TreeWAS – [K08] Other disorders of teeth and supporting structures

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
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.889	0.111	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.885	0.115	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.841	0.159	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.771	0.229	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.758	0.242	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.757	0.243	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.728	0.272	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.725	0.275	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.713	0.287	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.707	0.293	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.690	0.310	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.684	0.316	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.675	0.325	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.659	0.341	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.629	0.370	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.614	0.386	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.603	0.397	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.599	0.401	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.580	0.420	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.568	0.432	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.517	0.483	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.516	0.484	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.497	0.502	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.491	0.508	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.485	0.515	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.482	0.518	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.467	0.533	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.455	0.545	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.438	0.562	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.426	0.574	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.425	0.574	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
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.411	0.589	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.399	0.601	0.001
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.399	0.601	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.399	0.601	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.399	0.601	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.398	0.602	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.397	0.602	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.382	0.618	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.381	0.619	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.377	0.623	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.375	0.625	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.367	0.633	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.354	0.645	0.001
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.353	0.647	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.350	0.650	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.347	0.653	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.308	0.691	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.304	0.696	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.284	0.716	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.258	0.742	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.253	0.746	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.250	0.750	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.236	0.764	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.219	0.781	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.214	0.786	0.001
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.205	0.795	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.168	0.832	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.154	0.846	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.140	0.860	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.135	0.865	0.001
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.132	0.868	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.125	0.875	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.107	0.893	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.098	0.902	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.094	0.906	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.084	0.916	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.073	0.927	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.070	0.930	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.069	0.931	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.069	0.931	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.068	0.932	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.063	0.933	0.004
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.065	0.935	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.064	0.936	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.063	0.937	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.061	0.939	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.057	0.942	0.001
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.051	0.949	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.049	0.950	0.001
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.047	0.953	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.046	0.954	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.043	0.957	0.001
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.042	0.957	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.038	0.962	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.037	0.963	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.036	0.963	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.032	0.967	0.001
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.031	0.969	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.026	0.974	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.023	0.976	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.023	0.977	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.023	0.977	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.022	0.978	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.015	0.985	0.000
rs1466921 lBF = `-0.0815409` Chr`15` : `82,384,657`	0.015	0.985	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	0.985	0.015
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.986	0.014
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.014	0.986	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.014	0.986	0.000
rs9972327 lBF = `-0.0668034` Chr`15` : `90,630,892`	0.014	0.986	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.014	0.986	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.013	0.986	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.013	0.987	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.013	0.987	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.013	0.987	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.012	0.988	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`	0.011	0.989	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.990	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.010	0.990	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.008	0.991	0.001
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.009	0.991	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.008	0.992	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.008	0.992	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.007	0.993	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
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.006	0.994	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.006	0.994	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.006	0.994	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.005	0.995	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.005	0.995	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.004	0.995	0.001
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.005	0.995	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.004	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.996	0.004
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.004	0.996	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.004	0.996	0.000
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
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.004	0.996	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.003	0.997	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.003	0.997	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.003	0.997	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.003	0.997	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.003	0.997	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.003	0.997	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.997	0.003
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.997	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.000	0.997	0.003
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.003	0.997	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.002	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.002	0.998	0.000
rs748404 lBF = `0.0377332` Chr`15` : `43,559,231`	0.002	0.998	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.002	0.998	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.002	0.998	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.002	0.998	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.002	0.998	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.002	0.998	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.002	0.998	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.001	0.998	0.001
rs1392635 lBF = `-0.074101` Chr`15` : `69,398,026`	0.002	0.998	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.998	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.998	0.001
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.001	0.998	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.001	0.998	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.001	0.999	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs8036030 lBF = `0.021247` Chr`15` : `74,716,609`	0.001	0.999	0.000
rs4076457 lBF = `-0.0184089` Chr`15` : `78,007,213`	0.001	0.999	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.001	0.999	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.001	0.999	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.999	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	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
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.001	0.999	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.001	0.999	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.001	0.999	0.000
rs4965272 lBF = `0.0640466` Chr`15` : `100,584,739`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs2934442 lBF = `0.0124256` Chr`15` : `57,762,793`	0.001	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	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
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
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.001	0.999	0.000
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.000	0.999	0.001
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.000	0.999	0.001
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
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
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rs11635191 lBF = `0.0617191` Chr`15` : `74,550,050`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	1.000	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	1.000	0.000
rs9328573 lBF = `-0.0201958` Chr`15` : `100,511,004`	0.000	1.000	0.000
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.000	1.000	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.000	1.000	0.000
rs2562784 lBF = `-0.044072` Chr`15` : `84,286,492`	0.000	1.000	0.000
rs1038094 lBF = `-0.0674252` Chr`15` : `74,012,437`	0.000	1.000	0.000
rs448720 lBF = `-0.0685717` Chr`15` : `68,198,911`	0.000	1.000	0.000
rs951984 lBF = `16.3665` Chr`15` : `78,720,915`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs9672608 lBF = `10.0134` Chr`15` : `78,797,463`	0.000	1.000	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	1.000	0.000
rs2643217 lBF = `0.612596` Chr`15` : `39,003,763`	0.000	1.000	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.000	1.000	0.000
rs744910 lBF = `0.45769` Chr`15` : `67,446,785`	0.000	1.000	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	1.000	0.000
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.000	1.000	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.000	1.000	0.000
rs2554380 lBF = `0.093174` Chr`15` : `84,315,884`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	1.000	0.000
rs1394125 lBF = `0.0167156` Chr`15` : `76,158,983`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	1.000	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	1.000	0.000
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.000	1.000	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.000	1.000	0.000
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.000	1.000	0.000
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.000	1.000	0.000
rs1869901 lBF = `-0.0914663` Chr`15` : `40,595,627`	0.000	1.000	0.000
rs7178424 lBF = `-0.115284` Chr`15` : `62,380,259`	0.000	1.000	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.000	1.000	0.000
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.000	1.000	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs2568485 lBF = `11.2894` Chr`15` : `78,752,114`	0.000	1.000	0.000
rs2938671 lBF = `11.1176` Chr`15` : `78,732,754`	0.000	1.000	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	1.000	0.000
rs2568483 lBF = `10.989` Chr`15` : `78,752,343`	0.000	1.000	0.000
rs2656070 lBF = `10.9751` Chr`15` : `78,730,252`	0.000	1.000	0.000
rs2568488 lBF = `10.9602` Chr`15` : `78,736,593`	0.000	1.000	0.000
rs2568493 lBF = `10.9512` Chr`15` : `78,740,233`	0.000	1.000	0.000
rs2568490 lBF = `10.9291` Chr`15` : `78,738,370`	0.000	1.000	0.000
rs2915695 lBF = `10.927` Chr`15` : `78,739,471`	0.000	1.000	0.000
rs2656069 lBF = `10.9258` Chr`15` : `78,745,707`	0.000	1.000	0.000
rs2656071 lBF = `10.9174` Chr`15` : `78,745,343`	0.000	1.000	0.000
rs2958719 lBF = `10.9043` Chr`15` : `78,743,029`	0.000	1.000	0.000
rs16969894 lBF = `10.8894` Chr`15` : `78,776,456`	0.000	1.000	0.000
rs2656073 lBF = `10.8682` Chr`15` : `78,742,276`	0.000	1.000	0.000
rs2656072 lBF = `10.8529` Chr`15` : `78,744,292`	0.000	1.000	0.000
rs7174348 lBF = `10.7242` Chr`15` : `78,792,439`	0.000	1.000	0.000
rs74925218 lBF = `10.5539` Chr`15` : `78,796,732`	0.000	1.000	0.000
rs2036529 lBF = `10.5537` Chr`15` : `78,726,272`	0.000	1.000	0.000
rs2036533 lBF = `10.5388` Chr`15` : `78,781,687`	0.000	1.000	0.000
rs28511883 lBF = `10.4965` Chr`15` : `78,783,683`	0.000	1.000	0.000
rs10851906 lBF = `10.4861` Chr`15` : `78,774,676`	0.000	1.000	0.000
rs12101809 lBF = `10.4802` Chr`15` : `78,779,801`	0.000	1.000	0.000
rs35031105 lBF = `10.4116` Chr`15` : `78,772,806`	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
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.000	1.000	0.000
rs2568497 lBF = `9.97824` Chr`15` : `78,721,397`	0.000	1.000	0.000
rs2938674 lBF = `9.93244` Chr`15` : `78,757,913`	0.000	1.000	0.000
rs7174190 lBF = `9.73367` Chr`15` : `78,763,617`	0.000	1.000	0.000
rs28480606 lBF = `9.70409` Chr`15` : `78,762,313`	0.000	1.000	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.000	1.000	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	1.000	0.000
rs8023580 lBF = `0.411363` Chr`15` : `96,708,291`	0.000	1.000	0.000
rs12915845 lBF = `0.271243` Chr`15` : `89,042,467`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	1.000	0.000
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	1.000	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.000	1.000	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.000	1.000	0.000
rs4906844 lBF = `-0.0529965` Chr`15` : `26,277,545`	0.000	1.000	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.000	1.000	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.000	1.000	0.000
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.000	1.000	0.000
rs8030136 lBF = `-0.0708881` Chr`15` : `25,022,988`	0.000	1.000	0.000
rs17664713 lBF = `-0.0717038` Chr`15` : `95,318,586`	0.000	1.000	0.000
rs7403037 lBF = `-0.0870766` Chr`15` : `24,818,497`	0.000	1.000	0.000
rs924840 lBF = `11.0346` Chr`15` : `78,731,808`	0.000	1.000	0.000
rs2656055 lBF = `10.0344` Chr`15` : `78,720,194`	0.000	1.000	0.000
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	1.000	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.000	1.000	0.000
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	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 X0122

log Bayes Factor = 219.114

contains 9 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9999

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9997

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9994

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9987

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9936

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9935

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9933

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9931

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9915

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9894

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9870

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9858

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9835

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9803

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9732

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9729

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9717

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9701

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9698

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9696

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9694

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9675

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9657

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9590

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9578

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9491

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9438

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9342

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9286

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9198

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9045

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9041

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9014

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8985

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8912

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8890

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8867

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8709

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8474

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8450

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8439

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8330

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8309

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8226

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8127

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8089

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8033

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7975

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7865

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7856

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7850

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7813

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7807

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7653

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7496

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7382

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7310

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7216

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7121

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7100

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7043

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7036

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6990

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6950

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6876

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6816

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6698

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6654

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6648

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6635

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6631

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6573

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6556

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6468

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6440

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6396

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6381

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6352

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6237

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6195

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6099

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5994

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5778

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5769

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5647

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5595

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5260

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5176

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5175

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5160

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5152

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5102

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4817

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4696

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4390

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4237

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3969

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3839

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3816

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3661

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3546

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3510

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3477

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3458

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3394

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3159

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3047

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2981

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2836

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2698

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2488

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2333

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2264

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2222

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2139

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2091

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2087

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1888

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1798

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1710

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1603

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1510

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1496

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1462

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1415

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1334

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1313

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1215

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1200

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1106

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0717

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0673

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0653

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0615

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0522

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	K08.0 Exfoliation of teeth due to systemic causes K08.1 Loss of teeth due to accident, extraction or local periodontal disease K08.2 Atrophy of edentulous alveolar ridge K08.3 Retained dental root K08.8 Other specified disorders of teeth and supporting structures K08.9 Disorder of teeth and supporting structures, 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`)