Xia K, Zhang J, Ahn M, Jha S, Crowley J J, Szatkiewicz J, Li T, Zou F, Zhu H, Hibar D, Thompson P, Sullivan P F, Styner M, Gilmore J H, Knickmeyer R C
Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
Transl Psychiatry. 2017 Aug 1;7(8):e1188. doi: 10.1038/tp.2017.159.
Genome-wide association studies (GWAS) of adolescents and adults are transforming our understanding of how genetic variants impact brain structure and psychiatric risk, but cannot address the reality that psychiatric disorders are unfolding developmental processes with origins in fetal life. To investigate how genetic variation impacts prenatal brain development, we conducted a GWAS of global brain tissue volumes in 561 infants. An intronic single-nucleotide polymorphism (SNP) in IGFBP7 (rs114518130) achieved genome-wide significance for gray matter volume (P=4.15 × 10). An intronic SNP in WWOX (rs10514437) neared genome-wide significance for white matter volume (P=1.56 × 10). Additional loci with small P-values included psychiatric GWAS associations and transcription factors expressed in developing brain. Genetic predisposition scores for schizophrenia and ASD, and the number of genes impacted by rare copy number variants (CNV burden) did not predict global brain tissue volumes. Integration of these results with large-scale neuroimaging GWAS in adolescents (PNC) and adults (ENIGMA2) suggests minimal overlap between common variants impacting brain volumes at different ages. Ultimately, by identifying genes contributing to adverse developmental phenotypes, it may be possible to adjust adverse trajectories, preventing or ameliorating psychiatric and developmental disorders.
针对青少年和成年人的全基因组关联研究(GWAS)正在改变我们对基因变异如何影响脑结构和精神疾病风险的理解,但无法解决精神疾病是始于胎儿期的不断发展的过程这一现实。为了研究基因变异如何影响产前脑发育,我们对561名婴儿的全脑体积进行了GWAS。胰岛素样生长因子结合蛋白7(IGFBP7)中的一个内含子单核苷酸多态性(SNP,rs114518130)在灰质体积方面达到全基因组显著性水平(P = 4.15×10)。WWOX中的一个内含子SNP(rs10514437)在白质体积方面接近全基因组显著性水平(P = 1.56×10)。其他P值较小的位点包括精神疾病GWAS关联以及在发育中的大脑中表达的转录因子。精神分裂症和自闭症谱系障碍(ASD)的遗传易感性评分以及受罕见拷贝数变异影响的基因数量(CNV负担)并不能预测全脑体积。将这些结果与针对青少年(PNC)和成年人(ENIGMA2)的大规模神经影像学GWAS相结合,表明影响不同年龄段脑体积的常见变异之间几乎没有重叠。最终,通过识别导致不良发育表型的基因,有可能调整不良轨迹,预防或改善精神疾病和发育障碍。