Maillard A M, Ruef A, Pizzagalli F, Migliavacca E, Hippolyte L, Adaszewski S, Dukart J, Ferrari C, Conus P, Männik K, Zazhytska M, Siffredi V, Maeder P, Kutalik Z, Kherif F, Hadjikhani N, Beckmann J S, Reymond A, Draganski B, Jacquemont S
Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland.
LREN-Département des neurosciences cliniques, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland.
Mol Psychiatry. 2015 Feb;20(1):140-7. doi: 10.1038/mp.2014.145. Epub 2014 Nov 25.
Anatomical structures and mechanisms linking genes to neuropsychiatric disorders are not deciphered. Reciprocal copy number variants at the 16p11.2 BP4-BP5 locus offer a unique opportunity to study the intermediate phenotypes in carriers at high risk for autism spectrum disorder (ASD) or schizophrenia (SZ). We investigated the variation in brain anatomy in 16p11.2 deletion and duplication carriers. Beyond gene dosage effects on global brain metrics, we show that the number of genomic copies negatively correlated to the gray matter volume and white matter tissue properties in cortico-subcortical regions implicated in reward, language and social cognition. Despite the near absence of ASD or SZ diagnoses in our 16p11.2 cohort, the pattern of brain anatomy changes in carriers spatially overlaps with the well-established structural abnormalities in ASD and SZ. Using measures of peripheral mRNA levels, we confirm our genomic copy number findings. This combined molecular, neuroimaging and clinical approach, applied to larger datasets, will help interpret the relative contributions of genes to neuropsychiatric conditions by measuring their effect on local brain anatomy.
将基因与神经精神疾病联系起来的解剖结构和机制尚未被破解。16p11.2 BP4 - BP5位点的相互拷贝数变异为研究自闭症谱系障碍(ASD)或精神分裂症(SZ)高风险携带者的中间表型提供了独特的机会。我们研究了16p11.2缺失和重复携带者的脑解剖结构变异。除了基因剂量对全脑指标的影响外,我们还发现基因组拷贝数与涉及奖赏、语言和社会认知的皮质 - 皮质下区域的灰质体积和白质组织特性呈负相关。尽管在我们的16p11.2队列中几乎没有ASD或SZ诊断病例,但携带者的脑解剖结构变化模式在空间上与ASD和SZ中已确定的结构异常重叠。通过测量外周mRNA水平,我们证实了基因组拷贝数的研究结果。这种结合分子、神经影像学和临床的方法应用于更大的数据集,将有助于通过测量基因对局部脑解剖结构的影响来解释基因对神经精神疾病的相对贡献。