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dc.contributor.authorLancaster, Eva E
dc.contributor.authorLapato, Dana M
dc.contributor.authorPeterson, Roseann E
dc.date.accessioned2023-02-06T19:19:00Z
dc.date.available2023-02-06T19:19:00Z
dc.date.issued2022-11-17
dc.identifier.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.en_US
dc.identifier.issn1664-8021
dc.identifier.doi10.3389/fgene.2022.1022188
dc.identifier.pmid36468033
dc.identifier.urihttp://hdl.handle.net/20.500.12648/8244
dc.description.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.
dc.language.isoenen_US
dc.relation.urlhttps://www.frontiersin.org/articles/10.3389/fgene.2022.1022188/fullen_US
dc.rightsCopyright © 2022 Lancaster, Lapato and Peterson.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectdepressionen_US
dc.subjectgeneticsen_US
dc.subjectgenome-wide association studiesen_US
dc.subjectmajor depressive disorderen_US
dc.subjectperipartum depressionen_US
dc.subjectpolygenic risk scoresen_US
dc.subjectpostpartum depressionen_US
dc.subjectwomen’s mental healthen_US
dc.titleUnderstanding the genetics of peripartum depression: Research challenges, strategies, and opportunities.en_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleFrontiers in geneticsen_US
dc.source.volume13
dc.source.beginpage1022188
dc.source.endpage
dc.source.countrySwitzerland
dc.description.versionVoRen_US
refterms.dateFOA2023-02-06T19:19:00Z
html.description.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.
dc.description.institutionSUNY Downstateen_US
dc.description.departmentPsychiatry and Behavioral Healthen_US
dc.description.departmentInstitute for Genomics in Healthen_US
dc.description.degreelevelN/Aen_US
dc.identifier.journalFrontiers in genetics


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Copyright © 2022 Lancaster, Lapato and Peterson.
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