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No evidence for involvement of the calpain-10 gene 'high-risk' haplotype combination for non-insulin-dependent diabetes mellitus in early onset obesity

Anke Hinney*, Benjamin Antwerpen, Frank Geller, Helmut Schäfer, Wolfgang Siegfried, Hanspeter Goldschmidt, Helmut Remschmidt, Andreas Ziegler, Johannes Hebebrand

*Corresponding author for this work

Abstract

In light of evidence of linkage of obesity to chromosome 2q31-q37, we hypothesized that the calpain-10 gene 'high-risk' haplotype combination for non-insulin-dependent diabetes mellitus (NIDDM) is involved in early onset obesity. We screened the NIDDM 'high-risk'-haplotype combination formed by the alleles 112 and 121 of the polymorphisms UCSNP-43, -19, and -63 in 166 families consisting of an extremely obese child or adolescent (mean BMI percentile: 99:3 ± 1:38), one or more obese sibs (mean BMI percentile: 97:42 ± 2:88), and both of their parents. Genotyping for three calpain-10 gene polymorphisms was performed by polymerase chain reaction (PCR) with (a) length polymorphism detection (UCSNP-19) or (b) allele-specific PCR (UCSNP-43 and -63). To allow for correct haplotype assignment all individuals were additionally genotyped for two microsatellite markers (D2S125 and D2S2338). We followed a hierarchical test procedure. As the first step, model-free linkage analysis was performed using maximum likelihood binomial statistics. The second stage consisted of a one-sided asymptotic pedigree disequilibrium test for the UCSNP-43 and on an exploratory level for the other SNP-markers and all haplotypes formed by the three SNPs. The final stage investigated the reported haplotype combination. We failed to detect an initial linkage of obesity to this region (LOD score < 0:4). All subsequent exploratory analyses were negative. Our analysis of the relationship between the NIDDM 'high-risk' haplotype combination and extreme early onset obesity revealed no evidence for linkage and association.

Original languageEnglish
JournalMolecular Genetics and Metabolism
Volume76
Issue number2
Pages (from-to)152-156
Number of pages5
ISSN1096-7192
DOIs
Publication statusPublished - 2002

Funding

We thank all probands for their participation. This work was supported by the Deutsche Forschungsgemeinschaft and by the German Bundesministerium für Forschung und Technologie (FKZ 01KW0006 and 01GS0118).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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