	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.075	0.924	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.060	0.940	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.058	0.942	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.055	0.945	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.052	0.948	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.049	0.951	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.043	0.957	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.042	0.957	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.042	0.958	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.040	0.960	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.037	0.963	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.035	0.965	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.032	0.968	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.032	0.968	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.032	0.968	0.001
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.032	0.968	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.029	0.971	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.028	0.972	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.027	0.973	0.001
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.026	0.973	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.026	0.974	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.025	0.975	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.024	0.976	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.024	0.976	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.023	0.977	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.021	0.979	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.018	0.982	0.000
rs1258763 lBF = `3.60508` Chr`15` : `33,050,423`	0.017	0.983	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.016	0.984	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.016	0.984	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.016	0.984	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.015	0.985	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.015	0.985	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.013	0.986	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.012	0.987	0.001
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.012	0.988	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.012	0.988	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.011	0.989	0.001
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.011	0.989	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.010	0.990	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.991	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.008	0.992	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.007	0.992	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.007	0.993	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.007	0.993	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.993	0.007
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.007	0.993	0.000
rs3743266 lBF = `0.0106142` Chr`15` : `60,781,513`	0.007	0.993	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.007	0.993	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.006	0.994	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.006	0.994	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.005	0.995	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.005	0.995	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.004	0.995	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.004	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.996	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.004	0.996	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.004	0.996	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.004	0.996	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.004	0.996	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.003	0.997	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.003	0.997	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.997	0.002
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.003	0.997	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.002	0.997	0.001
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs8033165 lBF = `0.0130614` Chr`15` : `29,006,093`	0.002	0.998	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.998	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.000	0.998	0.002
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.002	0.998	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.002	0.998	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.000	0.998	0.002
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.002	0.998	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.002	0.998	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.002	0.998	0.000
rs7174156 lBF = `-0.0322566` Chr`15` : `96,959,855`	0.000	0.998	0.002
rs8037818 lBF = `0.00213416` Chr`15` : `32,927,476`	0.000	0.998	0.002
rs3825932 lBF = `-0.0834112` Chr`15` : `79,235,446`	0.002	0.998	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.001	0.998	0.000
rs2725544 lBF = `-0.0424449` Chr`15` : `48,992,897`	0.002	0.998	0.000
rs2929278 lBF = `-0.0360307` Chr`15` : `44,250,313`	0.000	0.998	0.002
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.001	0.998	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.000	0.999	0.001
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.001	0.999	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs1466921 lBF = `-0.0815409` Chr`15` : `82,384,657`	0.000	0.999	0.001
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.001	0.999	0.000
rs4337252 lBF = `1.02881` Chr`15` : `74,226,765`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs3099143 lBF = `-0.0266001` Chr`15` : `77,104,856`	0.000	0.999	0.001
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.999	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.001
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
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.001	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	0.999	0.001
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.001
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	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
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
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
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	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
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	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
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	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
rs61996546 lBF = `-0.0681912` Chr`15` : `26,804,131`	0.001	0.999	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	0.999	0.001
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.001	0.999	0.000
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
rs150978828 lBF = `-0.00002407` Chr`15` : `37,500,185`	0.001	0.999	0.000
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rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs1876206 lBF = `0.0962583` Chr`15` : `48,900,586`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs2414739 lBF = `0.0198079` Chr`15` : `61,994,134`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.000	1.000	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.000	1.000	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	1.000	0.000
rs12907764 lBF = `12.9263` Chr`15` : `79,070,438`	0.000	1.000	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.000	1.000	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.000	1.000	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.000	1.000	0.000
rs2241423 lBF = `0.595588` Chr`15` : `68,086,838`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs4321143 lBF = `0.3117` Chr`15` : `96,156,368`	0.000	1.000	0.000
rs3784262 lBF = `0.160626` Chr`15` : `58,253,106`	0.000	1.000	0.000
rs2412475 lBF = `0.0764129` Chr`15` : `40,334,576`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.000	1.000	0.000
rs261291 lBF = `-0.0695615` Chr`15` : `58,680,178`	0.000	1.000	0.000
rs8032675 lBF = `-0.0863382` Chr`15` : `67,959,464`	0.000	1.000	0.000
rs997295 lBF = `-0.0911978` Chr`15` : `68,016,343`	0.000	1.000	0.000
rs11071657 lBF = `-0.0989686` Chr`15` : `62,433,962`	0.000	1.000	0.000
rs12914626 lBF = `-0.107182` Chr`15` : `58,738,423`	0.000	1.000	0.000
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	1.000	0.000
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	1.000	0.000
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	1.000	0.000
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	1.000	0.000
rs1432133 lBF = `1.38278` Chr`15` : `27,228,346`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	1.000	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs2192224 lBF = `-0.0460639` Chr`15` : `27,376,623`	0.000	1.000	0.000
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.000	1.000	0.000
rs1549318 lBF = `-0.0675144` Chr`15` : `71,109,147`	0.000	1.000	0.000
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.000	1.000	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs964611 lBF = `0.0418836` Chr`15` : `48,597,514`	0.000	1.000	0.000
rs1394125 lBF = `0.0167156` Chr`15` : `76,158,983`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	1.000	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	1.000	0.000
rs12901001 lBF = `-0.0336949` Chr`15` : `86,859,476`	0.000	1.000	0.000
rs4886670 lBF = `-0.0369237` Chr`15` : `75,449,674`	0.000	1.000	0.000
rs74874915 lBF = `-0.0431296` Chr`15` : `91,387,379`	0.000	1.000	0.000
rs35853021 lBF = `-0.0482636` Chr`15` : `58,680,643`	0.000	1.000	0.000
rs4776970 lBF = `-0.0609272` Chr`15` : `68,080,886`	0.000	1.000	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.000	1.000	0.000
rs12595305 lBF = `-0.0891017` Chr`15` : `89,899,624`	0.000	1.000	0.000
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	1.000	0.000
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	0.000	1.000	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs4887109 lBF = `10.7029` Chr`15` : `79,074,294`	0.000	1.000	0.000
rs9672608 lBF = `10.0134` Chr`15` : `78,797,463`	0.000	1.000	0.000
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.000	1.000	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs117799466 lBF = `0.335038` Chr`15` : `34,659,517`	0.000	1.000	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	1.000	0.000
rs893817 lBF = `0.126902` Chr`15` : `74,229,065`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs6494537 lBF = `0.067618` Chr`15` : `66,051,345`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	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

0.6424

Cluster X0202

log Bayes Factor = 106.378

contains 5 variants

0.3293

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.1566

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.0515

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0511

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9743

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8801

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8310

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8191

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7131

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7118

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7045

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6535

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6428

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6274

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5902

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.5458

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5395

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5310

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5292

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5269

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5129

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5018

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4905

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4853

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4773

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4488

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4361

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4325

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4166

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4070

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4054

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3795

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3655

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3583

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3476

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3457

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3315

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3286

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3279

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3154

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3036

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2983

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2891

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2833

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2775

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2694

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2631

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2614

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.2556

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2553

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2545

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2511

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2454

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2338

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2330

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2287

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2138

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2104

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2025

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1980

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1964

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1907

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1855

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1837

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1798

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1756

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1730

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1614

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1309

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1298

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1250

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1200

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1116

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0919

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0833

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0804

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0797

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0713

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0661

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0525

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0511

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`)