Cloning, expression and genomic structure of human LMX1A, and variant screening in Pima Indians
Clinical Diabetes and Nutrition Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ 85016, USA.Gene (Impact Factor: 2.14). 06/2002; 290(1-2):217-25. DOI: 10.1016/S0378-1119(02)00582-6
LIM-homeodomain containing protein LMX1A activates transcription of the insulin gene. The human LMX1A gene maps to 1q22-q23, a region identified as a putative type 2 diabetes mellitus (T2DM) locus in several different populations. We analyzed LMX1A as a positional and biological candidate gene for T2DM in the Pima Indians, in whom a linkage of T2DM to 1q21-q23 has been previously reported. In the present study, we describe the cloning, expression and genomic organization of the LMX1A gene, which is composed of 11 exons spanning approximately 151 kb. In addition to a transcript encoding the predicted full-length protein of 382 amino acids, we identified two truncated cDNA forms produced via additional transcription start sites and alternative splicing. We identified seven single nucleotide polymorphisms (SNPs) throughout the LMX1A locus and determined allele frequency distributions in 150 diabetic and 150 unaffected Pimas. We did not find evidence for association of any LMX1A SNPs with T2DM and conclude that LMX1A does not contribute significantly to T2DM etiology in Pima Indians.
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ABSTRACT: New treatments are currently required for the common metabolic diseases obesity and type 2 diabetes. The identification of physiological and biochemical factors that underlie the metabolic disturbances observed in obesity and type 2 diabetes is a key step in developing better therapeutic outcomes. The discovery of new genes and pathways involved in the pathogenesis of these diseases is critical to this process, however identification of genes that contribute to the risk of developing these diseases represents a significant challenge as obesity and type 2 diabetes are complex diseases with many genetic and environmental causes. A number of diverse approaches have been used to discover and validate potential new targets for obesity and diabetes. To date, DNA-based approaches using candidate gene and genome-wide linkage analysis have had limited success in identifying genomic regions or genes involved in the development of these diseases. Recent advances in the ability to evaluate linkage analysis data from large family pedigrees using variance components based linkage analysis show great promise in robustly identifying genomic regions associated with the development of obesity and diabetes. RNA-based technologies such as cDNA microarrays have identified many genes differentially expressed in tissues of healthy and diseased subjects. Using a combined approach, we are endeavouring to focus attention on differentially expressed genes located in chromosomal regions previously linked with obesity and/or diabetes. Using this strategy, we have identified Beacon as a potential new target for obesity and diabetes.Current Pharmaceutical Design 02/2003; 9(17):1357-72. DOI:10.2174/1567204052931159 · 3.45 Impact Factor
- Molecular Genetics and Metabolism 01/2004; 81(1):16-21. DOI:10.1016/j.ymgme.2003.09.013 · 2.63 Impact Factor
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ABSTRACT: We have identified a region on chromosome 1q21-q24 that was significantly linked to type 2 diabetes in multiplex families of Northern European ancestry and also in Pima Indians, Amish families, and families from France and England. We sought to narrow and map this locus using a combination of linkage and association approaches by typing microsatellite markers at 1.2 and 0.5 cM densities, respectively, over a region of 37 cM (23.5 Mb). We tested linkage by parametric and nonparametric approaches and association using both case-control and family-based methods. In the 40 multiplex families that provided the previous evidence for linkage, the highest parametric, recessive logarithm of odds (LOD) score was 5.29 at marker D1S484 (168.5 cM, 157.5 Mb) without heterogeneity. Nonparametric linkage (NPL) statistics (P = 0.00009), SimWalk2 Statistic A (P = 0.0002), and sib-pair analyses (maximum likelihood score = 6.07) all mapped to the same location. The one LOD CI was narrowed to 156.8-158.9 Mb. Under recessive, two-point linkage analysis, adjacent markers D1S2675 (171.5 cM, 158.9 Mb) and D1S1679 (172 cM, 159.1 Mb) showed LOD scores >3.0. Nonparametric analyses revealed a second linkage peak at 180 cM near marker D1S1158 (163.3 Mb, NPL score 3.88, P = 0.0001), which was also supported by case-control (marker D1S194, 178 cM, 162.1 Mb; P = 0.003) and family-based (marker ATA38A05, 179 cM, 162.5 Mb; P = 0.002) association studies. We propose that the replicated linkage findings actually encompass at least two closely spaced regions, with a second susceptibility region located telomeric at 162.5-164.7 Mb.Diabetes 02/2004; 53(2):492-9. DOI:10.2337/diabetes.53.2.492 · 8.10 Impact Factor
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