A Structural Approach to the Familial Coaggregation of Disorders
Abstract
The demonstration that 2 disorders coaggregate in families is often the first step in the exploration of genetic factors common to the 2 disorders. Previous methods of analyzing familial coaggregation have used either (1) a typical measure of association (eg, the odds ratio) between a disorder in an individual and another disorder in family members, or (2) a linear structural equation model (SEM). The association method accommodates case-control sampling of families, but may not assess the causal effect of interest because it is not based on an underlying causal model. The SEM method is based on a causal model, but cannot easily accommodate case-control sampling or direct effects of 1 disorder on the other within individuals. We develop a new method of analyzing coaggregation based on directed acyclic graphs. Because this method is a generalization of structural equation models and uses measures of association that accommodate case-control sampling and direct effects, it combines the strengths of both previous methods. In the absence of direct effects between disorders, our approach provides a valid estimate of the causal coaggregation effect. In the presence of direct effects, our approach provides an upper-bound estimate and (assuming additive linear effects of latent familial and nonfamilial factors) a lower-bound estimate of the causal coaggregation effect. For illustration, we applied our method to a family study of binge eating disorder and bipolar disorder.
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Hudson et al. applied these results in a study of familial coaggregation of diseases.
“Hudson et al. (2008) apply these results productively in a study of familial coaggregation of diseases.”
From Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable (2014) · cites this paper as Hudson et al. 2008
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- Authors
- Hudson, J. I., Javaras, K. N., Laird, N. M., VanderWeele, T. J., Pope, H. G., & Hernán, M. A.
- Affiliations
- Harvard University (US)
- University of Chicago (US)
- Corresponding author
- Hudson, James I.
- Venue
- Epidemiology
- Published
- 2008-05
- Volume
- 19
- Issue
- 3
- Pages
- 431-439
- ISSN
- 1044-3983 (ISSN-L)
- OpenAlex
- W2032755500
- Cited by
- 42
- References
- 36
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 1 · 2022: 3 · 2021: 2 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 4 · 2016: 3 · 2014: 6 · 2013: 2
- FWCI
- 1.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Centers for Disease Control and Prevention (5 T32 MN17119-22)
- National Institute of Mental Health (R01MH070377)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Keywords
- directed acyclic graphs, structural equation modeling, case-control sampling, causal effect estimation, binge eating disorder, bipolar disorder, genetic factors, family studies
- MeSH terms
- Bipolar Disorder, Bulimia, Family, Humans, Models, Genetic, Research Design, Comorbidity, Case-Control Studies
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