TreeWAS – [K06] Other disorders of gingiva and edentulous alveolar ridge

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
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.708	0.292	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.703	0.297	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.684	0.316	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.677	0.322	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.677	0.323	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.670	0.330	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.663	0.337	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.659	0.341	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.659	0.341	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.658	0.342	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.649	0.351	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.647	0.353	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.635	0.364	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.610	0.389	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.607	0.393	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.603	0.397	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.599	0.401	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.593	0.407	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.585	0.414	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.570	0.430	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.565	0.435	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.554	0.446	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.552	0.448	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.548	0.452	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.546	0.454	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.540	0.460	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.530	0.470	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.523	0.477	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.522	0.477	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.507	0.493	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.495	0.505	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.466	0.534	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.460	0.540	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.438	0.562	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.405	0.594	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.370	0.630	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.349	0.651	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.341	0.659	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.341	0.659	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.336	0.664	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.331	0.669	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.315	0.684	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.302	0.698	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.292	0.708	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.288	0.712	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.285	0.715	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.277	0.723	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.276	0.724	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.268	0.731	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.239	0.760	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.200	0.800	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.194	0.806	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.169	0.830	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.165	0.835	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.163	0.837	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.162	0.838	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.160	0.839	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.156	0.843	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.146	0.854	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.137	0.863	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.136	0.864	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.123	0.877	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.118	0.882	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.116	0.884	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.115	0.885	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.110	0.890	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.103	0.897	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.101	0.899	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.100	0.900	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.100	0.900	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.098	0.902	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.095	0.905	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.090	0.910	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.082	0.917	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.078	0.922	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.078	0.922	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.078	0.922	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.077	0.923	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.073	0.927	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.071	0.929	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.070	0.929	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`	0.066	0.934	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.063	0.937	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.058	0.942	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.055	0.945	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.055	0.945	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.055	0.945	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.054	0.946	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.051	0.949	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.050	0.950	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.050	0.950	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.046	0.954	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.043	0.957	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.041	0.959	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.038	0.962	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.037	0.963	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`	0.034	0.966	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.031	0.969	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.029	0.971	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.022	0.978	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.022	0.978	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.020	0.979	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.019	0.980	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.019	0.981	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.018	0.982	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.017	0.983	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.017	0.983	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.016	0.984	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.015	0.985	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.014	0.986	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.013	0.987	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.009	0.990	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.009	0.990	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.009	0.991	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.008	0.991	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.008	0.992	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.008	0.992	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.008	0.992	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.008	0.992	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.007	0.993	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.006	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.006	0.994	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.994	0.005
rs12932018 lBF = `-0.0504867` Chr`16` : `84,796,603`	0.006	0.994	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.005	0.995	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.005	0.995	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.005	0.995	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.005	0.995	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.004	0.995	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.004	0.996	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.996	0.004
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.004	0.996	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.003	0.997	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.997	0.003
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.000	0.997	0.003
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.003	0.997	0.000
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.003	0.997	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs2041733 lBF = `-0.0453516` Chr`16` : `11,229,589`	0.000	0.997	0.003
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.003	0.997	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.003	0.997	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.002	0.997	0.000
rs8060598 lBF = `0.44141` Chr`16` : `50,781,802`	0.003	0.997	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.002	0.997	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.002	0.998	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.002	0.998	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.002	0.998	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs26528 lBF = `0.611624` Chr`16` : `28,517,709`	0.002	0.998	0.000
rs7359397 lBF = `1.47495` Chr`16` : `28,885,659`	0.002	0.998	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.002	0.998	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.998	0.000
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.002	0.998	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.002	0.998	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.002	0.998	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.002	0.998	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.998	0.002
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.002	0.998	0.000
rs17550532 lBF = `0.0223653` Chr`16` : `9,744,095`	0.002	0.998	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.002	0.998	0.000
rs7198849 lBF = `-0.0286209` Chr`16` : `11,373,301`	0.002	0.998	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.002	0.998	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	0.998	0.002
rs7200786 lBF = `0.171329` Chr`16` : `11,177,801`	0.000	0.998	0.002
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.001	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.001	0.998	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.998	0.000
rs11074782 lBF = `-0.113182` Chr`16` : `26,505,011`	0.001	0.998	0.000
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
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.001	0.999	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.001	0.999	0.000
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.001	0.999	0.000
rs416603 lBF = `0.0624644` Chr`16` : `11,364,079`	0.000	0.999	0.001
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.001	0.999	0.000
rs444881 lBF = `0.289729` Chr`16` : `83,771,496`	0.001	0.999	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.001	0.999	0.000
rs3096277 lBF = `-0.0620276` Chr`16` : `83,764,204`	0.001	0.999	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.001	0.999	0.000
rs2650492 lBF = `-0.0547964` Chr`16` : `28,333,411`	0.001	0.999	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.001	0.999	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.001	0.999	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.001	0.999	0.000
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.001	0.999	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.999	0.000
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rs4788815 lBF = `0.00548933` Chr`16` : `71,634,811`	0.000	1.000	0.000
rs12931939 lBF = `0.00334916` Chr`16` : `20,060,830`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs11646411 lBF = `-0.00426655` Chr`16` : `82,746,937`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs300032 lBF = `-0.0533811` Chr`16` : `86,680,996`	0.000	1.000	0.000
rs4783227 lBF = `-0.0785829` Chr`16` : `82,594,383`	0.000	1.000	0.000
rs746080 lBF = `-0.101673` Chr`16` : `84,274,405`	0.000	1.000	0.000
rs12708980 lBF = `-0.122958` Chr`16` : `57,012,379`	0.000	1.000	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	1.000	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	1.000	0.000
rs3803680 lBF = `16.4381` Chr`16` : `89,590,243`	0.000	1.000	0.000
rs62070320 lBF = `15.294` Chr`16` : `89,573,689`	0.000	1.000	0.000
rs11648422 lBF = `8.5436` Chr`16` : `90,105,004`	0.000	1.000	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs11641184 lBF = `0.49443` Chr`16` : `11,704,651`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs821470 lBF = `-0.01652` Chr`16` : `57,058,582`	0.000	1.000	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	1.000	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs7185940 lBF = `8.01101` Chr`16` : `20,410,488`	0.000	1.000	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	1.000	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.000	1.000	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.000	1.000	0.000
rs40129 lBF = `0.230139` Chr`16` : `9,438,692`	0.000	1.000	0.000
rs4784256 lBF = `0.215364` Chr`16` : `52,814,559`	0.000	1.000	0.000
rs8051149 lBF = `0.170541` Chr`16` : `87,878,822`	0.000	1.000	0.000
rs1478693 lBF = `0.0331999` Chr`16` : `7,164,219`	0.000	1.000	0.000
rs7190997 lBF = `0.0229797` Chr`16` : `31,368,178`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs7204439 lBF = `-0.00702572` Chr`16` : `661,335`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs16944158 lBF = `-0.0260663` Chr`16` : `49,652,779`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs17111 lBF = `9.12903` Chr`16` : `84,857,244`	0.000	1.000	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs4780805 lBF = `0.251748` Chr`16` : `19,404,645`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	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
rs71386933 lBF = `-0.0153866` Chr`16` : `71,821,800`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.000	1.000	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	1.000	0.000
rs377457 lBF = `-0.0788817` Chr`16` : `85,735,652`	0.000	1.000	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	1.000	0.000
rs464274 lBF = `19.9902` Chr`16` : `89,656,631`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.000	1.000	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	1.000	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	1.000	0.000
rs56213767 lBF = `0.62151` Chr`16` : `15,379,572`	0.000	1.000	0.000
rs367569 lBF = `0.26583` Chr`16` : `11,365,500`	0.000	1.000	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs2062541 lBF = `0.12448` Chr`16` : `16,127,235`	0.000	1.000	0.000
rs1541692 lBF = `0.0555124` Chr`16` : `79,608,692`	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 X0261

log Bayes Factor = 420.614

contains 20 variants

0.9946

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9945

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9943

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9773

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9770

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9759

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9707

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9706

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9698

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9693

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9653

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9544

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9525

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9513

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9498

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9483

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9479

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9430

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9368

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9315

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9300

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9299

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9291

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9282

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9181

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9161

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9155

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9149

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9123

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9102

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9087

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9056

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9033

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8915

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8892

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8888

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8875

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8873

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8815

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8718

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8703

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8699

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8683

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8673

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8664

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8634

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8631

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8616

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8603

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8557

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8556

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8519

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8501

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8428

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8412

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8389

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8384

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8374

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8327

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8312

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8287

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8267

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8178

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8132

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8125

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8097

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8031

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8008

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7987

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7958

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7931

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7919

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7836

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7811

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7798

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7782

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7759

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7735

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7716

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7715

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7682

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7660

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7579

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7576

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7538

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7535

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7530

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7520

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7503

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7484

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7431

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7395

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7385

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7334

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7309

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7290

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7195

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7144

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7143

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7098

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7034

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6973

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6952

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6928

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6827

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6732

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6702

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6670

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6618

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6569

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6554

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6329

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6297

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6270

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6256

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6160

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.6120

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6079

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5832

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5720

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5719

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5664

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5453

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5382

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5216

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5113

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5042

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5024

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4971

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4959

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4957

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4800

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4382

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3374

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3137

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2987

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2321

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2123

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1667

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1576

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1426

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0868

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0829

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0701

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0661

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0648

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0558

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	K06.0 Gingival recession K06.1 Gingival enlargement K06.2 Gingival and edentulous alveolar ridge lesions associated with trauma K06.8 Other specified disorders of gingiva and edentulous alveolar ridge K06.9 Disorder of gingiva and edentulous alveolar ridge, unspecified

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`)