Abstract

The success of genetic epidemiology lies in replication of results, and in joining with other cohorts to boost statistical power. To that end, this project draws on the AGES-Reykjavik Study and Health, Aging, and Body Composition (Health ABC) Study, both of which have been involved in candidate gene studies and have completed genome-wide association studies (GWAS). Genotypes from both studies have been imputed to 2.5 million SNPs from the international HapMap Project and further imputed to the 1,000 Genomes panel which yields approximatelyl 8.5 million SNPs. A variety of exome regions have also been genotyped using chip technology. AGES-Reykjavik and Health ABC share several phenotypes in common - measurement of adipose tissue, muscle area, muscle density, measures of grip and quadricep strength, assessment of physical functioning, and numerous other aging-related phenotypes. All analysis for these bone and body composition traits will be done as a collaboration between AGES-Reykjavik and the Health ABC Studies. We will join the results in a meta-analysis and consider joining with consortia of other epidemiologic GWAS to further support or refute our findings. Health ABC has contributed to multi-ethnic and African-American-specific genomics research in both the areas of bone and body composition. Both the AGES-Reykjavik and Health ABC Studies participate in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
1ZIAAG006000-08
Application #
9147412
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
8
Fiscal Year
2015
Total Cost
Indirect Cost

  Institution

Name
Aging
Department
Type
DUNS #
City
State
Country
Zip Code

  Publications

Floyd, J S; Sitlani, C M; Avery, C L et al. (2018) Large-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group. Pharmacogenomics J 18:127-135
Afshar, Mehdi; Luk, Kevin; Do, Ron et al. (2017) Association of Triglyceride-Related Genetic Variants With Mitral Annular Calcification. J Am Coll Cardiol 69:2941-2948
Marouli, Eirini (see original citation for additional authors) (2017) Rare and low-frequency coding variants alter human adult height. Nature 542:186-190
Ng, Maggie C Y; Graff, Mariaelisa; Lu, Yingchang et al. (2017) Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genet 13:e1006719
Gaksch, Martin; Jorde, Rolf; Grimnes, Guri et al. (2017) Vitamin D and mortality: Individual participant data meta-analysis of standardized 25-hydroxyvitamin D in 26916 individuals from a European consortium. PLoS One 12:e0170791
Graff, Mariaelisa (see original citation for additional authors) (2017) Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults. PLoS Genet 13:e1006528
Li, Man; Li, Yong; Weeks, Olivia et al. (2017) SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. J Am Soc Nephrol 28:981-994
Ben-Avraham, Dan; Karasik, David; Verghese, Joe et al. (2017) The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY) 9:209-246
Jensen, Majken K; Jensen, Richard A; Mukamal, Kenneth J et al. (2017) Detection of genetic loci associated with plasma fetuin-A: a meta-analysis of genome-wide association studies from the CHARGE Consortium. Hum Mol Genet 26:2156-2163
Justice, Anne E (see original citation for additional authors) (2017) Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat Commun 8:14977

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