Leukocyte telomere length, breast cancer risk in the offspring: the relations with father's age at birth.

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2011-04

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Abstract

Recent studies have reported that leukocyte telomere length (LTL) is longer in offspring of older fathers. Longer telomeres might increase cancer risk. We examined the relation of father's age at the birth of the offspring (FAB) with LTL in the offspring in 2177 participants of the Family Heart Study and the probability of developing breast cancer in 1405 women from the Framingham Heart Study (offspring cohort). For each year of increase in FAB (adjusted for mother's age at birth), LTLs in the daughters and sons were longer by 19.4bp and 12.2bp, respectively (p<0.0001). Daughters of older fathers were less likely to stay free of breast cancer compared to daughters of younger fathers in empirical (p=0.014) and Cox regression analyses (p=0.0012) adjusted for relevant covariates. We conclude that older fathers endow their offspring with a longer LTL and their daughters with increased susceptibility to breast cancer. These independent observations cannot provide evidence for a causal relationship, mediated by telomere length, between FAB and increased breast cancer risk in daughters. However, with couples delaying having children in today's society, studies exploring the LTL association with increased breast cancer risk in daughters of older fathers might be timely and relevant.

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10.1016/j.mad.2011.02.004

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Arbeev, Konstantin G, Steven C Hunt, Masayuki Kimura, Abraham Aviv and Anatoliy I Yashin (2011). Leukocyte telomere length, breast cancer risk in the offspring: the relations with father's age at birth. Mech Ageing Dev, 132(4). pp. 149–153. 10.1016/j.mad.2011.02.004 Retrieved from https://hdl.handle.net/10161/14876.

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Scholars@Duke

Arbeev

Konstantin Arbeev

Associate Research Professor in the Social Science Research Institute

Konstantin G. Arbeev received the M.S. degree in Applied Mathematics from Moscow State University (branch in Ulyanovsk, Russia) in 1995 and the Ph.D. degree in Mathematics and Physics (specialization in Theoretical Foundations of Mathematical Modeling, Numerical Methods and Programming) from Ulyanovsk State University (Russia) in 1999. He was a post-doctoral fellow in Max Planck Institute for Demographic Research in Rostock (Germany) before moving to Duke University in 2004 to work as a Research Scientist and a Senior Research Scientist in the Department of Sociology and the Social Science Research Institute (SSRI).  He is currently an Associate Research Professor in SSRI. Dr. Arbeev's major research interests are related to three interconnected fields of biodemography, biostatistics and genetic epidemiology as pertains to research on aging. The focus of his research is on discovering genetic and non-genetic factors that can affect the process of aging and determine longevity and healthy lifespan. He is interested in both methodological advances in this research area as well as their practical applications to analyses of large-scale longitudinal studies with phenotypic, genetic and, recently, genomic information. Dr. Arbeev authored and co-authored more than 150 peer-reviewed publications in these areas.

Yashin

Anatoli I. Yashin

Research Professor in the Social Science Research Institute

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