Genome-wide association analysis of gender differences in major depressive disorder in the Netherlands NESDA and NTR population-based samples
Genome-wide association analysis of gender differences in major depressive disorder in the Netherlands NESDA and NTR population-based samples
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DOI：
10.1016/j.jad.2011.04.054
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发表时间：
2011-10-01
影响因子：
6.6
通讯作者：
Pan, Yue
中科院分区：
文献类型：
--
作者：
Aragam, Nagesh;Wang, Ke-Sheng;Pan, Yue
背景：重度抑郁症 (MDD) 是一种普遍流行的、遗传和环境依赖性的精神疾病，它使各种文化、种族、性别和年龄的人都患有残疾。虽然MDD的性别差异已在文献中广泛报道，但迄今为止对性别差异的全基因组分析还很少报道。 方法：我们使用荷兰NESDA和NTR基于人群的样本（1726例病例和1630例对照）对MDD的性别差异进行了全基因组关联分析。使用PLINK软件分析Perlegen 600 K SNP芯片的全基因组关联数据。结果：我们鉴定了40个男性特异性和56个女性特异性MDD相关SNP，其P值小于10(-4)。最佳的男性特异性SNP是LGSN基因内的rs9352774 (P= 2.26 x 10(-6))，而最佳的女性特异性SNP是PCLO基因内的rs2715148 (P= 5.64 x 10(-7))。我们还发现了 38 个 SNP，显示基因 x 性别相互作用对 MDD 的影响（P
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 x 10(-6)) within LGSN gene while the best female-specific SNP was rs2715148 (P= 5.64 x 10(-7)) within PCLO gene. We also found 38 SNPs showing gene x gender interactions in influencing MDD (P