Gene-environment interaction and children's health and development

被引:8
|
作者
Wright, Robert O. [1 ,2 ]
Christiani, David [1 ]
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Environm Hlth, Program Environm Occupat Med & Epidemiol, Boston, MA 02215 USA
[2] Harvard Univ, Sch Publ Hlth, Childrens Hosp, Dept Pediat, Boston, MA 02215 USA
基金
美国国家卫生研究院;
关键词
genetics; pediatrics; prenatal environment; GENOME-WIDE ASSOCIATION; PROSPECTIVE COHORT; NERVOUS-SYSTEM; LEAD-EXPOSURE; HAPLOTYPE MAP; STRATIFICATION; POPULATION; ADMIXTURE; POWER; RISK;
D O I
10.1097/MOP.0b013e328336ebf9
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Purpose of review A systematic approach to studying gene-environment interaction can have immediate impact on our understanding of how environmental factors induce developmental disease and toxicity and will provide biological insight for potential treatment and prevention measures. Recent findings Because DNA sequence is static, genetic studies typically are not conducted prospectively. This limits the ability to incorporate environmental data into an analysis, as such data is usually collected cross-sectionally. Prospective environmental data collection could account for the role of critical windows of susceptibility that likely correspond to the expression of specific genes and gene pathways. The use of large-scale genomic platforms to discover genetic variants that modify environmental exposure in conjunction with a-priori planned replication studies would reduce the number of false positive results. Summary Using a genome-wide approach, combined with prospective longitudinal measures of environmental exposure at critical developmental windows, is the optimal design for gene-environment interaction research. This approach would discover susceptibility variants, and then validate the findings in an independent sample of children. Designs that combine the strengths and methodologies of each field will yield data that can account for both genetic variability and the role of critical developmental windows in the etiology of childhood disease and development.
引用
收藏
页码:197 / 201
页数:5
相关论文
共 50 条
  • [21] Estimation of gene-environment interaction by pooling biospecimens
    Danaher, M. R.
    Schisterman, E. F.
    Roy, A.
    Albert, P. S.
    STATISTICS IN MEDICINE, 2012, 31 (26) : 3241 - 3252
  • [22] Gene-environment interaction and risk of breast cancer
    Rudolph, Anja
    Chang-Claude, Jenny
    Schmidt, Marjanka K.
    BRITISH JOURNAL OF CANCER, 2016, 114 (02) : 125 - 133
  • [23] Gene-environment interaction in posttraumatic stress disorder
    Koenen, K. C.
    Nugent, Nicole R.
    Amstadter, Ananda B.
    EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE, 2008, 258 (02) : 82 - 96
  • [24] A novel gene-environment interaction involved in endometriosis
    McCarty, Catherine A.
    Berg, Richard L.
    Welter, Joseph D.
    Kitchner, Terrie E.
    Kemnitz, Joseph W.
    INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS, 2012, 116 (01) : 61 - 63
  • [26] A Nonlinear Model for Gene-Based Gene-Environment Interaction
    Sa, Jian
    Liu, Xu
    He, Tao
    Liu, Guifen
    Cui, Yuehua
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2016, 17 (06):
  • [27] Gene-environment interactions in childhood asthma revisited; expanding the interaction concept
    Hernandez-Pacheco, Natalia
    Kere, Maura
    Melen, Erik
    PEDIATRIC ALLERGY AND IMMUNOLOGY, 2022, 33 (05)
  • [28] A test for gene-environment interaction in the presence of measurement error in the environmental variable
    Aschard, Hugues
    Spiegelman, Donna
    Laville, Vincent
    Kraft, Pete
    Wang, Molin
    GENETIC EPIDEMIOLOGY, 2018, 42 (03) : 250 - 264
  • [29] Gene-environment interaction and the GNB3 gene in the atherosclerosis risk in communities study
    Grove, M. L.
    Morrison, A.
    Folsom, A. R.
    Boerwinkle, E.
    Hoelscher, D. M.
    Bray, M. S.
    INTERNATIONAL JOURNAL OF OBESITY, 2007, 31 (06) : 919 - 926
  • [30] Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence
    Liu, Gang
    Mukherjee, Bhramar
    Lee, Seunggeun
    Lee, Alice W.
    Wu, Anna H.
    Bandera, Elisa V.
    Jensen, Allan
    Rossing, Mary Anne
    Moysich, Kirsten B.
    Chang-Claude, Jenny
    Doherty, Jennifer A.
    Gentry-Maharaj, Aleksandra
    Kiemeney, Lambertus
    Gayther, Simon A.
    Modugno, Francesmary
    Massuger, Leon
    Goode, Ellen L.
    Fridley, Brooke L.
    Terry, Kathryn L.
    Cramer, DanielW.
    Ramus, Susan J.
    Anton-Culver, Hoda
    Ziogas, Argyrios
    Tyrer, Jonathan P.
    Schildkraut, Joellen M.
    Kjaer, Susanne K.
    Webb, Penelope M.
    Ness, Roberta B.
    Menon, Usha
    Berchuck, Andrew
    Pharoah, Paul D.
    Risch, Harvey
    Pearce, Celeste Leigh
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2018, 187 (02) : 366 - 377