TreeWAS – [J40-J47] Chronic lower respiratory diseases

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
rs6927022 lBF = `550.507` Chr`6` : `32,612,397`	1.000	0.000	0.000
rs532965 lBF = `522.853` Chr`6` : `32,577,973`	1.000	0.000	0.000
rs34250758 lBF = `518.249` Chr`6` : `32,607,376`	1.000	0.000	0.000
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	1.000	0.000	0.000
rs3104413 lBF = `510.724` Chr`6` : `32,582,650`	1.000	0.000	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	1.000	0.000	0.000
rs521539 lBF = `478.456` Chr`6` : `32,581,973`	1.000	0.000	0.000
rs660895 lBF = `476.437` Chr`6` : `32,577,380`	1.000	0.000	0.000
rs9268515 lBF = `390.149` Chr`6` : `32,379,295`	1.000	0.000	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	1.000	0.000	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	1.000	0.000	0.000
rs9268614 lBF = `379.521` Chr`6` : `32,402,778`	1.000	0.000	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	1.000	0.000	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	1.000	0.000	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	1.000	0.000	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	1.000	0.000	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	1.000	0.000	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	1.000	0.000	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	1.000	0.000	0.000
rs2395163 lBF = `377.046` Chr`6` : `32,387,809`	1.000	0.000	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	1.000	0.000	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	1.000	0.000	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	1.000	0.000	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	1.000	0.000	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	1.000	0.000	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	1.000	0.000	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	1.000	0.000	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	1.000	0.000	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	1.000	0.000	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	1.000	0.000	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	1.000	0.000	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	1.000	0.000	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	1.000	0.000	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	1.000	0.000	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	1.000	0.000	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	1.000	0.000	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	1.000	0.000	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	1.000	0.000	0.000
rs9275602 lBF = `368.479` Chr`6` : `32,682,812`	1.000	0.000	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	1.000	0.000	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	1.000	0.000	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	1.000	0.000	0.000
rs28361060 lBF = `366.643` Chr`6` : `32,303,848`	1.000	0.000	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	1.000	0.000	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	1.000	0.000	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	1.000	0.000	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	1.000	0.000	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	1.000	0.000	0.000
rs6910071 lBF = `365.296` Chr`6` : `32,282,854`	1.000	0.000	0.000
rs9268362 lBF = `364.835` Chr`6` : `32,333,341`	1.000	0.000	0.000
rs3763309 lBF = `364.621` Chr`6` : `32,375,973`	1.000	0.000	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	1.000	0.000	0.000
rs3793127 lBF = `363.437` Chr`6` : `32,371,915`	1.000	0.000	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	1.000	0.000	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	1.000	0.000	0.000
rs3763312 lBF = `361.447` Chr`6` : `32,376,348`	1.000	0.000	0.000
rs9268145 lBF = `359.052` Chr`6` : `32,257,284`	1.000	0.000	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	1.000	0.000	0.000
rs3129871 lBF = `356.615` Chr`6` : `32,406,342`	0.000	0.000	1.000
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	1.000	0.000	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	1.000	0.000	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	1.000	0.000	0.000
rs2855812 lBF = `350.197` Chr`6` : `31,472,720`	1.000	0.000	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	1.000	0.000	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	1.000	0.000	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	1.000	0.000	0.000
rs6916742 lBF = `323.838` Chr`6` : `32,453,191`	1.000	0.000	0.000
rs3135395 lBF = `306.183` Chr`6` : `32,405,192`	0.000	0.000	1.000
Affx-28475675 lBF = `305.306` Chr`6` : `32,429,594`	0.000	0.000	1.000
rs3135335 lBF = `304.942` Chr`6` : `32,401,845`	0.000	0.000	1.000
rs9268877 lBF = `301.004` Chr`6` : `32,431,147`	0.000	0.000	1.000
rs984778 lBF = `300.859` Chr`6` : `32,400,088`	0.000	0.000	1.000
rs5026743 lBF = `300.008` Chr`6` : `32,439,964`	0.000	0.000	1.000
rs3135338 lBF = `297.666` Chr`6` : `32,401,217`	0.000	0.000	1.000
rs3129867 lBF = `289.989` Chr`6` : `32,404,220`	0.000	0.000	1.000
rs3129882 lBF = `286.214` Chr`6` : `32,409,530`	0.000	0.000	1.000
rs7453498 lBF = `257.298` Chr`6` : `32,446,717`	1.000	0.000	0.000
rs6903608 lBF = `251.273` Chr`6` : `32,428,285`	0.000	0.000	1.000
rs6923504 lBF = `250.735` Chr`6` : `32,428,186`	0.000	0.000	1.000
rs9269081 lBF = `250.357` Chr`6` : `32,441,100`	0.000	0.000	1.000
rs9268633 lBF = `244.242` Chr`6` : `32,406,473`	0.000	0.000	1.000
rs9270984 lBF = `225.558` Chr`6` : `32,573,991`	1.000	0.000	0.000
rs9271640 lBF = `222.488` Chr`6` : `32,592,200`	1.000	0.000	0.000
rs9269910 lBF = `215.553` Chr`6` : `32,551,350`	0.000	0.000	1.000
rs9269797 lBF = `215.504` Chr`6` : `32,549,284`	0.000	0.000	1.000
rs116370429 lBF = `214.072` Chr`6` : `32,489,214`	0.000	0.000	1.000
rs9270986 lBF = `214.036` Chr`6` : `32,574,060`	0.000	0.000	1.000
rs36183131 lBF = `213.963` Chr`6` : `32,522,401`	0.000	0.000	1.000
rs9270022 lBF = `213.905` Chr`6` : `32,553,142`	0.000	0.000	1.000
rs9270090 lBF = `213.685` Chr`6` : `32,554,386`	0.000	0.000	1.000
rs71549251 lBF = `213.605` Chr`6` : `32,501,574`	0.000	0.000	1.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.000	1.000
rs36192217 lBF = `213.352` Chr`6` : `32,522,339`	0.000	0.000	1.000
rs9269878 lBF = `212.626` Chr`6` : `32,550,876`	0.000	0.000	1.000
rs1064694 lBF = `211.171` Chr`6` : `32,546,838`	0.000	0.000	1.000
rs9270074 lBF = `210.793` Chr`6` : `32,554,129`	0.000	0.000	1.000
Affx-52341719 lBF = `201.372` Chr`6` : `32,552,146`	0.000	0.000	1.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	1.000	0.000	0.000
rs7745656 lBF = `113.272` Chr`6` : `32,680,970`	0.000	0.000	1.000
Affx-28502467 lBF = `110.795` Chr`6` : `32,681,645`	0.000	0.000	1.000
rs8283 lBF = `104.518` Chr`6` : `32,083,300`	0.000	0.000	1.000
rs59440261 lBF = `89.4301` Chr`6` : `31,371,071`	0.000	0.000	1.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	1.000	0.000	0.000
rs3093668 lBF = `82.8967` Chr`6` : `31,546,495`	0.000	0.000	1.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.000	0.000	1.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.000	0.000	1.000
rs6906662 lBF = `78.7971` Chr`6` : `32,266,506`	0.000	0.000	1.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.000	0.000	1.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	0.000	0.000	1.000
rs2295663 lBF = `77.8075` Chr`6` : `31,669,295`	0.000	0.000	1.000
rs28732150 lBF = `77.4159` Chr`6` : `31,583,224`	0.000	0.000	1.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.000	0.000	1.000
rs9378200 lBF = `76.8929` Chr`6` : `31,572,927`	0.000	0.000	1.000
rs9348876 lBF = `71.6856` Chr`6` : `31,575,276`	0.000	0.000	1.000
rs6916062 lBF = `69.9973` Chr`6` : `32,219,041`	0.000	0.000	1.000
rs28732193 lBF = `69.6869` Chr`6` : `32,306,922`	0.000	0.000	1.000
rs8192591 lBF = `69.5055` Chr`6` : `32,185,796`	0.000	0.000	1.000
rs28895243 lBF = `68.4375` Chr`6` : `32,443,799`	0.000	0.000	1.000
rs28732236 lBF = `68.0491` Chr`6` : `32,430,976`	0.000	0.000	1.000
rs28732233 lBF = `67.2768` Chr`6` : `32,427,699`	0.000	0.000	1.000
rs28732201 lBF = `63.8841` Chr`6` : `32,350,454`	0.000	0.000	1.000
rs3134929 lBF = `63.0586` Chr`6` : `32,192,107`	0.000	0.000	1.000
rs4151664 lBF = `61.8333` Chr`6` : `31,920,873`	0.000	0.000	1.000
rs9501624 lBF = `61.2049` Chr`6` : `32,399,286`	0.000	0.000	1.000
rs8192583 lBF = `58.0993` Chr`6` : `32,163,274`	0.000	0.000	1.000
rs6907458 lBF = `57.9908` Chr`6` : `32,171,288`	0.000	0.000	1.000
rs3093553 lBF = `57.9449` Chr`6` : `31,549,556`	0.000	0.000	1.000
rs8192579 lBF = `55.7891` Chr`6` : `32,163,799`	0.000	0.000	1.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	1.000	0.000	0.000
rs7356880 lBF = `52.8273` Chr`6` : `32,401,327`	0.000	0.000	1.000
rs419132 lBF = `39.1504` Chr`6` : `32,210,799`	0.000	0.000	1.000
rs382259 lBF = `31.1556` Chr`6` : `32,209,027`	0.000	0.000	1.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	1.000	0.000	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	1.000	0.000	0.000
rs2589559 lBF = `22.2778` Chr`10` : `9,061,370`	1.000	0.000	0.000
rs6922431 lBF = `22.0345` Chr`6` : `31,465,030`	0.000	0.000	1.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	1.000	0.000	0.000
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	0.000	1.000
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	0.000	1.000
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	0.000	0.000	1.000
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	0.000	1.000
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	0.000	1.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	0.000	1.000
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	0.000	1.000
rs7169584 lBF = `19.7428` Chr`15` : `78,822,660`	0.000	0.000	1.000
rs7181447 lBF = `19.7385` Chr`15` : `78,814,567`	0.000	0.000	1.000
rs7181245 lBF = `19.7337` Chr`15` : `78,814,389`	0.000	0.000	1.000
rs2036534 lBF = `19.5552` Chr`15` : `78,826,948`	0.000	0.000	1.000
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.000	0.000	1.000
rs12441354 lBF = `19.2446` Chr`15` : `78,821,016`	0.000	0.000	1.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	1.000	0.000	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	1.000	0.000	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	1.000	0.000	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	1.000	0.000	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	1.000	0.000	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	1.000	0.000	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	1.000	0.000	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	1.000	0.000	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	1.000	0.000	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	1.000	0.000	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	1.000	0.000	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	1.000	0.000	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	1.000	0.000	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	1.000	0.000	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	1.000	0.000	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	1.000	0.000	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	1.000	0.000	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	1.000	0.000	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	1.000	0.000	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	1.000	0.000	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	1.000	0.000	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	1.000	0.000	0.000
rs9272226 lBF = `235.986` Chr`6` : `32,602,396`	1.000	0.000	0.000
rs66723041 lBF = `214.427` Chr`6` : `32,520,707`	0.000	0.000	1.000
rs9269911 lBF = `213.873` Chr`6` : `32,551,382`	0.000	0.000	1.000
rs2050188 lBF = `209.683` Chr`6` : `32,339,897`	0.000	0.000	1.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	1.000	0.000	0.000
rs2858333 lBF = `114.203` Chr`6` : `32,681,085`	0.000	0.000	1.000
rs2647089 lBF = `113.847` Chr`6` : `32,681,568`	0.000	0.000	1.000
rs6935723 lBF = `113.539` Chr`6` : `32,681,669`	0.000	0.000	1.000
rs2647087 lBF = `113.528` Chr`6` : `32,681,049`	0.000	0.000	1.000
rs2395029 lBF = `87.593` Chr`6` : `31,431,780`	0.000	0.000	1.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.000	0.000	1.000
rs41293883 lBF = `81.8257` Chr`6` : `31,474,820`	0.000	0.000	1.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.000	0.000	1.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.000	0.000	1.000
rs3830041 lBF = `56.9619` Chr`6` : `32,191,339`	0.000	0.000	1.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	1.000	0.000	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	1.000	0.000	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	1.000	0.000	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	1.000	0.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	1.000	0.000	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	1.000	0.000	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	1.000	0.000	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	1.000	0.000	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	1.000	0.000	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	1.000	0.000	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	1.000	0.000	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	1.000	0.000	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	1.000	0.000	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	1.000	0.000	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	1.000	0.000	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	1.000	0.000	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	1.000	0.000	0.000
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	0.000	1.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	0.000	1.000
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.000	0.000	1.000
rs34664138 lBF = `18.8882` Chr`15` : `78,831,624`	0.000	0.000	1.000
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rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	1.000	0.000	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	1.000	0.000	0.000
rs6537293 lBF = `12.0559` Chr`4` : `145,479,761`	0.000	0.000	1.000
rs6831503 lBF = `11.7437` Chr`4` : `145,471,945`	0.000	0.000	1.000
rs6842889 lBF = `11.5781` Chr`4` : `145,479,880`	0.000	0.000	1.000
rs1489760 lBF = `11.2858` Chr`4` : `145,474,297`	0.000	0.000	1.000
Affx-37072023 lBF = `455.451` Chr`6` : `32,612,430`	0.000	0.000	1.000
rs2395153 lBF = `236.625` Chr`6` : `32,345,595`	1.000	0.000	0.000
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	0.000	1.000
rs1980057 lBF = `11.9589` Chr`4` : `145,485,738`	0.000	0.000	1.000
rs11100860 lBF = `11.6988` Chr`4` : `145,479,139`	0.000	0.000	1.000
rs6830832 lBF = `11.6972` Chr`4` : `145,465,491`	0.000	0.000	1.000
rs2130339 lBF = `11.6972` Chr`4` : `145,464,885`	0.000	0.000	1.000
rs28626624 lBF = `11.3661` Chr`4` : `145,482,243`	0.000	0.000	1.000
rs1565330 lBF = `11.3661` Chr`4` : `145,482,547`	0.000	0.000	1.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	1.000	0.000	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	1.000	0.000	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	1.000	0.000	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	1.000	0.000	0.000
rs114112990 lBF = `28.3835` Chr`1` : `1,334,519`	1.000	0.000	0.000
rs6537291 lBF = `11.5752` Chr`4` : `145,464,074`	0.000	0.000	1.000
rs17293632 lBF = `21.6143` Chr`15` : `67,442,596`	1.000	0.000	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	1.000	0.000	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	1.000	0.000	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	1.000	0.000	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	1.000	0.000	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	1.000	0.000	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	1.000	0.000	0.000
rs6833979 lBF = `10.7377` Chr`4` : `145,463,521`	0.000	0.000	1.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	1.000	0.000	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	1.000	0.000	0.000
rs3104404 lBF = `90.8672` Chr`6` : `32,682,174`	0.000	0.000	1.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	1.000	0.000	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	1.000	0.000	0.000
rs6495308 lBF = `18.9316` Chr`15` : `78,907,656`	0.000	0.000	1.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	1.000	0.000	0.000
rs3129883 lBF = `273.029` Chr`6` : `32,410,137`	0.000	0.000	1.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	1.000	0.000	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	1.000	0.000	0.000
rs138641402 lBF = `11.6358` Chr`4` : `145,445,779`	0.000	0.000	1.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	1.000	0.000	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	1.000	0.000	0.000
rs1512281 lBF = `12.3587` Chr`4` : `145,434,901`	0.000	0.000	1.000
rs12511230 lBF = `11.1715` Chr`4` : `145,471,245`	0.000	0.000	1.000
rs11637656 lBF = `23.7386` Chr`15` : `78,751,961`	1.000	0.000	0.000
rs9303277 lBF = `12.9966` Chr`17` : `37,976,469`	1.000	0.000	0.000
rs7697189 lBF = `11.1133` Chr`4` : `145,436,894`	0.000	0.000	1.000
rs6817238 lBF = `10.5254` Chr`4` : `145,463,533`	0.000	0.000	1.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	1.000	0.000	0.000
rs9271060 lBF = `261.575` Chr`6` : `32,575,513`	1.000	0.000	0.000
rs115360810 lBF = `28.1258` Chr`6` : `32,796,310`	1.000	0.000	0.000
rs12916801 lBF = `23.5612` Chr`15` : `78,769,130`	1.000	0.000	0.000
rs8043227 lBF = `23.5612` Chr`15` : `78,768,871`	1.000	0.000	0.000
rs12593229 lBF = `23.234` Chr`15` : `78,765,290`	1.000	0.000	0.000
rs12504628 lBF = `10.4545` Chr`4` : `145,436,324`	0.000	0.000	1.000
rs9271192 lBF = `261.325` Chr`6` : `32,578,530`	1.000	0.000	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	1.000	0.000	0.000
rs12910910 lBF = `23.6547` Chr`15` : `78,767,850`	1.000	0.000	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	1.000	0.000	0.000
rs3129886 lBF = `272.418` Chr`6` : `32,410,576`	0.000	0.000	1.000
rs28383172 lBF = `102.266` Chr`6` : `32,565,979`	0.000	0.000	1.000
rs7748494 lBF = `20.1356` Chr`6` : `32,448,808`	0.000	0.000	1.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	1.000	0.000	0.000
rs9268923 lBF = `248.283` Chr`6` : `32,432,835`	0.999	0.001	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.999	0.001	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.999	0.001	0.000
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.000	0.001	0.999
rs113603971 lBF = `11.41` Chr`10` : `13,850,836`	0.999	0.001	0.000
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	0.000	0.001	0.999
rs9271100 lBF = `261.675` Chr`6` : `32,576,478`	0.999	0.001	0.000
rs9270908 lBF = `254.18` Chr`6` : `32,572,148`	0.000	0.001	0.999
rs2395185 lBF = `246.003` Chr`6` : `32,433,167`	0.999	0.001	0.000
rs3129868 lBF = `211.674` Chr`6` : `32,404,377`	0.000	0.001	0.999
rs34562262 lBF = `78.2871` Chr`6` : `32,020,961`	0.999	0.001	0.000
rs194679 lBF = `20.8093` Chr`6` : `32,891,338`	0.999	0.001	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.999	0.001	0.000
rs28383271 lBF = `95.9012` Chr`6` : `32,586,134`	0.000	0.001	0.999
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.999	0.001	0.000
rs9271367 lBF = `258.737` Chr`6` : `32,586,908`	0.000	0.001	0.999
rs28732101 lBF = `101.501` Chr`6` : `31,106,302`	0.000	0.001	0.999
rs28584179 lBF = `81.4202` Chr`6` : `32,626,119`	0.000	0.001	0.999
rs8042374 lBF = `18.7395` Chr`15` : `78,908,032`	0.000	0.001	0.999
rs8042059 lBF = `18.7395` Chr`15` : `78,907,859`	0.000	0.001	0.999
rs8042494 lBF = `18.6762` Chr`15` : `78,908,010`	0.000	0.001	0.999
rs115247800 lBF = `26.4799` Chr`6` : `31,606,813`	0.999	0.001	0.000
rs8192477 lBF = `10.322` Chr`15` : `78,910,463`	0.000	0.001	0.999
rs9270227 lBF = `253.321` Chr`6` : `32,556,699`	0.000	0.001	0.999
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.999	0.001	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 X0282

log Bayes Factor = 38.0098

contains 3 variants

0.9993

Cluster X0216

log Bayes Factor = 162.135

contains 6 variants

0.9645

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7540

Cluster X0260

log Bayes Factor = 16.5601

contains 2 variants

0.7447

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

1.0000

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

1.0000

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

1.0000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

1.0000

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

1.0000

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

1.0000

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

1.0000

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

1.0000

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

1.0000

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

1.0000

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

1.0000

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

1.0000

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

1.0000

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

1.0000

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

1.0000

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

1.0000

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

1.0000

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

1.0000

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

1.0000

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

1.0000

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

1.0000

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

1.0000

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9998

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9996

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9995

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9995

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9994

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9993

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9991

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9989

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9986

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.9976

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9974

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9947

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9849

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9824

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9812

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9755

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9743

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9738

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.9712

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9622

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9512

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9298

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9260

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9193

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9145

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9098

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9079

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9074

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9074

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8921

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8789

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8528

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8413

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8320

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8206

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7983

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7957

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7931

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7854

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7750

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7338

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7238

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7171

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7025

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6943

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6882

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6516

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6497

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6445

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5879

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5603

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5462

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4929

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4651

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4313

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4195

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3900

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3799

Cluster X0215

log Bayes Factor = 82.541

contains 5 variants

0.3766

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3714

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3550

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3413

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3243

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3089

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2992

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2841

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2799

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2702

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2481

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2461

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2459

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1978

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1360

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1257

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1165

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1082

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1079

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1060

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0989

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0956

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0941

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0927

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0879

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0842

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0760

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0707

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0685

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0646

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0610

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0573

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0532

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0518

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	Chapter X Diseases of the respiratory system
Nested terms	J40 Bronchitis, not specified as acute or chronic J42 Unspecified chronic bronchitis J46 Status asthmaticus J47 Bronchiectasis J41 Simple and mucopurulent chronic bronchitis J43 Emphysema J44 Other chronic obstructive pulmonary disease J45 Asthma

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`)