TreeWAS – [L02.8] Cutaneous abscess, furuncle and carbuncle of other sites

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
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.668	0.332	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.666	0.333	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.663	0.337	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.662	0.338	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.661	0.339	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.636	0.364	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.607	0.393	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.597	0.403	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	0.452	0.548
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.533	0.467	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.514	0.486	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.507	0.493	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.503	0.497	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.496	0.504	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.493	0.507	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.486	0.513	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.486	0.514	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.466	0.534	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.466	0.534	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.460	0.540	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.455	0.545	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.449	0.551	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.431	0.569	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.427	0.573	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.426	0.574	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.409	0.591	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.406	0.594	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.405	0.594	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.398	0.602	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.398	0.602	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.395	0.605	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.388	0.612	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.386	0.614	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.381	0.619	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.380	0.620	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.380	0.620	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.370	0.629	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.367	0.632	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.366	0.633	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.361	0.638	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.360	0.639	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.351	0.649	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.350	0.650	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.348	0.652	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.345	0.654	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.344	0.656	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.343	0.656	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.337	0.663	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.335	0.665	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.325	0.675	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.319	0.681	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.298	0.702	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.289	0.710	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.288	0.712	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.272	0.728	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.272	0.728	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.263	0.736	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.255	0.745	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.250	0.749	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.248	0.752	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.239	0.761	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.238	0.762	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.236	0.764	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.233	0.766	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.220	0.780	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.209	0.790	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.206	0.794	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.204	0.796	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.203	0.797	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.194	0.805	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.191	0.809	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.188	0.812	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.183	0.817	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.181	0.819	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.174	0.826	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.171	0.829	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.170	0.830	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.161	0.838	0.001
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.160	0.840	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.160	0.840	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.158	0.842	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.148	0.852	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.147	0.852	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.147	0.853	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.143	0.857	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.136	0.864	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.128	0.872	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.123	0.877	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.121	0.879	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.120	0.879	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.111	0.888	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.110	0.890	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.105	0.895	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.102	0.897	0.001
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.094	0.906	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.094	0.906	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.092	0.907	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.090	0.909	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.090	0.910	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.089	0.910	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.080	0.920	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.075	0.924	0.001
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.075	0.925	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.073	0.926	0.001
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.074	0.926	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.071	0.929	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.071	0.929	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.070	0.930	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.068	0.932	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.067	0.933	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.067	0.933	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.066	0.934	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.063	0.937	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.062	0.937	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.060	0.939	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.057	0.942	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.056	0.944	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.052	0.947	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.048	0.952	0.001
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.047	0.953	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.047	0.953	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.043	0.956	0.001
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.041	0.959	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.040	0.960	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.038	0.962	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.038	0.962	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.037	0.963	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.033	0.967	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.033	0.967	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.031	0.968	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.031	0.969	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.029	0.971	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.027	0.973	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.027	0.973	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.027	0.973	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.026	0.973	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.024	0.975	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.022	0.978	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.021	0.978	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.019	0.981	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.017	0.982	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.017	0.983	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.014	0.985	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.013	0.987	0.001
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.012	0.988	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.011	0.989	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.010	0.990	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.010	0.990	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.991	0.009
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.009	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.008	0.991	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.007	0.992	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.007	0.993	0.001
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.007	0.993	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.007	0.993	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.007	0.993	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.006	0.994	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.006	0.994	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.995	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.005	0.995	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.003	0.995	0.002
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.004	0.996	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.004	0.996	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.003	0.996	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.003	0.996	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.003	0.997	0.001
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.003	0.997	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs7178572 lBF = `1.57898` Chr`15` : `77,747,190`	0.003	0.997	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.002	0.997	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.002	0.997	0.001
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	0.998	0.002
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.002	0.998	0.000
rs7167085 lBF = `15.101` Chr`15` : `91,406,188`	0.002	0.998	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.002	0.998	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	0.998	0.002
rs1436955 lBF = `-0.0710419` Chr`15` : `62,404,382`	0.000	0.998	0.002
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.002	0.998	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	0.998	0.001
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.001	0.998	0.000
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.002	0.998	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.001	0.998	0.000
rs4924410 lBF = `0.0702866` Chr`15` : `40,339,494`	0.001	0.998	0.000
rs1455782 lBF = `-0.104629` Chr`15` : `93,050,966`	0.001	0.998	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	0.999	0.001
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.000	0.999	0.001
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	0.999	0.001
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.001	0.999	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	0.999	0.001
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.001	0.999	0.000
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rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs11638450 lBF = `-0.0818818` Chr`15` : `81,190,532`	0.000	1.000	0.000
rs8032416 lBF = `-0.124987` Chr`15` : `62,409,070`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.000	1.000	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	1.000	0.000
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.000	1.000	0.000
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.000	1.000	0.000
rs1665050 lBF = `2.11815` Chr`15` : `59,293,605`	0.000	1.000	0.000
rs2388436 lBF = `0.494634` Chr`15` : `94,689,653`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs4984406 lBF = `0.117383` Chr`15` : `95,268,494`	0.000	1.000	0.000
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs4776997 lBF = `-0.0588064` Chr`15` : `68,150,923`	0.000	1.000	0.000
rs7168353 lBF = `-0.0625658` Chr`15` : `93,638,401`	0.000	1.000	0.000
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.000	1.000	0.000
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs4533251 lBF = `-0.00327195` Chr`15` : `97,262,427`	0.000	1.000	0.000
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.000	1.000	0.000
rs1316971 lBF = `7.97472` Chr`15` : `78,930,510`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.000	1.000	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs10152811 lBF = `0.0544045` Chr`15` : `86,854,590`	0.000	1.000	0.000
rs607541 lBF = `0.0507299` Chr`15` : `45,934,869`	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
rs11074250 lBF = `0.0134865` Chr`15` : `94,631,472`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.000	1.000	0.000
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	1.000	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs2414098 lBF = `-0.0356877` Chr`15` : `51,537,806`	0.000	1.000	0.000
rs1549318 lBF = `-0.0675144` Chr`15` : `71,109,147`	0.000	1.000	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	1.000	0.000
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.000	1.000	0.000
rs11634397 lBF = `-0.082465` Chr`15` : `80,432,222`	0.000	1.000	0.000
rs12903146 lBF = `-0.0838897` Chr`15` : `61,854,663`	0.000	1.000	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	1.000	0.000
rs4338740 lBF = `20.272` Chr`15` : `49,735,297`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.000	1.000	0.000
rs12907866 lBF = `0.0835764` Chr`15` : `51,545,454`	0.000	1.000	0.000
rs8023401 lBF = `0.0777811` Chr`15` : `48,703,823`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs4984460 lBF = `-0.0152318` Chr`15` : `96,424,399`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.000	1.000	0.000
rs12594515 lBF = `-0.0698809` Chr`15` : `45,985,071`	0.000	1.000	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.000	1.000	0.000
rs62024995 lBF = `-0.0965659` Chr`15` : `98,712,452`	0.000	1.000	0.000
rs937741 lBF = `-0.116277` Chr`15` : `23,647,411`	0.000	1.000	0.000
rs4502156 lBF = `-0.119286` Chr`15` : `62,383,155`	0.000	1.000	0.000
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.000	1.000	0.000
rs4932370 lBF = `40.05` Chr`15` : `91,404,705`	0.000	1.000	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.000	1.000	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	1.000	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	1.000	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.000	1.000	0.000
rs2567426 lBF = `0.13365` Chr`15` : `96,332,861`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	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
rs2445762 lBF = `0.0241037` Chr`15` : `51,617,708`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	1.000	0.000
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.000	1.000	0.000
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.000	1.000	0.000
rs17636733 lBF = `-0.0629164` Chr`15` : `25,912,339`	0.000	1.000	0.000
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.000	1.000	0.000
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.000	1.000	0.000
rs2238355 lBF = `-0.0888031` Chr`15` : `92,685,778`	0.000	1.000	0.000
rs12912233 lBF = `-0.0888088` Chr`15` : `61,267,096`	0.000	1.000	0.000
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.000	1.000	0.000
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.000	1.000	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.000	1.000	0.000
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	0.000	1.000	0.000
rs3825807 lBF = `10.7606` Chr`15` : `79,089,111`	0.000	1.000	0.000
rs67175876 lBF = `9.17872` Chr`15` : `78,928,399`	0.000	1.000	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	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

0.5259

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3530

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8397

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8340

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7745

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7511

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.7446

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7214

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7167

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7167

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7161

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7154

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7151

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7147

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7146

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7124

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7076

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7068

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7067

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7066

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7050

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7013

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7010

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7002

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6988

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6941

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6923

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6913

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6913

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6911

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6908

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6901

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6891

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6885

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6880

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6874

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6866

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6863

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6815

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6813

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6781

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6667

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6630

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6567

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6550

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6472

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6390

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6343

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6247

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6225

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6199

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6114

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6088

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6077

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5854

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5837

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5723

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5693

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5650

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5420

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5384

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5356

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5278

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5271

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5258

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5200

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5191

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5157

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5138

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5114

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4891

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4888

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4842

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4819

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4780

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4716

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4408

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4334

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4331

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4302

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4113

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4083

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.4027

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3970

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3927

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3919

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3877

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3649

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3606

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3594

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3521

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3500

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3278

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3268

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.3208

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3115

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3067

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3037

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2879

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2752

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2586

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2408

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2403

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2294

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2255

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2196

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2185

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2153

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2069

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2060

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2038

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1954

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1892

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1864

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1723

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1680

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1660

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1634

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1583

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1471

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1461

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1443

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1390

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1345

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1337

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1292

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1284

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1278

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1114

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1088

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1068

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0967

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0967

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0949

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0925

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0895

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0846

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0838

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0790

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0766

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0759

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0729

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0715

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0694

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0684

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0643

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0641

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0637

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0575

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0557

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0539

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`)