R
Rachel Quaden
Researcher at VA Boston Healthcare System
Publications - 22
Citations - 811
Rachel Quaden is an academic researcher from VA Boston Healthcare System. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 9, co-authored 19 publications receiving 355 citations. Previous affiliations of Rachel Quaden include Veterans Health Administration & University of North Carolina at Chapel Hill.
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Journal ArticleDOI
Reproducible Genetic Risk Loci for Anxiety: Results From ∼200,000 Participants in the Million Veteran Program.
Daniel F. Levey,Joel Gelernter,Renato Polimanti,Hang Zhou,Zhongshan Cheng,Mihaela Aslan,Rachel Quaden,John Concato,Krishnan Radhakrishnan,Julien Bryois,Patrick F. Sullivan,Murray B. Stein +11 more
TL;DR: The authors identified novel genome-wide significant associations near genes involved with global regulation of gene expression (SATB1) and the estrogen receptor alpha (ESR1), which may have implications for genetic vulnerability across several psychiatric disorders.
Journal ArticleDOI
Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions.
Daniel F. Levey,Daniel F. Levey,Murray B. Stein,Murray B. Stein,Frank R. Wendt,Frank R. Wendt,Gita A. Pathak,Gita A. Pathak,Hang Zhou,Hang Zhou,Mihaela Aslan,Rachel Quaden,Kelly M. Harrington,Kelly M. Harrington,Yaira Z. Nunez,Yaira Z. Nunez,Cassie Overstreet,Cassie Overstreet,Krishnan Radhakrishnan,Gerard Sanacora,Gerard Sanacora,Andrew M. McIntosh,Jingchunzi Shi,Suyash Shringarpure,Million Veteran Program,Million Veteran Program,John Concato,Renato Polimanti,Renato Polimanti,Joel Gelernter,Joel Gelernter +30 more
TL;DR: In this article, a large meta-analysis of depression using data from the Million Veteran Program, 23andMe, UK Biobank and FinnGen, including individuals of European ancestry (n = 1,154,267; 340,591 cases) and African ancestry(n = 59,600; 25,843 cases).
Journal ArticleDOI
Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans.
Joel Gelernter,Ning Sun,Renato Polimanti,Robert H. Pietrzak,Daniel F. Levey,Julien Bryois,Qiongshi Lu,Yiming Hu,Boyang Li,Krishnan Radhakrishnan,Mihaela Aslan,Kei-Hoi Cheung,Yuli Li,Nallakkandi Rajeevan,Frederick G. Sayward,Kelly M. Harrington,Kelly M. Harrington,Quan Chen,Kelly Cho,Kelly Cho,Saiju Pyarajan,Saiju Pyarajan,Patrick F. Sullivan,Patrick F. Sullivan,Rachel Quaden,Yunling Shi,Haley Hunter-Zinck,J. Michael Gaziano,J. Michael Gaziano,John Concato,Hongyu Zhao,Murray B. Stein,Murray B. Stein,Million Veteran Program +33 more
TL;DR: This study identifies eight significant genetic associations with intrusive reexperiencing of trauma in post-traumatic stress disorder (PTSD) from the Million Veteran Program, a large biobank focused on US veterans.
Journal ArticleDOI
Genome-wide association analyses of post-traumatic stress disorder and its symptom subdomains in the Million Veteran Program.
Murray B. Stein,Murray B. Stein,Daniel F. Levey,Zhongshan Cheng,Frank R. Wendt,Kelly M. Harrington,Kelly M. Harrington,Gita A. Pathak,Kelly Cho,Kelly Cho,Rachel Quaden,Krishnan Radhakrishnan,Krishnan Radhakrishnan,Matthew J. Girgenti,Yuk-Lam Ho,Daniel C Posner,Mihaela Aslan,Ronald S. Duman,Hongyu Zhao,VA Million Veteran Program,VA Million Veteran Program,Renato Polimanti,John Concato,John Concato,Joel Gelernter +24 more
TL;DR: This paper conducted genome-wide association analyses of over 250,000 participants of European and African ancestry from the Million Veteran Program using electronic health record-validated post-traumatic stress disorder (PTSD) diagnosis and quantitative symptom phenotypes.
Journal ArticleDOI
The Burden of Frailty Among U.S. Veterans and Its Association With Mortality, 2002-2012.
Ariela R. Orkaby,Ariela R. Orkaby,Lisa Nussbaum,Yuk-Lam Ho,David R. Gagnon,Lien Quach,Rachel E. Ward,Rachel Quaden,Enzo Yaksic,Kelly M. Harrington,Julie M. Paik,Dae Hyun Kim,Dae Hyun Kim,Peter W.F. Wilson,J. Michael Gaziano,Luc Djoussé,Kelly Cho,Jane A. Driver,Jane A. Driver +18 more
TL;DR: Frailty was strongly associated with survival and was independent of age, sex, race, and smoking; the VA-FI better predicted mortality than age alone; theVA-FI could be used to more accurately estimate life expectancy and individualize care for Veterans.