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
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.941	0.059	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.878	0.122	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.813	0.187	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.809	0.191	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.757	0.243	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.750	0.250	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.709	0.291	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.659	0.341	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.640	0.360	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.629	0.370	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.621	0.379	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.588	0.411	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.587	0.413	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.578	0.422	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.513	0.487	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.507	0.493	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.496	0.504	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.485	0.515	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.466	0.533	0.001
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.462	0.537	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.448	0.552	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.439	0.561	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.438	0.562	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.438	0.562	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.438	0.562	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.434	0.566	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.431	0.569	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.425	0.575	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.423	0.577	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.422	0.578	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.419	0.580	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.413	0.587	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.407	0.593	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.398	0.602	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.396	0.604	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.387	0.613	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.378	0.622	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.370	0.628	0.002
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.369	0.630	0.001
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.365	0.635	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.352	0.648	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.349	0.651	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.341	0.659	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.331	0.668	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.332	0.668	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.324	0.675	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.324	0.676	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.306	0.694	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.300	0.700	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.287	0.713	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.286	0.714	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.273	0.727	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.272	0.727	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.267	0.732	0.001
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.261	0.739	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.240	0.759	0.001
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.233	0.767	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.198	0.802	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.190	0.809	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.190	0.810	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.149	0.851	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.138	0.862	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.134	0.865	0.001
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.125	0.875	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.119	0.881	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.115	0.885	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.102	0.897	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.102	0.898	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.098	0.902	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.094	0.906	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.087	0.913	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.083	0.917	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.077	0.923	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.072	0.928	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.055	0.945	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.050	0.950	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.048	0.951	0.001
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.048	0.952	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.044	0.956	0.001
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.042	0.958	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.040	0.959	0.001
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.038	0.962	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.037	0.963	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.037	0.963	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.037	0.963	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.035	0.965	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.033	0.967	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.033	0.967	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.032	0.968	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.030	0.970	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.023	0.977	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.022	0.978	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.020	0.980	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.019	0.981	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.018	0.982	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.016	0.984	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.016	0.984	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.016	0.984	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.016	0.984	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.016	0.984	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.014	0.986	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.986	0.014
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.014	0.986	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.013	0.986	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.013	0.987	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.011	0.988	0.001
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.012	0.988	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	0.989	0.011
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.011	0.989	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.009	0.990	0.001
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.990	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.009	0.991	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.009	0.991	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.009	0.991	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.009	0.991	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.008	0.992	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.008	0.992	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.008	0.992	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.007	0.993	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.006	0.994	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.006	0.994	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.006	0.994	0.000
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	0.994	0.006
rs7179228 lBF = `0.0380638` Chr`15` : `68,622,347`	0.000	0.994	0.006
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.006	0.994	0.000
rs2652822 lBF = `-0.130664` Chr`15` : `63,422,772`	0.000	0.995	0.005
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.005	0.995	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.005	0.995	0.000
rs1472631 lBF = `-0.130445` Chr`15` : `63,423,739`	0.000	0.995	0.005
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.005	0.995	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.004	0.996	0.001
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs2028299 lBF = `0.568989` Chr`15` : `90,374,257`	0.000	0.996	0.004
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.004	0.996	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.004	0.996	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.996	0.004
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.004	0.996	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	0.996	0.004
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.004	0.996	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	0.997	0.003
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.003	0.997	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.003	0.997	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.003	0.997	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.997	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.002	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.002	0.998	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.998	0.002
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.002	0.998	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.002	0.998	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.002	0.998	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.001	0.998	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.998	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.002	0.998	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.001	0.998	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.998	0.001
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.001	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.001	0.999	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.001	0.999	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.001	0.999	0.000
rs117799466 lBF = `0.335038` Chr`15` : `34,659,517`	0.000	0.999	0.001
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.001	0.999	0.000
rs62018380 lBF = `-0.0507671` Chr`15` : `95,275,917`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
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rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.000	1.000	0.000
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.000	1.000	0.000
rs938682 lBF = `19.6295` Chr`15` : `78,896,547`	0.000	1.000	0.000
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.000	1.000	0.000
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.000	1.000	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	1.000	0.000
rs2656056 lBF = `10.2112` Chr`15` : `78,722,519`	0.000	1.000	0.000
rs2568499 lBF = `10.2112` Chr`15` : `78,722,359`	0.000	1.000	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	1.000	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs7172677 lBF = `-0.00712931` Chr`15` : `75,424,593`	0.000	1.000	0.000
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	1.000	0.000
rs1897031 lBF = `-0.0132897` Chr`15` : `54,341,465`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.000	1.000	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	1.000	0.000
rs950169 lBF = `-0.0486341` Chr`15` : `84,706,461`	0.000	1.000	0.000
rs2467853 lBF = `-0.0789371` Chr`15` : `45,698,793`	0.000	1.000	0.000
rs7172809 lBF = `-0.0978218` Chr`15` : `77,819,676`	0.000	1.000	0.000
rs12914626 lBF = `-0.107182` Chr`15` : `58,738,423`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs7171869 lBF = `19.4273` Chr`15` : `78,900,909`	0.000	1.000	0.000
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.000	1.000	0.000
rs12910984 lBF = `17.509` Chr`15` : `78,891,627`	0.000	1.000	0.000
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.000	1.000	0.000
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	1.000	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs8037790 lBF = `0.0814415` Chr`15` : `92,542,831`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.000	1.000	0.000
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.000	1.000	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.000	1.000	0.000
rs2453533 lBF = `-0.0781824` Chr`15` : `45,641,225`	0.000	1.000	0.000
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.000	1.000	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.000	1.000	0.000
rs6495308 lBF = `18.9316` Chr`15` : `78,907,656`	0.000	1.000	0.000
rs8042374 lBF = `18.7395` Chr`15` : `78,908,032`	0.000	1.000	0.000
rs8042059 lBF = `18.7395` Chr`15` : `78,907,859`	0.000	1.000	0.000
rs7177514 lBF = `18.6876` Chr`15` : `78,907,406`	0.000	1.000	0.000
rs8042494 lBF = `18.6762` Chr`15` : `78,908,010`	0.000	1.000	0.000
rs8043009 lBF = `18.5049` Chr`15` : `78,908,154`	0.000	1.000	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	1.000	0.000
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.000	1.000	0.000
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	1.000	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	1.000	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.000	1.000	0.000
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.000	1.000	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	1.000	0.000
rs4984406 lBF = `0.117383` Chr`15` : `95,268,494`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.000	1.000	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	1.000	0.000
rs17664713 lBF = `-0.0717038` Chr`15` : `95,318,586`	0.000	1.000	0.000
rs1392635 lBF = `-0.074101` Chr`15` : `69,398,026`	0.000	1.000	0.000
rs28374715 lBF = `-0.0824573` Chr`15` : `41,563,950`	0.000	1.000	0.000
rs12899811 lBF = `-0.0963806` Chr`15` : `91,544,076`	0.000	1.000	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.000	1.000	0.000
rs9788682 lBF = `16.534` Chr`15` : `78,802,586`	0.000	1.000	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs8039600 lBF = `13.0655` Chr`15` : `78,990,300`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs17374222 lBF = `0.404833` Chr`15` : `69,995,344`	0.000	1.000	0.000
rs4886707 lBF = `0.386535` Chr`15` : `75,755,467`	0.000	1.000	0.000
rs7169223 lBF = `0.259143` Chr`15` : `78,992,116`	0.000	1.000	0.000
rs950776 lBF = `0.199223` Chr`15` : `78,926,018`	0.000	1.000	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	1.000	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	1.000	0.000
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	0.000	1.000	0.000
rs17536527 lBF = `0.0983696` Chr`15` : `45,719,187`	0.000	1.000	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.000	1.000	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	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`)