TreeWAS – [C19] Malignant neoplasm of rectosigmoid junction

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
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.999	0.001	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.998	0.002	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.998	0.002	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.957	0.043	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.944	0.056	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.935	0.065	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.934	0.066	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.930	0.070	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.922	0.078	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.892	0.108	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.861	0.139	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.853	0.147	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.851	0.149	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.814	0.186	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.813	0.187	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.813	0.187	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.811	0.189	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.795	0.205	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.792	0.208	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.787	0.213	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.785	0.215	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.780	0.220	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.769	0.231	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.731	0.269	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.720	0.280	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.711	0.289	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.708	0.292	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.703	0.297	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.686	0.314	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.674	0.326	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.667	0.333	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.663	0.336	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.643	0.357	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.635	0.365	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.631	0.369	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.629	0.371	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.613	0.387	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.613	0.387	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.611	0.389	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.609	0.391	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.607	0.392	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.606	0.394	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.605	0.395	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.597	0.403	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.586	0.414	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.580	0.420	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.577	0.423	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.552	0.448	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.551	0.449	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.537	0.463	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.534	0.466	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.527	0.472	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.521	0.479	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.518	0.482	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.502	0.498	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.501	0.499	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.492	0.508	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.481	0.519	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.473	0.527	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.472	0.528	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.471	0.529	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.470	0.530	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.468	0.532	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.467	0.533	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.465	0.535	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.438	0.562	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.410	0.590	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.409	0.590	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.394	0.606	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.371	0.629	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.370	0.629	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.370	0.630	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.358	0.642	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.345	0.655	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.343	0.657	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.322	0.678	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.304	0.696	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.302	0.697	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.291	0.709	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.287	0.713	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.283	0.717	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.278	0.722	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.269	0.730	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.254	0.746	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.235	0.765	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.218	0.782	0.000
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	0.785	0.215
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.212	0.788	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.207	0.793	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.203	0.797	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.197	0.803	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.190	0.810	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.178	0.822	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.163	0.836	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.163	0.837	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.163	0.837	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.162	0.838	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.158	0.841	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.155	0.844	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.153	0.847	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.153	0.847	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.145	0.854	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.145	0.855	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.144	0.856	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.139	0.860	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.128	0.872	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.125	0.875	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.117	0.883	0.000
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.112	0.888	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.105	0.894	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.105	0.895	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.096	0.904	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.095	0.905	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.093	0.907	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.089	0.911	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.077	0.923	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.077	0.923	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.076	0.924	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.075	0.925	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.067	0.933	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.064	0.936	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.063	0.936	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	0.938	0.062
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.050	0.950	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.048	0.952	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.044	0.956	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.041	0.959	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.041	0.959	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	0.960	0.040
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.034	0.965	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.034	0.966	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.031	0.969	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.031	0.969	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.030	0.970	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.029	0.970	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.029	0.971	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.028	0.972	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.028	0.972	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.027	0.973	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.026	0.974	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.025	0.974	0.001
rs17293632 lBF = `21.6143` Chr`15` : `67,442,596`	0.026	0.974	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.024	0.976	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.022	0.978	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.020	0.980	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.019	0.981	0.000
rs56062135 lBF = `22.0047` Chr`15` : `67,455,630`	0.018	0.982	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.017	0.983	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.016	0.984	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.016	0.984	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.014	0.986	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.014	0.986	0.000
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.013	0.987	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.013	0.987	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.013	0.987	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.013	0.987	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.012	0.988	0.000
rs12910412 lBF = `-0.118647` Chr`15` : `94,707,073`	0.000	0.988	0.012
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.012	0.988	0.000
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.000	0.988	0.012
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.011	0.988	0.001
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.003	0.988	0.009
rs1258763 lBF = `3.60508` Chr`15` : `33,050,423`	0.000	0.989	0.011
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.011	0.989	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.011	0.989	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.011	0.989	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.011	0.989	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.011	0.989	0.000
rs72743461 lBF = `21.8932` Chr`15` : `67,441,750`	0.011	0.989	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.011	0.989	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.011	0.989	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.011	0.989	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.011	0.989	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.989	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.010	0.990	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.010	0.990	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.009	0.991	0.000
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	0.009	0.991	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.991	0.008
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.008	0.992	0.000
rs937741 lBF = `-0.116277` Chr`15` : `23,647,411`	0.008	0.992	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.007	0.993	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	0.993	0.007
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.006	0.994	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.006	0.994	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	0.994	0.006
rs28374715 lBF = `-0.0824573` Chr`15` : `41,563,950`	0.000	0.994	0.006
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.005	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.005	0.995	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.005	0.995	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	0.995	0.005
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.004	0.995	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.005	0.995	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.004	0.996	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.996	0.004
rs10152811 lBF = `0.0544045` Chr`15` : `86,854,590`	0.004	0.996	0.000
rs184234 lBF = `0.0529052` Chr`15` : `101,251,719`	0.004	0.996	0.000
rs7162542 lBF = `-0.0291393` Chr`15` : `84,514,290`	0.000	0.996	0.004
rs2033784 lBF = `10.7991` Chr`15` : `67,449,660`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
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rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs4262906 lBF = `-0.0971759` Chr`15` : `86,462,852`	0.000	1.000	0.000
rs1472631 lBF = `-0.130445` Chr`15` : `63,423,739`	0.000	1.000	0.000
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	1.000	0.000
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	1.000	0.000
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	1.000	0.000
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.000	1.000	0.000
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.000	1.000	0.000
rs8043009 lBF = `18.5049` Chr`15` : `78,908,154`	0.000	1.000	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	1.000	0.000
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	1.000	0.000
rs578776 lBF = `12.2576` Chr`15` : `78,888,400`	0.000	1.000	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.000	1.000	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	1.000	0.000
rs893817 lBF = `0.126902` Chr`15` : `74,229,065`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	1.000	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	1.000	0.000
rs2118405 lBF = `-0.00674688` Chr`15` : `96,975,868`	0.000	1.000	0.000
rs6496074 lBF = `-0.123248` Chr`15` : `95,511,837`	0.000	1.000	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.000	1.000	0.000
rs12441354 lBF = `19.2446` Chr`15` : `78,821,016`	0.000	1.000	0.000
rs34664138 lBF = `18.8882` Chr`15` : `78,831,624`	0.000	1.000	0.000
rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	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
rs12439240 lBF = `18.4763` Chr`15` : `78,829,091`	0.000	1.000	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	1.000	0.000
rs9788682 lBF = `16.534` Chr`15` : `78,802,586`	0.000	1.000	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs8037818 lBF = `0.00213416` Chr`15` : `32,927,476`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs2652822 lBF = `-0.130664` Chr`15` : `63,422,772`	0.000	1.000	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	1.000	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.000	1.000	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	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
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.000	1.000	0.000
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	1.000	0.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	1.000	0.000
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.000	1.000	0.000
rs12910984 lBF = `17.509` Chr`15` : `78,891,627`	0.000	1.000	0.000
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs8033195 lBF = `0.010868` Chr`15` : `94,872,686`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.000	1.000	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.000	1.000	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	1.000	0.000
rs938682 lBF = `19.6295` Chr`15` : `78,896,547`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	1.000	0.000
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	1.000	0.000
rs3736485 lBF = `-0.10337` Chr`15` : `51,748,610`	0.000	1.000	0.000
rs1316971 lBF = `7.97472` Chr`15` : `78,930,510`	0.000	1.000	0.000
rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.000	1.000	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.000	1.000	0.000
rs10520045 lBF = `0.0447628` Chr`15` : `36,313,965`	0.000	1.000	0.000
rs964611 lBF = `0.0418836` Chr`15` : `48,597,514`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs7163013 lBF = `-0.0307682` Chr`15` : `78,698,759`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs1439620 lBF = `-0.0717355` Chr`15` : `93,429,646`	0.000	1.000	0.000
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.000	1.000	0.000
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs1352323 lBF = `-0.00755766` Chr`15` : `92,995,641`	0.000	1.000	0.000
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	1.000	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs8192478 lBF = `9.51953` Chr`15` : `78,910,462`	0.000	1.000	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.000	1.000	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	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
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	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 X0317

log Bayes Factor = 95.4365

contains 2 variants

0.9999

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7054

Cluster X0027

log Bayes Factor = 25.8087

contains 2 variants

0.6391

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4143

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.2061

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0252

log Bayes Factor = 170.729

contains 6 variants

1.0000

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

1.0000

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

1.0000

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9996

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9958

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9957

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9920

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9920

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9897

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9865

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9842

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9802

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9721

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9682

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9660

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9591

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9580

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9571

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9536

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9534

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9507

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9324

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9288

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9271

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9258

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9217

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9216

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9196

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8872

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8853

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8834

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8770

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8764

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8425

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8399

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8314

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8229

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8194

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8099

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8085

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8075

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8045

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7997

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7975

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7915

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7680

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7673

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7593

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7555

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7454

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7347

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7310

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7232

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7144

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7060

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7048

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6915

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6796

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6405

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6336

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6198

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6138

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.5980

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5924

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5755

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5619

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5417

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5376

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5266

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5177

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5128

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5106

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5045

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4687

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4638

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4476

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4287

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4240

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.4199

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4175

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3929

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3810

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3790

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3757

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3636

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3622

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3609

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3320

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3316

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3178

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3087

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2950

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2797

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2707

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2584

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2539

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2518

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2474

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2325

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2274

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2272

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2240

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2125

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2078

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2068

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2065

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2036

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1855

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1799

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1641

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1537

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1501

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1481

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1472

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1441

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1420

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1401

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1383

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1338

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1319

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1015

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1007

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1004

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0962

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.0941

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.0696

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0689

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0633

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0571

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0542

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0516

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`)