A framework for interpreting genome-wide association studies of psychiatric disorders

Keywords

Genome-wide association studySchizophrenia (object-oriented programming)Psychiatric geneticsPsychiatryBipolar disorderAutismPsychologyAttention deficit hyperactivity disorderGenetic associationAssociation (psychology)Research Domain CriteriaClinical psychologySingle-nucleotide polymorphismMental healthGenotypeGeneticsPsychotherapistMoodBiology

Affiliated Institutions

Related Publications

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Paul R. Burton , David Clayton , Lon R. Cardon +97 more

There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We descri...

2007 Nature 9552 citations

The genetics of schizophrenia and bipolar disorder: dissecting psychosis

Nicholas Craddock

Much work has been done to identify susceptibility genes in schizophrenia and bipolar disorder. Several well established linkages have emerged in schizophrenia. Strongly support...

2005 Journal of Medical Genetics 569 citations

The neuroanatomy of autism

Frances Abell , Michael Krams , John Ashburner +6 more

Autism is a biological disorder which affects social cognition, and understanding brain abnormalities of the former will elucidate the brain basis of the latter. We report struc...

1999 Neuroreport 478 citations

Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels

Richa Saxena , Benjamin F. Voight , Valeriya Lyssenko +64 more

New strategies for prevention and treatment of type 2 diabetes (T2D) require improved insight into disease etiology. We analyzed 386,731 common single-nucleotide polymorphisms (...

2007 Science 2875 citations

A Genome-Wide Association Study of Type 2 Diabetes in Finns Detects Multiple Susceptibility Variants

Laura J. Scott , Karen L. Mohlke , Lori L. Bonnycastle +38 more

Identifying the genetic variants that increase the risk of type 2 diabetes (T2D) in humans has been a formidable challenge. Adopting a genome-wide association strategy, we genot...

2007 Science 2757 citations

Publication Info

Year: 2008
Type: review
Volume: 14
Issue: 1
Pages: 10-17
Citations: 207
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

A framework for interpreting genome-wide association studies of psychiatric disorders

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

207

OpenAlex

Cite This

APA Style

                            
                                
                                    S. Chicon, 
                                
                                    Nick Craddock, 
                                
                                    Mary B. Daly
                                
                                et al.
                            
                            (2008). 
                            A framework for interpreting genome-wide association studies of psychiatric disorders. 
                            Molecular Psychiatry
                            , 14
                            (1)
                            , 10-17.
                            https://doi.org/10.1038/mp.2008.126
                        

Identifiers

DOI: 10.1038/mp.2008.126