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
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.846	0.154	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.835	0.165	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.830	0.170	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.827	0.173	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.788	0.212	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.768	0.232	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.767	0.233	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.766	0.234	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.763	0.237	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.731	0.269	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.731	0.269	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.729	0.271	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.729	0.271	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.723	0.277	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.721	0.279	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.700	0.300	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.697	0.303	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.692	0.308	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.689	0.311	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.688	0.312	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.687	0.313	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.679	0.320	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.679	0.321	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.665	0.335	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.655	0.345	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.640	0.360	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.631	0.369	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.630	0.370	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.627	0.373	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.621	0.379	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.619	0.381	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.610	0.390	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.609	0.391	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.607	0.393	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.607	0.393	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.598	0.401	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.587	0.413	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.568	0.432	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.552	0.448	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.552	0.448	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.549	0.451	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.540	0.459	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.540	0.460	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.540	0.460	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.529	0.471	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.528	0.472	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.513	0.487	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.513	0.487	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.509	0.491	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.508	0.491	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.502	0.498	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.498	0.502	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.494	0.506	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.489	0.511	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.474	0.526	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.435	0.564	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.432	0.568	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.430	0.569	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.424	0.576	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.422	0.578	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.411	0.589	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.410	0.590	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.400	0.600	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.388	0.612	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.380	0.620	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.379	0.620	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.378	0.622	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.375	0.625	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.374	0.626	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.371	0.629	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.366	0.634	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.363	0.637	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.360	0.640	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.356	0.643	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.355	0.645	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.352	0.648	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.346	0.654	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.337	0.663	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.330	0.670	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.326	0.674	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.318	0.682	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.316	0.684	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.311	0.689	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.311	0.689	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.311	0.689	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.307	0.693	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.284	0.716	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.283	0.717	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.282	0.718	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.274	0.726	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.273	0.727	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.272	0.728	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.270	0.730	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.259	0.741	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.250	0.749	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.248	0.752	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.240	0.759	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.239	0.761	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.237	0.762	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.231	0.769	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.230	0.770	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.225	0.775	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.220	0.780	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.218	0.782	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.198	0.802	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.178	0.822	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.164	0.836	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.163	0.837	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.162	0.838	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.155	0.845	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.154	0.846	0.001
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.136	0.863	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.127	0.873	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.127	0.873	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.110	0.889	0.000
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.109	0.891	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.109	0.891	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.106	0.894	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.105	0.895	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.105	0.895	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.099	0.901	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.090	0.910	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.088	0.912	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.087	0.912	0.000
rs11765845 lBF = `0.0405264` Chr`7` : `28,391,142`	0.086	0.914	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.078	0.922	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.077	0.922	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.074	0.926	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.070	0.929	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.068	0.931	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.068	0.932	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.067	0.933	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.067	0.933	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.066	0.933	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.066	0.934	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.064	0.935	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.060	0.940	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.943	0.057
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.053	0.947	0.000
rs73198345 lBF = `5.03536` Chr`7` : `87,125,643`	0.000	0.953	0.047
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.046	0.954	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.043	0.957	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.040	0.959	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.040	0.960	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.038	0.962	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.035	0.964	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.035	0.964	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.035	0.965	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.034	0.965	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.034	0.966	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.033	0.967	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.031	0.969	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.031	0.969	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.028	0.971	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.025	0.974	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.024	0.976	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.024	0.976	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.023	0.977	0.000
rs74757156 lBF = `0.00664412` Chr`7` : `136,238,782`	0.023	0.977	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.021	0.979	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.020	0.980	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.020	0.980	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.019	0.980	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.019	0.981	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.019	0.981	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.019	0.981	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.018	0.982	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.018	0.982	0.000
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.016	0.984	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.015	0.984	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.015	0.985	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.014	0.985	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.012	0.987	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.011	0.989	0.000
rs10486715 lBF = `0.636577` Chr`7` : `41,478,608`	0.010	0.990	0.000
rs10251504 lBF = `4.19265` Chr`7` : `77,689,888`	0.010	0.990	0.000
rs10274279 lBF = `-0.0023117` Chr`7` : `157,387,441`	0.010	0.990	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.009	0.990	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.009	0.990	0.000
rs6943555 lBF = `0.36036` Chr`7` : `69,806,023`	0.000	0.991	0.009
rs10155855 lBF = `0.225808` Chr`7` : `111,328,397`	0.008	0.991	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.008	0.992	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.008	0.992	0.000
rs13437751 lBF = `-0.0237981` Chr`7` : `63,346,886`	0.008	0.992	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.008	0.992	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.007	0.993	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.007	0.993	0.000
rs17170316 lBF = `0.267614` Chr`7` : `33,673,265`	0.007	0.993	0.000
rs116864947 lBF = `0.580102` Chr`7` : `11,705,786`	0.007	0.993	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.007	0.993	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.006	0.993	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.006	0.993	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.006	0.994	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.006	0.994	0.000
rs28581422 lBF = `0.0287139` Chr`7` : `121,258,371`	0.006	0.994	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.006	0.994	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.006	0.994	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.005	0.994	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.005	0.995	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.005	0.995	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.005	0.995	0.000
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rs2023938 lBF = `9.96245` Chr`7` : `19,036,775`	0.000	0.999	0.001
rs13245690 lBF = `0.168715` Chr`7` : `120,785,064`	0.001	0.999	0.000
rs13223036 lBF = `0.072373` Chr`7` : `120,747,308`	0.001	0.999	0.000
rs550448 lBF = `0.0595546` Chr`7` : `28,229,042`	0.001	0.999	0.000
rs7805803 lBF = `0.0296733` Chr`7` : `50,225,391`	0.001	0.999	0.000
rs6465468 lBF = `0.0103626` Chr`7` : `95,169,514`	0.001	0.999	0.000
rs10255878 lBF = `0.00887956` Chr`7` : `97,017,795`	0.000	0.999	0.001
rs142857449 lBF = `0.552909` Chr`7` : `85,048,380`	0.000	0.999	0.000
rs4727012 lBF = `0.285571` Chr`7` : `148,740,493`	0.001	0.999	0.000
rs6974491 lBF = `0.112356` Chr`7` : `37,374,510`	0.001	0.999	0.000
rs34610745 lBF = `0.074074` Chr`7` : `43,334,575`	0.001	0.999	0.000
rs73082373 lBF = `0.00982802` Chr`7` : `22,994,186`	0.001	0.999	0.000
rs28671666 lBF = `-0.086827` Chr`7` : `12,184,430`	0.000	0.999	0.001
rs10232170 lBF = `7.08309` Chr`7` : `34,181,522`	0.000	0.999	0.001
rs262147 lBF = `0.0594047` Chr`7` : `158,745,142`	0.001	0.999	0.000
rs35681285 lBF = `0.337815` Chr`7` : `16,326,646`	0.001	0.999	0.000
rs10226308 lBF = `0.026681` Chr`7` : `37,938,422`	0.001	0.999	0.000
rs7793359 lBF = `-0.0431785` Chr`7` : `73,964,235`	0.001	0.999	0.000
rs798336 lBF = `-0.0612284` Chr`7` : `77,914,343`	0.001	0.999	0.000
rs6463843 lBF = `-0.104671` Chr`7` : `8,838,717`	0.000	0.999	0.001
rs2908004 lBF = `5.95575` Chr`7` : `120,969,769`	0.001	0.999	0.000
rs12155172 lBF = `0.184424` Chr`7` : `20,994,491`	0.001	0.999	0.000
rs6943931 lBF = `0.177251` Chr`7` : `22,414,646`	0.000	0.999	0.001
rs12700667 lBF = `0.127874` Chr`7` : `25,901,639`	0.001	0.999	0.000
rs17172185 lBF = `0.0547141` Chr`7` : `43,286,839`	0.001	0.999	0.000
rs2108258 lBF = `0.0454752` Chr`7` : `20,791,998`	0.001	0.999	0.000
rs12155400 lBF = `-0.00122946` Chr`7` : `18,428,921`	0.001	0.999	0.000
rs2530545 lBF = `-0.0195453` Chr`7` : `34,697,140`	0.000	0.999	0.001
rs6975557 lBF = `-0.049338` Chr`7` : `107,973,297`	0.000	0.999	0.001
rs10949808 lBF = `-0.0664367` Chr`7` : `156,048,649`	0.000	0.999	0.001
rs1429524 lBF = `-0.104038` Chr`7` : `90,944,268`	0.000	0.999	0.001
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.000	0.999	0.000
rs11984041 lBF = `12.4243` Chr`7` : `19,031,935`	0.000	0.999	0.001
rs146883444 lBF = `0.177148` Chr`7` : `147,616,793`	0.000	0.999	0.000
rs186314186 lBF = `-0.0129726` Chr`7` : `107,855,563`	0.000	0.999	0.000
rs62468398 lBF = `-0.0349589` Chr`7` : `131,893,485`	0.000	0.999	0.000
rs11984145 lBF = `-0.0401512` Chr`7` : `38,835,035`	0.001	0.999	0.000
rs73098786 lBF = `0.057661` Chr`7` : `35,022,971`	0.000	0.999	0.000
rs10245124 lBF = `0.034532` Chr`7` : `8,642,354`	0.000	0.999	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	0.999	0.000
rs28375034 lBF = `-0.0052452` Chr`7` : `132,886,052`	0.000	0.999	0.000
rs2530544 lBF = `-0.0302503` Chr`7` : `34,697,060`	0.000	0.999	0.001
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.000	0.999	0.000
rs57104699 lBF = `1.26363` Chr`7` : `21,928,079`	0.000	0.999	0.000
rs34670419 lBF = `1.0504` Chr`7` : `99,130,834`	0.000	0.999	0.000
rs4727338 lBF = `0.165558` Chr`7` : `96,120,675`	0.001	0.999	0.000
rs7781370 lBF = `0.165135` Chr`7` : `96,133,531`	0.001	0.999	0.000
rs1178326 lBF = `0.0154231` Chr`7` : `18,234,857`	0.000	0.999	0.000
rs10486003 lBF = `-0.0197037` Chr`7` : `97,229,778`	0.000	0.999	0.000
rs2159222 lBF = `-0.0532634` Chr`7` : `15,758,000`	0.000	0.999	0.000
rs112509803 lBF = `-0.0535342` Chr`7` : `24,735,004`	0.000	0.999	0.000
rs6461992 lBF = `9.14097` Chr`7` : `27,220,831`	0.000	0.999	0.000
rs4729260 lBF = `0.249851` Chr`7` : `96,117,918`	0.000	0.999	0.000
rs10256972 lBF = `0.0795853` Chr`7` : `1,039,003`	0.000	0.999	0.000
rs10499504 lBF = `0.0230266` Chr`7` : `17,561,583`	0.000	0.999	0.000
rs12701220 lBF = `-0.0366596` Chr`7` : `1,022,728`	0.000	0.999	0.000
rs4148689 lBF = `-0.0473211` Chr`7` : `117,143,602`	0.000	0.999	0.000
rs11562045 lBF = `5.52176` Chr`7` : `134,592,554`	0.000	1.000	0.000
rs10275044 lBF = `0.0741263` Chr`7` : `1,273,845`	0.000	1.000	0.000
rs4948088 lBF = `-0.00280588` Chr`7` : `51,027,194`	0.000	1.000	0.000
rs9918508 lBF = `-0.0119322` Chr`7` : `9,539,279`	0.000	1.000	0.000
rs56357845 lBF = `-0.0143162` Chr`7` : `29,250,268`	0.000	1.000	0.000
rs343064 lBF = `-0.0528877` Chr`7` : `35,554,788`	0.000	1.000	0.000
rs4236274 lBF = `-0.0961941` Chr`7` : `1,896,413`	0.000	1.000	0.000
rs17398575 lBF = `1.4379` Chr`7` : `106,409,452`	0.000	1.000	0.000
rs140104968 lBF = `0.178321` Chr`7` : `99,543,627`	0.000	1.000	0.000
rs6945749 lBF = `0.105941` Chr`7` : `31,363,251`	0.000	1.000	0.000
rs185203327 lBF = `0.0670427` Chr`7` : `44,849,435`	0.000	1.000	0.000
rs79846815 lBF = `0.0597949` Chr`7` : `134,563,570`	0.000	1.000	0.000
rs7789850 lBF = `0.0146769` Chr`7` : `141,300,611`	0.000	1.000	0.000
rs758944 lBF = `0.0139903` Chr`7` : `75,953,297`	0.000	1.000	0.000
rs7779014 lBF = `0.00757953` Chr`7` : `75,975,586`	0.000	1.000	0.000
rs6956740 lBF = `-0.00046026` Chr`7` : `45,903,807`	0.000	1.000	0.000
rs41279633 lBF = `-0.0197736` Chr`7` : `44,580,876`	0.000	1.000	0.000
rs2072183 lBF = `-0.0545491` Chr`7` : `44,579,180`	0.000	1.000	0.000
rs11185603 lBF = `-0.0567723` Chr`7` : `50,306,810`	0.000	1.000	0.000
rs11764932 lBF = `-0.078604` Chr`7` : `15,733,118`	0.000	1.000	0.000
rs4492324 lBF = `-0.0940159` Chr`7` : `49,633,802`	0.000	1.000	0.000
rs2888830 lBF = `-0.117204` Chr`7` : `90,915,354`	0.000	1.000	0.000
rs12537284 lBF = `0.43778` Chr`7` : `128,717,906`	0.000	1.000	0.000
rs17149161 lBF = `0.0684512` Chr`7` : `75,978,229`	0.000	1.000	0.000
rs13245023 lBF = `0.0549758` Chr`7` : `20,885,095`	0.000	1.000	0.000
rs7789940 lBF = `-0.00322984` Chr`7` : `75,951,230`	0.000	1.000	0.000
rs192739715 lBF = `-0.00435293` Chr`7` : `52,165,757`	0.000	1.000	0.000
rs42648 lBF = `-0.0763256` Chr`7` : `89,977,760`	0.000	1.000	0.000
rs180242 lBF = `-0.111675` Chr`7` : `93,549,596`	0.000	1.000	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.000	1.000	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.000	1.000	0.000
rs11763353 lBF = `0.0891276` Chr`7` : `15,630,871`	0.000	1.000	0.000
rs17159640 lBF = `0.0353809` Chr`7` : `112,086,333`	0.000	1.000	0.000
rs10242455 lBF = `0.0298758` Chr`7` : `99,240,179`	0.000	1.000	0.000
rs62459614 lBF = `0.016292` Chr`7` : `70,587,145`	0.000	1.000	0.000
rs62496419 lBF = `0.00715181` Chr`7` : `96,979,659`	0.000	1.000	0.000
rs1403155 lBF = `-0.00674804` Chr`7` : `68,050,413`	0.000	1.000	0.000
rs2227667 lBF = `-0.0212721` Chr`7` : `100,774,749`	0.000	1.000	0.000
rs4720952 lBF = `-0.0385969` Chr`7` : `11,291,400`	0.000	1.000	0.000
rs4917014 lBF = `-0.0588672` Chr`7` : `50,305,863`	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`)