TreeWAS – [Z01.2] Dental examination

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
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.618	0.382	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.603	0.397	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.581	0.419	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.551	0.449	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.539	0.461	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.529	0.471	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.516	0.484	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.505	0.495	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.494	0.506	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.492	0.508	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.490	0.510	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.490	0.510	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.490	0.510	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.472	0.528	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.450	0.550	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.444	0.556	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.431	0.569	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.418	0.582	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.393	0.607	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.378	0.622	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.355	0.645	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.323	0.677	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.321	0.679	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.294	0.705	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.293	0.707	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.288	0.712	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.276	0.723	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.261	0.739	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.246	0.753	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.242	0.758	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.220	0.780	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.210	0.790	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.199	0.800	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.196	0.804	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.193	0.807	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.189	0.810	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.187	0.812	0.001
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.166	0.834	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.134	0.866	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.117	0.883	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.115	0.885	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.114	0.886	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.107	0.893	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.094	0.906	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.088	0.911	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.087	0.913	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.084	0.916	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.082	0.918	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.082	0.918	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.066	0.934	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.063	0.937	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.061	0.939	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.060	0.940	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.051	0.949	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.050	0.949	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.047	0.953	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.045	0.954	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.044	0.956	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.042	0.957	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.041	0.958	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.041	0.958	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.959	0.041
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.039	0.960	0.001
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.037	0.963	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.036	0.964	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.032	0.968	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.031	0.968	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.030	0.970	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.029	0.971	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.029	0.971	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.028	0.971	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.026	0.974	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.025	0.975	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.024	0.975	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.023	0.977	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.020	0.979	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.020	0.980	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.019	0.981	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.018	0.982	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.016	0.984	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.014	0.986	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.014	0.986	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.013	0.987	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.012	0.987	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.012	0.988	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.011	0.988	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.011	0.989	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.010	0.990	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.010	0.990	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.990	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.009	0.990	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.009	0.991	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.008	0.992	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.008	0.992	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.007	0.992	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.007	0.993	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.007	0.993	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.006	0.993	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.006	0.994	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.006	0.994	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.005	0.995	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.995	0.005
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.005	0.995	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.004	0.996	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.004	0.996	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.004	0.996	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.004	0.996	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.003	0.996	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	0.996	0.003
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.997	0.003
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.003	0.997	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.003	0.997	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.003	0.997	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.003	0.997	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.002	0.997	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.002	0.998	0.000
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.000	0.998	0.002
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.002	0.998	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.002	0.998	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.002	0.998	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.002	0.998	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.002	0.998	0.000
rs2005705 lBF = `18.9001` Chr`17` : `36,096,300`	0.000	0.998	0.002
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.002	0.998	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.002	0.998	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.002	0.998	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.002	0.998	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.001	0.998	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.001	0.998	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.001	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.001	0.999	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.999	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.001	0.999	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.001	0.999	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	0.999	0.001
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.001	0.999	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	0.999	0.001
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	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
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	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
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
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
rs1107748 lBF = `-0.0292036` Chr`17` : `41,773,814`	0.001	0.999	0.000
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.001	0.999	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.001	0.999	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.001	0.999	0.000
rs4430796 lBF = `25.1458` Chr`17` : `36,098,040`	0.001	0.999	0.000
rs4795067 lBF = `0.315804` Chr`17` : `26,106,675`	0.001	0.999	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	0.999	0.001
rs712039 lBF = `-0.0304748` Chr`17` : `35,850,553`	0.001	0.999	0.000
rs35219335 lBF = `-0.0135019` Chr`17` : `10,077,836`	0.001	0.999	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.000	0.999	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.001	0.999	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.000	0.999	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.000	0.999	0.000
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.001	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.001
rs2378870 lBF = `-0.0356024` Chr`17` : `59,638,623`	0.001	0.999	0.000
rs12449568 lBF = `-0.110223` Chr`17` : `54,430,155`	0.000	0.999	0.001
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.001	0.999	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.001	0.999	0.000
rs6503319 lBF = `-0.0705758` Chr`17` : `10,574,159`	0.000	0.999	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.001	0.999	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.001	0.999	0.000
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.000	0.999	0.001
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rs9299 lBF = `0.0624181` Chr`17` : `46,669,430`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	1.000	0.000
rs12185265 lBF = `0.0183091` Chr`17` : `35,274,282`	0.000	1.000	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	1.000	0.000
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.000	1.000	0.000
rs8074700 lBF = `-0.0327177` Chr`17` : `46,749,791`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs7213812 lBF = `-0.049552` Chr`17` : `31,448,649`	0.000	1.000	0.000
rs7225151 lBF = `-0.0513115` Chr`17` : `5,137,047`	0.000	1.000	0.000
rs216452 lBF = `-0.0523426` Chr`17` : `28,883,741`	0.000	1.000	0.000
rs4796217 lBF = `-0.0590889` Chr`17` : `34,819,191`	0.000	1.000	0.000
rs320637 lBF = `-0.0934327` Chr`17` : `31,665,328`	0.000	1.000	0.000
rs225212 lBF = `-0.0939959` Chr`17` : `30,896,455`	0.000	1.000	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.000	1.000	0.000
rs3744763 lBF = `8.02105` Chr`17` : `36,090,885`	0.000	1.000	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	1.000	0.000
rs9907309 lBF = `0.581202` Chr`17` : `14,938,944`	0.000	1.000	0.000
rs6504218 lBF = `0.518288` Chr`17` : `62,408,299`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	1.000	0.000
rs2240736 lBF = `0.147927` Chr`17` : `59,485,393`	0.000	1.000	0.000
rs8068318 lBF = `0.144792` Chr`17` : `59,483,766`	0.000	1.000	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	1.000	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	1.000	0.000
rs447921 lBF = `-0.0232117` Chr`17` : `74,414,559`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.000	1.000	0.000
rs820217 lBF = `-0.036926` Chr`17` : `73,688,294`	0.000	1.000	0.000
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	0.000	1.000	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	1.000	0.000
rs3027247 lBF = `-0.0497048` Chr`17` : `8,130,867`	0.000	1.000	0.000
rs820218 lBF = `-0.0511756` Chr`17` : `73,687,495`	0.000	1.000	0.000
rs1035050 lBF = `-0.0589331` Chr`17` : `47,564,012`	0.000	1.000	0.000
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs11079160 lBF = `-0.0751658` Chr`17` : `53,404,725`	0.000	1.000	0.000
rs12601358 lBF = `-0.0774552` Chr`17` : `11,094,177`	0.000	1.000	0.000
rs379123 lBF = `-0.116895` Chr`17` : `30,891,814`	0.000	1.000	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	1.000	0.000
rs216196 lBF = `8.07442` Chr`17` : `2,202,943`	0.000	1.000	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.000	1.000	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.000	1.000	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	1.000	0.000
rs3859192 lBF = `3.26845` Chr`17` : `38,128,648`	0.000	1.000	0.000
rs17610181 lBF = `2.0868` Chr`17` : `59,667,953`	0.000	1.000	0.000
rs916888 lBF = `2.00376` Chr`17` : `44,863,133`	0.000	1.000	0.000
rs11649743 lBF = `1.66786` Chr`17` : `36,074,979`	0.000	1.000	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	1.000	0.000
rs391300 lBF = `1.03278` Chr`17` : `2,216,258`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	1.000	0.000
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.000	1.000	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.000	1.000	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs623323 lBF = `-0.0439502` Chr`17` : `700,020`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	0.000
rs12449664 lBF = `-0.0585402` Chr`17` : `8,967,067`	0.000	1.000	0.000
rs12940030 lBF = `-0.0589294` Chr`17` : `14,561,016`	0.000	1.000	0.000
rs8067287 lBF = `-0.0678228` Chr`17` : `16,816,656`	0.000	1.000	0.000
rs817565 lBF = `-0.0720185` Chr`17` : `67,432,385`	0.000	1.000	0.000
rs7224000 lBF = `-0.0877636` Chr`17` : `65,410,934`	0.000	1.000	0.000
rs9900205 lBF = `-0.0886445` Chr`17` : `64,715,108`	0.000	1.000	0.000
rs7477 lBF = `-0.0892816` Chr`17` : `16,246,016`	0.000	1.000	0.000
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	0.000	1.000	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.000	1.000	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	1.000	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.000	1.000	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.000	1.000	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	1.000	0.000
rs7211029 lBF = `3.19542` Chr`17` : `77,141,308`	0.000	1.000	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.000	1.000	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.000	1.000	0.000
rs4523957 lBF = `1.52831` Chr`17` : `2,208,899`	0.000	1.000	0.000
rs3110496 lBF = `1.23808` Chr`17` : `27,917,771`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs9896052 lBF = `0.251979` Chr`17` : `73,418,862`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.000	1.000	0.000
rs7224488 lBF = `0.13188` Chr`17` : `54,868,625`	0.000	1.000	0.000
rs12602901 lBF = `0.123649` Chr`17` : `4,824,625`	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)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2161

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0911

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8574

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8399

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7675

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7168

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7166

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7164

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7161

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7160

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7151

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7148

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7142

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7139

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7138

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7129

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7126

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7121

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7115

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7114

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7095

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7073

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7052

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7034

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7023

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7014

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6964

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6950

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6943

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6926

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6904

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6893

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6876

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6869

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6857

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6699

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6654

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6645

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6606

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6538

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6527

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6483

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6476

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6460

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6458

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6452

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6451

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6444

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6416

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6410

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6364

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6307

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6302

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6297

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6277

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6230

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6077

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6036

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6016

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5979

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5941

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5908

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5782

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5537

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5526

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5485

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5460

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5440

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5349

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5341

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5265

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5082

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5033

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4940

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4809

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4773

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4721

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4369

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4325

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4322

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4186

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3964

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3838

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3805

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3800

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3775

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3546

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3544

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3478

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3352

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3048

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3045

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2988

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2833

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2685

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2586

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2562

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2551

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2508

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2485

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2435

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2426

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2241

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1803

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1770

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1741

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1590

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1569

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1502

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1501

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1469

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1409

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1382

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1182

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1178

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1131

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1079

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1018

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0786

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0740

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0634

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0623

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0591

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0510

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`)