Gene-Specific Responses to Exercise in Discordant Twins
Condition: Atherosclerosis; Cardiovascular Diseases; Heart Diseases
MeSH terms: Cardiovascular Diseases; Heart Diseases; Atherosclerosis
Study type: Observational

Summary: 
      To test whether specific genes affect lipoprotein and weight responses to vigorous exercise
      in identical twins.
    

Detailed description: 
      BACKGROUND:

      It is well recognized that increased exercise is associated with a number of health benefits,
      which include decreases in level of obesity and improvement in lipoprotein levels.
      Differences have been found to exist, however, in individual response to increased exercise,
      suggesting that genetic factors may be involved in mediating this response. The elucidation
      of both the specific genes responsible for these differences and the manner by which they
      interact with increased exercise to influence lipoprotein levels and body weight would
      contribute significantly to increasing current understanding of the way in which genes and
      environment operate to determine these characteristics.

      DESIGN NARRATIVE:

      As part of the National Runners' Health Study, Dr. Williams and colleagues have identified
      1,350 runners who have an identical (MZ) twin. Their recruitment experience shows that an
      additional 3,120 MZ twins can be located nationally through Runner's World race participation
      program.Twenty-eight percent of these MZ twin pairs are expected to be discordant for
      vigorous exercise (sedentary versus running over 10 miles per week) and otherwise eligible
      for study. The investigators propose to obtain blood for genotyping, detailed lipoprotein
      subfraction measurements, clinic weights, and proximal (diet record) and long-term (food
      frequency questionnaire) nutrient intakes in 400 discordant MZ twin pairs to test whether
      genes affect the lipoprotein and weight response to vigorous exercise. The analyses assume
      that the sedentary twin represents (theoretically) the body weight and lipoprotein
      concentrations of the active twin if he or she were sedentary. They will compare the co-twin
      lipoprotein and weight differences across genotypes after adjusting for diet. Candidate genes
      will include single nucleotide polymorphisms (SNPs) that have been identified by others to
      affect lipoproteins, weight, propensity to exercise, or that mitigate the responses of
      lipoproteins to exercise. They will also compare the co-twin phenotype differences to SNPs
      and haplotypes that linkage disequilibrium maps suggest characterize most of the major
      genetic variation for genes affecting lipoprotein metabolism. The lipoproteins will include
      detailed measurements of high-density lipoprotein (HDL) and low-density lipoprotein (LDL)
      subclasses using gradient gel electrophoresis. The individual HDL subclasses will also be
      analyzed after separating the HDL by immunoaffinity chromatography into particles containing
      both apo A-I and apo A-II (HDL(A-I with A-II)) and those containing apo A-I and no apo A-II
      (HDL(A-I without A-II)). The design provides the advantages of both the cross-sectional
      association studies (large phenotypic effects) and the training studies (controlling for
      genotype) without the self-selection bias of cross-sectional association studies or the small
      phenotypic response of training studies.

      Their first pilot study of 35 pairs of MZ twins revealed a 5.2 mg/dL difference in
      HDL-cholesterol and a 12 pound weight difference between the active and sedentary twin. By
      comparison, a major recent training study produced only small average increases in HDL
      cholesterol (men:l.1 mg/dL; women:l.4 mg/dL) and small decreases in weight (men: 0.9 pounds;
      women: 0.4 pounds) after 20 weeks of training. The larger effect size of the discordant twin
      study will provide greater statistical power to detect gene-environment interactions than the
      training study. DNA samples will be shared with other institutions to cross-validate gene
      associations identified from training studies or other designs.