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Dataset Information

Estimating the range of obesity treatment response variability in humans: methods and illustrations.


ABSTRACT:

Background/aims

The rising prevalence of human obesity worldwide has focused research on a variety of interventions that result in highly varied degrees of weight loss (WL). The advent of genomic testing has quantified estimates of both the contribution of genetic factors to the development of obesity as well as racial/ethnic variation of risk alleles across subpopulations. More recent studies have examined genetic associations with effectiveness of WL interventions, but to date are unable to explain a large proportion of the variance observed.

Methods

We describe and provide two illustrations of statistical methods to estimate upper and lower bounds of WL treatment response heterogeneity (TRH) in the absence of genotypic data, using published summary statistics and a raw da

SUBMITTER: Kaiser KA 

PROVIDER: S-EPMC3906849 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature