Exceptional memory performance in the Long Life Family Study

Sandra Barral, Stephanie Cosentino, Rosann Costa, Stacey L. Andersen, Kaare Christensen, John H. Eckfeldt, Anne B. Newman, Thomas T. Perls, Michael A. Province, Evan C. Hadley, Winifred K. Rossi, Richard Mayeux

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Research to understand variability at the highest end of the cognitive performance distribution has been scarce. Our aim was to define a cognitive endophenotype based on exceptional episodic memory (EM) performance and to investigate familial aggregation of EM in families from the Long Life Family Study (LLFS). Using a sample of 1911 nondemented offspring of long-lived probands, we created a quantitative phenotype, EM (memory z ≥ 1.5), and classified LLFS families as EM and non-EM families based on the number of EM offspring. We then assessed differences in memory performance between LLFS relatives in the parental generation of EM families and those in non-EM families using multivariate analysis adjusted for APOE Apolipoprotein E genotype. LLFS relatives in the proband generation from EM families showed better EM performance than those from non-EM families (β= 0.74, standard error= 0.19, p= 1.4× 10-4). We demonstrated that there is a familial correlation of the EM endophenotype, suggesting that genetic variants might influence memory performance in long-lived families.

Original languageEnglish (US)
Pages (from-to)2445-2448
Number of pages4
JournalNeurobiology of Aging
Volume34
Issue number11
DOIs
StatePublished - Nov 2013

Bibliographical note

Funding Information:
LLFS is sponsored by the National Institute on Aging (NIA cooperative agreements U01-AG023712 , U01-AG23744 , U01-AG023746 , U01-AG023749 , and U01-AG023755 ). Danish 1905-cohort is funded by National Institutes of Health/NIA , P01 AG08761 and the Danish Aging Research Center is funded by the VELUX Foundation . The authors specially thank Heidi Dubrouillet, Project Manager, at the Division of Statistical Genomics of Washington University School of Medicine.

Keywords

  • Exceptional memory
  • Genetic variants
  • Long Life Family Study
  • Quantitative trait

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