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Epigenetic clock predicts life expectancy


Key points from article :

Study led UCLA analyzed over 13,000 blood samples.

Aging of blood calculated by tracking DNA alterations over time.

5 percent of people age at a faster biological rate irrespective of lifestyle choices.

Risk factors like smoking, diabetes and high blood pressure still predict mortality more strongly than one’s epigenetic aging rate.

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Bio-medical journal covering research on all aspects of gerontology

Steve Horvath

Professor of Human Genetics & Biostatistics at UCLA

Themistocles (Tim) Assimes

Associate Professor Of Medicine at the Stanford University School of Medicine.

University of California, Los Angeles (UCLA)

Public land-grant research university

Topics mentioned on this page:
Life Expectancy