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
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.783	0.217	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.769	0.231	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.750	0.250	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.731	0.269	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.716	0.284	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.702	0.298	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.699	0.301	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.689	0.311	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.687	0.313	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.673	0.327	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.668	0.332	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.667	0.333	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.649	0.351	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.646	0.354	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.630	0.370	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.624	0.376	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.617	0.383	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.613	0.387	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.610	0.390	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.587	0.413	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.566	0.434	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.525	0.475	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.511	0.489	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.487	0.513	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.465	0.534	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.452	0.547	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.413	0.586	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.409	0.591	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.407	0.593	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.405	0.595	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.403	0.597	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.399	0.600	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.361	0.638	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.340	0.660	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.327	0.672	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.316	0.684	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.315	0.685	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.312	0.688	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.285	0.715	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.276	0.724	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.272	0.728	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.254	0.746	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.244	0.756	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.225	0.775	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.203	0.797	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.196	0.804	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.194	0.806	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.185	0.814	0.001
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.185	0.815	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.170	0.830	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.169	0.831	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.167	0.833	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.151	0.849	0.001
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.149	0.850	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.148	0.852	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.145	0.855	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.130	0.870	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.127	0.873	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.106	0.894	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.092	0.908	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.090	0.910	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.089	0.911	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.071	0.928	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.070	0.929	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.060	0.940	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.057	0.943	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.050	0.950	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.048	0.952	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.047	0.953	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.047	0.953	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.044	0.956	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.039	0.960	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.036	0.964	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.032	0.968	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.030	0.970	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.030	0.970	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.030	0.970	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.027	0.973	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.026	0.973	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.026	0.973	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.026	0.974	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.026	0.974	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.026	0.974	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.016	0.984	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.015	0.984	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.015	0.985	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.013	0.986	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.013	0.987	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.012	0.987	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.012	0.988	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.012	0.988	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.011	0.989	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.010	0.989	0.001
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.010	0.989	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.010	0.990	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.010	0.990	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.010	0.990	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.009	0.991	0.000
rs3794742 lBF = `-0.0439897` Chr`17` : `76,165,548`	0.000	0.991	0.009
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.007	0.993	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.006	0.993	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.006	0.993	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.007	0.993	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.006	0.994	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.006	0.994	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.006	0.994	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.005	0.994	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.005	0.994	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.005	0.995	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.005	0.995	0.000
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.004	0.995	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.004	0.996	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.004	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.004	0.996	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.003	0.997	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.003	0.997	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.003	0.997	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.997	0.003
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.003	0.997	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.003	0.997	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.003	0.997	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.003	0.997	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.002	0.997	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.002	0.998	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.002	0.998	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.002	0.998	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.002	0.998	0.000
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.000	0.998	0.002
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.000	0.998	0.002
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.002	0.998	0.000
rs4794820 lBF = `9.98152` Chr`17` : `38,089,344`	0.002	0.998	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.002	0.998	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	0.998	0.002
rs892961 lBF = `-0.100491` Chr`17` : `75,400,100`	0.002	0.998	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.000	0.998	0.002
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.000	0.998	0.002
rs1503059 lBF = `-0.0679629` Chr`17` : `50,204,456`	0.000	0.998	0.002
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.001	0.998	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.001	0.998	0.000
rs11867479 lBF = `-0.0010545` Chr`17` : `68,090,207`	0.002	0.998	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	0.000	0.998	0.001
rs9908102 lBF = `0.0664821` Chr`17` : `12,896,553`	0.001	0.998	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	0.999	0.001
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.000	0.999	0.001
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	0.999	0.001
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	0.999	0.001
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.001	0.999	0.001
rs907092 lBF = `10.6486` Chr`17` : `37,922,259`	0.000	0.999	0.001
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.999	0.001
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.001	0.999	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.001	0.999	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.001	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.001	0.999	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.001	0.999	0.000
rs1035050 lBF = `-0.0589331` Chr`17` : `47,564,012`	0.000	0.999	0.001
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.001	0.999	0.000
rs1354492 lBF = `-0.0878239` Chr`17` : `31,737,421`	0.001	0.999	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs17736589 lBF = `-0.0669878` Chr`17` : `76,737,118`	0.001	0.999	0.000
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs116885154 lBF = `-0.00001053` Chr`17` : `71,784,375`	0.001	0.999	0.000
rs12453524 lBF = `-0.00003894` Chr`17` : `66,575,117`	0.000	0.999	0.001
rs4795405 lBF = `11.8075` Chr`17` : `38,088,417`	0.000	0.999	0.001
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.001	0.999	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.001	0.999	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.001	0.999	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.001	0.999	0.000
rs6761 lBF = `0.117299` Chr`17` : `7,417,663`	0.000	0.999	0.001
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rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	1.000	0.000
rs72823592 lBF = `0.0220647` Chr`17` : `46,123,004`	0.000	1.000	0.000
rs4144743 lBF = `-0.00182064` Chr`17` : `45,323,125`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs623011 lBF = `-0.0326514` Chr`17` : `68,259,446`	0.000	1.000	0.000
rs271674 lBF = `-0.0396692` Chr`17` : `47,978,986`	0.000	1.000	0.000
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.000	1.000	0.000
rs28998802 lBF = `-0.0455744` Chr`17` : `26,124,908`	0.000	1.000	0.000
rs3744790 lBF = `-0.0514657` Chr`17` : `76,893,135`	0.000	1.000	0.000
rs4351 lBF = `-0.0708325` Chr`17` : `61,569,732`	0.000	1.000	0.000
rs7210837 lBF = `-0.0787942` Chr`17` : `16,764,978`	0.000	1.000	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.000	1.000	0.000
rs9303280 lBF = `13.2746` Chr`17` : `38,074,031`	0.000	1.000	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.000	1.000	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.000	1.000	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.000	1.000	0.000
rs415430 lBF = `3.99129` Chr`17` : `44,859,144`	0.000	1.000	0.000
rs199515 lBF = `3.83286` Chr`17` : `44,856,641`	0.000	1.000	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	1.000	0.000
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.000	1.000	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	1.000	0.000
rs12453914 lBF = `0.0421126` Chr`17` : `67,138,878`	0.000	1.000	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs7503807 lBF = `0.0141674` Chr`17` : `78,591,111`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	1.000	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	1.000	0.000
rs312691 lBF = `-0.00062114` Chr`17` : `68,326,338`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	1.000	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	1.000	0.000
rs7224668 lBF = `-0.0447813` Chr`17` : `79,235,788`	0.000	1.000	0.000
rs227726 lBF = `-0.0638644` Chr`17` : `54,777,585`	0.000	1.000	0.000
rs7217319 lBF = `-0.0860359` Chr`17` : `38,924`	0.000	1.000	0.000
rs2190547 lBF = `-0.105046` Chr`17` : `68,929,435`	0.000	1.000	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.000	1.000	0.000
rs4795406 lBF = `6.87863` Chr`17` : `38,100,134`	0.000	1.000	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.000	1.000	0.000
rs7212938 lBF = `5.09178` Chr`17` : `38,122,680`	0.000	1.000	0.000
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs2079742 lBF = `0.0444277` Chr`17` : `59,465,697`	0.000	1.000	0.000
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	1.000	0.000
rs8065311 lBF = `-0.0275393` Chr`17` : `54,203,360`	0.000	1.000	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.000	1.000	0.000
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.000	1.000	0.000
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.000	1.000	0.000
rs8066857 lBF = `-0.0364293` Chr`17` : `70,696,103`	0.000	1.000	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	1.000	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.000	1.000	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.000	1.000	0.000
rs3751972 lBF = `0.408036` Chr`17` : `26,206,414`	0.000	1.000	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.000	1.000	0.000
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.000	1.000	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	1.000	0.000
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs1107748 lBF = `-0.0292036` Chr`17` : `41,773,814`	0.000	1.000	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.000	1.000	0.000
rs3027247 lBF = `-0.0497048` Chr`17` : `8,130,867`	0.000	1.000	0.000
rs17645023 lBF = `-0.0505989` Chr`17` : `64,917,033`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs1046896 lBF = `-0.091256` Chr`17` : `80,685,533`	0.000	1.000	0.000
rs2017854 lBF = `-0.103445` Chr`17` : `65,488,021`	0.000	1.000	0.000
rs4789378 lBF = `-0.110129` Chr`17` : `74,930,366`	0.000	1.000	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.000	1.000	0.000
rs67050149 lBF = `6.33733` Chr`17` : `79,557,043`	0.000	1.000	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.000	1.000	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	1.000	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.000	1.000	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	1.000	0.000
rs3760318 lBF = `0.910229` Chr`17` : `29,247,715`	0.000	1.000	0.000
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.000	1.000	0.000
rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	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`)