Critical need for family-based, quasi-experimental designs in integrating genetic and social science research
Open accessAbstract
Researchers have identified environmental risks that predict subsequent psychological and medical problems. Based on these correlational findings, researchers have developed and tested complex developmental models and have examined biological moderating factors (e.g., gene-environment interactions). In this context, we stress the critical need for researchers to use family-based, quasi-experimental designs when trying to integrate genetic and social science research involving environmental variables because these designs rigorously examine causal inferences by testing competing hypotheses. We argue that sibling comparison, offspring of twins or siblings, in vitro fertilization designs, and other genetically informed approaches play a unique role in bridging gaps between basic biological and social science research. We use studies on maternal smoking during pregnancy to exemplify these principles.
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The sibling-comparison design accounts for unobserved familial confounders shared by siblings, including half of their genes.
“A unique feature of this study is the use of the sibling-comparison design [25]. This has been adopted in previous Swedish studies [8,16] and allows one to account for unobserved familial (e.g., genetic and environmental) confounders.”
Model III isolated the residual effect of the association of interest, which is consistent with a causal inference.
“Under these assumptions, Model III isolated the residual effect of the association of interest, which is consistent with a causal inference [25].”
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Self-citationThe intergenerational transmission of suicidal behavior: an offspring of siblings study
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- Authors
- D’Onofrio, B. M., Lahey, B. B., Turkheimer, E., & Lichtenstein, P.
- Affiliations
- Brian M. D’Onofrio is with Indiana University, Bloomington. Benjamin B. Lahey is with the University of Chicago, Chicago, IL. Eric Turkheimer is with the University of Virginia, Charlottesville. Paul Lichtenstein is with the Karolinska Institutet, Solna, Sweden.
- Karolinska Institutet (SE)
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 2013-10
- Volume
- 103
- Issue
- S1
- Pages
- S46-S55
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- PMC
- PMC3778076
- OpenAlex
- W2077233956
- Cited by
- 343
- References
- 114
- Citations by year
- 2026: 12 · 2025: 23 · 2024: 20 · 2023: 15 · 2022: 29 · 2021: 29 · 2020: 29 · 2019: 32 · 2018: 27 · 2017: 36 · 2016: 31 · 2015: 24 · 2014: 26 · 2013: 10
- FWCI
- 20.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Public Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Vetenskapsrådet
- National Institutes of Health
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD061817, R01HD061384, HD061384, HD061817)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Assisted Reproductive Technology and Twin Pregnancy
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- genetically informed designs, family-based designs, quasi-experimental design, gene-environment interaction, environmental risk factors, causal inference, sibling comparison, in vitro fertilization, smoking during pregnancy
- MeSH terms
- Environmental Exposure, Family Health, Female, Humans, Pregnancy, Pregnancy Complications, Research Design, Risk Factors, Smoking, Social Sciences, Confounding Factors, Epidemiologic, Behavioral Research, Genetic Research, Gene-Environment Interaction
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