Genetic studies of major depressive disorder: Why are there no genome-wide association study findings and what can we do about it?

Biological Psychiatry

Volumn 76, Issue 7, 2014, Pages 510-512

  Levinson, Douglas F ^a,h   Mostafavi, Sara ^b,i   Milaneschi, Yuri ^c,j   Rivera, Margarita ^d   Ripke, Stephan ^e   Wray, Naomi R ^f   Sullivan, Patrick F ^g  

^a Psychiatry and Behavioral Sciences   (United States)

^b STANFORD UNIVERSITY   (United States)

^c Department of Psychiatry ^*  (Netherlands)

^d VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^e KING'S COLLEGE LONDON   (United Kingdom)

^f UNIVERSITY OF GRANADA   (Spain)

^g BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^h MASSACHUSETTS GENERAL HOSPITAL   (United States)

ⁱ UNIVERSITY OF QUEENSLAND   (Australia)

^j UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

NUCLEIC ACID;

BIPOLAR DISORDER; COPY NUMBER VARIATION; CROHN DISEASE; DISEASE PREDISPOSITION; GENETIC ASSOCIATION; GENETIC RISK; GENOMICS; GENOTYPE PHENOTYPE CORRELATION; HERITABILITY; HUMAN; MAJOR CLINICAL STUDY; MAJOR DEPRESSION; MAXIMUM LIKELIHOOD METHOD; MENTAL DISEASE; MOOD DISORDER; NOTE; PREVALENCE; PRIORITY JOURNAL; SAMPLE SIZE; SCHIZOPHRENIA; SINGLE NUCLEOTIDE POLYMORPHISM; FEMALE; GENETICS; MALE;

DEPRESSIVE DISORDER, MAJOR; DNA COPY NUMBER VARIATIONS; FEMALE; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MALE; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84922544557     PISSN: 00063223     EISSN: 18732402     Source Type: Journal    
DOI: 10.1016/j.biopsych.2014.07.029     Document Type: Note

References (10)

1. Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium, Ripke S, Wray NR, Lewis CM, Hamilton SP, Weissman MM, et al. (2013): A mega-analysis of genome-wide association studies for major depressive disorder. Mol Psychiatry 18:497-511.
2. Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014): Biological insights from 108 schizophrenia-associated genetic loci. Nature 511:421-427.
3. Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium (2011): Genome-wide association study identifies five new schizophrenia loci. Nat Genet 43:969-976.
4. Panagiotou OA, Willer CJ, Hirschhorn JN, Ioannidis JP (2013): The power of meta-analysis in genome-wide association studies. Annu Rev Genomics Hum Genet 14:441-465.
5. Yang J, Benyamin B, McEvoy BP, Gordon S, Henders AK, Nyholt DR, et al. (2010): Common SNPs explain a large proportion of the heritability for human height. Nat Genet 42:565-569.
6. Cross-Disorder Group of the Psychiatric Genomics Consortium, Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, et al. (2013): Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nat Genet 45:984-994.
7. International Schizophrenia Consortium, Purcell SM, Wray NR, Stone JL, Visscher PM, O'Donovan MC, et al. (2009): Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature 460: 748-752.
8. Wray NR, Lee SH, Kendler KS (2012): Impact of diagnostic misclassification on estimation of genetic correlations using genome-wide genotypes. Eur J Hum Genet 20:668-674.
9. Manchia M, Cullis J, Turecki G, Rouleau GA, Uher R, Alda M (2013): The impact of phenotypic and genetic heterogeneity on results of genome wide association studies of complex diseases. PloS One 8:e76295.
10. Kendler KS, Prescott CA, Myers J, Neale MC (2003): The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Arch Gen Psychiatry 60:929-937.