Evidence for multiple determinants of the body mass index: The national heart, lung, and blood institute family heart study

Ingrid B. Borecki, Millicent Higgins, Pamela J. Schreiner, Donna K. Arnett, Elizabeth Mayer-Davis, Steven C. Hunt, Michael A. Province

Research output: Contribution to journalArticlepeer-review

60 Scopus citations


The body mass index (BMI) is a complex phenotype representing the amount of fat mass, lean mass, body build and proportions, and it is likely to be affected by various metabolic processes, hormonal effects, energy intake and expenditure, and interactions within and among these broad categories of etiologic factors. Nonetheless, several previous studies have reported evidence for major gene segregation for the BMI in various populations. Data on a random sample of Caucasian families participating in the National Heart, Lung, and Blood Institute (NHLBI) Family Heart Study were analyzed to document the extent of familial resemblance and to investigate whether a similar monogenic inheritance pattern could be detected. Genetic analysis was carried out on age- and sex-adjusted BMI values. Familial correlations were significant implying a maximal heritability, including all genetic and environmentally inherited additive factors, of 41% to 59%. Segregation analysis revealed the presence of two maximum likelihood solutions, one characterized as a recessive Mendelian gene and the other as a major effect with an ambiguous transmission pattern. The presence of two such solutions is consistent with detection of two separate factors, each influencing the BMI distribution in a substantive manner. The evidence also supports a multifactorial background for BMI and suggests that the frequencies of these two factors, one of which appears to be a gene, may vary among diverse populations in the United States.

Original languageEnglish
Pages (from-to)107-114
Number of pages8
JournalObesity research
Issue number2
StatePublished - 1998


  • Major gene
  • Obesity
  • Phenocopies
  • Population heterogeneity
  • Segregation analysis


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