TreeWAS – [K00] Disorders of tooth development and eruption

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
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.745	0.255	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.731	0.269	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.719	0.281	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.714	0.286	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.707	0.293	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.702	0.298	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.688	0.312	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.687	0.313	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.679	0.321	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.669	0.331	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.667	0.333	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.666	0.334	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.663	0.337	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.652	0.348	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.647	0.353	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.645	0.355	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.644	0.356	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.629	0.371	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.606	0.394	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.602	0.398	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.595	0.404	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.594	0.406	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.583	0.417	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.572	0.428	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.568	0.431	0.000
rs987525 lBF = `0.731115` Chr`8` : `129,946,154`	0.567	0.433	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.566	0.434	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.565	0.435	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.552	0.447	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.549	0.450	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.548	0.452	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.542	0.458	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.538	0.461	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.526	0.474	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.522	0.477	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.522	0.478	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.517	0.483	0.000
rs2466024 lBF = `0.925885` Chr`8` : `128,188,019`	0.506	0.494	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.496	0.504	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.504	0.495
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.494	0.506	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.482	0.518	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.481	0.519	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.468	0.532	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.462	0.538	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.459	0.541	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.458	0.542	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.457	0.542	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.454	0.545	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.454	0.546	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.450	0.549	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.443	0.557	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.440	0.559	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.439	0.561	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.433	0.567	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.429	0.571	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.426	0.574	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.422	0.578	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.418	0.582	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.408	0.592	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.405	0.595	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.399	0.601	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.392	0.608	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.383	0.617	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.381	0.618	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.380	0.620	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.379	0.620	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.375	0.625	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.363	0.636	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.354	0.646	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.352	0.648	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.350	0.649	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.349	0.650	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.349	0.651	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.342	0.657	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.302	0.698	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.301	0.699	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.299	0.701	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.293	0.706	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.290	0.709	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.281	0.718	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.279	0.721	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.277	0.722	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.260	0.740	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.248	0.752	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.240	0.760	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.229	0.771	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.208	0.792	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.204	0.796	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.202	0.797	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.194	0.806	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.194	0.806	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.190	0.810	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.188	0.812	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.185	0.815	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.183	0.817	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.181	0.819	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.180	0.819	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.180	0.820	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.161	0.839	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.156	0.844	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.154	0.846	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.150	0.850	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.149	0.851	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.136	0.864	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.124	0.875	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.122	0.878	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.110	0.890	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.106	0.894	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.106	0.894	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.104	0.896	0.000
rs9297994 lBF = `15.9783` Chr`8` : `59,392,324`	0.000	0.899	0.101
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.000	0.899	0.101
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.091	0.908	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.077	0.923	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.075	0.925	0.000
rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	0.000	0.926	0.074
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.068	0.932	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.933	0.067
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	0.934	0.066
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.064	0.936	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.062	0.938	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.061	0.939	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.060	0.940	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.054	0.946	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.053	0.947	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.051	0.949	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.048	0.952	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.048	0.952	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.041	0.958	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.036	0.964	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.035	0.965	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.034	0.966	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.032	0.968	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.030	0.970	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.026	0.971	0.003
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.029	0.971	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.028	0.972	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.028	0.972	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.025	0.975	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.025	0.975	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.024	0.975	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.023	0.977	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.023	0.977	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.020	0.979	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.019	0.981	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.018	0.982	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.018	0.982	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.018	0.982	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.017	0.983	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.017	0.983	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.016	0.984	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.016	0.984	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.015	0.985	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.014	0.986	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.014	0.986	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.014	0.986	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.013	0.987	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.013	0.987	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.012	0.987	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.988	0.012
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.011	0.989	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.010	0.990	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.010	0.990	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.009	0.990	0.000
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	0.990	0.009
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.009	0.991	0.000
rs11987678 lBF = `-0.0283536` Chr`8` : `81,228,826`	0.009	0.991	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.008	0.991	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.008	0.992	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.008	0.992	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.007	0.992	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.007	0.993	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.006	0.994	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.006	0.994	0.000
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.000	0.994	0.006
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.006	0.994	0.000
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.000	0.994	0.005
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.005	0.994	0.001
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.005	0.994	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.005	0.995	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.005	0.995	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.005	0.995	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.005	0.995	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.004	0.995	0.001
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.005	0.995	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.004	0.996	0.000
rs13258681 lBF = `7.41684` Chr`8` : `124,714,722`	0.004	0.996	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.004	0.996	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.003	0.996	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.003	0.997	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.003	0.997	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.003	0.997	0.000
rs2627282 lBF = `-0.0260288` Chr`8` : `2,780,956`	0.003	0.997	0.000
rs2294013 lBF = `6.58919` Chr`8` : `124,710,729`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs1714746 lBF = `-0.0900439` Chr`8` : `4,105,147`	0.003	0.997	0.000
rs2721937 lBF = `-0.0210665` Chr`8` : `116,633,699`	0.000	0.997	0.003
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rs1991866 lBF = `-0.0639021` Chr`8` : `130,624,105`	0.001	0.999	0.000
rs16939046 lBF = `0.0561149` Chr`8` : `76,147,954`	0.000	0.999	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	0.999	0.000
rs4921617 lBF = `-0.0100612` Chr`8` : `18,782,047`	0.000	0.999	0.000
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.000	0.999	0.000
rs17466684 lBF = `-0.0699541` Chr`8` : `27,452,847`	0.000	0.999	0.000
rs630662 lBF = `-0.0952354` Chr`8` : `108,972,298`	0.000	0.999	0.000
rs56005245 lBF = `9.35561` Chr`8` : `128,113,426`	0.000	0.999	0.000
rs6991347 lBF = `8.62128` Chr`8` : `25,756,681`	0.000	0.999	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	0.999	0.000
rs11991744 lBF = `0.00178314` Chr`8` : `124,659,329`	0.000	0.999	0.000
rs17405819 lBF = `-0.0363693` Chr`8` : `76,806,584`	0.000	0.999	0.000
rs9987353 lBF = `0.199776` Chr`8` : `9,116,349`	0.000	0.999	0.000
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	0.999	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	0.999	0.000
rs7822232 lBF = `-0.0334663` Chr`8` : `145,145,687`	0.000	0.999	0.000
rs10505477 lBF = `58.5637` Chr`8` : `128,407,443`	0.000	1.000	0.000
rs2121904 lBF = `5.84292` Chr`8` : `109,379,633`	0.000	1.000	0.000
rs4733613 lBF = `0.769072` Chr`8` : `129,599,278`	0.000	1.000	0.000
rs2444896 lBF = `0.266119` Chr`8` : `99,022,009`	0.000	1.000	0.000
rs2721173 lBF = `0.193726` Chr`8` : `145,744,429`	0.000	1.000	0.000
rs7833787 lBF = `0.110086` Chr`8` : `18,707,871`	0.000	1.000	0.000
rs7823896 lBF = `0.00330636` Chr`8` : `110,217,266`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs2439312 lBF = `-0.0253318` Chr`8` : `32,412,359`	0.000	1.000	0.000
rs2975734 lBF = `-0.0286243` Chr`8` : `10,090,097`	0.000	1.000	0.000
rs6558295 lBF = `-0.0338702` Chr`8` : `145,139,522`	0.000	1.000	0.000
rs2702888 lBF = `-0.0766788` Chr`8` : `6,765,032`	0.000	1.000	0.000
rs2163870 lBF = `-0.0891177` Chr`8` : `108,377,901`	0.000	1.000	0.000
rs42490 lBF = `-0.106832` Chr`8` : `90,778,513`	0.000	1.000	0.000
rs12543318 lBF = `-0.117623` Chr`8` : `88,868,340`	0.000	1.000	0.000
Affx-31548681 lBF = `15.4653` Chr`8` : `128,428,795`	0.000	1.000	0.000
rs4735053 lBF = `5.21769` Chr`8` : `109,260,776`	0.000	1.000	0.000
rs1375785 lBF = `0.185641` Chr`8` : `83,991,231`	0.000	1.000	0.000
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.000	1.000	0.000
rs1480997 lBF = `0.111189` Chr`8` : `21,484,457`	0.000	1.000	0.000
rs12680842 lBF = `0.0437133` Chr`8` : `95,582,606`	0.000	1.000	0.000
rs2447961 lBF = `-0.0167582` Chr`8` : `102,481,308`	0.000	1.000	0.000
rs2466104 lBF = `-0.0301253` Chr`8` : `32,410,712`	0.000	1.000	0.000
rs4236709 lBF = `-0.0309197` Chr`8` : `32,410,110`	0.000	1.000	0.000
rs7820838 lBF = `-0.03659` Chr`8` : `32,405,979`	0.000	1.000	0.000
rs7823498 lBF = `-0.037933` Chr`8` : `32,403,573`	0.000	1.000	0.000
rs6468852 lBF = `-0.0911449` Chr`8` : `103,975,989`	0.000	1.000	0.000
rs7828089 lBF = `-0.106178` Chr`8` : `22,264,334`	0.000	1.000	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.000	1.000	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	1.000	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	1.000	0.000
rs7816345 lBF = `1.73833` Chr`8` : `36,846,109`	0.000	1.000	0.000
rs17359493 lBF = `0.171782` Chr`8` : `95,856,911`	0.000	1.000	0.000
rs3763558 lBF = `-0.0260521` Chr`8` : `97,796,731`	0.000	1.000	0.000
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	0.000	1.000	0.000
rs7831697 lBF = `-0.0486747` Chr`8` : `138,136,304`	0.000	1.000	0.000
rs9314614 lBF = `-0.0966588` Chr`8` : `6,697,731`	0.000	1.000	0.000
rs11986220 lBF = `18.5256` Chr`8` : `128,531,689`	0.000	1.000	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.000	1.000	0.000
rs13275219 lBF = `6.32362` Chr`8` : `81,259,826`	0.000	1.000	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	1.000	0.000
rs6986153 lBF = `1.30611` Chr`8` : `108,072,044`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	1.000	0.000
rs569688 lBF = `0.00507678` Chr`8` : `60,961,821`	0.000	1.000	0.000
rs1594829 lBF = `-0.00694046` Chr`8` : `26,206,077`	0.000	1.000	0.000
rs2453452 lBF = `-0.0289907` Chr`8` : `87,879,043`	0.000	1.000	0.000
rs10481151 lBF = `-0.0472283` Chr`8` : `124,831,834`	0.000	1.000	0.000
rs2840445 lBF = `-0.050982` Chr`8` : `5,764,942`	0.000	1.000	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.000	1.000	0.000
rs2294025 lBF = `-0.0824955` Chr`8` : `134,145,512`	0.000	1.000	0.000
rs383592 lBF = `-0.0854935` Chr`8` : `90,804,328`	0.000	1.000	0.000
rs4705 lBF = `-0.0968574` Chr`8` : `17,500,223`	0.000	1.000	0.000
rs330071 lBF = `6.69881` Chr`8` : `9,159,895`	0.000	1.000	0.000
rs7009110 lBF = `4.68843` Chr`8` : `81,291,879`	0.000	1.000	0.000
rs7017914 lBF = `1.95556` Chr`8` : `71,591,203`	0.000	1.000	0.000
rs2169387 lBF = `1.29327` Chr`8` : `9,181,395`	0.000	1.000	0.000
rs73201717 lBF = `0.712049` Chr`8` : `16,682,746`	0.000	1.000	0.000
rs4545046 lBF = `0.327938` Chr`8` : `27,556,526`	0.000	1.000	0.000
rs6472866 lBF = `0.248813` Chr`8` : `75,513,134`	0.000	1.000	0.000
rs2014357 lBF = `0.0898175` Chr`8` : `133,103,290`	0.000	1.000	0.000
rs17057051 lBF = `0.0233128` Chr`8` : `27,227,554`	0.000	1.000	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	1.000	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	1.000	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.000	1.000	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.000	1.000	0.000
rs76809594 lBF = `8.33722` Chr`8` : `25,639,271`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs147305104 lBF = `5.74596` Chr`8` : `81,426,293`	0.000	1.000	0.000
rs2722425 lBF = `0.210439` Chr`8` : `40,484,239`	0.000	1.000	0.000
rs2466035 lBF = `0.0722241` Chr`8` : `128,211,229`	0.000	1.000	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.000	1.000	0.000
rs13281609 lBF = `0.0126291` Chr`8` : `115,324,068`	0.000	1.000	0.000
rs6422354 lBF = `-0.0143532` Chr`8` : `9,438,720`	0.000	1.000	0.000
rs4737395 lBF = `-0.0158619` Chr`8` : `56,599,548`	0.000	1.000	0.000
rs2290416 lBF = `-0.0455999` Chr`8` : `144,657,600`	0.000	1.000	0.000
rs9331896 lBF = `-0.0684502` Chr`8` : `27,467,686`	0.000	1.000	0.000
rs4921799 lBF = `-0.0748329` Chr`8` : `17,507,964`	0.000	1.000	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	1.000	0.000
rs408506 lBF = `7.71018` Chr`8` : `109,154,233`	0.000	1.000	0.000
rs6473223 lBF = `6.12391` Chr`8` : `81,268,155`	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 X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9835

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9787

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9721

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9685

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9615

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9552

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9545

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9538

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9467

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9333

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9263

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9246

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9229

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9229

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9220

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9171

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9143

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9135

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9117

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9090

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9089

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9079

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9072

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9038

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9032

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9019

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8982

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8977

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8954

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8949

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8947

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8881

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8869

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8853

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8836

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8818

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8809

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8808

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8782

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8754

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8726

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8681

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8680

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8678

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8638

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8553

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8502

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8495

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8470

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8455

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8452

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8407

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8388

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8386

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8349

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8349

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8319

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8313

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8297

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8270

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8255

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8241

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8235

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8188

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8150

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8137

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8112

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.8026

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8024

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8022

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7991

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7985

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7948

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7910

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7904

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7902

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7881

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7871

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7858

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7857

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7802

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7790

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7783

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7777

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7742

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7729

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7703

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7695

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7691

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7646

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7631

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7625

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7591

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7564

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7559

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7553

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7538

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7514

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7474

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7470

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7373

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7341

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7335

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7314

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7304

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7193

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7185

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7169

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7168

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7168

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7165

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7154

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7149

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7094

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7061

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7058

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6855

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6853

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6833

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6696

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6687

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6656

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6602

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6503

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6036

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5850

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5796

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5552

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5495

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5339

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5197

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3940

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3175

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3020

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2769

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2323

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1647

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1426

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1252

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0936

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0632

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0598

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0551

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0524

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0508

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0501

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	K00.0 Anodontia K00.1 Supernumerary teeth K00.2 Abnormalities of size and form of teeth K00.3 Mottled teeth K00.4 Disturbances in tooth formation K00.5 Hereditary disturbances in tooth structure, not elsewhere classified K00.6 Disturbances in tooth eruption K00.7 Teething syndrome K00.8 Other disorders of tooth development K00.9 Disorder of tooth development, 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`)