Sibling aggregation of low- and high-density lipoprotein cholesterol and apolipoproteins B and A-I levels in black and white children: the Bogalusa Heart Study. 1997

W Chen, and S R Srinivasan, and W Bao, and W A Wattigney, and G S Berenson
Tulane Center for Cardiovascular Health, School of Public Health & Tropical Medicine, Tulane University Medical Center, New Orleans, Louisiana 70112-2824, USA.

OBJECTIVE To examine sibling aggregation of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), apolipoprotein (apo) B and apo A-I in white versus black school-aged children. METHODS Study subjects included 790 full sibships representing 1305 sibpairs aged 5 to 17 years from a biracial community. METHODS Intraclass correlation coefficients estimated by analyses of covariance were used to examine sibling aggregation of LDL-C, HDL-C, apo B and apo A-I. The influences of obesity and other lifestyle variables on sibpair differences in LDL-C, HDL-C, apo B and apo A-I were evaluated in black and white children by stepwise multiple regression analyses. RESULTS Intraclass correlation coefficients for LDL-C and apo B in black children were lower than those in white children (0.17 and 0.11 versus 0.32 and 0.33, respectively, P < 0.05-0.01); no racial difference was found for HDL-C and apo A-I. Intraclass correlation coefficients for LDL-C and HDL-C were similar to that of apo B and apo A-I, respectively and the sibpair differences in LDL-C and HDL-C were correlated with those of apo B and apo A-I, respectively (P < 0.01). Obesity exerted a greater effect on sibpair differences in LDL-C, HDL-C and apo B in black children than in white children. CONCLUSIONS These results suggest that the hereditary influence on LDL-C and apo B is more important in white children than in black children, especially for apo B. Further, genetic influence on LDL-C versus apo B, or HDL-C versus apo A-I may be similar.

UI MeSH Term Description Entries
D008076 Cholesterol, HDL Cholesterol which is contained in or bound to high-density lipoproteins (HDL), including CHOLESTEROL ESTERS and free cholesterol. High Density Lipoprotein Cholesterol,Cholesterol, HDL2,Cholesterol, HDL3,HDL Cholesterol,HDL(2) Cholesterol,HDL(3) Cholesterol,HDL2 Cholesterol,HDL3 Cholesterol,alpha-Lipoprotein Cholesterol,Cholesterol, alpha-Lipoprotein,alpha Lipoprotein Cholesterol
D008078 Cholesterol, LDL Cholesterol which is contained in or bound to low density lipoproteins (LDL), including CHOLESTEROL ESTERS and free cholesterol. LDL Cholesterol,Cholesteryl Linoleate, LDL,LDL Cholesteryl Linoleate,Low Density Lipoprotein Cholesterol,beta-Lipoprotein Cholesterol,Cholesterol, beta-Lipoprotein,beta Lipoprotein Cholesterol
D008145 Louisiana State bounded by Arkansas on the north, by Mississippi on the east, the Gulf of Mexico on the south and Texas on the west.
D008297 Male Males
D009679 Nuclear Family A family composed of spouses and their children. Daughters,Sons,Daughter,Families, Nuclear,Family, Nuclear,Nuclear Families,Son
D012042 Registries The systems and processes involved in the establishment, support, management, and operation of registers, e.g., disease registers. Parish Registers,Population Register,Parish Register,Population Registers,Register, Parish,Register, Population,Registers, Parish,Registers, Population,Registry
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002675 Child, Preschool A child between the ages of 2 and 5. Children, Preschool,Preschool Child,Preschool Children
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional

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