TreeWAS – [F31.9] Bipolar affective disorder, unspecified

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
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.942	0.058	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.852	0.148	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.834	0.166	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.828	0.172	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.817	0.183	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.793	0.207	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.759	0.241	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.722	0.278	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.711	0.289	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.707	0.293	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.701	0.299	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.689	0.311	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.679	0.321	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.638	0.362	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.637	0.363	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.627	0.373	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.624	0.376	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.622	0.378	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.620	0.380	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.618	0.382	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.588	0.412	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.580	0.420	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.576	0.424	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.574	0.426	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.571	0.429	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.568	0.432	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.565	0.435	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.518	0.482	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.504	0.496	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.502	0.498	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.487	0.513	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.485	0.515	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.465	0.535	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	0.535	0.465
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.448	0.552	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.446	0.554	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.446	0.554	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.438	0.562	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.417	0.583	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.413	0.587	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.411	0.589	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.410	0.590	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.409	0.590	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.405	0.595	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.405	0.595	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.395	0.605	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.387	0.613	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.384	0.615	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.380	0.620	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.374	0.626	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.348	0.652	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.347	0.652	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.339	0.660	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.338	0.662	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.329	0.671	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.329	0.671	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.327	0.673	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.326	0.674	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.320	0.680	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.313	0.687	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.312	0.688	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.307	0.693	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.303	0.696	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.302	0.698	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.296	0.704	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.293	0.706	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.291	0.708	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.285	0.715	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.284	0.716	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.280	0.720	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.279	0.721	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.275	0.725	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.270	0.730	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.266	0.734	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.248	0.752	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.234	0.766	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.233	0.766	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.231	0.768	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.229	0.771	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.228	0.772	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.227	0.773	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.223	0.776	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.217	0.783	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.212	0.787	0.001
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.212	0.787	0.000
rs8023401 lBF = `0.0777811` Chr`15` : `48,703,823`	0.198	0.802	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.196	0.804	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.193	0.807	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.192	0.808	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.192	0.808	0.000
rs184234 lBF = `0.0529052` Chr`15` : `101,251,719`	0.190	0.810	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.176	0.823	0.001
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.175	0.825	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.173	0.827	0.000
rs1876206 lBF = `0.0962583` Chr`15` : `48,900,586`	0.000	0.832	0.168
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.166	0.834	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.165	0.835	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.162	0.837	0.001
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.160	0.840	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.156	0.844	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.154	0.846	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.150	0.850	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.149	0.850	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.145	0.854	0.001
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.144	0.855	0.001
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.143	0.857	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.137	0.862	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.135	0.864	0.001
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.132	0.868	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.126	0.874	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.126	0.874	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.125	0.874	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.119	0.881	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.118	0.881	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.118	0.882	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.110	0.889	0.001
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.000	0.892	0.108
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.106	0.893	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.106	0.894	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.099	0.900	0.001
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.099	0.901	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.096	0.904	0.000
rs4887057 lBF = `21.4579` Chr`15` : `78,760,918`	0.094	0.906	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.090	0.910	0.000
rs12593229 lBF = `23.234` Chr`15` : `78,765,290`	0.000	0.911	0.089
rs13180 lBF = `20.7136` Chr`15` : `78,789,488`	0.089	0.911	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.088	0.912	0.000
rs12592111 lBF = `20.7266` Chr`15` : `78,767,346`	0.000	0.913	0.087
rs8042238 lBF = `21.0848` Chr`15` : `78,774,271`	0.087	0.913	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.085	0.915	0.000
rs4299116 lBF = `23.1218` Chr`15` : `78,766,194`	0.000	0.915	0.085
rs4362358 lBF = `23.1905` Chr`15` : `78,796,104`	0.000	0.916	0.084
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.083	0.917	0.001
rs1504549 lBF = `23.3155` Chr`15` : `78,766,629`	0.000	0.917	0.083
rs36146269 lBF = `23.2878` Chr`15` : `78,779,510`	0.000	0.917	0.083
rs4887059 lBF = `23.2298` Chr`15` : `78,782,095`	0.000	0.918	0.082
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.081	0.918	0.000
rs965604 lBF = `23.272` Chr`15` : `78,789,223`	0.000	0.919	0.081
rs12594711 lBF = `23.1532` Chr`15` : `78,793,921`	0.000	0.919	0.081
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.081	0.919	0.000
rs8043227 lBF = `23.5612` Chr`15` : `78,768,871`	0.000	0.919	0.081
rs12916801 lBF = `23.5612` Chr`15` : `78,769,130`	0.000	0.919	0.081
rs11637656 lBF = `23.7386` Chr`15` : `78,751,961`	0.000	0.920	0.080
rs12910910 lBF = `23.6547` Chr`15` : `78,767,850`	0.000	0.920	0.080
rs8042260 lBF = `23.6429` Chr`15` : `78,774,374`	0.000	0.920	0.080
rs12899351 lBF = `23.481` Chr`15` : `78,792,398`	0.000	0.923	0.077
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.073	0.927	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.072	0.927	0.001
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.067	0.933	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.062	0.938	0.001
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.061	0.939	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.057	0.940	0.003
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.057	0.943	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.054	0.945	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.053	0.946	0.001
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.052	0.948	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.051	0.949	0.000
rs12903295 lBF = `23.0086` Chr`15` : `78,778,972`	0.000	0.951	0.049
rs1062980 lBF = `21.6264` Chr`15` : `78,792,527`	0.049	0.951	0.000
rs12904234 lBF = `23.0302` Chr`15` : `78,779,384`	0.000	0.951	0.049
rs1964678 lBF = `20.5711` Chr`15` : `78,754,000`	0.047	0.953	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.046	0.954	0.000
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	0.045	0.955	0.000
rs4932370 lBF = `40.05` Chr`15` : `91,404,705`	0.000	0.957	0.043
rs12908161 lBF = `0.0348923` Chr`15` : `85,207,825`	0.000	0.963	0.037
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.036	0.964	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.035	0.965	0.000
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.030	0.970	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.027	0.970	0.003
rs12903285 lBF = `23.1095` Chr`15` : `78,778,953`	0.000	0.970	0.030
rs11630290 lBF = `-0.0707247` Chr`15` : `63,915,786`	0.030	0.970	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.029	0.971	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.027	0.972	0.001
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.027	0.972	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.027	0.973	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.026	0.973	0.001
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.022	0.977	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.022	0.978	0.000
rs3784262 lBF = `0.160626` Chr`15` : `58,253,106`	0.019	0.981	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.018	0.982	0.000
rs2562784 lBF = `-0.044072` Chr`15` : `84,286,492`	0.000	0.984	0.016
rs7167085 lBF = `15.101` Chr`15` : `91,406,188`	0.015	0.985	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.015	0.985	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.014	0.986	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.012	0.987	0.001
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.987	0.013
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.013	0.987	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.012	0.987	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.011	0.989	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.010	0.989	0.000
rs7164569 lBF = `-0.0110508` Chr`15` : `31,793,930`	0.000	0.990	0.010
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.010	0.990	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.000	0.991	0.009
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.991	0.000
rs12591436 lBF = `-0.0585107` Chr`15` : `79,989,186`	0.000	0.992	0.008
rs4533267 lBF = `0.0106736` Chr`15` : `100,786,271`	0.000	0.992	0.008
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.008	0.992	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.008	0.992	0.000
rs2445762 lBF = `0.0241037` Chr`15` : `51,617,708`	0.008	0.992	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.008	0.992	0.000
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rs607541 lBF = `0.0507299` Chr`15` : `45,934,869`	0.001	0.999	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.001	0.999	0.000
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.000	0.999	0.001
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	0.999	0.001
rs12907914 lBF = `-0.0185925` Chr`15` : `39,315,358`	0.000	0.999	0.001
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.001	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.000
rs11330240 lBF = `53.4098` Chr`15` : `91,428,521`	0.000	0.999	0.001
rs2351491 lBF = `0.0202389` Chr`15` : `89,398,105`	0.000	0.999	0.001
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.001	0.999	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.001	0.999	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.001	0.999	0.000
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.001	0.999	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	0.999	0.001
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.001	0.999	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	0.999	0.001
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.000	0.999	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.000	0.999	0.001
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	0.999	0.001
rs72743461 lBF = `21.8932` Chr`15` : `67,441,750`	0.001	0.999	0.000
rs11072783 lBF = `11.6644` Chr`15` : `78,965,966`	0.001	0.999	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	0.999	0.001
rs2553218 lBF = `-0.0759874` Chr`15` : `54,868,668`	0.001	0.999	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.000	0.999	0.001
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.000	0.999	0.001
rs7165042 lBF = `13.4045` Chr`15` : `79,123,338`	0.001	0.999	0.000
rs12441664 lBF = `1.2249` Chr`15` : `97,714,534`	0.001	0.999	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	0.999	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	0.999	0.001
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.000	0.999	0.001
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.000	0.999	0.001
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.000	0.999	0.001
rs6497031 lBF = `-0.0199263` Chr`15` : `93,713,666`	0.001	0.999	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.001	0.999	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.000	0.999	0.001
rs951984 lBF = `16.3665` Chr`15` : `78,720,915`	0.000	0.999	0.001
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.000	0.999	0.001
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.001	0.999	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.000	0.999	0.001
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.000	0.999	0.001
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.000	0.999	0.001
rs56062135 lBF = `22.0047` Chr`15` : `67,455,630`	0.001	0.999	0.000
rs2219939 lBF = `18.5789` Chr`15` : `79,029,723`	0.000	0.999	0.001
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.000	0.999	0.001
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	0.999	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.000	0.999	0.001
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.000	0.999	0.001
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.000	0.999	0.001
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.000	0.999	0.001
rs8039600 lBF = `13.0655` Chr`15` : `78,990,300`	0.001	0.999	0.000
rs11071200 lBF = `0.142672` Chr`15` : `55,950,082`	0.001	0.999	0.000
rs1814880 lBF = `17.4442` Chr`15` : `79,021,140`	0.001	0.999	0.000
rs2777491 lBF = `-0.053517` Chr`15` : `41,735,710`	0.000	0.999	0.001
rs7168365 lBF = `-0.106349` Chr`15` : `53,805,825`	0.000	0.999	0.001
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	0.999	0.001
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	0.999	0.001
rs17293632 lBF = `21.6143` Chr`15` : `67,442,596`	0.001	0.999	0.000
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.000	0.999	0.001
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.000	0.999	0.001
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.999	0.000
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.000	0.999	0.001
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.000	0.999	0.001
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.000	0.999	0.001
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	0.001	0.999	0.000
rs1038094 lBF = `-0.0674252` Chr`15` : `74,012,437`	0.001	0.999	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	0.999	0.000
rs4886707 lBF = `0.386535` Chr`15` : `75,755,467`	0.000	0.999	0.001
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	0.999	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	0.999	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.001	0.999	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	0.999	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.001	0.999	0.000
rs4777542 lBF = `-0.0815888` Chr`15` : `73,082,366`	0.000	0.999	0.001
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.000	0.999	0.001
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.000	0.999	0.001
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.000	0.999	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.000	0.999	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.001	0.999	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	0.999	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.000	0.999	0.000
rs7164727 lBF = `-0.0740418` Chr`15` : `73,093,991`	0.001	0.999	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	0.999	0.001
rs8024939 lBF = `5.37334` Chr`15` : `79,049,237`	0.001	0.999	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.999	0.000
rs8034802 lBF = `-0.103335` Chr`15` : `58,724,792`	0.001	0.999	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs340029 lBF = `-0.0381864` Chr`15` : `60,894,965`	0.000	1.000	0.000
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.000	1.000	0.000
rs2043085 lBF = `-0.101826` Chr`15` : `58,680,954`	0.000	1.000	0.000
rs11072800 lBF = `17.702` Chr`15` : `79,045,857`	0.000	1.000	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	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 X0260

log Bayes Factor = 16.5601

contains 2 variants

0.3446

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1975

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1653

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.9999

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9995

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9987

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9982

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9977

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9972

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9928

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9920

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9887

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9816

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9800

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9778

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9707

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9661

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9650

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9633

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9625

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9491

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9405

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9394

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9239

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9201

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9180

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9180

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.8977

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8907

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8891

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8871

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8798

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8777

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8777

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8526

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8366

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8141

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8002

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7869

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7828

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7805

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7795

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7407

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6974

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6853

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6831

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6624

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6514

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6449

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6383

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6344

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6329

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6269

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6133

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6110

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6095

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6036

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5976

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5910

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5610

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5478

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5285

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.5281

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5266

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5133

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5080

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5011

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4919

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4769

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4507

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4436

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4338

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4292

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4063

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3977

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3953

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3793

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3650

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3633

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3469

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3360

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3261

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3239

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3194

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3145

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3107

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2987

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2904

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2903

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2900

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2898

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.2684

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2562

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2512

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2364

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2228

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2196

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2145

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2013

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1995

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1957

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1945

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1943

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1846

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1789

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1756

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1617

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1540

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1538

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1518

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1505

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1468

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1462

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1216

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1178

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1113

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1096

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1084

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1047

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0977

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0958

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0957

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0935

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0904

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0859

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0810

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0804

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0786

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0763

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0759

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0751

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0626

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0621

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0585

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0519

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`)