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Kari E' North, MA PhD

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Increase in Prevalence (%) of Obesity Among US Adults ... Imputation method. Illumina 550K. Affy 5.0. Illumina 370. Illumina 370. Affy 6.0. Genotyping Platform ... – PowerPoint PPT presentation

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Title: Kari E' North, MA PhD


1

The Genetic Epidemiology of Cardiovascular
Disease Risk Factors Obesity
Kari E. North, MA PhD Associate
ProfessorDepartment of Epidemiology Carolina
Center of Genome Sciences
2
Increase in Prevalence () of Obesity Among US
Adults
Source CDC, National Center for Health
Statistics, National Health and Nutrition
Examination Survey.
3
Obesity is a Major Public Health Burden
  • Increases risk of illness
  • Increases in deaths from all-causes
  • Second only to smoking as a contributor to
    illness and premature death
  • Increases obesity-related diseases in children
    and adolescents
  • Higher risk for impaired mobility
  • Social stigmatization and discrimination

4
Obesity Thrifty Genotype Hypothesis
  • Strong support for familial aggregation
  • Prevalence of obesity twice as high in families
    of obese individuals than population at large
  • Monogenic forms of obesity have been found in
    human populations, although extremely rare
  • SNP associations (FTO, INSIG2, PPAR?)
  • We have the right genes in the wrong
    environment (Rosmond 2004)

5
Genetic Effects Work in Context
Genotype
Toxic exposures
Nutrition
Lifestyle
vs.
Phenotype
6
Genome Wide Association Studies
  • Method for interrogating all 10 million variable
    points across the human genome
  • Variation inherited in groups (blocks), thus not
    all 10 million points have to be tested
  • Indirectly test multiple variants genome-wide
    without any prior hypothesis
  • Is genetic variation associated with given
    phenotype?

7
Charge Consortium Cohorts for Heart and Aging
Research in Genomic Epidemiology
8
Charge Consortium Preliminary Results from
Meta-Analysis of BMI
9
Genetic Epidemiology Research Implications
  • To improve understanding of disease
    pathophysiology in a manner that suggests new
    directions for therapy
  • Identify individuals who are at increased risk of
    disease and allow tailoring of lifestyle choices
    to specific risk factors
  • To identify subclasses of clinically similar
    diseases that nevertheless have different genetic
    etiologies and thus might respond favorably to
    different therapies

10
Acknowledgements
  • North Lab
  • Christy Avery
  • Daniel Canos
  • Nora Franceschini
  • Dick Howard
  • Xia Li
  • Keri Monda
  • Amy Mottl
  • Yu Yan
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