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

Joseph Lee Rodgers; William H. Beasley; David E. Bard; Kelly M. Meredith; Michael D. Hunter; Amber B. Johnson; Maury Buster; Chengchang Li; Kim O. May; S. Mason Garrison; Warren B. Miller; Edwin van den Oord; David C. Rowe

doi:10.1007/s10519-016-9785-3

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

Joseph Lee Rodgers, William H. Beasley, David E. Bard, Kelly M. Meredith, Michael D. Hunter, Amber B. Johnson, Maury Buster, Chengchang Li, Kim O. May, S. Mason Garrison, Warren B. Miller, Edwin van den Oord, David C. Rowe

Research output: Contribution to journal › Review article › peer-review

19 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	538-551
Number of pages	14
Journal	Behavior Genetics
Volume	46
Issue number	4
DOIs	https://doi.org/10.1007/s10519-016-9785-3
State	Published - Jul 1 2016

All Science Journal Classification (ASJC) codes

Ecology, Evolution, Behavior and Systematics
Genetics
Genetics(clinical)

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Rodgers, J. L., Beasley, W. H., Bard, D. E., Meredith, K. M., D. Hunter, M., Johnson, A. B., Buster, M., Li, C., May, K. O., Mason Garrison, S., Miller, W. B., van den Oord, E., & Rowe, D. C. (2016). The NLSY Kinship Links: Using the NLSY79 and NLSY-Children Data to Conduct Genetically-Informed and Family-Oriented Research. Behavior Genetics, 46(4), 538-551. https://doi.org/10.1007/s10519-016-9785-3

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

abstract = "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.",

author = "Rodgers, {Joseph Lee} and Beasley, {William H.} and Bard, {David E.} and Meredith, {Kelly M.} and {D. Hunter}, Michael and Johnson, {Amber B.} and Maury Buster and Chengchang Li and May, {Kim O.} and {Mason Garrison}, S. and Miller, {Warren B.} and {van den Oord}, Edwin and Rowe, {David C.}",

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Rodgers, JL, Beasley, WH, Bard, DE, Meredith, KM, D. Hunter, M, Johnson, AB, Buster, M, Li, C, May, KO, Mason Garrison, S, Miller, WB, van den Oord, E & Rowe, DC 2016, 'The NLSY Kinship Links: Using the NLSY79 and NLSY-Children Data to Conduct Genetically-Informed and Family-Oriented Research', Behavior Genetics, vol. 46, no. 4, pp. 538-551. https://doi.org/10.1007/s10519-016-9785-3

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AU - Rodgers, Joseph Lee

AU - Beasley, William H.

AU - Bard, David E.

AU - Meredith, Kelly M.

AU - D. Hunter, Michael

AU - Johnson, Amber B.

AU - Buster, Maury

AU - Li, Chengchang

AU - May, Kim O.

AU - Mason Garrison, S.

AU - Miller, Warren B.

AU - van den Oord, Edwin

AU - Rowe, David C.

PY - 2016/7/1

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N2 - 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.

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

Abstract

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