TreeWAS – [K35.2] Acute appendicitis with generalized peritonitis

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
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.600	0.400	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.549	0.451	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.547	0.453	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.527	0.473	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.519	0.481	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.516	0.484	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.498	0.502	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.497	0.503	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.454	0.546	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.436	0.564	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.425	0.574	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.405	0.595	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.383	0.617	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.365	0.635	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.360	0.640	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.352	0.648	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.344	0.656	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.337	0.663	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.328	0.672	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.328	0.672	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.326	0.673	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.326	0.674	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.324	0.676	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.324	0.676	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.316	0.683	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.310	0.690	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.286	0.713	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.275	0.724	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.268	0.732	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.250	0.750	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.249	0.750	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.247	0.752	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.243	0.756	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.242	0.757	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.238	0.761	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.223	0.777	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.220	0.779	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.202	0.797	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.200	0.800	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.197	0.802	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.193	0.807	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.176	0.824	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.162	0.838	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.160	0.840	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.158	0.841	0.001
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.155	0.845	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.152	0.847	0.001
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.153	0.847	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.151	0.848	0.001
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.145	0.855	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.135	0.865	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.119	0.881	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.112	0.888	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.105	0.894	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.101	0.898	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.100	0.900	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.099	0.901	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.098	0.902	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.097	0.903	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.090	0.909	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.081	0.919	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.068	0.932	0.001
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.065	0.935	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.059	0.941	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.054	0.946	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.051	0.948	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.045	0.955	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.042	0.957	0.001
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.042	0.958	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.041	0.958	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.040	0.960	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.039	0.961	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.036	0.963	0.001
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.036	0.964	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.029	0.971	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.026	0.974	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.024	0.976	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.023	0.976	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.021	0.979	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.019	0.980	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.018	0.981	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.014	0.985	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.014	0.985	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.012	0.988	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.012	0.988	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.012	0.988	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.012	0.988	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.012	0.988	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.011	0.989	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.010	0.990	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.009	0.990	0.001
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.991	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.008	0.992	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.008	0.992	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.008	0.992	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.007	0.993	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.007	0.993	0.000
rs2060070 lBF = `-0.0718786` Chr`17` : `54,123,973`	0.000	0.993	0.007
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.007	0.993	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.006	0.993	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.006	0.993	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.006	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.005	0.994	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.005	0.995	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.005	0.995	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.005	0.995	0.001
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.005	0.995	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.005	0.995	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.005	0.995	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.005	0.995	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.004	0.995	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.996	0.004
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.004	0.996	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	0.996	0.004
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.004	0.996	0.000
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.004	0.996	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.003	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.003	0.997	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.997	0.003
rs8071558 lBF = `4.46114` Chr`17` : `69,107,673`	0.003	0.997	0.000
rs17765344 lBF = `4.44954` Chr`17` : `69,106,874`	0.003	0.997	0.000
rs2075230 lBF = `-0.00511233` Chr`17` : `7,487,108`	0.000	0.997	0.003
rs225190 lBF = `-0.108737` Chr`17` : `30,877,658`	0.000	0.997	0.003
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.002	0.997	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.002	0.998	0.000
rs318095 lBF = `0.767402` Chr`17` : `46,974,734`	0.000	0.998	0.002
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.002	0.998	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.002	0.998	0.000
rs1859962 lBF = `4.17106` Chr`17` : `69,108,753`	0.002	0.998	0.000
rs46522 lBF = `0.667709` Chr`17` : `46,988,597`	0.000	0.998	0.002
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.002	0.998	0.000
rs2302783 lBF = `5.36933` Chr`17` : `66,447,073`	0.002	0.998	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.002	0.998	0.000
rs4793529 lBF = `4.52568` Chr`17` : `69,118,636`	0.002	0.998	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	0.998	0.002
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.002	0.998	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.002	0.998	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.000	0.998	0.002
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.001	0.998	0.000
rs9896933 lBF = `-0.0757205` Chr`17` : `80,898,088`	0.002	0.998	0.000
rs9906944 lBF = `0.452828` Chr`17` : `47,091,420`	0.002	0.998	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.002	0.998	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.001	0.998	0.000
rs9674544 lBF = `-0.073829` Chr`17` : `47,084,711`	0.001	0.999	0.000
rs623323 lBF = `-0.0439502` Chr`17` : `700,020`	0.000	0.999	0.001
rs1994969 lBF = `-0.0480495` Chr`17` : `47,080,431`	0.001	0.999	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.001	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	0.999	0.001
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.001	0.999	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	0.999	0.001
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.001	0.999	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.001	0.999	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs2672886 lBF = `-0.0283686` Chr`17` : `78,781,651`	0.000	0.999	0.001
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.001	0.999	0.000
rs10521232 lBF = `0.0694156` Chr`17` : `13,539,804`	0.000	0.999	0.001
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.001	0.999	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.001	0.999	0.000
rs8067545 lBF = `-0.0580308` Chr`17` : `19,912,710`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs11080055 lBF = `-0.0957219` Chr`17` : `26,649,724`	0.000	0.999	0.001
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.001	0.999	0.000
rs169313 lBF = `0.704072` Chr`17` : `10,567,483`	0.000	0.999	0.001
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.001	0.999	0.001
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	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
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
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
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	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
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	0.999	0.001
rs17533156 lBF = `-0.0608042` Chr`17` : `75,114,705`	0.001	0.999	0.000
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rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.000	1.000	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	1.000	0.000
rs8076739 lBF = `0.0105619` Chr`17` : `27,714,587`	0.000	1.000	0.000
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.000	1.000	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	1.000	0.000
rs7213812 lBF = `-0.049552` Chr`17` : `31,448,649`	0.000	1.000	0.000
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	0.000	1.000	0.000
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.000	1.000	0.000
rs1503059 lBF = `-0.0679629` Chr`17` : `50,204,456`	0.000	1.000	0.000
rs892961 lBF = `-0.100491` Chr`17` : `75,400,100`	0.000	1.000	0.000
rs12950743 lBF = `13.9014` Chr`17` : `38,049,233`	0.000	1.000	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.000	1.000	0.000
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.000	1.000	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	0.000	1.000	0.000
rs907092 lBF = `10.6486` Chr`17` : `37,922,259`	0.000	1.000	0.000
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.000	1.000	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	1.000	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	1.000	0.000
rs4792909 lBF = `0.822937` Chr`17` : `41,798,824`	0.000	1.000	0.000
rs9905704 lBF = `0.685603` Chr`17` : `56,632,543`	0.000	1.000	0.000
rs11079830 lBF = `0.58289` Chr`17` : `46,682,630`	0.000	1.000	0.000
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.000	1.000	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs757608 lBF = `0.246952` Chr`17` : `59,497,277`	0.000	1.000	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	1.000	0.000
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs1642764 lBF = `0.0051968` Chr`17` : `7,557,834`	0.000	1.000	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	1.000	0.000
rs227724 lBF = `-0.0418164` Chr`17` : `54,778,817`	0.000	1.000	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.000	1.000	0.000
rs3853824 lBF = `-0.0933912` Chr`17` : `54,880,993`	0.000	1.000	0.000
rs17779747 lBF = `-0.10726` Chr`17` : `68,494,992`	0.000	1.000	0.000
rs7216389 lBF = `14.3028` Chr`17` : `38,069,949`	0.000	1.000	0.000
rs8067378 lBF = `13.3376` Chr`17` : `38,051,348`	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
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.000	1.000	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.000	1.000	0.000
rs12150665 lBF = `0.148449` Chr`17` : `34,914,787`	0.000	1.000	0.000
rs12602901 lBF = `0.123649` Chr`17` : `4,824,625`	0.000	1.000	0.000
rs2079795 lBF = `0.106328` Chr`17` : `59,496,649`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	1.000	0.000
rs12601558 lBF = `0.0806125` Chr`17` : `80,179,147`	0.000	1.000	0.000
rs9299 lBF = `0.0624181` Chr`17` : `46,669,430`	0.000	1.000	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs397969 lBF = `-0.0194557` Chr`17` : `19,804,247`	0.000	1.000	0.000
rs3785574 lBF = `-0.0197042` Chr`17` : `61,763,185`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs17857135 lBF = `-0.0487206` Chr`17` : `78,262,161`	0.000	1.000	0.000
rs1015657 lBF = `-0.0665226` Chr`17` : `68,878,487`	0.000	1.000	0.000
rs704 lBF = `-0.082454` Chr`17` : `26,694,861`	0.000	1.000	0.000
rs2291447 lBF = `-0.113286` Chr`17` : `43,212,963`	0.000	1.000	0.000
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.000	1.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs2840044 lBF = `0.763699` Chr`17` : `33,892,068`	0.000	1.000	0.000
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.000	1.000	0.000
rs4924935 lBF = `0.131716` Chr`17` : `18,753,870`	0.000	1.000	0.000
rs2969180 lBF = `0.0546844` Chr`17` : `11,407,901`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs11650106 lBF = `0.0426128` Chr`17` : `57,850,251`	0.000	1.000	0.000
rs7219585 lBF = `0.0129515` Chr`17` : `72,268,208`	0.000	1.000	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs3110643 lBF = `0.00604654` Chr`17` : `36,073,492`	0.000	1.000	0.000
rs12936361 lBF = `0.00462479` Chr`17` : `68,108,417`	0.000	1.000	0.000
rs7216064 lBF = `0.00201617` Chr`17` : `65,898,809`	0.000	1.000	0.000
rs1396515 lBF = `-0.00082143` Chr`17` : `68,430,993`	0.000	1.000	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs17662217 lBF = `-0.0338281` Chr`17` : `32,862,190`	0.000	1.000	0.000
rs4790333 lBF = `-0.0403491` Chr`17` : `2,262,703`	0.000	1.000	0.000
rs6503905 lBF = `-0.0482082` Chr`17` : `57,287,454`	0.000	1.000	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	1.000	0.000
rs9914544 lBF = `-0.0571571` Chr`17` : `18,787,828`	0.000	1.000	0.000
rs2302189 lBF = `-0.0703649` Chr`17` : `56,584,205`	0.000	1.000	0.000
rs817565 lBF = `-0.0720185` Chr`17` : `67,432,385`	0.000	1.000	0.000
rs10445407 lBF = `-0.083493` Chr`17` : `79,261,809`	0.000	1.000	0.000
rs2279913 lBF = `-0.0836422` Chr`17` : `79,168,268`	0.000	1.000	0.000
rs12103884 lBF = `14.2192` Chr`17` : `38,045,725`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1697

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9381

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9031

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.8911

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8142

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7819

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7771

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7762

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7275

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7212

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7161

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7147

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7115

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7051

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7048

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6959

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6958

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6844

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6775

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6732

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6730

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6625

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6594

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6446

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6366

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6307

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6288

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6226

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6224

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6133

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6061

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6011

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5944

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5944

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5929

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5563

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5478

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5470

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5200

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5057

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4989

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4921

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4876

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4833

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4764

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4745

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4609

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4527

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4518

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4428

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4383

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4244

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4243

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4167

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4005

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3946

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3847

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3668

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3538

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3155

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3139

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2885

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2804

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2631

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2627

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2523

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2474

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2420

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2412

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2323

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2249

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2157

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2080

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1989

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1936

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1907

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1892

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1780

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1657

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1643

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1623

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1618

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1587

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1520

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1460

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1449

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1343

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1303

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1187

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1142

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1103

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1027

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0975

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0973

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0959

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0952

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0884

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0779

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0757

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0699

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0689

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0686

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0663

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0655

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0627

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0540

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0540

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0514

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`)