TreeWAS – [K82.2] Perforation of gallbladder

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
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.670	0.330	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.633	0.367	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.611	0.389	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.578	0.422	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.574	0.426	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.562	0.438	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.550	0.450	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.547	0.453	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.524	0.475	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.523	0.477	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.514	0.485	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.511	0.489	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.497	0.503	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.492	0.508	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.468	0.532	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.454	0.546	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.430	0.569	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.413	0.587	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.397	0.603	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.378	0.622	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.358	0.641	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.350	0.650	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.349	0.651	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.342	0.657	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.340	0.660	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.334	0.666	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.327	0.673	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.313	0.687	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.287	0.712	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.285	0.715	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.284	0.716	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.278	0.722	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.276	0.723	0.001
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.257	0.742	0.001
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.256	0.744	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.246	0.754	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.238	0.762	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.219	0.781	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.214	0.786	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.201	0.798	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.184	0.815	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.170	0.830	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.168	0.831	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.161	0.839	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.160	0.840	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.156	0.844	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.145	0.855	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.143	0.857	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.134	0.866	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.134	0.866	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.130	0.869	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.121	0.879	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.104	0.896	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.101	0.899	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.098	0.902	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.089	0.909	0.002
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.088	0.912	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.086	0.914	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.086	0.914	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.082	0.917	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.080	0.919	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.070	0.930	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.067	0.933	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.054	0.945	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.053	0.947	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.051	0.949	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.045	0.955	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.044	0.956	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.037	0.963	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.032	0.968	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.027	0.973	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.027	0.973	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.026	0.974	0.000
rs2079795 lBF = `0.106328` Chr`17` : `59,496,649`	0.026	0.974	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.023	0.976	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	0.977	0.023
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.023	0.977	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.022	0.978	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.021	0.979	0.000
rs757608 lBF = `0.246952` Chr`17` : `59,497,277`	0.020	0.980	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.019	0.981	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.019	0.981	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.017	0.983	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.015	0.985	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.000	0.986	0.014
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.013	0.986	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.013	0.987	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.012	0.987	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.991	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.009	0.991	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.009	0.991	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.008	0.991	0.001
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.008	0.992	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.993	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.006	0.994	0.001
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.006	0.994	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.994	0.005
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.994	0.005
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.005	0.995	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.005	0.995	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.004	0.995	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.004	0.996	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.003	0.996	0.001
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.004	0.996	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.004	0.996	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.004	0.996	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.004	0.996	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.004	0.996	0.000
rs718073 lBF = `-0.0274968` Chr`17` : `70,584,265`	0.000	0.996	0.004
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.003	0.996	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.000	0.996	0.003
rs2240736 lBF = `0.147927` Chr`17` : `59,485,393`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs2302190 lBF = `-0.0522082` Chr`17` : `56,584,508`	0.000	0.997	0.003
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.003	0.997	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.002	0.997	0.001
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.003	0.997	0.000
rs8068318 lBF = `0.144792` Chr`17` : `59,483,766`	0.003	0.997	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.003	0.997	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.003	0.997	0.000
rs7503953 lBF = `-0.00427826` Chr`17` : `6,141,677`	0.002	0.998	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.002	0.998	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.000	0.998	0.002
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.002	0.998	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.002	0.998	0.000
rs8074751 lBF = `-0.0660515` Chr`17` : `63,642,542`	0.002	0.998	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.001	0.998	0.001
rs2017854 lBF = `-0.103445` Chr`17` : `65,488,021`	0.000	0.998	0.002
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.002	0.998	0.000
rs623323 lBF = `-0.0439502` Chr`17` : `700,020`	0.000	0.998	0.002
rs2084881 lBF = `0.376223` Chr`17` : `46,357,120`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs2567519 lBF = `-0.0475196` Chr`17` : `70,788,406`	0.000	0.998	0.002
rs11079764 lBF = `-0.067193` Chr`17` : `45,309,693`	0.002	0.998	0.000
rs1380181 lBF = `-0.0707018` Chr`17` : `15,193,056`	0.001	0.998	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.001	0.998	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.001	0.998	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.000	0.998	0.001
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.001	0.998	0.001
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.001	0.998	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.000	0.998	0.001
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.001	0.999	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.001	0.999	0.000
rs8067235 lBF = `-0.00822143` Chr`17` : `79,024,637`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.001	0.999	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.001	0.999	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.001	0.999	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.000	0.999	0.001
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.001	0.999	0.001
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.001	0.999	0.000
rs11867479 lBF = `-0.0010545` Chr`17` : `68,090,207`	0.001	0.999	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.001	0.999	0.000
rs9905704 lBF = `0.685603` Chr`17` : `56,632,543`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs9910816 lBF = `-0.00214457` Chr`17` : `66,344,703`	0.000	0.999	0.001
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.001	0.999	0.000
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
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
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
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
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.001	0.999	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.001	0.999	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.001	0.999	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.000	0.999	0.001
rs1994884 lBF = `5.45058` Chr`17` : `2,084,008`	0.000	0.999	0.001
rs3110643 lBF = `0.00604654` Chr`17` : `36,073,492`	0.001	0.999	0.000
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.001	0.999	0.000
rs2070776 lBF = `-0.0513655` Chr`17` : `62,007,498`	0.000	0.999	0.001
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.001	0.999	0.000
rs9907309 lBF = `0.581202` Chr`17` : `14,938,944`	0.001	0.999	0.000
rs6503319 lBF = `-0.0705758` Chr`17` : `10,574,159`	0.001	0.999	0.000
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rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs1549519 lBF = `-0.0354373` Chr`17` : `53,757,787`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	1.000	0.000
rs820218 lBF = `-0.0511756` Chr`17` : `73,687,495`	0.000	1.000	0.000
rs763512 lBF = `-0.0593166` Chr`17` : `35,889,531`	0.000	1.000	0.000
rs11871847 lBF = `-0.078445` Chr`17` : `69,281,766`	0.000	1.000	0.000
rs12449568 lBF = `-0.110223` Chr`17` : `54,430,155`	0.000	1.000	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.000	1.000	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.000	1.000	0.000
rs199501 lBF = `6.03665` Chr`17` : `44,862,613`	0.000	1.000	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.000	1.000	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.000	1.000	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	1.000	0.000
rs916888 lBF = `2.00376` Chr`17` : `44,863,133`	0.000	1.000	0.000
rs3764419 lBF = `0.993552` Chr`17` : `29,164,023`	0.000	1.000	0.000
rs11655550 lBF = `0.0523183` Chr`17` : `37,610,123`	0.000	1.000	0.000
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs8076457 lBF = `-0.0365304` Chr`17` : `8,943,929`	0.000	1.000	0.000
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs4646404 lBF = `-0.0761786` Chr`17` : `17,420,199`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs4640244 lBF = `0.109956` Chr`17` : `21,284,223`	0.000	1.000	0.000
rs12946454 lBF = `0.0866074` Chr`17` : `43,208,121`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs12051723 lBF = `0.048562` Chr`17` : `78,324,259`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs1870584 lBF = `0.027536` Chr`17` : `12,047,544`	0.000	1.000	0.000
rs2320952 lBF = `0.0109096` Chr`17` : `10,466,474`	0.000	1.000	0.000
rs11870068 lBF = `0.00034915` Chr`17` : `65,944,515`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	1.000	0.000
rs447921 lBF = `-0.0232117` Chr`17` : `74,414,559`	0.000	1.000	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.000	1.000	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	1.000	0.000
rs2075555 lBF = `-0.0425031` Chr`17` : `48,274,291`	0.000	1.000	0.000
rs12449964 lBF = `-0.0610517` Chr`17` : `17,544,704`	0.000	1.000	0.000
rs12936587 lBF = `-0.0793414` Chr`17` : `17,543,722`	0.000	1.000	0.000
rs12453935 lBF = `-0.0882798` Chr`17` : `59,897,455`	0.000	1.000	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.000	1.000	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	1.000	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	1.000	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.000	1.000	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs7212938 lBF = `5.09178` Chr`17` : `38,122,680`	0.000	1.000	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	1.000	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	0.000	1.000	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	1.000	0.000
rs7216064 lBF = `0.00201617` Chr`17` : `65,898,809`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	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
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.000	1.000	0.000
rs6503905 lBF = `-0.0482082` Chr`17` : `57,287,454`	0.000	1.000	0.000
rs8072599 lBF = `-0.0594913` Chr`17` : `80,242,123`	0.000	1.000	0.000
rs17533156 lBF = `-0.0608042` Chr`17` : `75,114,705`	0.000	1.000	0.000
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.000	1.000	0.000
rs62064224 lBF = `-0.115641` Chr`17` : `30,635,115`	0.000	1.000	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	1.000	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.000	1.000	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	1.000	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.000	1.000	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.000	1.000	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.000	1.000	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	1.000	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	1.000	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.000	1.000	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.000	1.000	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.000	1.000	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.000	1.000	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	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

0.9880

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.8735

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.5957

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9607

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9329

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9263

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9200

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9129

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9028

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8851

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8734

Cluster X0245

log Bayes Factor = 256.009

contains 7 variants

0.8674

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8248

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8239

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8173

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8147

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8092

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8034

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8028

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7963

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7925

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7904

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7871

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7815

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7496

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7406

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7285

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7165

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7153

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7107

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7072

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7021

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6996

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6928

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6859

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6846

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6836

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6825

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6667

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6493

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6459

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6418

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6284

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6241

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6212

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6187

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6161

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6154

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6141

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6073

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6047

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5921

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5886

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5738

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5729

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5686

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5682

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5622

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5596

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5521

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5400

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5357

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5337

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5337

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.5073

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4755

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4742

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4734

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4699

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4620

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4566

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4553

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4516

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4384

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4377

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4332

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4307

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4251

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4208

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4140

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4130

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4011

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3746

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3713

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3671

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3662

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3541

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3541

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3534

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3444

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3439

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3431

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3390

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3378

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3369

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3234

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3105

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2814

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2691

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2526

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2452

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2301

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2278

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2237

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2114

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2095

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2087

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2034

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2026

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1927

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1921

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1830

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1758

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1716

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1525

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1485

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1367

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1309

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1252

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1246

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1197

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1082

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0918

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0907

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0701

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0607

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0607

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0536

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`)