Association of hGrb10 Genetic Variations With Type 2 Diabetes in Caucasian Subjects
- Rosa Di Paola, PHD1,
- Ester Ciociola, PHD1,
- Watip Boonyasrisawat, MS2,
- David Nolan, BS2,
- Jill Duffy, BS2,
- Giuseppe Miscio, PHD1,
- Carmela Cisternino, BSC1,
- Grazia Fini, BSC1,
- Vittorio Tassi, MD, PHD1,
- Alessandro Doria, MD, PHD2 and
- Vincenzo Trischitta, MD13
- 1Research Unit of Endocrinology, Scientific Institute “Casa Sollievo della Sofferenza,” San Giovanni Rotondo, Italy
- 2Research Division, Department of Medicine, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts
- 3Department of Clinical Sciences, University “La Sapienza,” Rome, Italy
- Address correspondence to Rosa Di Paola, Research Unit of Endocrinology, Scientific Institute “Casa Sollievo della Sofferenza,”
Viale Padre Pio, 71013 San Giovanni Rotondo, Italy. E-mail: r.dipaola{at}operapadrepio.it; or Vincenzo Trischitta, Department of Clinical Sciences, University “La Sapienza,” Policlinico Umberto I, 00161, Rome, Italy.
E-mail: vincenzo.trischitta{at}uniroma1.it
The genes contributing to type 2 diabetes are mostly unknown (1). Grb10 is an adapter protein that, in target tissues (2,3), interacts with the insulin receptor (3–9), thus affecting downstream signaling (10–12) and insulin action (2,7,10–16). We tested the hypothesis that variants in the Grb10 gene modulate the risk for type 2 diabetes, one of the most frequent
outcomes of insulin resistance.
Resequencing of coding and immediately flanking sequences of hGrb10 (17,18) identified six single nucleotide polymorphisms (SNPs), five of which had a minor allele frequency >5%. Based on their physical
location and their mutual linkage disequilibrium, these five SNPs (i.e., rs1800504, rs2715128, rs2072235, rs4947710, and rs3807550)
could be grouped into two clusters. The rs1800504 and rs4947710 SNPs (each belonging to different clusters) were analyzed
for association with type 2 diabetes in 764 diabetic patients and 323 unrelated control subjects from the east coast of central
Italy (19,20). No significant association with type 2 diabetes was observed for rs1800504 (data not shown). By contrast, the genotype
distributions of rs4947710 (i.e., G/G, G/A, and A/A) were significantly different between case and control subjects (87.2,
12.3, and 0.5% vs. 61.9, 35.8, and 2.3%, respectively, P < 0.0001), with A allele carriers showing a reduced risk of type 2 diabetes (unadjusted odds ratio 0.239 [95% CI 0.17–0.33],
P = 0.0001; age-, sex-, and BMI-adjusted odds ratio 0.235 [95% CI 0.15–0.36], P = 0.0001). A potential biological relevance of rs4947710 was suggested by an in silico analysis (ESEfinder; available at
http://exon.cshl.edu/ESE/), which indicated that the G-to-A substitution of rs4947710 may cause the disruption of a putative consensus motif for the
human Ser/Arg-rich proteins SF2/ASF.
To replicate this association, we studied 731 type 2 diabetic case and 358 nondiabetic control subjects, all being Caucasians
from the Boston area (20). In contrast to what was observed in the Italian population, the genotype distributions of rs4947740 were similar in case
and control subjects (G/G = 83.9%, G/A = 15.2%, and A/A = 1.0% and G/G = 86.0%, G/A = 14.0%, and A/A = 0.0%, respectively,
P = 0.15).
In conclusion, a significant association between the hGrb10 rs4947710 SNP (whose biological function on differential splicing
is suggested by in silico analysis) and type 2 diabetes was found in Caucasian subjects from Italy but not in those from the
U.S. Lack of replication of genotype-phenotype associations is not an uncommon event in the study of complex disorders (21–23) and can arise from the original result being a false-positive because of bias or chance or from the second result being
a false negative because of insufficient power. Such explanations, however, do not seem to account for our conflicting findings.
The population of the original study was relatively homogeneous, making the possibility of population stratification remote,
and the P value for association with type 2 diabetes was highly significant, making chance an unlikely explanation of the association
finding. The replication study had close to 100% power to detect the odds ratio observed in the original study. Thus, lack
of replication in our study is likely to result from differences in the genetic and/or environmental background of the populations
studied, highlighting the need for large, collaborative studies providing sufficient power to investigate gene-gene and gene-environment
interactions and their differences among populations.
Acknowledgments
This Research was supported by Telethon Grant GGP02423, by Italian Ministry of Health Grant Ricerca Corrente 2005, and National
Institutes of Health Grants DK60837 (Diabetes Genome Anatomy Project) and DK36836 (Genetics Core of the Diabetes and Endocrinology
Research Center at the Joslin Diabetes Center).
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