Imaging Genetics Center, Laboratory of Neuro Imaging, University of California at Los Angeles School of Medicine, Los Angeles, CA 90095, USA.
Proc Natl Acad Sci U S A. 2013 Mar 19;110(12):4768-73. doi: 10.1073/pnas.1216206110. Epub 2013 Mar 5.
Aberrant connectivity is implicated in many neurological and psychiatric disorders, including Alzheimer's disease and schizophrenia. However, other than a few disease-associated candidate genes, we know little about the degree to which genetics play a role in the brain networks; we know even less about specific genes that influence brain connections. Twin and family-based studies can generate estimates of overall genetic influences on a trait, but genome-wide association scans (GWASs) can screen the genome for specific variants influencing the brain or risk for disease. To identify the heritability of various brain connections, we scanned healthy young adult twins with high-field, high-angular resolution diffusion MRI. We adapted GWASs to screen the brain's connectivity pattern, allowing us to discover genetic variants that affect the human brain's wiring. The association of connectivity with the SPON1 variant at rs2618516 on chromosome 11 (11p15.2) reached connectome-wide, genome-wide significance after stringent statistical corrections were enforced, and it was replicated in an independent subsample. rs2618516 was shown to affect brain structure in an elderly population with varying degrees of dementia. Older people who carried the connectivity variant had significantly milder clinical dementia scores and lower risk of Alzheimer's disease. As a posthoc analysis, we conducted GWASs on several organizational and topological network measures derived from the matrices to discover variants in and around genes associated with autism (MACROD2), development (NEDD4), and mental retardation (UBE2A) significantly associated with connectivity. Connectome-wide, genome-wide screening offers substantial promise to discover genes affecting brain connectivity and risk for brain diseases.
异常的连接与许多神经和精神疾病有关,包括阿尔茨海默病和精神分裂症。然而,除了少数与疾病相关的候选基因外,我们对遗传在大脑网络中所起作用的程度知之甚少;我们甚至不太了解影响大脑连接的特定基因。双胞胎和基于家庭的研究可以对某一特征的总体遗传影响进行估计,但全基因组关联扫描(GWAS)可以筛选影响大脑或疾病风险的特定变体。为了确定各种大脑连接的遗传性,我们使用高场、高角度分辨率扩散 MRI 对健康的年轻成年双胞胎进行了扫描。我们采用 GWAS 来筛选大脑的连接模式,从而发现影响人类大脑布线的遗传变体。连接与 11 号染色体 rs2618516 处 SPON1 变异体的关联在经过严格的统计校正后达到了全基因组关联的显著水平,并且在独立的子样本中得到了复制。rs2618516 被证明会影响具有不同痴呆程度的老年人群的大脑结构。携带连接变体的老年人的临床痴呆评分明显更轻,患阿尔茨海默病的风险也更低。作为事后分析,我们对从矩阵中得出的几个组织和拓扑网络度量标准进行了 GWAS,以发现与自闭症(MACROD2)、发育(NEDD4)和智力障碍(UBE2A)相关的基因周围和内部与连接显著相关的变体。全连接组、全基因组筛查为发现影响大脑连接和大脑疾病风险的基因提供了很大的希望。