TreeWAS – [K08.1] Loss of teeth due to accident, extraction or local periodontal disease

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
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.766	0.234	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.756	0.244	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.682	0.318	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.629	0.371	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.625	0.375	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.621	0.379	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.587	0.413	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.577	0.423	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.541	0.459	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.539	0.461	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.520	0.480	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.516	0.484	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.456	0.544	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.439	0.561	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.418	0.582	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.397	0.603	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.380	0.620	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.376	0.623	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.371	0.629	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.371	0.629	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.369	0.631	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.369	0.631	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.365	0.635	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.363	0.637	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.307	0.693	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.303	0.697	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.299	0.701	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.263	0.737	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.254	0.745	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.245	0.755	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.234	0.766	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.226	0.773	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.225	0.774	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.225	0.774	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.224	0.776	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.210	0.789	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.190	0.810	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.182	0.818	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.177	0.823	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.160	0.839	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.157	0.842	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.141	0.858	0.001
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.130	0.870	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.129	0.870	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.121	0.878	0.001
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.094	0.906	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.092	0.908	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.085	0.915	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.077	0.922	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.075	0.925	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.073	0.926	0.001
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.069	0.929	0.002
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.066	0.933	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.067	0.933	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.063	0.936	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.061	0.939	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.052	0.948	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.051	0.949	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.049	0.951	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.048	0.951	0.001
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.047	0.953	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.038	0.962	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.037	0.962	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.034	0.966	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.032	0.967	0.001
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.031	0.969	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.029	0.970	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.028	0.971	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.025	0.974	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.025	0.975	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.023	0.977	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.020	0.979	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.021	0.979	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.020	0.980	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.019	0.980	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.018	0.981	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.015	0.984	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.014	0.985	0.001
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.013	0.987	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.012	0.988	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.012	0.988	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.012	0.988	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.011	0.988	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.011	0.989	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.010	0.989	0.001
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.991	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.009	0.991	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.009	0.991	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.008	0.992	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.992	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.007	0.993	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.007	0.993	0.001
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.006	0.993	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.005	0.995	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.003	0.995	0.002
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.005	0.995	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.005	0.995	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.005	0.995	0.000
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.005	0.995	0.000
rs227731 lBF = `-0.0957209` Chr`17` : `54,773,238`	0.005	0.995	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.004	0.995	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.004	0.996	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.004	0.996	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.003	0.996	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.004	0.996	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.003	0.997	0.000
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.003	0.997	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.003	0.997	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.003	0.997	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.002	0.997	0.000
rs9913911 lBF = `7.26611` Chr`17` : `10,031,183`	0.003	0.997	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.002	0.997	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.003	0.997	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.002	0.997	0.001
rs1015657 lBF = `-0.0665226` Chr`17` : `68,878,487`	0.002	0.998	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.002	0.998	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.002	0.998	0.000
rs312691 lBF = `-0.00062114` Chr`17` : `68,326,338`	0.002	0.998	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.998	0.002
rs218676 lBF = `-0.0535661` Chr`17` : `6,607,018`	0.000	0.998	0.002
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.002	0.998	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.002	0.998	0.000
rs12051723 lBF = `0.048562` Chr`17` : `78,324,259`	0.000	0.998	0.002
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs959260 lBF = `-0.0625843` Chr`17` : `73,369,422`	0.002	0.998	0.000
rs7224000 lBF = `-0.0877636` Chr`17` : `65,410,934`	0.000	0.998	0.002
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.002	0.998	0.000
rs227726 lBF = `-0.0638644` Chr`17` : `54,777,585`	0.002	0.998	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.001	0.998	0.001
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.002	0.998	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.001	0.998	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.002	0.998	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.001	0.998	0.000
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	0.002	0.998	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.001	0.998	0.000
rs12150284 lBF = `7.56098` Chr`17` : `10,031,090`	0.002	0.998	0.000
rs9889296 lBF = `-0.0525696` Chr`17` : `32,570,547`	0.002	0.998	0.000
rs623011 lBF = `-0.0326514` Chr`17` : `68,259,446`	0.000	0.999	0.001
rs3091315 lBF = `-0.0705817` Chr`17` : `32,593,665`	0.001	0.999	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.001	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.001	0.999	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.001	0.999	0.000
rs7211079 lBF = `-0.0664865` Chr`17` : `78,107,537`	0.000	0.999	0.001
rs11656696 lBF = `5.98584` Chr`17` : `10,033,679`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	0.999	0.001
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.001	0.999	0.000
rs2190547 lBF = `-0.105046` Chr`17` : `68,929,435`	0.001	0.999	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.000	0.999	0.001
rs9914258 lBF = `5.38881` Chr`17` : `10,031,642`	0.001	0.999	0.000
rs11867479 lBF = `-0.0010545` Chr`17` : `68,090,207`	0.001	0.999	0.000
rs1380181 lBF = `-0.0707018` Chr`17` : `15,193,056`	0.001	0.999	0.000
rs7477 lBF = `-0.0892816` Chr`17` : `16,246,016`	0.000	0.999	0.001
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.999	0.001
rs730547 lBF = `-0.0350368` Chr`17` : `33,112,106`	0.000	0.999	0.001
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.001	0.999	0.000
rs9893168 lBF = `5.87412` Chr`17` : `10,031,571`	0.001	0.999	0.000
rs72823592 lBF = `0.0220647` Chr`17` : `46,123,004`	0.000	0.999	0.001
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.001	0.999	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	0.999	0.001
rs10521232 lBF = `0.0694156` Chr`17` : `13,539,804`	0.000	0.999	0.001
rs3091316 lBF = `-0.0699381` Chr`17` : `32,593,974`	0.001	0.999	0.000
rs12950390 lBF = `-0.102435` Chr`17` : `45,830,948`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.001	0.999	0.000
rs7221059 lBF = `-0.092041` Chr`17` : `74,988,444`	0.001	0.999	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.001	0.999	0.000
rs1503059 lBF = `-0.0679629` Chr`17` : `50,204,456`	0.000	0.999	0.001
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	0.999	0.001
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
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
rs61744862 lBF = `0` Chr`17` : `17,068,182`	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
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
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
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
rs116885154 lBF = `-0.00001053` Chr`17` : `71,784,375`	0.001	0.999	0.000
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rs1431318 lBF = `-0.0635643` Chr`17` : `54,192,523`	0.000	1.000	0.000
rs892961 lBF = `-0.100491` Chr`17` : `75,400,100`	0.000	1.000	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.000	1.000	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	1.000	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	1.000	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.000	1.000	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.000	1.000	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	1.000	0.000
rs7223966 lBF = `0.0594609` Chr`17` : `61,893,398`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs11867934 lBF = `0.0230859` Chr`17` : `16,933,404`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	1.000	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	1.000	0.000
rs7216064 lBF = `0.00201617` Chr`17` : `65,898,809`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs4790333 lBF = `-0.0403491` Chr`17` : `2,262,703`	0.000	1.000	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	1.000	0.000
rs3853824 lBF = `-0.0933912` Chr`17` : `54,880,993`	0.000	1.000	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	1.000	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.000	1.000	0.000
rs391300 lBF = `1.03278` Chr`17` : `2,216,258`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs9906944 lBF = `0.452828` Chr`17` : `47,091,420`	0.000	1.000	0.000
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.000	1.000	0.000
rs7220711 lBF = `0.388513` Chr`17` : `41,789,965`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.000	1.000	0.000
rs2003347 lBF = `-0.00956259` Chr`17` : `35,273,345`	0.000	1.000	0.000
rs6504663 lBF = `-0.043126` Chr`17` : `48,591,209`	0.000	1.000	0.000
rs6503905 lBF = `-0.0482082` Chr`17` : `57,287,454`	0.000	1.000	0.000
rs4796604 lBF = `-0.0670436` Chr`17` : `39,890,876`	0.000	1.000	0.000
rs12950743 lBF = `13.9014` Chr`17` : `38,049,233`	0.000	1.000	0.000
rs4795405 lBF = `11.8075` Chr`17` : `38,088,417`	0.000	1.000	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.000	1.000	0.000
rs199501 lBF = `6.03665` Chr`17` : `44,862,613`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
rs1034927 lBF = `5.00381` Chr`17` : `44,334,419`	0.000	1.000	0.000
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	1.000	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	1.000	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.000	1.000	0.000
rs2074404 lBF = `1.63065` Chr`17` : `44,865,439`	0.000	1.000	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	1.000	0.000
rs4792909 lBF = `0.822937` Chr`17` : `41,798,824`	0.000	1.000	0.000
rs216205 lBF = `0.627465` Chr`17` : `2,196,150`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	1.000	0.000
rs7219585 lBF = `0.0129515` Chr`17` : `72,268,208`	0.000	1.000	0.000
rs7219451 lBF = `0.00919412` Chr`17` : `38,957,002`	0.000	1.000	0.000
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.000	1.000	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	1.000	0.000
rs55714927 lBF = `-0.0253605` Chr`17` : `7,080,316`	0.000	1.000	0.000
rs718073 lBF = `-0.0274968` Chr`17` : `70,584,265`	0.000	1.000	0.000
rs7215990 lBF = `-0.0278399` Chr`17` : `6,034,831`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.000	1.000	0.000
rs16970672 lBF = `-0.0496285` Chr`17` : `75,944,650`	0.000	1.000	0.000
rs3785859 lBF = `-0.087359` Chr`17` : `59,379,738`	0.000	1.000	0.000
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.000	1.000	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	1.000	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.000	1.000	0.000
rs1292053 lBF = `0.359007` Chr`17` : `57,963,537`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs2969180 lBF = `0.0546844` Chr`17` : `11,407,901`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	1.000	0.000
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	1.000	0.000
rs923375 lBF = `-0.0351892` Chr`17` : `3,393,068`	0.000	1.000	0.000
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.000	1.000	0.000
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.000	1.000	0.000
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.000	1.000	0.000
rs3744790 lBF = `-0.0514657` Chr`17` : `76,893,135`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs4329 lBF = `-0.0707658` Chr`17` : `61,563,458`	0.000	1.000	0.000
rs4791774 lBF = `-0.0958877` Chr`17` : `8,932,119`	0.000	1.000	0.000
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	0.000	1.000	0.000
rs12103884 lBF = `14.2192` Chr`17` : `38,045,725`	0.000	1.000	0.000
rs12601991 lBF = `14.0917` Chr`17` : `36,101,633`	0.000	1.000	0.000
rs8067378 lBF = `13.3376` Chr`17` : `38,051,348`	0.000	1.000	0.000
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	1.000	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.000	1.000	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.000	1.000	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	1.000	0.000
rs4793529 lBF = `4.52568` Chr`17` : `69,118,636`	0.000	1.000	0.000
rs8071558 lBF = `4.46114` Chr`17` : `69,107,673`	0.000	1.000	0.000
rs17765344 lBF = `4.44954` Chr`17` : `69,106,874`	0.000	1.000	0.000
rs1859962 lBF = `4.17106` Chr`17` : `69,108,753`	0.000	1.000	0.000
rs318095 lBF = `0.767402` Chr`17` : `46,974,734`	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

0.9804

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9785

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9722

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9698

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9662

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9615

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9560

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9560

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9554

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9518

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9364

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9315

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9300

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9217

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9195

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9167

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8982

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8926

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8880

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8806

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8787

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8686

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8498

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8334

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8314

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8249

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8219

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8187

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8011

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7875

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7805

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7790

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7762

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7693

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7620

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7501

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7467

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7356

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7324

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7318

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7179

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7084

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7028

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7007

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6918

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6844

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6762

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6685

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6622

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6559

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6534

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6480

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6476

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6385

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6187

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6161

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6093

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6050

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6022

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6005

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6003

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5982

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5872

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5799

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5765

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5720

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5630

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5628

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5623

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5583

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5522

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5403

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5347

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5315

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5265

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4881

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4798

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4747

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4745

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4720

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4707

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4690

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4685

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4671

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4656

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4576

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4507

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4310

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4145

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4104

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3965

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3917

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3729

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3595

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3594

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3505

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3305

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3046

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3003

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2891

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2750

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2671

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2659

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2464

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2356

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2298

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2248

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2068

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1925

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1861

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1855

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1847

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1704

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1598

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1516

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1495

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1262

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1255

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1233

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1203

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1157

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1137

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1035

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1010

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0989

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0951

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0932

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0922

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0818

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0729

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0559

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`)