TreeWAS – [K14.0] Glossitis

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
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.967	0.033	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.894	0.106	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.815	0.185	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.713	0.287	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.652	0.348	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.620	0.380	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.603	0.397	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.527	0.473	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.488	0.512	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.464	0.536	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.457	0.542	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.453	0.547	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.447	0.552	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.442	0.558	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.426	0.574	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.406	0.594	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.397	0.603	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.390	0.610	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.376	0.623	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.366	0.634	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.346	0.654	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.325	0.674	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.323	0.676	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.315	0.685	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.295	0.704	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.289	0.711	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.285	0.715	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.275	0.725	0.001
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.267	0.733	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.264	0.736	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.255	0.744	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.252	0.747	0.001
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.251	0.749	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.226	0.773	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.214	0.786	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.206	0.794	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.189	0.811	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.185	0.814	0.001
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.164	0.836	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.157	0.842	0.001
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.152	0.848	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.151	0.848	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.152	0.848	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.147	0.853	0.001
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.145	0.855	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.127	0.873	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.120	0.880	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.119	0.881	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.118	0.881	0.001
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.105	0.894	0.001
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.094	0.906	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.093	0.907	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.092	0.908	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.091	0.908	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.087	0.913	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.086	0.913	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.064	0.936	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.056	0.944	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.047	0.953	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.047	0.953	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.043	0.957	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.041	0.958	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.040	0.960	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.039	0.960	0.001
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.037	0.963	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.034	0.966	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.032	0.968	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.031	0.969	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.031	0.969	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.029	0.971	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.029	0.971	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.025	0.974	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.023	0.976	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.023	0.977	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.021	0.979	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.020	0.980	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.019	0.981	0.000
rs892961 lBF = `-0.100491` Chr`17` : `75,400,100`	0.018	0.982	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.015	0.985	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.015	0.985	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.014	0.986	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.013	0.986	0.001
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.014	0.986	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.013	0.987	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.013	0.987	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.013	0.987	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.012	0.988	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.010	0.990	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.991	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.008	0.991	0.000
rs906175 lBF = `0.0194719` Chr`17` : `79,173,462`	0.000	0.992	0.008
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.008	0.992	0.001
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.008	0.992	0.001
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.008	0.992	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.008	0.992	0.000
rs7219585 lBF = `0.0129515` Chr`17` : `72,268,208`	0.000	0.992	0.008
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.006	0.994	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.005	0.994	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.006	0.994	0.000
rs1035050 lBF = `-0.0589331` Chr`17` : `47,564,012`	0.006	0.994	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.005	0.995	0.000
rs1046896 lBF = `-0.091256` Chr`17` : `80,685,533`	0.005	0.995	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.005	0.995	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.005	0.995	0.000
rs7224668 lBF = `-0.0447813` Chr`17` : `79,235,788`	0.005	0.995	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.005	0.995	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.004	0.996	0.000
rs1642764 lBF = `0.0051968` Chr`17` : `7,557,834`	0.004	0.996	0.000
rs4343 lBF = `-0.0859132` Chr`17` : `61,566,031`	0.004	0.996	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.004	0.996	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.003	0.996	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.003	0.996	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.003	0.996	0.000
rs10445407 lBF = `-0.083493` Chr`17` : `79,261,809`	0.003	0.997	0.000
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.003	0.997	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.003	0.997	0.000
rs11079757 lBF = `-0.0562497` Chr`17` : `45,195,850`	0.000	0.997	0.003
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.003	0.997	0.000
rs758642 lBF = `-0.0545184` Chr`17` : `3,786,907`	0.000	0.997	0.003
rs11867934 lBF = `0.0230859` Chr`17` : `16,933,404`	0.003	0.997	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.003	0.997	0.000
rs1046875 lBF = `-0.0895966` Chr`17` : `80,685,426`	0.000	0.997	0.003
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	0.997	0.002
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.997	0.002
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.002	0.997	0.000
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.002	0.998	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.002	0.998	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.002	0.998	0.000
rs2279913 lBF = `-0.0836422` Chr`17` : `79,168,268`	0.002	0.998	0.000
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.002	0.998	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.002	0.998	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.002	0.998	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.002	0.998	0.001
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.002	0.998	0.000
rs2659005 lBF = `-0.0444975` Chr`17` : `79,218,714`	0.000	0.998	0.002
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.002	0.998	0.000
rs4329 lBF = `-0.0707658` Chr`17` : `61,563,458`	0.002	0.998	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.000	0.998	0.002
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.002	0.998	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	0.998	0.002
rs11654964 lBF = `0.0223935` Chr`17` : `32,989,538`	0.002	0.998	0.000
rs1431318 lBF = `-0.0635643` Chr`17` : `54,192,523`	0.000	0.998	0.002
rs623323 lBF = `-0.0439502` Chr`17` : `700,020`	0.002	0.998	0.000
rs4362 lBF = `-0.0889821` Chr`17` : `61,573,761`	0.002	0.998	0.000
rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	0.000	0.998	0.002
rs216205 lBF = `0.627465` Chr`17` : `2,196,150`	0.000	0.998	0.002
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.002	0.998	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	0.998	0.002
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.001	0.998	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.002	0.998	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.001	0.999	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.001	0.999	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.001	0.999	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	0.999	0.001
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.001	0.999	0.000
rs6503659 lBF = `0.271348` Chr`17` : `39,897,264`	0.001	0.999	0.000
rs4795519 lBF = `-0.0896733` Chr`17` : `25,541,278`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.001	0.999	0.000
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	0.999	0.001
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.000	0.999	0.001
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	0.999	0.001
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.999	0.001
rs9912468 lBF = `-0.0734971` Chr`17` : `64,318,357`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs4351 lBF = `-0.0708325` Chr`17` : `61,569,732`	0.001	0.999	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.001	0.999	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.001	0.999	0.000
rs12051723 lBF = `0.048562` Chr`17` : `78,324,259`	0.000	0.999	0.001
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.001	0.999	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.001	0.999	0.000
rs4625783 lBF = `-0.0606171` Chr`17` : `80,086,395`	0.000	0.999	0.001
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.001	0.999	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.001	0.999	0.000
rs2945412 lBF = `0.200736` Chr`17` : `25,843,643`	0.001	0.999	0.000
rs9892651 lBF = `-0.0651436` Chr`17` : `64,303,793`	0.001	0.999	0.000
rs1503059 lBF = `-0.0679629` Chr`17` : `50,204,456`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs28998802 lBF = `-0.0455744` Chr`17` : `26,124,908`	0.001	0.999	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.001	0.999	0.000
rs199498 lBF = `4.33325` Chr`17` : `44,865,603`	0.000	0.999	0.001
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	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
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
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rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	1.000	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.000	1.000	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	1.000	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	1.000	0.000
rs959260 lBF = `-0.0625843` Chr`17` : `73,369,422`	0.000	1.000	0.000
rs7221059 lBF = `-0.092041` Chr`17` : `74,988,444`	0.000	1.000	0.000
rs2190547 lBF = `-0.105046` Chr`17` : `68,929,435`	0.000	1.000	0.000
rs3902025 lBF = `6.12351` Chr`17` : `38,119,254`	0.000	1.000	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.000	1.000	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	1.000	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.000	1.000	0.000
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	1.000	0.000
rs4144743 lBF = `-0.00182064` Chr`17` : `45,323,125`	0.000	1.000	0.000
rs997781 lBF = `-0.00491408` Chr`17` : `67,117,688`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.000	1.000	0.000
rs626657 lBF = `-0.055643` Chr`17` : `37,332,963`	0.000	1.000	0.000
rs9635759 lBF = `-0.0807129` Chr`17` : `49,613,785`	0.000	1.000	0.000
rs4788985 lBF = `-0.112155` Chr`17` : `75,313,335`	0.000	1.000	0.000
rs728478 lBF = `-0.120974` Chr`17` : `57,466,504`	0.000	1.000	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.000	1.000	0.000
rs4793529 lBF = `4.52568` Chr`17` : `69,118,636`	0.000	1.000	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.000	1.000	0.000
rs116908816 lBF = `0.615666` Chr`17` : `32,422,699`	0.000	1.000	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	1.000	0.000
rs35895680 lBF = `0.224475` Chr`17` : `47,060,322`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs4796285 lBF = `-0.00752796` Chr`17` : `35,181,996`	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
rs8074980 lBF = `-0.0445688` Chr`17` : `56,010,960`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	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
rs17779747 lBF = `-0.10726` Chr`17` : `68,494,992`	0.000	1.000	0.000
rs2760743 lBF = `6.55443` Chr`17` : `2,017,079`	0.000	1.000	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.000	1.000	0.000
rs1994884 lBF = `5.45058` Chr`17` : `2,084,008`	0.000	1.000	0.000
rs4794822 lBF = `1.70366` Chr`17` : `38,156,712`	0.000	1.000	0.000
rs8078723 lBF = `1.62102` Chr`17` : `38,166,879`	0.000	1.000	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	1.000	0.000
rs3751972 lBF = `0.408036` Chr`17` : `26,206,414`	0.000	1.000	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.000	1.000	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	1.000	0.000
rs2320952 lBF = `0.0109096` Chr`17` : `10,466,474`	0.000	1.000	0.000
rs7216064 lBF = `0.00201617` Chr`17` : `65,898,809`	0.000	1.000	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	1.000	0.000
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.000	1.000	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs623011 lBF = `-0.0326514` Chr`17` : `68,259,446`	0.000	1.000	0.000
rs8076457 lBF = `-0.0365304` Chr`17` : `8,943,929`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	1.000	0.000
rs7213812 lBF = `-0.049552` Chr`17` : `31,448,649`	0.000	1.000	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	1.000	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.000	1.000	0.000
rs3889237 lBF = `-0.0929532` Chr`17` : `64,779,430`	0.000	1.000	0.000
rs4792394 lBF = `-0.0952234` Chr`17` : `13,684,917`	0.000	1.000	0.000
rs225190 lBF = `-0.108737` Chr`17` : `30,877,658`	0.000	1.000	0.000
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.000	1.000	0.000
rs4523957 lBF = `1.52831` Chr`17` : `2,208,899`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	1.000	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs4006360 lBF = `0.00360154` Chr`17` : `39,250,639`	0.000	1.000	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	1.000	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	1.000	0.000
rs9898058 lBF = `-0.0471767` Chr`17` : `47,818,821`	0.000	1.000	0.000
rs56364076 lBF = `-0.0536795` Chr`17` : `40,565,035`	0.000	1.000	0.000
rs12948394 lBF = `-0.0563817` Chr`17` : `76,382,791`	0.000	1.000	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	1.000	0.000
rs1513670 lBF = `-0.0762696` Chr`17` : `41,807,331`	0.000	1.000	0.000
rs12453935 lBF = `-0.0882798` Chr`17` : `59,897,455`	0.000	1.000	0.000
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	0.000	1.000	0.000
rs11656696 lBF = `5.98584` Chr`17` : `10,033,679`	0.000	1.000	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	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 X0073

log Bayes Factor = 785.614

contains 25 variants

0.9763

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9666

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9661

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9610

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9554

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9539

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9516

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9432

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9254

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9164

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9115

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9017

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8909

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8776

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8654

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8557

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8337

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8221

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8171

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8036

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7903

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7866

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7837

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7827

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7826

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7773

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7607

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7304

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7211

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7068

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6982

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6915

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6871

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6864

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6861

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6663

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6375

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6297

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5986

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5981

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5919

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5842

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5839

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5822

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5746

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5541

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5526

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5499

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5352

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5347

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5343

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5321

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5159

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4909

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4791

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4580

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4230

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4213

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4177

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4095

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4027

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3980

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3964

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3951

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3917

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3885

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3857

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3802

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3772

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3667

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3604

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3538

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3313

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3225

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3202

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3193

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2934

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2711

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2632

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2540

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2511

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2435

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2405

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2349

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2340

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2318

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2310

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2293

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2103

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1957

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1934

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1805

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1790

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1754

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1749

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1739

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1635

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1537

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1474

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1302

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1275

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1256

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1185

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1171

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1086

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0990

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0964

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0933

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0929

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0873

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0845

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0812

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0707

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0705

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0694

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0682

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0657

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0608

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0548

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.0542

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`)