Geschwind Daniel H, Konopka Genevieve
Program in Neurogenetics and Neurobehavioural Genetics, Department of Neurology and Semel Institute, David Geffen School of Medicine, Los Angeles, California 90095, USA.
Nature. 2009 Oct 15;461(7266):908-15. doi: 10.1038/nature08537.
Advances in genetics and genomics have fuelled a revolution in discovery-based, or hypothesis-generating, research that provides a powerful complement to the more directly hypothesis-driven molecular, cellular and systems neuroscience. Genetic and functional genomic studies have already yielded important insights into neuronal diversity and function, as well as disease. One of the most exciting and challenging frontiers in neuroscience involves harnessing the power of large-scale genetic, genomic and phenotypic data sets, and the development of tools for data integration and mining. Methods for network analysis and systems biology offer the promise of integrating these multiple levels of data, connecting molecular pathways to nervous system function.
遗传学和基因组学的进展推动了基于发现或假设生成的研究革命，为更直接由假设驱动的分子、细胞和系统神经科学提供了有力补充。遗传和功能基因组学研究已经在神经元多样性、功能以及疾病方面取得了重要见解。神经科学中最令人兴奋且最具挑战性的前沿领域之一，涉及利用大规模遗传、基因组和表型数据集的力量，以及开发数据整合和挖掘工具。网络分析和系统生物学方法有望整合这些多层次数据，将分子途径与神经系统功能联系起来。
