Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study
<p>Abstract</p> <p>Background</p> <p>Although smoking behavior is known to affect body mass index (BMI), the potential for smoking to influence genetic associations with BMI is largely unexplored.</p> <p>Methods</p> <p>As part of the ‘Population...
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doaj-531a4ec011504df59a47cfb630df69822021-04-02T05:52:52ZengBMCBMC Medical Genetics1471-23502013-01-01141610.1186/1471-2350-14-6Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology studyFesinmeyer Megan DNorth Kari ELim UnheeBůžková PetraCrawford Dana CHaessler JeffreyGross Myron DFowke Jay HGoodloe RobertLove Shelley-AnnGraff MisaCarlson Christopher SKuller Lewis HMatise Tara CHong Ching-PingHenderson Brian EAllen MelissaRohde Rebecca RMayo PingSchnetz-Boutaud NathalieMonroe Kristine RRitchie Marylyn DPrentice Ross LKolonel Lawrence NManson JoAnn EPankow JamesHindorff Lucia AFranceschini NoraWilkens Lynne RHaiman Christopher ALe Marchand LoicPeters Ulrike<p>Abstract</p> <p>Background</p> <p>Although smoking behavior is known to affect body mass index (BMI), the potential for smoking to influence genetic associations with BMI is largely unexplored.</p> <p>Methods</p> <p>As part of the ‘Population Architecture using Genomics and Epidemiology (PAGE)’ Consortium, we investigated interaction between genetic risk factors associated with BMI and smoking for 10 single nucleotide polymorphisms (SNPs) previously identified in genome-wide association studies. We included 6 studies with a total of 56,466 subjects (16,750 African Americans (AA) and 39,716 European Americans (EA)). We assessed effect modification by testing an interaction term for each SNP and smoking (current vs. former/never) in the linear regression and by stratified analyses.</p> <p>Results</p> <p>We did not observe strong evidence for interactions and only observed two interactions with p-values <0.1: for rs6548238/<it>TMEM18</it>, the risk allele (C) was associated with BMI only among AA females who were former/never smokers (β = 0.018, p = 0.002), vs. current smokers (β = 0.001, p = 0.95, p<sub>interaction</sub> = 0.10). For rs9939609/<it>FTO</it>, the A allele was more strongly associated with BMI among current smoker EA females (β = 0.017, p = 3.5x10<sup>-5</sup>), vs. former/never smokers (β = 0.006, p = 0.05, p<sub>interaction</sub> = 0.08).</p> <p>Conclusions</p> <p>These analyses provide limited evidence that smoking status may modify genetic effects of previously identified genetic risk factors for BMI. Larger studies are needed to follow up our results.</p> <p>Clinical Trial Registration</p> <p>NCT00000611</p> http://www.biomedcentral.com/1471-2350/14/6ObesityBody mass indexGenome-wide association studyGenetic risk factorSmoking interactionsGenetic epidemiology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fesinmeyer Megan D North Kari E Lim Unhee Bůžková Petra Crawford Dana C Haessler Jeffrey Gross Myron D Fowke Jay H Goodloe Robert Love Shelley-Ann Graff Misa Carlson Christopher S Kuller Lewis H Matise Tara C Hong Ching-Ping Henderson Brian E Allen Melissa Rohde Rebecca R Mayo Ping Schnetz-Boutaud Nathalie Monroe Kristine R Ritchie Marylyn D Prentice Ross L Kolonel Lawrence N Manson JoAnn E Pankow James Hindorff Lucia A Franceschini Nora Wilkens Lynne R Haiman Christopher A Le Marchand Loic Peters Ulrike |
spellingShingle |
Fesinmeyer Megan D North Kari E Lim Unhee Bůžková Petra Crawford Dana C Haessler Jeffrey Gross Myron D Fowke Jay H Goodloe Robert Love Shelley-Ann Graff Misa Carlson Christopher S Kuller Lewis H Matise Tara C Hong Ching-Ping Henderson Brian E Allen Melissa Rohde Rebecca R Mayo Ping Schnetz-Boutaud Nathalie Monroe Kristine R Ritchie Marylyn D Prentice Ross L Kolonel Lawrence N Manson JoAnn E Pankow James Hindorff Lucia A Franceschini Nora Wilkens Lynne R Haiman Christopher A Le Marchand Loic Peters Ulrike Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study BMC Medical Genetics Obesity Body mass index Genome-wide association study Genetic risk factor Smoking interactions Genetic epidemiology |
author_facet |
Fesinmeyer Megan D North Kari E Lim Unhee Bůžková Petra Crawford Dana C Haessler Jeffrey Gross Myron D Fowke Jay H Goodloe Robert Love Shelley-Ann Graff Misa Carlson Christopher S Kuller Lewis H Matise Tara C Hong Ching-Ping Henderson Brian E Allen Melissa Rohde Rebecca R Mayo Ping Schnetz-Boutaud Nathalie Monroe Kristine R Ritchie Marylyn D Prentice Ross L Kolonel Lawrence N Manson JoAnn E Pankow James Hindorff Lucia A Franceschini Nora Wilkens Lynne R Haiman Christopher A Le Marchand Loic Peters Ulrike |
author_sort |
Fesinmeyer Megan D |
title |
Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study |
title_short |
Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study |
title_full |
Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study |
title_fullStr |
Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study |
title_full_unstemmed |
Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study |
title_sort |
effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study |
publisher |
BMC |
series |
BMC Medical Genetics |
issn |
1471-2350 |
publishDate |
2013-01-01 |
description |
<p>Abstract</p> <p>Background</p> <p>Although smoking behavior is known to affect body mass index (BMI), the potential for smoking to influence genetic associations with BMI is largely unexplored.</p> <p>Methods</p> <p>As part of the ‘Population Architecture using Genomics and Epidemiology (PAGE)’ Consortium, we investigated interaction between genetic risk factors associated with BMI and smoking for 10 single nucleotide polymorphisms (SNPs) previously identified in genome-wide association studies. We included 6 studies with a total of 56,466 subjects (16,750 African Americans (AA) and 39,716 European Americans (EA)). We assessed effect modification by testing an interaction term for each SNP and smoking (current vs. former/never) in the linear regression and by stratified analyses.</p> <p>Results</p> <p>We did not observe strong evidence for interactions and only observed two interactions with p-values <0.1: for rs6548238/<it>TMEM18</it>, the risk allele (C) was associated with BMI only among AA females who were former/never smokers (β = 0.018, p = 0.002), vs. current smokers (β = 0.001, p = 0.95, p<sub>interaction</sub> = 0.10). For rs9939609/<it>FTO</it>, the A allele was more strongly associated with BMI among current smoker EA females (β = 0.017, p = 3.5x10<sup>-5</sup>), vs. former/never smokers (β = 0.006, p = 0.05, p<sub>interaction</sub> = 0.08).</p> <p>Conclusions</p> <p>These analyses provide limited evidence that smoking status may modify genetic effects of previously identified genetic risk factors for BMI. Larger studies are needed to follow up our results.</p> <p>Clinical Trial Registration</p> <p>NCT00000611</p> |
topic |
Obesity Body mass index Genome-wide association study Genetic risk factor Smoking interactions Genetic epidemiology |
url |
http://www.biomedcentral.com/1471-2350/14/6 |
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