Genetics and the geography of health, behaviour and attainment.

Published

Journal Article

Young people's life chances can be predicted by characteristics of their neighbourhood1. Children growing up in disadvantaged neighbourhoods exhibit worse physical and mental health and suffer poorer educational and economic outcomes than children growing up in advantaged neighbourhoods. Increasing recognition that aspects of social inequalities tend, in fact, to be geographical inequalities2-5 is stimulating research and focusing policy interest on the role of place in shaping health, behaviour and social outcomes. Where neighbourhood effects are causal, neighbourhood-level interventions can be effective. Where neighbourhood effects reflect selection of families with different characteristics into different neighbourhoods, interventions should instead target families or individuals directly. To test how selection may affect different neighbourhood-linked problems, we linked neighbourhood data with genetic, health and social outcome data for >7,000 European-descent UK and US young people in the E-Risk and Add Health studies. We tested selection/concentration of genetic risks for obesity, schizophrenia, teen pregnancy and poor educational outcomes in high-risk neighbourhoods, including genetic analysis of neighbourhood mobility. Findings argue against genetic selection/concentration as an explanation for neighbourhood gradients in obesity and mental health problems. By contrast, modest genetic selection/concentration was evident for teen pregnancy and poor educational outcomes, suggesting that neighbourhood effects for these outcomes should be interpreted with care.

Full Text

Duke Authors

Cited Authors

  • Belsky, DW; Caspi, A; Arseneault, L; Corcoran, DL; Domingue, BW; Harris, KM; Houts, RM; Mill, JS; Moffitt, TE; Prinz, J; Sugden, K; Wertz, J; Williams, B; Odgers, CL

Published Date

  • April 8, 2019

Published In

PubMed ID

  • 30962612

Pubmed Central ID

  • 30962612

Electronic International Standard Serial Number (EISSN)

  • 2397-3374

International Standard Serial Number (ISSN)

  • 2397-3374

Digital Object Identifier (DOI)

  • 10.1038/s41562-019-0562-1

Language

  • eng