TreeWAS – [N41] Inflammatory diseases of prostate

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

N41

Inflammatory diseases of prostate

Parent term	N40-N51 Diseases of male genital organs
Nested terms	N41.0 Acute prostatitis N41.1 Chronic prostatitis N41.2 Abscess of prostate N41.3 Prostatocystitis N41.8 Other inflammatory diseases of prostate N41.9 Inflammatory disease of prostate, unspecified

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Variant effects

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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`	0.961	0.039	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.945	0.055	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.906	0.094	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.854	0.146	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.820	0.180	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.809	0.191	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.796	0.204	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.695	0.305	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.692	0.307	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.676	0.324	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.669	0.331	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.660	0.339	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.648	0.352	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.618	0.382	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.584	0.416	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.498	0.502	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.484	0.516	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.464	0.536	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.460	0.540	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.442	0.558	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.418	0.581	0.001
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.417	0.583	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.404	0.596	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.390	0.610	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.386	0.614	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.376	0.624	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.370	0.630	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.365	0.634	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.358	0.642	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.343	0.657	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.336	0.664	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.314	0.686	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.301	0.699	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.270	0.730	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.267	0.733	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.264	0.736	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.263	0.737	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.259	0.741	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.242	0.758	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.239	0.760	0.001
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.238	0.762	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.232	0.768	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.231	0.768	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.227	0.773	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.223	0.777	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.200	0.800	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.197	0.803	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.197	0.803	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.195	0.804	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.176	0.824	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.173	0.827	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.170	0.830	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.166	0.834	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.156	0.844	0.001
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.152	0.848	0.001
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.143	0.857	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.118	0.882	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.116	0.884	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.110	0.889	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.104	0.896	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.098	0.902	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.096	0.904	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.084	0.916	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.080	0.917	0.003
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.080	0.920	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.073	0.927	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.065	0.935	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.064	0.935	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.061	0.939	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.061	0.939	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.059	0.941	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.057	0.942	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.051	0.949	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.047	0.953	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.046	0.954	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.041	0.959	0.000
rs8037818 lBF = `0.00213416` Chr`15` : `32,927,476`	0.000	0.961	0.039
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.038	0.961	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.038	0.962	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.037	0.963	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.033	0.967	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.032	0.968	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.029	0.971	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.026	0.974	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.026	0.974	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.025	0.974	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.025	0.975	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.025	0.975	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.024	0.976	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.023	0.977	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.022	0.978	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.022	0.978	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.020	0.980	0.001
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.018	0.982	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.017	0.983	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.016	0.983	0.001
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.014	0.985	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.012	0.988	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
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.012	0.988	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.011	0.989	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.010	0.989	0.000
rs12901001 lBF = `-0.0336949` Chr`15` : `86,859,476`	0.000	0.989	0.011
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.010	0.990	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.009
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.009	0.991	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.009	0.991	0.000
rs3743266 lBF = `0.0106142` Chr`15` : `60,781,513`	0.008	0.992	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.008	0.992	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.007	0.992	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.007	0.993	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.007	0.993	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.006	0.994	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.006	0.994	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.006	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.994	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.003	0.995	0.002
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.005	0.995	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.005	0.995	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.005	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.004	0.996	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.003	0.996	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.004	0.996	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.004	0.996	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.996	0.003
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.003	0.997	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.003	0.997	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.997	0.003
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.002	0.997	0.001
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs12148488 lBF = `-0.0718633` Chr`15` : `75,382,542`	0.003	0.997	0.000
rs12915845 lBF = `0.271243` Chr`15` : `89,042,467`	0.002	0.998	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.002	0.998	0.000
rs4533267 lBF = `0.0106736` Chr`15` : `100,786,271`	0.002	0.998	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.002	0.998	0.000
rs950027 lBF = `-0.0999884` Chr`15` : `45,801,035`	0.002	0.998	0.000
rs7172677 lBF = `-0.00712931` Chr`15` : `75,424,593`	0.000	0.998	0.002
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	0.998	0.002
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.002	0.998	0.000
rs4886591 lBF = `13.1684` Chr`15` : `79,074,518`	0.000	0.998	0.002
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.002	0.998	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	0.998	0.002
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.002	0.998	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	0.998	0.002
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	0.998	0.002
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.998	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.001	0.998	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.000	0.999	0.001
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.999	0.001
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.000	0.999	0.001
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.001	0.999	0.000
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.000	0.999	0.001
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.001	0.999	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.000	0.999	0.001
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	0.999	0.001
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	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
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	0.999	0.001
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.001	0.999	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs11071200 lBF = `0.142672` Chr`15` : `55,950,082`	0.000	0.999	0.001
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	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
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
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
rs60283548 lBF = `0` Chr`15` : `97,454,880`	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
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rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
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rs4468572 lBF = `12.8978` Chr`15` : `79,124,475`	0.000	1.000	0.000
rs4887083 lBF = `12.6659` Chr`15` : `79,025,577`	0.000	1.000	0.000
rs6495314 lBF = `11.5014` Chr`15` : `78,960,529`	0.000	1.000	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.000	1.000	0.000
rs10163145 lBF = `3.15837` Chr`15` : `79,075,335`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.000	1.000	0.000
rs12324870 lBF = `0.189277` Chr`15` : `78,995,801`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	1.000	0.000
rs8038543 lBF = `13.5425` Chr`15` : `79,017,685`	0.000	1.000	0.000
rs4886587 lBF = `12.9685` Chr`15` : `79,026,822`	0.000	1.000	0.000
rs1825082 lBF = `12.968` Chr`15` : `79,023,433`	0.000	1.000	0.000
rs3971860 lBF = `12.95` Chr`15` : `79,026,278`	0.000	1.000	0.000
rs3971859 lBF = `12.95` Chr`15` : `79,026,277`	0.000	1.000	0.000
rs4886586 lBF = `12.8964` Chr`15` : `79,026,674`	0.000	1.000	0.000
rs11639181 lBF = `12.8441` Chr`15` : `79,024,016`	0.000	1.000	0.000
rs11639049 lBF = `12.6971` Chr`15` : `79,023,730`	0.000	1.000	0.000
rs11639166 lBF = `12.6714` Chr`15` : `79,023,766`	0.000	1.000	0.000
rs8027972 lBF = `12.657` Chr`15` : `79,022,615`	0.000	1.000	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	1.000	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs7174755 lBF = `-0.0365078` Chr`15` : `68,597,127`	0.000	1.000	0.000
rs2018860 lBF = `-0.105359` Chr`15` : `99,258,710`	0.000	1.000	0.000
rs7168365 lBF = `-0.106349` Chr`15` : `53,805,825`	0.000	1.000	0.000
rs4887087 lBF = `13.2234` Chr`15` : `79,026,541`	0.000	1.000	0.000
rs11639382 lBF = `12.7981` Chr`15` : `79,024,268`	0.000	1.000	0.000
rs11639375 lBF = `12.7979` Chr`15` : `79,024,214`	0.000	1.000	0.000
rs11639347 lBF = `12.7116` Chr`15` : `79,024,350`	0.000	1.000	0.000
rs1432133 lBF = `1.38278` Chr`15` : `27,228,346`	0.000	1.000	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs4984406 lBF = `0.117383` Chr`15` : `95,268,494`	0.000	1.000	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs9328573 lBF = `-0.0201958` Chr`15` : `100,511,004`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs11247124 lBF = `-0.0606221` Chr`15` : `100,265,725`	0.000	1.000	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	1.000	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.000	1.000	0.000
rs11638490 lBF = `13.7239` Chr`15` : `79,007,950`	0.000	1.000	0.000
rs76919723 lBF = `13.6035` Chr`15` : `79,017,281`	0.000	1.000	0.000
rs17691453 lBF = `1.65764` Chr`15` : `39,543,946`	0.000	1.000	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs1258767 lBF = `-0.0148593` Chr`15` : `33,126,454`	0.000	1.000	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	1.000	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.000	1.000	0.000
rs4923705 lBF = `-0.0532717` Chr`15` : `36,293,605`	0.000	1.000	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.000	1.000	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.000	1.000	0.000
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs7173064 lBF = `-0.0402484` Chr`15` : `94,271,228`	0.000	1.000	0.000
rs1471225 lBF = `-0.0492171` Chr`15` : `29,888,396`	0.000	1.000	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.000	1.000	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	1.000	0.000
rs11072791 lBF = `13.9577` Chr`15` : `78,997,076`	0.000	1.000	0.000
rs12910627 lBF = `13.9518` Chr`15` : `78,994,933`	0.000	1.000	0.000
rs11072790 lBF = `13.6677` Chr`15` : `78,992,025`	0.000	1.000	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.000	1.000	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	1.000	0.000
rs4337252 lBF = `1.02881` Chr`15` : `74,226,765`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs893817 lBF = `0.126902` Chr`15` : `74,229,065`	0.000	1.000	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.000	1.000	0.000
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.000	1.000	0.000
rs2676071 lBF = `-0.0473081` Chr`15` : `33,597,076`	0.000	1.000	0.000
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.000	1.000	0.000
rs12912251 lBF = `-0.0723374` Chr`15` : `38,986,368`	0.000	1.000	0.000
rs6576443 lBF = `-0.0848589` Chr`15` : `25,894,658`	0.000	1.000	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.000	1.000	0.000
rs17271305 lBF = `-0.109195` Chr`15` : `62,332,980`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs11634543 lBF = `13.7153` Chr`15` : `79,005,504`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs34275594 lBF = `0.368482` Chr`15` : `78,981,282`	0.000	1.000	0.000
rs2305707 lBF = `0.120884` Chr`15` : `51,569,410`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	1.000	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	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

1.0000

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.9716

Cluster X0202

log Bayes Factor = 106.378

contains 5 variants

0.6714

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1868

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1799

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.1364

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

1.0000

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

1.0000

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9991

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9980

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9909

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9885

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9799

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9795

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9682

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9580

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8714

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7725

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7608

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7404

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7215

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7128

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6785

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6438

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6418

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5862

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5611

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5518

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5499

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5443

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5345

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5304

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5189

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5035

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4996

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4832

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4735

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.4731

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4551

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4500

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4471

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4458

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4343

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4042

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3960

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3688

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3467

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3233

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3190

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3154

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3016

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2496

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2374

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2278

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2266

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2053

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2042

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2035

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1972

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1965

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1736

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1432

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1377

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1298

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1296

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1240

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1123

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1106

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1029

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1003

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0963

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0930

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0920

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0899

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0776

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0718

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0640

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0634

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0591

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0589

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0574

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0559

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0553

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0535

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0521

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0503

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)

Hospitalization Episode Statistics (`HES`)