TreeWAS – [K13] Other diseases of lip and oral mucosa

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
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.854	0.146	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.745	0.255	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.711	0.289	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.699	0.301	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.676	0.324	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.650	0.350	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.640	0.360	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.586	0.414	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.566	0.434	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.562	0.438	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.537	0.463	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.528	0.472	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.525	0.475	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.520	0.480	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.491	0.509	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.484	0.516	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.444	0.556	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.433	0.566	0.001
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.431	0.569	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.423	0.577	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.419	0.581	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.407	0.593	0.000
rs76561599 lBF = `5.44755` Chr`19` : `18,749,085`	0.384	0.616	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.366	0.634	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.361	0.639	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.349	0.651	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.346	0.654	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.331	0.669	0.001
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.321	0.678	0.001
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.319	0.681	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.319	0.681	0.001
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.316	0.683	0.001
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.314	0.686	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.305	0.695	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.291	0.708	0.001
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.289	0.711	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.278	0.722	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.271	0.729	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.266	0.734	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.243	0.757	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.238	0.762	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.206	0.794	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.205	0.795	0.000
rs150268548 lBF = `12.0978` Chr`19` : `19,494,483`	0.199	0.801	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.199	0.801	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.196	0.804	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.184	0.815	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.160	0.838	0.002
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.161	0.838	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.156	0.844	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.147	0.853	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.141	0.859	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.140	0.860	0.000
rs8108707 lBF = `6.62886` Chr`19` : `11,474,335`	0.134	0.866	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.109	0.891	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.107	0.893	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.106	0.894	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.097	0.903	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.096	0.903	0.000
rs7259871 lBF = `5.60801` Chr`19` : `46,390,280`	0.090	0.910	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.076	0.924	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.075	0.925	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.074	0.926	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.058	0.941	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.051	0.949	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.000	0.959	0.041
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.039	0.960	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.038	0.962	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.038	0.962	0.000
rs79546472 lBF = `0.0357043` Chr`19` : `56,173,377`	0.032	0.968	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.029	0.971	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.028	0.971	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.028	0.972	0.000
rs380743 lBF = `13.0683` Chr`19` : `49,241,014`	0.027	0.973	0.000
rs838133 lBF = `14.0415` Chr`19` : `49,259,529`	0.000	0.974	0.026
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.024	0.976	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.023	0.977	0.000
rs13343954 lBF = `1.72027` Chr`19` : `33,527,888`	0.023	0.977	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.020	0.980	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.020	0.980	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.018	0.982	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.017	0.983	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.016	0.984	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.015	0.985	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.015	0.985	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.015	0.985	0.000
rs12019136 lBF = `1.10679` Chr`19` : `5,835,677`	0.014	0.986	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.014	0.986	0.000
rs3760775 lBF = `-0.0110255` Chr`19` : `5,841,356`	0.014	0.986	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.013	0.987	0.000
rs3760982 lBF = `0.0244749` Chr`19` : `44,286,513`	0.000	0.988	0.012
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.011	0.989	0.000
rs838147 lBF = `14.7603` Chr`19` : `49,246,866`	0.000	0.989	0.011
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.011	0.989	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.011	0.989	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.010	0.990	0.000
rs8111071 lBF = `3.8254` Chr`19` : `46,307,406`	0.010	0.990	0.000
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.010	0.990	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.010	0.990	0.000
rs632111 lBF = `20.7605` Chr`19` : `49,208,978`	0.009	0.991	0.000
rs16979306 lBF = `0.0734202` Chr`19` : `13,802,760`	0.009	0.991	0.000
rs838145 lBF = `18.4833` Chr`19` : `49,248,730`	0.000	0.991	0.009
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.009	0.991	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.008	0.992	0.000
rs7258177 lBF = `0.0641128` Chr`19` : `13,803,170`	0.007	0.993	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.007	0.993	0.000
rs601338 lBF = `26.5485` Chr`19` : `49,206,674`	0.000	0.994	0.006
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.006	0.994	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.006	0.994	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.005	0.995	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.005	0.995	0.000
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.005	0.995	0.000
rs35106244 lBF = `16.1424` Chr`19` : `49,203,829`	0.005	0.995	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.005	0.995	0.000
rs3745367 lBF = `-0.104677` Chr`19` : `7,734,511`	0.000	0.995	0.005
rs2059876 lBF = `-0.0616188` Chr`19` : `34,130,336`	0.005	0.995	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.005	0.995	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.004	0.996	0.001
rs516246 lBF = `24.8269` Chr`19` : `49,206,172`	0.000	0.996	0.004
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.004	0.996	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.004	0.996	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.004	0.996	0.000
rs602662 lBF = `19.1059` Chr`19` : `49,206,985`	0.000	0.997	0.003
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.003	0.997	0.000
rs492602 lBF = `25.3097` Chr`19` : `49,206,417`	0.000	0.997	0.003
rs681343 lBF = `25.6845` Chr`19` : `49,206,462`	0.000	0.997	0.003
rs503279 lBF = `19.8281` Chr`19` : `49,209,010`	0.000	0.997	0.003
rs7254215 lBF = `-0.0485001` Chr`19` : `14,713,493`	0.003	0.997	0.000
rs504963 lBF = `19.4` Chr`19` : `49,208,865`	0.000	0.997	0.003
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.003	0.997	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.003	0.997	0.000
rs676388 lBF = `19.9316` Chr`19` : `49,211,969`	0.000	0.997	0.003
rs77866734 lBF = `0.0462773` Chr`19` : `1,637,052`	0.002	0.998	0.000
rs2287922 lBF = `21.7099` Chr`19` : `49,232,226`	0.000	0.998	0.002
rs281379 lBF = `19.5324` Chr`19` : `49,214,274`	0.000	0.998	0.002
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.002	0.998	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.002	0.998	0.000
rs759819 lBF = `-0.0534983` Chr`19` : `54,815,577`	0.000	0.998	0.002
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.002	0.998	0.000
rs2965260 lBF = `-0.0627948` Chr`19` : `53,780,026`	0.002	0.998	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.002	0.998	0.000
rs485186 lBF = `18.7474` Chr`19` : `49,207,206`	0.000	0.998	0.002
rs7254892 lBF = `30.0759` Chr`19` : `45,389,596`	0.002	0.998	0.000
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.998	0.000
rs2287921 lBF = `22.4626` Chr`19` : `49,228,272`	0.000	0.999	0.001
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.001	0.999	0.000
rs281380 lBF = `1.855` Chr`19` : `49,214,470`	0.000	0.999	0.001
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.001	0.999	0.000
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.001	0.999	0.000
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs2301659 lBF = `0.0306604` Chr`19` : `19,035,354`	0.000	0.999	0.001
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs12721054 lBF = `0.00020901` Chr`19` : `45,422,587`	0.001	0.999	0.000
rs151060619 lBF = `0.00020631` Chr`19` : `47,213,311`	0.001	0.999	0.000
rs1047781 lBF = `0.00008525` Chr`19` : `49,206,631`	0.001	0.999	0.000
rs73039434 lBF = `2.24288` Chr`19` : `33,524,919`	0.000	0.999	0.001
rs138814219 lBF = `0.00009949` Chr`19` : `47,196,646`	0.001	0.999	0.000
rs114855972 lBF = `0.00009949` Chr`19` : `47,194,886`	0.001	0.999	0.000
rs139399000 lBF = `0.00009949` Chr`19` : `47,204,441`	0.001	0.999	0.000
rs147565295 lBF = `0.00009949` Chr`19` : `47,195,255`	0.001	0.999	0.000
rs75185364 lBF = `0.00009949` Chr`19` : `47,192,941`	0.001	0.999	0.000
rs115824942 lBF = `0.00008384` Chr`19` : `47,208,382`	0.001	0.999	0.000
rs1434579 lBF = `-0.0763562` Chr`19` : `44,932,972`	0.001	0.999	0.000
rs147615524 lBF = `0` Chr`19` : `1,205,889`	0.001	0.999	0.001
rs117403524 lBF = `0` Chr`19` : `20,635,291`	0.001	0.999	0.001
rs142080098 lBF = `0` Chr`19` : `7,796,550`	0.001	0.999	0.001
rs142119409 lBF = `0` Chr`19` : `16,116,431`	0.001	0.999	0.001
rs184381023 lBF = `0` Chr`19` : `41,947,225`	0.001	0.999	0.001
rs10408126 lBF = `0` Chr`19` : `13,245,968`	0.001	0.999	0.001
rs189265675 lBF = `0` Chr`19` : `5,907,423`	0.001	0.999	0.001
rs76617915 lBF = `0` Chr`19` : `41,538,078`	0.001	0.999	0.001
rs144556038 lBF = `0` Chr`19` : `53,085,847`	0.001	0.999	0.001
rs58632700 lBF = `0` Chr`19` : `58,992,001`	0.001	0.999	0.001
rs111563375 lBF = `0` Chr`19` : `5,908,762`	0.001	0.999	0.001
rs2075710 lBF = `6.70349` Chr`19` : `1,106,845`	0.000	0.999	0.001
rs17249141 lBF = `-0.00002178` Chr`19` : `11,200,008`	0.001	0.999	0.000
rs10415749 lBF = `-0.00000079` Chr`19` : `11,652,720`	0.001	0.999	0.000
rs3745618 lBF = `-0.00006132` Chr`19` : `47,575,716`	0.000	0.999	0.000
rs147893869 lBF = `0.019787` Chr`19` : `41,321,074`	0.000	0.999	0.001
rs117851058 lBF = `0.0211329` Chr`19` : `41,309,590`	0.000	0.999	0.001
rs2262909 lBF = `-0.110434` Chr`19` : `22,135,270`	0.000	0.999	0.001
rs140878064 lBF = `0.0241025` Chr`19` : `41,321,954`	0.000	0.999	0.001
rs117391664 lBF = `0.0240452` Chr`19` : `41,309,150`	0.000	0.999	0.001
rs117821847 lBF = `0.0239638` Chr`19` : `41,310,888`	0.000	0.999	0.001
rs144553930 lBF = `0.0238036` Chr`19` : `41,313,261`	0.000	0.999	0.001
rs149812270 lBF = `0.0236401` Chr`19` : `41,315,326`	0.000	0.999	0.001
rs4803370 lBF = `0.0241074` Chr`19` : `41,317,934`	0.000	0.999	0.001
rs117139969 lBF = `0.02267` Chr`19` : `41,311,922`	0.000	0.999	0.001
rs11666377 lBF = `0.0168611` Chr`19` : `17,118,433`	0.000	0.999	0.001
rs3810265 lBF = `-0.0001881` Chr`19` : `50,223,266`	0.000	0.999	0.000
rs11559024 lBF = `0.0102457` Chr`19` : `45,821,183`	0.000	0.999	0.001
rs2288884 lBF = `0.098259` Chr`19` : `52,532,271`	0.001	0.999	0.000
rs7248888 lBF = `-0.0234267` Chr`19` : `46,974,003`	0.000	0.999	0.001
rs113690530 lBF = `0.00761288` Chr`19` : `33,087,867`	0.001	0.999	0.000
rs973009 lBF = `-0.0464056` Chr`19` : `39,174,332`	0.000	0.999	0.001
rs185308415 lBF = `0.00037617` Chr`19` : `41,317,179`	0.001	0.999	0.000
rs3764650 lBF = `0.0623183` Chr`19` : `1,046,520`	0.000	0.999	0.001
rs3786749 lBF = `0.12917` Chr`19` : `49,095,278`	0.000	0.999	0.001
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rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.000	1.000	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.000	1.000	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.000	1.000	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.000	1.000	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.000	1.000	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.000	1.000	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.000	1.000	0.000
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.000	1.000	0.000
rs3810291 lBF = `1.3375` Chr`19` : `47,569,003`	0.000	1.000	0.000
rs3865444 lBF = `0.590737` Chr`19` : `51,727,962`	0.000	1.000	0.000
rs1671152 lBF = `0.496658` Chr`19` : `55,526,345`	0.000	1.000	0.000
rs17724992 lBF = `0.290288` Chr`19` : `18,454,825`	0.000	1.000	0.000
rs17695224 lBF = `0.258766` Chr`19` : `52,324,216`	0.000	1.000	0.000
rs3745516 lBF = `0.185966` Chr`19` : `50,926,742`	0.000	1.000	0.000
rs17771967 lBF = `0.180669` Chr`19` : `55,380,214`	0.000	1.000	0.000
rs17657696 lBF = `0.16971` Chr`19` : `44,906,023`	0.000	1.000	0.000
rs425283 lBF = `0.169582` Chr`19` : `55,171,748`	0.000	1.000	0.000
rs17513613 lBF = `0.107031` Chr`19` : `30,286,822`	0.000	1.000	0.000
rs3733829 lBF = `0.0670203` Chr`19` : `41,310,571`	0.000	1.000	0.000
rs11880706 lBF = `0.0617685` Chr`19` : `6,080,482`	0.000	1.000	0.000
rs4141232 lBF = `0.0528967` Chr`19` : `29,035,556`	0.000	1.000	0.000
rs35755165 lBF = `0.0494139` Chr`19` : `41,345,989`	0.000	1.000	0.000
rs111730030 lBF = `0.039148` Chr`19` : `13,268,826`	0.000	1.000	0.000
rs11668609 lBF = `0.00990234` Chr`19` : `24,355,493`	0.000	1.000	0.000
rs11671010 lBF = `-0.0129902` Chr`19` : `35,559,474`	0.000	1.000	0.000
rs3760776 lBF = `-0.0155715` Chr`19` : `5,839,746`	0.000	1.000	0.000
rs4804155 lBF = `-0.0216183` Chr`19` : `11,334,295`	0.000	1.000	0.000
rs740406 lBF = `-0.0227422` Chr`19` : `2,232,221`	0.000	1.000	0.000
rs2014572 lBF = `-0.0262769` Chr`19` : `57,760,018`	0.000	1.000	0.000
rs12984174 lBF = `-0.0292608` Chr`19` : `18,132,540`	0.000	1.000	0.000
rs4802666 lBF = `-0.0302537` Chr`19` : `50,721,074`	0.000	1.000	0.000
rs2017387 lBF = `-0.0361363` Chr`19` : `50,568,573`	0.000	1.000	0.000
rs80285556 lBF = `-0.0376127` Chr`19` : `50,540,170`	0.000	1.000	0.000
rs56052703 lBF = `-0.0402063` Chr`19` : `13,432,940`	0.000	1.000	0.000
rs12986207 lBF = `-0.049548` Chr`19` : `29,903,677`	0.000	1.000	0.000
rs7255126 lBF = `-0.0578649` Chr`19` : `56,551,608`	0.000	1.000	0.000
rs1551570 lBF = `-0.0615668` Chr`19` : `10,218,030`	0.000	1.000	0.000
rs8103033 lBF = `-0.0796591` Chr`19` : `40,170,053`	0.000	1.000	0.000
rs113029345 lBF = `-0.0875516` Chr`19` : `41,370,176`	0.000	1.000	0.000
rs1078373 lBF = `-0.0908628` Chr`19` : `31,801,130`	0.000	1.000	0.000
rs57837628 lBF = `-0.0909624` Chr`19` : `41,357,910`	0.000	1.000	0.000
rs12461383 lBF = `-0.0940209` Chr`19` : `41,370,338`	0.000	1.000	0.000
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.000	1.000	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.000	1.000	0.000
rs439401 lBF = `14.9023` Chr`19` : `45,414,451`	0.000	1.000	0.000
rs405509 lBF = `9.43097` Chr`19` : `45,408,836`	0.000	1.000	0.000
rs4804833 lBF = `8.86511` Chr`19` : `7,970,635`	0.000	1.000	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	1.000	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.000	1.000	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.000	1.000	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.000	1.000	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.000	1.000	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.000	1.000	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.000	1.000	0.000
rs10425559 lBF = `4.50852` Chr`19` : `4,837,487`	0.000	1.000	0.000
rs6510827 lBF = `2.40129` Chr`19` : `4,830,628`	0.000	1.000	0.000
rs8108269 lBF = `1.58458` Chr`19` : `46,158,513`	0.000	1.000	0.000
rs3786897 lBF = `1.54272` Chr`19` : `33,893,008`	0.000	1.000	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.000	1.000	0.000
rs2523178 lBF = `0.167297` Chr`19` : `2,275,079`	0.000	1.000	0.000
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	1.000	0.000
rs4808075 lBF = `0.0832062` Chr`19` : `17,390,291`	0.000	1.000	0.000
rs1701930 lBF = `0.0818071` Chr`19` : `51,419,546`	0.000	1.000	0.000
rs4806073 lBF = `0.0778706` Chr`19` : `35,555,190`	0.000	1.000	0.000
rs8105265 lBF = `0.0722344` Chr`19` : `2,920,705`	0.000	1.000	0.000
rs1688043 lBF = `0.0619284` Chr`19` : `35,553,341`	0.000	1.000	0.000
rs16964543 lBF = `0.0583383` Chr`19` : `31,185,210`	0.000	1.000	0.000
rs4804146 lBF = `0.0568319` Chr`19` : `11,256,176`	0.000	1.000	0.000
rs4528684 lBF = `0.0522251` Chr`19` : `14,351,574`	0.000	1.000	0.000
rs7255045 lBF = `0.0363917` Chr`19` : `12,932,269`	0.000	1.000	0.000
rs836901 lBF = `0.0356105` Chr`19` : `20,302,394`	0.000	1.000	0.000
rs10425465 lBF = `0.0343679` Chr`19` : `33,897,934`	0.000	1.000	0.000
rs2545770 lBF = `0.0318178` Chr`19` : `41,324,180`	0.000	1.000	0.000
rs2434422 lBF = `0.0195573` Chr`19` : `52,787,471`	0.000	1.000	0.000
rs45495792 lBF = `0.0100733` Chr`19` : `13,062,427`	0.000	1.000	0.000
rs889122 lBF = `-0.00912507` Chr`19` : `9,995,867`	0.000	1.000	0.000
rs12104221 lBF = `-0.0132858` Chr`19` : `3,797,100`	0.000	1.000	0.000
rs11878604 lBF = `-0.0230731` Chr`19` : `41,333,284`	0.000	1.000	0.000
rs263063 lBF = `-0.0338228` Chr`19` : `5,022,604`	0.000	1.000	0.000
rs3892630 lBF = `-0.0340664` Chr`19` : `33,181,484`	0.000	1.000	0.000
rs7247903 lBF = `-0.036218` Chr`19` : `41,372,475`	0.000	1.000	0.000
rs11666341 lBF = `-0.038444` Chr`19` : `52,601,399`	0.000	1.000	0.000
rs3764563 lBF = `-0.04154` Chr`19` : `15,724,203`	0.000	1.000	0.000
rs11085824 lBF = `-0.0467481` Chr`19` : `13,001,547`	0.000	1.000	0.000
rs4081724 lBF = `-0.0510164` Chr`19` : `33,824,946`	0.000	1.000	0.000
rs10414410 lBF = `-0.0561404` Chr`19` : `30,086,007`	0.000	1.000	0.000
rs11673509 lBF = `-0.0641991` Chr`19` : `5,080,647`	0.000	1.000	0.000
rs892055 lBF = `-0.0705862` Chr`19` : `38,912,764`	0.000	1.000	0.000
rs3181842 lBF = `-0.0779173` Chr`19` : `41,523,016`	0.000	1.000	0.000
rs2279008 lBF = `-0.0806357` Chr`19` : `17,283,303`	0.000	1.000	0.000
rs7507400 lBF = `-0.0855476` Chr`19` : `41,330,179`	0.000	1.000	0.000
rs314669 lBF = `-0.0872059` Chr`19` : `47,168,129`	0.000	1.000	0.000
rs2546057 lBF = `-0.0933029` Chr`19` : `34,320,854`	0.000	1.000	0.000
rs3875149 lBF = `-0.0933862` Chr`19` : `41,359,996`	0.000	1.000	0.000
rs2100944 lBF = `-0.101007` Chr`19` : `8,281,635`	0.000	1.000	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.000	1.000	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.000	1.000	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.000	1.000	0.000
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	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 X0046

log Bayes Factor = 387.972

contains 16 variants

0.9994

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9931

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9850

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9825

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9631

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9541

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9368

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9328

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9195

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8701

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8676

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8161

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8028

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7978

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7909

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7821

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7805

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7799

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7468

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7403

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7290

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7220

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7098

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6972

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6854

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6695

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6667

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6554

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6500

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6470

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6244

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6240

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6192

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6180

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6056

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6023

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6020

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5717

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5692

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5656

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5559

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5547

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5344

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5214

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5189

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5174

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5119

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5030

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4968

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4943

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4939

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4907

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4905

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4874

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4768

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4670

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4531

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4519

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4468

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4379

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4269

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4268

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4204

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4131

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4109

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4107

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4041

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3904

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3858

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3778

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3753

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3744

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3682

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3655

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3537

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3528

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3360

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3266

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3256

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3187

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3161

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3159

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3138

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3117

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3058

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3034

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2960

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2925

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2842

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2834

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2723

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2717

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2695

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2695

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2686

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2682

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2677

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2658

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2651

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2612

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2584

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2554

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2530

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2494

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2489

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2465

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2432

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2413

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2389

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2359

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2338

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2274

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2266

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2240

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2223

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2189

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2136

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2133

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2059

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2023

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2017

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2006

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2004

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1971

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1969

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1886

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1777

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1762

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1755

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1746

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1739

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1730

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1722

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1530

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1266

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1008

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0775

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0760

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0731

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0630

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0568

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0511

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0509

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	K13.0 Diseases of lips K13.1 Cheek and lip biting K13.3 Hairy leukoplakia K13.4 Granuloma and granuloma-like lesions of oral mucosa K13.5 Oral submucous fibrosis K13.6 Irritative hyperplasia of oral mucosa K13.7 Other and unspecified lesions of oral mucosa K13.2 Leukoplakia and other disturbances of oral epithelium, including tongue

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`)