ArticleBMC genetics2015
Comparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the Multi-Ethnic Study of Atherosclerosis.
Article in BMC genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Stress-induced mucin 13 reductions drive intestinal microbiome shifts and despair behaviors.Brain, behavior, and immunity · 2024Article
- Structural and social determinants of health: The multi-ethnic study of atherosclerosis.PloS one · 2024Article
- The Role of Gut Mucins in the Etiology of Depression.Frontiers in behavioral neuroscience · 2020Review
- A role for genes in the 'caregiver stress process'?Translational psychiatry · 2018Article
- Genome-wide association study of depressive symptoms in the Hispanic Community Health Study/Study of Latinos.Journal of psychiatric research · 2018Article
- Expert and self-assessment of lifetime symptoms and diagnosis of major depressive disorder in large-scale genetic studies in the general population: comparison of a clinical interview and a self-administered checklist.Psychiatric genetics · 2017Article
- GENOME-WIDE ASSOCIATION STUDY (GWAS) AND GENOME-WIDE BY ENVIRONMENT INTERACTION STUDY (GWEIS) OF DEPRESSIVE SYMPTOMS IN AFRICAN AMERICAN AND HISPANIC/LATINA WOMEN.Depression and anxiety · 2016Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundTime-varying phenotypes have been studied less frequently in the context of genome-wide analyses across ethnicities, particularly for mood disorders. This study uses genome-wide association studies of depressive symptoms in a longitudinal framework and across multiple ethnicities to find common variants for depressive symptoms. Ethnicity-specific GWAS for depressive symptoms were conducted using three approaches: a baseline measure, longitudinal measures averaged over time, and a repeated measures analysis. We then used meta-analysis to jointly analyze the results across ethnicities within the Multi-ethnic Study of Atherosclerosis (MESA, n = 6,335), and then within ethnicity, across MESA and a sample from the Health and Retirement Study African- and European-Americans (HRS, n = 10,163).
methodsThis study uses genome-wide association studies of depressive symptoms in a longitudinal framework and across multiple ethnicities to find common variants for depressive symptoms. Ethnicity-specific GWAS for depressive symptoms were conducted using three approaches: a baseline measure, longitudinal measures averaged over time, and a repeated measures analysis. We then used meta-analysis to jointly analyze the results across ethnicities within the Multi-ethnic Study of Atherosclerosis (MESA, n = 6,335), and then within ethnicity, across MESA and a sample from the Health and Retirement Study African- and European-Americans (HRS, n = 10,163).
resultsSeveral novel variants were identified at the genome-wide suggestive level (5×10(-8) < p-value ≤ 5×10(-6)) in each ethnicity for each approach to analyzing depressive symptoms. The repeated measures analyses resulted in typically smaller p-values and an increase in the number of single-nucleotide polymorphisms (SNP) reaching genome-wide suggestive level.
conclusionsFor phenotypes that vary over time, the detection of genetic predictors may be enhanced by repeated measures analyses.
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