TreeWAS – [I63.9] Cerebral infarction, unspecified

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
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.962	0.038	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.884	0.116	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.832	0.168	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.828	0.172	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.802	0.198	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.798	0.202	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.795	0.205	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.738	0.262	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.698	0.302	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.656	0.344	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.642	0.358	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	0.361	0.639
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.636	0.364	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.626	0.374	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.620	0.380	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.601	0.399	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.571	0.429	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.560	0.440	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.547	0.453	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.542	0.458	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.520	0.480	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.490	0.510	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.484	0.516	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.473	0.527	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.471	0.529	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.467	0.533	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.436	0.564	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.423	0.577	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.421	0.579	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.419	0.581	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.418	0.582	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.414	0.586	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.405	0.595	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.396	0.604	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.395	0.605	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.392	0.608	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.365	0.635	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.357	0.643	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.356	0.644	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.353	0.647	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.350	0.650	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.332	0.668	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.332	0.668	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.326	0.674	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.321	0.679	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.318	0.682	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.683	0.317
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.306	0.694	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.302	0.698	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.296	0.704	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.295	0.705	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.294	0.706	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.294	0.706	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.274	0.726	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.266	0.734	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.266	0.734	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.261	0.739	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.255	0.745	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.248	0.752	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.245	0.755	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.243	0.757	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.238	0.761	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.233	0.767	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.213	0.787	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.199	0.801	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.196	0.804	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.195	0.805	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.192	0.808	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.184	0.816	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.183	0.817	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.182	0.818	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.181	0.819	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.174	0.826	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.172	0.828	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.167	0.833	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.157	0.843	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.149	0.851	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.138	0.860	0.001
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.139	0.861	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.138	0.862	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.134	0.866	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.127	0.873	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.121	0.879	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.119	0.880	0.001
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.110	0.889	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.109	0.891	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.099	0.901	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.099	0.901	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.094	0.906	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.094	0.906	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.092	0.908	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.090	0.910	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.081	0.919	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.081	0.919	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.078	0.922	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.075	0.924	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.070	0.930	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.068	0.932	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.000	0.936	0.064
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.061	0.939	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.060	0.939	0.000
rs35895680 lBF = `0.224475` Chr`17` : `47,060,322`	0.000	0.941	0.059
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.054	0.946	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.053	0.947	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.052	0.947	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.050	0.948	0.002
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.051	0.949	0.000
rs730547 lBF = `-0.0350368` Chr`17` : `33,112,106`	0.049	0.951	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.047	0.953	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.044	0.955	0.001
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.038	0.958	0.003
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.042	0.958	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.041	0.959	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.037	0.960	0.003
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.039	0.961	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.961	0.039
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.039	0.961	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.034	0.966	0.000
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.033	0.967	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.033	0.967	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.031	0.969	0.000
rs8066985 lBF = `-0.00771845` Chr`17` : `68,453,345`	0.025	0.975	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.025	0.975	0.000
rs11655550 lBF = `0.0523183` Chr`17` : `37,610,123`	0.000	0.976	0.024
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.024	0.976	0.000
rs1396515 lBF = `-0.00082143` Chr`17` : `68,430,993`	0.022	0.978	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.022	0.978	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.018	0.982	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.018	0.982	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.017	0.982	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.016	0.984	0.000
rs8077889 lBF = `-0.0167242` Chr`17` : `41,878,166`	0.016	0.984	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.015	0.985	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.013	0.987	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.013	0.987	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.011	0.987	0.002
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.012	0.988	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.011	0.989	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.009	0.990	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.008	0.992	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.008	0.992	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.007	0.992	0.001
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs11079830 lBF = `0.58289` Chr`17` : `46,682,630`	0.000	0.993	0.007
rs447921 lBF = `-0.0232117` Chr`17` : `74,414,559`	0.000	0.993	0.007
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.007	0.993	0.000
rs4987082 lBF = `9.49246` Chr`17` : `47,481,374`	0.007	0.993	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	0.994	0.006
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.006	0.994	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.006	0.994	0.000
rs9916302 lBF = `0.025262` Chr`17` : `37,499,949`	0.006	0.994	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.006	0.994	0.000
rs318095 lBF = `0.767402` Chr`17` : `46,974,734`	0.005	0.995	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.005	0.995	0.001
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.005	0.995	0.000
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	0.995	0.005
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.005	0.995	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.005	0.995	0.000
rs46522 lBF = `0.667709` Chr`17` : `46,988,597`	0.005	0.995	0.000
rs7226229 lBF = `0.0088149` Chr`17` : `20,924,077`	0.005	0.995	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.004	0.996	0.000
rs1007190 lBF = `-0.0305717` Chr`17` : `43,038,209`	0.004	0.996	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.004	0.996	0.000
rs3096644 lBF = `0.151127` Chr`17` : `46,757,575`	0.004	0.996	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.004	0.996	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.004	0.996	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.004	0.996	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.004	0.996	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.003	0.997	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.003	0.997	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.003	0.997	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.002	0.997	0.001
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.003	0.997	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.003	0.997	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.003	0.997	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.003	0.997	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.002	0.998	0.000
rs2517959 lBF = `4.33643` Chr`17` : `37,846,512`	0.000	0.998	0.002
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.002	0.998	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.998	0.001
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.002	0.998	0.000
rs9299 lBF = `0.0624181` Chr`17` : `46,669,430`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.002	0.998	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.002	0.998	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.002	0.998	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.001	0.998	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.002	0.998	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	0.998	0.002
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.998	0.002
rs7206961 lBF = `0.0336412` Chr`17` : `72,042,520`	0.001	0.999	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	0.999	0.001
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.001	0.999	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	0.999	0.001
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	0.999	0.001
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.001	0.999	0.000
rs7207499 lBF = `-0.0518373` Chr`17` : `64,447,165`	0.000	0.999	0.001
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.000	0.999	0.001
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rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	1.000	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	1.000	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	1.000	0.000
rs626657 lBF = `-0.055643` Chr`17` : `37,332,963`	0.000	1.000	0.000
rs7209700 lBF = `-0.0934874` Chr`17` : `45,351,118`	0.000	1.000	0.000
rs2017854 lBF = `-0.103445` Chr`17` : `65,488,021`	0.000	1.000	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.000	1.000	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	1.000	0.000
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.000	1.000	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	1.000	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs2854207 lBF = `0.121574` Chr`17` : `61,947,107`	0.000	1.000	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	1.000	0.000
rs7219014 lBF = `0.0314524` Chr`17` : `37,624,790`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	1.000	0.000
rs8076336 lBF = `0.00464987` Chr`17` : `18,212,614`	0.000	1.000	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	1.000	0.000
rs2326017 lBF = `-0.00508694` Chr`17` : `46,720,565`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs7221109 lBF = `-0.0186403` Chr`17` : `38,770,286`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs1994969 lBF = `-0.0480495` Chr`17` : `47,080,431`	0.000	1.000	0.000
rs12449568 lBF = `-0.110223` Chr`17` : `54,430,155`	0.000	1.000	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	1.000	0.000
rs227584 lBF = `0.397184` Chr`17` : `42,225,547`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	1.000	0.000
rs7223966 lBF = `0.0594609` Chr`17` : `61,893,398`	0.000	1.000	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	1.000	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs2672886 lBF = `-0.0283686` Chr`17` : `78,781,651`	0.000	1.000	0.000
rs1549519 lBF = `-0.0354373` Chr`17` : `53,757,787`	0.000	1.000	0.000
rs9303196 lBF = `-0.035859` Chr`17` : `5,907,443`	0.000	1.000	0.000
rs8066857 lBF = `-0.0364293` Chr`17` : `70,696,103`	0.000	1.000	0.000
rs3027247 lBF = `-0.0497048` Chr`17` : `8,130,867`	0.000	1.000	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.000	1.000	0.000
rs12450239 lBF = `-0.0953541` Chr`17` : `77,449,095`	0.000	1.000	0.000
rs6501431 lBF = `-0.0996646` Chr`17` : `68,976,415`	0.000	1.000	0.000
Affx-13922976 lBF = `5.36343` Chr`17` : `43,659,975`	0.000	1.000	0.000
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs9906944 lBF = `0.452828` Chr`17` : `47,091,420`	0.000	1.000	0.000
rs228769 lBF = `0.109429` Chr`17` : `42,193,185`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs11654964 lBF = `0.0223935` Chr`17` : `32,989,538`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	1.000	0.000
rs11658329 lBF = `-0.01479` Chr`17` : `61,763,031`	0.000	1.000	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	1.000	0.000
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.000	1.000	0.000
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.000	1.000	0.000
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	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
rs8072599 lBF = `-0.0594913` Chr`17` : `80,242,123`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs4792394 lBF = `-0.0952234` Chr`17` : `13,684,917`	0.000	1.000	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.000	1.000	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.000	1.000	0.000
rs415430 lBF = `3.99129` Chr`17` : `44,859,144`	0.000	1.000	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.000	1.000	0.000
rs199515 lBF = `3.83286` Chr`17` : `44,856,641`	0.000	1.000	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	1.000	0.000
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs169313 lBF = `0.704072` Chr`17` : `10,567,483`	0.000	1.000	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.000	1.000	0.000
rs11650066 lBF = `0.573506` Chr`17` : `32,287,449`	0.000	1.000	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	1.000	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.000	1.000	0.000
rs7220711 lBF = `0.388513` Chr`17` : `41,789,965`	0.000	1.000	0.000
rs962888 lBF = `0.185428` Chr`17` : `43,059,071`	0.000	1.000	0.000
rs4925166 lBF = `0.164964` Chr`17` : `18,210,810`	0.000	1.000	0.000
rs7224488 lBF = `0.13188` Chr`17` : `54,868,625`	0.000	1.000	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs3816995 lBF = `0.0613038` Chr`17` : `71,335,260`	0.000	1.000	0.000
rs12051723 lBF = `0.048562` Chr`17` : `78,324,259`	0.000	1.000	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	1.000	0.000
rs7503953 lBF = `-0.00427826` Chr`17` : `6,141,677`	0.000	1.000	0.000
rs6504909 lBF = `-0.00947766` Chr`17` : `52,548,125`	0.000	1.000	0.000
rs7209435 lBF = `-0.0111395` Chr`17` : `61,712,964`	0.000	1.000	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs2075555 lBF = `-0.0425031` Chr`17` : `48,274,291`	0.000	1.000	0.000
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	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 X0292

log Bayes Factor = 11.0442

contains 1 variants

0.5966

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1673

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1107

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.9999

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9990

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9951

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9872

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9818

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9813

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9781

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9744

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9739

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9624

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9582

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9365

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9109

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9085

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8856

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8658

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8486

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8297

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8265

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8201

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8184

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8160

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8133

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7789

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7683

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7420

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7415

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7131

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7037

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6447

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.5925

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5915

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5836

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5521

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5201

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4655

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4374

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3955

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3649

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3184

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3104

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2999

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2634

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2544

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2203

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2190

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1979

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1928

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1914

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1686

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1595

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1472

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1384

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1358

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1144

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0843

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0840

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0726

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0706

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0615

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0611

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0567

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0542

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0533

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0513

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`)