TreeWAS – [Z88.7] Personal history of allergy to serum and vaccine

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.805	0.195	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.776	0.224	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.710	0.290	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.700	0.300	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.698	0.302	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.685	0.315	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.666	0.334	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.583	0.417	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.573	0.427	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.535	0.464	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.492	0.508	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.389	0.611	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.374	0.626	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.353	0.646	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.344	0.656	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.295	0.704	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.291	0.709	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.237	0.763	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.230	0.769	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.223	0.777	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.219	0.781	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.202	0.798	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.189	0.811	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.186	0.814	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.177	0.822	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.174	0.826	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.171	0.829	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.151	0.849	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.875	0.125
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.080	0.920	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.078	0.922	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.060	0.940	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.052	0.948	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.042	0.958	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.038	0.962	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.035	0.964	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.035	0.965	0.000
rs12450323 lBF = `3.86965` Chr`17` : `37,972,708`	0.026	0.974	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.024	0.976	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.022	0.978	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.022	0.978	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.020	0.980	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.014	0.985	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.014	0.986	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.012	0.988	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.000	0.989	0.011
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.011	0.989	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.009	0.990	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.009	0.991	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.008	0.992	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.008	0.992	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.008	0.992	0.000
rs7225151 lBF = `-0.0513115` Chr`17` : `5,137,047`	0.000	0.993	0.007
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.006	0.993	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.005	0.995	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.005	0.995	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.005	0.995	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.004	0.995	0.000
rs1055129 lBF = `-0.0920539` Chr`17` : `73,872,948`	0.004	0.996	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.004	0.996	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.003	0.996	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.003	0.996	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.003	0.997	0.001
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.003	0.997	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.003	0.997	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.003	0.997	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.003	0.997	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.002	0.997	0.000
rs4788985 lBF = `-0.112155` Chr`17` : `75,313,335`	0.000	0.997	0.003
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.002	0.998	0.000
rs227726 lBF = `-0.0638644` Chr`17` : `54,777,585`	0.000	0.998	0.002
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.002	0.998	0.000
rs8074751 lBF = `-0.0660515` Chr`17` : `63,642,542`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.002	0.998	0.000
rs712046 lBF = `-0.0691899` Chr`17` : `34,358,297`	0.002	0.998	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	0.998	0.002
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	0.998	0.001
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.001	0.999	0.000
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.001	0.999	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.001	0.999	0.000
rs12150665 lBF = `0.148449` Chr`17` : `34,914,787`	0.000	0.999	0.001
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.001	0.999	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.001	0.999	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.001	0.999	0.000
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.001	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.001	0.999	0.000
rs12453914 lBF = `0.0421126` Chr`17` : `67,138,878`	0.000	0.999	0.001
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.001	0.999	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	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
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.001	0.999	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.001	0.999	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	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
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
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
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	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
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	0.001	0.999	0.000
rs9906944 lBF = `0.452828` Chr`17` : `47,091,420`	0.001	0.999	0.000
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs8067165 lBF = `-0.0740107` Chr`17` : `8,031,936`	0.000	0.999	0.001
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.001	0.999	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.000	0.999	0.001
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	0.999	0.001
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.001	0.999	0.000
rs2060070 lBF = `-0.0718786` Chr`17` : `54,123,973`	0.000	0.999	0.001
rs3859192 lBF = `3.26845` Chr`17` : `38,128,648`	0.001	0.999	0.000
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.001	0.999	0.000
rs9914258 lBF = `5.38881` Chr`17` : `10,031,642`	0.000	0.999	0.001
rs2013441 lBF = `-0.0856497` Chr`17` : `20,023,099`	0.001	0.999	0.000
rs11656696 lBF = `5.98584` Chr`17` : `10,033,679`	0.000	0.999	0.001
rs9893168 lBF = `5.87412` Chr`17` : `10,031,571`	0.000	0.999	0.001
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.001	0.999	0.000
rs1035050 lBF = `-0.0589331` Chr`17` : `47,564,012`	0.001	0.999	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	0.999	0.001
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	0.999	0.001
rs2190547 lBF = `-0.105046` Chr`17` : `68,929,435`	0.000	0.999	0.001
rs11871801 lBF = `0.931073` Chr`17` : `40,570,772`	0.001	0.999	0.000
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.000	0.999	0.001
rs9303196 lBF = `-0.035859` Chr`17` : `5,907,443`	0.000	0.999	0.001
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.001	0.999	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.000	0.999	0.000
rs6565681 lBF = `-0.0627288` Chr`17` : `78,348,494`	0.000	0.999	0.001
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.000	0.999	0.001
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.000	0.999	0.001
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	0.999	0.001
rs11867479 lBF = `-0.0010545` Chr`17` : `68,090,207`	0.000	0.999	0.001
rs9889296 lBF = `-0.0525696` Chr`17` : `32,570,547`	0.001	0.999	0.000
rs12150284 lBF = `7.56098` Chr`17` : `10,031,090`	0.000	0.999	0.001
rs2079795 lBF = `0.106328` Chr`17` : `59,496,649`	0.001	0.999	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.000	0.999	0.000
rs6501431 lBF = `-0.0996646` Chr`17` : `68,976,415`	0.000	0.999	0.001
rs820218 lBF = `-0.0511756` Chr`17` : `73,687,495`	0.001	0.999	0.000
rs7221059 lBF = `-0.092041` Chr`17` : `74,988,444`	0.000	0.999	0.001
rs4065321 lBF = `0.345045` Chr`17` : `38,143,548`	0.000	0.999	0.001
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	0.999	0.001
rs3091316 lBF = `-0.0699381` Chr`17` : `32,593,974`	0.001	0.999	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.000	0.999	0.001
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.000	0.999	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	0.999	0.001
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	0.999	0.001
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.001	0.999	0.000
rs8076457 lBF = `-0.0365304` Chr`17` : `8,943,929`	0.000	0.999	0.001
rs820217 lBF = `-0.036926` Chr`17` : `73,688,294`	0.001	0.999	0.000
rs227731 lBF = `-0.0957209` Chr`17` : `54,773,238`	0.000	0.999	0.001
rs757608 lBF = `0.246952` Chr`17` : `59,497,277`	0.001	0.999	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.001	0.999	0.000
rs8081523 lBF = `0.0423272` Chr`17` : `76,304,510`	0.001	0.999	0.000
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.001	0.999	0.000
rs3091315 lBF = `-0.0705817` Chr`17` : `32,593,665`	0.001	0.999	0.000
rs3889237 lBF = `-0.0929532` Chr`17` : `64,779,430`	0.000	0.999	0.001
rs199501 lBF = `6.03665` Chr`17` : `44,862,613`	0.000	0.999	0.001
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.000	0.999	0.001
rs11545787 lBF = `-0.0420883` Chr`17` : `17,398,278`	0.001	0.999	0.000
rs11079160 lBF = `-0.0751658` Chr`17` : `53,404,725`	0.001	0.999	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.001	0.999	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.000	0.999	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.000	0.999	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	0.999	0.000
rs9901225 lBF = `0.0666571` Chr`17` : `40,755,811`	0.000	0.999	0.001
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.000	0.999	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.000	0.999	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.000	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.000	0.999	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.000	1.000	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.000	1.000	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.000	1.000	0.000
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Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	1.000	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.000	1.000	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.000	1.000	0.000
Affx-13926609 lBF = `8.66443` Chr`17` : `43,881,790`	0.000	1.000	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.000	1.000	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	1.000	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	1.000	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	1.000	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.000	1.000	0.000
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.000	1.000	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	1.000	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.000	1.000	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.000	1.000	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.000	1.000	0.000
rs6503526 lBF = `6.21627` Chr`17` : `38,114,598`	0.000	1.000	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.000	1.000	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.000	1.000	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.000	1.000	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	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
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	1.000	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	1.000	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	1.000	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs7206971 lBF = `-0.0210073` Chr`17` : `45,425,115`	0.000	1.000	0.000
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.000	1.000	0.000
rs623011 lBF = `-0.0326514` Chr`17` : `68,259,446`	0.000	1.000	0.000
rs2411984 lBF = `-0.0436694` Chr`17` : `47,445,751`	0.000	1.000	0.000
rs763512 lBF = `-0.0593166` Chr`17` : `35,889,531`	0.000	1.000	0.000
rs1046875 lBF = `-0.0895966` Chr`17` : `80,685,426`	0.000	1.000	0.000
rs1046896 lBF = `-0.091256` Chr`17` : `80,685,533`	0.000	1.000	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.000	1.000	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.000	1.000	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.000	1.000	0.000
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.000	1.000	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	1.000	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	0.000	1.000	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.000	1.000	0.000
rs10445308 lBF = `11.9627` Chr`17` : `37,938,047`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.000	1.000	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.000	1.000	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.000	1.000	0.000
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	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
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.000	1.000	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	1.000	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.000	1.000	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	1.000	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.000	1.000	0.000
Affx-13925359 lBF = `8.63146` Chr`17` : `43,804,619`	0.000	1.000	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.000	1.000	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.000	1.000	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.000	1.000	0.000
Affx-13928850 lBF = `7.97634` Chr`17` : `44,017,124`	0.000	1.000	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.000	1.000	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.000	1.000	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.000	1.000	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	1.000	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	1.000	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	0.000	1.000	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	1.000	0.000
rs9915657 lBF = `1.06444` Chr`17` : `70,127,536`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.000	1.000	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.000	1.000	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	1.000	0.000
rs11079830 lBF = `0.58289` Chr`17` : `46,682,630`	0.000	1.000	0.000
rs236586 lBF = `0.563867` Chr`17` : `68,203,546`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	1.000	0.000
rs6761 lBF = `0.117299` Chr`17` : `7,417,663`	0.000	1.000	0.000
rs4640244 lBF = `0.109956` Chr`17` : `21,284,223`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs9916302 lBF = `0.025262` Chr`17` : `37,499,949`	0.000	1.000	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	1.000	0.000
rs3744061 lBF = `0.0157117` Chr`17` : `74,733,403`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	1.000	0.000
rs312691 lBF = `-0.00062114` Chr`17` : `68,326,338`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.6692

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3060

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9948

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9841

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9796

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9770

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9764

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9725

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9691

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9666

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9656

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9605

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9298

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9227

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9157

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8899

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8873

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8711

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8614

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8582

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8574

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8561

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8529

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8457

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8449

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8437

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8403

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8371

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8069

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7987

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7959

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7633

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7580

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7418

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7229

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7206

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7159

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7140

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6992

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6810

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6586

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6386

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6306

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6236

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6130

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5562

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4996

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4816

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4304

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4243

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4223

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4159

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3497

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2962

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1808

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1233

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1171

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1099

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1086

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0678

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0630

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0555

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0535

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`)