There is increasing evidence that exceptional longevity (EL) is a familial trait that is at least partially genetic, with a suggestive linkage found on chromosome 4 in a recent genome scan of centenarian sibships, and some studies finding association to selected candidate genes (e.g. inflammatory regulating genes, HLA, BRCA1). However, the magnitude of the genetic contribution is still controversial. The familial nature and exact contribution of its various correlated subphenotypes and """"""""risk"""""""" factors is also not clear. There may be complex heterogeneity, gene by gene, gene by environment, temporal trends in operation. The overall objective of the Exceptional Longevity Family Study (ELFS) is to estimate and characterize the role of familial and genetic factors in the etiology of EL. Multiple field centers will recruit EL pedigrees using population based resources. As the Data Management and Coordinating Center (DMCC), we will provide critical logistical support, collaboration, and central expertise and leadership during the three critical phases of the study: finalization of design/protocol, data collection and analysis and publications.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01AG023746-02S3
Application #
7126662
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Rossi, Winifred K
Project Start
2004-08-15
Project End
2009-07-31
Budget Start
2005-09-30
Budget End
2006-07-31
Support Year
2
Fiscal Year
2005
Total Cost
$123,000
Indirect Cost
Name
Washington University
Department
Biostatistics & Other Math Sci
Type
Schools of Medicine
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Daw, E Warwick; Hicks, James; Lenzini, Petra et al. (2018) Methods for detecting methylation by SNP interaction in GAW20 simulation. BMC Proc 12:37
Sung, Yun J (see original citation for additional authors) (2018) A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. Am J Hum Genet 102:375-400
Marron, Megan M; Singh, Jatinder; Boudreau, Robert M et al. (2018) A novel healthy blood pressure phenotype in the Long Life Family Study. J Hypertens 36:43-53
Fagan, Erin; Sun, Fangui; Bae, Harold et al. (2017) Telomere length is longer in women with late maternal age. Menopause 24:497-501
Barral, Sandra; Singh, Jatinder; Fagan, Erin et al. (2017) Age-Related Biomarkers in LLFS Families With Exceptional Cognitive Abilities. J Gerontol A Biol Sci Med Sci 72:1683-1688
Sebastiani, Paola; Thyagarajan, Bharat; Sun, Fangui et al. (2017) Biomarker signatures of aging. Aging Cell 16:329-338
Polimanti, Renato; Jensen, Kevin P; Gelernter, Joel (2017) Phenome-wide association study for CYP2A6 alleles: rs113288603 is associated with hearing loss symptoms in elderly smokers. Sci Rep 7:1034
Lam, Max; Trampush, Joey W; Yu, Jin et al. (2017) Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets. Cell Rep 21:2597-2613
Macé, Aurélien; Tuke, Marcus A; Deelen, Patrick et al. (2017) CNV-association meta-analysis in 191,161 European adults reveals new loci associated with anthropometric traits. Nat Commun 8:744
Sebastiani, Paola; Thyagarajan, Bharat; Sun, Fangui et al. (2016) Age and Sex Distributions of Age-Related Biomarker Values in Healthy Older Adults from the Long Life Family Study. J Am Geriatr Soc 64:e189-e194

Showing the most recent 10 out of 55 publications