Genome‐wide association study of shared liability to anxiety disorders in Army STARRS-Reference-Cited by-同舟云学术

Genome‐wide association study of shared liability to anxiety disorders in Army STARRS

Published:2019-12-30 Issue:4 Volume:183 Page:197-207
ISSN:1552-4841
Container-title:American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
language:en
Short-container-title:Am. J. Med. Genet.

Author:

Hettema John M.¹²^ORCID,Verhulst Brad³,Chatzinakos Chris²,Bacanu Silviu‐Alin²,Chen Chia‐Yen⁴,Ursano Robert J.⁵,Kessler Ronald C.⁶,Gelernter Joel⁷,Smoller Jordan W.⁴,He Feng⁸,Jain Sonia⁸,Stein Murray B.⁸⁹^ORCID

Affiliation:

1. Department of PsychiatryTexas A&M Health Sciences Center Bryan Texas

2. Virginia Institute for Psychiatric and Behavioral Genetics, Department of PsychiatryVirginia Commonwealth University Richmond Virginia

3. Department of PsychologyMichigan State University East Lansing Michigan

4. Psychiatric and Neurodevelopmental Genetics UnitCenter for Genomic Medicine, Massachusetts General Hospital Boston Massachusetts

5. Department of PsychiatryUniformed Services University Bethesda Maryland

6. Department of Healthcare PolicyHarvard Medical School Boston Massachusetts

7. Department of Psychiatry, Genetics, & NeurobiologyYale University School of Medicine New Haven Connecticut

8. Department of Family Medicine & Public HealthUniversity of California San Diego La Jolla California

9. Department of PsychiatryUniversity of California San Diego La Jolla California

Funder

National Institute of Mental Health

U.S. Department of Health and Human Services

Publisher

Wiley

Subject

Cellular and Molecular Neuroscience,Psychiatry and Mental health,Genetics(clinical)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ajmg.b.32776

Reference44 articles.

1. Revealing the complex genetic architecture of obsessive–compulsive disorder using meta-analysis

2. Anxiety and Anxiety Disorders in Children and Adolescents: Developmental Issues and Implications for DSM-V

3. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

4. Second-generation PLINK: rising to the challenge of larger and richer datasets

5. JEPEGMIX2: improved gene-level joint analysis of eQTLs in cosmopolitan cohorts

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