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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Diet-gene interactions in determining blood lipid concentrations

Masson, Lindsey Fiona January 2003 (has links)
Genetic variation may explain the heterogeneity in the lipid response to dietary change. A systematic literature review found 79 articles on dietary intervention studies, 14 articles on observational studies, and 22 reviews on diet-gene interactions. The evidence suggests that variation within the genes for apolipoprotein (apo) AI, AIV, B and E may influence the lipid response to dietary change. This study assessed the influence of six polymorphisms within the genes for apo B, apo E and lipoprotein lipase (LPL) on the association between habitual diet and lipid levels in 239 healthy men and women (91 men and 148 women) aged 18-54 years, including 110 twin pairs, who were recruited for a population-based study of coronary heart disease (CHD) risk factors. Diet was assessed by a food frequency questionnaire, which was compared with 4-day weighed records in 41 men and 40 women aged 19-58 years. The nutrients of interest had either a correlation coefficient ≥0.5, ≥50/≤10% in the same/opposite third, a KW30.04. Genotypes were determined by the polymerase chain reaction and digestion with the appropriate enzyme. Significant diet-gene interactions were observed at each of the polymorphic sites, suggesting that genetic variation contributes to the framework within which diet, especially n-3 PUFAs, the P:S ratio and NSP can influence lipid levels. In particular, individuals with the apo B XbaI X+ allele, the apo B signal peptide insertion/deletion D allele, the apo &egr;4 allele, the LPL PvuII P- allele and the LPL S447X X allele may be at greater risk of developing CHD due to their poorer lipid profiles and/or poorer response to diet. At present, it is premature to recommend the use of genotyping in the design of therapeutic diets, however investigating diet-gene interactions will increase our knowledge of the mechanisms involved in the role of diet in reducing CHD risk.

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