Loading...
Understanding the genetics of peripartum depression: Research challenges, strategies, and opportunities.
Journal Title
Frontiers in genetics
Readers/Advisors
Journal Title
Term and Year
Publication Date
2022-11-17
Book Title
Publication Volume
13
Publication Issue
Publication Begin
1022188
Publication End
Number of pages
Collections
Files
Loading...
fgene-13-1022188.pdf
Adobe PDF, 808.17 KB
Research Projects
Organizational Units
Journal Issue
Abstract
Peripartum 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.
Citation
Lancaster 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.