scholarly journals Meta-analysis of genome-wide association data of bipolar disorder and major depressive disorder

2010 ◽  
Vol 16 (1) ◽  
pp. 2-4 ◽  
Author(s):  
Y Liu ◽  
◽  
D H Blackwood ◽  
S Caesar ◽  
E J C de Geus ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Meta Analysis ◽  
Genome Wide Association ◽  
Major Depressive ◽  
Genome Wide ◽  
Association Data

scholarly journals Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned

2010 ◽  
Vol 17 (1) ◽  
pp. 36-48 ◽  
Author(s):  
N R Wray ◽  
M L Pergadia ◽  
D H R Blackwood ◽  
B W J H Penninx ◽  
S D Gordon ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Meta Analysis ◽  
Lessons Learned ◽  
Genome Wide Association ◽  
Major Depressive ◽  
Genome Wide

scholarly journals Poor replication of candidate genes for major depressive disorder using genome-wide association data

2010 ◽  
Vol 16 (5) ◽  
pp. 516-532 ◽  
Author(s):  
F J Bosker ◽  
C A Hartman ◽  
I M Nolte ◽  
B P Prins ◽  
P Terpstra ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Candidate Genes ◽  
Genome Wide Association ◽  
Major Depressive ◽  
Genome Wide ◽  
Association Data

scholarly journals The genetics of the mood disorder spectrum: genome-wide association analyses of over 185,000 cases and 439,000 controls

2018 ◽  
Author(s):  
Jonathan R. I. Coleman ◽  
Héléna A. Gaspar ◽  
Julien Bryois ◽  
Gerome Breen ◽  
◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Major Depression ◽  
Depressive Disorder ◽  
Mood Disorders ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Major Depressive ◽  
Genome Wide ◽  
Genome Wide Significance

AbstractBackgroundMood disorders (including major depressive disorder and bipolar disorder) affect 10-20% of the population. They range from brief, mild episodes to severe, incapacitating conditions that markedly impact lives. Despite their diagnostic distinction, multiple approaches have shown considerable sharing of risk factors across the mood disorders.MethodsTo clarify their shared molecular genetic basis, and to highlight disorder-specific associations, we meta-analysed data from the latest Psychiatric Genomics Consortium (PGC) genome-wide association studies of major depression (including data from 23andMe) and bipolar disorder, and an additional major depressive disorder cohort from UK Biobank (total: 185,285 cases, 439,741 controls; non-overlapping N = 609,424).ResultsSeventy-three loci reached genome-wide significance in the meta-analysis, including 15 that are novel for mood disorders. More genome-wide significant loci from the PGC analysis of major depression than bipolar disorder reached genome-wide significance. Genetic correlations revealed that type 2 bipolar disorder correlates strongly with recurrent and single episode major depressive disorder. Systems biology analyses highlight both similarities and differences between the mood disorders, particularly in the mouse brain cell types implicated by the expression patterns of associated genes. The mood disorders also differ in their genetic correlation with educational attainment – positive in bipolar disorder but negative in major depressive disorder.ConclusionsThe mood disorders share several genetic associations, and can be combined effectively to increase variant discovery. However, we demonstrate several differences between these disorders. Analysing subtypes of major depressive disorder and bipolar disorder provides evidence for a genetic mood disorders spectrum.

scholarly journals Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder

2015 ◽  
Vol 72 (7) ◽  
pp. 642 ◽  
Author(s):  
Marleen H. M. de Moor ◽  
Stéphanie M. van den Berg ◽  
Karin J. H. Verweij ◽  
Robert F. Krueger ◽  
Michelle Luciano ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Association Studies ◽  
Meta Analysis ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Major Depressive ◽  
Genome Wide

Genome-wide association data provide further support for an association between 5-HTTLPR and major depressive disorder

2013 ◽  
Vol 146 (3) ◽  
pp. 438-440 ◽  
Author(s):  
Britta Haenisch ◽  
Stefan Herms ◽  
Manuel Mattheisen ◽  
Michael Steffens ◽  
Rene Breuer ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Genome Wide Association ◽  
Major Depressive ◽  
Genome Wide ◽  
Association Data
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