TreeWAS – [I98.0] Cardiovascular syphilis

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
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.618	0.382	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	0.409	0.591
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.547	0.453	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.533	0.466	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.523	0.477	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.514	0.486	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.506	0.494	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.504	0.496	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.502	0.497	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.498	0.502	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.497	0.503	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.494	0.506	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.493	0.506	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.492	0.508	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.488	0.512	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.486	0.513	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.486	0.514	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.484	0.516	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.483	0.517	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.482	0.517	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.477	0.523	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.458	0.542	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.449	0.551	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.445	0.555	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.441	0.558	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.440	0.560	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.424	0.576	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.421	0.579	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.417	0.583	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.417	0.583	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.398	0.601	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.397	0.602	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.397	0.603	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.605	0.395
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.395	0.605	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.394	0.606	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.391	0.609	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.390	0.610	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.387	0.613	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.386	0.614	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.384	0.616	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.381	0.618	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.381	0.619	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.377	0.622	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.375	0.625	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.373	0.627	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.373	0.627	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.369	0.631	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.367	0.633	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.365	0.635	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.363	0.637	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.363	0.637	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.361	0.639	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.360	0.640	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.359	0.641	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.357	0.643	0.000
rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	0.000	0.647	0.353
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.352	0.648	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.350	0.649	0.000
rs4987082 lBF = `9.49246` Chr`17` : `47,481,374`	0.347	0.653	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.341	0.658	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.341	0.658	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.336	0.663	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.336	0.664	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.335	0.665	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.333	0.667	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.325	0.675	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.317	0.683	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.312	0.688	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.310	0.689	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.308	0.692	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.302	0.698	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.302	0.698	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.301	0.698	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.300	0.700	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.298	0.702	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.298	0.702	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.289	0.711	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.285	0.715	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.271	0.728	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.270	0.730	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.266	0.734	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.261	0.738	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.259	0.740	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.259	0.741	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.253	0.747	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.251	0.748	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.250	0.750	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.250	0.750	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.249	0.751	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.242	0.757	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.238	0.762	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.233	0.767	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.230	0.769	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.226	0.774	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.221	0.779	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.219	0.781	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.219	0.781	0.000
rs7222591 lBF = `5.54307` Chr`17` : `47,507,019`	0.218	0.782	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.207	0.793	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.204	0.796	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.200	0.800	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.198	0.802	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.185	0.814	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.182	0.818	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.176	0.824	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.133	0.867	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.130	0.870	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.127	0.873	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.123	0.877	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.120	0.880	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.118	0.881	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.115	0.884	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.112	0.888	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.901	0.098
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.097	0.903	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.094	0.905	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.085	0.915	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.071	0.928	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.063	0.937	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.061	0.939	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.060	0.940	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.057	0.943	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.055	0.945	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.054	0.946	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.053	0.947	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.051	0.949	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.045	0.955	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.040	0.960	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.032	0.962	0.006
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.036	0.964	0.000
rs216196 lBF = `8.07442` Chr`17` : `2,202,943`	0.000	0.967	0.032
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.029	0.970	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.021	0.978	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.021	0.978	0.001
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.000	0.983	0.017
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.017	0.983	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.017	0.983	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.017	0.983	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.016	0.984	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.014	0.986	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.012	0.988	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.012	0.988	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.012	0.988	0.000
rs35895680 lBF = `0.224475` Chr`17` : `47,060,322`	0.000	0.988	0.011
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.011	0.989	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.010	0.989	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.009	0.990	0.000
rs2302783 lBF = `5.36933` Chr`17` : `66,447,073`	0.000	0.991	0.009
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.009	0.991	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.008	0.992	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.008	0.992	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.008	0.992	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.008	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.007	0.993	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.006	0.993	0.000
rs2019216 lBF = `-0.0996054` Chr`17` : `21,909,650`	0.000	0.993	0.006
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	0.993	0.006
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.006	0.993	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.006	0.994	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.005	0.994	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.005	0.995	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.004	0.995	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	0.995	0.004
rs11655550 lBF = `0.0523183` Chr`17` : `37,610,123`	0.000	0.996	0.004
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.004	0.996	0.000
rs6504218 lBF = `0.518288` Chr`17` : `62,408,299`	0.004	0.996	0.000
rs1994884 lBF = `5.45058` Chr`17` : `2,084,008`	0.004	0.996	0.000
rs216205 lBF = `0.627465` Chr`17` : `2,196,150`	0.000	0.996	0.004
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.003	0.996	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.003	0.997	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	0.997	0.003
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.003	0.997	0.000
rs8074700 lBF = `-0.0327177` Chr`17` : `46,749,791`	0.000	0.998	0.002
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.002	0.998	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.002	0.998	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	0.998	0.002
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.002	0.998	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.998	0.001
rs8074751 lBF = `-0.0660515` Chr`17` : `63,642,542`	0.000	0.998	0.002
rs271674 lBF = `-0.0396692` Chr`17` : `47,978,986`	0.000	0.998	0.002
rs2760743 lBF = `6.55443` Chr`17` : `2,017,079`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.002	0.998	0.000
rs8081523 lBF = `0.0423272` Chr`17` : `76,304,510`	0.002	0.998	0.000
rs7212938 lBF = `5.09178` Chr`17` : `38,122,680`	0.000	0.998	0.002
rs2289681 lBF = `0.280258` Chr`17` : `42,989,088`	0.002	0.998	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.001	0.998	0.000
rs3096644 lBF = `0.151127` Chr`17` : `46,757,575`	0.001	0.998	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.001	0.998	0.001
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	0.998	0.001
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.001	0.998	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.001	0.999	0.000
rs4795519 lBF = `-0.0896733` Chr`17` : `25,541,278`	0.000	0.999	0.001
rs3894194 lBF = `6.96611` Chr`17` : `38,121,993`	0.000	0.999	0.001
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.001	0.999	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.001	0.999	0.000
rs4792192 lBF = `0.0208944` Chr`17` : `11,803,461`	0.000	0.999	0.001
rs757608 lBF = `0.246952` Chr`17` : `59,497,277`	0.000	0.999	0.001
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rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	0.999	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	0.999	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	0.999	0.000
rs12950743 lBF = `13.9014` Chr`17` : `38,049,233`	0.000	0.999	0.000
rs9303280 lBF = `13.2746` Chr`17` : `38,074,031`	0.000	0.999	0.000
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.000	0.999	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	0.999	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	0.999	0.000
rs2517959 lBF = `4.33643` Chr`17` : `37,846,512`	0.000	0.999	0.000
rs391300 lBF = `1.03278` Chr`17` : `2,216,258`	0.000	0.999	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	0.999	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	0.999	0.000
rs2079742 lBF = `0.0444277` Chr`17` : `59,465,697`	0.000	0.999	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	0.999	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	0.999	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.999	0.000
rs12185265 lBF = `0.0183091` Chr`17` : `35,274,282`	0.000	0.999	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	0.999	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	0.999	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	0.999	0.000
rs9910816 lBF = `-0.00214457` Chr`17` : `66,344,703`	0.000	0.999	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.000	0.999	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	0.999	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	0.999	0.000
rs7213812 lBF = `-0.049552` Chr`17` : `31,448,649`	0.000	0.999	0.000
rs4796217 lBF = `-0.0590889` Chr`17` : `34,819,191`	0.000	0.999	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.999	0.000
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.000	0.999	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.000	0.999	0.000
rs507506 lBF = `0.39092` Chr`17` : `7,118,322`	0.000	0.999	0.000
rs2084881 lBF = `0.376223` Chr`17` : `46,357,120`	0.000	0.999	0.000
rs1292053 lBF = `0.359007` Chr`17` : `57,963,537`	0.000	0.999	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	0.999	0.000
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.000	0.999	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	0.999	0.000
rs7503953 lBF = `-0.00427826` Chr`17` : `6,141,677`	0.000	0.999	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	0.999	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	0.999	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	0.999	0.000
rs9908552 lBF = `-0.0485673` Chr`17` : `1,297,991`	0.000	0.999	0.000
rs8067545 lBF = `-0.0580308` Chr`17` : `19,912,710`	0.000	0.999	0.000
rs12940030 lBF = `-0.0589294` Chr`17` : `14,561,016`	0.000	0.999	0.000
rs7211079 lBF = `-0.0664865` Chr`17` : `78,107,537`	0.000	0.999	0.000
rs12601358 lBF = `-0.0774552` Chr`17` : `11,094,177`	0.000	0.999	0.000
rs10775360 lBF = `-0.108353` Chr`17` : `68,325,868`	0.000	0.999	0.000
rs12103884 lBF = `14.2192` Chr`17` : `38,045,725`	0.000	0.999	0.000
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.000	0.999	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.000	0.999	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.000	0.999	0.000
rs3110496 lBF = `1.23808` Chr`17` : `27,917,771`	0.000	0.999	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	0.999	0.000
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.000	0.999	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	0.999	0.000
rs11650106 lBF = `0.0426128` Chr`17` : `57,850,251`	0.000	0.999	0.000
rs1006703 lBF = `-0.00866852` Chr`17` : `3,865,399`	0.000	0.999	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	0.999	0.000
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.000	0.999	0.000
rs6504663 lBF = `-0.043126` Chr`17` : `48,591,209`	0.000	0.999	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	0.999	0.000
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.000	0.999	0.000
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	0.000	0.999	0.000
rs9900205 lBF = `-0.0886445` Chr`17` : `64,715,108`	0.000	0.999	0.000
rs4605213 lBF = `-0.113884` Chr`17` : `49,244,747`	0.000	0.999	0.000
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.000	0.999	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	0.999	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	0.999	0.000
Affx-13851073 lBF = `12.5709` Chr`17` : `38,080,865`	0.000	0.999	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	0.999	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	0.999	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	0.999	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.000	0.999	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.000	0.999	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	0.999	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	0.999	0.000
rs10521232 lBF = `0.0694156` Chr`17` : `13,539,804`	0.000	0.999	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	0.999	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	0.999	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	0.999	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	0.999	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	0.999	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	0.999	0.000
rs7226229 lBF = `0.0088149` Chr`17` : `20,924,077`	0.000	0.999	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	0.999	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	0.999	0.000
rs2326017 lBF = `-0.00508694` Chr`17` : `46,720,565`	0.000	0.999	0.000
rs6504909 lBF = `-0.00947766` Chr`17` : `52,548,125`	0.000	0.999	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	0.999	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	0.999	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	0.999	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	0.999	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	0.999	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	0.999	0.000
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.000	0.999	0.000
rs7219669 lBF = `-0.104703` Chr`17` : `68,521,861`	0.000	0.999	0.000
rs2305479 lBF = `13.817` Chr`17` : `38,062,217`	0.000	0.999	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	0.999	0.000
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.000	0.999	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.2341

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1928

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1555

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.1282

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7167

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.7165

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7160

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7160

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7142

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7140

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7107

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7085

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7078

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7076

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7052

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7048

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6997

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6988

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6978

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6957

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6924

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6920

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6910

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6871

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6855

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6835

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6809

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6807

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6784

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6780

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6774

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6725

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6719

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6689

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6661

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6638

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6633

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6630

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6589

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6550

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6527

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6510

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6488

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6472

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6463

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6448

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6307

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6227

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6222

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6220

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6155

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6146

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6120

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6051

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5985

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5950

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5948

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5942

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5921

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5919

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5881

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5877

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5859

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5848

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5742

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.5696

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5603

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5578

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5544

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5534

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5519

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5509

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5481

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5459

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5433

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5408

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5391

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5338

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5333

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5320

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5292

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5160

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5136

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5127

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5115

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5078

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5043

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5025

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5009

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4913

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4905

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4893

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4881

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4874

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4839

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4811

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4806

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4777

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4634

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4615

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4606

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4527

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4501

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4480

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4433

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4376

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4360

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4334

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4284

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4239

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4215

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4213

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4187

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4113

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4069

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4040

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3998

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3993

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3992

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3976

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3938

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3918

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3916

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3861

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3849

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3839

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3828

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3759

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3752

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3745

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3730

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3684

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3673

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.3663

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3663

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3662

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3657

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3657

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3646

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3641

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3612

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3572

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3546

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3542

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3460

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3426

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3408

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3371

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3331

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3327

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3325

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3297

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3286

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3276

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3234

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3211

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3197

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3175

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3158

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3122

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3101

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3059

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3038

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3015

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2999

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2948

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2933

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2880

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2880

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2854

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2789

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2701

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2645

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2639

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2605

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2448

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2446

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2444

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2419

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.2302

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2220

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2172

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2163

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2079

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1938

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1819

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1818

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1754

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1714

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.1705

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1629

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.1625

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1595

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1544

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1472

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1471

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1318

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1215

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1188

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.1150

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1048

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1017

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0897

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0770

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0706

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.0625

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`)