Improved Detection of Common Variants Associated with Schizophrenia by Leveraging Pleiotropy with Cardiovascular-Disease Risk Factors
Journal Article
Overview
publication date
- February 7, 2013
has subject area
- Cardiovascular Diseases
- Disease Attributes - Genetic Predisposition to Disease
- Environment and Public Health - Genome-Wide Association Study
- Environment and Public Health - Genome-Wide Association Study
- Environment and Public Health - Reproducibility of Results
- Environment and Public Health - Risk Factors
- Environment and Public Health - Risk Factors
- Genetic Association Studies - Genome-Wide Association Study
- Genetic Loci
- Genetic Techniques - Genome-Wide Association Study
- Genotype - Genetic Predisposition to Disease
- Health Care Evaluation Mechanisms - Reproducibility of Results
- Health Care Evaluation Mechanisms - Risk Factors
- Health Care Quality, Access, and Evaluation - Risk Factors
- Humans
- Inheritance Patterns - Genetic Pleiotropy
- Investigative Techniques - Genome-Wide Association Study
- Investigative Techniques - Genome-Wide Association Study
- Investigative Techniques - Reproducibility of Results
- Investigative Techniques - Reproducibility of Results
- Investigative Techniques - Risk Factors
- Phenotype
- Phenotype - Genetic Pleiotropy
- Polymorphism, Single Nucleotide
- Schizophrenia
- Sequence Analysis - Genome-Wide Association Study
has restriction
- hybrid
Date in CU Experts
- December 22, 2017 12:34 PM
Full Author List
- Andreassen OA; Djurovic S; Thompson WK; Schork AJ; Kendler KS; O'Donovan MC; Rujescu D; Werge T; van de Bunt M; Morris AP
author count
- 15
citation count
- 332
published in
Other Profiles
International Standard Serial Number (ISSN)
- 0002-9297
Electronic International Standard Serial Number (EISSN)
- 1537-6605
Digital Object Identifier (DOI)
Additional Document Info
start page
- 197
end page
- 209
volume
- 92
issue
- 2