TreeWAS – [K80.4] Calculus of bile duct with cholecystitis

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
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.750	0.250	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.725	0.275	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.697	0.302	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.692	0.308	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.684	0.316	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.660	0.340	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.639	0.361	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.630	0.370	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.610	0.389	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.570	0.430	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.534	0.466	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.515	0.484	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.440	0.560	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.413	0.587	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.373	0.627	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.370	0.630	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.347	0.653	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.329	0.670	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.329	0.671	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.288	0.712	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.275	0.725	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.273	0.726	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.271	0.729	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.266	0.733	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.241	0.759	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.222	0.778	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.198	0.802	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.176	0.823	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.154	0.846	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.153	0.847	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.129	0.871	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.128	0.871	0.001
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.120	0.880	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.115	0.885	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.112	0.888	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.106	0.894	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.106	0.894	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.100	0.899	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.097	0.902	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.084	0.916	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.080	0.919	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.074	0.925	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.074	0.926	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.071	0.928	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.066	0.934	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.064	0.935	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.062	0.937	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.053	0.947	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.052	0.948	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.052	0.948	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.038	0.961	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.036	0.964	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.034	0.965	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.033	0.966	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.033	0.966	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.033	0.967	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.030	0.970	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.028	0.971	0.001
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.027	0.973	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.026	0.973	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.025	0.975	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.025	0.975	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.000	0.975	0.025
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.024	0.976	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.024	0.976	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.024	0.976	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.023	0.976	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.022	0.978	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.018	0.981	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.018	0.982	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.014	0.986	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.011	0.989	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.010	0.990	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.010	0.990	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.010	0.990	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.991	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.009	0.991	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.991	0.009
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.008	0.991	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.007	0.992	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.000	0.994	0.006
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.006	0.994	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.006	0.994	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.994	0.006
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.006	0.994	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.005	0.994	0.001
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.005	0.995	0.000
rs1316453 lBF = `0.222152` Chr`17` : `77,410,859`	0.000	0.995	0.005
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.005	0.995	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.004	0.995	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.004	0.996	0.000
rs8079702 lBF = `-0.0689908` Chr`17` : `68,190,826`	0.004	0.996	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.003	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.003	0.997	0.001
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.997	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.003	0.997	0.000
rs9908552 lBF = `-0.0485673` Chr`17` : `1,297,991`	0.000	0.997	0.003
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.003	0.997	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.003	0.997	0.000
rs8080944 lBF = `-0.0663744` Chr`17` : `68,185,586`	0.003	0.997	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	0.998	0.002
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.002	0.998	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.000	0.998	0.002
rs11079757 lBF = `-0.0562497` Chr`17` : `45,195,850`	0.000	0.998	0.002
rs8077889 lBF = `-0.0167242` Chr`17` : `41,878,166`	0.000	0.998	0.002
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.000	0.998	0.002
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.002	0.998	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.002	0.998	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.002	0.998	0.000
rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs17808461 lBF = `-0.0751725` Chr`17` : `31,393,702`	0.002	0.998	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.002	0.998	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.000	0.998	0.002
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.000	0.998	0.002
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.001	0.999	0.000
rs2840044 lBF = `0.763699` Chr`17` : `33,892,068`	0.000	0.999	0.001
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs172642 lBF = `-0.00000294` Chr`17` : `6,595,398`	0.001	0.999	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs1055129 lBF = `-0.0920539` Chr`17` : `73,872,948`	0.000	0.999	0.001
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.001	0.999	0.000
rs9900205 lBF = `-0.0886445` Chr`17` : `64,715,108`	0.000	0.999	0.001
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.001	0.999	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs227724 lBF = `-0.0418164` Chr`17` : `54,778,817`	0.000	0.999	0.001
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs116885154 lBF = `-0.00001053` Chr`17` : `71,784,375`	0.001	0.999	0.000
rs12453524 lBF = `-0.00003894` Chr`17` : `66,575,117`	0.000	0.999	0.001
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.001	0.999	0.000
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs9635759 lBF = `-0.0807129` Chr`17` : `49,613,785`	0.001	0.999	0.000
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.001	0.999	0.000
rs7211079 lBF = `-0.0664865` Chr`17` : `78,107,537`	0.001	0.999	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.001	0.999	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.000	0.999	0.001
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.000	0.999	0.001
rs7210837 lBF = `-0.0787942` Chr`17` : `16,764,978`	0.000	0.999	0.001
rs11653011 lBF = `-0.00273923` Chr`17` : `53,519,844`	0.000	0.999	0.001
rs6565653 lBF = `-0.0892474` Chr`17` : `78,201,783`	0.001	0.999	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.001	0.999	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.000	0.999	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.001	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.001
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.001	0.999	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.001	0.999	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.001	0.999	0.000
rs6565597 lBF = `4.34152` Chr`17` : `79,526,821`	0.000	0.999	0.001
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.000	0.999	0.001
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.001	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.000	0.999	0.000
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.001	0.999	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.001	0.999	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.000	0.999	0.000
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.000	0.999	0.001
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.001	0.999	0.000
rs4792814 lBF = `0.168162` Chr`17` : `43,403,005`	0.001	0.999	0.000
rs2302190 lBF = `-0.0522082` Chr`17` : `56,584,508`	0.000	0.999	0.001
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.000	0.999	0.001
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.001	0.999	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.001	0.999	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.999	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	0.999	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.000	0.999	0.001
rs1015657 lBF = `-0.0665226` Chr`17` : `68,878,487`	0.000	0.999	0.001
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.999	0.001
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	0.999	0.001
rs7220711 lBF = `0.388513` Chr`17` : `41,789,965`	0.000	0.999	0.001
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.000	0.999	0.001
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rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	1.000	0.000
rs3744790 lBF = `-0.0514657` Chr`17` : `76,893,135`	0.000	1.000	0.000
rs959260 lBF = `-0.0625843` Chr`17` : `73,369,422`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs3091316 lBF = `-0.0699381` Chr`17` : `32,593,974`	0.000	1.000	0.000
rs12450239 lBF = `-0.0953541` Chr`17` : `77,449,095`	0.000	1.000	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.000	1.000	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	1.000	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.000	1.000	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	1.000	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.000	1.000	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.000	1.000	0.000
rs11657044 lBF = `0.832578` Chr`17` : `59,450,105`	0.000	1.000	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.000	1.000	0.000
rs9906944 lBF = `0.452828` Chr`17` : `47,091,420`	0.000	1.000	0.000
rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs4924935 lBF = `0.131716` Chr`17` : `18,753,870`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	1.000	0.000
rs7206961 lBF = `0.0336412` Chr`17` : `72,042,520`	0.000	1.000	0.000
rs7219014 lBF = `0.0314524` Chr`17` : `37,624,790`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs7226229 lBF = `0.0088149` Chr`17` : `20,924,077`	0.000	1.000	0.000
rs3110643 lBF = `0.00604654` Chr`17` : `36,073,492`	0.000	1.000	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	1.000	0.000
rs2006933 lBF = `-0.0142823` Chr`17` : `26,601,133`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.000	1.000	0.000
rs447921 lBF = `-0.0232117` Chr`17` : `74,414,559`	0.000	1.000	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.000	1.000	0.000
rs12940030 lBF = `-0.0589294` Chr`17` : `14,561,016`	0.000	1.000	0.000
rs763512 lBF = `-0.0593166` Chr`17` : `35,889,531`	0.000	1.000	0.000
rs11079321 lBF = `-0.0609623` Chr`17` : `55,747,416`	0.000	1.000	0.000
rs817565 lBF = `-0.0720185` Chr`17` : `67,432,385`	0.000	1.000	0.000
rs9896933 lBF = `-0.0757205` Chr`17` : `80,898,088`	0.000	1.000	0.000
rs12936587 lBF = `-0.0793414` Chr`17` : `17,543,722`	0.000	1.000	0.000
rs684232 lBF = `-0.0892809` Chr`17` : `618,965`	0.000	1.000	0.000
rs10775360 lBF = `-0.108353` Chr`17` : `68,325,868`	0.000	1.000	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.000	1.000	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	1.000	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.000	1.000	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	1.000	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.000	1.000	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	1.000	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.000	1.000	0.000
rs11655470 lBF = `1.92618` Chr`17` : `43,795,433`	0.000	1.000	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs227584 lBF = `0.397184` Chr`17` : `42,225,547`	0.000	1.000	0.000
rs2945412 lBF = `0.200736` Chr`17` : `25,843,643`	0.000	1.000	0.000
rs7224488 lBF = `0.13188` Chr`17` : `54,868,625`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs4986044 lBF = `0.0407517` Chr`17` : `21,261,560`	0.000	1.000	0.000
rs11654964 lBF = `0.0223935` Chr`17` : `32,989,538`	0.000	1.000	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	1.000	0.000
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.000	1.000	0.000
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	1.000	0.000
rs7215990 lBF = `-0.0278399` Chr`17` : `6,034,831`	0.000	1.000	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.000	1.000	0.000
rs730547 lBF = `-0.0350368` Chr`17` : `33,112,106`	0.000	1.000	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	1.000	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	1.000	0.000
rs7220048 lBF = `-0.048725` Chr`17` : `79,118,573`	0.000	1.000	0.000
rs3091315 lBF = `-0.0705817` Chr`17` : `32,593,665`	0.000	1.000	0.000
rs2279913 lBF = `-0.0836422` Chr`17` : `79,168,268`	0.000	1.000	0.000
rs2190547 lBF = `-0.105046` Chr`17` : `68,929,435`	0.000	1.000	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.000	1.000	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.000	1.000	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.000	1.000	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.000	1.000	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs11871801 lBF = `0.931073` Chr`17` : `40,570,772`	0.000	1.000	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.000	1.000	0.000
rs4065321 lBF = `0.345045` Chr`17` : `38,143,548`	0.000	1.000	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	1.000	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	1.000	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	1.000	0.000
rs10521232 lBF = `0.0694156` Chr`17` : `13,539,804`	0.000	1.000	0.000
rs11655550 lBF = `0.0523183` Chr`17` : `37,610,123`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	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
rs9916302 lBF = `0.025262` Chr`17` : `37,499,949`	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 X0198

log Bayes Factor = 97.078

contains 5 variants

0.9955

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.9864

Cluster X0187

log Bayes Factor = 30.7009

contains 1 variants

0.6771

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.3836

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0601

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.9996

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9922

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9821

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9666

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9621

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9620

Cluster X0245

log Bayes Factor = 256.009

contains 7 variants

0.9492

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9295

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9270

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9117

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9050

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8889

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8499

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8453

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8194

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8141

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7863

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7790

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6581

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.6455

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6360

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6092

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6042

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5993

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5736

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5623

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4964

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4930

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4473

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4052

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3035

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2865

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2711

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2196

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2075

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1845

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1666

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1551

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1550

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1549

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1449

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1354

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1342

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1261

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1226

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1172

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1147

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0901

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0873

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0850

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0727

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0689

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0638

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0622

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0620

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0607

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0599

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0542

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0526

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0511

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`)