Genetic modulation of lipid profiles following lifestyle modification or metformin treatment: the Diabetes Prevention Program.

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...

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Main Authors: Toni I Pollin, Tamara Isakova, Kathleen A Jablonski, Paul I W de Bakker, Andrew Taylor, Jarred McAteer, Qing Pan, Edward S Horton, Linda M Delahanty, David Altshuler, Alan R Shuldiner, Ronald B Goldberg, Jose C Florez, Paul W Franks, Diabetes Prevention Program Research Group
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS Genetics
Online Access:http://europepmc.org/articles/PMC3431328?pdf=render
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spelling doaj-1511d67fc92e4fdfa24084c24f50a2682020-11-25T02:23:50ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042012-01-0188e100289510.1371/journal.pgen.1002895Genetic modulation of lipid profiles following lifestyle modification or metformin treatment: the Diabetes Prevention Program.Toni I PollinTamara IsakovaKathleen A JablonskiPaul I W de BakkerAndrew TaylorJarred McAteerQing PanEdward S HortonLinda M DelahantyDavid AltshulerAlan R ShuldinerRonald B GoldbergJose C FlorezPaul W FranksDiabetes Prevention Program Research GroupWeight-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 = 0.04-1 × 10(-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 = 5 × 10(-5)-1 10(-19)). The GRS was associated with higher baseline-adjusted 1-year LDL cholesterol levels (β = +0.87, SEE ± 0.22 mg/dl/allele, P = 8 × 10(-5), P(interaction) = 0.02) in the lifestyle intervention group, but not in the placebo (β = +0.20, SEE ± 0.22 mg/dl/allele, P = 0.35) or metformin (β = -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 (β = +0.30, SEE ± 0.012 ln nmol/L/allele, P = 0.01, P(interaction) = 0.01) but not in the placebo (β = -0.002, SEE ± 0.008 ln nmol/L/allele, P = 0.74) or metformin (β = +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.http://europepmc.org/articles/PMC3431328?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Toni I Pollin
Tamara Isakova
Kathleen A Jablonski
Paul I W de Bakker
Andrew Taylor
Jarred McAteer
Qing Pan
Edward S Horton
Linda M Delahanty
David Altshuler
Alan R Shuldiner
Ronald B Goldberg
Jose C Florez
Paul W Franks
Diabetes Prevention Program Research Group
spellingShingle Toni I Pollin
Tamara Isakova
Kathleen A Jablonski
Paul I W de Bakker
Andrew Taylor
Jarred McAteer
Qing Pan
Edward S Horton
Linda M Delahanty
David Altshuler
Alan R Shuldiner
Ronald B Goldberg
Jose C Florez
Paul W Franks
Diabetes Prevention Program Research Group
Genetic modulation of lipid profiles following lifestyle modification or metformin treatment: the Diabetes Prevention Program.
PLoS Genetics
author_facet Toni I Pollin
Tamara Isakova
Kathleen A Jablonski
Paul I W de Bakker
Andrew Taylor
Jarred McAteer
Qing Pan
Edward S Horton
Linda M Delahanty
David Altshuler
Alan R Shuldiner
Ronald B Goldberg
Jose C Florez
Paul W Franks
Diabetes Prevention Program Research Group
author_sort Toni I Pollin
title Genetic modulation of lipid profiles following lifestyle modification or metformin treatment: the Diabetes Prevention Program.
title_short Genetic modulation of lipid profiles following lifestyle modification or metformin treatment: the Diabetes Prevention Program.
title_full Genetic modulation of lipid profiles following lifestyle modification or metformin treatment: the Diabetes Prevention Program.
title_fullStr Genetic modulation of lipid profiles following lifestyle modification or metformin treatment: the Diabetes Prevention Program.
title_full_unstemmed Genetic modulation of lipid profiles following lifestyle modification or metformin treatment: the Diabetes Prevention Program.
title_sort genetic modulation of lipid profiles following lifestyle modification or metformin treatment: the diabetes prevention program.
publisher Public Library of Science (PLoS)
series PLoS Genetics
issn 1553-7390
1553-7404
publishDate 2012-01-01
description 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 = 0.04-1 × 10(-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 = 5 × 10(-5)-1 10(-19)). The GRS was associated with higher baseline-adjusted 1-year LDL cholesterol levels (β = +0.87, SEE ± 0.22 mg/dl/allele, P = 8 × 10(-5), P(interaction) = 0.02) in the lifestyle intervention group, but not in the placebo (β = +0.20, SEE ± 0.22 mg/dl/allele, P = 0.35) or metformin (β = -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 (β = +0.30, SEE ± 0.012 ln nmol/L/allele, P = 0.01, P(interaction) = 0.01) but not in the placebo (β = -0.002, SEE ± 0.008 ln nmol/L/allele, P = 0.74) or metformin (β = +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.
url http://europepmc.org/articles/PMC3431328?pdf=render
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