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. 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 #
1ZIAAG006000-05
Application #
8552548
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
5
Fiscal Year
2012
Total Cost
$247,710
Indirect Cost

  Institution

Name
National Institute on 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
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
van Rooij, Frank J A; Qayyum, Rehan; Smith, Albert V et al. (2017) Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis. Am J Hum Genet 100:51-63
Noordam, Raymond; Sitlani, Colleen M; Avery, Christy L et al. (2017) A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. J Med Genet 54:313-323
Chu, Audrey Y; Deng, Xuan; Fisher, Virginia A et al. (2017) Multiethnic genome-wide meta-analysis of ectopic fat depots identifies loci associated with adipocyte development and differentiation. Nat Genet 49:125-130
Dong, Jing; Wyss, Annah; Yang, Jingyun et al. (2017) Genome-Wide Association Analysis of the Sense of Smell in U.S. Older Adults: Identification of Novel Risk Loci in African-Americans and European-Americans. Mol Neurobiol 54:8021-8032

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