OBJECTIVE: The missense mutation (64Trp to 64Arg) in the b 3 -adrenergic-receptor has previously been described to confer a genetic predisposition to the development of obesity. DESIGN: To test the hypothesis we evaluated allele frequencies in children, adolescents and young adults who belonged to different weight groups that were delineated with percentiles for the body mass index (BMI; kg/m 2 ). SUBJECTS: 99 underweight probands (BMI 15th percentile). 80 normal weight probands (BMI: 5th±85th percentile). 238 obese children and adolescents (BMI ! 97th percentile). 84 patients with anorexia nervosa (AN). MEASUREMENTS: The cohorts were screened by polymerase chain reaction with subsequent restriction fragment length polymorphism (PCR-RFLP) analysis. Data were statistically analysed for association. In addition to these case control studies, the transmission disequilibrium test (TDT) was applied to 80 families of obese probands and to 52 families of patients with AN. RESULTS: Both the tests for association and linkage were negative. The Trp64Arg allele frequencies in the three weight groups (obesity: 0.071; normal weight: 0.081; underweight: 0.056) and the AN patients (0.054) were similar. Extremely obese individuals showed no excess of the Trp64Arg allele. No homozygotes for the Trp64Arg allele were detected. CONCLUSION: Heterozygosity for the Trp64Arg allele is not of major importance in regulation of body weight in individuals younger than 35 y. Additionally, the extreme obese subgroup is not enriched for the polymorphism.

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Uncoupling proteins (UCPs) are mitochondrial membrane transporters which are involved in dissipating the proton electrochemical gradient thereby releasing stored energy as heat. This implies a major role of UCPs in energy metabolism and thermogenesis which when deregulated are key risk factors for the development of obesity and other eating disorders. Recent studies have shown that the sympathetic nervous system, via norepinephrine (beta-adrenoceptors) and cAMP, as well as thyroid hormones and PPAR gamma ligands seem to be major regulators of UCP expression. From the three different UCPs identified so far by gene cloning UCP1 is expressed exclusively in brown adipocytes while UCP2 is widely expressed. The third analogue, UCP3, is expressed predominantly in human skeletal muscle and was found to exist in a long and a short form. At the amino acid level UCP2 has about 59% homology to UCP1 while UCP3 is 73% identical to UCP2. Both UCP2 and UCP3 were mapped in close proximity (75-150 kb) to regions of human chromosome 11 (11q13) that have been linked to obesity and hyper-insulinaemia. Furthermore, there is strong evidence that UCP2, by virtue of its ubiquitous expression, may be important for determining basal metabolic rate. Based on the published full-length cDNA sequence we have deduced the genomic structure of the human UCP2 (hUCP2) gene by PCR and direct sequence analysis. The hUCP2 gene spans over 8.4 kb distributed on 8 exons. The localization of the exon/intron boundaries within the coding region matches precisely the one found in the human UCP1 gene and is almost conserved in the recently discovered UCP3 gene as well. However, the size of each of the introns in the hUCP2 gene differs from its UCP1 and UCP3 counterparts. It varies from 81 bp (intron 5) to about 3 kb (intron 2). The high degree of homology at the nucleotide level and the conservation of the exon/intron boundaries among the three UCP genes suggests that they may have evolved from a common ancestor or are the result from gene duplication events. Mutational analysis of the hUCP2 gene in a cohort of 25 children of caucasian origin (aged 7-13) characterized by low BMR values revealed a point mutation in exon 4 (C to T transition at position 164 of the corresponding cDNA resulting in the substitution of an alanine residue by a valine at codon 55) and an insertion polymorphism in exon 8. The insertion polymorphism consists of a 45 bp repeat located 150 bp downstream of the stop codon in the 3'-UTR. The allele frequencies were 0.61 and 0.39 for the alanine and valine encoded alleles, respectively, and 0.71 versus 0.29 for the insertion polymorphism. Expression studies of the wildtype and mutant forms of UCP2 should clarify the functional consequences these mutations may have on energy metabolism and body weight regulation. In addition, mapping of the promoter region and the identification of putative promoter regulatory sequences should give insight into the transcriptional regulation of UCP2 expression--in particular by anyone of the above mentioned ...

Primary focal hyperhidrosis (PFH, OMIM %144110) is a genetically influenced condition characterised by excessive sweating. Prevalence varies between 1.0–6.1% in the general population, dependent on ethnicity. The aetiology of PFH remains unclear but an autosomal dominant mode of inheritance, incomplete penetrance and variable phenotypes have been reported. In our study, nine pedigrees (50 affected, 53 non-affected individuals) were included. Clinical characterisation was performed at the German Hyperhidrosis Centre, Munich, by using physiological and psychological questionnaires. Genome-wide parametric linkage analysis with GeneHunter was performed based on the Illumina genome-wide SNP arrays. Haplotypes were constructed using easyLINKAGE and visualised via HaploPainter. Whole-exome sequencing (WES) with 100x coverage in 31 selected members (24 affected, 7 non-affected) from our pedigrees was achieved by next generation sequencing. We identified four genome-wide significant loci, 1q41-1q42.3, 2p14-2p13.3, 2q21.2-2q23.3 and 15q26.3-15q26.3 for PFH. Three pedigrees map to a shared locus at 2q21.2-2q23.3, with a genome-wide significant LOD score of 3.45. The chromosomal region identified here overlaps with a locus at chromosome 2q22.1-2q31.1 reported previously. Three families support 1q41-1q42.3 (LOD = 3.69), two families share a region identical by descent at 2p14-2p13.3 (LOD = 3.15) and another two families at 15q26.3 (LOD = 3.01). Thus, our results point to considerable genetic heterogeneity. WES did not reveal any causative variants, suggesting that variants or mutations located outside the coding regions might be involved in the molecular pathogenesis of PFH. We suggest a strategy based on whole-genome or targeted next generation sequencing to identify causative genes or variants for PFH.