TreeWAS – [K13] Other diseases of lip and oral mucosa

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
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.982	0.018	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.910	0.090	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.864	0.136	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.831	0.169	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.824	0.176	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.771	0.229	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.723	0.277	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.705	0.294	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.681	0.319	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.678	0.322	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.672	0.328	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.666	0.334	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.655	0.345	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.619	0.381	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.609	0.391	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.604	0.396	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.602	0.398	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.600	0.400	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.593	0.407	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.587	0.413	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.562	0.438	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.556	0.444	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.555	0.445	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.554	0.446	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.540	0.460	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.537	0.462	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.524	0.476	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.507	0.493	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.494	0.506	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.485	0.515	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.480	0.520	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.415	0.585	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.413	0.587	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.378	0.622	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.337	0.663	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.323	0.677	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.311	0.688	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.306	0.694	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.298	0.702	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.281	0.719	0.001
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.279	0.720	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.276	0.724	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.270	0.730	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.267	0.732	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.264	0.736	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.239	0.760	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.235	0.764	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.233	0.767	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.206	0.794	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.184	0.815	0.001
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.169	0.830	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.164	0.836	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.156	0.843	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.145	0.855	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.139	0.861	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.138	0.862	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.132	0.868	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.122	0.878	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.117	0.883	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.112	0.888	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.104	0.896	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.102	0.898	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.095	0.905	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.090	0.909	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.087	0.913	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.085	0.915	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.083	0.917	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.081	0.919	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.080	0.920	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.078	0.922	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.077	0.923	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.077	0.923	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.076	0.924	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.073	0.926	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.069	0.930	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.069	0.931	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.068	0.932	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.067	0.932	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.064	0.935	0.001
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.064	0.936	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.062	0.937	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.059	0.941	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.057	0.943	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.056	0.943	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.052	0.948	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.049	0.951	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.046	0.954	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.044	0.956	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.044	0.956	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.040	0.960	0.001
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.040	0.960	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.039	0.961	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.036	0.964	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.035	0.964	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.035	0.964	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.036	0.964	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.035	0.965	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.032	0.968	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.027	0.973	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.023	0.977	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.022	0.978	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.022	0.978	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.021	0.979	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.019	0.981	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.019	0.981	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.017	0.983	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.016	0.984	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.015	0.985	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.015	0.985	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.014	0.986	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.012	0.988	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.011	0.989	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.010	0.989	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.010	0.990	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.009	0.990	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.009	0.991	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.008	0.992	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.992	0.008
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.007	0.993	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.007	0.993	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.007	0.993	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.007	0.993	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.006	0.994	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.006	0.994	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.994	0.006
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.005	0.994	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.005	0.995	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.005	0.995	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.004	0.995	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.005	0.995	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.004	0.995	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.004	0.996	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.004	0.996	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.004	0.996	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.004	0.996	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.997	0.003
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	0.997	0.003
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.003	0.997	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.003	0.997	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.003	0.997	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.003	0.997	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.003	0.997	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.003	0.997	0.000
rs2398144 lBF = `-0.104551` Chr`16` : `56,352,854`	0.002	0.998	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.002	0.998	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.998	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.002	0.998	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.000	0.998	0.002
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.001	0.998	0.001
rs464274 lBF = `19.9902` Chr`16` : `89,656,631`	0.000	0.998	0.002
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.002	0.998	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.002	0.998	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.002	0.998	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.002	0.998	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.002	0.998	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.002	0.998	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.998	0.002
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.998	0.000
rs2353030 lBF = `5.24792` Chr`16` : `89,405,827`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.001	0.998	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.002	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.998	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.001	0.998	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.001	0.999	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.001	0.999	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.001	0.999	0.000
rs9932186 lBF = `-0.0871129` Chr`16` : `60,314,656`	0.000	0.999	0.001
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.001	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.001	0.999	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.001	0.999	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs631208 lBF = `-0.0930504` Chr`16` : `9,399,724`	0.001	0.999	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	0.999	0.001
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	0.999	0.001
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.001	0.999	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.001	0.999	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.001	0.999	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.001	0.999	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.001	0.999	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.000	0.999	0.001
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs2965946 lBF = `7.96796` Chr`16` : `89,516,612`	0.001	0.999	0.000
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rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	1.000	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	1.000	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs62026376 lBF = `7.97252` Chr`16` : `11,228,712`	0.000	1.000	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.000	1.000	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	1.000	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs6497441 lBF = `0.233259` Chr`16` : `9,829,848`	0.000	1.000	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.000	1.000	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.000	1.000	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	1.000	0.000
rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.000	1.000	0.000
rs12597084 lBF = `-0.0936541` Chr`16` : `5,819,620`	0.000	1.000	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.000	1.000	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	1.000	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs2863979 lBF = `0.545064` Chr`16` : `68,331,890`	0.000	1.000	0.000
rs2307022 lBF = `0.14837` Chr`16` : `68,381,978`	0.000	1.000	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	1.000	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.000	1.000	0.000
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs35208507 lBF = `11.6407` Chr`16` : `20,388,929`	0.000	1.000	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs3785176 lBF = `0.0152003` Chr`16` : `8,896,931`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs2735413 lBF = `-0.0378154` Chr`16` : `78,053,643`	0.000	1.000	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	0.000	1.000	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	0.000	1.000	0.000
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.000	1.000	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.000	1.000	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.000	1.000	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.000	1.000	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	1.000	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.000	1.000	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	1.000	0.000
rs3112740 lBF = `0.076717` Chr`16` : `7,836,297`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs7184597 lBF = `0.0323666` Chr`16` : `28,921,809`	0.000	1.000	0.000
rs12935422 lBF = `-0.00267497` Chr`16` : `71,664,225`	0.000	1.000	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	1.000	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs2650492 lBF = `-0.0547964` Chr`16` : `28,333,411`	0.000	1.000	0.000
rs1560104 lBF = `-0.072262` Chr`16` : `12,708,208`	0.000	1.000	0.000
rs350245 lBF = `-0.0808621` Chr`16` : `12,200,115`	0.000	1.000	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.000	1.000	0.000
rs12924572 lBF = `14.354` Chr`16` : `89,748,736`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.000	1.000	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	1.000	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	1.000	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.000	1.000	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.000	1.000	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	1.000	0.000
rs8044853 lBF = `0.105468` Chr`16` : `81,457,659`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs4888873 lBF = `0.0198001` Chr`16` : `78,937,138`	0.000	1.000	0.000
rs4087296 lBF = `-0.00751085` Chr`16` : `82,377,781`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9994

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9931

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9850

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9825

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9631

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9541

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9368

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9328

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9195

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8701

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8676

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8161

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8028

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7978

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7909

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7821

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7805

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7799

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7468

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7403

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7290

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7220

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7098

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6972

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6854

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6695

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6667

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6554

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6500

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6470

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6244

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6240

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6192

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6180

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6056

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6023

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6020

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5717

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5692

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5656

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5559

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5547

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5344

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5214

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5189

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5174

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5119

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5030

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4968

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4943

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4939

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4907

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4905

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4874

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4768

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4670

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4531

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4519

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4468

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4379

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4269

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4268

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4204

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4131

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4109

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4107

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4041

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3904

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3858

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3778

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3753

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3744

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3682

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3655

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3537

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3528

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3360

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3266

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3256

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3187

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3161

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3159

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3138

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3117

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3058

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3034

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2960

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2925

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2842

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2834

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2723

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2717

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2695

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2695

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2686

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2682

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2677

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2658

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2651

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2612

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2584

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2554

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2530

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2494

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2489

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2465

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2432

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2413

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2389

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2359

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2338

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2274

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2266

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2240

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2223

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2189

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2136

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2133

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2059

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2023

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2017

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2006

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2004

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1971

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1969

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1886

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1777

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1762

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1755

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1746

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1739

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1730

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1722

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1530

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1266

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1008

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0775

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0760

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0731

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0630

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0568

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0511

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0509

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.

Parent term	K00-K14 Diseases of oral cavity, salivary glands and jaws
Nested terms	K13.0 Diseases of lips K13.1 Cheek and lip biting K13.3 Hairy leukoplakia K13.4 Granuloma and granuloma-like lesions of oral mucosa K13.5 Oral submucous fibrosis K13.6 Irritative hyperplasia of oral mucosa K13.7 Other and unspecified lesions of oral mucosa K13.2 Leukoplakia and other disturbances of oral epithelium, including tongue

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`)