The NLSY Kinship Links: Using the NLSY79 and NLSY-Children Data to Conduct Genetically-Informed and Family-Oriented Research

The NLSY Kinship Links: Using the NLSY79 and NLSY-Children Data to Conduct Genetically-Informed and Family-Oriented Research

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, wi...

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Bibliographic Details
Published in:Behavior genetics Vol. 46; no. 4; pp. 538 - 551
Main Authors: 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.
Format: Journal Article
Language:English
Published: New York Springer US 01-07-2016
Springer Nature B.V
Subjects:
Academic achievement
Behavior
Behavioral Science and Psychology
Behavioral sciences
Birth order
Child
Children
Children & youth
Clinical Psychology
Databases as Topic
Datasets
Family
Genetics, Behavioral
Health Psychology
Humans
Kinship
Longitudinal Studies
Pedigree
Phenotypes
Polls & surveys
Psychology
Public Health
Release
Researchers
Review
ROC Curve
Sampling
Teams
Young adults
Youth
Cleveland Ohio
United States > US
Oklahoma
NLSYC
NLSY97
Behavior genetics
NLSY79
Kinship links
Cousins
Biometrical modeling
Siblings
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Summary: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.
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ISSN:0001-8244
1573-3297
DOI:10.1007/s10519-016-9785-3