Hot Publication - Hall and Colleagues
African Genetic Ancestry is Associated with Sleep Depth in Older African Americans
Halder I, Matthews KA, Buysse DJ, Strollo PJ, Causer V, Reis SE and Hall MH
SLEEP, 38:1185-1193, 2015
A new study clearly establishes a partial genetic basis underlying racial differences in slow-wave sleep, suggesting that it may be possible to develop sleep-related therapies that target specific genetic variants.
Using a panel of 1,698 ancestry informative genetic markers, the investigators found that greater African genetic ancestry was associated with lower amounts of slow-wave sleep in African-American adults. African ancestry explained 11 percent of the variation in slow-wave sleep after adjustment for potential confounders. Although a similar association was observed for delta power, no association with African ancestry was observed for sleep duration and efficiency.
“Our data are the first to show that race differences in slow-wave sleep may have an independent and significant genetic basis,” said Dr. Martica Hall, Professor of Psychiatry at the University of Pittsburgh and senior author of the article. “Although all humans have the same set of genes, variations within the genes sometimes follow population-specific patterns. By identifying the specific genetic variants that influence slow-wave sleep, we can eventually develop population-specific treatment approaches and therapies for sleep.”
Dr. Hall, seen here with lead author Dr. Indrani Halder, and the research team analyzed data from a community-based sample of 70 African-American adults and 101 European Americans with a mean age of about 60 years. Objective sleep data were gathered by polysomnography and genotyping was performed on blood samples collected from study participants.
Findings from this study show that African-Americans have varying proportions of genetic admixture and exhibit a wide range of African genetic ancestry. Among African-American study participants, percentage of African ancestry ranged between 10 percent and 88 percent, with a mean of 67 percent.
Karen A. Matthews, PhD, Daniel J. Buysse MD and Martica H. Hall, PhD (Department of Psychiatry, University of Pittsburgh School of Medicine)
Indrani Halder, PhD, Patrick J. Strollo, MD, Victoria Causer, MD and Steven E. Reis, MD (Department of Medicine, University of Pittsburgh School of Medicine)