Gene-Specific Responses to Exercise in Discordant Twins

Study Overview
=================
Brief 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.

Conditions
-----------------
Atherosclerosis, Cardiovascular Diseases, Heart Diseases

Participation Criteria
=================
Eligibility Criteria
-----------------
No eligibility criteria

Ages Eligible for Study
-----------------
Minimum Age: 18 Years
Maximum Age: 74 Years

Sexes Eligible for Study
-----------------
All

Accepts Healthy Volunteers
-----------------
No

Study Plan
=================
How is the study designed?
-----------------
What is the study measuring?
-----------------
Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |