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The role of sex in genetic association studies of depression

性别在抑郁症遗传关联研究中的作用

基本信息

批准号：
10599334
负责人：
Sharon Marie Lutz
金额：
$ 41.14万
依托单位：
HARVARD PILGRIM HEALTH CARE, INC.
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-04-01 至 2027-01-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10599334
关键词：
18 year old Adult Affect Age Area Biological Communities Complex Computer software Data Development Disease Disease-Free Survival Etiology Event Female Generalized Anxiety Disorder Genes Genetic Goals Grant Heterogeneity Linkage Disequilibrium Machine Learning Major Depressive Disorder Mental Depression Mental Health Mental disorders Methods Modeling Morbidity - disease rate Outcome Participant Pharmacotherapy Phenotype Public Health Research Personnel Resources Role Sex Differences Single Nucleotide Polymorphism Statistical Methods Structure Testing Time Validation Woman Work addiction biobank clinical phenotype deep learning disability disorder risk genetic association genetic variant genome wide association study improved lifetime risk male men method development novel novel strategies personalized medicine polygenic risk score population based population health semiparametric sex simulation statistics user friendly software

项目摘要

Project Abstract Depression is the most common mental illness in the U.S. affecting nearly 40 million adults age 18 years and older. Women are more likely to be affected by depression than men. Depression has both genetic and environmental influences. Depression is a polygenic disorder (due to the combined effects of many genetic variants) and depression rates differ by sex. The relationship between genes and depression is complex and influenced by sex. Thus, understanding the shared genetic basis of sex-specific differences for depression has great potential to lead to new biological understanding of the etiology of depression in females compared to males and to promote the development of novel and more effective pharmacotherapies. The underlying goal of this proposal is to develop and evaluate methods to examine the role of sex in genetic association studies of depression. These methods will be applied to the UK Biobank. The UK Biobank is one of the largest biobanks available at present and represents an extensive resource with both genetic data and depression phenotypes (approximately 474,000 participants). The Mass General Brigham Biobank (approximately 33,000 participants) will be used for validation and assessment of the robustness of the approaches. The grant focuses on methods development applied to depression and the role of sex in genetic association studies of depression; however, our ultimate goal is to develop approaches that are applicable to a broad range of mental health and addiction phenotypes. We will also create publicly available software packages to implement these new approaches, so that they will be broadly accessible to the scientific community.

项目摘要