Rodgers Joseph Lee, Beasley William H, Bard David E, Meredith Kelly M, D Hunter Michael, Johnson Amber B, Buster Maury, Li Chengchang, May Kim O, Mason Garrison S, Miller Warren B, van den Oord Edwin, Rowe David C
Department of Psychology and Human Development, Vanderbilt University, 230 Appleton Pl, 552, Hobbs 202C, Nashville, TN, 37203, USA.
University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Behav Genet. 2016 Jul;46(4):538-51. doi: 10.1007/s10519-016-9785-3. Epub 2016 Feb 25.
The National Longitudinal Survey of Youth datasets (NLSY79; NLSY-Children/Young Adults; NLSY97) have extensive family pedigree information contained within them. These data sources are based on probability sampling, a longitudinal design, and a cross-generational and within-family data structure, with hundreds of phenotypes relevant to behavior genetic (BG) researchers, as well as to other developmental and family researchers. These datasets provide a unique and powerful source of information for BG researchers. But much of the information required for biometrical modeling has been hidden, and has required substantial programming effort to uncover-until recently. Our research team has spent over 20 years developing kinship links to genetically inform biometrical modeling. In the most recent release of kinship links from two of the NLSY datasets, the direct kinship indicators included in the 2006 surveys allowed successful and unambiguous linking of over 94 % of the potential pairs. In this paper, we provide details for research teams interested in using the NLSY data portfolio to conduct BG (and other family-oriented) research.
全国青年纵向调查数据集(NLSY79;NLSY儿童/青年成年人;NLSY97)包含大量家庭谱系信息。这些数据源基于概率抽样、纵向设计以及跨代和家庭内部的数据结构,拥有数百种与行为遗传学(BG)研究人员以及其他发展和家庭研究人员相关的表型。这些数据集为BG研究人员提供了独特而强大的信息来源。但直到最近,生物统计学建模所需的许多信息一直被隐藏,需要大量编程工作才能挖掘出来。我们的研究团队花了20多年时间来建立亲属关系链接,以便为生物统计学建模提供遗传信息。在最近发布的两个NLSY数据集的亲属关系链接中,2006年调查中包含的直接亲属关系指标成功且明确地链接了超过94%的潜在配对。在本文中,我们为有兴趣使用NLSY数据集进行BG(以及其他面向家庭的)研究的研究团队提供详细信息。