Maya Deyssenroth
- Assistant Professor of Environmental Health Sciences
Overview
Maya Deyssenroth is a molecular epidemiologist with a focus on studying pathways through which the placenta conveys intrauterine exposures on postnatal health outcomes. Within this research scope, Dr. Deyssenroth incorporates biostatistical and bioinformatic tools to evaluate multi-pollutant exposures and high dimensional genomic profiles to elucidate signatures reflective of early life programming of health and disease.
Office Location: 630 West 168th Street, VP&S Room 16-421D
Academic Appointments
- Assistant Professor of Environmental Health Sciences
Administrative Titles
- Member, Columbia Center for Environmental Health and Justice in Northern Manhattan
Credentials & Experience
Education & Training
- BA, 2005 Rutgers University
- MA, 2007 Columbia University
- DrPH, 2014 Columbia University
Research
Research Interests
- Biostatistical Methods
- Child and Adolescent Health
- Environmental Health
- Genetics
- Maternal and Reproductive Health
Selected Publications
Deyssenroth MA, Rosa MJ, Eliot MN, Kelsey KT, Kloog I, Schwartz JD, Wellenius GA, Peng S, Hao K, Marsit CJ, Chen J. "Placental gene networks at the interface between maternal PM2.5 exposure early in gestation and reduced infant birthweight." Environ Res: 199. 111342, 2021.
Kappil (Deyssenroth) MA, Green BB, Armstrong DA, Sharp AJ, Lambertini L, Marsit CJ, Chen J. "Placental Expression Profile of Imprinted Genes Impacts Birth Weight." Epigenetics: 10 (9). 842-9, 2015
Deyssenroth MA, Peng S, Hao K, Lambertini L, Marsit CJ, Chen J. "Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth." BMC Genomics: 18(1).520, 2017
Deyssenroth MA, Gennings C, Liu SH, Peng S, Hao K, Lambertini L, Jackson BJ, Karagas MR, Marsit CJ, Chen J. "Intrauterine multi-metal exposure is associated with reduced fetal growth through modulation of the placental gene network." Environ Int:120.373-381, 2018
Deyssenroth MA, Marsit CJ, Chen J, Lambertini L. "In-depth Characterization of the placental imprintome reveals novel differentially methylated regions across birth weight categories." Epigenetics: 15(1-2). 47-60, 2020
Deyssenroth MA, Colicino E, Curtin P, Niedzwiecki MM, Mazzella M, Sumner SJ, Gao S, Su L, Diao N, Mostofo G, Qamruzzaman Q, Pathmasiri W, Christiani DC, Fennell T, Gennings C. "Quantitative methods for metabolomics analyses evaluated in the Children's Health Exposure Analysis Resource (CHEAR)." J Expo Sci Environ Epidemiol:30(1).16-27, 2020