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Jansen EC, Burgess HJ, Chervin RD, Dolinoy D, Téllez-Rojo MM, Cantoral A, Olascoaga-Torres L, Lee J, Dunietz GL, O’Brien LM, Peterson KE. Sleep duration and timing are prospectively linked with insulin resistance during late adolescence. Obesity (Silver Spring) 2023; 31:912-922. [PMID: 36847394 PMCID: PMC10033442 DOI: 10.1002/oby.23680] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 11/29/2022] [Accepted: 11/29/2022] [Indexed: 03/01/2023]
Abstract
OBJECTIVE The aim of this study was to evaluate whether short sleep duration or later sleep timing is a risk factor for insulin resistance (IR) in late adolescence. METHODS Mexico City adolescents enrolled in a longitudinal birth cohort (ELEMENT) took part in two study visits during peri-puberty that occurred approximately 2 years apart. IR was assessed with serum glucose and insulin. Four groups were defined using puberty-specific cut points: no IR over the follow-up period, transition from normal to IR, transition from IR to normal, and IR at both time points. Baseline sleep assessments were measured with 7-day wrist actigraphy. Multinomial logistic regression models were used to evaluate associations between sleep duration and timing with homeostatic model assessment of insulin resistance categories, adjusting for age, sex, and baseline pubertal status. RESULTS Adolescents who were ≥ 1 hour below the sleep duration recommendations-for-age were 2.74 times more likely to develop IR (95% CI: 1.0-7.4). Similarly, adolescents who were in the latest category of sleep midpoint (>4:33 a.m.) were more likely than those with earliest midpoints (1 a.m.-3 a.m.) to develop IR (odds ratio = 2.63, 95% CI: 1.0-6.7). Changes in adiposity over follow-up did not mediate sleep and IR. CONCLUSIONS Insufficient sleep duration and late sleep timing were associated with development of IR over a 2-year period in late adolescence.
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Affiliation(s)
- Erica C. Jansen
- Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI
| | | | - Ronald D. Chervin
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI
| | - Dana Dolinoy
- Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI
| | - Martha María Téllez-Rojo
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico
| | | | - Libni Olascoaga-Torres
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Joyce Lee
- Department of Pediatrics, University of Michigan, Ann Arbor, MI
| | - Galit Levi Dunietz
- Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI
| | - Louise M. O’Brien
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI
| | - Karen E. Peterson
- Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI
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Jansen E, Burgess H, Chervin R, O'Brien L, Dolinoy D, Tellez-Rojo MM, Cantoral A, Olascoaga-Torres L, Lee J, Dunietz G, Peterson K. 0201 Sleep duration and timing is prospectively linked with increases in insulin resistance over late adolescence. Sleep 2022. [DOI: 10.1093/sleep/zsac079.199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
During puberty, adolescents experience a period of transient insulin resistance (IR) that normalizes upon full maturation. Yet, IR continues to rise for some adolescents, increasing metabolic disease and type 2 diabetes risk in adulthood. Whether short sleep duration and/or later sleep timing are risk factors for persistently increasing IR in late adolescence has not been explored.
Methods
The study population includes 362 adolescents from Mexico City enrolled in a longitudinal birth cohort (ELEMENT study). Beginning in 2015, when participants were between the ages of 9 and 17, there were 2 clinic visits that occurred approximately 2 years apart. During the visit, a fasting blood sample and anthropometric measurements were taken. Insulin resistance was assessed with glucose and insulin via HOMA-IR. Four groups were defined using puberty-specific cutpoints for IR: normal HOMA-IR over the follow-up period (reference), transition from normal to IR, transition from IR to normal, and IR at both time points. Baseline sleep assessments (sleep duration, timing, and variability of both duration and timing) were measured with 7-day actigraphy. Multinomial logistic regression models were used to evaluate associations between sleep duration and timing with HOMA-IR categories, adjusting for age, sex, and baseline pubertal status
Results
Seventeen percent of the sample developed insulin resistance over the follow-up period. Adolescents ≥1 hour below the sleep duration recommendations-for-age were over twice as likely to be in the group that developed IR compared to the normal group (95% CI 1.1, .9; P for trend=0.03). Similarly, adolescents who had a sleep midpoint later than 4:36 AM were 2.77 times as likely to be in the increasing HOMA-IR category (95% CI 1.0, 7.5; P for trend=0.05). Interestingly, there was no evidence that changes in adiposity over follow-up mediated associations between sleep and insulin resistance.
Conclusion
Insufficient sleep duration and late sleep timing were independently associated with development of IR over a 2-year period in peri-puberty. Adequate sleep during the pubertal period may promote metabolic health into young adulthood, independent of any changes in adiposity.
Support (If Any)
Dr. Jansen is supported by K01HL151673. The study is supported by P01 ES02284401.
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Xu M, Daigger GT, Xi C, Liu J, Qu J, Alvarez PJ, Biswas P, Chen Y, Dolinoy D, Fan Y, Gao HO, Hao J, He H, Kammen DM, Lemos MC, Liu F, Love NG, Lu Y, Mauzerall DL, Miller SA, Ouyang Z, Overpeck JT, Peng W, Ramaswami A, Ren Z, Wang A, Wu B, Wu Y, Zhang J, Zheng C, Zhu B, Zhu T, Chen WQ, Liu G, Qu S, Wang C, Wang Y, Yu X, Zhang C, Zhang H. U.S.-China Collaboration is Vital to Global Plans for a Healthy Environment and Sustainable Development. Environ Sci Technol 2021; 55:9622-9626. [PMID: 34170667 DOI: 10.1021/acs.est.0c08750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Affiliation(s)
- Ming Xu
- School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan 48109-1041, United States
- Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Glen T Daigger
- Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Chuanwu Xi
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Jianguo Liu
- Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan 48824-1312, United States
| | - Jiuhui Qu
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Pedro J Alvarez
- Department of Civil and Environmental Engineering, Rice University, Huston, Texas 77005, United States
| | - Pratim Biswas
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
| | - Yongsheng Chen
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0355, United States
| | - Dana Dolinoy
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Ying Fan
- School of Economics and Management, Beihang University, Beijing 100083, China
| | - Huaizhu Oliver Gao
- School of Civil and Environmental Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Jiming Hao
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Hong He
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Daniel M Kammen
- Energy and Resources Group, University of California Berkeley, Berkeley, California 94720, United States
| | - Maria Carmen Lemos
- School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan 48109-1041, United States
| | - Fudong Liu
- Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, Florida 32816-2368, United States
| | - Nancy G Love
- Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Yonglong Lu
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Denise L Mauzerall
- Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey 08544, United States
- Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, New Jersey 08544, United States
| | - Shelie A Miller
- School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan 48109-1041, United States
- Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Zhiyun Ouyang
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Jonathan T Overpeck
- School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan 48109-1041, United States
| | - Wei Peng
- School of International Affairs and Department of Civil and Environmental Engineering, Pennsylvania State University, University ParkPennsylvania 16802, United States
| | - Anu Ramaswami
- Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey 08544, United States
| | - Zhiyong Ren
- Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey 08544, United States
| | - Aijie Wang
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Brian Wu
- Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109-1234, United States
| | - Ye Wu
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Junfeng Zhang
- Nicholas School of the Environment, Duke University, Durham, North Carolina 27708, United States
- Duke Kunshan University, Kunshan, Jiangsu 215316, China
| | - Chunmiao Zheng
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Bing Zhu
- Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
- Institute for Circular Economy Tsinghua University, Beijing 100084, China
| | - Tong Zhu
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Wei-Qiang Chen
- Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, China
| | - Gang Liu
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Shen Qu
- School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
- Center for Energy & Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China
| | - Chunyan Wang
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Yutao Wang
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Xueying Yu
- School of Economics and Management, Beihang University, Beijing 100083, China
| | - Chao Zhang
- School of Economics and Management, Tongji University, Shanghai 200092, China
| | - Hongliang Zhang
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
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Jansen EC, Dolinoy D, Peterson KE, O'Brien LM, Chervin RD, Cantoral A, Tellez-Rojo MM, Solano-Gonzalez M, Goodrich J. Adolescent sleep timing and dietary patterns in relation to DNA methylation of core circadian genes: a pilot study of Mexican youth. Epigenetics 2020; 16:894-907. [PMID: 33016191 PMCID: PMC8331002 DOI: 10.1080/15592294.2020.1827719] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Mistimed sleep/wake and eating patterns put shift workers at increased risk for cardiometabolic disease, and epigenetic modification of circadian genes has been proposed as a mechanism. Although not as extreme as shift workers, adolescents often have delayed sleep timing and irregular eating patterns. The aim was to assess whether sleep midpoints - median of bed and wake time - and dietary patterns in adolescents were associated with DNA methylation of circadian genes. The study population included 142 Mexican youth (average age of 14.0 (SD = 2.0) years, 49% male). Average sleep midpoint over weekdays was estimated with actigraphy. Diet was assessed with a semi-quantitative food frequency questionnaire, and three dietary patterns were derived from principal component analysis, a Plant-based & lean proteins pattern, a Meat & starchy pattern, and an Eggs, milk & refined grain pattern. DNA methylation was quantified in blood leukocytes with the Infinium MethylationEPIC BeadChip, and data from 548 CpG sites within 12 circadian genes were examined. Linear regression analyses, adjusted for sex, age, and % monocytes, showed that later sleep timing was associated with higher DNA methylation of several circadian genes, notably with RORB, PER1, CRY2, and NR1D1. Each of the dietary patterns examined was also related to circadian gene DNA methylation, but the Eggs, milk & refined grain pattern ('breakfast' pattern) had the clearest evidence of relationships with circadian genes, with inverse associations (lower DNA methylation) across all 12 genes. Findings suggest that timing-related sleep and eating behaviours among adolescents could result in epigenetic modification of clock genes.
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Affiliation(s)
- Erica C Jansen
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.,Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Dana Dolinoy
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.,Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Karen E Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Louise M O'Brien
- Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Ronald D Chervin
- Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | | | - Martha María Tellez-Rojo
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Maritsa Solano-Gonzalez
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Jaclyn Goodrich
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
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Jansen EC, Dolinoy D, Chervin RD, Peterson KE, O'Brien LM, Tellez Rojo MM, Cantoral A, Goodrich JM. 0027 Adolescent Sleep Timing And Dietary Patterns In Relation To Dna Methylation Of Core Clock Genes. Sleep 2019. [DOI: 10.1093/sleep/zsz067.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction
Mistimed sleep/wake and eating patterns put adult shift workers at increased risk for chronic disease, and epigenetic modification of core clock genes has been proposed as a mechanism. Although not as extreme as shift workers, adolescents often have delayed sleep timing. Our aim was to assess whether sleep midpoints in adolescents are associated with DNA methylation of circadian genes. A secondary aim was to examine associations between dietary patterns and circadian gene methylation.
Methods
The study population included 142 Mexican youth (average age 14.0 (SD=2.0) years, 49% male) enrolled in a cohort study. Average sleep midpoint (between bed time and wake time) over 7 days was estimated with actigraphy. Diet was assessed with a semi-quantitative food frequency questionnaire, and three dietary patterns were derived from principal components analysis (a vegetable-based pattern, a meat and starch-based pattern, and a breakfast pattern). DNA methylation was quantified in blood leukocytes with the Infinium MethylatinEPIC BeadChip. We selected 166 loci (CpG sites) within CpG islands of core ‘clock’ genes known to regulate circadian rhythms (CLOCK, BMAL, PER1, PER2, PER3, CRY1, CRYI2, RORA, RORB, REV-VERBA, REV-VERBB). Linear regression was used to analyze associations between sleep midpoint or dietary patterns and logit-transformed percent methylation at the 166 CpG sites. All models were adjusted for sex and age.
Results
The average midpoint was 3:41 AM (SD=1 hr 15 min); average bed time was 11:29 PM (SD=68 min) and average wake time was 7:53 AM (SD=97 min). Sleep midpoint was positively associated with DNA methylation of CpG sites from the genes REV-VERBA and RORB at the Bonferroni-corrected significance level of p<0.005. The breakfast dietary pattern (rich in eggs, milk, and bread) was inversely associated with DNA methylation at RORA (P=0.003).
Conclusion
Sleep timing and dietary habits are associated with DNA methylation of core clock genes in adolescents. Epigenetic modification of clock genes could in part underlie relationships between sleep, diet, and metabolic health among adolescents.
Support (If Any)
Dr. Jansen is supported by the NIH/NHLBI grant 5T32HL110952-05.
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Affiliation(s)
| | - Dana Dolinoy
- Department of Environmental Sciences, Ann Arbor, MI, USA
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Marchlewicz E, Djuric Z, Sanchez B, Peterson K, Dolinoy D. Impact of Prenatal Exposure to Humanized High Fat Diets on Murine Metabolic Phenotype. FASEB J 2015. [DOI: 10.1096/fasebj.29.1_supplement.754.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Zora Djuric
- Family Medicine University of MichiganUnited States
| | - Brisa Sanchez
- Biostatistics University of MichiganAnn ArborMIUnited States
| | - Karen Peterson
- Environmental Health Sciences University of MichiganUnited States
| | - Dana Dolinoy
- Environmental Health Sciences University of MichiganUnited States
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Sant K, Jilek J, Dolinoy D, Harris C. Mono‐2‐ethylhexyl phthalate exposure impairs embryonic growth and nutrition and alters epigenetic programming during early organogenesis (137.8). FASEB J 2014. [DOI: 10.1096/fasebj.28.1_supplement.137.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Karilyn Sant
- Environmental Health Sciences University of MichiganAnn ArborMIUnited States
| | - Joseph Jilek
- Environmental Health Sciences University of MichiganAnn ArborMIUnited States
| | - Dana Dolinoy
- Environmental Health Sciences University of MichiganAnn ArborMIUnited States
| | - Craig Harris
- Environmental Health Sciences University of MichiganAnn ArborMIUnited States
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Abstract
This review highlights emerging areas of interest in public health genomics. First, we describe recent advances in newborn screening (NBS), with a focus on the practice and policy implications of current and future efforts to expand NBS programs (e.g., via next-generation sequencing). Next, we detail research findings from the rapidly progressing field of epigenetics and epigenomics, highlighting ways in which our emerging understanding in these areas could guide future intervention and research efforts in public health. We close by considering various ethical, legal, and social issues posed by recent developments in public health genomics; these include policies to regulate access to personal genomic information, the need to enhance genetic literacy in both health professionals and the public, and challenges in ensuring that the benefits (and burdens) of genomic discoveries and applications are equitably distributed. We also note needs for future genomic research that integrates across basic and social sciences.
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Affiliation(s)
- J Scott Roberts
- Department of Health Behavior & Health Education University of Michigan School of Public Health
| | - Dana Dolinoy
- Department of Environmental Health Sciences University of Michigan School of Public Health
| | - Beth Tarini
- Child Health Evauation & Research Unit Division of Pediatrics University of Michigan Health System
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Peterson KE, Dolinoy D, Burant C, Lee J, Sanchez B, Zhang Z, Yang TC, Goodrich J, Ettinger A, Meeker J, Hu H, Solano M, Wang N, Tellez‐Rojo MM. Association of Lead Exposure and Untargeted Metabolomics with BMI and Hormones in Adolescence. FASEB J 2013. [DOI: 10.1096/fasebj.27.1_supplement.1073.14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - D Dolinoy
- U. Michigan School of Public HealthAnn ArborMI
| | - C Burant
- U.Michigan Medical SchoolAnn ArborMI
| | - J. Lee
- U.Michigan Medical SchoolAnn ArborMI
| | - B Sanchez
- U. Michigan School of Public HealthAnn ArborMI
| | - Z Zhang
- U. Michigan School of Public HealthAnn ArborMI
| | - T C. Yang
- U. Michigan School of Public HealthAnn ArborMI
| | - J Goodrich
- U. Michigan School of Public HealthAnn ArborMI
| | | | - J Meeker
- U. Michigan School of Public HealthAnn ArborMI
| | | | - M Solano
- Instituto Nacional de Salud PublicaCuernavacaMexico
| | - N Wang
- LSA StatisticsUniversity of MichiganAnn ArborMI
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Villamor E, Rozek LS, VanZomeren‐Dohm AA, Dolinoy D, Marin C, Mora‐Plazas M, Baylin A. LINE‐1 DNA methylation in Colombian school children is associated with birth weight and maternal BMI, and predicts physical growth. FASEB J 2010. [DOI: 10.1096/fasebj.24.1_supplement.107.6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | | | | | | | - Constanza Marin
- Department of NutritionNational University of ColombiaBogotaColombia
| | | | - Ana Baylin
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMI
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Dolinoy D. Epigenetic Gene Regulation: Linking Early Development Environment to Adult Disease. Dana Dolinoy, Ph.D. Biol Reprod 2009. [DOI: 10.1093/biolreprod/81.s1.113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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