TreeWAS – [Z12.5] Special screening examination for neoplasm of prostate

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
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.814	0.185	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.725	0.275	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.665	0.335	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.664	0.336	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.626	0.374	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.592	0.408	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.537	0.463	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.522	0.478	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.510	0.490	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.487	0.513	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.483	0.517	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.457	0.543	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.453	0.546	0.001
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.445	0.555	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.430	0.570	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.425	0.575	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.403	0.596	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.390	0.610	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.388	0.612	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.386	0.614	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.385	0.615	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.375	0.625	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.370	0.630	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.363	0.637	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.355	0.645	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.350	0.650	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.344	0.655	0.001
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.323	0.677	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.316	0.683	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.311	0.689	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.303	0.697	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.295	0.705	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.291	0.709	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.268	0.732	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.265	0.735	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.253	0.747	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.244	0.756	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.232	0.768	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.231	0.768	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.231	0.768	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.218	0.782	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.207	0.793	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.199	0.800	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.180	0.820	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.177	0.823	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.177	0.823	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.166	0.833	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.163	0.837	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.160	0.840	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.158	0.842	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.158	0.842	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.157	0.843	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.148	0.851	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.142	0.856	0.002
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.139	0.861	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.118	0.881	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.114	0.886	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.109	0.891	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.097	0.903	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.095	0.905	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.093	0.907	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.093	0.907	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.091	0.909	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.088	0.912	0.001
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.087	0.913	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.087	0.913	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.086	0.914	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.086	0.914	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.085	0.915	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.083	0.916	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.083	0.917	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.081	0.919	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.076	0.924	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.075	0.925	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.069	0.930	0.001
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.067	0.933	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.063	0.937	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.058	0.942	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.058	0.942	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.055	0.945	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.054	0.946	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.045	0.955	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.041	0.959	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.038	0.962	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.028	0.972	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.026	0.974	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.025	0.975	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.025	0.975	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.024	0.976	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.020	0.980	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.018	0.981	0.001
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.018	0.981	0.001
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.016	0.983	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.016	0.984	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.014	0.986	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.013	0.987	0.001
rs1258763 lBF = `3.60508` Chr`15` : `33,050,423`	0.000	0.987	0.013
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.013	0.987	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.013	0.987	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.012	0.987	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.012	0.988	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.012	0.988	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.011	0.988	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.011	0.989	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.010	0.990	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.009	0.991	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.009	0.991	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.009	0.991	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.009	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.992	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.008	0.992	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.006	0.993	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.006	0.994	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.005	0.995	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	0.995	0.005
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.005
rs6496044 lBF = `0.396601` Chr`15` : `86,067,306`	0.005	0.995	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.005	0.995	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.004	0.996	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.004	0.996	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.004	0.996	0.000
rs1993976 lBF = `-0.0678076` Chr`15` : `98,606,313`	0.004	0.996	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.003	0.996	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.004	0.996	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.996	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.003	0.997	0.000
rs4887109 lBF = `10.7029` Chr`15` : `79,074,294`	0.003	0.997	0.000
rs12913260 lBF = `12.0735` Chr`15` : `79,071,095`	0.003	0.997	0.000
rs112321636 lBF = `11.2927` Chr`15` : `79,072,100`	0.003	0.997	0.000
rs4886590 lBF = `10.9795` Chr`15` : `79,074,506`	0.003	0.997	0.000
rs35474770 lBF = `11.4403` Chr`15` : `79,074,000`	0.003	0.997	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.003	0.997	0.000
rs36061084 lBF = `11.3186` Chr`15` : `79,074,253`	0.003	0.997	0.000
rs2004038 lBF = `11.3758` Chr`15` : `79,071,406`	0.003	0.997	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.002	0.997	0.001
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.997	0.002
rs12907764 lBF = `12.9263` Chr`15` : `79,070,438`	0.003	0.997	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.002	0.998	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.002	0.998	0.000
rs1437588 lBF = `-0.0796046` Chr`15` : `96,809,782`	0.002	0.998	0.000
rs4887113 lBF = `10.8073` Chr`15` : `79,095,287`	0.002	0.998	0.000
rs28610385 lBF = `11.0231` Chr`15` : `79,090,606`	0.002	0.998	0.000
rs7173267 lBF = `10.9887` Chr`15` : `79,092,750`	0.002	0.998	0.000
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.002	0.998	0.000
rs11634450 lBF = `10.9393` Chr`15` : `79,093,201`	0.002	0.998	0.000
rs11856536 lBF = `10.9145` Chr`15` : `79,094,325`	0.002	0.998	0.000
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.000	0.998	0.002
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.002	0.998	0.000
rs11638321 lBF = `10.9777` Chr`15` : `79,092,183`	0.002	0.998	0.000
rs11072806 lBF = `11.8753` Chr`15` : `79,079,074`	0.002	0.998	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.002	0.998	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.000	0.998	0.002
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.002	0.998	0.000
rs11858210 lBF = `12.875` Chr`15` : `79,078,358`	0.002	0.998	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.002	0.998	0.000
rs2904220 lBF = `12.8397` Chr`15` : `79,076,704`	0.002	0.998	0.000
rs1825087 lBF = `12.8373` Chr`15` : `79,077,114`	0.002	0.998	0.000
rs12050525 lBF = `12.7855` Chr`15` : `79,075,746`	0.002	0.998	0.000
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.002	0.998	0.000
rs1994016 lBF = `10.7289` Chr`15` : `79,080,234`	0.002	0.998	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.002	0.998	0.000
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.002	0.998	0.000
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.002	0.998	0.000
rs11072805 lBF = `12.0166` Chr`15` : `79,078,518`	0.002	0.998	0.000
rs3825807 lBF = `10.7606` Chr`15` : `79,089,111`	0.002	0.998	0.000
rs588136 lBF = `0.0543852` Chr`15` : `58,730,498`	0.002	0.998	0.000
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.002	0.998	0.000
rs12913259 lBF = `-0.0449469` Chr`15` : `51,014,716`	0.002	0.998	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.002	0.998	0.000
rs261334 lBF = `0.0183237` Chr`15` : `58,726,744`	0.002	0.998	0.000
rs12903203 lBF = `12.3822` Chr`15` : `79,084,933`	0.002	0.998	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.002	0.998	0.000
rs4886592 lBF = `12.6218` Chr`15` : `79,082,547`	0.002	0.998	0.000
rs2277546 lBF = `12.5381` Chr`15` : `79,083,376`	0.002	0.998	0.000
rs2277545 lBF = `12.5251` Chr`15` : `79,083,591`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.998	0.000
rs4886591 lBF = `13.1684` Chr`15` : `79,074,518`	0.002	0.998	0.000
rs11639044 lBF = `12.4408` Chr`15` : `79,083,814`	0.002	0.998	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.000	0.998	0.002
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.000	0.998	0.002
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.001	0.998	0.000
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	0.002	0.998	0.000
rs8035452 lBF = `-0.0444671` Chr`15` : `51,040,798`	0.002	0.998	0.000
rs10163145 lBF = `3.15837` Chr`15` : `79,075,335`	0.001	0.998	0.000
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.000	0.999	0.001
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.001	0.999	0.000
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.001	0.999	0.000
rs11632102 lBF = `11.961` Chr`15` : `79,086,057`	0.001	0.999	0.000
rs1077835 lBF = `-0.0112113` Chr`15` : `58,723,426`	0.000	0.999	0.001
rs12915708 lBF = `-0.0366806` Chr`15` : `51,048,602`	0.001	0.999	0.000
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs34275594 lBF = `0.368482` Chr`15` : `78,981,282`	0.000	0.999	0.001
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
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rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.000	0.999	0.000
rs4887084 lBF = `12.8944` Chr`15` : `79,025,593`	0.000	0.999	0.000
rs2869561 lBF = `12.7931` Chr`15` : `79,025,516`	0.000	0.999	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	0.999	0.000
rs8028313 lBF = `0.549074` Chr`15` : `68,043,057`	0.000	0.999	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.999	0.000
rs1356410 lBF = `0.147653` Chr`15` : `42,434,837`	0.000	0.999	0.000
rs4984499 lBF = `0.0976222` Chr`15` : `96,647,793`	0.000	0.999	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	0.999	0.000
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.000	0.999	0.000
rs62018380 lBF = `-0.0507671` Chr`15` : `95,275,917`	0.000	0.999	0.000
rs2652822 lBF = `-0.130664` Chr`15` : `63,422,772`	0.000	0.999	0.000
rs4887083 lBF = `12.6659` Chr`15` : `79,025,577`	0.000	1.000	0.000
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.000	1.000	0.000
rs16951275 lBF = `0.538361` Chr`15` : `68,077,168`	0.000	1.000	0.000
rs12915845 lBF = `0.271243` Chr`15` : `89,042,467`	0.000	1.000	0.000
rs4965272 lBF = `0.0640466` Chr`15` : `100,584,739`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.000	1.000	0.000
rs1472631 lBF = `-0.130445` Chr`15` : `63,423,739`	0.000	1.000	0.000
rs8042849 lBF = `34.3643` Chr`15` : `78,817,929`	0.000	1.000	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	1.000	0.000
rs1667394 lBF = `3.63476` Chr`15` : `28,530,182`	0.000	1.000	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.000	1.000	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.000	1.000	0.000
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.000	1.000	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	1.000	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	1.000	0.000
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.000	1.000	0.000
rs937254 lBF = `-0.0852167` Chr`15` : `57,910,164`	0.000	1.000	0.000
rs3813565 lBF = `13.1694` Chr`15` : `79,019,610`	0.000	1.000	0.000
rs11072792 lBF = `13.1592` Chr`15` : `78,999,911`	0.000	1.000	0.000
rs11857532 lBF = `3.34895` Chr`15` : `78,968,268`	0.000	1.000	0.000
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.000	1.000	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	1.000	0.000
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.000	1.000	0.000
rs2725544 lBF = `-0.0424449` Chr`15` : `48,992,897`	0.000	1.000	0.000
rs7175404 lBF = `-0.0549224` Chr`15` : `94,036,688`	0.000	1.000	0.000
rs9972327 lBF = `-0.0668034` Chr`15` : `90,630,892`	0.000	1.000	0.000
rs7172809 lBF = `-0.0978218` Chr`15` : `77,819,676`	0.000	1.000	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs7170668 lBF = `-0.0260738` Chr`15` : `96,014,143`	0.000	1.000	0.000
rs8023715 lBF = `-0.0503426` Chr`15` : `97,607,681`	0.000	1.000	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.000	1.000	0.000
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	1.000	0.000
rs7164569 lBF = `-0.0110508` Chr`15` : `31,793,930`	0.000	1.000	0.000
rs2414095 lBF = `-0.0223207` Chr`15` : `51,524,292`	0.000	1.000	0.000
rs727479 lBF = `-0.023198` Chr`15` : `51,534,547`	0.000	1.000	0.000
rs3099143 lBF = `-0.0266001` Chr`15` : `77,104,856`	0.000	1.000	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	1.000	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.000	1.000	0.000
rs11630290 lBF = `-0.0707247` Chr`15` : `63,915,786`	0.000	1.000	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.000	1.000	0.000
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.000	1.000	0.000
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.000	1.000	0.000
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.000	1.000	0.000
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.000	1.000	0.000
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.000	1.000	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs10152811 lBF = `0.0544045` Chr`15` : `86,854,590`	0.000	1.000	0.000
rs1383484 lBF = `0.00814461` Chr`15` : `84,522,755`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	1.000	0.000
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.000	1.000	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	1.000	0.000
rs9806762 lBF = `-0.0430734` Chr`15` : `88,661,739`	0.000	1.000	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.000	1.000	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	1.000	0.000
rs11634397 lBF = `-0.082465` Chr`15` : `80,432,222`	0.000	1.000	0.000
rs11071033 lBF = `-0.0835102` Chr`15` : `54,380,200`	0.000	1.000	0.000
rs4262906 lBF = `-0.0971759` Chr`15` : `86,462,852`	0.000	1.000	0.000
rs4887086 lBF = `12.9948` Chr`15` : `79,026,529`	0.000	1.000	0.000
rs6495314 lBF = `11.5014` Chr`15` : `78,960,529`	0.000	1.000	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.000	1.000	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.000	1.000	0.000
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.000	1.000	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.000	1.000	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.000	1.000	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.0665

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0529

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9824

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9820

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9738

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9645

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9636

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9495

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9240

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9204

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9152

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9128

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8900

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8846

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8648

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8381

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8287

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8212

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8206

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8150

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8114

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8083

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8062

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8007

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8004

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7989

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7978

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7973

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7900

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7876

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7840

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7746

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7693

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7686

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7627

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7578

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7537

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7510

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7447

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7407

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7350

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7325

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7301

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7186

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7149

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7148

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7140

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7126

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7087

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7042

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7001

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6957

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6924

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6883

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6839

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6805

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6594

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6594

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6526

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6464

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6453

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6444

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6397

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6314

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6310

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6259

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6156

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6119

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5784

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5713

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5706

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5631

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5611

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5597

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5571

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5537

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5256

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5249

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4852

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4770

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4753

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4502

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4431

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4424

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4208

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4081

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3998

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3983

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3928

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3892

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3851

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3767

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3696

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3665

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3660

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3610

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3554

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3462

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3454

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3442

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3401

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3382

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3362

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3316

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3185

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3053

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3016

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3001

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2763

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2636

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2535

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2454

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2399

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2249

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1856

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1788

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1726

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1664

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1619

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1528

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1454

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1333

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1323

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1297

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1163

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1136

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0989

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0830

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0810

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0775

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0733

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0728

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0692

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0556

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0527

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`)