TreeWAS – [K10] Other diseases of jaws

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
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.769	0.231	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.755	0.244	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.743	0.257	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.711	0.289	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.705	0.295	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.702	0.298	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.686	0.314	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.675	0.325	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.673	0.327	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.671	0.328	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.668	0.331	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.655	0.344	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.646	0.354	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.637	0.362	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.625	0.375	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.623	0.377	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.614	0.386	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.611	0.389	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.608	0.392	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.600	0.399	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.597	0.403	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.584	0.415	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.583	0.417	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.581	0.419	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.575	0.425	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.568	0.432	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.550	0.450	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.547	0.453	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.545	0.455	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.545	0.455	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.541	0.459	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.533	0.467	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.516	0.483	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.496	0.504	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.492	0.507	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.479	0.521	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.462	0.538	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.459	0.541	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.445	0.555	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.442	0.558	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.440	0.559	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.435	0.565	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.433	0.567	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
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.404	0.596	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.400	0.600	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.387	0.612	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.386	0.614	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.377	0.623	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.373	0.627	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.357	0.642	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.353	0.646	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.328	0.672	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.299	0.701	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.297	0.703	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.289	0.711	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.260	0.739	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.257	0.742	0.001
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.209	0.791	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.189	0.811	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.188	0.812	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.180	0.819	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.145	0.854	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.135	0.865	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.131	0.867	0.002
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.121	0.879	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.111	0.888	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.098	0.902	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.091	0.909	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.090	0.910	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.090	0.910	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.086	0.913	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.084	0.915	0.001
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.077	0.922	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.073	0.927	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.069	0.930	0.001
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.066	0.933	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.065	0.934	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.056	0.944	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.054	0.946	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.053	0.947	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.052	0.948	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.052	0.948	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.051	0.949	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.050	0.950	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.050	0.950	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.048	0.952	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.042	0.958	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.038	0.962	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.035	0.965	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.034	0.966	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.033	0.966	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.033	0.967	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.028	0.971	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.025	0.975	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.024	0.976	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
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.021	0.978	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.021	0.979	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.020	0.979	0.001
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.020	0.980	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.015	0.984	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	0.985	0.015
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.015	0.985	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.986	0.014
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.014	0.986	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.014	0.986	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.012	0.988	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.011	0.989	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.010	0.989	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.990	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.009	0.991	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.009	0.991	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.009	0.991	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.008	0.992	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.007	0.993	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.007	0.993	0.000
rs2445762 lBF = `0.0241037` Chr`15` : `51,617,708`	0.000	0.993	0.007
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.007	0.993	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.007	0.993	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.007	0.993	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.007	0.993	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.006	0.994	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.006	0.994	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.006	0.994	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.005	0.995	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.005	0.995	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.005	0.995	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.004	0.995	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.004	0.996	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	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
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.004	0.996	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	0.997	0.003
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.003	0.997	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.003	0.997	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.003	0.997	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.003	0.997	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.997	0.000
rs56062135 lBF = `22.0047` Chr`15` : `67,455,630`	0.000	0.997	0.003
rs72743461 lBF = `21.8932` Chr`15` : `67,441,750`	0.000	0.997	0.003
rs17293632 lBF = `21.6143` Chr`15` : `67,442,596`	0.000	0.997	0.003
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.000	0.997	0.003
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	0.000	0.998	0.002
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.998	0.002
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.002	0.998	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.002	0.998	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.002	0.998	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.002	0.998	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.002	0.998	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.002	0.998	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.002	0.998	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.002	0.998	0.000
rs8041227 lBF = `-0.03131` Chr`15` : `31,538,542`	0.000	0.998	0.002
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.002	0.998	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.002	0.998	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.002	0.998	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.002	0.998	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.998	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.001	0.998	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.001	0.998	0.000
rs117799466 lBF = `0.335038` Chr`15` : `34,659,517`	0.000	0.998	0.002
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.998	0.001
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.001	0.998	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs1568657 lBF = `-0.0477838` Chr`15` : `83,726,179`	0.000	0.999	0.001
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.000	0.999	0.001
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	0.999	0.001
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.001	0.999	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.001	0.999	0.000
rs11855415 lBF = `0.257241` Chr`15` : `101,875,123`	0.000	0.999	0.001
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs2553218 lBF = `-0.0759874` Chr`15` : `54,868,668`	0.001	0.999	0.000
rs143536437 lBF = `-0.067172` Chr`15` : `30,898,332`	0.000	0.999	0.001
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.001	0.999	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	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
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.001	0.999	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.001	0.999	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	0.999	0.001
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.001	0.999	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.001	0.999	0.000
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
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.000	0.999	0.001
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	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
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rs11637235 lBF = `-0.0455725` Chr`15` : `48,633,153`	0.000	1.000	0.000
rs7179575 lBF = `-0.0527773` Chr`15` : `27,323,199`	0.000	1.000	0.000
rs12593813 lBF = `-0.0607882` Chr`15` : `68,036,852`	0.000	1.000	0.000
rs261291 lBF = `-0.0695615` Chr`15` : `58,680,178`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs2568488 lBF = `10.9602` Chr`15` : `78,736,593`	0.000	1.000	0.000
rs2915695 lBF = `10.927` Chr`15` : `78,739,471`	0.000	1.000	0.000
rs2656071 lBF = `10.9174` Chr`15` : `78,745,343`	0.000	1.000	0.000
rs10852151 lBF = `0.713437` Chr`15` : `92,083,295`	0.000	1.000	0.000
rs1601935 lBF = `0.0461629` Chr`15` : `58,671,765`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs11074250 lBF = `0.0134865` Chr`15` : `94,631,472`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.000	1.000	0.000
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	1.000	0.000
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	1.000	0.000
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	0.000	1.000	0.000
rs684513 lBF = `14.0992` Chr`15` : `78,858,400`	0.000	1.000	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	1.000	0.000
rs1876206 lBF = `0.0962583` Chr`15` : `48,900,586`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs8036030 lBF = `0.021247` Chr`15` : `74,716,609`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.000	1.000	0.000
rs8034595 lBF = `-0.0472016` Chr`15` : `96,719,229`	0.000	1.000	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	1.000	0.000
rs11073058 lBF = `1.85639` Chr`15` : `34,989,626`	0.000	1.000	0.000
rs11073060 lBF = `1.83314` Chr`15` : `34,989,851`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs10468017 lBF = `-0.003875` Chr`15` : `58,678,512`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs11073328 lBF = `-0.0231755` Chr`15` : `38,764,843`	0.000	1.000	0.000
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.000	1.000	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.000	1.000	0.000
rs1993976 lBF = `-0.0678076` Chr`15` : `98,606,313`	0.000	1.000	0.000
rs2018860 lBF = `-0.105359` Chr`15` : `99,258,710`	0.000	1.000	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.000	1.000	0.000
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.000	1.000	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	1.000	0.000
rs12910984 lBF = `17.509` Chr`15` : `78,891,627`	0.000	1.000	0.000
rs2472299 lBF = `3.80722` Chr`15` : `75,033,400`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs184234 lBF = `0.0529052` Chr`15` : `101,251,719`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.000	1.000	0.000
rs2663905 lBF = `-0.0436781` Chr`15` : `81,359,137`	0.000	1.000	0.000
rs1986112 lBF = `-0.0766278` Chr`15` : `63,540,572`	0.000	1.000	0.000
rs11637445 lBF = `-0.106417` Chr`15` : `67,991,606`	0.000	1.000	0.000
rs938682 lBF = `19.6295` Chr`15` : `78,896,547`	0.000	1.000	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.000	1.000	0.000
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	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
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	1.000	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	1.000	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	1.000	0.000
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	1.000	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	1.000	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs4965272 lBF = `0.0640466` Chr`15` : `100,584,739`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	1.000	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	1.000	0.000
rs7164569 lBF = `-0.0110508` Chr`15` : `31,793,930`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs1471225 lBF = `-0.0492171` Chr`15` : `29,888,396`	0.000	1.000	0.000
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	1.000	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	1.000	0.000
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	1.000	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.000	1.000	0.000
rs2652822 lBF = `-0.130664` Chr`15` : `63,422,772`	0.000	1.000	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	1.000	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	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

0.9998

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9968

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9956

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9956

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9956

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9948

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9937

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9934

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9927

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9856

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9855

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9854

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9820

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9816

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9812

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9793

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9789

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9779

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9754

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9742

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9739

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9729

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9720

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9706

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9699

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9694

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9677

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9652

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9641

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9631

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9624

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9622

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9610

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9599

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9597

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9593

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9589

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9585

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9557

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9544

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9538

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9516

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9500

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9485

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9456

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9444

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9436

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9418

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9356

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9324

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9304

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9265

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9250

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9222

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9207

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9204

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9203

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9179

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9123

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9098

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9076

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9053

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9012

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9012

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8989

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8964

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8925

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8923

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8901

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8891

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8881

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8877

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8868

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8858

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8851

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8845

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8839

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8768

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8722

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8614

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8609

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8600

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8545

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8534

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8531

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8515

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8497

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8435

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8414

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8342

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8340

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8338

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8330

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8289

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8277

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8249

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8241

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8193

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8129

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8045

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7966

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7953

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7946

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7885

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7844

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7842

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7807

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7781

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7722

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7705

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7635

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7615

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7579

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7549

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7312

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7259

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7070

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7068

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6978

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6785

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6622

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6530

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6454

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6394

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6332

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.6321

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6136

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5595

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5149

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5086

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4734

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4543

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4376

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3344

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3234

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3099

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2505

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2279

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1499

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1426

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0850

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0773

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0630

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0605

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0600

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0587

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0513

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	K10.0 Developmental disorders of jaws K10.1 Giant cell granuloma, central K10.2 Inflammatory conditions of jaws K10.3 Alveolitis of jaws K10.8 Other specified diseases of jaws K10.9 Disease of jaws, 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`)