Hebrew SeniorLife researchers search for aging, osteopor...( (Boston Mass.) Researchers at Hebre...)

(Boston, Mass.) Researchers at Hebrew SeniorLifes Institute for Aging Research (IFAR) have examined close to 100,000 genetic markers for low bone mass and aging to help determine which genes are responsible for the development of osteoporosis and longevity.

One of the HSL studies surveyed the entire human genome (all the genetic material in a living organism), called a genome-wide association study (GWAS), to look for common genetic variations in hereditary osteoporosis traits, such as bone mineral density.

Weve examined nearly 100,000 genetic markers, says Douglas Kiel, M.D., M.P.H., director of medical research at IFAR and co-author of two of the papers, Were using this data and bone measurements over the years to see if bone mass is associated with certain genetic markers. Were looking for the genes for osteoporosis.

The other study, conducted by HSL investigators in collaboration with Boston University colleagues, took a GWAS approach to detecting genes related to longevity and aging traits. Two candidates are FOXO1a, which is associated with age at death, and PON1, which is associated with age at death and illness-free survival. These findings, if replicated in others studies, may help scientists understand better the mechanisms responsible for aging and, in turn, aid in health promotion and disease prevention.

The studies, published as part of a 17-paper supplement to the online, open-access journal BMC Medical Genetics, examined the genetic differences that potentially affect the risk for certain diseases, using data collected from the landmark Framingham Heart Study (FHS).

The studies evaluated DNA at 100,000 sites along the human genome where people are known to commonly differ. Researchers then looked for associations between the genotypes (the genetic makeup encoded in an individuals DNA) and hundreds of clinical phenotype measures (observable, physical characteristics) from nearly 60 years of FHS data, including biomarkers for c
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