Literature DB >> 22665028

Polygenic risk, rapid childhood growth, and the development of obesity: evidence from a 4-decade longitudinal study.

Daniel W Belsky1, Terrie E Moffitt, Renate Houts, Gary G Bennett, Andrea K Biddle, James A Blumenthal, James P Evans, Honalee Harrington, Karen Sugden, Benjamin Williams, Richie Poulton, Avshalom Caspi.   

Abstract

OBJECTIVE: To test how genomic loci identified in genome-wide association studies influence the development of obesity.
DESIGN: A 38-year prospective longitudinal study of a representative birth cohort.
SETTING: The Dunedin Multidisciplinary Health and Development Study, Dunedin, New Zealand. PARTICIPANTS: One thousand thirty-seven male and female study members. MAIN EXPOSURES: We assessed genetic risk with a multilocus genetic risk score. The genetic risk score was composed of single-nucleotide polymorphisms identified in genome-wide association studies of obesity-related phenotypes. We assessed family history from parent body mass index data collected when study members were 11 years of age. MAIN OUTCOME MEASURES: Body mass index growth curves, developmental phenotypes of obesity, and adult obesity outcomes were defined from anthropometric assessments at birth and at 12 subsequent in-person interviews through 38 years of age.
RESULTS: Individuals with higher genetic risk scores were more likely to be chronically obese in adulthood. Genetic risk first manifested as rapid growth during early childhood. Genetic risk was unrelated to birth weight. After birth, children at higher genetic risk gained weight more rapidly and reached adiposity rebound earlier and at a higher body mass index. In turn, these developmental phenotypes predicted adult obesity, mediating about half the genetic effect on adult obesity risk. Genetic associations with growth and obesity risk were independent of family history, indicating that the genetic risk score could provide novel information to clinicians.
CONCLUSIONS: Genetic variation linked with obesity risk operates, in part, through accelerating growth in the early childhood years after birth. Etiological research and prevention strategies should target early childhood to address the obesity epidemic.

Entities:  

Mesh:

Year:  2012        PMID: 22665028      PMCID: PMC3534740          DOI: 10.1001/archpediatrics.2012.131

Source DB:  PubMed          Journal:  Arch Pediatr Adolesc Med        ISSN: 1072-4710


  33 in total

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2.  Hints of hidden heritability in GWAS.

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3.  SPSS and SAS procedures for estimating indirect effects in simple mediation models.

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Review 4.  Genes, environment and the value of prospective cohort studies.

Authors:  Teri A Manolio; Joan E Bailey-Wilson; Francis S Collins
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5.  Genomics sizes up.

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6.  The number of years lived with obesity and the risk of all-cause and cause-specific mortality.

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7.  Utility of childhood BMI in the prediction of adulthood disease: comparison of national and international references.

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8.  Patterns of growth associated with the timing of adiposity rebound.

Authors:  Sheila M Williams; Ailsa Goulding
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9.  Life course variations in the associations between FTO and MC4R gene variants and body size.

Authors:  Rebecca Hardy; Andrew K Wills; Andrew Wong; Cathy E Elks; Nicholas J Wareham; Ruth J F Loos; Diana Kuh; Ken K Ong
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10.  Do gene variants influencing adult adiposity affect birth weight? A population-based study of 24 loci in 4,744 Danish individuals.

Authors:  Ehm A Andersson; Kasper Pilgaard; Charlotta Pisinger; Marie N Harder; Niels Grarup; Kristine Færch; Camilla Sandholt; Pernille Poulsen; Daniel R Witte; Torben Jørgensen; Allan Vaag; Oluf Pedersen; Torben Hansen
Journal:  PLoS One       Date:  2010-12-01       Impact factor: 3.240

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  65 in total

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Authors:  Daniel W Belsky; Avshalom Caspi; Louise Arseneault; David L Corcoran; Benjamin W Domingue; Kathleen Mullan Harris; Renate M Houts; Jonathan S Mill; Terrie E Moffitt; Joseph Prinz; Karen Sugden; Jasmin Wertz; Benjamin Williams; Candice L Odgers
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Review 4.  A Narrative Review of Medical and Genetic Risk Factors among Children Age 5 and Younger with Severe Obesity.

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5.  Translating Polygenic Analysis for Prevention: From Who to How.

Authors:  Daniel W Belsky
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6.  Prediction of Adulthood Obesity Using Genetic and Childhood Clinical Risk Factors in the Cardiovascular Risk in Young Finns Study.

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7.  Opportunities and challenges of big data for the social sciences: The case of genomic data.

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8.  Associations between genetic variants associated with body mass index and trajectories of body fatness across the life course: a longitudinal analysis.

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9.  Is the gene-environment interaction paradigm relevant to genome-wide studies? The case of education and body mass index.

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