TreeWAS – [B96.2] Escherichia coli [E. coli] as the cause of diseases classified to other chapters

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
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.998	0.002	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.996	0.004	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.994	0.006	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.947	0.053	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.894	0.106	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.892	0.108	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.889	0.111	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.863	0.137	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.805	0.195	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.774	0.226	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.772	0.228	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.756	0.244	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.707	0.293	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.670	0.330	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.662	0.338	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.662	0.338	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.661	0.339	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.658	0.342	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.656	0.344	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.656	0.344	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.654	0.346	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.623	0.377	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.619	0.381	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.618	0.382	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.588	0.412	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.585	0.415	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.535	0.465	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.506	0.494	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.505	0.495	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.455	0.545	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.453	0.547	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	0.548	0.452
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.439	0.561	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.432	0.568	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.424	0.576	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.385	0.615	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.367	0.633	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.351	0.649	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.347	0.653	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.326	0.674	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.325	0.675	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.321	0.679	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.301	0.699	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.298	0.702	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.292	0.708	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.282	0.718	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.278	0.722	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.273	0.727	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.267	0.732	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.265	0.735	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.251	0.748	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.248	0.751	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.244	0.756	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.242	0.758	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.241	0.759	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.228	0.772	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.218	0.782	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.216	0.783	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.187	0.812	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.186	0.814	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.185	0.815	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.183	0.817	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.178	0.822	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.169	0.831	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.169	0.831	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.169	0.831	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.164	0.836	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.160	0.840	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.159	0.841	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.158	0.842	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.158	0.842	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.155	0.845	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.148	0.852	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.142	0.858	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.139	0.861	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.129	0.870	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.118	0.882	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.117	0.883	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.109	0.890	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.109	0.891	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.104	0.895	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.104	0.896	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.103	0.897	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.096	0.904	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.089	0.911	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.088	0.912	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.086	0.914	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.085	0.915	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.079	0.921	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.079	0.921	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.076	0.924	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.073	0.927	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.072	0.928	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.071	0.929	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.067	0.933	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.062	0.938	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.057	0.943	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.057	0.943	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.056	0.944	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.055	0.945	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.051	0.949	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.047	0.953	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.047	0.953	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.046	0.954	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.044	0.956	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.042	0.958	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.041	0.959	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.038	0.962	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.034	0.966	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.033	0.967	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.029	0.971	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.026	0.973	0.001
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.027	0.973	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.027	0.973	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.026	0.974	0.000
rs8081523 lBF = `0.0423272` Chr`17` : `76,304,510`	0.024	0.976	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.022	0.978	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.022	0.978	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.022	0.978	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.022	0.978	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.020	0.980	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.018	0.981	0.001
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.019	0.981	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.017	0.983	0.001
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.017	0.983	0.000
rs584438 lBF = `0.00812806` Chr`17` : `38,599,172`	0.015	0.985	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.013	0.987	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.012	0.987	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.011	0.989	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.010	0.989	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.010	0.990	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.010	0.990	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.009	0.991	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.006	0.994	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.006	0.994	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.005	0.994	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.995	0.005
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.004	0.996	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.004	0.996	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.003	0.996	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.003	0.997	0.000
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	0.997	0.003
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.997	0.002
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.002	0.997	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.003	0.997	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.003	0.997	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.003	0.997	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.002	0.997	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.002	0.998	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	0.998	0.002
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.002	0.998	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	0.998	0.002
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.000	0.998	0.002
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.002	0.998	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.001	0.998	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.002	0.998	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	0.998	0.002
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.001	0.998	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.001	0.998	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.001	0.999	0.000
rs7210086 lBF = `-0.0844228` Chr`17` : `70,641,698`	0.000	0.999	0.001
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.001	0.999	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	0.999	0.001
rs12451788 lBF = `-0.0296921` Chr`17` : `1,941,048`	0.000	0.999	0.001
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.001
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.999	0.001
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.001	0.999	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.001	0.999	0.000
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
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
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
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
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
rs186171056 lBF = `0` Chr`17` : `59,606,089`	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
rs116284889 lBF = `0` Chr`17` : `56,316,722`	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
rs144908958 lBF = `0` Chr`17` : `31,532,414`	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
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rs180515 lBF = `0.809847` Chr`17` : `58,024,275`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	1.000	0.000
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs4925166 lBF = `0.164964` Chr`17` : `18,210,810`	0.000	1.000	0.000
rs3096644 lBF = `0.151127` Chr`17` : `46,757,575`	0.000	1.000	0.000
rs2240736 lBF = `0.147927` Chr`17` : `59,485,393`	0.000	1.000	0.000
rs8068318 lBF = `0.144792` Chr`17` : `59,483,766`	0.000	1.000	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.000	1.000	0.000
rs2019872 lBF = `0.117668` Chr`17` : `2,010,318`	0.000	1.000	0.000
rs4640244 lBF = `0.109956` Chr`17` : `21,284,223`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	1.000	0.000
rs7219014 lBF = `0.0314524` Chr`17` : `37,624,790`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	1.000	0.000
rs4144743 lBF = `-0.00182064` Chr`17` : `45,323,125`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.000	1.000	0.000
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	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
rs7225151 lBF = `-0.0513115` Chr`17` : `5,137,047`	0.000	1.000	0.000
rs4793501 lBF = `-0.063154` Chr`17` : `68,718,734`	0.000	1.000	0.000
rs11079764 lBF = `-0.067193` Chr`17` : `45,309,693`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs11079160 lBF = `-0.0751658` Chr`17` : `53,404,725`	0.000	1.000	0.000
rs12936587 lBF = `-0.0793414` Chr`17` : `17,543,722`	0.000	1.000	0.000
rs704 lBF = `-0.082454` Chr`17` : `26,694,861`	0.000	1.000	0.000
rs1401796 lBF = `-0.0840115` Chr`17` : `54,839,759`	0.000	1.000	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.000	1.000	0.000
rs9891572 lBF = `-0.0887405` Chr`17` : `2,428,508`	0.000	1.000	0.000
rs28587833 lBF = `-0.0953642` Chr`17` : `78,511,327`	0.000	1.000	0.000
rs2190547 lBF = `-0.105046` Chr`17` : `68,929,435`	0.000	1.000	0.000
rs11077614 lBF = `-0.112597` Chr`17` : `70,594,629`	0.000	1.000	0.000
rs11263763 lBF = `28.9425` Chr`17` : `36,103,565`	0.000	1.000	0.000
rs11651052 lBF = `28.1116` Chr`17` : `36,102,381`	0.000	1.000	0.000
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.000	1.000	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	1.000	0.000
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	0.000	1.000	0.000
rs9913911 lBF = `7.26611` Chr`17` : `10,031,183`	0.000	1.000	0.000
Affx-13922976 lBF = `5.36343` Chr`17` : `43,659,975`	0.000	1.000	0.000
rs17609240 lBF = `5.32146` Chr`17` : `38,110,689`	0.000	1.000	0.000
rs3859192 lBF = `3.26845` Chr`17` : `38,128,648`	0.000	1.000	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.000	1.000	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.000	1.000	0.000
rs391300 lBF = `1.03278` Chr`17` : `2,216,258`	0.000	1.000	0.000
rs11871801 lBF = `0.931073` Chr`17` : `40,570,772`	0.000	1.000	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	1.000	0.000
rs9907309 lBF = `0.581202` Chr`17` : `14,938,944`	0.000	1.000	0.000
rs12150660 lBF = `0.56711` Chr`17` : `7,521,915`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs1292053 lBF = `0.359007` Chr`17` : `57,963,537`	0.000	1.000	0.000
rs17183295 lBF = `0.349161` Chr`17` : `31,078,272`	0.000	1.000	0.000
rs12938078 lBF = `0.273225` Chr`17` : `55,743,277`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs11655550 lBF = `0.0523183` Chr`17` : `37,610,123`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs1000940 lBF = `0.0375032` Chr`17` : `5,283,252`	0.000	1.000	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	1.000	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	0.000	1.000	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	1.000	0.000
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.000	1.000	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.000	1.000	0.000
rs55714927 lBF = `-0.0253605` Chr`17` : `7,080,316`	0.000	1.000	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	1.000	0.000
rs923375 lBF = `-0.0351892` Chr`17` : `3,393,068`	0.000	1.000	0.000
rs9303196 lBF = `-0.035859` Chr`17` : `5,907,443`	0.000	1.000	0.000
rs820217 lBF = `-0.036926` Chr`17` : `73,688,294`	0.000	1.000	0.000
rs271674 lBF = `-0.0396692` Chr`17` : `47,978,986`	0.000	1.000	0.000
rs2659005 lBF = `-0.0444975` Chr`17` : `79,218,714`	0.000	1.000	0.000
rs7224668 lBF = `-0.0447813` Chr`17` : `79,235,788`	0.000	1.000	0.000
rs28998802 lBF = `-0.0455744` Chr`17` : `26,124,908`	0.000	1.000	0.000
rs3027247 lBF = `-0.0497048` Chr`17` : `8,130,867`	0.000	1.000	0.000
rs9902403 lBF = `-0.0502294` Chr`17` : `2,827,958`	0.000	1.000	0.000
rs929474 lBF = `-0.0507548` Chr`17` : `68,724,036`	0.000	1.000	0.000
rs820218 lBF = `-0.0511756` Chr`17` : `73,687,495`	0.000	1.000	0.000
rs2070776 lBF = `-0.0513655` Chr`17` : `62,007,498`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs17533156 lBF = `-0.0608042` Chr`17` : `75,114,705`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	0.000	1.000	0.000
rs7217319 lBF = `-0.0860359` Chr`17` : `38,924`	0.000	1.000	0.000
rs12950390 lBF = `-0.102435` Chr`17` : `45,830,948`	0.000	1.000	0.000
rs225190 lBF = `-0.108737` Chr`17` : `30,877,658`	0.000	1.000	0.000
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3204

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3019

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9998

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9997

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9988

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9986

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9978

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9974

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9973

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9933

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9918

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9864

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9835

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9813

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9790

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9755

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9726

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9627

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9468

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9443

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9388

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9382

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9375

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9354

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9293

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9061

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9021

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8964

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8862

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8860

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8829

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8715

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8542

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8484

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8420

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8315

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8239

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.8219

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7929

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7700

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7565

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7392

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7383

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6971

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6802

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6513

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6401

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6396

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6129

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5869

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5818

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5811

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5299

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4741

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4631

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4464

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4345

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4296

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4134

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3994

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3536

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3069

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2834

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2687

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2616

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2493

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2482

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2475

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2376

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1751

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1410

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1409

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1330

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1223

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1160

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1144

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1100

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1088

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1049

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1029

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0966

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0897

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0696

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0693

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0658

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0655

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0645

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.0634

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0591

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0567

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0522

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`)