Investigation of gene-by-sex interactions for lipid traits in diverse populations from the population architecture using genomics and epidemiology study
Public DepositedAdd to collection
You do not have access to any existing collections. You may create a new collection.
Downloadable Content
Download PDFCitation
MLA
Taylor, Kira C, et al. Investigation of Gene-by-sex Interactions for Lipid Traits In Diverse Populations From the Population Architecture Using Genomics and Epidemiology Study. BioMed Central Ltd, 2013. https://doi.org/10.17615/ja5x-t959APA
Taylor, K., Carty, C., Dumitrescu, L., Bůžková, P., Cole, S., Hindorff, L., Schumacher, F., Wilkens, L., Shohet, R., Quibrera, P., Johnson, K., Henderson, B., Haessler, J., Franceschini, N., Eaton, C., Duggan, D., Cochran, B., Cheng, I., Carlson, C., Brown Gentry, K., Anderson, G., Ambite, J., Haiman, C., Le Marchand, L., Kooperberg, C., Crawford, D., Buyske, S., North, K., & Fornage, M. (2013). Investigation of gene-by-sex interactions for lipid traits in diverse populations from the population architecture using genomics and epidemiology study. BioMed Central Ltd. https://doi.org/10.17615/ja5x-t959Chicago
Taylor, Kira C, Cara L Carty, Logan Dumitrescu, Petra Bůžková, Shelley A Cole, Lucia Hindorff, Fred R Schumacher et al. 2013. Investigation of Gene-By-Sex Interactions for Lipid Traits In Diverse Populations From the Population Architecture Using Genomics and Epidemiology Study. BioMed Central Ltd. https://doi.org/10.17615/ja5x-t959- Creator
-
Taylor, Kira C
- Affiliation: Gillings School of Global Public Health, Department of Epidemiology
- Other Affiliation: Department of Epidemiology and Population Health, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, USA
-
Carty, Cara L
- Other Affiliation: Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
-
Dumitrescu, Logan
- Other Affiliation: Center for Human Genetics Research, Vanderbilt University, Nashville, TN, USA
-
Bůžková, Petra
- Other Affiliation: Department of Biostatistics, University of Washington, Seattle, WA, USA
-
Cole, Shelley A
- Other Affiliation: Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
-
Hindorff, Lucia
- Other Affiliation: Office of Population Genomics, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
-
Schumacher, Fred R
- Other Affiliation: Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
-
Wilkens, Lynne R
- Other Affiliation: Epidemiology Program, University of Hawaii Cancer Center, University of Hawaii, Honolulu, HI, USA
-
Shohet, Ralph V
- Other Affiliation: Center of Cardiovascular Research, Department of Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, USA
-
Quibrera, P Miguel
- Affiliation: Gillings School of Global Public Health, Department of Epidemiology
-
Johnson, Karen C
- Other Affiliation: Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
-
Henderson, Brian E
- Other Affiliation: Department of Preventive Medicine, Keck School of Medicine, Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA, USA
-
Haessler, Jeff
- Other Affiliation: Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
-
Franceschini, Nora
- Affiliation: Gillings School of Global Public Health, Department of Epidemiology
-
Eaton, Charles B
- Other Affiliation: Department of Family Medicine and Community Health, Alpert Medical School of Brown University, Providence, RI, USA
-
Duggan, David J
- Other Affiliation: Integrated Cancer Genomics Division, The Translational Genomics Research Institute, Phoenix, AZ, USA
-
Cochran, Barbara
- Other Affiliation: Sponsored Programs, Baylor College of Medicine, Houston, TX, USA
-
Cheng, Iona
- Other Affiliation: Cancer Research Center, University of Hawaii, Honolulu, HI, USA
-
Carlson, Chris S
- Other Affiliation: Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
-
Brown-Gentry, Kristin
- Other Affiliation: Center for Human Genetics Research, Vanderbilt University, Nashville, TN, USA
-
Anderson, Garnet
- Other Affiliation: Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
-
Ambite, Jose
- Other Affiliation: Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
-
Haiman, Christopher
- Other Affiliation: Department of Preventive Medicine, Keck School of Medicine, Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA, USA
-
Le Marchand, Loïc
- Other Affiliation: Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
-
Kooperberg, Charles
- Other Affiliation: Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
-
Crawford, Dana C
- Other Affiliation: Center for Human Genetics Research, Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
-
Buyske, Steven
- Other Affiliation: Department of Statistics and Biostatistics, Rutgers University, Piscataway, NJ, USA
-
North, Kari
- Affiliation: Gillings School of Global Public Health, Department of Epidemiology, School of Medicine, Carolina Center for Genome Sciences
-
Fornage, Myriam
- Other Affiliation: Division of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, Institute of Molecular Medicine, University of Texas Health Sciences Center at Houston, Houston, TX, USA
- Abstract
- Abstract Background High-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) levels are influenced by both genes and the environment. Genome-wide association studies (GWAS) have identified ~100 common genetic variants associated with HDL-C, LDL-C, and/or TG levels, mostly in populations of European descent, but little is known about the modifiers of these associations. Here, we investigated whether GWAS-identified SNPs for lipid traits exhibited heterogeneity by sex in the Population Architecture using Genomics and Epidemiology (PAGE) study. Results A sex-stratified meta-analysis was performed for 49 GWAS-identified SNPs for fasting HDL-C, LDL-C, and ln(TG) levels among adults self-identified as European American (25,013). Heterogeneity by sex was established when phet < 0.001. There was evidence for heterogeneity by sex for two SNPs for ln(TG) in the APOA1/C3/A4/A5/BUD13 gene cluster: rs28927680 (phet = 7.4x10-7) and rs3135506 (phet = 4.3x10-4), one SNP in PLTP for HDL levels (rs7679; phet = 9.9x10-4), and one in HMGCR for LDL levels (rs12654264; phet = 3.1x10-5). We replicated heterogeneity by sex in five of seventeen loci previously reported by genome-wide studies (binomial p = 0.0009). We also present results for other racial/ethnic groups in the supplementary materials, to provide a resource for future meta-analyses. Conclusions We provide further evidence for sex-specific effects of SNPs in the APOA1/C3/A4/A5/BUD13 gene cluster, PLTP, and HMGCR on fasting triglyceride levels in European Americans from the PAGE study. Our findings emphasize the need for considering context-specific effects when interpreting genetic associations emerging from GWAS, and also highlight the difficulties in replicating interaction effects across studies and across racial/ethnic groups.
- Date of publication
- May 1, 2013
- DOI
- Identifier
- Resource type
- Article
- Rights statement
- In Copyright
- Rights holder
- Kira C Taylor et al.; licensee BioMed Central Ltd.
- License
- Journal title
- BMC Genetics
- Journal volume
- 14
- Journal issue
- 1
- Page start
- 33
- Language
- English
- Is the article or chapter peer-reviewed?
- Yes
- ISSN
- 1471-2156
- Bibliographic citation
- BMC Genetics. 2013 May 01;14(1):33
- Publisher
- BioMed Central Ltd
- Access right
- Open Access
- Date uploaded
- May 31, 2013
Relations
- Parents:
This work has no parents.
Items
Thumbnail | Title | Date Uploaded | Visibility | Actions |
---|---|---|---|---|
1471-2156-14-33.pdf | 2019-05-07 | Public | Download | |
1471-2156-14-33.xml | 2019-05-07 | Public | Download | |
This file contains Supplementary Tables 1-4 and Supplementary Figure 1 as described in the text. | 2019-05-07 | Public | Download |