BACKGROUND:The study of parent-child anthropometric relationships and their evolution over time may help to better understand familial risk factors for childhood obesity. METHODS: In a population-based cohort of 124 nuclear families (Fleurbaix-Laventie Ville Santé Study (FLVS) I and II), various anthropometric parameters were measured in both parents and their children, first when the children were prepubescent and again at the end of puberty. Troncular adiposity repartition was estimated by calculating troncular to peripheral skinfolds ratio and waist-to-hip circumferences ratio. Birth and infancy heights and weights were also obtained from the children's health booklets. Parent-child correlations were estimated in infancy, before and at the end of the child's puberty. A prospective analysis was performed to predict the changes in the children's measurements over puberty according to their parents' corresponding baseline values. RESULTS: BMI and weight correlations at birth were high (40.30) with the mother and low (o0.10) with the father, then they converged to an intermediate level at 2 y and remained between 0.2 and 0.3 thereafter. Correlations for waist circumference were already present at the prepubertal period and persisted on the same level at the postpubertal period, whereas correlations for subcutaneous adiposity -measured by four skinfolds -and for adiposity distribution -measured by ratios -were higher at the postpubertal period. Moreover, the prospective approach showed that mother's BMI predicted the evolution of her children's BMI over puberty, whereas this relationship was observed more specifically with the father concerning adiposity distribution parameters. CONCLUSION: Maternal adiposity may act early in life on the adiposity of the child. Maternal and paternal adiposities seem to have quite distinct effects at two key periods of the child's adiposity development such as the prenatal and pubertal periods.

A segregation analysis using a regressive model with generation- and age-dependent effects was applied to familial data of height-adjusted weight to investigate the major gene hypothesis. The sample included 629 nuclear families with 2,534 members volunteering for a free health check-up in the Preventive Medicine Center of Vandoeuvre-lès-Nancy, France. The familial correlations were 0.094 +/- 0.040 between spouses, 0.198 +/- 0.023 between parent and offspring, and 0.327 +/- 0.034 between siblings. The variability of the trait was higher in parents than in offspring. The most parsimonious genetic model indicated a codominant major effect increasing with age in childhood, then stabilizing in adulthood. The same data were analyzed using the classical mixed model, assuming equality of variances between parents and offspring, no resemblance between spouses, similar parent-offspring and sib-sib correlations, and identical effects in parents and offspring. This analysis indicated a recessive solution. In both analyses, mendelian transmission was rejected. However, the mixture of two distributions in the recessive model, instead of three in the codominant one, was less constraining with respect to the test of transmission probabilities, and the rejection of mendelian transmission was due to a single family in the recessive case, instead of several families in the codominant one. This could possibly explain why previous studies, all using the mixed model, found evidence for a recessive major gene. Although the major gene hypothesis cannot be definitely ruled out from our results, the mechanism appears more complex than the effect of one single gene.

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