TreeWAS – [R06] Abnormalities of breathing

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
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.942	0.058	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.891	0.109	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.877	0.123	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.808	0.192	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.775	0.225	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.766	0.234	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.718	0.282	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.693	0.307	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.683	0.317	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.679	0.321	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.573	0.427	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.483	0.517	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.461	0.538	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.439	0.561	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.417	0.583	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.413	0.587	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.379	0.621	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.377	0.623	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.364	0.636	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.356	0.644	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.318	0.681	0.001
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.288	0.712	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.277	0.723	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.227	0.773	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.197	0.802	0.001
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.187	0.813	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.162	0.838	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.153	0.847	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.150	0.850	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.141	0.859	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.096	0.904	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.089	0.911	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.086	0.914	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.083	0.917	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.081	0.919	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.075	0.925	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.071	0.929	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.068	0.932	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.063	0.937	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.063	0.937	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.053	0.947	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.052	0.948	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.050	0.950	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.048	0.952	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.043	0.957	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.039	0.961	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.036	0.964	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.036	0.964	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.036	0.964	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.034	0.966	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.033	0.967	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.022	0.975	0.003
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.024	0.976	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.024	0.976	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.023	0.977	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.023	0.977	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.020	0.980	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.018	0.981	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.018	0.982	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.018	0.982	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.017	0.983	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.013	0.986	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.012	0.988	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.012	0.988	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.011	0.989	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.011	0.989	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.011	0.989	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.011	0.989	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.010	0.990	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.010	0.990	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.009	0.991	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.009	0.991	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.008	0.992	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.008	0.992	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.006	0.994	0.000
rs199498 lBF = `4.33325` Chr`17` : `44,865,603`	0.006	0.994	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.006	0.994	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.006	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.994	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.006	0.994	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.005	0.995	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.000	0.995	0.005
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.005	0.995	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.005	0.995	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.004	0.995	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.004	0.996	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.003	0.997	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.003	0.997	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.997	0.003
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.002	0.998	0.000
Affx-13922976 lBF = `5.36343` Chr`17` : `43,659,975`	0.002	0.998	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.002	0.998	0.000
rs728478 lBF = `-0.120974` Chr`17` : `57,466,504`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.002	0.998	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.002	0.998	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.002	0.998	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	0.998	0.002
rs2074404 lBF = `1.63065` Chr`17` : `44,865,439`	0.002	0.998	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.002	0.998	0.000
rs2271316 lBF = `-0.0721074` Chr`17` : `6,915,401`	0.002	0.998	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.002	0.998	0.000
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	0.998	0.002
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.001	0.999	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.001	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.000	0.999	0.001
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.001	0.999	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.001	0.999	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.001	0.999	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.001	0.999	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.001	0.999	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.001	0.999	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.001	0.999	0.000
rs415430 lBF = `3.99129` Chr`17` : `44,859,144`	0.000	0.999	0.001
rs199515 lBF = `3.83286` Chr`17` : `44,856,641`	0.000	0.999	0.001
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
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
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
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs1994969 lBF = `-0.0480495` Chr`17` : `47,080,431`	0.000	0.999	0.001
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	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
rs17857135 lBF = `-0.0487206` Chr`17` : `78,262,161`	0.000	0.999	0.001
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.001	0.999	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.001	0.999	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.001	0.999	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.001	0.999	0.000
rs2019872 lBF = `0.117668` Chr`17` : `2,010,318`	0.001	0.999	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.000	0.999	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.001	0.999	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.001	0.999	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.001	0.999	0.000
rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.001	0.999	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.001	0.999	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.000	0.999	0.001
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.001	0.999	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.001	0.999	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.001	0.999	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.001	0.999	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.001	0.999	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.000	0.999	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	0.999	0.001
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.000	1.000	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.000	1.000	0.000
rs4789580 lBF = `-0.0584139` Chr`17` : `76,311,991`	0.000	1.000	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.000	1.000	0.000
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	1.000	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.000	1.000	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.000	1.000	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.000	1.000	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	1.000	0.000
rs820218 lBF = `-0.0511756` Chr`17` : `73,687,495`	0.000	1.000	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.000	1.000	0.000
rs820217 lBF = `-0.036926` Chr`17` : `73,688,294`	0.000	1.000	0.000
rs8079702 lBF = `-0.0689908` Chr`17` : `68,190,826`	0.000	1.000	0.000
rs199501 lBF = `6.03665` Chr`17` : `44,862,613`	0.000	1.000	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.000	1.000	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.000	1.000	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.000	1.000	0.000
rs7210086 lBF = `-0.0844228` Chr`17` : `70,641,698`	0.000	1.000	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.000	1.000	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.000	1.000	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	1.000	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	1.000	0.000
rs12600635 lBF = `-0.0486726` Chr`17` : `17,142,896`	0.000	1.000	0.000
rs17780256 lBF = `-0.0818525` Chr`17` : `70,642,923`	0.000	1.000	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.000	1.000	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.000	1.000	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	1.000	0.000
rs16970672 lBF = `-0.0496285` Chr`17` : `75,944,650`	0.000	1.000	0.000
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rs6761 lBF = `0.117299` Chr`17` : `7,417,663`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.000	1.000	0.000
rs7223966 lBF = `0.0594609` Chr`17` : `61,893,398`	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
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs4617927 lBF = `0.0387266` Chr`17` : `53,356,126`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	1.000	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	1.000	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	1.000	0.000
rs12936361 lBF = `0.00462479` Chr`17` : `68,108,417`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs4006360 lBF = `0.00360154` Chr`17` : `39,250,639`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs11870068 lBF = `0.00034915` Chr`17` : `65,944,515`	0.000	1.000	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs2935183 lBF = `-0.018225` Chr`17` : `45,607,572`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	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
rs8072100 lBF = `-0.0332638` Chr`17` : `45,674,687`	0.000	1.000	0.000
rs2075555 lBF = `-0.0425031` Chr`17` : `48,274,291`	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
rs929474 lBF = `-0.0507548` Chr`17` : `68,724,036`	0.000	1.000	0.000
rs758642 lBF = `-0.0545184` Chr`17` : `3,786,907`	0.000	1.000	0.000
rs9914544 lBF = `-0.0571571` Chr`17` : `18,787,828`	0.000	1.000	0.000
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	0.000	1.000	0.000
rs3091316 lBF = `-0.0699381` Chr`17` : `32,593,974`	0.000	1.000	0.000
rs3091315 lBF = `-0.0705817` Chr`17` : `32,593,665`	0.000	1.000	0.000
rs7210837 lBF = `-0.0787942` Chr`17` : `16,764,978`	0.000	1.000	0.000
rs9891572 lBF = `-0.0887405` Chr`17` : `2,428,508`	0.000	1.000	0.000
rs4795519 lBF = `-0.0896733` Chr`17` : `25,541,278`	0.000	1.000	0.000
rs10775360 lBF = `-0.108353` Chr`17` : `68,325,868`	0.000	1.000	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.000	1.000	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.000	1.000	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.000	1.000	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.000	1.000	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	1.000	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.000	1.000	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	1.000	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.000	1.000	0.000
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs11657044 lBF = `0.832578` Chr`17` : `59,450,105`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs6504218 lBF = `0.518288` Chr`17` : `62,408,299`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.000	1.000	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.000	1.000	0.000
rs12938078 lBF = `0.273225` Chr`17` : `55,743,277`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs2665838 lBF = `0.106499` Chr`17` : `61,966,465`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs9908102 lBF = `0.0664821` Chr`17` : `12,896,553`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs9299 lBF = `0.0624181` Chr`17` : `46,669,430`	0.000	1.000	0.000
rs559972 lBF = `0.05985` Chr`17` : `27,814,496`	0.000	1.000	0.000
rs9900280 lBF = `0.0517773` Chr`17` : `27,769,598`	0.000	1.000	0.000
rs12051723 lBF = `0.048562` Chr`17` : `78,324,259`	0.000	1.000	0.000
rs4986044 lBF = `0.0407517` Chr`17` : `21,261,560`	0.000	1.000	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs72823592 lBF = `0.0220647` Chr`17` : `46,123,004`	0.000	1.000	0.000
rs6502557 lBF = `0.0196252` Chr`17` : `16,960,978`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	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
rs7224314 lBF = `0.00627329` Chr`17` : `65,386,214`	0.000	1.000	0.000
rs7216064 lBF = `0.00201617` Chr`17` : `65,898,809`	0.000	1.000	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	1.000	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs4796285 lBF = `-0.00752796` Chr`17` : `35,181,996`	0.000	1.000	0.000
rs9303401 lBF = `-0.0139074` Chr`17` : `56,847,945`	0.000	1.000	0.000
rs7224610 lBF = `-0.0163906` Chr`17` : `53,364,788`	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

0.4797

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9999

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9999

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9999

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9999

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9997

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9996

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9995

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9985

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9983

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9982

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9963

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9916

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9900

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9884

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9883

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9883

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9878

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9819

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9745

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9722

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9712

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9557

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9526

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9458

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9350

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9348

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9257

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8901

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8837

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8715

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8639

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8408

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8161

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7978

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7713

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7368

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7220

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7091

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7014

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6820

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6346

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6310

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6160

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6039

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5714

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5337

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4991

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4627

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4114

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3617

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3103

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3051

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2797

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2707

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2626

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2557

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2468

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2372

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2293

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2240

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2214

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2059

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2010

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1998

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1894

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1893

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1806

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1480

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1419

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1400

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1311

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1184

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1081

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1043

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1027

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0950

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0857

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0831

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0787

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0635

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0632

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0606

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0553

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0547

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.

Parent term	R00-R09 Symptoms and signs involving the circulatory and respiratory systems
Nested terms	R06.0 Dyspnoea R06.1 Stridor R06.2 Wheezing R06.3 Periodic breathing R06.4 Hyperventilation R06.5 Mouth breathing R06.6 Hiccough R06.7 Sneezing R06.8 Other and unspecified abnormalities of breathing

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`)