TreeWAS – [C15.5] Lower third of oesophagus

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
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.882	0.118	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.801	0.199	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.755	0.245	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.751	0.249	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	0.270	0.730
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.722	0.278	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.694	0.306	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.691	0.309	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.684	0.316	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.660	0.340	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.650	0.350	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.637	0.363	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.619	0.381	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.590	0.410	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.576	0.424	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.540	0.459	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.538	0.462	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.526	0.474	0.000
rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	0.000	0.479	0.521
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.502	0.498	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.491	0.509	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.490	0.510	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.479	0.521	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.473	0.527	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.455	0.545	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.452	0.548	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.449	0.551	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.448	0.552	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.448	0.552	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.448	0.552	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.443	0.557	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.417	0.583	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.415	0.585	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.405	0.595	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.404	0.596	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.385	0.615	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.382	0.618	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.379	0.621	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.355	0.645	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.353	0.647	0.000
rs2945412 lBF = `0.200736` Chr`17` : `25,843,643`	0.000	0.650	0.350
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.345	0.655	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.343	0.657	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.340	0.660	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.325	0.675	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.316	0.684	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.314	0.686	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.306	0.694	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.303	0.696	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.289	0.711	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.287	0.713	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.287	0.713	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.284	0.715	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.273	0.727	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.272	0.728	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.265	0.735	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.261	0.738	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.261	0.738	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.256	0.743	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.247	0.753	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.240	0.760	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.240	0.760	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.238	0.762	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.231	0.769	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.224	0.776	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.208	0.792	0.000
rs12602901 lBF = `0.123649` Chr`17` : `4,824,625`	0.204	0.796	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.202	0.798	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.192	0.808	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.187	0.813	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.181	0.819	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.178	0.822	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.174	0.825	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.172	0.828	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.171	0.829	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.166	0.834	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.147	0.853	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.123	0.877	0.001
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.114	0.886	0.000
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.113	0.887	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.108	0.892	0.001
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.100	0.894	0.006
rs11653176 lBF = `0.012337` Chr`17` : `59,447,369`	0.104	0.896	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.101	0.899	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.098	0.901	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.097	0.903	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.097	0.903	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.095	0.905	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.094	0.906	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.091	0.908	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.091	0.908	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.081	0.918	0.001
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.076	0.923	0.001
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.070	0.930	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.066	0.934	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.001	0.938	0.061
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.058	0.942	0.001
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.054	0.946	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.051	0.948	0.000
rs216205 lBF = `0.627465` Chr`17` : `2,196,150`	0.000	0.951	0.049
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.047	0.952	0.001
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.048	0.952	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.047	0.952	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.047	0.953	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.046	0.953	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.044	0.954	0.002
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.044	0.955	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.043	0.957	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.042	0.957	0.001
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.043	0.957	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.038	0.962	0.000
rs11657044 lBF = `0.832578` Chr`17` : `59,450,105`	0.037	0.963	0.000
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.031	0.969	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.031	0.969	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.005	0.971	0.024
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.027	0.972	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.026	0.973	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.026	0.974	0.000
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.025	0.975	0.000
rs9303401 lBF = `-0.0139074` Chr`17` : `56,847,945`	0.023	0.977	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.023	0.977	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.019	0.978	0.002
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.020	0.979	0.001
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.020	0.980	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.020	0.980	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.020	0.980	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.019	0.980	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.018	0.981	0.000
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	0.017	0.983	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.017	0.983	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.016	0.983	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.016	0.984	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.010	0.985	0.004
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.014	0.986	0.000
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.000	0.986	0.014
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.013	0.987	0.000
rs8081264 lBF = `7.94459` Chr`17` : `7,235,316`	0.012	0.988	0.000
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.000	0.989	0.011
rs2084881 lBF = `0.376223` Chr`17` : `46,357,120`	0.000	0.989	0.011
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.010	0.989	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.010	0.990	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.003	0.991	0.006
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.008	0.991	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.008	0.992	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.008	0.992	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.008	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	0.993	0.007
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.993	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.007	0.993	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.006	0.994	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.000	0.994	0.005
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.005	0.995	0.000
rs6503659 lBF = `0.271348` Chr`17` : `39,897,264`	0.005	0.995	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.005	0.995	0.000
rs391300 lBF = `1.03278` Chr`17` : `2,216,258`	0.000	0.995	0.005
rs11649743 lBF = `1.66786` Chr`17` : `36,074,979`	0.000	0.995	0.005
rs4987082 lBF = `9.49246` Chr`17` : `47,481,374`	0.004	0.996	0.000
rs7224488 lBF = `0.13188` Chr`17` : `54,868,625`	0.000	0.996	0.004
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.004	0.996	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	0.996	0.004
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.004	0.996	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.004	0.996	0.000
rs4523957 lBF = `1.52831` Chr`17` : `2,208,899`	0.000	0.996	0.004
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	0.996	0.004
rs9910816 lBF = `-0.00214457` Chr`17` : `66,344,703`	0.000	0.996	0.004
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.000	0.997	0.003
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.997	0.000
rs4006360 lBF = `0.00360154` Chr`17` : `39,250,639`	0.000	0.997	0.003
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	0.997	0.003
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs11867934 lBF = `0.0230859` Chr`17` : `16,933,404`	0.000	0.997	0.003
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.002	0.997	0.001
rs9303521 lBF = `1.38622` Chr`17` : `43,805,194`	0.003	0.997	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.003	0.997	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.002	0.997	0.001
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.002	0.998	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.002	0.998	0.000
rs1107748 lBF = `-0.0292036` Chr`17` : `41,773,814`	0.000	0.998	0.002
rs8080944 lBF = `-0.0663744` Chr`17` : `68,185,586`	0.000	0.998	0.002
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.002	0.998	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.002	0.998	0.000
rs3027234 lBF = `-0.0637675` Chr`17` : `8,136,092`	0.000	0.998	0.002
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.002	0.998	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	0.998	0.002
rs2079742 lBF = `0.0444277` Chr`17` : `59,465,697`	0.000	0.998	0.002
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	0.998	0.002
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.002	0.998	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.002	0.998	0.000
rs320637 lBF = `-0.0934327` Chr`17` : `31,665,328`	0.002	0.998	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.001	0.998	0.000
rs1019238 lBF = `-0.0923717` Chr`17` : `54,278,715`	0.002	0.998	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.002	0.998	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.001	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.002	0.998	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.998	0.002
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.001	0.998	0.000
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rs7225151 lBF = `-0.0513115` Chr`17` : `5,137,047`	0.000	1.000	0.000
rs17780256 lBF = `-0.0818525` Chr`17` : `70,642,923`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	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
rs10445407 lBF = `-0.083493` Chr`17` : `79,261,809`	0.000	1.000	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.000	1.000	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	1.000	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	1.000	0.000
rs4646404 lBF = `-0.0761786` Chr`17` : `17,420,199`	0.000	1.000	0.000
rs4789693 lBF = `-0.0811928` Chr`17` : `80,421,870`	0.000	1.000	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs11870068 lBF = `0.00034915` Chr`17` : `65,944,515`	0.000	1.000	0.000
rs35219335 lBF = `-0.0135019` Chr`17` : `10,077,836`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs12601358 lBF = `-0.0774552` Chr`17` : `11,094,177`	0.000	1.000	0.000
rs1354492 lBF = `-0.0878239` Chr`17` : `31,737,421`	0.000	1.000	0.000
rs1046875 lBF = `-0.0895966` Chr`17` : `80,685,426`	0.000	1.000	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	1.000	0.000
rs6504108 lBF = `-0.00134096` Chr`17` : `46,292,923`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs2378870 lBF = `-0.0356024` Chr`17` : `59,638,623`	0.000	1.000	0.000
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.000	1.000	0.000
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs17761864 lBF = `0.0184136` Chr`17` : `2,171,637`	0.000	1.000	0.000
rs7224314 lBF = `0.00627329` Chr`17` : `65,386,214`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs1396515 lBF = `-0.00082143` Chr`17` : `68,430,993`	0.000	1.000	0.000
rs8072599 lBF = `-0.0594913` Chr`17` : `80,242,123`	0.000	1.000	0.000
rs9891572 lBF = `-0.0887405` Chr`17` : `2,428,508`	0.000	1.000	0.000
rs1046896 lBF = `-0.091256` Chr`17` : `80,685,533`	0.000	1.000	0.000
rs3853824 lBF = `-0.0933912` Chr`17` : `54,880,993`	0.000	1.000	0.000
rs1231206 lBF = `2.89602` Chr`17` : `2,125,605`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs9912468 lBF = `-0.0734971` Chr`17` : `64,318,357`	0.000	1.000	0.000
rs11654699 lBF = `-0.124536` Chr`17` : `30,903,310`	0.000	1.000	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	1.000	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.000	1.000	0.000
rs2908972 lBF = `0.401177` Chr`17` : `11,407,259`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs9299 lBF = `0.0624181` Chr`17` : `46,669,430`	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
rs312691 lBF = `-0.00062114` Chr`17` : `68,326,338`	0.000	1.000	0.000
rs3764400 lBF = `-0.0214903` Chr`17` : `46,123,932`	0.000	1.000	0.000
rs3027247 lBF = `-0.0497048` Chr`17` : `8,130,867`	0.000	1.000	0.000
rs758642 lBF = `-0.0545184` Chr`17` : `3,786,907`	0.000	1.000	0.000
rs3110496 lBF = `1.23808` Chr`17` : `27,917,771`	0.000	1.000	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	1.000	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	1.000	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	1.000	0.000
rs6501384 lBF = `-0.0418682` Chr`17` : `68,291,133`	0.000	1.000	0.000
rs2075555 lBF = `-0.0425031` Chr`17` : `48,274,291`	0.000	1.000	0.000
rs3794742 lBF = `-0.0439897` Chr`17` : `76,165,548`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs62064224 lBF = `-0.115641` Chr`17` : `30,635,115`	0.000	1.000	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	1.000	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.000	1.000	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.000	1.000	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.000	1.000	0.000
rs1994884 lBF = `5.45058` Chr`17` : `2,084,008`	0.000	1.000	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.000	1.000	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.000	1.000	0.000
rs9914266 lBF = `3.07775` Chr`17` : `2,133,250`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	1.000	0.000
rs227724 lBF = `-0.0418164` Chr`17` : `54,778,817`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs17645023 lBF = `-0.0505989` Chr`17` : `64,917,033`	0.000	1.000	0.000
rs8067545 lBF = `-0.0580308` Chr`17` : `19,912,710`	0.000	1.000	0.000
rs9892651 lBF = `-0.0651436` Chr`17` : `64,303,793`	0.000	1.000	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	1.000	0.000
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.000	1.000	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.000	1.000	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	1.000	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	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 X0027

log Bayes Factor = 25.8087

contains 2 variants

0.7542

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6513

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3195

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2320

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9998

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9994

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9980

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9964

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9941

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9929

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9834

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9807

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9777

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9694

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9672

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9541

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9535

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9494

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9424

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9414

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9348

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9197

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9183

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9048

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8990

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8949

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8688

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8480

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8338

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8241

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8151

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8059

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8043

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7989

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7740

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7435

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7433

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7401

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7369

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7361

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7186

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6881

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6786

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6759

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6677

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6605

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6600

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6547

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6203

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6105

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5978

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5911

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5899

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5694

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5591

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5568

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5517

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5481

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5351

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5246

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5197

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.5133

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5115

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4947

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4891

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4828

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4820

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4506

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4492

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4313

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4309

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4284

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4278

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4262

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4240

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4129

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3980

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3828

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3782

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3703

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3336

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3273

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3149

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3101

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3022

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3004

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2988

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2778

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2749

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2749

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2588

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2390

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2378

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2181

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1977

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1959

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1944

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1863

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1786

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.1768

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1640

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1518

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1311

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1310

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1165

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.1157

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1103

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1098

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1054

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1026

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0978

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0974

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0955

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0939

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0928

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0927

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0893

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0832

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0825

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0790

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0767

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0761

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0699

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0651

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0643

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0631

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0599

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0574

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0564

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0559

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0556

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0548

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0546

Cluster X0249

log Bayes Factor = 244.457

contains 11 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`)