TreeWAS – [R54] Senility

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
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.947	0.053	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.909	0.091	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.894	0.106	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.812	0.188	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.782	0.218	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.770	0.230	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.717	0.283	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.712	0.288	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.708	0.292	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.698	0.302	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.683	0.316	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.658	0.342	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.656	0.344	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.652	0.348	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.638	0.361	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.625	0.375	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.623	0.377	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.620	0.380	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.585	0.414	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.582	0.418	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.579	0.421	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.533	0.467	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.531	0.468	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.495	0.505	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.485	0.515	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.479	0.521	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.478	0.522	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.430	0.569	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.413	0.587	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.407	0.593	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.370	0.630	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.334	0.665	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.324	0.676	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.294	0.706	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.266	0.734	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.256	0.744	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.243	0.757	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.237	0.762	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.215	0.784	0.001
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.214	0.786	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.213	0.787	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.211	0.789	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.204	0.796	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.197	0.802	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.191	0.809	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.190	0.810	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.179	0.821	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.175	0.825	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.134	0.866	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.133	0.867	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.132	0.868	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.119	0.881	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.118	0.881	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.112	0.888	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.111	0.889	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.093	0.907	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.092	0.907	0.001
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.083	0.917	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.071	0.929	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.069	0.931	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.068	0.932	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.062	0.938	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.061	0.939	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.059	0.941	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.049	0.950	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.046	0.954	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.042	0.958	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.041	0.958	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.040	0.960	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.037	0.963	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.037	0.963	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.035	0.965	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.034	0.966	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.032	0.968	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.024	0.976	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.023	0.976	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.023	0.977	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.022	0.978	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.021	0.979	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.016	0.984	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.016	0.984	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.014	0.986	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.014	0.986	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.013	0.987	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.987	0.013
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.012	0.988	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.009	0.991	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.008	0.992	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.007	0.992	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.007	0.993	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.007	0.993	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.006	0.994	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.006	0.994	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.005	0.995	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.005	0.995	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.005	0.995	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.005	0.995	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.004	0.996	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.004	0.996	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.996	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.003	0.996	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.003	0.997	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.003	0.997	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.003	0.997	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.003	0.997	0.000
rs4076457 lBF = `-0.0184089` Chr`15` : `78,007,213`	0.000	0.997	0.003
rs4984390 lBF = `-0.0722172` Chr`15` : `94,939,508`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.997	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.003	0.997	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.002	0.998	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.002	0.998	0.000
rs11633886 lBF = `-0.0943819` Chr`15` : `46,078,307`	0.000	0.998	0.002
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.002	0.998	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.998	0.002
rs12907914 lBF = `-0.0185925` Chr`15` : `39,315,358`	0.002	0.998	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.002	0.998	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.002	0.998	0.000
rs3743162 lBF = `0.842466` Chr`15` : `85,430,969`	0.000	0.998	0.002
rs7119 lBF = `-0.0367213` Chr`15` : `77,777,632`	0.000	0.998	0.002
rs4218 lBF = `0.0590071` Chr`15` : `59,428,658`	0.002	0.998	0.000
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.000	0.998	0.002
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.998	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs8023580 lBF = `0.411363` Chr`15` : `96,708,291`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.999	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs4468572 lBF = `12.8978` Chr`15` : `79,124,475`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.001
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs7165042 lBF = `13.4045` Chr`15` : `79,123,338`	0.000	0.999	0.001
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	0.999	0.001
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	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
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
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
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
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
rs4984499 lBF = `0.0976222` Chr`15` : `96,647,793`	0.000	0.999	0.001
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs11855415 lBF = `0.257241` Chr`15` : `101,875,123`	0.000	0.999	0.001
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.001	0.999	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.001	0.999	0.000
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	0.999	0.001
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	0.999	0.001
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.000	0.999	0.001
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.999	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	0.999	0.001
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	0.999	0.001
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.001	0.999	0.000
rs7173964 lBF = `-0.112987` Chr`15` : `62,396,942`	0.001	0.999	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.001	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.001
rs7163757 lBF = `-0.111887` Chr`15` : `62,391,608`	0.001	0.999	0.000
rs7172432 lBF = `-0.115795` Chr`15` : `62,396,389`	0.001	0.999	0.000
rs8023401 lBF = `0.0777811` Chr`15` : `48,703,823`	0.000	0.999	0.001
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs4502156 lBF = `-0.119286` Chr`15` : `62,383,155`	0.001	0.999	0.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	0.999	0.001
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.000	0.999	0.001
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rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	1.000	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.000	1.000	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.000	1.000	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	1.000	0.000
rs2934442 lBF = `0.0124256` Chr`15` : `57,762,793`	0.000	1.000	0.000
rs7164883 lBF = `0.0094419` Chr`15` : `73,652,174`	0.000	1.000	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	1.000	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	1.000	0.000
rs7168353 lBF = `-0.0625658` Chr`15` : `93,638,401`	0.000	1.000	0.000
rs7168365 lBF = `-0.106349` Chr`15` : `53,805,825`	0.000	1.000	0.000
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	1.000	0.000
rs8032416 lBF = `-0.124987` Chr`15` : `62,409,070`	0.000	1.000	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	1.000	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	1.000	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	1.000	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.000	1.000	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	1.000	0.000
rs2238300 lBF = `0.00674349` Chr`15` : `89,851,580`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	1.000	0.000
rs2414095 lBF = `-0.0223207` Chr`15` : `51,524,292`	0.000	1.000	0.000
rs12719740 lBF = `-0.0228415` Chr`15` : `99,072,905`	0.000	1.000	0.000
rs1874252 lBF = `-0.0351034` Chr`15` : `38,962,756`	0.000	1.000	0.000
rs9806762 lBF = `-0.0430734` Chr`15` : `88,661,739`	0.000	1.000	0.000
rs2663905 lBF = `-0.0436781` Chr`15` : `81,359,137`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs8041675 lBF = `-0.0735212` Chr`15` : `37,342,602`	0.000	1.000	0.000
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.000	1.000	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.000	1.000	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs1258763 lBF = `3.60508` Chr`15` : `33,050,423`	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
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs6496044 lBF = `0.396601` Chr`15` : `86,067,306`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs8037790 lBF = `0.0814415` Chr`15` : `92,542,831`	0.000	1.000	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.000	1.000	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	1.000	0.000
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.000	1.000	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	1.000	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	1.000	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	1.000	0.000
rs727479 lBF = `-0.023198` Chr`15` : `51,534,547`	0.000	1.000	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	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
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	1.000	0.000
rs35600665 lBF = `-0.100694` Chr`15` : `24,741,291`	0.000	1.000	0.000
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.000	1.000	0.000
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.000	1.000	0.000
rs17271305 lBF = `-0.109195` Chr`15` : `62,332,980`	0.000	1.000	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.000	1.000	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	1.000	0.000
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.000	1.000	0.000
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.000	1.000	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000

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

0.7371

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1179

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1167

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9996

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9980

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9971

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9952

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9925

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9898

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9850

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9841

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9815

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9793

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9745

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9745

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9729

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9626

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9605

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9592

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9559

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9556

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9552

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9525

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9511

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9498

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9483

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9475

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9363

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9302

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9263

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9235

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9218

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9152

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9124

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9114

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9030

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8990

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8927

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8842

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8792

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8662

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8628

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8446

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8343

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8318

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8168

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8139

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7961

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7947

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7828

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7745

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7584

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7257

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6984

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6641

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6438

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6153

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5715

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5699

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5539

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5524

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5354

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5201

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5152

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4913

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4790

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4685

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4367

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4352

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4320

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4217

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4183

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3901

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3794

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3298

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3099

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2977

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2426

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2352

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2079

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2076

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2002

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1910

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1881

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1649

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1461

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1455

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1353

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1327

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1321

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1312

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1254

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1250

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1154

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1082

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0995

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0849

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0781

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0673

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0645

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0534

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`)