TreeWAS – [N41.0] Acute prostatitis

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`	0.820	0.180	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.792	0.208	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.779	0.221	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.717	0.283	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.713	0.287	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.661	0.339	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.612	0.387	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.583	0.417	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.498	0.502	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.496	0.503	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.473	0.526	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.465	0.535	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.443	0.556	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.419	0.581	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.416	0.584	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.363	0.637	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.350	0.650	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.326	0.674	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.317	0.683	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.317	0.683	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.300	0.699	0.001
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.291	0.709	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.290	0.710	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.290	0.710	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.288	0.712	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.282	0.718	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.279	0.720	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.267	0.733	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.260	0.739	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.260	0.740	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.257	0.743	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.238	0.762	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.229	0.771	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.225	0.774	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.220	0.780	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.203	0.797	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.201	0.799	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.190	0.809	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.189	0.811	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.181	0.819	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.176	0.824	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.170	0.830	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.166	0.834	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.166	0.834	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.156	0.843	0.001
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.150	0.850	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.149	0.851	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.146	0.854	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.141	0.858	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.138	0.862	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.136	0.864	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.129	0.871	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.119	0.881	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.112	0.888	0.001
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.109	0.890	0.001
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.104	0.896	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.103	0.897	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.095	0.905	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.093	0.907	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.083	0.917	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.079	0.920	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.073	0.927	0.000
rs8037818 lBF = `0.00213416` Chr`15` : `32,927,476`	0.000	0.934	0.066
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.060	0.940	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.057	0.940	0.003
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.059	0.941	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.056	0.943	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.044	0.956	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.044	0.956	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.041	0.958	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.038	0.962	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.036	0.963	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.036	0.964	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.035	0.964	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.035	0.965	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.033	0.967	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.030	0.969	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.029	0.970	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.024	0.976	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.023	0.977	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.021	0.979	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.020	0.979	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.020	0.980	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.019	0.980	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.020	0.980	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.019	0.981	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.018	0.982	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.018	0.982	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.017	0.983	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.016	0.984	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.016	0.984	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.015	0.985	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.014	0.985	0.001
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.012	0.987	0.001
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.012	0.988	0.001
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.010	0.989	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.010	0.989	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.009	0.991	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
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.008	0.992	0.001
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.008	0.992	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.008	0.992	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.007	0.992	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.993	0.007
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.007	0.993	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.006	0.993	0.000
rs12901001 lBF = `-0.0336949` Chr`15` : `86,859,476`	0.000	0.994	0.006
rs3743266 lBF = `0.0106142` Chr`15` : `60,781,513`	0.006	0.994	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.006	0.994	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.006	0.994	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.006	0.994	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.006	0.994	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.994	0.000
rs4886591 lBF = `13.1684` Chr`15` : `79,074,518`	0.000	0.995	0.005
rs7172677 lBF = `-0.00712931` Chr`15` : `75,424,593`	0.000	0.995	0.005
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.996	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.004	0.996	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.004	0.996	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.004	0.996	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.004	0.996	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.002	0.996	0.002
rs7169223 lBF = `0.259143` Chr`15` : `78,992,116`	0.004	0.996	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.003	0.996	0.000
rs4887113 lBF = `10.8073` Chr`15` : `79,095,287`	0.000	0.996	0.003
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs4887109 lBF = `10.7029` Chr`15` : `79,074,294`	0.000	0.997	0.003
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.003	0.997	0.000
rs1994016 lBF = `10.7289` Chr`15` : `79,080,234`	0.000	0.997	0.003
rs12913260 lBF = `12.0735` Chr`15` : `79,071,095`	0.000	0.997	0.003
rs12915845 lBF = `0.271243` Chr`15` : `89,042,467`	0.003	0.997	0.000
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.000	0.997	0.003
rs4886590 lBF = `10.9795` Chr`15` : `79,074,506`	0.000	0.997	0.003
rs11638321 lBF = `10.9777` Chr`15` : `79,092,183`	0.000	0.997	0.003
rs28610385 lBF = `11.0231` Chr`15` : `79,090,606`	0.000	0.997	0.003
rs7173267 lBF = `10.9887` Chr`15` : `79,092,750`	0.000	0.997	0.003
rs11634450 lBF = `10.9393` Chr`15` : `79,093,201`	0.000	0.997	0.003
rs11856536 lBF = `10.9145` Chr`15` : `79,094,325`	0.000	0.997	0.003
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.000	0.997	0.003
rs3825807 lBF = `10.7606` Chr`15` : `79,089,111`	0.000	0.997	0.003
rs12905273 lBF = `0.118888` Chr`15` : `79,002,755`	0.003	0.997	0.000
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	0.000	0.997	0.003
rs11639044 lBF = `12.4408` Chr`15` : `79,083,814`	0.000	0.997	0.003
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.997	0.002
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	0.997	0.003
rs12148488 lBF = `-0.0718633` Chr`15` : `75,382,542`	0.003	0.997	0.000
rs36061084 lBF = `11.3186` Chr`15` : `79,074,253`	0.000	0.997	0.003
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.003	0.997	0.000
rs35474770 lBF = `11.4403` Chr`15` : `79,074,000`	0.000	0.997	0.003
rs11632102 lBF = `11.961` Chr`15` : `79,086,057`	0.000	0.997	0.003
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.002	0.997	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.997	0.002
rs112321636 lBF = `11.2927` Chr`15` : `79,072,100`	0.000	0.997	0.003
rs12324870 lBF = `0.189277` Chr`15` : `78,995,801`	0.003	0.997	0.000
rs2004038 lBF = `11.3758` Chr`15` : `79,071,406`	0.000	0.997	0.003
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.002	0.997	0.000
rs950027 lBF = `-0.0999884` Chr`15` : `45,801,035`	0.003	0.997	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.002	0.997	0.001
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.001	0.998	0.002
rs10163145 lBF = `3.15837` Chr`15` : `79,075,335`	0.000	0.998	0.002
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs11857176 lBF = `0.705823` Chr`15` : `78,164,706`	0.002	0.998	0.000
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.000	0.998	0.002
rs12900463 lBF = `0.519679` Chr`15` : `85,415,386`	0.002	0.998	0.000
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.000	0.998	0.002
rs2277546 lBF = `12.5381` Chr`15` : `79,083,376`	0.000	0.998	0.002
rs2277545 lBF = `12.5251` Chr`15` : `79,083,591`	0.000	0.998	0.002
rs2904220 lBF = `12.8397` Chr`15` : `79,076,704`	0.000	0.998	0.002
rs1825087 lBF = `12.8373` Chr`15` : `79,077,114`	0.000	0.998	0.002
rs4886592 lBF = `12.6218` Chr`15` : `79,082,547`	0.000	0.998	0.002
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.002	0.998	0.000
rs12050525 lBF = `12.7855` Chr`15` : `79,075,746`	0.000	0.998	0.002
rs12903203 lBF = `12.3822` Chr`15` : `79,084,933`	0.000	0.998	0.002
rs11858210 lBF = `12.875` Chr`15` : `79,078,358`	0.000	0.998	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs12594515 lBF = `-0.0698809` Chr`15` : `45,985,071`	0.000	0.998	0.002
rs11072805 lBF = `12.0166` Chr`15` : `79,078,518`	0.000	0.998	0.002
rs11072806 lBF = `11.8753` Chr`15` : `79,079,074`	0.000	0.998	0.002
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.000	0.998	0.002
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.000	0.998	0.002
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	0.998	0.002
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.002	0.998	0.000
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.002	0.998	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.002	0.998	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	0.998	0.002
rs339969 lBF = `-0.0469999` Chr`15` : `60,883,281`	0.000	0.998	0.002
rs12907764 lBF = `12.9263` Chr`15` : `79,070,438`	0.000	0.998	0.002
rs340029 lBF = `-0.0381864` Chr`15` : `60,894,965`	0.000	0.998	0.002
rs4887086 lBF = `12.9948` Chr`15` : `79,026,529`	0.000	0.998	0.002
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.001	0.998	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.998	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	0.998	0.001
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.001	0.998	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.001	0.998	0.000
rs8024033 lBF = `0.115052` Chr`15` : `40,403,657`	0.001	0.999	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.000	0.999	0.001
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.000	0.999	0.001
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.001	0.999	0.000
rs3813565 lBF = `13.1694` Chr`15` : `79,019,610`	0.000	0.999	0.001
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rs727479 lBF = `-0.023198` Chr`15` : `51,534,547`	0.000	0.999	0.001
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.001	0.999	0.000
rs4776970 lBF = `-0.0609272` Chr`15` : `68,080,886`	0.000	0.999	0.001
rs4778879 lBF = `-0.0858533` Chr`15` : `79,372,875`	0.001	0.999	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.001	0.999	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	0.999	0.001
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	0.999	0.001
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	0.999	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	0.999	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	0.999	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	0.999	0.001
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.000	0.999	0.001
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	0.999	0.001
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.000	0.999	0.001
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.000	0.999	0.001
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	0.999	0.001
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.000	0.999	0.001
rs340025 lBF = `-0.0900066` Chr`15` : `60,908,307`	0.000	0.999	0.001
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.000	0.999	0.001
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.000	0.999	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	0.999	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.000	0.999	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	0.999	0.000
rs1876206 lBF = `0.0962583` Chr`15` : `48,900,586`	0.000	0.999	0.001
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.000	0.999	0.001
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	0.999	0.000
rs4965121 lBF = `-0.103291` Chr`15` : `98,518,792`	0.001	0.999	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.000	0.999	0.001
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.001	0.999	0.000
rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.000	0.999	0.000
rs950776 lBF = `0.199223` Chr`15` : `78,926,018`	0.001	0.999	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.001	0.999	0.000
rs8041227 lBF = `-0.03131` Chr`15` : `31,538,542`	0.000	0.999	0.000
rs1993976 lBF = `-0.0678076` Chr`15` : `98,606,313`	0.000	0.999	0.001
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.000	0.999	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	0.999	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.000	0.999	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	0.999	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	0.999	0.000
rs8023401 lBF = `0.0777811` Chr`15` : `48,703,823`	0.000	0.999	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	0.999	0.000
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.000	0.999	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	0.999	0.000
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.000	0.999	0.000
rs2777491 lBF = `-0.053517` Chr`15` : `41,735,710`	0.000	0.999	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
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.000	1.000	0.000
rs12591452 lBF = `11.8657` Chr`15` : `49,273,619`	0.000	1.000	0.000
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.000	1.000	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs12441664 lBF = `1.2249` Chr`15` : `97,714,534`	0.000	1.000	0.000
rs7179228 lBF = `0.0380638` Chr`15` : `68,622,347`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	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
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	1.000	0.000
rs2562784 lBF = `-0.044072` Chr`15` : `84,286,492`	0.000	1.000	0.000
rs11071033 lBF = `-0.0835102` Chr`15` : `54,380,200`	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
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.000	1.000	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.000	1.000	0.000
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.000	1.000	0.000
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.000	1.000	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs8024343 lBF = `-0.0518479` Chr`15` : `87,710,066`	0.000	1.000	0.000
rs78472555 lBF = `-0.0673363` Chr`15` : `100,267,322`	0.000	1.000	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.000	1.000	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	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
rs79455310 lBF = `13.5183` Chr`15` : `49,439,115`	0.000	1.000	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs7176508 lBF = `2.28547` Chr`15` : `70,018,990`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs2412475 lBF = `0.0764129` Chr`15` : `40,334,576`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs765787 lBF = `-0.0573734` Chr`15` : `45,500,047`	0.000	1.000	0.000
rs12903146 lBF = `-0.0838897` Chr`15` : `61,854,663`	0.000	1.000	0.000
rs8032416 lBF = `-0.124987` Chr`15` : `62,409,070`	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 X0317

log Bayes Factor = 95.4365

contains 2 variants

0.9670

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.7330

Cluster X0202

log Bayes Factor = 106.378

contains 5 variants

0.2148

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1376

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.0869

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0806

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.9875

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9696

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9544

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9471

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9451

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9394

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9363

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9103

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8625

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7506

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7450

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6265

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6233

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5833

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5510

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5270

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5262

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5235

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5219

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5113

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4762

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4752

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4657

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4577

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4536

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4441

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4436

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4393

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4344

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4085

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4044

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3985

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3793

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3580

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3577

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3479

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3344

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.3322

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2901

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2829

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2709

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2223

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2079

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1970

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1957

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1834

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1788

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1783

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1768

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1767

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1615

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1490

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1353

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1265

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1119

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1032

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1023

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1014

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0986

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0948

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0925

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0915

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0870

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0801

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0769

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0758

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0690

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0606

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`)