title: IRS1 G972R polymorphism and type 2 diabetes: a paradigm for the difficult ascertainment of the contribution to disease susceptibility of 'low-frequency-low-risk' variants.
abstract: OBJECTIVE
  The aim of the study was to determine the association between IRS1 G972R polymorphism and type 2 diabetes; published data concerning this association have been conflicting. To obtain further insight into this topic, we performed a meta-analysis of all available case-control studies.
  
  
  METHODS
  We performed a meta-analysis of 32 studies (12,076 cases and 11,285 controls).
  
  
  RESULTS
  The relatively infrequent R972 variant was not significantly associated with type 2 diabetes (OR 1.09, 95% CI 0.96-1.23, p = 0.184 under a dominant model). Some evidence of heterogeneity was observed across studies (p = 0.1). In the 14 studies (9,713 individuals) in which the mean age at type 2 diabetes diagnosis was available, this variable explained 52% of the heterogeneity (p = 0.03). When these studies were subdivided into tertiles of mean age at diagnosis, the OR for diabetes was 1.48 (95% CI 1.17-1.87), 1.22 (95% CI 0.97-1.53) and 0.88 (95% CI 0.68-1.13) in the youngest, intermediate and oldest tertile, respectively (p = 0.0022 for trend of ORs).
  
  
  CONCLUSIONS
  Our findings illustrate the difficulties of ascertaining the contribution of 'low-frequency-low-risk' variants to type 2 diabetes susceptibility. In the specific context of the R972 variant, approximately 200,000 study individuals would be needed to have 80% power to identify a 9% increase in diabetes risk at a genome-wide significance level. Under these circumstances, a strategy aimed at improving outcome definition and decreasing its heterogeneity may critically enhance our ability to detect genetic effects, thereby decreasing the required sample size. Our data suggest that focusing on early-onset diabetes, which is characterised by a stronger genetic background, may be part of such a strategy.
authors: IRCCS, Casa Sollievo della Sofferenza-Mendel Institute, Viale Regina Margherita 261, Postal Code 00198, Rome, Italy.
authors: E
authors: E
authors: Morini
authors: S
authors: S
authors: Prudente
authors: E
authors: E
authors: Succurro
authors: M
authors: M
authors: Chandalia
authors: Y-Y
authors: YY
authors: Zhang
authors: S
authors: S
authors: Mammarella
authors: F
authors: F
authors: Pellegrini
authors: C
authors: C
authors: Powers
authors: V
authors: V
authors: Proto
authors: B
authors: B
authors: Dallapiccola
authors: A
authors: A
authors: Cama
authors: G
authors: G
authors: Sesti
authors: N
authors: N
authors: Abate
authors: A
authors: A
authors: Doria
authors: V
authors: V
authors: Trischitta
mesh_terms: D017668:Age of Onset; D019943:Amino Acid Substitution; D016022:Case-Control Studies; D004247:DNA / Q000097:blood / Q000235:genetics / Q000302:isolation & purification; D003924:Diabetes Mellitus, Type 2 / Q000235:genetics*; D005787:Gene Frequency; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D006801:Humans; D055504:Insulin Receptor Substrate Proteins / Q000235:genetics*; D015201:Meta-Analysis as Topic; D016017:Odds Ratio; D011110:Polymorphism, Genetic; D020641:Polymorphism, Single Nucleotide; D012016:Reference Values; D018401:Sample Size
chemical_list: C526292:IRS1 protein, human; D055504:Insulin Receptor Substrate Proteins; D004247:DNA