No evidence of interaction between known lipid-associated genetic variants and smoking in the multi-ethnic PAGE population. Dumitrescu, L., Carty, C. L., Franceschini, N., Hindorff, L. A., Cole, S. A., Bůžková, P., Schumacher, F. R., Eaton, C. B., Goodloe, R. J., Duggan, D. J., Haessler, J., Cochran, B., Henderson, B. E., Cheng, I., Johnson, K. C., Carlson, C. S., Love, S., Brown-Gentry, K., Nato, A. Q., Quibrera, M., Shohet, R. V., Ambite, J. L., Wilkens, L. R., Le Marchand, L., Haiman, C. A., Buyske, S., Kooperberg, C., North, K. E., Fornage, M., & Crawford, D. C. Human genetics, 132(12):1427–1431, December, 2013.
doi  abstract   bibtex   
Genome-wide association studies (GWAS) have identified many variants that influence high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and/or triglycerides. However, environmental modifiers, such as smoking, of these known genotype-phenotype associations are just recently emerging in the literature. We have tested for interactions between smoking and 49 GWAS-identified variants in over 41,000 racially/ethnically diverse samples with lipid levels from the Population Architecture Using Genomics and Epidemiology (PAGE) study. Despite their biological plausibility, we were unable to detect significant SNP × smoking interactions.
@article{dumitrescu_no_2013,
	title = {No evidence of interaction between known lipid-associated genetic variants and smoking in the multi-ethnic {PAGE} population.},
	volume = {132},
	issn = {1432-1203},
	doi = {10.1007/s00439-013-1375-3},
	abstract = {Genome-wide association studies (GWAS) have identified many variants that influence high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and/or triglycerides. However, environmental modifiers, such as smoking, of these known genotype-phenotype associations are just recently emerging in the literature. We have tested for interactions between smoking and 49 GWAS-identified variants in over 41,000 racially/ethnically diverse samples with lipid levels from the Population Architecture Using Genomics and Epidemiology (PAGE) study. Despite their biological plausibility, we were unable to detect significant SNP × smoking interactions.},
	number = {12},
	journal = {Human genetics},
	author = {Dumitrescu, Logan and Carty, Cara L. and Franceschini, Nora and Hindorff, Lucia A. and Cole, Shelley A. and Bůžková, Petra and Schumacher, Fredrick R. and Eaton, Charles B. and Goodloe, Robert J. and Duggan, David J. and Haessler, Jeff and Cochran, Barbara and Henderson, Brian E. and Cheng, Iona and Johnson, Karen C. and Carlson, Chris S. and Love, Shelly-Anne and Brown-Gentry, Kristin and Nato, Alejandro Q. and Quibrera, Miguel and Shohet, Ralph V. and Ambite, José Luis and Wilkens, Lynne R. and Le Marchand, Loïc and Haiman, Christopher A. and Buyske, Steven and Kooperberg, Charles and North, Kari E. and Fornage, Myriam and Crawford, Dana C.},
	month = dec,
	year = {2013},
	pmid = {24100633},
	keywords = {Cholesterol, Cohort Studies, Ethnic Groups, Female, Gene Frequency, Gene-Environment Interaction, Genetics, Genome-Wide Association Study, HDL, Humans, LDL, Lipid Metabolism, Male, Polymorphism, Population, Prevalence, Single Nucleotide, Smoking, Triglycerides, Young Adult, epidemiology, ethnology, genetics, metabolism, statistics \& numerical data},
	pages = {1427--1431},
}
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