Literature DB >> 24081232

Human cardiovascular disease IBC chip-wide association with weight loss and weight regain in the look AHEAD trial.

Jeanne M McCaffery1, George D Papandonatos, Gordon S Huggins, Inga Peter, Bahar Erar, Steven E Kahn, William C Knowler, Edward W Lipkin, Abbas E Kitabchi, Lynne E Wagenknecht, Rena R Wing.   

Abstract

BACKGROUND/AIMS: The present study identified genetic predictors of weight change during behavioral weight loss treatment.
METHODS: Participants were 3,899 overweight/obese individuals with type 2 diabetes from Look AHEAD, a randomized controlled trial to determine the effects of intensive lifestyle intervention (ILI), including weight loss and physical activity, relative to diabetes support and education, on cardiovascular outcomes. Analyses focused on associations of single nucleotide polymorphisms (SNPs) on the Illumina CARe iSelect (IBC) chip (minor allele frequency >5%; n = 31,959) with weight change at year 1 and year 4, and weight regain at year 4, among individuals who lost ≥ 3% at year 1.
RESULTS: Two novel regions of significant chip-wide association with year-1 weight loss in ILI were identified (p < 2.96E-06). ABCB11 rs484066 was associated with 1.16 kg higher weight per minor allele at year 1, whereas TNFRSF11A, or RANK, rs17069904 was associated with 1.70 kg lower weight per allele at year 1.
CONCLUSIONS: This study, the largest to date on genetic predictors of weight loss and regain, indicates that SNPs within ABCB11, related to bile salt transfer, and TNFRSF11A, implicated in adipose tissue physiology, predict the magnitude of weight loss during behavioral intervention. These results provide new insights into potential biological mechanisms and may ultimately inform weight loss treatment.
© 2013 S. Karger AG, Basel.

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Year:  2013        PMID: 24081232      PMCID: PMC4257841          DOI: 10.1159/000353181

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  64 in total

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4.  Hepatocanalicular bile salt export pump deficiency in patients with progressive familial intrahepatic cholestasis.

Authors:  P L Jansen; S S Strautnieks; E Jacquemin; M Hadchouel; E M Sokal; G J Hooiveld; J H Koning; A De Jager-Krikken; F Kuipers; F Stellaard; C M Bijleveld; A Gouw; H Van Goor; R J Thompson; M Müller
Journal:  Gastroenterology       Date:  1999-12       Impact factor: 22.682

5.  The Diabetes Prevention Program. Design and methods for a clinical trial in the prevention of type 2 diabetes.

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Journal:  Diabetes Care       Date:  1999-04       Impact factor: 19.112

6.  Prevalence of overweight and obesity in the United States, 1999-2004.

Authors:  Cynthia L Ogden; Margaret D Carroll; Lester R Curtin; Margaret A McDowell; Carolyn J Tabak; Katherine M Flegal
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Authors:  Hanna-Reetta Lajunen; Jaakko Kaprio; Richard J Rose; Lea Pulkkinen; Karri Silventoinen
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8.  Genetic determinants of serum lipid levels in Chinese subjects: a population-based study in Shanghai, China.

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9.  Look AHEAD (Action for Health in Diabetes): design and methods for a clinical trial of weight loss for the prevention of cardiovascular disease in type 2 diabetes.

Authors:  Donna H Ryan; Mark A Espeland; Gary D Foster; Steven M Haffner; Van S Hubbard; Karen C Johnson; Steven E Kahn; William C Knowler; Susan Z Yanovski
Journal:  Control Clin Trials       Date:  2003-10

10.  Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma.

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  13 in total

1.  Prospective association of a genetic risk score and lifestyle intervention with cardiovascular morbidity and mortality among individuals with type 2 diabetes: the Look AHEAD randomised controlled trial.

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Journal:  Diabetologia       Date:  2015-05-14       Impact factor: 10.122

Review 2.  Look inside Look AHEAD: why the glass is more than half-full.

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Journal:  Curr Diab Rep       Date:  2014-07       Impact factor: 4.810

Review 3.  Insight into rheumatological cause and effect through the use of Mendelian randomization.

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4.  Genetic modifiers of cardiorespiratory fitness response to lifestyle intervention.

Authors:  Inga Peter; George D Papandonatos; L Maria Belalcazar; Yao Yang; Bahar Erar; John M Jakicic; Jessica L Unick; Ashok Balasubramanyam; Edward W Lipkin; Linda M Delahanty; Lynne E Wagenknecht; Rena R Wing; Jeanne M McCaffery; Gordon S Huggins
Journal:  Med Sci Sports Exerc       Date:  2014-02       Impact factor: 5.411

5.  USAT: A Unified Score-Based Association Test for Multiple Phenotype-Genotype Analysis.

Authors:  Debashree Ray; James S Pankow; Saonli Basu
Journal:  Genet Epidemiol       Date:  2015-12-07       Impact factor: 2.135

Review 6.  Benefits and limitations of genome-wide association studies.

Authors:  Vivian Tam; Nikunj Patel; Michelle Turcotte; Yohan Bossé; Guillaume Paré; David Meyre
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Review 7.  Strategies to Understand the Weight-Reduced State: Genetics and Brain Imaging.

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Review 8.  NIH working group report-using genomic information to guide weight management: From universal to precision treatment.

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9.  The Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures Project: Rationale and Approach.

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10.  Genetic Predisposition to Weight Loss and Regain With Lifestyle Intervention: Analyses From the Diabetes Prevention Program and the Look AHEAD Randomized Controlled Trials.

Authors:  George D Papandonatos; Qing Pan; Nicholas M Pajewski; Linda M Delahanty; Inga Peter; Bahar Erar; Shafqat Ahmad; Maegan Harden; Ling Chen; Pierre Fontanillas; Lynne E Wagenknecht; Steven E Kahn; Rena R Wing; Kathleen A Jablonski; Gordon S Huggins; William C Knowler; Jose C Florez; Jeanne M McCaffery; Paul W Franks
Journal:  Diabetes       Date:  2015-08-07       Impact factor: 9.337

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