Disentangling the Epidemiologic and Genetic Heterogeneity of Postpartum Depression to Predict Risk and Prognosis

解开产后抑郁症的流行病学和遗传异质性以预测风险和预后

基本信息

项目摘要

PROJECT SUMMARY Postpartum depression (PPD), a common complication of childbirth, has significant morbidity and mortality for mother and child, yet etiology is still poorly understood. PPD is a more heritable subtype of MDD, yet significant heterogeneity exists within the PPD phenotype, which may reflect differences in etiology. This study aims to disentangle the heterogeneity of PPD to understand etiology by leveraging existing data from two unique global resources, the Norwegian Mother and Child Cohort Study (MoBa) and the US arm of the Postpartum Depression: Action Towards Causes and Treatment Consortium. The study aims to 1) apply modern statistical learning methods in a master training set (N=63,528) and two independent testing sets (N=31,716 and N=4,978) to identify PPD subtypes, 2) identify genetic contributors to PPD subtypes and genetic overlap with other traits, and 3) examine the extent to which PPD subtypes predict longer-term mental health prognosis. This research will support my primary career goal to become an independently funded investigator with the expertise necessary to conduct integrated epidemiologic and genomic research to understand the complex etiology of PPD. My long-term research objective is to develop comprehensive risk prediction models that can ultimately be translated into effective preventive interventions and novel individualized treatments for PPD. I have expertise is in epidemiology and perinatal health, but I need additional mentored training to conduct large- scale, integrated gene-environment analyses to understand the biological basis of PPD. The specific objectives to meet my career goal are to 1) develop skills in data science to effectively analyze large, complex datasets, 2) establish an in-depth understanding of genomics and statistical genetics, and 3) understand the complex phenotypes of PPD and other related psychiatric conditions. The core mentorship team consists of Dr. Samantha Meltzer-Brody, lead mentor, an internationally recognized expert in perinatal mental health research, and Dr. Patrick Sullivan, co-lead mentor, a psychiatric geneticist who has built a collaborative network of depression research in Scandinavia. Dr. Yun Li, co-mentor, has extensive experience in developing statistical and computational methods for genomic and high-dimensional data. Dr. Ted Reichborn-Kjennerud, co-mentor, and Drs. Helga Ask and Alexandra Havdahl, collaborators, have extensive experience with assessment of psychiatric outcomes in the MoBa cohort. Dr. Cathryn Lewis, collaborator, is a leading expert in the development of genetic risk score methodology. Their combined mentorship will place me in an ideal position to succeed as an independent investigator. This work will inform further investigation of unique contributions of genes and environment to develop multifactorial predictive models for PPD, representing an important step towards personalized medicine in perinatal mental health. The vital skills I attain during this grant award will provide a foundation for future research evaluating interventions for prevention and personalized therapeutic treatments of PPD.
项目摘要 产后抑郁症(PPD)是一种常见的分娩并发症, 母亲和孩子,但病因仍然知之甚少。PPD是MDD的一种更易遗传的亚型, PPD表型中存在异质性,这可能反映了病因学的差异。本研究旨在 通过利用来自两个独特的全球性研究的现有数据, 资源,挪威母亲和儿童队列研究(MoBa)和产后抑郁症的美国分支: 采取行动的原因和治疗财团。该研究旨在1)应用现代统计学习 主训练集(N= 63,528)和两个独立测试集(N= 31,716和N= 4,978)中的方法, 鉴定PPD亚型,2)鉴定PPD亚型的遗传贡献者和与其它性状的遗传重叠,和 3)研究PPD亚型预测长期心理健康预后的程度。 这项研究将支持我的主要职业目标,成为一名独立资助的研究人员, 进行综合流行病学和基因组研究以了解复杂的 PPD的病因。我的长期研究目标是开发全面的风险预测模型, 最终转化为有效的预防性干预和PPD的新型个体化治疗。我 我的专长是流行病学和围产期健康,但我需要额外的指导培训,以进行大型- 大规模的综合基因环境分析,以了解PPD的生物学基础。的具体目标 我的职业目标是:1)培养数据科学技能,以有效分析大型复杂数据集,2) 建立对基因组学和统计遗传学的深入了解,3)了解复杂的 PPD和其他相关精神疾病的表型。核心导师团队由萨曼莎博士 Meltzer-Brody,首席导师,国际公认的围产期心理健康研究专家,和Dr。 帕特里克沙利文,共同领导导师,精神病遗传学家谁建立了一个协作网络的抑郁症 斯堪的纳维亚的研究。李云博士,共同导师,在开发统计和 基因组和高维数据的计算方法。Ted Reichs-Kjennerud博士,共同导师, Drs.合作者Helga Ask和Alexandra Havdahl在精神疾病评估方面拥有丰富的经验。 MoBa队列的结果。凯瑟琳刘易斯博士,合作者,是一个领先的专家,在发展遗传 风险评分方法。他们的共同指导将使我处于一个理想的位置, 独立调查员 这项工作将为进一步研究基因和环境对发育的独特贡献提供信息 PPD的多因素预测模型,代表了向个性化医疗迈出的重要一步, 围产期心理健康我在这次奖学金获得的重要技能将为未来的研究奠定基础 评估PPD预防和个性化治疗的干预措施。

项目成果

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Anna Elizabeth Bauer其他文献

Anna Elizabeth Bauer的其他文献

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{{ truncateString('Anna Elizabeth Bauer', 18)}}的其他基金

Disentangling the Epidemiologic and Genetic Heterogeneity of Postpartum Depression to Predict Risk and Prognosis
解开产后抑郁症的流行病学和遗传异质性以预测风险和预后
  • 批准号:
    10200624
  • 财政年份:
    2019
  • 资助金额:
    $ 15.02万
  • 项目类别:
Disentangling the Epidemiologic and Genetic Heterogeneity of Postpartum Depression to Predict Risk and Prognosis
解开产后抑郁症的流行病学和遗传异质性以预测风险和预后
  • 批准号:
    10431965
  • 财政年份:
    2019
  • 资助金额:
    $ 15.02万
  • 项目类别:
Disentangling the Epidemiologic and Genetic Heterogeneity of Postpartum Depression to Predict Risk and Prognosis
解开产后抑郁症的流行病学和遗传异质性以预测风险和预后
  • 批准号:
    10652450
  • 财政年份:
    2019
  • 资助金额:
    $ 15.02万
  • 项目类别:

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