TreeWAS – [L30.9] Dermatitis, 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
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.919	0.081	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.877	0.123	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.786	0.213	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.742	0.258	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.728	0.272	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.689	0.311	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.666	0.334	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.656	0.344	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.611	0.389	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.561	0.439	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.559	0.441	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.551	0.449	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.487	0.513	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.483	0.517	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.478	0.522	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.454	0.546	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.425	0.574	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.413	0.587	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.412	0.588	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.412	0.588	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.407	0.593	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.393	0.606	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.382	0.618	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.381	0.619	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.379	0.621	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.376	0.624	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.374	0.626	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.349	0.651	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.343	0.657	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.337	0.663	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.331	0.668	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.301	0.699	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.291	0.709	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.286	0.714	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.277	0.723	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.273	0.726	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.272	0.728	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.270	0.730	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.266	0.734	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.263	0.737	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.252	0.748	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.243	0.757	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.239	0.761	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.236	0.764	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.236	0.764	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.222	0.777	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.221	0.779	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.216	0.783	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.216	0.784	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.216	0.784	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.211	0.789	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.207	0.792	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.204	0.795	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.204	0.796	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.198	0.801	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.198	0.802	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.194	0.805	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.193	0.807	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.184	0.816	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.182	0.818	0.001
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.176	0.824	0.001
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.172	0.828	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.164	0.836	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.162	0.837	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.162	0.838	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.159	0.841	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.159	0.841	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.158	0.842	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.150	0.850	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.149	0.851	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.140	0.859	0.001
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.139	0.861	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.138	0.862	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.137	0.863	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.136	0.864	0.001
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.134	0.866	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.133	0.866	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.132	0.868	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.130	0.870	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.130	0.870	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.129	0.870	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.127	0.872	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.126	0.874	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.118	0.881	0.001
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.117	0.883	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.111	0.889	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.099	0.901	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.099	0.901	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.095	0.905	0.001
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.095	0.905	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.095	0.905	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.090	0.910	0.001
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.085	0.914	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.084	0.916	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.083	0.917	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.077	0.922	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.076	0.923	0.001
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.074	0.926	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.070	0.930	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.069	0.931	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.068	0.932	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.067	0.932	0.001
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.067	0.932	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.067	0.933	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.067	0.933	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.063	0.936	0.001
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.064	0.936	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.063	0.937	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.061	0.939	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.061	0.939	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.058	0.942	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.057	0.943	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.056	0.944	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.056	0.944	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.053	0.946	0.001
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.052	0.948	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.051	0.949	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.050	0.950	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.050	0.950	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.049	0.951	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.046	0.954	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.045	0.955	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.043	0.955	0.002
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.044	0.956	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.041	0.957	0.002
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.042	0.958	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.042	0.958	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.041	0.959	0.000
rs2289583 lBF = `-0.0314634` Chr`15` : `75,311,036`	0.000	0.962	0.038
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.037	0.963	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.035	0.964	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.035	0.964	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.032	0.968	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.032	0.968	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.032	0.968	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.031	0.969	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.031	0.969	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.030	0.970	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.027	0.972	0.001
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.027	0.973	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.024	0.976	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.023	0.977	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.022	0.977	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.022	0.978	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.022	0.978	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.021	0.978	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.021	0.979	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.019	0.981	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.018	0.982	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.016	0.983	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.015	0.985	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	0.987	0.013
rs12148769 lBF = `-0.024698` Chr`15` : `24,152,094`	0.013	0.987	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.012	0.988	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.010	0.989	0.001
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.991	0.009
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.008	0.991	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.007	0.991	0.001
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	0.992	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.006	0.994	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.005	0.994	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.995	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.005	0.995	0.000
rs4984499 lBF = `0.0976222` Chr`15` : `96,647,793`	0.000	0.995	0.005
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.005	0.995	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.005	0.995	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.005	0.995	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	0.995	0.005
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.996	0.000
rs2643217 lBF = `0.612596` Chr`15` : `39,003,763`	0.000	0.996	0.004
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.003	0.996	0.001
rs3204689 lBF = `0.115405` Chr`15` : `58,246,802`	0.000	0.997	0.003
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	0.997	0.003
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.003	0.997	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.002	0.997	0.001
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	0.997	0.003
rs3784262 lBF = `0.160626` Chr`15` : `58,253,106`	0.000	0.997	0.003
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.003	0.997	0.000
rs11635085 lBF = `-0.0849679` Chr`15` : `93,046,636`	0.000	0.997	0.003
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.002	0.997	0.001
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.997	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	0.997	0.002
rs12441227 lBF = `-0.0289421` Chr`15` : `71,696,886`	0.003	0.997	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.003	0.997	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.002	0.998	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs12148488 lBF = `-0.0718633` Chr`15` : `75,382,542`	0.000	0.998	0.002
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs4533251 lBF = `-0.00327195` Chr`15` : `97,262,427`	0.000	0.998	0.002
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	0.998	0.002
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.002	0.998	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	0.998	0.002
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.002	0.998	0.000
rs8043440 lBF = `0.0114729` Chr`15` : `26,973,086`	0.000	0.998	0.002
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.002	0.998	0.000
rs2238355 lBF = `-0.0888031` Chr`15` : `92,685,778`	0.002	0.998	0.000
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rs3813567 lBF = `9.05806` Chr`15` : `78,934,551`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs4620914 lBF = `0.00350354` Chr`15` : `38,220,391`	0.000	1.000	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	1.000	0.000
rs1077835 lBF = `-0.0112113` Chr`15` : `58,723,426`	0.000	1.000	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.000	1.000	0.000
rs7171869 lBF = `19.4273` Chr`15` : `78,900,909`	0.000	1.000	0.000
rs6495308 lBF = `18.9316` Chr`15` : `78,907,656`	0.000	1.000	0.000
rs8042374 lBF = `18.7395` Chr`15` : `78,908,032`	0.000	1.000	0.000
rs8042059 lBF = `18.7395` Chr`15` : `78,907,859`	0.000	1.000	0.000
rs7177514 lBF = `18.6876` Chr`15` : `78,907,406`	0.000	1.000	0.000
rs8042494 lBF = `18.6762` Chr`15` : `78,908,010`	0.000	1.000	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	1.000	0.000
rs3743162 lBF = `0.842466` Chr`15` : `85,430,969`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.000	1.000	0.000
rs8034004 lBF = `-0.0624985` Chr`15` : `70,798,559`	0.000	1.000	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.000	1.000	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	1.000	0.000
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	1.000	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	1.000	0.000
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs281302 lBF = `-0.0933521` Chr`15` : `47,686,662`	0.000	1.000	0.000
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.000	1.000	0.000
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	1.000	0.000
rs8028313 lBF = `0.549074` Chr`15` : `68,043,057`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs12908161 lBF = `0.0348923` Chr`15` : `85,207,825`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	1.000	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.000	1.000	0.000
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.000	1.000	0.000
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.000	1.000	0.000
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	1.000	0.000
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	0.000	1.000	0.000
rs765787 lBF = `-0.0573734` Chr`15` : `45,500,047`	0.000	1.000	0.000
rs3825932 lBF = `-0.0834112` Chr`15` : `79,235,446`	0.000	1.000	0.000
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	1.000	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	1.000	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	1.000	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs2414739 lBF = `0.0198079` Chr`15` : `61,994,134`	0.000	1.000	0.000
rs1383484 lBF = `0.00814461` Chr`15` : `84,522,755`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs970843 lBF = `-0.0275345` Chr`15` : `98,876,029`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs12915708 lBF = `-0.0366806` Chr`15` : `51,048,602`	0.000	1.000	0.000
rs12913259 lBF = `-0.0449469` Chr`15` : `51,014,716`	0.000	1.000	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	1.000	0.000
rs11638450 lBF = `-0.0818818` Chr`15` : `81,190,532`	0.000	1.000	0.000
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	0.000	1.000	0.000
rs7181447 lBF = `19.7385` Chr`15` : `78,814,567`	0.000	1.000	0.000
rs7181245 lBF = `19.7337` Chr`15` : `78,814,389`	0.000	1.000	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.000	1.000	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs261334 lBF = `0.0183237` Chr`15` : `58,726,744`	0.000	1.000	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	1.000	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	1.000	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.000	1.000	0.000
rs4076457 lBF = `-0.0184089` Chr`15` : `78,007,213`	0.000	1.000	0.000
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	1.000	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	1.000	0.000
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	1.000	0.000
rs12441354 lBF = `19.2446` Chr`15` : `78,821,016`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	1.000	0.000
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.000	1.000	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	1.000	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	1.000	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	1.000	0.000
rs8040009 lBF = `-0.101179` Chr`15` : `93,044,339`	0.000	1.000	0.000
rs11858159 lBF = `-0.106762` Chr`15` : `24,824,188`	0.000	1.000	0.000
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	1.000	0.000
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	1.000	0.000
rs7169584 lBF = `19.7428` Chr`15` : `78,822,660`	0.000	1.000	0.000
rs2036534 lBF = `19.5552` Chr`15` : `78,826,948`	0.000	1.000	0.000
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.000	1.000	0.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	1.000	0.000
rs936229 lBF = `2.72675` Chr`15` : `75,132,319`	0.000	1.000	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs8037818 lBF = `0.00213416` Chr`15` : `32,927,476`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7638

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5017

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.9999

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9684

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9469

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9460

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9269

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9100

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8952

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8725

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8589

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.8564

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8376

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7891

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7850

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7169

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6545

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6333

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6261

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5822

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5569

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5363

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5296

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4676

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4632

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4606

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3957

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3892

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3595

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3091

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2904

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2838

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2561

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2295

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1980

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1956

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1940

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1774

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1724

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1678

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1543

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1523

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1433

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1371

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1367

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1240

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1195

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1138

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1107

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1076

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1013

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1001

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0878

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0858

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0837

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0777

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0678

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0623

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0623

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0579

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0513

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`)