TreeWAS – [K09] Cysts of oral region, not elsewhere classified

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`	0.935	0.065	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.795	0.205	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.763	0.237	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.738	0.262	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.711	0.289	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.699	0.300	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.693	0.307	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.675	0.325	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.675	0.325	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.670	0.330	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
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.657	0.343	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.635	0.364	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.634	0.365	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.634	0.366	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.612	0.388	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.610	0.389	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.585	0.415	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.584	0.416	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.581	0.419	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.565	0.435	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.565	0.435	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.552	0.448	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`	0.521	0.479	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.520	0.480	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
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.476	0.524	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.474	0.526	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.453	0.547	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.439	0.561	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.405	0.594	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.402	0.597	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.389	0.611	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.372	0.628	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.341	0.659	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.340	0.660	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.333	0.666	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.330	0.670	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.322	0.678	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.302	0.698	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.301	0.699	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.292	0.708	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.286	0.714	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.276	0.724	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.267	0.733	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.259	0.741	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.247	0.753	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.239	0.760	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.199	0.801	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.194	0.806	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.179	0.821	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
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.159	0.841	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.158	0.842	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.147	0.853	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.140	0.860	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.137	0.863	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.134	0.866	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.134	0.866	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.130	0.869	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.123	0.877	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.117	0.883	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.101	0.899	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.100	0.900	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.099	0.901	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.097	0.902	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.095	0.905	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.095	0.905	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.090	0.910	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.080	0.920	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
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	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
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.059	0.940	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.056	0.944	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.055	0.945	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.055	0.945	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.055	0.945	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.050	0.950	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.049	0.951	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.047	0.953	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.045	0.955	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.045	0.955	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.040	0.960	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.040	0.960	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.038	0.962	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.038	0.962	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.034	0.965	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.034	0.966	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.030	0.970	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.025	0.975	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.022	0.978	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.021	0.979	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.021	0.979	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.019	0.981	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.018	0.981	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.017	0.982	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.016	0.983	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.016	0.984	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.015	0.984	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.013	0.987	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.012	0.988	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.011	0.988	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.009	0.990	0.000
rs11644601 lBF = `0.424659` Chr`16` : `15,172,118`	0.009	0.991	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.009	0.991	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.009	0.991	0.000
rs1541692 lBF = `0.0555124` Chr`16` : `79,608,692`	0.009	0.991	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.008	0.991	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.008	0.992	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.007	0.992	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.007	0.993	0.000
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.007	0.993	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.006	0.993	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.006	0.993	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	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
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.006	0.994	0.000
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	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
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.005	0.995	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.005	0.995	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.995	0.005
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.004	0.996	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.004	0.996	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.004	0.996	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.000	0.996	0.004
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.004	0.996	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.997	0.003
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	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
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.003	0.997	0.000
rs8061903 lBF = `-0.0247667` Chr`16` : `9,382,329`	0.000	0.997	0.003
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.003	0.997	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.003	0.997	0.000
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.000	0.997	0.003
rs1344484 lBF = `-0.110815` Chr`16` : `52,912,299`	0.000	0.997	0.003
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.003	0.997	0.000
rs17550532 lBF = `0.0223653` Chr`16` : `9,744,095`	0.003	0.997	0.000
rs11648796 lBF = `-0.0731797` Chr`16` : `792,190`	0.000	0.997	0.003
rs17111 lBF = `9.12903` Chr`16` : `84,857,244`	0.000	0.997	0.003
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.002	0.998	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.002	0.998	0.000
rs1477196 lBF = `7.90626` Chr`16` : `53,808,258`	0.000	0.998	0.002
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
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.998	0.002
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.002	0.998	0.000
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.002	0.998	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.002	0.998	0.000
rs3743832 lBF = `0.00130723` Chr`16` : `9,213,880`	0.000	0.998	0.002
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs3785176 lBF = `0.0152003` Chr`16` : `8,896,931`	0.000	0.998	0.002
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.001	0.998	0.000
rs12149074 lBF = `0.0293647` Chr`16` : `80,105,866`	0.000	0.998	0.002
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
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.001	0.998	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.998	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	0.999	0.001
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	0.999	0.001
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.001	0.999	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
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.001	0.999	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.999	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.001	0.999	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.001	0.999	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.001	0.999	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.001	0.999	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.001	0.999	0.000
rs821840 lBF = `-0.0480025` Chr`16` : `56,993,886`	0.001	0.999	0.000
rs247617 lBF = `-0.0487085` Chr`16` : `56,990,716`	0.001	0.999	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.000	0.999	0.001
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.001	0.999	0.000
rs205391 lBF = `-0.066734` Chr`16` : `28,052,963`	0.000	0.999	0.001
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.001	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
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rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs8054347 lBF = `-0.0464613` Chr`16` : `6,717,757`	0.000	1.000	0.000
rs7404095 lBF = `-0.0575876` Chr`16` : `23,864,590`	0.000	1.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	1.000	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs1800775 lBF = `0.141918` Chr`16` : `56,995,236`	0.000	1.000	0.000
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.000	1.000	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.000	1.000	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	1.000	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	1.000	0.000
rs1862746 lBF = `-0.0771389` Chr`16` : `60,462,358`	0.000	1.000	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	1.000	0.000
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	1.000	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs6499100 lBF = `0.154894` Chr`16` : `52,831,462`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs1981483 lBF = `0.0161886` Chr`16` : `630,665`	0.000	1.000	0.000
rs2017567 lBF = `0.00776491` Chr`16` : `637,212`	0.000	1.000	0.000
rs7204439 lBF = `-0.00702572` Chr`16` : `661,335`	0.000	1.000	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.000	1.000	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.000	1.000	0.000
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.000	1.000	0.000
rs2066842 lBF = `6.51175` Chr`16` : `50,744,624`	0.000	1.000	0.000
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	1.000	0.000
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.000	1.000	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	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
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	1.000	0.000
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	1.000	0.000
rs61041336 lBF = `-0.0686938` Chr`16` : `58,733,162`	0.000	1.000	0.000
rs2444217 lBF = `-0.0820759` Chr`16` : `4,038,387`	0.000	1.000	0.000
rs6564851 lBF = `-0.122217` Chr`16` : `81,264,597`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.000	1.000	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	1.000	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.000	1.000	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs5817082 lBF = `0.00299668` Chr`16` : `56,997,349`	0.000	1.000	0.000
rs1035560 lBF = `0.00137358` Chr`16` : `72,032,730`	0.000	1.000	0.000
rs4087296 lBF = `-0.00751085` Chr`16` : `82,377,781`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs9923770 lBF = `-0.0160247` Chr`16` : `86,139,685`	0.000	1.000	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	1.000	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	1.000	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.000	1.000	0.000
rs2343519 lBF = `-0.060762` Chr`16` : `6,128,520`	0.000	1.000	0.000
rs11649311 lBF = `-0.0803119` Chr`16` : `25,226,020`	0.000	1.000	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.000	1.000	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	1.000	0.000
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.000	1.000	0.000
rs2244613 lBF = `0.167206` Chr`16` : `55,844,609`	0.000	1.000	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs2601828 lBF = `0.00343066` Chr`16` : `4,103,871`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs9302752 lBF = `-0.033716` Chr`16` : `50,719,103`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.000	1.000	0.000
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.000	1.000	0.000
rs11645781 lBF = `-0.109493` Chr`16` : `6,896,128`	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 X0020

log Bayes Factor = 557.721

contains 18 variants

0.9993

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9990

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9988

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9987

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9979

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9965

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9962

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9959

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9926

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9923

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9913

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9911

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9893

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9877

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9876

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9876

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9874

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9865

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9863

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9850

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9841

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9821

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9810

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9808

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9803

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9798

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9797

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9795

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9792

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9791

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9761

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9759

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9702

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9656

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9631

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9606

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9597

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9591

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9586

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9576

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9515

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9483

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9469

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9466

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9461

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9456

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9366

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9343

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9338

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9312

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9284

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9274

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9231

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9216

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9214

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9182

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9176

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9142

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9123

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9103

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9087

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9077

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9045

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9037

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9015

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.9010

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9006

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8981

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8931

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8919

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8885

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8864

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8842

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8828

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8820

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8798

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8708

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8679

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8610

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8574

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8482

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8440

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8409

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8389

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8384

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8360

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8356

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8343

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8331

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8319

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8319

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8293

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8274

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8268

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8255

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8231

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8198

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8187

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8179

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8147

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8136

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8092

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8030

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8027

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8004

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7991

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7925

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7825

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7788

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7777

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7772

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7763

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7756

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7611

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7536

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7366

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7249

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7127

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6675

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6579

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6509

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6485

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6460

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6420

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6413

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5974

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5951

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5878

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5498

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4955

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4705

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4238

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4041

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3744

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3111

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3013

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2689

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2159

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2008

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1614

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1558

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0945

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0927

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0733

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0611

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0609

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0604

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0533

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	K09.0 Developmental odontogenic cysts K09.1 Developmental (nonodontogenic) cysts of oral region K09.2 Other cysts of jaw K09.8 Other cysts of oral region, not elsewhere classified K09.9 Cyst of oral region, 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`)