TreeWAS – [C43] 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
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	1.000	0.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	1.000	0.000	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	1.000	0.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	1.000	0.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	1.000	0.000	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	1.000	0.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	1.000	0.000	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	1.000	0.000	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	1.000	0.000	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	1.000	0.000	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	1.000	0.000	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	1.000	0.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	1.000	0.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	1.000	0.000	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	1.000	0.000	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	1.000	0.000	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	1.000	0.000	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	1.000	0.000	0.000
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	1.000	0.000	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	1.000	0.000	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	1.000	0.000	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	1.000	0.000	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	1.000	0.000	0.000
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.000	0.000	1.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	1.000	0.000	0.000
rs11642231 lBF = `17.8952` Chr`16` : `89,608,702`	1.000	0.000	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	1.000	0.000	0.000
rs34753377 lBF = `17.0207` Chr`16` : `89,609,418`	1.000	0.000	0.000
rs4785687 lBF = `16.855` Chr`16` : `89,588,896`	1.000	0.000	0.000
rs3803680 lBF = `16.4381` Chr`16` : `89,590,243`	0.000	0.000	1.000
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.000	0.000	1.000
rs62070320 lBF = `15.294` Chr`16` : `89,573,689`	0.000	0.000	1.000
rs12924572 lBF = `14.354` Chr`16` : `89,748,736`	1.000	0.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	1.000	0.000	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.000	0.000	1.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	1.000	0.000	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	1.000	0.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	1.000	0.000	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.000	0.000	1.000
rs3743860 lBF = `6.57378` Chr`16` : `89,818,491`	1.000	0.000	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	1.000	0.000	0.000
rs2965946 lBF = `7.96796` Chr`16` : `89,516,612`	1.000	0.000	0.000
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	1.000	0.000	0.000
rs3096299 lBF = `5.36096` Chr`16` : `89,448,663`	0.000	0.000	1.000
rs464274 lBF = `19.9902` Chr`16` : `89,656,631`	0.000	0.000	1.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.000	0.000	1.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	0.000	1.000
rs7498985 lBF = `9.80974` Chr`16` : `90,103,117`	1.000	0.000	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	0.000	1.000
rs2353030 lBF = `5.24792` Chr`16` : `89,405,827`	1.000	0.000	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.999	0.001	0.000
rs11076780 lBF = `5.5846` Chr`16` : `89,397,954`	0.999	0.001	0.000
rs11648422 lBF = `8.5436` Chr`16` : `90,105,004`	0.999	0.001	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.998	0.002	0.000
rs164748 lBF = `2.78549` Chr`16` : `89,708,292`	0.000	0.003	0.997
rs154657 lBF = `2.72053` Chr`16` : `89,708,096`	0.000	0.004	0.996
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.987	0.013	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.985	0.015	0.000
rs154659 lBF = `11.5804` Chr`16` : `89,667,337`	0.982	0.018	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	0.033	0.967
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.893	0.107	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.886	0.114	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.882	0.118	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.847	0.153	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.836	0.164	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.822	0.178	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.811	0.189	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.000	0.219	0.781
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.739	0.261	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.738	0.262	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.734	0.266	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.719	0.281	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.710	0.290	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.708	0.292	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.696	0.304	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.653	0.347	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.001	0.388	0.611
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.601	0.398	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.598	0.402	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.596	0.404	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.586	0.414	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.580	0.420	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.578	0.421	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.572	0.428	0.000
rs12449000 lBF = `0.335235` Chr`16` : `89,872,970`	0.570	0.430	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.560	0.440	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.560	0.440	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.559	0.441	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.541	0.459	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.522	0.478	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.514	0.486	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.514	0.486	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.511	0.489	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.502	0.498	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.500	0.500	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.495	0.505	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.491	0.509	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.482	0.517	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.472	0.528	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.467	0.533	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.451	0.549	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.444	0.555	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.427	0.573	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.423	0.577	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.417	0.583	0.001
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.414	0.586	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.411	0.589	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.406	0.594	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.398	0.602	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.386	0.614	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.382	0.618	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.382	0.618	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.378	0.622	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.369	0.631	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.366	0.634	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.357	0.642	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.351	0.649	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.345	0.654	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.334	0.666	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.318	0.682	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.314	0.686	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.307	0.693	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.293	0.707	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.287	0.713	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.284	0.716	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.279	0.721	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	0.721	0.279
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.268	0.732	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.267	0.733	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.267	0.733	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.263	0.737	0.000
rs2086824 lBF = `0.0494884` Chr`16` : `89,471,246`	0.000	0.738	0.262
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.261	0.739	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.255	0.745	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.246	0.754	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.233	0.766	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.233	0.767	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.230	0.770	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.228	0.771	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.225	0.775	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.224	0.775	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.219	0.781	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.218	0.782	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.214	0.785	0.001
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.209	0.791	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.209	0.791	0.001
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.198	0.793	0.009
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.207	0.793	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.202	0.798	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.195	0.804	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.194	0.806	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.186	0.814	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.181	0.819	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.178	0.822	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.176	0.823	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.173	0.827	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.171	0.829	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.164	0.829	0.007
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.160	0.839	0.001
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.157	0.842	0.001
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.158	0.842	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.142	0.858	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.141	0.859	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.138	0.862	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.137	0.863	0.001
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.132	0.868	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.129	0.870	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.121	0.879	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.120	0.880	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.119	0.881	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.114	0.885	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.113	0.887	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.102	0.898	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.099	0.899	0.001
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.099	0.901	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.098	0.902	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.096	0.903	0.001
rs17281813 lBF = `0.294971` Chr`16` : `49,750,790`	0.000	0.905	0.095
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.094	0.906	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.092	0.908	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.090	0.910	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.080	0.920	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.077	0.923	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.075	0.924	0.001
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.072	0.928	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.071	0.929	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.070	0.930	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.064	0.936	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	0.937	0.063
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.062	0.938	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.061	0.939	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.058	0.942	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.055	0.945	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.054	0.946	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.050	0.950	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.047	0.950	0.003
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.046	0.953	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.043	0.956	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.038	0.960	0.002
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.038	0.961	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.002	0.964	0.034
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.035	0.965	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.034	0.966	0.000
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rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs2047937 lBF = `0.174104` Chr`16` : `49,864,791`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs1362756 lBF = `0.00864515` Chr`16` : `51,458,290`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs4888262 lBF = `-0.0746425` Chr`16` : `74,670,458`	0.000	1.000	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs4081947 lBF = `-0.057193` Chr`16` : `87,579,870`	0.000	1.000	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	1.000	0.000
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	1.000	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.000	1.000	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs10521114 lBF = `0.0406485` Chr`16` : `20,089,754`	0.000	1.000	0.000
rs7201408 lBF = `0.0256906` Chr`16` : `20,094,054`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs16944158 lBF = `-0.0260663` Chr`16` : `49,652,779`	0.000	1.000	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	1.000	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	1.000	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.000	1.000	0.000
rs11642377 lBF = `0.0413304` Chr`16` : `20,109,653`	0.000	1.000	0.000
rs12924103 lBF = `0.0410934` Chr`16` : `20,094,546`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs7185264 lBF = `0.0232121` Chr`16` : `20,094,886`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs3925075 lBF = `-0.0836353` Chr`16` : `31,347,748`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs1728785 lBF = `0.341439` Chr`16` : `68,591,230`	0.000	1.000	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.000	1.000	0.000
rs420259 lBF = `0.101125` Chr`16` : `23,634,026`	0.000	1.000	0.000
rs11647507 lBF = `0.0543866` Chr`16` : `20,095,628`	0.000	1.000	0.000
rs10521115 lBF = `0.049886` Chr`16` : `20,090,645`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.000	1.000	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs12149862 lBF = `-0.0166929` Chr`16` : `69,497,203`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs8053728 lBF = `-0.0620872` Chr`16` : `82,485,251`	0.000	1.000	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	1.000	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.000	1.000	0.000
rs28810 lBF = `0.00524551` Chr`16` : `3,500,515`	0.000	1.000	0.000
rs13333054 lBF = `-0.0287458` Chr`16` : `86,011,033`	0.000	1.000	0.000
rs1345467 lBF = `-0.0451933` Chr`16` : `51,482,321`	0.000	1.000	0.000
rs8047014 lBF = `-0.114118` Chr`16` : `69,135,049`	0.000	1.000	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	1.000	0.000
rs529866 lBF = `0.0630112` Chr`16` : `11,373,320`	0.000	1.000	0.000
rs12926729 lBF = `0.0441419` Chr`16` : `20,100,370`	0.000	1.000	0.000
rs11076175 lBF = `0.0104004` Chr`16` : `57,006,378`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.000	1.000	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.000	1.000	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	1.000	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	1.000	0.000
rs4784256 lBF = `0.215364` Chr`16` : `52,814,559`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	1.000	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	1.000	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.000	1.000	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	1.000	0.000
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.000	1.000	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.000	1.000	0.000
rs7499892 lBF = `0.0215668` Chr`16` : `57,006,590`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.000	1.000	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	1.000	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	1.000	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs11074683 lBF = `0.0333802` Chr`16` : `10,349,893`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	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

0.9759

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.7787

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7154

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4405

Cluster X0299

log Bayes Factor = 51.2133

contains 2 variants

0.0893

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0115

log Bayes Factor = 32.8753

contains 3 variants

1.0000

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

1.0000

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

1.0000

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.9993

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9992

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.9985

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9969

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9967

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9876

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9788

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9784

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9728

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9664

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9585

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9552

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9326

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9177

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9138

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8965

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8943

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8818

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8806

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.8728

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8322

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8307

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8083

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8051

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7938

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7592

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7449

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7340

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7189

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7181

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7173

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7107

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7037

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6853

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.6744

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6312

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6291

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6258

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5966

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5315

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5301

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5172

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5118

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5055

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4761

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4744

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4567

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4408

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4407

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4402

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4396

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4351

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4281

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4181

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4082

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4065

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4019

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4018

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3721

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3469

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3436

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3292

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3199

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3013

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2944

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2743

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2719

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2624

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2613

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2469

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2436

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2405

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2377

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2201

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2108

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2062

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2051

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2012

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2010

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1982

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1982

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1970

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1888

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1886

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1653

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1650

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1621

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1616

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1596

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1591

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1578

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1534

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1501

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1499

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1475

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1464

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1460

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1431

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1418

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1403

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1393

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1359

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1324

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1322

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1280

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1253

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1215

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1188

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1160

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1153

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1110

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1080

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0984

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0982

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0960

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0930

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0897

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0830

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0811

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0792

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0752

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0728

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0698

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0651

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0647

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0617

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0612

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0548

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0544

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0544

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0538

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0530

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0525

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0521

Cluster X0019

log Bayes Factor = 372.36

contains 16 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`)