TreeWAS – [G45.4] Transient global amnesia

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
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.835	0.165	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.816	0.184	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.776	0.224	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.712	0.288	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.709	0.291	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.700	0.300	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.670	0.330	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.668	0.331	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.623	0.377	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.618	0.382	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.618	0.382	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.603	0.397	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.594	0.406	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.580	0.420	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.566	0.434	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.542	0.458	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.538	0.462	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.515	0.485	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.514	0.486	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.502	0.498	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.492	0.508	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.484	0.516	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.478	0.522	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.468	0.532	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.456	0.544	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.452	0.548	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.447	0.553	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.432	0.567	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.429	0.570	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.424	0.576	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.412	0.588	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.411	0.589	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.410	0.589	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.400	0.600	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.388	0.611	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.388	0.612	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.377	0.623	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.364	0.635	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.361	0.639	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.360	0.640	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.360	0.640	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.352	0.647	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.349	0.651	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.349	0.651	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.344	0.656	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.338	0.662	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.321	0.679	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.319	0.680	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.316	0.684	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.311	0.689	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.309	0.690	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.309	0.691	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.309	0.691	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.306	0.694	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.305	0.694	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.300	0.700	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.299	0.701	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.299	0.701	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.293	0.707	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.293	0.707	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.281	0.719	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.277	0.722	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.271	0.729	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.261	0.738	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.252	0.748	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.249	0.751	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.246	0.754	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.237	0.763	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.228	0.772	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.226	0.774	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.210	0.790	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.207	0.793	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.206	0.793	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.205	0.794	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.202	0.798	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.199	0.801	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.195	0.805	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.191	0.809	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.187	0.813	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.175	0.824	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.174	0.825	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.170	0.830	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.169	0.831	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.166	0.834	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.165	0.834	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.159	0.841	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.156	0.844	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.146	0.854	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.145	0.855	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.141	0.859	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.137	0.863	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.128	0.871	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.126	0.874	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.118	0.882	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.115	0.885	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.107	0.893	0.001
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.106	0.894	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.094	0.906	0.001
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.091	0.909	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.089	0.910	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.088	0.911	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.087	0.913	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.087	0.913	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.085	0.915	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.084	0.916	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.073	0.926	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.072	0.928	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.068	0.932	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.066	0.933	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.065	0.935	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.062	0.938	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.061	0.939	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.059	0.941	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.059	0.941	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.057	0.942	0.001
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.056	0.944	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.055	0.945	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.054	0.946	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.051	0.949	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.050	0.950	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.047	0.953	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.045	0.955	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.040	0.958	0.001
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.039	0.960	0.001
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.035	0.965	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.035	0.965	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.035	0.965	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.029	0.971	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.024	0.975	0.001
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.024	0.975	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.024	0.975	0.001
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.024	0.976	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.022	0.978	0.000
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.021	0.979	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.020	0.979	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.020	0.980	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.019	0.980	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.019	0.981	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.016	0.984	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.016	0.984	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.015	0.985	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.014	0.986	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.013	0.987	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.012	0.987	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.012	0.988	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.011	0.988	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.010	0.989	0.001
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.009	0.990	0.001
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.009	0.991	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.008	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.993	0.000
rs8067165 lBF = `-0.0740107` Chr`17` : `8,031,936`	0.006	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.005	0.995	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.005	0.995	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.004	0.995	0.002
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.005	0.995	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.000	0.995	0.005
rs242557 lBF = `0.174769` Chr`17` : `44,019,712`	0.004	0.996	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.004	0.996	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.003	0.996	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.004	0.996	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.004	0.996	0.000
rs17808461 lBF = `-0.0751725` Chr`17` : `31,393,702`	0.000	0.996	0.004
rs6761 lBF = `0.117299` Chr`17` : `7,417,663`	0.000	0.996	0.004
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.004	0.996	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	0.997	0.003
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs12449568 lBF = `-0.110223` Chr`17` : `54,430,155`	0.003	0.997	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	0.997	0.003
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.003	0.997	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.002	0.997	0.001
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.003	0.997	0.000
rs4924935 lBF = `0.131716` Chr`17` : `18,753,870`	0.000	0.997	0.003
rs180515 lBF = `0.809847` Chr`17` : `58,024,275`	0.002	0.998	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.002	0.998	0.000
rs1292053 lBF = `0.359007` Chr`17` : `57,963,537`	0.002	0.998	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.002	0.998	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.002	0.998	0.000
rs2378870 lBF = `-0.0356024` Chr`17` : `59,638,623`	0.002	0.998	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.002	0.998	0.000
rs11077614 lBF = `-0.112597` Chr`17` : `70,594,629`	0.000	0.998	0.002
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.002	0.998	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.002	0.998	0.000
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.002	0.998	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.002	0.998	0.000
rs3091316 lBF = `-0.0699381` Chr`17` : `32,593,974`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.002	0.998	0.000
rs3091315 lBF = `-0.0705817` Chr`17` : `32,593,665`	0.000	0.998	0.002
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.002	0.998	0.000
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.000	0.998	0.002
rs9894429 lBF = `0.0357377` Chr`17` : `79,596,811`	0.002	0.998	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	0.998	0.001
rs9914258 lBF = `5.38881` Chr`17` : `10,031,642`	0.000	0.999	0.001
rs8073783 lBF = `-0.0163119` Chr`17` : `51,237,941`	0.001	0.999	0.000
rs4605213 lBF = `-0.113884` Chr`17` : `49,244,747`	0.000	0.999	0.001
rs9889296 lBF = `-0.0525696` Chr`17` : `32,570,547`	0.000	0.999	0.001
rs2279913 lBF = `-0.0836422` Chr`17` : `79,168,268`	0.000	0.999	0.001
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
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Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	1.000	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.000	1.000	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.000	1.000	0.000
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.000	1.000	0.000
Affx-13928850 lBF = `7.97634` Chr`17` : `44,017,124`	0.000	1.000	0.000
rs2074404 lBF = `1.63065` Chr`17` : `44,865,439`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs727428 lBF = `0.234682` Chr`17` : `7,537,792`	0.000	1.000	0.000
rs7224488 lBF = `0.13188` Chr`17` : `54,868,625`	0.000	1.000	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs3785574 lBF = `-0.0197042` Chr`17` : `61,763,185`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	1.000	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	1.000	0.000
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.000	1.000	0.000
rs2070776 lBF = `-0.0513655` Chr`17` : `62,007,498`	0.000	1.000	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	1.000	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.000	1.000	0.000
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.000	1.000	0.000
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.000	1.000	0.000
rs2567519 lBF = `-0.0475196` Chr`17` : `70,788,406`	0.000	1.000	0.000
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	1.000	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.000	1.000	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.000	1.000	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	1.000	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.000	1.000	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.000	1.000	0.000
Affx-13925359 lBF = `8.63146` Chr`17` : `43,804,619`	0.000	1.000	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	1.000	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	1.000	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.000	1.000	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs10438797 lBF = `0.259573` Chr`17` : `27,491,862`	0.000	1.000	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs4617927 lBF = `0.0387266` Chr`17` : `53,356,126`	0.000	1.000	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	1.000	0.000
rs9910816 lBF = `-0.00214457` Chr`17` : `66,344,703`	0.000	1.000	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	1.000	0.000
rs11868035 lBF = `-0.0214466` Chr`17` : `17,715,101`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.000	1.000	0.000
rs55714927 lBF = `-0.0253605` Chr`17` : `7,080,316`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.000	1.000	0.000
rs11079757 lBF = `-0.0562497` Chr`17` : `45,195,850`	0.000	1.000	0.000
rs3785859 lBF = `-0.087359` Chr`17` : `59,379,738`	0.000	1.000	0.000
rs28587833 lBF = `-0.0953642` Chr`17` : `78,511,327`	0.000	1.000	0.000
rs2190547 lBF = `-0.105046` Chr`17` : `68,929,435`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	1.000	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	1.000	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	1.000	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	1.000	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.000	1.000	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	1.000	0.000
Affx-13923840 lBF = `8.92182` Chr`17` : `43,707,619`	0.000	1.000	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.000	1.000	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.000	1.000	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.000	1.000	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	1.000	0.000
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.000	1.000	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	1.000	0.000
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.000	1.000	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.000	1.000	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.000	1.000	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.000	1.000	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.000	1.000	0.000
rs1034927 lBF = `5.00381` Chr`17` : `44,334,419`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs7223966 lBF = `0.0594609` Chr`17` : `61,893,398`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.000	1.000	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	1.000	0.000
rs1696756 lBF = `-0.0491303` Chr`17` : `77,827,973`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs6565653 lBF = `-0.0892474` Chr`17` : `78,201,783`	0.000	1.000	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	1.000	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
Affx-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1413

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0749

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9891

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9626

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9462

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9117

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9090

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9046

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8754

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8527

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8435

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8419

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8369

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8017

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7827

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7827

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7773

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7416

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7018

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6991

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6751

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6730

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6496

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6311

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6171

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6127

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6047

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5890

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5839

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5631

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5379

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5323

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5099

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5001

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4854

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4696

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4682

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4567

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4547

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4542

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4539

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4435

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4424

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4393

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4374

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4310

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4301

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4259

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4180

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4028

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3948

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3806

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3762

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3682

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3670

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3495

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3453

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3416

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3402

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3401

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3313

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3302

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3180

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3124

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3106

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3002

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2891

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2844

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2792

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2728

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2687

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2524

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2492

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2369

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2347

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2318

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2247

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2218

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2213

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2148

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2148

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2102

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2057

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1823

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1817

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1814

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1793

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1792

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1749

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1747

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1730

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1706

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1687

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1647

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1517

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1514

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1503

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1496

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1467

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1413

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1359

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1323

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1321

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1288

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1283

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1264

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1219

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1219

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1203

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1148

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1098

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1061

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1042

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1017

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1004

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0982

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0965

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0949

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0876

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0863

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0860

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0848

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0809

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0798

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0745

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0718

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0718

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0653

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0635

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0620

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0589

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0570

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0544

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0542

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0535

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0532

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0525

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`)