publication . Article . 2018

A multilevel linear mixed model of the association between candidate genes and weight and body mass index using the Framingham longitudinal family data.

Ruth Loos;
  • Published: 13 Nov 2018
Abstract
Obesity has become an epidemic in many countries and is one of the major risk conditions for disease including type 2 diabetes, coronary heart disease, stroke, dyslipidemia, and hypertension. Recent genome-wide association studies have identified two genes (FTO and near MC4R) that were unequivocally associated with body mass index (BMI) and obesity. For the Genetic Analysis Workshop 16, data from the Framingham Heart Study were made available, including longitudinal anthropometric and metabolic traits for 7130 Caucasian individuals over three generations, each with follow-up data at up to four time points. We explored the associations between four single-nucleot...
Subjects
Medical Subject Headings: nutritional and metabolic diseases
free text keywords: General Biochemistry, Genetics and Molecular Biology, General Medicine, Framingham Heart Study, Obesity, medicine.disease, medicine, Minor allele frequency, business.industry, business, Genetic association, Framingham Risk Score, Body mass index, Single-nucleotide polymorphism, Linkage disequilibrium, Bioinformatics, Proceedings
Funded by
NIH| Genetic Analysis of Common Diseases: An Evaluation
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM031575-22
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
,
WT
Project
  • Funder: Wellcome Trust (WT)
,
NIH| Symptom Dimensions in Psychosis
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5K08MH074057-05
  • Funding stream: NATIONAL INSTITUTE OF MENTAL HEALTH

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