Daniel Belsky, PhD
Dr. Belsky's research sits at the intersection of public health, population & behavioral sciences, and genomics. His studies seek to understand how genes and environments combine to shape health across the life course. The goal of Dan's work is to reduce social inequalities in aging outcomes in the US and elsewhere.
Dan's research in genetic epidemiology includes polygenic score studies of the development of obesity, asthma, smoking behavior, depression, and socioeconomic risk. His work in aging has focused on the development and analysis of algorithms to quantify the process of biological aging, especially in young and midlife adults. Dan's work has received international attention, including by the Wall Street Journal, Washington Post, and Guardian newspapers, and appeared in outlets including PNAS, Nature Human Behaviour, the JAMA journals, Lancet Respiratory Medicine, and top journals in epidemiology and gerontology.
Dan is currently pursuing three related streams of research: (i) Development of methods to quantify processes of biological aging in young and midlife humans; (ii) Analysis of longitudinal cohort study and randomized trial data to identify molecular and behavioral pathways to resilience through which at-risk individuals can slow their pace of aging; and (iii) Analysis of gene-environment interplay to identify environmental factors that can be modified to reduce genetic risk for age-related disease and functional decline.
- Associate Professor of Epidemiology (in the Robert N. Butler Columbia Aging Center)
- Faculty, Robert N. Butler Columbia Aging Center
Credentials & Experience
Education & Training
- BA, 2002 Swarthmore College
- PhD, 2012 University of North Carolina at Chapel Hill Gillings School of Public Health
Journals of Gerontology
Honors & Awards
Early Career Research Fellow, Jacobs Foundation
Young Scholar, Jacobs Foundation
Fellow, CIFAR CBD Network
Butler Williams Scholar, NIA
- Biostatistical Methods
- Chronic disease
- Community Health
Belsky DW*, Caspi A, Houts R, Corcoran D, Cohen HJ, Danese A, Harrington HL, Israel S, Levine M, Schaefer J, Sugden K, Williams B, Yashin AI, Poulton R, Moffitt TE. Quantification of biological aging in young adults. Proceedings of the National Academy of Sciences (Plus) USA. 112(30):E4104-4110, 2015. PMC4522793
Belsky DW*, Caspi A, Kraus W, Cohen HJ, Ramrakha S, Poulton R, Moffitt TE. Impact of early personal-history characteristics on the Pace of Aging: Implications for clinical trials of therapies to slow aging and extend healthspan. Aging Cell, 16(4):644-651, 2017 PMC5506399
Belsky DW*, Huffman K, Pieper C, Shalev I, Kraus W. Change in the Rate of Biological Aging in Response to Caloric Restriction: CALERIE Biobank Analysis. Journals of Gerontology A: Biological Sciences, 12;73(1):4-10, 2017. PMC5861848
Belsky DW*, Moffitt TE, Cohen AA, Corcoran DL, Levine ME, Prinz J, Schaefer J, Sugden K, Williams B, Poulton R, Caspi A. Telomere, epigenetic clock, and biomarker-composite quantifications of biological aging: Do they measure the same thing? American Journal of Epidemiology, 187(6):1220-1230, 2018. PMC6248475
Parker DC, Bartlett BN, Cohen HJ, Fillenbaum G, Huebner J, Kraus VB, Pieper C, Belsky DW*. Association of blood chemistry quantifications of biological aging with disability and mortality in older adults. Journals of Gerontology A: Biological Sciences. Published online, November 6, 2019. Published online December 10, 2019. PMCID Pending
Belsky DW*, Caspi A, Israel S, Blumenthal JA, Poulton R, Moffitt TE. Cardiorespiratory fitness and cognitive function at midlife: Neuroprotection or neuroselection? Annals of Neurology, 77(4):607-617, 2015. PMC4376580
Belsky DW*, Sears MR, Hancox R, Moffitt TE, Harrington H, Houts R, Sugden K, Williams B, Poulton R, Caspi A. Polygenic risk and the development and course of asthma: an analysis of data from a 4-decade longitudinal study. Lancet Respiratory Medicine, 1:453-461, 2013. PMC3899706
Belsky DWB*, Domingue BD, Weedow R, Arseneault L, Boardman J, Caspi A, Conley DC, Fletcher J, Freese J, Herd P, Moffitt TE, Poulton R, Sicinski K, Wertz J, Harris KM. Genetic analysis of social-class mobility in five longitudinal studies. Proceedings of the National Academy of Sciences (Plus) USA, 115(31):E7275-84, 2018. PMC29987013
Belsky DW*, Caspi A, Arseneault L, Corcoran D, Houts R, Moffitt TE, Prinz J, Sugden K, Wertz J, Williams BS, Odgers CL. Genetics and the geography of health, behavior, and attainment. Nature Human Behaviour, Published online April 8, 2019. PMC6565482
Belsky DW, Harden KP. Phenotypic annotation: Translating discoveries from genome-wide association studies from the top down. Current Directions in Psychological Science, 28(1):82-90. PMCID Pending
Global Health Activities
PROMENTA: The PROMENTA Research Center aims to provide answers to three central questions in mental health, well-being, and drug use research: -What processes lead to poor and good mental health, and how? -How do social and geographic inequalities in mental health arise? -How can we develop, tailor, and evaluate effective interventions in communities to promote good mental health? To address these questions, we examine sources of mental health on a variety of levels, such as genetic risk, neuro-cognitive development, the psychosocial environment, and the socio-cultural and political context.