Understanding the genetics of peripartum depression: Research challenges, strategies, and opportunities.
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genome-wide association studies
major depressive disorder
polygenic risk scores
women’s mental health
Journal titleFrontiers in genetics
Publication Begin page1022188
MetadataShow full item record
AbstractPeripartum depression (PD) is a common mood disorder associated with negative outcomes for mother and child. PD is an understudied disorder in psychiatric genetics, and progress characterizing its genetic architecture has been limited by a lack of disorder-specific research, heterogeneous and evolving phenotypic definitions, inadequate representation of global populations, low-powered studies, and insufficient data amenable to large meta-analyses. The increasing availability of large-scale, population-level efforts, like biobanks, have the potential to accelerate scientific discovery and translational research by leveraging clinical, molecular, and self-report data from hundreds of thousands of individuals. Although these efforts will not fully equip researchers to confront every challenge posed by systemic issues in data collection, such as the reliance on minimal phenotyping strategies, the field is in a position to learn from other successful psychiatric genetic investigations. This review summarizes the current state of PD genetics research and highlights research challenges, including the impact of phenotype depth, measurement, and definition on the replicability and interpretability of genomic research. Recommendations for advancing health equity and improving the collection, analysis, discussion, and reporting of measures for PD research are provided.
CitationLancaster EE, Lapato DM, Peterson RE. Understanding the genetics of peripartum depression: Research challenges, strategies, and opportunities. Front Genet. 2022 Nov 17;13:1022188. doi: 10.3389/fgene.2022.1022188. PMID: 36468033; PMCID: PMC9714263.
The following license files are associated with this item:
- Creative Commons
Except where otherwise noted, this item's license is described as Copyright © 2022 Lancaster, Lapato and Peterson.
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