TreeWAS – [K10] Other diseases of jaws

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
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.852	0.148	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.767	0.233	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.714	0.286	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.707	0.293	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.706	0.294	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.701	0.299	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.699	0.301	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.690	0.310	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
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.673	0.327	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.670	0.330	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
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.660	0.339	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`	0.640	0.360	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.629	0.371	0.000
rs987525 lBF = `0.731115` Chr`8` : `129,946,154`	0.620	0.380	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.610	0.390	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.602	0.398	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.601	0.399	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.595	0.404	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.565	0.435	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.560	0.440	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.550	0.450	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.549	0.450	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.545	0.455	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.544	0.456	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.542	0.458	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.537	0.463	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.533	0.466	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.533	0.467	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.526	0.474	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.526	0.474	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.517	0.483	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.502	0.497	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.500	0.500	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
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.494	0.506	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.492	0.507	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.482	0.518	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.473	0.526	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.468	0.532	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.468	0.532	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.462	0.538	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
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.450	0.550	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.446	0.554	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.443	0.557	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
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.430	0.570	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.427	0.573	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.420	0.580	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
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.404	0.596	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.402	0.598	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.398	0.602	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.395	0.605	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	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
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.363	0.637	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`	0.339	0.661	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.333	0.667	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.308	0.692	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
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.298	0.702	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.290	0.709	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.287	0.713	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.281	0.718	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.274	0.726	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.269	0.731	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.268	0.732	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.248	0.752	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.235	0.765	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
rs2466024 lBF = `0.925885` Chr`8` : `128,188,019`	0.203	0.797	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.202	0.798	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
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.187	0.813	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.186	0.814	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.185	0.815	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.184	0.815	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.184	0.816	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.180	0.819	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.175	0.825	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.173	0.827	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.171	0.829	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.156	0.844	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.148	0.852	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.132	0.868	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.129	0.871	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.128	0.872	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.113	0.887	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.110	0.890	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.102	0.898	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.102	0.898	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.101	0.899	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.090	0.910	0.000
rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	0.000	0.911	0.089
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.077	0.923	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.075	0.925	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.067	0.933	0.000
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
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.062	0.937	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.056	0.944	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.054	0.946	0.000
rs9297994 lBF = `15.9783` Chr`8` : `59,392,324`	0.000	0.948	0.052
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.000	0.948	0.052
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.051	0.949	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.050	0.950	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.049	0.951	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.044	0.956	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.042	0.958	0.000
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	0.960	0.040
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.039	0.961	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.038	0.962	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.036	0.964	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.036	0.964	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.034	0.966	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.031	0.969	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.030	0.970	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	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`	0.025	0.975	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.025	0.975	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.024	0.976	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.023	0.976	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.023	0.977	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.022	0.978	0.000
rs17687067 lBF = `0.0484255` Chr`8` : `17,036,201`	0.019	0.981	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.019	0.981	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.019	0.981	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.018	0.981	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.018	0.982	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	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`	0.015	0.984	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.015	0.984	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.015	0.985	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.015	0.985	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.014	0.986	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.014	0.986	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	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
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.012	0.988	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`	0.010	0.990	0.000
rs2975734 lBF = `-0.0286243` Chr`8` : `10,090,097`	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
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	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
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	0.992	0.008
rs11987678 lBF = `-0.0283536` Chr`8` : `81,228,826`	0.008	0.992	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.008	0.992	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.007	0.992	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.007	0.992	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.007	0.993	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.007	0.993	0.000
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.000	0.993	0.007
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.006	0.994	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.006	0.994	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.005	0.994	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
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.005	0.995	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.005	0.995	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.004	0.995	0.001
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.005	0.995	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.004	0.996	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.003	0.996	0.001
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.004	0.996	0.000
rs569688 lBF = `0.00507678` Chr`8` : `60,961,821`	0.004	0.996	0.000
rs2721937 lBF = `-0.0210665` Chr`8` : `116,633,699`	0.000	0.996	0.004
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.004	0.996	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	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
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.003	0.997	0.000
rs11135910 lBF = `0.678122` Chr`8` : `25,892,142`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
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rs10492294 lBF = `0.192993` Chr`8` : `129,246,415`	0.001	0.999	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.000
rs9642880 lBF = `15.7288` Chr`8` : `128,718,068`	0.001	0.999	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.001	0.999	0.000
rs11775334 lBF = `-0.0733365` Chr`8` : `10,071,620`	0.001	0.999	0.000
rs17482753 lBF = `3.23105` Chr`8` : `19,832,646`	0.001	0.999	0.000
rs7814319 lBF = `0.518464` Chr`8` : `97,263,418`	0.001	0.999	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.001	0.999	0.000
rs13256366 lBF = `5.2471` Chr`8` : `23,502,660`	0.001	0.999	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.001	0.999	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.001	0.999	0.000
rs4737547 lBF = `0.194995` Chr`8` : `60,545,664`	0.000	0.999	0.001
rs1594829 lBF = `-0.00694046` Chr`8` : `26,206,077`	0.001	0.999	0.000
rs1015003 lBF = `-0.102741` Chr`8` : `37,096,059`	0.001	0.999	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.000	0.999	0.001
rs4841452 lBF = `6.18226` Chr`8` : `10,687,121`	0.000	0.999	0.001
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.001	0.999	0.000
rs9987289 lBF = `1.05596` Chr`8` : `9,183,358`	0.001	0.999	0.000
rs2736340 lBF = `0.122135` Chr`8` : `11,343,973`	0.000	0.999	0.001
rs112537273 lBF = `0.100864` Chr`8` : `38,248,306`	0.001	0.999	0.000
rs16936870 lBF = `0.00222212` Chr`8` : `71,189,342`	0.001	0.999	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.001	0.999	0.000
rs2449215 lBF = `0.0947357` Chr`8` : `3,488,338`	0.000	0.999	0.001
rs4922199 lBF = `0.0780121` Chr`8` : `20,301,437`	0.001	0.999	0.000
rs2126259 lBF = `0.0711624` Chr`8` : `9,185,146`	0.001	0.999	0.000
rs1461729 lBF = `0.0670221` Chr`8` : `9,187,242`	0.001	0.999	0.000
rs2019960 lBF = `0.040114` Chr`8` : `129,192,271`	0.000	0.999	0.001
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.999	0.000
rs240657 lBF = `-0.00636384` Chr`8` : `15,665,612`	0.001	0.999	0.000
rs984440 lBF = `-0.0265342` Chr`8` : `139,077,728`	0.001	0.999	0.000
rs960089 lBF = `-0.0279175` Chr`8` : `59,708,309`	0.001	0.999	0.000
rs16910486 lBF = `-0.0606078` Chr`8` : `140,352,359`	0.001	0.999	0.000
rs1512268 lBF = `5.83166` Chr`8` : `23,526,463`	0.001	0.999	0.000
rs2736337 lBF = `0.0321259` Chr`8` : `11,341,880`	0.000	0.999	0.001
rs7822232 lBF = `-0.0334663` Chr`8` : `145,145,687`	0.000	0.999	0.001
rs115849089 lBF = `6.47166` Chr`8` : `19,912,370`	0.001	0.999	0.000
rs6469804 lBF = `0.816679` Chr`8` : `120,044,829`	0.001	0.999	0.000
rs11778329 lBF = `0.077655` Chr`8` : `49,053,165`	0.001	0.999	0.000
rs16935110 lBF = `-0.0124358` Chr`8` : `69,730,719`	0.000	0.999	0.001
rs6558295 lBF = `-0.0338702` Chr`8` : `145,139,522`	0.000	0.999	0.001
rs2514805 lBF = `-0.0377243` Chr`8` : `95,167,247`	0.001	0.999	0.000
rs1962073 lBF = `1.72707` Chr`8` : `10,260,553`	0.001	0.999	0.000
rs13277113 lBF = `0.158059` Chr`8` : `11,349,186`	0.000	0.999	0.001
rs4355801 lBF = `0.157347` Chr`8` : `119,923,873`	0.000	0.999	0.001
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.000	0.999	0.000
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.001	0.999	0.000
rs2218488 lBF = `-0.0211408` Chr`8` : `72,263,956`	0.000	0.999	0.001
rs2290416 lBF = `-0.0455999` Chr`8` : `144,657,600`	0.000	0.999	0.000
rs920590 lBF = `-0.0513113` Chr`8` : `19,651,161`	0.001	0.999	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	0.999	0.000
rs4424296 lBF = `0.0647184` Chr`8` : `120,013,276`	0.001	0.999	0.000
rs16939046 lBF = `0.0561149` Chr`8` : `76,147,954`	0.000	0.999	0.000
rs641525 lBF = `0.0234936` Chr`8` : `2,740,502`	0.001	0.999	0.000
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	0.000	0.999	0.000
rs10481151 lBF = `-0.0472283` Chr`8` : `124,831,834`	0.000	0.999	0.000
rs10504229 lBF = `-0.0580822` Chr`8` : `58,196,495`	0.001	0.999	0.000
rs330071 lBF = `6.69881` Chr`8` : `9,159,895`	0.001	0.999	0.000
rs3104964 lBF = `0.0342882` Chr`8` : `96,595,736`	0.001	0.999	0.000
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.001	0.999	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	0.999	0.000
rs2128382 lBF = `-0.0362157` Chr`8` : `130,820,039`	0.000	0.999	0.001
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
rs7836436 lBF = `0.0421154` Chr`8` : `121,006,828`	0.000	0.999	0.000
rs1540507 lBF = `0.0353765` Chr`8` : `3,088,763`	0.000	0.999	0.000
rs2407314 lBF = `0.0128268` Chr`8` : `4,078,353`	0.001	0.999	0.000
rs11995824 lBF = `0.00378026` Chr`8` : `120,012,700`	0.001	0.999	0.000
rs11991744 lBF = `0.00178314` Chr`8` : `124,659,329`	0.000	0.999	0.000
rs7825271 lBF = `-0.0345897` Chr`8` : `69,563,695`	0.000	0.999	0.000
rs2046180 lBF = `-0.0951139` Chr`8` : `74,685,404`	0.000	0.999	0.000
rs1895885 lBF = `-0.102059` Chr`8` : `53,010,530`	0.000	0.999	0.000
rs2121630 lBF = `7.89046` Chr`8` : `128,478,160`	0.000	0.999	0.000
rs2169387 lBF = `1.29327` Chr`8` : `9,181,395`	0.000	0.999	0.000
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.000	0.999	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	0.999	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	0.999	0.000
rs13254600 lBF = `-0.0862594` Chr`8` : `124,089,526`	0.000	0.999	0.000
rs3892512 lBF = `-0.102026` Chr`8` : `53,010,163`	0.000	0.999	0.000
rs3849811 lBF = `-0.102385` Chr`8` : `53,010,152`	0.000	0.999	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	1.000	0.000
rs11993814 lBF = `5.99138` Chr`8` : `81,389,791`	0.000	1.000	0.000
rs12678919 lBF = `1.74917` Chr`8` : `19,844,222`	0.000	1.000	0.000
rs10503669 lBF = `1.21694` Chr`8` : `19,847,690`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs6422354 lBF = `-0.0143532` Chr`8` : `9,438,720`	0.000	1.000	0.000
rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.000	1.000	0.000
rs4281086 lBF = `-0.0825628` Chr`8` : `10,352,308`	0.000	1.000	0.000
rs6601327 lBF = `1.76624` Chr`8` : `9,395,532`	0.000	1.000	0.000
rs2055729 lBF = `0.793112` Chr`8` : `9,792,662`	0.000	1.000	0.000
rs4876662 lBF = `0.186551` Chr`8` : `117,556,270`	0.000	1.000	0.000
rs3105169 lBF = `-0.0153825` Chr`8` : `100,495,639`	0.000	1.000	0.000
rs4737395 lBF = `-0.0158619` Chr`8` : `56,599,548`	0.000	1.000	0.000
rs3763558 lBF = `-0.0260521` Chr`8` : `97,796,731`	0.000	1.000	0.000
rs10097555 lBF = `-0.0673728` Chr`8` : `32,346,295`	0.000	1.000	0.000
rs147305104 lBF = `5.74596` Chr`8` : `81,426,293`	0.000	1.000	0.000
rs1051920 lBF = `5.52554` Chr`8` : `81,438,420`	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 X0261

log Bayes Factor = 420.614

contains 20 variants

0.9998

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9968

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9956

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9956

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9956

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9948

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9937

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9934

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9927

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9856

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9855

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9854

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9820

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9816

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9812

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9793

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9789

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9779

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9754

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9742

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9739

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9729

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9720

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9706

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9699

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9694

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9677

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9652

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9641

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9631

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9624

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9622

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9610

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9599

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9597

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9593

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9589

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9585

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9557

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9544

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9538

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9516

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9500

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9485

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9456

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9444

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9436

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9418

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9356

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9324

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9304

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9265

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9250

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9222

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9207

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9204

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9203

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9179

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9123

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9098

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9076

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9053

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9012

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9012

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8989

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8964

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8925

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8923

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8901

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8891

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8881

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8877

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8868

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8858

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8851

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8845

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8839

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8768

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8722

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8614

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8609

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8600

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8545

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8534

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8531

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8515

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8497

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8435

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8414

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8342

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8340

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8338

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8330

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8289

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8277

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8249

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8241

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8193

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8129

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8045

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7966

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7953

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7946

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7885

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7844

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7842

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7807

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7781

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7722

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7705

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7635

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7615

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7579

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7549

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7312

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7259

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7070

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7068

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6978

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6785

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6622

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6530

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6454

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6394

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6332

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.6321

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6136

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5595

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5149

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5086

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4734

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4543

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4376

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3344

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3234

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3099

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2505

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2279

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1499

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1426

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0850

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0773

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0630

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0605

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0600

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0587

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0513

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	K10.0 Developmental disorders of jaws K10.1 Giant cell granuloma, central K10.2 Inflammatory conditions of jaws K10.3 Alveolitis of jaws K10.8 Other specified diseases of jaws K10.9 Disease of jaws, 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`)