TreeWAS – [K07] Dentofacial anomalies [including malocclusion]

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
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.838	0.162	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.803	0.197	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.761	0.239	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.760	0.240	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.729	0.271	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.720	0.280	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.719	0.281	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.717	0.283	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.717	0.283	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.709	0.291	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.706	0.294	0.000
rs987525 lBF = `0.731115` Chr`8` : `129,946,154`	0.699	0.301	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.694	0.306	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.693	0.307	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.680	0.320	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.670	0.330	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.651	0.349	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.649	0.351	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.640	0.360	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.637	0.363	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.614	0.386	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.611	0.389	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.608	0.392	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.608	0.392	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.601	0.399	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.600	0.400	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.596	0.404	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.595	0.404	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.593	0.407	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`	0.573	0.427	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.558	0.442	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.550	0.450	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.529	0.470	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.529	0.471	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.526	0.474	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.515	0.485	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.515	0.485	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.507	0.493	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.506	0.494	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.499	0.501	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
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.482	0.518	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.478	0.522	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.474	0.526	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.462	0.538	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.460	0.540	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.458	0.542	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.455	0.545	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.455	0.545	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.452	0.548	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.443	0.557	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.440	0.560	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.439	0.561	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.431	0.569	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.430	0.569	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.428	0.572	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.425	0.575	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.422	0.578	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.420	0.580	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.410	0.590	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.405	0.595	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.397	0.603	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.397	0.603	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.393	0.607	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.392	0.608	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
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.350	0.649	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.351	0.649	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.350	0.649	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.326	0.674	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.326	0.674	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.320	0.679	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.313	0.687	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.299	0.700	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.290	0.709	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.286	0.714	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.283	0.717	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.277	0.723	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.266	0.734	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.261	0.739	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.260	0.740	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.253	0.747	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.240	0.760	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.221	0.779	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.218	0.782	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.208	0.792	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.198	0.802	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.195	0.804	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.185	0.815	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.184	0.816	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.180	0.819	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.178	0.821	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.170	0.830	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.167	0.833	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.167	0.833	0.000
rs2466024 lBF = `0.925885` Chr`8` : `128,188,019`	0.161	0.839	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.156	0.844	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.156	0.844	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.142	0.858	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.137	0.863	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.131	0.869	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.131	0.869	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.128	0.872	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.126	0.874	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.114	0.886	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.110	0.890	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.106	0.893	0.000
rs9297994 lBF = `15.9783` Chr`8` : `59,392,324`	0.000	0.894	0.106
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.000	0.894	0.106
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.101	0.899	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.095	0.904	0.001
rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	0.000	0.912	0.088
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.079	0.921	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.073	0.927	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.072	0.928	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.068	0.932	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.068	0.932	0.000
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	0.933	0.067
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.933	0.067
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.064	0.936	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.059	0.941	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.058	0.941	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.051	0.949	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.050	0.950	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.040	0.960	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.040	0.960	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.039	0.961	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.038	0.962	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.037	0.963	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.036	0.964	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.033	0.967	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.032	0.967	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.028	0.969	0.002
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.031	0.969	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.031	0.969	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.030	0.970	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.030	0.970	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.028	0.972	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.026	0.974	0.000
rs7832552 lBF = `0.545151` Chr`8` : `110,115,676`	0.023	0.977	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.022	0.978	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.021	0.979	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.020	0.980	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.019	0.981	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.017	0.982	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.017	0.983	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.016	0.984	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.016	0.984	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.016	0.984	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.016	0.984	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.015	0.984	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.015	0.985	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.015	0.985	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.014	0.986	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.013	0.987	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.013	0.987	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.012	0.987	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.012	0.988	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.988	0.011
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
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	0.991	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
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.009	0.991	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.008	0.991	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`	0.008	0.992	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.008	0.992	0.000
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.000	0.993	0.007
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.007	0.993	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.007	0.993	0.000
rs2085629 lBF = `0.278336` Chr`8` : `110,228,044`	0.006	0.994	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.006	0.994	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.005	0.995	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.005	0.995	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.005	0.995	0.000
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.000	0.995	0.005
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.005	0.995	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.005	0.995	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.005	0.995	0.000
rs10956445 lBF = `0.167391` Chr`8` : `129,787,976`	0.000	0.995	0.005
rs2721937 lBF = `-0.0210665` Chr`8` : `116,633,699`	0.000	0.996	0.004
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.004	0.996	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.004	0.996	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.003	0.996	0.002
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.004	0.996	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.004	0.996	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.004	0.996	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.004	0.996	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.004	0.996	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.003	0.996	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.002	0.996	0.001
rs6422354 lBF = `-0.0143532` Chr`8` : `9,438,720`	0.000	0.997	0.003
rs2055729 lBF = `0.793112` Chr`8` : `9,792,662`	0.000	0.997	0.003
rs13276960 lBF = `-0.0479738` Chr`8` : `103,908,004`	0.003	0.997	0.000
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rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.001	0.999	0.000
rs17126232 lBF = `-0.0593424` Chr`8` : `17,977,650`	0.001	0.999	0.000
rs4493873 lBF = `-0.0878362` Chr`8` : `92,075,643`	0.000	0.999	0.001
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.001	0.999	0.000
rs515071 lBF = `7.87657` Chr`8` : `41,519,462`	0.001	0.999	0.000
rs1030420 lBF = `0.105037` Chr`8` : `67,360,725`	0.000	0.999	0.001
rs11777116 lBF = `0.029769` Chr`8` : `24,044,301`	0.001	0.999	0.000
rs263232 lBF = `-0.00009044` Chr`8` : `131,808,169`	0.001	0.999	0.000
rs4737395 lBF = `-0.0158619` Chr`8` : `56,599,548`	0.001	0.999	0.000
rs4738393 lBF = `-0.0579748` Chr`8` : `56,599,777`	0.001	0.999	0.000
rs301 lBF = `5.37678` Chr`8` : `19,816,934`	0.000	0.999	0.001
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.001	0.999	0.000
rs4735738 lBF = `0.0576628` Chr`8` : `77,611,625`	0.000	0.999	0.001
rs17687067 lBF = `0.0484255` Chr`8` : `17,036,201`	0.000	0.999	0.001
rs859812 lBF = `-0.0141918` Chr`8` : `5,593,810`	0.000	0.999	0.001
rs28834970 lBF = `-0.0720231` Chr`8` : `27,195,121`	0.000	0.999	0.001
rs6986153 lBF = `1.30611` Chr`8` : `108,072,044`	0.000	0.999	0.001
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.001	0.999	0.000
rs4734806 lBF = `0.0295291` Chr`8` : `105,700,680`	0.000	0.999	0.001
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	0.999	0.000
rs13268726 lBF = `-0.0085601` Chr`8` : `126,013,134`	0.001	0.999	0.000
rs960089 lBF = `-0.0279175` Chr`8` : `59,708,309`	0.000	0.999	0.000
rs516946 lBF = `7.57641` Chr`8` : `41,519,248`	0.001	0.999	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	0.999	0.000
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	0.000	0.999	0.000
rs17405819 lBF = `-0.0363693` Chr`8` : `76,806,584`	0.001	0.999	0.000
rs4500123 lBF = `-0.0406507` Chr`8` : `92,970,153`	0.001	0.999	0.000
rs6559140 lBF = `-0.0639266` Chr`8` : `6,152,919`	0.000	0.999	0.001
rs1390943 lBF = `-0.0869074` Chr`8` : `20,081,890`	0.000	0.999	0.001
rs9642880 lBF = `15.7288` Chr`8` : `128,718,068`	0.000	0.999	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.000	0.999	0.000
rs56005245 lBF = `9.35561` Chr`8` : `128,113,426`	0.000	0.999	0.000
rs7813489 lBF = `9.06018` Chr`8` : `25,749,405`	0.000	0.999	0.001
rs2048656 lBF = `2.78992` Chr`8` : `9,644,659`	0.000	0.999	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	0.999	0.000
rs12545912 lBF = `0.193794` Chr`8` : `9,601,699`	0.000	0.999	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.000	0.999	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	0.999	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	0.999	0.000
rs7013415 lBF = `-0.0431174` Chr`8` : `73,038,451`	0.000	0.999	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.000	1.000	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	1.000	0.000
rs7834765 lBF = `0.833868` Chr`8` : `122,275,906`	0.000	1.000	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs977396 lBF = `-0.0388677` Chr`8` : `105,992,696`	0.000	1.000	0.000
rs10481151 lBF = `-0.0472283` Chr`8` : `124,831,834`	0.000	1.000	0.000
rs7000447 lBF = `-0.0862948` Chr`8` : `131,523,283`	0.000	1.000	0.000
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.000	1.000	0.000
rs11783655 lBF = `0.0811694` Chr`8` : `145,037,573`	0.000	1.000	0.000
rs2360806 lBF = `0.00648987` Chr`8` : `53,125,734`	0.000	1.000	0.000
rs12546767 lBF = `-0.0108878` Chr`8` : `126,082,565`	0.000	1.000	0.000
rs10503672 lBF = `-0.0327502` Chr`8` : `19,987,703`	0.000	1.000	0.000
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	0.000	1.000	0.000
rs7834588 lBF = `-0.055575` Chr`8` : `63,883,593`	0.000	1.000	0.000
rs12541437 lBF = `-0.072864` Chr`8` : `117,918,897`	0.000	1.000	0.000
rs2160860 lBF = `-0.0874814` Chr`8` : `39,823,145`	0.000	1.000	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	1.000	0.000
rs4917300 lBF = `0.249` Chr`8` : `143,121,671`	0.000	1.000	0.000
rs4922199 lBF = `0.0780121` Chr`8` : `20,301,437`	0.000	1.000	0.000
rs16939046 lBF = `0.0561149` Chr`8` : `76,147,954`	0.000	1.000	0.000
rs231147 lBF = `0.00450035` Chr`8` : `116,417,563`	0.000	1.000	0.000
rs11988997 lBF = `-0.0083682` Chr`8` : `119,766,194`	0.000	1.000	0.000
rs10113215 lBF = `-0.0808529` Chr`8` : `60,132,194`	0.000	1.000	0.000
rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.000	1.000	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	1.000	0.000
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	1.000	0.000
rs2014357 lBF = `0.0898175` Chr`8` : `133,103,290`	0.000	1.000	0.000
rs7836436 lBF = `0.0421154` Chr`8` : `121,006,828`	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
rs76115211 lBF = `-0.0328686` Chr`8` : `66,134,454`	0.000	1.000	0.000
rs2610025 lBF = `-0.101587` Chr`8` : `57,505,313`	0.000	1.000	0.000
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	1.000	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.000	1.000	0.000
rs2126259 lBF = `0.0711624` Chr`8` : `9,185,146`	0.000	1.000	0.000
rs3816063 lBF = `0.037678` Chr`8` : `142,161,064`	0.000	1.000	0.000
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.000	1.000	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	1.000	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	1.000	0.000
rs2003880 lBF = `-0.0164642` Chr`8` : `6,788,102`	0.000	1.000	0.000
rs7844919 lBF = `-0.0281267` Chr`8` : `2,226,153`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	1.000	0.000
rs4876662 lBF = `0.186551` Chr`8` : `117,556,270`	0.000	1.000	0.000
rs10504906 lBF = `0.0985992` Chr`8` : `92,418,628`	0.000	1.000	0.000
rs13279485 lBF = `-0.0737486` Chr`8` : `1,883,352`	0.000	1.000	0.000
rs28680850 lBF = `-0.07512` Chr`8` : `1,373,720`	0.000	1.000	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.000	1.000	0.000
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.000	1.000	0.000
rs295 lBF = `5.95375` Chr`8` : `19,816,238`	0.000	1.000	0.000
rs7819937 lBF = `0.532275` Chr`8` : `3,118,779`	0.000	1.000	0.000
rs6984305 lBF = `0.260009` Chr`8` : `9,178,268`	0.000	1.000	0.000
rs2278491 lBF = `0.182751` Chr`8` : `117,656,871`	0.000	1.000	0.000
rs2347503 lBF = `0.00629633` Chr`8` : `32,232,827`	0.000	1.000	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	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 X0150

log Bayes Factor = 861.091

contains 26 variants

0.9993

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9987

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9951

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9941

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9939

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9933

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9858

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9848

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9833

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9796

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9729

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9706

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9704

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9679

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9645

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9606

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9537

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9526

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9516

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9478

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9452

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9450

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9438

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9431

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9364

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9352

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9334

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9327

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9301

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9301

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9289

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9252

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9236

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9213

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9194

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9181

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9165

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9093

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9087

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9082

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9075

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9036

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9018

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8998

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8967

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8958

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8933

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8923

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8913

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8891

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8873

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8805

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8787

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8762

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8744

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8727

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.8721

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8719

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8659

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8629

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8624

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8513

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8452

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8434

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8383

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8361

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8350

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8272

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8268

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8215

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8141

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8131

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8078

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8052

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8029

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7877

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7854

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7724

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7715

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7697

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7572

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7516

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7463

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7449

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7422

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7414

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7348

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7337

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7333

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7288

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7239

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7134

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7090

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6977

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6832

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6824

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6813

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6659

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6618

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6523

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6484

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6455

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6364

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6305

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6285

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6264

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6259

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6183

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6170

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6150

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6134

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5951

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5886

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5793

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5764

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5502

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5298

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5215

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5151

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4700

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4692

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4623

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4610

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4477

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4476

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4471

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4158

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4104

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3818

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3673

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3656

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3651

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3629

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3621

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3303

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2502

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2365

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2083

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2069

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1615

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1108

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0896

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0821

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0566

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0550

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0549

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0530

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	K07.0 Major anomalies of jaw size K07.1 Anomalies of jaw-cranial base relationship K07.2 Anomalies of dental arch relationship K07.3 Anomalies of tooth position K07.4 Malocclusion, unspecified K07.5 Dentofacial functional abnormalities K07.6 Temporomandibular joint disorders K07.8 Other dentofacial anomalies K07.9 Dentofacial anomaly, 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`)