TreeWAS – [C43.8] Overlapping malignant melanoma of skin

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
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.716	0.284	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.604	0.396	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.519	0.481	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.505	0.495	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.493	0.507	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.481	0.519	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.476	0.524	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.384	0.616	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.365	0.635	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.364	0.636	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.363	0.636	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.361	0.639	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.361	0.639	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.354	0.646	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	0.662	0.337
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.336	0.664	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.334	0.666	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.334	0.666	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.315	0.685	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.305	0.695	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.299	0.701	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.297	0.702	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.295	0.705	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.288	0.712	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.278	0.721	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.274	0.725	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.274	0.726	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.273	0.727	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.272	0.728	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.254	0.745	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.252	0.748	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.249	0.751	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.242	0.755	0.003
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.243	0.757	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.242	0.758	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.240	0.759	0.001
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.236	0.764	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.236	0.764	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.234	0.766	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.232	0.768	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.225	0.775	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.223	0.777	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.208	0.792	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.203	0.796	0.001
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.201	0.799	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.197	0.803	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.185	0.815	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.184	0.816	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.182	0.817	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.182	0.817	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.182	0.818	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.181	0.819	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.179	0.821	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.179	0.821	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.174	0.822	0.004
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.178	0.822	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.173	0.827	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.167	0.833	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.166	0.834	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.166	0.834	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.165	0.835	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.161	0.839	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.160	0.839	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.152	0.848	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.139	0.861	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.131	0.869	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.129	0.871	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.128	0.872	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.125	0.873	0.001
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.125	0.875	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.119	0.880	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.118	0.881	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.118	0.882	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.115	0.884	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.115	0.885	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.112	0.887	0.001
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.111	0.889	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.107	0.893	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.106	0.893	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.096	0.903	0.001
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.092	0.908	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.092	0.908	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.067	0.908	0.024
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.084	0.916	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.080	0.920	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.080	0.920	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.077	0.920	0.003
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.076	0.924	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.075	0.925	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.074	0.926	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.072	0.928	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.072	0.928	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.071	0.928	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.069	0.931	0.001
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.069	0.931	0.001
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.068	0.931	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.068	0.932	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.067	0.932	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.066	0.934	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.065	0.934	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.065	0.935	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.063	0.937	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.062	0.938	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.059	0.941	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.056	0.944	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.054	0.946	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.053	0.947	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.049	0.951	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.049	0.951	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.045	0.954	0.001
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.044	0.956	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.043	0.957	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.040	0.959	0.001
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.039	0.961	0.001
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.039	0.961	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.038	0.962	0.000
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.035	0.965	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.034	0.965	0.001
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.033	0.967	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.032	0.968	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.031	0.968	0.001
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.031	0.969	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.029	0.971	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.027	0.973	0.001
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.027	0.973	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.026	0.974	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.021	0.979	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.021	0.979	0.000
rs2643217 lBF = `0.612596` Chr`15` : `39,003,763`	0.020	0.980	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.019	0.980	0.001
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.017	0.983	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.016	0.984	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.016	0.984	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.016	0.984	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.016	0.984	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.015	0.985	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.015	0.985	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.014	0.986	0.000
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.000	0.986	0.014
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.014	0.986	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.014	0.986	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.013	0.987	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.012	0.988	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.012	0.988	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.012	0.988	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.011	0.989	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.010	0.990	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	0.990	0.010
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.010	0.990	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.009	0.990	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.009	0.991	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.009	0.991	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.009	0.991	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.009	0.991	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.008	0.991	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.008	0.992	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.008	0.992	0.000
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.008	0.992	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.008	0.992	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.008	0.992	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.008	0.992	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.007	0.992	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.008	0.992	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.007	0.992	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.007	0.992	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.007	0.993	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.007	0.993	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.007	0.993	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.007	0.993	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.007	0.993	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.007	0.993	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.993	0.006
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.006	0.994	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.006	0.994	0.001
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.002	0.994	0.004
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.006	0.994	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.006	0.994	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.005	0.994	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.005	0.994	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.005	0.994	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.005	0.995	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.005	0.995	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.005	0.995	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.995	0.000
rs7359257 lBF = `-0.0122994` Chr`15` : `67,702,907`	0.000	0.995	0.005
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.005	0.995	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.005	0.995	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.005	0.995	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.005	0.995	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.005	0.995	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.005	0.995	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.005	0.995	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.005	0.995	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.005	0.995	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.005	0.995	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.005	0.995	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.004	0.995	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.004	0.995	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.004	0.995	0.001
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rs4777989 lBF = `-0.0527191` Chr`15` : `93,006,740`	0.000	0.999	0.000
rs12912233 lBF = `-0.0888088` Chr`15` : `61,267,096`	0.000	0.999	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.000	1.000	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.000	1.000	0.000
rs7178909 lBF = `0.177574` Chr`15` : `90,447,946`	0.000	1.000	0.000
rs1601935 lBF = `0.0461629` Chr`15` : `58,671,765`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs10468017 lBF = `-0.003875` Chr`15` : `58,678,512`	0.000	1.000	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs12591436 lBF = `-0.0585107` Chr`15` : `79,989,186`	0.000	1.000	0.000
rs4778720 lBF = `-0.0829449` Chr`15` : `79,975,647`	0.000	1.000	0.000
rs340025 lBF = `-0.0900066` Chr`15` : `60,908,307`	0.000	1.000	0.000
rs62024995 lBF = `-0.0965659` Chr`15` : `98,712,452`	0.000	1.000	0.000
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.000	1.000	0.000
rs4338740 lBF = `20.272` Chr`15` : `49,735,297`	0.000	1.000	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	1.000	0.000
rs8037790 lBF = `0.0814415` Chr`15` : `92,542,831`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs752092 lBF = `-0.0251904` Chr`15` : `101,781,934`	0.000	1.000	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.000	1.000	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.000	1.000	0.000
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.000	1.000	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.000	1.000	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs1440372 lBF = `0.213928` Chr`15` : `67,033,151`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	1.000	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.000	1.000	0.000
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	1.000	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	1.000	0.000
rs7163013 lBF = `-0.0307682` Chr`15` : `78,698,759`	0.000	1.000	0.000
rs3784609 lBF = `-0.0716229` Chr`15` : `60,910,550`	0.000	1.000	0.000
rs7173964 lBF = `-0.112987` Chr`15` : `62,396,942`	0.000	1.000	0.000
rs8032416 lBF = `-0.124987` Chr`15` : `62,409,070`	0.000	1.000	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	1.000	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	1.000	0.000
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	1.000	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.000	1.000	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	1.000	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	1.000	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	1.000	0.000
rs7163757 lBF = `-0.111887` Chr`15` : `62,391,608`	0.000	1.000	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	1.000	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs2125623 lBF = `0.148037` Chr`15` : `31,829,707`	0.000	1.000	0.000
rs2567426 lBF = `0.13365` Chr`15` : `96,332,861`	0.000	1.000	0.000
rs2305707 lBF = `0.120884` Chr`15` : `51,569,410`	0.000	1.000	0.000
rs1876206 lBF = `0.0962583` Chr`15` : `48,900,586`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	1.000	0.000
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs7173947 lBF = `-0.0210446` Chr`15` : `95,270,467`	0.000	1.000	0.000
rs1568657 lBF = `-0.0477838` Chr`15` : `83,726,179`	0.000	1.000	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	1.000	0.000
rs8034802 lBF = `-0.103335` Chr`15` : `58,724,792`	0.000	1.000	0.000
rs11858159 lBF = `-0.106762` Chr`15` : `24,824,188`	0.000	1.000	0.000
rs17271305 lBF = `-0.109195` Chr`15` : `62,332,980`	0.000	1.000	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.000	1.000	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.000	1.000	0.000
rs79455310 lBF = `13.5183` Chr`15` : `49,439,115`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs2412475 lBF = `0.0764129` Chr`15` : `40,334,576`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.6996

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.5583

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5129

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3159

Cluster X0299

log Bayes Factor = 51.2133

contains 2 variants

0.0642

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7169

Cluster X0115

log Bayes Factor = 32.8753

contains 3 variants

0.7169

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.7169

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.7164

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7163

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.7158

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7147

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7145

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7080

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7017

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7015

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6974

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6928

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6872

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6848

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6686

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6580

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6551

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6427

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6412

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6322

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6313

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6257

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5966

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5955

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5795

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5772

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5691

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5443

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5340

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5263

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5154

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5149

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5143

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5096

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5046

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4913

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.4835

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4525

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4510

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4487

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4278

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3811

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3801

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3709

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3670

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3625

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3414

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3402

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3275

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3161

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3160

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3157

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3152

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3120

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3070

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2998

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2927

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2915

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2882

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2882

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2668

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2488

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2464

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2361

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2294

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2161

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2111

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1967

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1950

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1882

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1874

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1771

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1747

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1726

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1705

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1579

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1512

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1479

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1471

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1444

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1442

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1422

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1422

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1414

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1354

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1353

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1187

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1184

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1163

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1160

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1145

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1142

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1132

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1101

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1078

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1076

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1059

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1051

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1048

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1027

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1018

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1007

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1000

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0976

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0951

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0949

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0919

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0899

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0872

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0853

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0833

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0827

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0797

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0776

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0707

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0705

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0690

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0668

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0644

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0596

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0582

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0569

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0540

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0523

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0502

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`)