TreeWAS – [K01] Embedded and impacted teeth

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
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.963	0.037	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.924	0.076	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.908	0.092	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.799	0.201	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.790	0.210	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.754	0.246	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.734	0.266	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.711	0.289	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.669	0.331	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.626	0.374	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.578	0.422	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.575	0.425	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.573	0.427	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.570	0.430	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.564	0.436	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.554	0.446	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.540	0.460	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.526	0.474	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.514	0.486	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.488	0.511	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.485	0.515	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.479	0.521	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.478	0.522	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.477	0.522	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.473	0.527	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.471	0.528	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.468	0.531	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.464	0.536	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.462	0.538	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.462	0.538	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.443	0.557	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.439	0.561	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.436	0.563	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.419	0.580	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.416	0.584	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.415	0.585	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.413	0.587	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.378	0.621	0.001
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.371	0.629	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.371	0.629	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.369	0.630	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.360	0.640	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.359	0.641	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.353	0.647	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.352	0.647	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.351	0.649	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.349	0.651	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.338	0.661	0.001
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.332	0.667	0.001
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.332	0.668	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.328	0.672	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.321	0.679	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.301	0.699	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.288	0.712	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.242	0.758	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.230	0.769	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.220	0.779	0.001
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.193	0.806	0.001
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.167	0.832	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.150	0.850	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.149	0.851	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.142	0.857	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.133	0.867	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.128	0.872	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.107	0.891	0.002
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
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.089	0.911	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.088	0.912	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.079	0.921	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.075	0.925	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.069	0.931	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.067	0.933	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.066	0.934	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.062	0.938	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.059	0.941	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.058	0.941	0.001
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.055	0.944	0.001
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.055	0.945	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.054	0.945	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.053	0.947	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.052	0.948	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.046	0.953	0.001
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.045	0.954	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.044	0.956	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.038	0.962	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.037	0.963	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.032	0.968	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.031	0.969	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.031	0.969	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.031	0.969	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.026	0.973	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.025	0.974	0.001
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
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.021	0.978	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.020	0.979	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.019	0.981	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.019	0.981	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.019	0.981	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.017	0.983	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.014	0.986	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.986	0.014
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.013	0.986	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.012	0.988	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.011	0.989	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.011	0.989	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.011	0.989	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.011	0.989	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	0.990	0.010
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.990	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.008	0.992	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.008	0.992	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.007	0.992	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.008	0.992	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.007	0.993	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.007	0.993	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.007	0.993	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.007	0.993	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.006	0.993	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.006	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.006	0.994	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.006	0.994	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.006	0.994	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.006	0.994	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.005	0.995	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.005	0.995	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.005	0.995	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.005	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
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.004	0.996	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.003	0.997	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.003	0.997	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.003	0.997	0.000
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
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.997	0.003
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`	0.003	0.997	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.002	0.997	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	0.998	0.002
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.002	0.998	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	0.998	0.002
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.002	0.998	0.000
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.000	0.998	0.002
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.002	0.998	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.002	0.998	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.002	0.998	0.000
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.000	0.998	0.002
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.002	0.998	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.002	0.998	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.002	0.998	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.998	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.001	0.998	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.998	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.001	0.999	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.001	0.999	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	0.999	0.001
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.001	0.999	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.001	0.999	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.001	0.999	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.999	0.000
rs9972327 lBF = `-0.0668034` Chr`15` : `90,630,892`	0.001	0.999	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.001	0.999	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	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
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	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
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
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
rs60283548 lBF = `0` Chr`15` : `97,454,880`	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
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rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs11073328 lBF = `-0.0231755` Chr`15` : `38,764,843`	0.000	1.000	0.000
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.000	1.000	0.000
rs12441227 lBF = `-0.0289421` Chr`15` : `71,696,886`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.000	1.000	0.000
rs4776997 lBF = `-0.0588064` Chr`15` : `68,150,923`	0.000	1.000	0.000
rs11247124 lBF = `-0.0606221` Chr`15` : `100,265,725`	0.000	1.000	0.000
rs1392635 lBF = `-0.074101` Chr`15` : `69,398,026`	0.000	1.000	0.000
rs12912233 lBF = `-0.0888088` Chr`15` : `61,267,096`	0.000	1.000	0.000
rs11637445 lBF = `-0.106417` Chr`15` : `67,991,606`	0.000	1.000	0.000
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.000	1.000	0.000
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.000	1.000	0.000
rs1964678 lBF = `20.5711` Chr`15` : `78,754,000`	0.000	1.000	0.000
rs2219939 lBF = `18.5789` Chr`15` : `79,029,723`	0.000	1.000	0.000
rs11638981 lBF = `12.2249` Chr`15` : `49,321,529`	0.000	1.000	0.000
rs11072805 lBF = `12.0166` Chr`15` : `79,078,518`	0.000	1.000	0.000
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.000	1.000	0.000
rs36061084 lBF = `11.3186` Chr`15` : `79,074,253`	0.000	1.000	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.000	1.000	0.000
rs17691453 lBF = `1.65764` Chr`15` : `39,543,946`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	1.000	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.000	1.000	0.000
rs2554380 lBF = `0.093174` Chr`15` : `84,315,884`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.000	1.000	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs3099143 lBF = `-0.0266001` Chr`15` : `77,104,856`	0.000	1.000	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	1.000	0.000
rs8023715 lBF = `-0.0503426` Chr`15` : `97,607,681`	0.000	1.000	0.000
rs78472555 lBF = `-0.0673363` Chr`15` : `100,267,322`	0.000	1.000	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	1.000	0.000
rs35600665 lBF = `-0.100694` Chr`15` : `24,741,291`	0.000	1.000	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	1.000	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.000	1.000	0.000
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.000	1.000	0.000
rs11858210 lBF = `12.875` Chr`15` : `79,078,358`	0.000	1.000	0.000
rs2904220 lBF = `12.8397` Chr`15` : `79,076,704`	0.000	1.000	0.000
rs1825087 lBF = `12.8373` Chr`15` : `79,077,114`	0.000	1.000	0.000
rs12050525 lBF = `12.7855` Chr`15` : `79,075,746`	0.000	1.000	0.000
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.000	1.000	0.000
rs12913260 lBF = `12.0735` Chr`15` : `79,071,095`	0.000	1.000	0.000
rs35474770 lBF = `11.4403` Chr`15` : `79,074,000`	0.000	1.000	0.000
rs2004038 lBF = `11.3758` Chr`15` : `79,071,406`	0.000	1.000	0.000
rs112321636 lBF = `11.2927` Chr`15` : `79,072,100`	0.000	1.000	0.000
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.000	1.000	0.000
rs28610385 lBF = `11.0231` Chr`15` : `79,090,606`	0.000	1.000	0.000
rs7173267 lBF = `10.9887` Chr`15` : `79,092,750`	0.000	1.000	0.000
rs4886590 lBF = `10.9795` Chr`15` : `79,074,506`	0.000	1.000	0.000
rs11638321 lBF = `10.9777` Chr`15` : `79,092,183`	0.000	1.000	0.000
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.000	1.000	0.000
rs11634450 lBF = `10.9393` Chr`15` : `79,093,201`	0.000	1.000	0.000
rs11856536 lBF = `10.9145` Chr`15` : `79,094,325`	0.000	1.000	0.000
rs4887113 lBF = `10.8073` Chr`15` : `79,095,287`	0.000	1.000	0.000
rs4887109 lBF = `10.7029` Chr`15` : `79,074,294`	0.000	1.000	0.000
rs7176508 lBF = `2.28547` Chr`15` : `70,018,990`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs2028299 lBF = `0.568989` Chr`15` : `90,374,257`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs184234 lBF = `0.0529052` Chr`15` : `101,251,719`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs4533267 lBF = `0.0106736` Chr`15` : `100,786,271`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs12907914 lBF = `-0.0185925` Chr`15` : `39,315,358`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs12719740 lBF = `-0.0228415` Chr`15` : `99,072,905`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.000	1.000	0.000
rs7173064 lBF = `-0.0402484` Chr`15` : `94,271,228`	0.000	1.000	0.000
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.000	1.000	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.000	1.000	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.000	1.000	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.000	1.000	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.000	1.000	0.000
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	1.000	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.000	1.000	0.000
rs899997 lBF = `18.2795` Chr`15` : `79,019,578`	0.000	1.000	0.000
rs8043119 lBF = `16.5105` Chr`15` : `79,061,002`	0.000	1.000	0.000
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.000	1.000	0.000
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.000	1.000	0.000
rs11072791 lBF = `13.9577` Chr`15` : `78,997,076`	0.000	1.000	0.000
rs12910627 lBF = `13.9518` Chr`15` : `78,994,933`	0.000	1.000	0.000
rs11634543 lBF = `13.7153` Chr`15` : `79,005,504`	0.000	1.000	0.000
rs2127898 lBF = `13.6214` Chr`15` : `79,083,120`	0.000	1.000	0.000
rs79455310 lBF = `13.5183` Chr`15` : `49,439,115`	0.000	1.000	0.000
rs7165042 lBF = `13.4045` Chr`15` : `79,123,338`	0.000	1.000	0.000
rs11629637 lBF = `13.3124` Chr`15` : `79,019,024`	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 X0214

log Bayes Factor = 186.582

contains 8 variants

0.9880

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9675

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9515

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9361

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9033

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8981

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8964

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8838

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8385

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8200

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8190

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8060

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7990

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7981

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7956

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7853

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7590

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7590

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7415

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7341

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7337

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7315

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7261

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7252

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7225

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7128

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7108

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7034

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7006

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7004

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6996

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6966

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6892

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6865

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6858

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6741

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6723

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6695

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6671

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6641

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6640

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6585

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6584

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6545

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6436

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6352

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6307

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6289

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6274

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6260

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6243

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6208

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6198

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6168

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6018

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6008

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5841

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5730

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5475

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5457

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5440

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5410

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5408

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5382

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5379

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5336

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5308

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5275

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5274

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5224

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5197

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5181

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5158

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5156

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5123

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5064

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5042

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5041

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5036

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5004

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4933

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4919

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4915

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4913

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4863

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4846

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4810

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4744

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4722

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4698

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4686

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4679

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4660

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4583

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4583

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4494

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4476

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4457

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4426

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4347

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4238

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4229

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4221

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4213

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4192

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4185

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4183

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4181

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4178

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4177

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4177

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4176

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4176

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4173

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4153

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4080

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4063

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4060

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4022

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4013

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3998

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3948

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3917

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3795

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3765

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3743

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3661

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3381

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3235

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2936

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2841

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.2747

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2686

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1811

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1741

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1720

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1512

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1494

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1378

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1262

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1259

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1100

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0821

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0516

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	K01.0 Embedded teeth K01.1 Impacted teeth

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`)