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Differential diagnosis of bipolar disorder and major depressive disorder. Hirschfeld RM et al. J Affect Disord. (2014)

The mistreatment of major depressive disorder. Paris J et al. Can J Psychiatry. (2014)

Prevalence, risk factors and prognosis of depressive disorders. Markkula N et al. Duodecim. (2017)

J Affect Disord. 2011 Oct;133(3):516-21. doi: 10.1016/j.jad.2011.04.054. Epub 2011 May 28.

Genome-wide association analysis of gender differences in major depressive disorder in the Netherlands NESDA and NTR population-based samples.

Author information

1
Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA.

Abstract

BACKGROUND:

Major depressive disorder (MDD) is a universally prevalent, genetic, and environment dependent mental condition that disables people of every culture, race, gender, and age. While the gender differences for MDD have been widely reported in literature, few genome-wide analyses of gender differences have been reported to date.

METHODS:

We conducted a genome-wide association analysis of gender differences for MDD using the Netherlands NESDA and NTR population-based samples (1726 cases and 1630 controls). PLINK software was used to analyze the genome-wide association data of Perlegen 600 K SNP Chips.

RESULTS:

We identified 40 male-specific and 56 female-specific MDD associated SNPs with P-values less than 10(-4). The best male-specific SNP was rs9352774 (P=2.26 × 10(-6)) within LGSN gene while the best female-specific SNP was rs2715148 (P=5.64 × 10(-7)) within PCLO gene. We also found 38 SNPs showing gene × gender interactions in influencing MDD (P<10(-4)). The best SNP was rs12692709 (P=5.75 × 10(-6)) near FIGN gene at 2q24.3 while the next best SNP was rs11039588 (P=1.16 × 10(-5)) within OR4B1 gene.

LIMITATIONS:

The findings from this study need be replicated in other populations.

CONCLUSIONS:

These results provide genetic basis for gender differences in MDD and will serve as a resource for replication in other populations to elucidate the potential role of these genetic variants in MDD.

PMID:
21621269
DOI:
10.1016/j.jad.2011.04.054
[Indexed for MEDLINE]

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