TreeWAS – [C79] Secondary malignant neoplasm 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
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.998	0.002	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.991	0.009	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.991	0.009	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.989	0.011	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.979	0.021	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.964	0.036	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.958	0.042	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.946	0.054	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.945	0.055	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.944	0.056	0.000
rs12444931 lBF = `1.20963` Chr`16` : `7,753,704`	0.939	0.061	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.938	0.062	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.936	0.064	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.932	0.068	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.929	0.071	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.921	0.079	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.920	0.080	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.897	0.103	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.896	0.104	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.883	0.117	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.878	0.122	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.869	0.131	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.864	0.136	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.851	0.149	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.845	0.155	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.843	0.157	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.836	0.164	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.828	0.172	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.825	0.175	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.824	0.176	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.817	0.183	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.804	0.196	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.786	0.214	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.779	0.221	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.769	0.231	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.768	0.232	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.746	0.254	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.740	0.260	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.731	0.269	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.724	0.276	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.723	0.277	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.719	0.280	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.695	0.305	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.689	0.311	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.685	0.315	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.677	0.323	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.670	0.330	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.660	0.340	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.000	0.356	0.644
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.643	0.357	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.622	0.378	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.611	0.389	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.609	0.391	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.602	0.398	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.600	0.400	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.592	0.407	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	0.416	0.584
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.580	0.420	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.556	0.444	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.553	0.447	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.543	0.457	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.542	0.458	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.531	0.469	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.525	0.475	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.500	0.500	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.496	0.503	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.492	0.508	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.474	0.526	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.432	0.568	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.427	0.573	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.420	0.580	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.394	0.606	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.394	0.606	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.385	0.615	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.363	0.637	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.361	0.639	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.000	0.646	0.354
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.342	0.658	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.339	0.661	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.336	0.664	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.331	0.668	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.312	0.688	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.293	0.707	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.287	0.713	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.271	0.729	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.262	0.738	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.258	0.742	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.253	0.747	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.250	0.750	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.248	0.752	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.247	0.753	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.246	0.754	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.229	0.770	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.209	0.791	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.208	0.792	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.206	0.794	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.206	0.794	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.205	0.795	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.196	0.804	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.187	0.813	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.186	0.814	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.182	0.818	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.173	0.827	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.172	0.828	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.169	0.831	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.159	0.841	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.157	0.843	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.154	0.846	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.147	0.853	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.146	0.854	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.144	0.856	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.131	0.869	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.128	0.872	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.124	0.876	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.123	0.877	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.121	0.879	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.115	0.885	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.107	0.892	0.001
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.106	0.893	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.094	0.906	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.078	0.921	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.079	0.921	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.076	0.924	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.076	0.924	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.070	0.930	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.069	0.931	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.067	0.933	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.058	0.942	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.000	0.943	0.057
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.053	0.947	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.052	0.948	0.000
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.000	0.949	0.051
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.048	0.952	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.043	0.956	0.001
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.041	0.959	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	0.960	0.040
rs12927205 lBF = `0.0509957` Chr`16` : `72,025,077`	0.000	0.960	0.040
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.039	0.961	0.001
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.039	0.961	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	0.963	0.037
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.037	0.963	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.034	0.965	0.001
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.034	0.966	0.000
rs1948632 lBF = `-0.084387` Chr`16` : `75,991,446`	0.000	0.968	0.032
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.003	0.969	0.028
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.030	0.969	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.029	0.971	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.028	0.972	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	0.972	0.028
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.023	0.975	0.001
rs2244613 lBF = `0.167206` Chr`16` : `55,844,609`	0.025	0.975	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.023	0.977	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.023	0.977	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.022	0.977	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.022	0.978	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	0.978	0.022
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.021	0.978	0.001
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.020	0.980	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.019	0.981	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.015	0.981	0.004
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.015	0.982	0.003
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.018	0.982	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	0.982	0.018
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.015	0.985	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.013	0.987	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.013	0.987	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.012	0.988	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.012	0.988	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.008	0.989	0.004
rs420259 lBF = `0.101125` Chr`16` : `23,634,026`	0.011	0.989	0.000
rs12928822 lBF = `0.0935872` Chr`16` : `11,403,893`	0.000	0.989	0.011
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.011	0.989	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.010	0.990	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.000	0.990	0.010
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.010	0.990	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.010	0.990	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.010	0.990	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.010	0.990	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.002	0.991	0.008
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.009	0.991	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	0.991	0.009
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.008	0.991	0.001
rs6497441 lBF = `0.233259` Chr`16` : `9,829,848`	0.000	0.992	0.008
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.008	0.992	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.008	0.992	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.007	0.992	0.001
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.008	0.992	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.007	0.992	0.000
rs9933309 lBF = `25.7741` Chr`16` : `88,844,932`	0.007	0.993	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	0.993	0.007
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.993	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	0.993	0.007
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	0.994	0.006
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.006	0.994	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.000	0.994	0.006
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.006	0.994	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	0.995	0.005
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.005	0.995	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.000	0.995	0.005
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.001	0.995	0.004
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	0.995	0.005
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.003	0.995	0.002
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rs2334880 lBF = `-0.0266701` Chr`16` : `71,653,637`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs4787483 lBF = `0.0630491` Chr`16` : `29,885,447`	0.000	1.000	0.000
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.000	1.000	0.000
rs8049367 lBF = `-0.073433` Chr`16` : `3,980,445`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs9934935 lBF = `0.0391536` Chr`16` : `82,704,528`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	1.000	0.000
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs6500602 lBF = `0.0560949` Chr`16` : `4,497,451`	0.000	1.000	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.000	1.000	0.000
rs17213965 lBF = `0.0146115` Chr`16` : `15,881,967`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs464274 lBF = `19.9902` Chr`16` : `89,656,631`	0.000	1.000	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs3925075 lBF = `-0.0836353` Chr`16` : `31,347,748`	0.000	1.000	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.000	1.000	0.000
rs367569 lBF = `0.26583` Chr`16` : `11,365,500`	0.000	1.000	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.000	1.000	0.000
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs12930096 lBF = `-0.0558097` Chr`16` : `11,670,758`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	1.000	0.000
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	1.000	0.000
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.000	1.000	0.000
rs4783227 lBF = `-0.0785829` Chr`16` : `82,594,383`	0.000	1.000	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs7188801 lBF = `-0.0564031` Chr`16` : `86,707,769`	0.000	1.000	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.000	1.000	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.000	1.000	0.000
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	1.000	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs17668704 lBF = `-0.0331721` Chr`16` : `72,257,699`	0.000	1.000	0.000
rs198160 lBF = `-0.0413913` Chr`16` : `24,240,725`	0.000	1.000	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.000	1.000	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	1.000	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs7186128 lBF = `0.0257583` Chr`16` : `16,957,915`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	1.000	0.000
rs13336428 lBF = `-0.0798475` Chr`16` : `1,532,463`	0.000	1.000	0.000
rs8050187 lBF = `-0.0833936` Chr`16` : `79,186,886`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.000	1.000	0.000
rs35538253 lBF = `-0.0210536` Chr`16` : `71,677,975`	0.000	1.000	0.000
rs2178146 lBF = `-0.0496594` Chr`16` : `86,463,695`	0.000	1.000	0.000
rs7194676 lBF = `-0.0614059` Chr`16` : `87,489,891`	0.000	1.000	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	1.000	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.000	1.000	0.000
rs2059238 lBF = `0.248767` Chr`16` : `78,258,810`	0.000	1.000	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	1.000	0.000
rs8057551 lBF = `0.109268` Chr`16` : `27,434,927`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs12446289 lBF = `0.0231972` Chr`16` : `7,903,609`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	1.000	0.000
rs17789174 lBF = `-0.0686163` Chr`16` : `85,103,885`	0.000	1.000	0.000
rs3803680 lBF = `16.4381` Chr`16` : `89,590,243`	0.000	1.000	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	1.000	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs28810 lBF = `0.00524551` Chr`16` : `3,500,515`	0.000	1.000	0.000
rs2541522 lBF = `-0.00790646` Chr`16` : `10,750,548`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs12924650 lBF = `-0.027911` Chr`16` : `71,705,908`	0.000	1.000	0.000
rs12446956 lBF = `-0.0439052` Chr`16` : `73,501,536`	0.000	1.000	0.000
rs2733954 lBF = `-0.0724173` Chr`16` : `85,836,256`	0.000	1.000	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	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 X0097

log Bayes Factor = 96.1227

contains 10 variants

1.0000

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.9995

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7520

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

1.0000

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

1.0000

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

1.0000

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

1.0000

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

1.0000

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

1.0000

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

1.0000

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

1.0000

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

1.0000

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

1.0000

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

1.0000

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

1.0000

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

1.0000

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

1.0000

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

1.0000

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

1.0000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

1.0000

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

1.0000

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

1.0000

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

1.0000

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

1.0000

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

1.0000

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

1.0000

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

1.0000

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

1.0000

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

1.0000

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9999

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9996

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9995

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9993

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9990

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9989

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9986

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9982

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9974

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9963

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9962

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9960

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9959

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9953

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9950

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9945

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9944

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.9921

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9918

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9863

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9855

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9853

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9829

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9822

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9776

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9649

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9619

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9592

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9562

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9506

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9505

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9429

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9295

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9285

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9266

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9230

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9189

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9071

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8987

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8975

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8835

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8658

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8653

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8306

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8015

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7983

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7972

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7969

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7912

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7866

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7812

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7463

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6454

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6295

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6253

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5952

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5815

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4998

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4997

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4779

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4300

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4240

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4065

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4057

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4048

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3952

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3642

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3531

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3366

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3316

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3305

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2948

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2833

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2658

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2446

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2346

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2286

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2253

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1876

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1479

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1350

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1292

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1220

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1215

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1165

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1020

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0945

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0856

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0840

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0790

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0779

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0718

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0666

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0593

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.0519

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)