TreeWAS – [K52.2] Allergic and dietetic gastro-enteritis and colitis

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
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.696	0.304	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.688	0.312	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.559	0.441	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.547	0.453	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.535	0.465	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.527	0.473	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.459	0.541	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.440	0.559	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.435	0.565	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.418	0.582	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.407	0.593	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.387	0.613	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.372	0.628	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.359	0.641	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.358	0.642	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.343	0.657	0.000
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.342	0.658	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.306	0.693	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.306	0.694	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.293	0.706	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.290	0.710	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.290	0.710	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.270	0.730	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.258	0.742	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.250	0.750	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.248	0.752	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.247	0.753	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.246	0.754	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.230	0.770	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.225	0.774	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.213	0.787	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.202	0.798	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.181	0.819	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.173	0.827	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.172	0.827	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.167	0.833	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.160	0.840	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.160	0.840	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.153	0.847	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.149	0.851	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.149	0.851	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.147	0.853	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.146	0.853	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.111	0.888	0.001
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.107	0.893	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.100	0.900	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.100	0.900	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.092	0.907	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.083	0.917	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.082	0.918	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.079	0.920	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.079	0.921	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.072	0.926	0.001
rs3110496 lBF = `1.23808` Chr`17` : `27,917,771`	0.000	0.927	0.072
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.069	0.931	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.068	0.931	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.057	0.943	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.055	0.945	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.054	0.945	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.054	0.946	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.051	0.949	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.050	0.950	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.044	0.956	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.042	0.958	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.041	0.959	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.038	0.962	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.038	0.962	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.037	0.963	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.034	0.966	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.034	0.966	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.030	0.970	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.029	0.971	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.028	0.972	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.025	0.975	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.024	0.976	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.023	0.976	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.022	0.978	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.020	0.980	0.000
rs3902025 lBF = `6.12351` Chr`17` : `38,119,254`	0.019	0.981	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.018	0.982	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.017	0.983	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.016	0.984	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.013	0.986	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.013	0.987	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.012	0.987	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.000	0.988	0.012
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.011	0.989	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.011	0.989	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.010	0.990	0.000
rs3091316 lBF = `-0.0699381` Chr`17` : `32,593,974`	0.000	0.990	0.010
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.009	0.990	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.009	0.991	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.009	0.991	0.001
rs3091315 lBF = `-0.0705817` Chr`17` : `32,593,665`	0.000	0.991	0.009
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.008	0.992	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.008	0.992	0.000
rs9889296 lBF = `-0.0525696` Chr`17` : `32,570,547`	0.000	0.993	0.007
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.007	0.993	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.007	0.993	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.007	0.993	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.006	0.993	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.006	0.994	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.006	0.994	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.006	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.006	0.994	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.005	0.994	0.000
rs6503526 lBF = `6.21627` Chr`17` : `38,114,598`	0.000	0.995	0.005
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.005	0.995	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.005	0.995	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.005	0.995	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.995	0.005
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.005	0.995	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.004	0.995	0.000
rs17761864 lBF = `0.0184136` Chr`17` : `2,171,637`	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
rs2305479 lBF = `13.817` Chr`17` : `38,062,217`	0.000	0.996	0.004
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.004	0.996	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.004	0.996	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.003	0.996	0.001
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.004	0.996	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	0.997	0.003
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs8074700 lBF = `-0.0327177` Chr`17` : `46,749,791`	0.003	0.997	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.003	0.997	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.000	0.997	0.003
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.003	0.997	0.000
rs4794820 lBF = `9.98152` Chr`17` : `38,089,344`	0.000	0.997	0.003
rs17662217 lBF = `-0.0338281` Chr`17` : `32,862,190`	0.003	0.997	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.002	0.997	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.997	0.002
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.002	0.997	0.000
rs12938078 lBF = `0.273225` Chr`17` : `55,743,277`	0.002	0.998	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.002	0.998	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.002	0.998	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.002	0.998	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.002	0.998	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.002	0.998	0.000
rs4065986 lBF = `6.82996` Chr`17` : `38,102,641`	0.000	0.998	0.002
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.002	0.998	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.001	0.998	0.000
rs4795406 lBF = `6.87863` Chr`17` : `38,100,134`	0.000	0.998	0.002
rs2019872 lBF = `0.117668` Chr`17` : `2,010,318`	0.002	0.998	0.000
rs6503525 lBF = `6.47206` Chr`17` : `38,095,174`	0.000	0.998	0.001
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.000	0.998	0.001
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	0.999	0.001
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	0.999	0.001
rs3894194 lBF = `6.96611` Chr`17` : `38,121,993`	0.000	0.999	0.001
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.001	0.999	0.000
rs17609240 lBF = `5.32146` Chr`17` : `38,110,689`	0.001	0.999	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.001	0.999	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	0.999	0.001
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.001	0.999	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs12948394 lBF = `-0.0563817` Chr`17` : `76,382,791`	0.000	0.999	0.001
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.001	0.999	0.000
rs2326017 lBF = `-0.00508694` Chr`17` : `46,720,565`	0.000	0.999	0.001
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.001	0.999	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.001	0.999	0.000
rs4129767 lBF = `-0.0382041` Chr`17` : `76,403,984`	0.001	0.999	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.001	0.999	0.000
rs2302783 lBF = `5.36933` Chr`17` : `66,447,073`	0.000	0.999	0.001
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	0.999	0.001
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.000	0.999	0.001
rs3096644 lBF = `0.151127` Chr`17` : `46,757,575`	0.000	0.999	0.001
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.001	0.999	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	0.001	0.999	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs8067165 lBF = `-0.0740107` Chr`17` : `8,031,936`	0.001	0.999	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	0.999	0.001
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.000	0.999	0.001
rs1975974 lBF = `-0.0615655` Chr`17` : `21,707,060`	0.000	0.999	0.001
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	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
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
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rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.000	1.000	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	1.000	0.000
rs8067235 lBF = `-0.00822143` Chr`17` : `79,024,637`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs7221109 lBF = `-0.0186403` Chr`17` : `38,770,286`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs16956936 lBF = `-0.0329272` Chr`17` : `7,633,692`	0.000	1.000	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	1.000	0.000
rs7225151 lBF = `-0.0513115` Chr`17` : `5,137,047`	0.000	1.000	0.000
rs17533156 lBF = `-0.0608042` Chr`17` : `75,114,705`	0.000	1.000	0.000
rs12449964 lBF = `-0.0610517` Chr`17` : `17,544,704`	0.000	1.000	0.000
rs4430796 lBF = `25.1458` Chr`17` : `36,098,040`	0.000	1.000	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.000	1.000	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	1.000	0.000
rs216196 lBF = `8.07442` Chr`17` : `2,202,943`	0.000	1.000	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.000	1.000	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.000	1.000	0.000
rs2760743 lBF = `6.55443` Chr`17` : `2,017,079`	0.000	1.000	0.000
rs7222591 lBF = `5.54307` Chr`17` : `47,507,019`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	1.000	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	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
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.000	1.000	0.000
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	1.000	0.000
rs3744061 lBF = `0.0157117` Chr`17` : `74,733,403`	0.000	1.000	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	1.000	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs35219335 lBF = `-0.0135019` Chr`17` : `10,077,836`	0.000	1.000	0.000
rs9303401 lBF = `-0.0139074` Chr`17` : `56,847,945`	0.000	1.000	0.000
rs3785574 lBF = `-0.0197042` Chr`17` : `61,763,185`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	1.000	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	1.000	0.000
rs8066857 lBF = `-0.0364293` Chr`17` : `70,696,103`	0.000	1.000	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.000	1.000	0.000
rs2075555 lBF = `-0.0425031` Chr`17` : `48,274,291`	0.000	1.000	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	1.000	0.000
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.000	1.000	0.000
rs6504663 lBF = `-0.043126` Chr`17` : `48,591,209`	0.000	1.000	0.000
rs623323 lBF = `-0.0439502` Chr`17` : `700,020`	0.000	1.000	0.000
rs2659005 lBF = `-0.0444975` Chr`17` : `79,218,714`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	0.000	1.000	0.000
rs7213812 lBF = `-0.049552` Chr`17` : `31,448,649`	0.000	1.000	0.000
rs1663189 lBF = `-0.050365` Chr`17` : `77,889,055`	0.000	1.000	0.000
rs17645023 lBF = `-0.0505989` Chr`17` : `64,917,033`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs11651708 lBF = `-0.057113` Chr`17` : `64,517,313`	0.000	1.000	0.000
rs3027234 lBF = `-0.0637675` Chr`17` : `8,136,092`	0.000	1.000	0.000
rs1503059 lBF = `-0.0679629` Chr`17` : `50,204,456`	0.000	1.000	0.000
rs4351 lBF = `-0.0708325` Chr`17` : `61,569,732`	0.000	1.000	0.000
rs411988 lBF = `-0.0722544` Chr`17` : `56,709,034`	0.000	1.000	0.000
rs412000 lBF = `-0.073512` Chr`17` : `56,709,058`	0.000	1.000	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.000	1.000	0.000
rs4343 lBF = `-0.0859132` Chr`17` : `61,566,031`	0.000	1.000	0.000
rs4362 lBF = `-0.0889821` Chr`17` : `61,573,761`	0.000	1.000	0.000
rs2017854 lBF = `-0.103445` Chr`17` : `65,488,021`	0.000	1.000	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.000	1.000	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.000	1.000	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	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
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.000	1.000	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	1.000	0.000
rs2517959 lBF = `4.33643` Chr`17` : `37,846,512`	0.000	1.000	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	1.000	0.000
rs7211029 lBF = `3.19542` Chr`17` : `77,141,308`	0.000	1.000	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.000	1.000	0.000
rs11655470 lBF = `1.92618` Chr`17` : `43,795,433`	0.000	1.000	0.000
rs9915657 lBF = `1.06444` Chr`17` : `70,127,536`	0.000	1.000	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	1.000	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	1.000	0.000
rs2908972 lBF = `0.401177` Chr`17` : `11,407,259`	0.000	1.000	0.000
rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs727428 lBF = `0.234682` Chr`17` : `7,537,792`	0.000	1.000	0.000
rs35895680 lBF = `0.224475` Chr`17` : `47,060,322`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs2945412 lBF = `0.200736` Chr`17` : `25,843,643`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	1.000	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	1.000	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	1.000	0.000
rs12451788 lBF = `-0.0296921` Chr`17` : `1,941,048`	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

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

0.1616

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7231

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7161

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7148

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7138

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7119

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7112

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7112

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7085

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7073

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7071

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7042

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7006

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7004

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6989

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6981

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6942

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6890

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6791

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6777

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6723

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6706

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6702

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6651

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6585

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6552

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6362

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6302

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6272

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6240

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6240

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6203

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6201

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6181

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6082

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5974

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5960

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5905

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5832

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5793

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5775

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5706

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5636

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5620

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5585

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5565

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5497

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5476

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5373

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5293

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5278

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5247

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5120

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5091

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5032

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4994

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4949

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4942

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4942

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4908

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4894

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4418

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4294

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4112

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4055

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4050

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4032

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4009

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3961

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3958

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3893

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3886

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3871

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3848

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3756

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3699

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3624

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3567

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3493

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3437

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3315

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3295

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3199

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3139

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3127

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3109

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2975

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2885

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2779

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2775

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2715

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2688

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2674

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2628

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2594

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2520

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2506

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2503

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2377

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2200

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2062

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2040

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2005

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1948

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1920

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1912

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1845

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1820

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1791

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1708

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1692

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1666

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1585

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1581

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1547

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1543

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1501

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1485

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1477

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1456

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1439

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1391

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1306

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1236

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1234

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1229

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1221

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1148

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1147

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1019

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1010

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0920

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0901

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0884

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0803

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0800

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0720

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0638

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0625

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0563

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0520

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0519

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0511

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0510

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`)