Support is requested for a five-component project lasting four years. Recent work by our team has documented the empirical existence of genetic influences on both fertility outcomes and their precursors (including menarche, sexual initiation, fertility expectations, and pregnancy). In addition, genotype x environment interactions have been identified, such as historical changes in the heritability of fertility in relation to fertility transition. The proposed work extends previous results both empirically and theoretically. This research will be motivated by three theoretical perspectives: in the biological domain by Fisher's Fundamental Theorem of Natural Selection; in the demographic domain in relation to fertility transition; and in the behavior genetic domain in relation to an emerging theoretical structure originally developed by Udry suggesting how genetic and environmental influences should trade off in relation to the level of volitional control over fertility within the society. Future work can expand our understanding within each theoretical context. The proposed research is methodologically innovative in several different ways: We expand past univariate kinship designs into multivariate kinship designs; we combine applications of univariate DF Analyses and multivariate Mx Analyses; and we combine data from the NLSY-Youth with the NLSY-Children dataset. The NLSY kinship links are identified through the kinship linking algorithms that have been developed in past work by this team. These efforts are organized into four research projects and one data management project. Research Project #1 investigates the overlapping genetic basis for a whole range of fertility variables among females in the NLSY-Youth data. Next, the data management project is devoted to redefinition of the kinship structure of the NLSY-Children dataset, a prerequisite for conducting Research Projects #2 through #4. Research Project #2 investigates the overlapping genetic and environmental structure for the early fertility behaviors in the NLSY-Children data. Research Project #3 is baseed on a new inter-generational kinship design in which mother-daughter pairs are compared to aunt-niece pairs. Finally, Research Project #4 investigates the various moderating and mediating influences on the patterns found in Research Projects #1-#2. Potential moderators/mediators include education, family structure, and quality of the family environment.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Research Project (R01)
Project #
5R01HD043265-02
Application #
6773220
Study Section
Social Sciences, Nursing, Epidemiology and Methods 4 (SNEM)
Program Officer
King, Rosalind B
Project Start
2003-07-07
Project End
2007-06-30
Budget Start
2004-07-01
Budget End
2005-06-30
Support Year
2
Fiscal Year
2004
Total Cost
$264,447
Indirect Cost
Name
University of Oklahoma Norman
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
848348348
City
Norman
State
OK
Country
United States
Zip Code
73019
Rodgers, Joseph Lee; Beasley, William H; Bard, David E et al. (2016) The NLSY Kinship Links: Using the NLSY79 and NLSY-Children Data to Conduct Genetically-Informed and Family-Oriented Research. Behav Genet 46:538-51
Jaffee, Sara R; Van Hulle, Carol; Rodgers, Joseph L (2011) Effects of nonmaternal care in the first 3 years on children's academic skills and behavioral functioning in childhood and early adolescence: a sibling comparison study. Child Dev 82:1076-91
Miller, Warren B; Bard, David E; Pasta, David J et al. (2010) Biodemographic modeling of the links between fertility motivation and fertility outcomes in the NLSY79. Demography 47:393-414
Ang, Siewching; Rodgers, Joseph Lee; Wänström, Linda (2010) The Flynn Effect within Subgroups in the U.S.: Gender, Race, Income, Education, and Urbanization Differences in the NLSY-Children Data. Intelligence 38:367-384
Miller, Warren B; Rodgers, Joseph Lee; Pasta, David J (2010) Fertility motivations of youth predict later fertility outcomes: a prospective analysis of national longitudinal survey of youth data. Biodemography Soc Biol 56:1-23
Rodgers, Joseph Lee; Bard, David E; Johnson, Amber et al. (2008) The cross-generational mother-daughter-aunt-niece design: establishing validity of the MDAN design with NLSY fertility variables. Behav Genet 38:567-78
Rodgers, Joseph Lee; Bard, David E; Miller, Warren B (2007) Multivariate Cholesky models of human female fertility patterns in the NLSY. Behav Genet 37:345-61
Van Hulle, Carol A; Rodgers, Joseph L; D'Onofrio, Brian M et al. (2007) Sex differences in the causes of self-reported adolescent delinquency. J Abnorm Psychol 116:236-48
Lee Rodgers, Joseph; Kohler, Hans-Peter (2005) Reformulating and simplifying the DF analysis model. Behav Genet 35:211-7