TreeWAS – [K07.6] Temporomandibular joint disorders

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
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.657	0.343	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.562	0.437	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.553	0.447	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.515	0.485	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.506	0.494	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.505	0.495	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.498	0.502	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.489	0.511	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.488	0.511	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.484	0.516	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.475	0.524	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.468	0.532	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.464	0.536	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.455	0.545	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.452	0.547	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.436	0.564	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.413	0.587	0.000
rs76561599 lBF = `5.44755` Chr`19` : `18,749,085`	0.389	0.611	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.387	0.613	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.386	0.614	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.373	0.626	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.370	0.630	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.361	0.639	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.351	0.649	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.339	0.660	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.300	0.700	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.288	0.712	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.284	0.715	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.282	0.718	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.282	0.718	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.276	0.724	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.267	0.733	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.256	0.744	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.253	0.747	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.250	0.749	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.250	0.750	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.234	0.766	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.209	0.791	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.207	0.793	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.206	0.794	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.203	0.797	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.180	0.820	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.173	0.826	0.001
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.170	0.830	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.156	0.843	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.156	0.844	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.155	0.845	0.000
rs150268548 lBF = `12.0978` Chr`19` : `19,494,483`	0.133	0.867	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.125	0.875	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.122	0.877	0.000
rs7259871 lBF = `5.60801` Chr`19` : `46,390,280`	0.118	0.882	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.110	0.890	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.107	0.893	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.103	0.897	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.098	0.902	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.094	0.906	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.089	0.910	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.088	0.912	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.087	0.912	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.086	0.914	0.000
rs8108707 lBF = `6.62886` Chr`19` : `11,474,335`	0.057	0.942	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.057	0.943	0.000
rs838133 lBF = `14.0415` Chr`19` : `49,259,529`	0.000	0.943	0.057
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.054	0.945	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.040	0.960	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.037	0.963	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.035	0.964	0.000
rs380743 lBF = `13.0683` Chr`19` : `49,241,014`	0.034	0.966	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.034	0.966	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.032	0.968	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.030	0.970	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.029	0.970	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.000	0.972	0.028
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.027	0.973	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.024	0.975	0.000
rs79546472 lBF = `0.0357043` Chr`19` : `56,173,377`	0.020	0.980	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.019	0.981	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.019	0.981	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.017	0.983	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.017	0.983	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.017	0.983	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.017	0.983	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.016	0.984	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.015	0.984	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.015	0.984	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.015	0.985	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.014	0.986	0.000
rs13343954 lBF = `1.72027` Chr`19` : `33,527,888`	0.013	0.986	0.001
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.013	0.987	0.000
rs35106244 lBF = `16.1424` Chr`19` : `49,203,829`	0.012	0.988	0.000
rs632111 lBF = `20.7605` Chr`19` : `49,208,978`	0.012	0.988	0.000
rs838147 lBF = `14.7603` Chr`19` : `49,246,866`	0.000	0.989	0.011
rs688187 lBF = `0.187022` Chr`19` : `39,732,752`	0.000	0.989	0.011
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.010	0.990	0.000
rs838145 lBF = `18.4833` Chr`19` : `49,248,730`	0.000	0.990	0.010
rs12019136 lBF = `1.10679` Chr`19` : `5,835,677`	0.010	0.990	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.009	0.990	0.000
rs8111071 lBF = `3.8254` Chr`19` : `46,307,406`	0.009	0.991	0.000
rs450937 lBF = `-0.0496953` Chr`19` : `54,781,541`	0.008	0.992	0.000
rs12979860 lBF = `0.426585` Chr`19` : `39,738,787`	0.000	0.992	0.008
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.008	0.992	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.007	0.992	0.000
rs601338 lBF = `26.5485` Chr`19` : `49,206,674`	0.000	0.993	0.007
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.007	0.993	0.000
rs3760775 lBF = `-0.0110255` Chr`19` : `5,841,356`	0.007	0.993	0.000
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.007	0.993	0.000
rs451000 lBF = `-0.0571852` Chr`19` : `54,781,554`	0.007	0.993	0.000
rs400942 lBF = `-0.0523745` Chr`19` : `54,781,557`	0.007	0.993	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.007	0.993	0.000
rs676388 lBF = `19.9316` Chr`19` : `49,211,969`	0.000	0.993	0.007
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.006	0.994	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.006	0.994	0.000
rs7255436 lBF = `-0.00789168` Chr`19` : `8,433,196`	0.000	0.994	0.006
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.005	0.995	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.005	0.995	0.000
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.005	0.995	0.000
rs281380 lBF = `1.855` Chr`19` : `49,214,470`	0.000	0.995	0.005
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.005	0.995	0.000
rs7250872 lBF = `-0.0733468` Chr`19` : `1,811,603`	0.005	0.995	0.000
rs281379 lBF = `19.5324` Chr`19` : `49,214,274`	0.000	0.996	0.004
rs2301659 lBF = `0.0306604` Chr`19` : `19,035,354`	0.000	0.996	0.004
rs12980275 lBF = `0.169983` Chr`19` : `39,731,783`	0.000	0.996	0.004
rs2287922 lBF = `21.7099` Chr`19` : `49,232,226`	0.000	0.996	0.004
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.003	0.996	0.000
rs516246 lBF = `24.8269` Chr`19` : `49,206,172`	0.000	0.996	0.003
rs602662 lBF = `19.1059` Chr`19` : `49,206,985`	0.000	0.997	0.003
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.003	0.997	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.003	0.997	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.003	0.997	0.000
rs12460584 lBF = `-0.0326852` Chr`19` : `51,186,081`	0.003	0.997	0.000
rs8099996 lBF = `6.08546` Chr`19` : `11,174,625`	0.003	0.997	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.003	0.997	0.000
rs1122608 lBF = `10.0379` Chr`19` : `11,163,601`	0.003	0.997	0.000
rs10425465 lBF = `0.0343679` Chr`19` : `33,897,934`	0.000	0.997	0.003
rs681343 lBF = `25.6845` Chr`19` : `49,206,462`	0.000	0.997	0.003
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.003	0.997	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.003	0.997	0.000
rs2287921 lBF = `22.4626` Chr`19` : `49,228,272`	0.000	0.997	0.003
rs12972990 lBF = `-0.0273081` Chr`19` : `10,406,431`	0.003	0.997	0.000
rs12052058 lBF = `10.6082` Chr`19` : `11,159,525`	0.003	0.997	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.003	0.997	0.000
rs503279 lBF = `19.8281` Chr`19` : `49,209,010`	0.000	0.997	0.003
rs504963 lBF = `19.4` Chr`19` : `49,208,865`	0.000	0.997	0.003
rs6511721 lBF = `11.4118` Chr`19` : `11,206,575`	0.000	0.997	0.003
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.002	0.998	0.000
rs492602 lBF = `25.3097` Chr`19` : `49,206,417`	0.000	0.998	0.002
rs3093030 lBF = `-0.0234245` Chr`19` : `10,397,403`	0.002	0.998	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.002	0.998	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.002	0.998	0.000
rs485186 lBF = `18.7474` Chr`19` : `49,207,206`	0.000	0.998	0.002
rs77866734 lBF = `0.0462773` Chr`19` : `1,637,052`	0.002	0.998	0.000
rs443874 lBF = `0.0159284` Chr`19` : `54,779,389`	0.002	0.998	0.000
rs17692896 lBF = `0.00749583` Chr`19` : `33,089,431`	0.002	0.998	0.000
rs5498 lBF = `-0.00771433` Chr`19` : `10,395,683`	0.002	0.998	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.002	0.998	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.002	0.998	0.000
rs349045 lBF = `0.0415396` Chr`19` : `44,299,892`	0.000	0.998	0.002
rs10414410 lBF = `-0.0561404` Chr`19` : `30,086,007`	0.002	0.998	0.000
rs2288884 lBF = `0.098259` Chr`19` : `52,532,271`	0.002	0.998	0.000
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.998	0.000
rs2233152 lBF = `-0.0399253` Chr`19` : `41,281,016`	0.000	0.998	0.002
rs2191566 lBF = `-0.0610774` Chr`19` : `44,511,389`	0.002	0.998	0.000
rs12978748 lBF = `5.98606` Chr`19` : `52,296,815`	0.001	0.999	0.000
rs4807927 lBF = `0.108342` Chr`19` : `1,423,199`	0.001	0.999	0.000
rs2738446 lBF = `9.38276` Chr`19` : `11,227,326`	0.000	0.999	0.001
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.001	0.999	0.001
rs3815700 lBF = `-0.0233894` Chr`19` : `33,093,252`	0.001	0.999	0.000
rs3826656 lBF = `-0.0688108` Chr`19` : `51,726,613`	0.000	0.999	0.001
rs62131887 lBF = `2.68819` Chr`19` : `10,587,596`	0.001	0.999	0.000
rs8101881 lBF = `-0.08863` Chr`19` : `33,364,628`	0.001	0.999	0.000
rs10411210 lBF = `1.24033` Chr`19` : `33,532,300`	0.000	0.999	0.001
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs7254892 lBF = `30.0759` Chr`19` : `45,389,596`	0.001	0.999	0.000
rs72480748 lBF = `0.426605` Chr`19` : `41,414,481`	0.001	0.999	0.000
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs2965260 lBF = `-0.0627948` Chr`19` : `53,780,026`	0.000	0.999	0.001
rs10425935 lBF = `-0.076983` Chr`19` : `29,908,107`	0.001	0.999	0.000
rs12460876 lBF = `-0.0959623` Chr`19` : `33,356,891`	0.000	0.999	0.001
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs10419226 lBF = `3.20466` Chr`19` : `18,803,172`	0.000	0.999	0.001
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
rs2059876 lBF = `-0.0616188` Chr`19` : `34,130,336`	0.000	0.999	0.001
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.001	0.999	0.000
rs263063 lBF = `-0.0338228` Chr`19` : `5,022,604`	0.001	0.999	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.000	0.999	0.001
rs879564 lBF = `-0.0941102` Chr`19` : `4,768,917`	0.000	0.999	0.001
rs296390 lBF = `16.7741` Chr`19` : `48,368,777`	0.001	0.999	0.000
rs45446093 lBF = `6.24022` Chr`19` : `54,756,155`	0.000	0.999	0.001
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
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.000	0.999	0.001
rs117851058 lBF = `0.0211329` Chr`19` : `41,309,590`	0.001	0.999	0.000
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
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rs3181842 lBF = `-0.0779173` Chr`19` : `41,523,016`	0.000	1.000	0.000
rs7248363 lBF = `-0.0830945` Chr`19` : `18,467,886`	0.000	1.000	0.000
rs167479 lBF = `18.201` Chr`19` : `11,526,765`	0.000	1.000	0.000
rs34328549 lBF = `11.7329` Chr`19` : `7,253,184`	0.000	1.000	0.000
rs67731056 lBF = `8.73421` Chr`19` : `7,264,549`	0.000	1.000	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.000	1.000	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.000	1.000	0.000
rs7245708 lBF = `0.373925` Chr`19` : `46,195,756`	0.000	1.000	0.000
rs8101143 lBF = `0.250278` Chr`19` : `21,956,136`	0.000	1.000	0.000
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	1.000	0.000
rs16979306 lBF = `0.0734202` Chr`19` : `13,802,760`	0.000	1.000	0.000
rs3764650 lBF = `0.0623183` Chr`19` : `1,046,520`	0.000	1.000	0.000
rs7253363 lBF = `-0.00743829` Chr`19` : `11,682,495`	0.000	1.000	0.000
rs103294 lBF = `-0.00760096` Chr`19` : `54,797,848`	0.000	1.000	0.000
rs1654584 lBF = `-0.0255223` Chr`19` : `3,970,683`	0.000	1.000	0.000
rs4805272 lBF = `-0.0359144` Chr`19` : `29,319,706`	0.000	1.000	0.000
rs12973620 lBF = `-0.051927` Chr`19` : `58,249,643`	0.000	1.000	0.000
rs10414149 lBF = `-0.0903832` Chr`19` : `52,127,744`	0.000	1.000	0.000
rs2228671 lBF = `38.6156` Chr`19` : `11,210,912`	0.000	1.000	0.000
rs73015720 lBF = `8.3101` Chr`19` : `17,860,775`	0.000	1.000	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.000	1.000	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.000	1.000	0.000
rs2241718 lBF = `5.00712` Chr`19` : `41,829,606`	0.000	1.000	0.000
rs12720356 lBF = `1.81492` Chr`19` : `10,469,975`	0.000	1.000	0.000
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.000	1.000	0.000
rs4808260 lBF = `0.0927022` Chr`19` : `20,846,271`	0.000	1.000	0.000
rs2545770 lBF = `0.0318178` Chr`19` : `41,324,180`	0.000	1.000	0.000
rs117492019 lBF = `0.0160085` Chr`19` : `58,681,861`	0.000	1.000	0.000
rs16968074 lBF = `0.00313671` Chr`19` : `33,884,341`	0.000	1.000	0.000
rs8100480 lBF = `0.00273395` Chr`19` : `19,299,079`	0.000	1.000	0.000
rs12462428 lBF = `-0.0332477` Chr`19` : `16,694,610`	0.000	1.000	0.000
rs17638629 lBF = `-0.0434049` Chr`19` : `12,225,372`	0.000	1.000	0.000
rs2061333 lBF = `-0.0464539` Chr`19` : `44,614,208`	0.000	1.000	0.000
rs299175 lBF = `-0.0556343` Chr`19` : `56,313,528`	0.000	1.000	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.000	1.000	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.000	1.000	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.000	1.000	0.000
rs3810291 lBF = `1.3375` Chr`19` : `47,569,003`	0.000	1.000	0.000
rs17694108 lBF = `1.03939` Chr`19` : `33,731,551`	0.000	1.000	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.000	1.000	0.000
rs9304742 lBF = `0.387686` Chr`19` : `53,451,291`	0.000	1.000	0.000
rs17657696 lBF = `0.16971` Chr`19` : `44,906,023`	0.000	1.000	0.000
rs4926244 lBF = `0.0914543` Chr`19` : `13,374,913`	0.000	1.000	0.000
rs11671653 lBF = `0.0656012` Chr`19` : `10,838,486`	0.000	1.000	0.000
rs11880706 lBF = `0.0617685` Chr`19` : `6,080,482`	0.000	1.000	0.000
rs111730030 lBF = `0.039148` Chr`19` : `13,268,826`	0.000	1.000	0.000
rs12327666 lBF = `0.0224187` Chr`19` : `14,139,921`	0.000	1.000	0.000
rs34705275 lBF = `0.0162844` Chr`19` : `43,933,725`	0.000	1.000	0.000
rs140520053 lBF = `-0.00095297` Chr`19` : `42,303,947`	0.000	1.000	0.000
rs8102683 lBF = `-0.0219706` Chr`19` : `41,363,765`	0.000	1.000	0.000
rs11878604 lBF = `-0.0230731` Chr`19` : `41,333,284`	0.000	1.000	0.000
rs2288912 lBF = `-0.0276798` Chr`19` : `45,449,199`	0.000	1.000	0.000
rs16975963 lBF = `-0.0407691` Chr`19` : `38,325,536`	0.000	1.000	0.000
rs2230245 lBF = `-0.0455294` Chr`19` : `50,909,765`	0.000	1.000	0.000
rs7260329 lBF = `-0.0683905` Chr`19` : `41,521,638`	0.000	1.000	0.000
rs17632542 lBF = `23.0514` Chr`19` : `51,361,757`	0.000	1.000	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.000	1.000	0.000
Affx-52359426 lBF = `5.92329` Chr`19` : `49,244,218`	0.000	1.000	0.000
rs12462111 lBF = `4.03411` Chr`19` : `49,171,306`	0.000	1.000	0.000
rs11671664 lBF = `3.73026` Chr`19` : `46,172,278`	0.000	1.000	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	1.000	0.000
rs7246967 lBF = `0.367199` Chr`19` : `23,056,346`	0.000	1.000	0.000
rs624899 lBF = `0.167753` Chr`19` : `11,612,498`	0.000	1.000	0.000
rs8100241 lBF = `0.0778512` Chr`19` : `17,392,894`	0.000	1.000	0.000
rs11574583 lBF = `0.0217623` Chr`19` : `55,178,778`	0.000	1.000	0.000
rs737337 lBF = `-0.0405924` Chr`19` : `11,347,493`	0.000	1.000	0.000
rs519113 lBF = `-0.0527793` Chr`19` : `45,376,284`	0.000	1.000	0.000
rs62113212 lBF = `22.7373` Chr`19` : `51,360,840`	0.000	1.000	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.000	1.000	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.000	1.000	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.000	1.000	0.000
rs266849 lBF = `2.0123` Chr`19` : `51,349,090`	0.000	1.000	0.000
rs10425738 lBF = `0.900321` Chr`19` : `41,417,727`	0.000	1.000	0.000
rs7339483 lBF = `0.468308` Chr`19` : `24,462,409`	0.000	1.000	0.000
rs2363956 lBF = `0.0988604` Chr`19` : `17,394,124`	0.000	1.000	0.000
rs55655041 lBF = `0.0723711` Chr`19` : `30,995,200`	0.000	1.000	0.000
rs2434422 lBF = `0.0195573` Chr`19` : `52,787,471`	0.000	1.000	0.000
rs67538026 lBF = `-0.0767615` Chr`19` : `1,031,438`	0.000	1.000	0.000
rs995834 lBF = `-0.0854908` Chr`19` : `28,866,596`	0.000	1.000	0.000
rs314669 lBF = `-0.0872059` Chr`19` : `47,168,129`	0.000	1.000	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	1.000	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.000	1.000	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.000	1.000	0.000
rs10408179 lBF = `5.46633` Chr`19` : `46,157,004`	0.000	1.000	0.000
rs13345456 lBF = `5.05336` Chr`19` : `41,806,918`	0.000	1.000	0.000
rs10425559 lBF = `4.50852` Chr`19` : `4,837,487`	0.000	1.000	0.000
rs8170 lBF = `0.54398` Chr`19` : `17,389,704`	0.000	1.000	0.000
rs4528684 lBF = `0.0522251` Chr`19` : `14,351,574`	0.000	1.000	0.000
rs3760776 lBF = `-0.0155715` Chr`19` : `5,839,746`	0.000	1.000	0.000
rs2279011 lBF = `-0.016248` Chr`19` : `41,269,288`	0.000	1.000	0.000
rs7254192 lBF = `-0.0227475` Chr`19` : `41,273,699`	0.000	1.000	0.000
rs8113142 lBF = `-0.0342136` Chr`19` : `29,012,921`	0.000	1.000	0.000
rs7247903 lBF = `-0.036218` Chr`19` : `41,372,475`	0.000	1.000	0.000
rs80285556 lBF = `-0.0376127` Chr`19` : `50,540,170`	0.000	1.000	0.000
rs11671104 lBF = `-0.0398445` Chr`19` : `22,794,686`	0.000	1.000	0.000
rs12986207 lBF = `-0.049548` Chr`19` : `29,903,677`	0.000	1.000	0.000
rs1077667 lBF = `-0.0556839` Chr`19` : `6,668,972`	0.000	1.000	0.000
rs788338 lBF = `-0.0996841` Chr`19` : `50,778,543`	0.000	1.000	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9964

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9746

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9723

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9619

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9491

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9423

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9351

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9314

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9139

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9106

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9023

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8848

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8842

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8811

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8767

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8735

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8667

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8602

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8481

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8269

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8263

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8255

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8237

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8125

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8101

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8022

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8005

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7988

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7973

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7919

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7852

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7847

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7810

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7704

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7662

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7641

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7577

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7391

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7385

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7354

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7294

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7193

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7169

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7166

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7106

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7096

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7022

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6979

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6875

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6867

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6826

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6822

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6539

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6499

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6498

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6385

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6363

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6359

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6350

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6343

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6330

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6309

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6308

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6277

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6229

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6175

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6076

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6063

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5962

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5805

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5762

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5661

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5608

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5587

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5430

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5428

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5384

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5377

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5351

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5297

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5223

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5166

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5146

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5101

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5050

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4878

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4851

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4842

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4484

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4354

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4345

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4193

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4170

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3848

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3827

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3733

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3634

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3579

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3482

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3379

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3325

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2881

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2827

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2778

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2709

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2396

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2301

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2238

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2156

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2150

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1932

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1931

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1874

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1824

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1729

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1675

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1627

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1587

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1553

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1400

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1398

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1303

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1301

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1189

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1001

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0991

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0810

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0761

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0761

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0758

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0750

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0690

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0626

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0520

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.

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`)