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Author: Johnson, Amber

Resulting in 4 citations.

1.	Rodgers, Joseph Lee Bard, David E. Johnson, Amber D'Onofrio, Brian M. Miller, Warren B.
1.	The Cross-Generational Mother–Daughter–Aunt–Niece Design: Establishing Validity of the MDAN Design with NLSY Fertility Variables Behavior Genetics 38,6 (November 2008): 567-578. Also: http://www.springerlink.com/content/x75521h0l957w296/ Cohort(s): Children of the NLSY79, NLSY79 Publisher: Behavior Genetics Association Keyword(s): Behavior; Fertility; Genetics; Inheritance; Kinship; Mothers and Daughters; Siblings Permission to reprint the abstract has not been received from the publisher. Using National Longitudinal Survey of Youth (NLSY) fertility variables, we introduce and illustrate a new genetically-informative design. First, we develop a kinship linking algorithm, using the NLSY79 and the NLSY-Children data to link mothers to daughters and aunts to nieces. Then we construct mother–daughter correlations to compare to aunt–niece correlations, an MDAN design, within the context of the quantitative genetic model. The results of our empirical illustration, which uses DF Analysis and generalized estimation equations (GEE) to estimate biometrical parameters from NLSY79 sister–sister pairs and their children in the NLSY-Children dataset, provide both face validity and concurrent validity in support of the efficacy of the design. We describe extensions of the MDAN design. Compared to the typical within-generational design used in most behavior genetic research, the cross-generational feature of this design has certain advantages and interesting features. In particular, we note that the equal environment assumption of the traditional biometrical model shifts in the context of a cross-generational design. These shifts raise questions and provide motivation for future research using the MDAN and other cross-generational designs. [ABSTRACT FROM AUTHOR] Copyright of Behavior Genetics is the property of Springer Science & Business Media B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts)
	Bibliography Citation Rodgers, Joseph Lee, David E. Bard, Amber Johnson, Brian M. D'Onofrio and Warren B. Miller. "The Cross-Generational Mother–Daughter–Aunt–Niece Design: Establishing Validity of the MDAN Design with NLSY Fertility Variables." Behavior Genetics 38,6 (November 2008): 567-578.

2.	Rodgers, Joseph Lee Beasley, William H. Bard, David E. Meredith, Kelly M. Hunter, Michael D. Johnson, Amber Buster, Maury Allen Li, Chengchang
2.	The NLSY Kinship Links: Using the NLSY79 and NLSY-Children Data to Conduct Genetically-Informed and Family-Oriented Research Behavior Genetics 46,4 (July 2016): 538-551. Also: http://link.springer.com/article/10.1007/s10519-016-9785-3 Cohort(s): Children of the NLSY79, NLSY79 Publisher: Behavior Genetics Association Keyword(s): Body Mass Index (BMI); Data Quality/Consistency; Genetics; Height; Intergenerational Patterns/Transmission; Kinship; Modeling, Multilevel; Siblings; Weight Permission to reprint the abstract has not been received from the publisher. 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.
	Bibliography Citation Rodgers, Joseph Lee, William H. Beasley, David E. Bard, Kelly M. Meredith, Michael D. Hunter, Amber Johnson, Maury Allen Buster and Chengchang Li. "The NLSY Kinship Links: Using the NLSY79 and NLSY-Children Data to Conduct Genetically-Informed and Family-Oriented Research." Behavior Genetics 46,4 (July 2016): 538-551.

3.	Rodgers, Joseph Lee Johnson, Amber Bard, David E.
3.	Inferring Sibling Relatedness from the NLSY Youth and Children Data: Past, Present, and Future Prospects Presented: Los Angeles, CA, Population Association of America (PAA) Annual Meetings, March-April 2006 Cohort(s): Children of the NLSY79 Publisher: Population Association of America Keyword(s): Genetics; Height; Height, Height-Weight Ratios; Kinship; Modeling, Multilevel; Siblings; Weight Permission to reprint the abstract has not been received from the publisher. In a number of disciplinary arenas related to demography, the distinction between full, half, and adoptive siblings is highly relevant. Behavioral genetics requires information about genetic and environmental relatedness to fit biometrical models. Socialization researchers infer expected commitment -- and predicted social learning -- from these sibling categories. Family structure researchers rely on these distinctions as inputs to their models. However, despite its remarkable features and innovations, the National Longitudinal Survey of Youth data do not explicitly distinguish between full, half, and adoptive silbings. We report on our several kinship linking algorithms that infer sibling relatedness from other information in the NLSY and NLSYC. Internal validation procedures use height and weight information, and concurrent validity indicators compare NLSY sibling results to other sibling studies. Past successes and the current status of these efforts are reviewed, and plans to collect explicit sibling information for the NLSY is reported.
	Bibliography Citation Rodgers, Joseph Lee, Amber Johnson and David E. Bard. "Inferring Sibling Relatedness from the NLSY Youth and Children Data: Past, Present, and Future Prospects." Presented: Los Angeles, CA, Population Association of America (PAA) Annual Meetings, March-April 2006.

4.	Rodgers, Joseph Lee Van Hulle, Carol A. D'Onofrio, Brian M. Rathouz, Paul J. Beasley, Will Johnson, Amber Waldman, Irwin D. Lahey, Benjamin B.
4.	Behavior Problems and Timing of Menarche: A Developmental Longitudinal Biometrical Analysis Using the NLSY-Children Data Behavior Genetics 45,1 (January 2015): 51-70. Also: http://link.springer.com/article/10.1007/s10519-014-9676-4 Cohort(s): Children of the NLSY79, NLSY79 Young Adult Publisher: Behavior Genetics Association Keyword(s): Age at First Intercourse; Behavior Problems Index (BPI); Behavior, Antisocial; Kinship; Menarche/First Menstruation; Siblings Permission to reprint the abstract has not been received from the publisher. A powerful longitudinal data source, the National Longitudinal Survey of Youth Children data, allows measurement of behavior problems (BP) within a developmental perspective linking them to menarcheal timing (MT). In a preliminary analysis, we evaluate the bivariate relationships between BP measured at different developmental periods and the timing of menarche. Correlations were not consistent with any correlational/causal relationship between BP and MT. In the major part of our study, MT was used to moderate the developmental trajectory of BP, within a genetically-informed design. Girls reaching menarche early had behavior problem variance accounted for by the shared environment; those reaching menarche with average/late timing had behavior problem differences accounted for by genetic variance. Our findings match previous empirical results in important ways, and also extend those results. A theoretical interpretation is offered in relation to a theory linking genetic/shared environmental variance to flexibility and choices available within the family in relation to BP.
	Bibliography Citation Rodgers, Joseph Lee, Carol A. Van Hulle, Brian M. D'Onofrio, Paul J. Rathouz, Will Beasley, Amber Johnson, Irwin D. Waldman and Benjamin B. Lahey. "Behavior Problems and Timing of Menarche: A Developmental Longitudinal Biometrical Analysis Using the NLSY-Children Data." Behavior Genetics 45,1 (January 2015): 51-70.

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