TreeWAS – [Z54.9] Convalescence following unspecified treatment

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
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.555	0.445	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.523	0.476	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.517	0.483	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.514	0.486	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.512	0.488	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.511	0.488	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.511	0.489	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.509	0.491	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.500	0.500	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.500	0.500	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.489	0.511	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.482	0.518	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.471	0.529	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.468	0.532	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.445	0.555	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.435	0.565	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.429	0.570	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.422	0.578	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.414	0.586	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.412	0.588	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.403	0.597	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.402	0.597	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.399	0.601	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.399	0.601	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.390	0.610	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.361	0.638	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.351	0.648	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.351	0.649	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.350	0.650	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.347	0.653	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.343	0.656	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.334	0.665	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.333	0.667	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.325	0.674	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.283	0.717	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.275	0.724	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.271	0.729	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.266	0.734	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.261	0.738	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.261	0.738	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.260	0.740	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.249	0.751	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.241	0.758	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.208	0.792	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.207	0.792	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.195	0.805	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.172	0.828	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.171	0.829	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.168	0.831	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.153	0.847	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.149	0.850	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.144	0.856	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.139	0.860	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.111	0.888	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.107	0.892	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.103	0.897	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.098	0.902	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.097	0.902	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.083	0.916	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.069	0.931	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.059	0.941	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.054	0.946	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.051	0.949	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.051	0.949	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.051	0.949	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.049	0.951	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.045	0.955	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.045	0.955	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.043	0.956	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.038	0.962	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.964	0.036
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.030	0.970	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.030	0.970	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.025	0.975	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.020	0.980	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.018	0.982	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.017	0.983	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.016	0.983	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.015	0.985	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.014	0.986	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.013	0.986	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.013	0.986	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.012	0.988	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.012	0.988	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.989	0.011
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.010	0.990	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.009	0.990	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.009	0.990	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.009	0.991	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.009	0.991	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.008	0.991	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.008	0.992	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.007	0.992	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.007	0.992	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.006	0.994	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.006	0.994	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.006	0.994	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.005	0.995	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.004	0.995	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.004	0.995	0.000
rs2315504 lBF = `-0.0661126` Chr`17` : `39,046,881`	0.000	0.995	0.004
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.004	0.996	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.004	0.996	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.004	0.996	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.004	0.996	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.004	0.996	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.004	0.996	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.003	0.996	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.003	0.997	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.003	0.997	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.003	0.997	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.003	0.997	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.003	0.997	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.002	0.998	0.000
rs11545787 lBF = `-0.0420883` Chr`17` : `17,398,278`	0.002	0.998	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.002	0.998	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.002	0.998	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.002	0.998	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.998	0.002
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.002	0.998	0.000
rs903107 lBF = `-0.0939653` Chr`17` : `71,061,934`	0.002	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.001	0.999	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.001	0.999	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.001	0.999	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.001	0.999	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.001	0.999	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.001	0.999	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.001	0.999	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs28587833 lBF = `-0.0953642` Chr`17` : `78,511,327`	0.001	0.999	0.000
rs1870584 lBF = `0.027536` Chr`17` : `12,047,544`	0.001	0.999	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs2279913 lBF = `-0.0836422` Chr`17` : `79,168,268`	0.000	0.999	0.001
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.001	0.999	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	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
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
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
rs61744862 lBF = `0` Chr`17` : `17,068,182`	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
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
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.001	0.999	0.000
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
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
rs12103884 lBF = `14.2192` Chr`17` : `38,045,725`	0.001	0.999	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.001	0.999	0.000
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.001	0.999	0.000
rs12950743 lBF = `13.9014` Chr`17` : `38,049,233`	0.001	0.999	0.000
rs8067378 lBF = `13.3376` Chr`17` : `38,051,348`	0.001	0.999	0.000
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.000	0.999	0.001
rs7219014 lBF = `0.0314524` Chr`17` : `37,624,790`	0.000	0.999	0.001
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.001	0.999	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.001	0.999	0.000
rs906175 lBF = `0.0194719` Chr`17` : `79,173,462`	0.001	0.999	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.001	0.999	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	0.999	0.001
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.999	0.001
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.000	0.999	0.000
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.000	0.999	0.001
rs8071558 lBF = `4.46114` Chr`17` : `69,107,673`	0.000	0.999	0.001
rs17765344 lBF = `4.44954` Chr`17` : `69,106,874`	0.000	0.999	0.001
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.001	0.999	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.001	0.999	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.000	0.999	0.001
rs9303280 lBF = `13.2746` Chr`17` : `38,074,031`	0.001	0.999	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.001	0.999	0.000
rs4640244 lBF = `0.109956` Chr`17` : `21,284,223`	0.000	0.999	0.000
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.001	0.999	0.000
rs9900205 lBF = `-0.0886445` Chr`17` : `64,715,108`	0.001	0.999	0.000
rs4065986 lBF = `6.82996` Chr`17` : `38,102,641`	0.001	0.999	0.000
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rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	0.999	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	0.999	0.000
rs1006703 lBF = `-0.00866852` Chr`17` : `3,865,399`	0.000	0.999	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	0.999	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.000	0.999	0.000
rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.000	0.999	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	0.999	0.000
rs447921 lBF = `-0.0232117` Chr`17` : `74,414,559`	0.000	0.999	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	0.999	0.000
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.000	0.999	0.000
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	0.000	0.999	0.000
rs17645023 lBF = `-0.0505989` Chr`17` : `64,917,033`	0.000	0.999	0.000
rs11079757 lBF = `-0.0562497` Chr`17` : `45,195,850`	0.000	0.999	0.000
rs1975974 lBF = `-0.0615655` Chr`17` : `21,707,060`	0.000	0.999	0.000
rs4646404 lBF = `-0.0761786` Chr`17` : `17,420,199`	0.000	0.999	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.000	0.999	0.000
rs4343 lBF = `-0.0859132` Chr`17` : `61,566,031`	0.000	0.999	0.000
rs2019216 lBF = `-0.0996054` Chr`17` : `21,909,650`	0.000	0.999	0.000
rs892961 lBF = `-0.100491` Chr`17` : `75,400,100`	0.000	0.999	0.000
rs4605213 lBF = `-0.113884` Chr`17` : `49,244,747`	0.000	0.999	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.000	1.000	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	1.000	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	1.000	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	1.000	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	1.000	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.000	1.000	0.000
rs10445337 lBF = `7.56478` Chr`17` : `44,067,400`	0.000	1.000	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	1.000	0.000
rs2732703 lBF = `4.25554` Chr`17` : `44,353,222`	0.000	1.000	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	1.000	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	1.000	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	1.000	0.000
rs9915657 lBF = `1.06444` Chr`17` : `70,127,536`	0.000	1.000	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.000	1.000	0.000
rs1316453 lBF = `0.222152` Chr`17` : `77,410,859`	0.000	1.000	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	1.000	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	1.000	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	1.000	0.000
rs8070463 lBF = `0.0889562` Chr`17` : `45,768,836`	0.000	1.000	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.000	1.000	0.000
rs10521232 lBF = `0.0694156` Chr`17` : `13,539,804`	0.000	1.000	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	1.000	0.000
rs9901225 lBF = `0.0666571` Chr`17` : `40,755,811`	0.000	1.000	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	1.000	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.000	1.000	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.000	1.000	0.000
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	1.000	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	1.000	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.000	1.000	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.000	1.000	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs8073783 lBF = `-0.0163119` Chr`17` : `51,237,941`	0.000	1.000	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs718073 lBF = `-0.0274968` Chr`17` : `70,584,265`	0.000	1.000	0.000
rs944722 lBF = `-0.0285062` Chr`17` : `26,092,037`	0.000	1.000	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	1.000	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs8076457 lBF = `-0.0365304` Chr`17` : `8,943,929`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.000	1.000	0.000
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.000	1.000	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	1.000	0.000
rs1872085 lBF = `-0.0699987` Chr`17` : `71,528,080`	0.000	1.000	0.000
rs9896933 lBF = `-0.0757205` Chr`17` : `80,898,088`	0.000	1.000	0.000
rs2453580 lBF = `-0.0891733` Chr`17` : `19,438,321`	0.000	1.000	0.000
rs2074518 lBF = `-0.106489` Chr`17` : `33,324,382`	0.000	1.000	0.000
rs6503782 lBF = `-0.115305` Chr`17` : `55,108,734`	0.000	1.000	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.000	1.000	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	1.000	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	1.000	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	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-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	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-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.000	1.000	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.000	1.000	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	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

0.4720

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4499

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7021

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7015

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6998

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6976

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6940

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6910

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6895

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6894

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6888

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6886

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6861

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6838

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6801

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6750

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6743

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6741

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6737

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6735

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6729

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6688

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6679

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6679

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6641

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6632

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6603

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6597

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6596

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6579

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6577

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6572

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6563

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6553

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6516

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6475

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6446

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6442

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6425

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6415

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6410

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6389

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6383

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6377

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6376

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6341

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6318

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6307

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6288

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6283

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6251

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6240

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6220

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6193

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6190

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6155

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6128

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6115

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6101

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6095

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6077

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6041

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6022

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6007

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5992

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5934

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5924

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5922

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5921

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5907

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5896

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5896

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5891

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5812

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5801

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5763

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5735

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5721

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5714

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5695

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5689

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5656

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5648

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5613

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5603

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5573

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5558

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5540

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5500

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5466

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5449

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5434

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5433

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5419

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5391

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5389

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5324

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5321

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5318

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5313

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5298

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5271

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5237

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5192

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5158

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5149

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5140

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5140

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5132

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5074

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5068

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5010

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4989

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4887

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4840

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4815

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4798

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4738

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4582

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4535

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4237

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4221

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4188

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4136

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4016

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3877

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3712

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3705

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3663

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3505

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3483

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3400

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3266

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3224

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3053

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3015

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3006

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2939

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2913

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2522

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2506

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2445

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2273

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2083

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2034

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1918

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1876

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1793

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1788

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1711

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1432

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1191

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1066

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1062

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0905

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0801

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0782

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0685

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0674

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0665

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0574

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0529

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`)