Common variation in the LMNA gene (encoding lamin A/C) and type 2 diabetes: Association analyses in 9,518 subjects

24Citations
Citations of this article
42Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Mutations in the LMNA gene (encoding lamin A/C) underlie familial partial lipodystrophy, a syndrome of monogenic insulin resistance and diabetes. LMNA maps to the well-replicated diabetes-linkage region on chromosome 1q, and there are reported associations between LMNA single nucleotide polymorphisms (SNPs) (particularly rs4641; H566H) and metabolic syndrome components. We examined the relationship between LMNA variation and type 2 diabetes (using six tag SNPs capturing >90% of common variation) in several large datasets. Analysis of 2,490 U.K. diabetic case and 2,556 control subjects revealed no significant associations at either genotype or haplotype level: the minor allele at rs4641 was no more frequent in case subjects (allelic odds ratio [OR] 1.07 [95% CI 0.98-1.17], P = 0.15). In 390 U.K. trios, family-based association analyses revealed nominally significant overtransmission of the major allele at rs12063564 (P = 0.01), which was not corroborated in other samples. Finally, genotypes for 2,817 additional subjects from the International 1q Consortium revealed no consistent case-control or family-based associations with LMNA variants. Across all our data, the OR for the rs4641 minor allele approached but did not attain significance (1.07 [0.99-1.15], P = 0.08). Our data do not therefore support a major effect of LMNA variation on diabetes risk. However, in a meta-analysis including other available data, there is evidence that rs4641 has a modest effect on diabetes susceptibility (1.10 [1.04-1.16], P = 0.001). © 2007 by the American Diabetes Association.

Cite

CITATION STYLE

APA

Owen, K. R., Groves, C. J., Hanson, R. L., Knowler, W. C., Shuldiner, A. R., Elbein, S. C., … McCarthy, M. I. (2007). Common variation in the LMNA gene (encoding lamin A/C) and type 2 diabetes: Association analyses in 9,518 subjects. Diabetes, 56(3), 879–883. https://doi.org/10.2337/db06-0930

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free