TreeWAS – [K06] Other disorders of gingiva and edentulous alveolar ridge

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
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.742	0.258	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.742	0.258	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.710	0.290	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.704	0.296	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.702	0.298	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.699	0.301	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.670	0.330	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.666	0.334	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.639	0.361	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.629	0.371	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.624	0.376	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.602	0.398	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.568	0.432	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.561	0.439	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.543	0.456	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.539	0.461	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.502	0.498	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.483	0.516	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.478	0.522	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.470	0.530	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.463	0.537	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.454	0.546	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.445	0.555	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.407	0.593	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.399	0.601	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.359	0.641	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.321	0.679	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.312	0.688	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.299	0.701	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.295	0.705	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.207	0.793	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.199	0.801	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.164	0.836	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.144	0.856	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.129	0.870	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.121	0.878	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.099	0.901	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.099	0.901	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.096	0.904	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.085	0.915	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.082	0.918	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.080	0.919	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.072	0.928	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.057	0.942	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.046	0.954	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.045	0.955	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.041	0.959	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.039	0.961	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.024	0.967	0.009
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.028	0.972	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.026	0.973	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.023	0.977	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.017	0.983	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.017	0.983	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.016	0.984	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.013	0.986	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.013	0.987	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.012	0.987	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.012	0.988	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.010	0.990	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.009	0.991	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.008	0.992	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.008	0.992	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.007	0.993	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.994	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.005	0.994	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.005	0.995	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.005	0.995	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.004	0.996	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.004	0.996	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.003	0.996	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.003	0.997	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	0.997	0.003
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.003	0.997	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.003	0.997	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	0.997	0.003
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.002	0.997	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.002	0.998	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.000	0.998	0.002
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.000	0.998	0.002
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.000	0.998	0.002
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.002	0.998	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.002	0.998	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	0.999	0.001
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.001	0.999	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.001	0.999	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.001	0.999	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	0.999	0.001
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	0.999	0.001
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.999	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.001	0.999	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.001	0.999	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.001	0.999	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.001	0.999	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.001	0.999	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	0.999	0.001
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.001	0.999	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.000	0.999	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.001	0.999	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	0.999	0.001
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.001	0.999	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.001	0.999	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	0.999	0.001
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.001	0.999	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.001	0.999	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.000	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	0.999	0.001
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.000	0.999	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.000	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	0.999	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	0.999	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	0.999	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.000	1.000	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	1.000	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	1.000	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	1.000	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	1.000	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	1.000	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	1.000	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.000	1.000	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	1.000	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	1.000	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	1.000	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	1.000	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	1.000	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	1.000	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	1.000	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	1.000	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	1.000	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
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rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000

This table lists the top 491 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

0.9946

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9945

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9943

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9773

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9770

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9759

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9707

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9706

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9698

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9693

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9653

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9544

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9525

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9513

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9498

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9483

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9479

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9430

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9368

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9315

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9300

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9299

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9291

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9282

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9181

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9161

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9155

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9149

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9123

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9102

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9087

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9056

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9033

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8915

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8892

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8888

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8875

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8873

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8815

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8718

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8703

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8699

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8683

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8673

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8664

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8634

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8631

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8616

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8603

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8557

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8556

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8519

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8501

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8428

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8412

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8389

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8384

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8374

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8327

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8312

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8287

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8267

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8178

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8132

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8125

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8097

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8031

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8008

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7987

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7958

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7931

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7919

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7836

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7811

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7798

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7782

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7759

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7735

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7716

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7715

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7682

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7660

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7579

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7576

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7538

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7535

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7530

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7520

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7503

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7484

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7431

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7395

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7385

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7334

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7309

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7290

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7195

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7144

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7143

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7098

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7034

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6973

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6952

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6928

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6827

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6732

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6702

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6670

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6618

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6569

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6554

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6329

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6297

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6270

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6256

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6160

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.6120

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6079

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5832

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5720

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5719

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5664

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5453

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5382

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5216

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5113

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5042

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5024

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4971

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4959

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4957

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4800

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4382

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3374

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3137

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2987

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2321

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2123

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1667

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1576

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1426

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0868

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0829

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0701

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0661

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0648

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0558

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	K06.0 Gingival recession K06.1 Gingival enlargement K06.2 Gingival and edentulous alveolar ridge lesions associated with trauma K06.8 Other specified disorders of gingiva and edentulous alveolar ridge K06.9 Disorder of gingiva and edentulous alveolar ridge, 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`)