Ashbrook D G, Mulligan M K, Williams R W
Department of Genetics, Genomics and Informatics, University of Tennessee Health Sciences Center, College of Medicine, Memphis, Tennessee.
Genes Brain Behav. 2018 Mar;17(3):e12441. doi: 10.1111/gbb.12441. Epub 2017 Dec 21.
What was once expensive and revolutionary-full-genome sequence-is now affordable and routine. Costs will continue to drop, opening up new frontiers in behavioral genetics. This shift in costs from the genome to the phenome is most notable in large clinical studies of behavior and associated diseases in cohorts that exceed hundreds of thousands of subjects. Examples include the Women's Health Initiative (www.whi.org), the Million Veterans Program (www.
va.gov/MVP), the 100 000 Genomes Project (genomicsengland.co.uk) and commercial efforts such as those by deCode (www.decode.com) and 23andme (www.23andme.com). The same transition is happening in experimental neuro- and behavioral genetics, and sample sizes of many hundreds of cases are becoming routine (www.genenetwork.org, www.mousephenotyping.org). There are two major consequences of this new affordability of massive omics datasets: (1) it is now far more practical to explore genetic modulation of behavioral differences and the key role of gene-by-environment interactions. Researchers are already doing the hard part-the quantitative analysis of behavior. Adding the omics component can provide powerful links to molecules, cells, circuits and even better treatment. (2) There is an acute need to highlight and train behavioral scientists in how best to exploit new omics approaches. This review addresses this second issue and highlights several new trends and opportunities that will be of interest to experts in animal and human behaviors.
曾经昂贵且具有革命性的全基因组测序,如今已变得价格亲民且成为常规操作。成本将持续下降,为行为遗传学开辟新的前沿领域。从基因组到表型组的成本转变,在涉及数十万受试者的行为及相关疾病大型临床研究中最为显著。例如妇女健康倡议(www.whi.org)、百万退伍军人计划(www.va.gov/MVP)、10万基因组计划(genomicsengland.co.uk)以及像 deCode(www.decode.com)和 23andMe(www.23andme.com)这样的商业项目。同样的转变也发生在实验神经和行为遗传学领域,数百例样本规模正变得常规化(www.genenetwork.org,www.mousephenotyping.org)。大规模组学数据集成本的这种新的可承受性带来两个主要后果:(1)现在探索行为差异的基因调控以及基因与环境相互作用的关键作用要实际得多。研究人员已经在进行艰难的部分——行为的定量分析。加入组学成分可以提供与分子、细胞、回路的有力联系,甚至更好的治疗方法。(2)迫切需要向行为科学家强调并培训如何最好地利用新的组学方法。本综述探讨了第二个问题,并突出了动物和人类行为专家将会感兴趣的几个新趋势和机会。