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Genetic Modulation of Lipid Profiles following Lifestyle Modification or Metformin Treatment: The Diabetes Prevention Program

Pollin, Toni I.; Isakova, Tamara; Jablonski, Kathleen A.; de Bakker, Paul I. W.; Taylor, Andrew; McAteer, Jarred; Pan, Qing; Horton, Edward S.; Delahanty, Linda M. and Altshuler, David, et al. (2012) In PLoS Genetics 8(8).
Abstract
Weight-loss interventions generally improve lipid profiles and reduce cardiovascular disease risk, but effects are variable and may depend on genetic factors. We performed a genetic association analysis of data from 2,993 participants in the Diabetes Prevention Program to test the hypotheses that a genetic risk score (GRS) based on deleterious alleles at 32 lipid-associated single-nucleotide polymorphisms modifies the effects of lifestyle and/or metformin interventions on lipid levels and nuclear magnetic resonance (NMR) lipoprotein subfraction size and number. Twenty-three loci previously associated with fasting LDL-C, HDL-C, or triglycerides replicated (P = 0.04-1x10(-17)). Except for total HDL particles (r = -0.03, P = 0.26), all... (More)
Weight-loss interventions generally improve lipid profiles and reduce cardiovascular disease risk, but effects are variable and may depend on genetic factors. We performed a genetic association analysis of data from 2,993 participants in the Diabetes Prevention Program to test the hypotheses that a genetic risk score (GRS) based on deleterious alleles at 32 lipid-associated single-nucleotide polymorphisms modifies the effects of lifestyle and/or metformin interventions on lipid levels and nuclear magnetic resonance (NMR) lipoprotein subfraction size and number. Twenty-three loci previously associated with fasting LDL-C, HDL-C, or triglycerides replicated (P = 0.04-1x10(-17)). Except for total HDL particles (r = -0.03, P = 0.26), all components of the lipid profile correlated with the GRS (partial |r| = 0.07-0.17, P=5x10(-5)-1x10(-19)). The GRS was associated with higher baseline-adjusted 1-year LDL cholesterol levels (beta = +0.87, SEE +/- 0.22 mg/dl/allele, P=8x10(-5), P-interaction = 0.02) in the lifestyle intervention group, but not in the placebo (beta = +0.20, SEE +/- 0.22 mg/dl/allele, P = 0.35) or metformin (beta = -0.03, SEE +/- 0.22 mg/dl/allele, P = 0.90; P-interaction = 0.64) groups. Similarly, a higher GRS predicted a greater number of baseline-adjusted small LDL particles at 1 year in the lifestyle intervention arm (beta = +0.30, SEE +/- 0.012 ln nmol/L/allele, P = 0.01, P-interaction = 0.01) but not in the placebo (beta = 20.002, SEE +/- 0.008 ln nmol/L/allele, P = 0.74) or metformin (beta = +0.013, SEE +/- 0.008 nmol/L/allele, P = 0.12; P-interaction = 0.24) groups. Our findings suggest that a high genetic burden confers an adverse lipid profile and predicts attenuated response in LDL-C levels and small LDL particle number to dietary and physical activity interventions aimed at weight loss. (Less)
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PLoS Genetics
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8
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Public Library of Science
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  • scopus:84866155075
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1553-7404
DOI
10.1371/journal.pgen.1002895
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@article{e597808e-a518-4af1-bfe3-cc00a99a98a1,
  abstract     = {Weight-loss interventions generally improve lipid profiles and reduce cardiovascular disease risk, but effects are variable and may depend on genetic factors. We performed a genetic association analysis of data from 2,993 participants in the Diabetes Prevention Program to test the hypotheses that a genetic risk score (GRS) based on deleterious alleles at 32 lipid-associated single-nucleotide polymorphisms modifies the effects of lifestyle and/or metformin interventions on lipid levels and nuclear magnetic resonance (NMR) lipoprotein subfraction size and number. Twenty-three loci previously associated with fasting LDL-C, HDL-C, or triglycerides replicated (P = 0.04-1x10(-17)). Except for total HDL particles (r = -0.03, P = 0.26), all components of the lipid profile correlated with the GRS (partial |r| = 0.07-0.17, P=5x10(-5)-1x10(-19)). The GRS was associated with higher baseline-adjusted 1-year LDL cholesterol levels (beta = +0.87, SEE +/- 0.22 mg/dl/allele, P=8x10(-5), P-interaction = 0.02) in the lifestyle intervention group, but not in the placebo (beta = +0.20, SEE +/- 0.22 mg/dl/allele, P = 0.35) or metformin (beta = -0.03, SEE +/- 0.22 mg/dl/allele, P = 0.90; P-interaction = 0.64) groups. Similarly, a higher GRS predicted a greater number of baseline-adjusted small LDL particles at 1 year in the lifestyle intervention arm (beta = +0.30, SEE +/- 0.012 ln nmol/L/allele, P = 0.01, P-interaction = 0.01) but not in the placebo (beta = 20.002, SEE +/- 0.008 ln nmol/L/allele, P = 0.74) or metformin (beta = +0.013, SEE +/- 0.008 nmol/L/allele, P = 0.12; P-interaction = 0.24) groups. Our findings suggest that a high genetic burden confers an adverse lipid profile and predicts attenuated response in LDL-C levels and small LDL particle number to dietary and physical activity interventions aimed at weight loss.},
  author       = {Pollin, Toni I. and Isakova, Tamara and Jablonski, Kathleen A. and de Bakker, Paul I. W. and Taylor, Andrew and McAteer, Jarred and Pan, Qing and Horton, Edward S. and Delahanty, Linda M. and Altshuler, David and Shuldiner, Alan R. and Goldberg, Ronald B. and Florez, Jose C. and Franks, Paul},
  issn         = {1553-7404},
  language     = {eng},
  number       = {8},
  publisher    = {Public Library of Science},
  series       = {PLoS Genetics},
  title        = {Genetic Modulation of Lipid Profiles following Lifestyle Modification or Metformin Treatment: The Diabetes Prevention Program},
  url          = {http://dx.doi.org/10.1371/journal.pgen.1002895},
  volume       = {8},
  year         = {2012},
}