TreeWAS – [Y84.0] Cardiac catheterisation

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
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.695	0.305	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.673	0.327	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.654	0.346	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.628	0.372	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.627	0.373	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.608	0.392	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.603	0.397	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.568	0.432	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.565	0.435	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.556	0.444	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.555	0.445	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.553	0.447	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.530	0.470	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.494	0.506	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.492	0.508	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.457	0.543	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.451	0.549	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.418	0.582	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.410	0.590	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.391	0.609	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.374	0.626	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.365	0.635	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.362	0.638	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.360	0.640	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.356	0.644	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.354	0.645	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.342	0.658	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.335	0.665	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.319	0.681	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.315	0.685	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.308	0.692	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.305	0.695	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.303	0.696	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.298	0.702	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.289	0.711	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.278	0.722	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.271	0.729	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.270	0.729	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.269	0.731	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.268	0.731	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.265	0.735	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.259	0.741	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.253	0.747	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.252	0.748	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.248	0.752	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.248	0.752	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.243	0.757	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.241	0.759	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.239	0.761	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.238	0.762	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.236	0.764	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.234	0.766	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.229	0.771	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.229	0.771	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.227	0.773	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.227	0.773	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.226	0.774	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.225	0.775	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.224	0.776	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.215	0.785	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.211	0.788	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.211	0.789	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.211	0.789	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.211	0.789	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.209	0.791	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.208	0.792	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.207	0.792	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.202	0.798	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.201	0.798	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.194	0.806	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.192	0.808	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.190	0.809	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.188	0.812	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.187	0.813	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.185	0.813	0.001
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.183	0.817	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.182	0.818	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.178	0.822	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.168	0.831	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.167	0.832	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.164	0.836	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.162	0.838	0.001
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.161	0.839	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.157	0.843	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.156	0.844	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.144	0.855	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.141	0.859	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.140	0.860	0.001
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.140	0.860	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.135	0.865	0.001
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.132	0.868	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.130	0.870	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.119	0.881	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.116	0.884	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.113	0.887	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.111	0.889	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.109	0.891	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.100	0.900	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.098	0.901	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.099	0.901	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.095	0.905	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.093	0.907	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.090	0.909	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.087	0.913	0.001
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.086	0.914	0.001
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.085	0.914	0.001
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.085	0.915	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.082	0.918	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.079	0.921	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.078	0.922	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.074	0.926	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.070	0.929	0.001
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.070	0.929	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.069	0.931	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.068	0.932	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.066	0.933	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.064	0.935	0.001
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.065	0.935	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.064	0.936	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	0.937	0.063
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.059	0.941	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.055	0.944	0.001
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.056	0.944	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.055	0.944	0.001
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.055	0.945	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.049	0.951	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.044	0.956	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.042	0.958	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.041	0.958	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.040	0.960	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.040	0.960	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.040	0.960	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.039	0.960	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.039	0.961	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.037	0.963	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.035	0.964	0.001
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.035	0.964	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.035	0.965	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.034	0.965	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.034	0.966	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.031	0.969	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.030	0.969	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.030	0.970	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.029	0.970	0.001
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.025	0.975	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.024	0.975	0.000
rs220470 lBF = `0.0547558` Chr`17` : `3,664,975`	0.023	0.977	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.019	0.980	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.016	0.984	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.014	0.985	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.014	0.986	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.013	0.987	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.012	0.988	0.000
rs2019872 lBF = `0.117668` Chr`17` : `2,010,318`	0.010	0.990	0.000
rs623323 lBF = `-0.0439502` Chr`17` : `700,020`	0.009	0.991	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.008	0.991	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.993	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.007	0.993	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.007	0.993	0.000
rs12450239 lBF = `-0.0953541` Chr`17` : `77,449,095`	0.000	0.994	0.006
rs8073783 lBF = `-0.0163119` Chr`17` : `51,237,941`	0.005	0.995	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.005	0.995	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.004	0.996	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.004	0.996	0.000
rs17761864 lBF = `0.0184136` Chr`17` : `2,171,637`	0.000	0.996	0.004
rs17808461 lBF = `-0.0751725` Chr`17` : `31,393,702`	0.000	0.996	0.004
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.997	0.003
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs4617927 lBF = `0.0387266` Chr`17` : `53,356,126`	0.000	0.997	0.003
rs9894429 lBF = `0.0357377` Chr`17` : `79,596,811`	0.000	0.997	0.003
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.003	0.997	0.000
rs9910816 lBF = `-0.00214457` Chr`17` : `66,344,703`	0.002	0.998	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.002	0.998	0.000
rs3764400 lBF = `-0.0214903` Chr`17` : `46,123,932`	0.002	0.998	0.000
rs11867934 lBF = `0.0230859` Chr`17` : `16,933,404`	0.000	0.998	0.002
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.002	0.998	0.000
rs67050149 lBF = `6.33733` Chr`17` : `79,557,043`	0.002	0.998	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.998	0.002
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.002	0.998	0.000
rs907092 lBF = `10.6486` Chr`17` : `37,922,259`	0.002	0.998	0.000
rs9900205 lBF = `-0.0886445` Chr`17` : `64,715,108`	0.002	0.998	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.001	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs8067235 lBF = `-0.00822143` Chr`17` : `79,024,637`	0.002	0.998	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.001	0.998	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	0.998	0.002
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	0.998	0.002
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.000	0.998	0.002
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.001	0.998	0.000
rs172642 lBF = `-0.00000294` Chr`17` : `6,595,398`	0.002	0.998	0.000
rs3785574 lBF = `-0.0197042` Chr`17` : `61,763,185`	0.002	0.998	0.000
rs2840044 lBF = `0.763699` Chr`17` : `33,892,068`	0.000	0.999	0.001
rs1231206 lBF = `2.89602` Chr`17` : `2,125,605`	0.001	0.999	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.001	0.999	0.000
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.001	0.999	0.000
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.000	0.999	0.001
rs6504663 lBF = `-0.043126` Chr`17` : `48,591,209`	0.001	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
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rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	0.000	1.000	0.000
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.000	1.000	0.000
rs2074409 lBF = `0.184138` Chr`17` : `35,898,342`	0.000	1.000	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	1.000	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	1.000	0.000
rs7224610 lBF = `-0.0163906` Chr`17` : `53,364,788`	0.000	1.000	0.000
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.000	1.000	0.000
rs9898058 lBF = `-0.0471767` Chr`17` : `47,818,821`	0.000	1.000	0.000
rs2279913 lBF = `-0.0836422` Chr`17` : `79,168,268`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs2854207 lBF = `0.121574` Chr`17` : `61,947,107`	0.000	1.000	0.000
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.000	1.000	0.000
rs708382 lBF = `0.0582183` Chr`17` : `42,442,344`	0.000	1.000	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	1.000	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.000	1.000	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.000	1.000	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	0.000
rs6503782 lBF = `-0.115305` Chr`17` : `55,108,734`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs12449664 lBF = `-0.0585402` Chr`17` : `8,967,067`	0.000	1.000	0.000
rs7216389 lBF = `14.3028` Chr`17` : `38,069,949`	0.000	1.000	0.000
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	1.000	0.000
rs11658329 lBF = `-0.01479` Chr`17` : `61,763,031`	0.000	1.000	0.000
rs16956936 lBF = `-0.0329272` Chr`17` : `7,633,692`	0.000	1.000	0.000
rs17645023 lBF = `-0.0505989` Chr`17` : `64,917,033`	0.000	1.000	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	1.000	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs271674 lBF = `-0.0396692` Chr`17` : `47,978,986`	0.000	1.000	0.000
rs2293152 lBF = `-0.0506452` Chr`17` : `40,481,529`	0.000	1.000	0.000
rs17052344 lBF = `-0.0719989` Chr`17` : `21,717,543`	0.000	1.000	0.000
rs2017854 lBF = `-0.103445` Chr`17` : `65,488,021`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs9299 lBF = `0.0624181` Chr`17` : `46,669,430`	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
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.000	1.000	0.000
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.000	1.000	0.000
rs11079757 lBF = `-0.0562497` Chr`17` : `45,195,850`	0.000	1.000	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	1.000	0.000
rs6503905 lBF = `-0.0482082` Chr`17` : `57,287,454`	0.000	1.000	0.000
rs2302190 lBF = `-0.0522082` Chr`17` : `56,584,508`	0.000	1.000	0.000
rs2271316 lBF = `-0.0721074` Chr`17` : `6,915,401`	0.000	1.000	0.000
rs1401795 lBF = `-0.0743849` Chr`17` : `54,839,652`	0.000	1.000	0.000
rs9896933 lBF = `-0.0757205` Chr`17` : `80,898,088`	0.000	1.000	0.000
rs4794822 lBF = `1.70366` Chr`17` : `38,156,712`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.000	1.000	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	1.000	0.000
rs8068318 lBF = `0.144792` Chr`17` : `59,483,766`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	1.000	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs11656696 lBF = `5.98584` Chr`17` : `10,033,679`	0.000	1.000	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	1.000	0.000
rs8078723 lBF = `1.62102` Chr`17` : `38,166,879`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs9905704 lBF = `0.685603` Chr`17` : `56,632,543`	0.000	1.000	0.000
rs9896052 lBF = `0.251979` Chr`17` : `73,418,862`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	0.000	1.000	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	0.000	1.000	0.000
rs6504108 lBF = `-0.00134096` Chr`17` : `46,292,923`	0.000	1.000	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs35219335 lBF = `-0.0135019` Chr`17` : `10,077,836`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs227724 lBF = `-0.0418164` Chr`17` : `54,778,817`	0.000	1.000	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	1.000	0.000
rs11870935 lBF = `-0.0465656` Chr`17` : `45,732,605`	0.000	1.000	0.000
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7088

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1744

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.9726

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9691

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9571

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9521

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9498

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9402

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9321

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9301

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9218

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9188

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9062

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9043

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8841

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8821

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8653

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8526

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8327

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8312

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8275

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8218

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8199

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8179

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8145

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8108

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8055

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8005

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7721

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7571

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7511

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7460

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7382

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7361

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7306

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7180

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6793

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6497

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6103

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6021

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5974

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5966

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5948

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5935

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5804

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5735

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5639

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5576

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5474

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5440

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5390

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5173

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5010

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4965

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4945

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4916

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4859

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4773

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4748

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4657

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4480

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4384

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4220

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4043

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4008

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3972

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3951

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3935

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3931

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3928

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3914

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3739

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3614

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3600

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3595

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3511

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3502

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3415

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3357

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3250

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3206

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3151

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3144

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3143

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3128

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3112

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2731

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2723

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2659

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2626

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2608

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2584

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2578

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2561

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2480

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2379

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2358

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2345

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2320

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2318

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2249

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2233

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2205

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2172

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2023

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2016

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1919

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1912

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1888

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1878

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1863

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1842

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1669

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1651

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1617

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1609

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1566

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1461

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1433

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1317

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1221

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1145

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1133

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1017

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0998

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0982

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0944

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0908

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0886

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0879

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0873

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0815

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0804

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0771

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0743

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0710

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0694

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0649

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0616

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0601

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0584

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0534

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0529

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`)