TY - JOUR
T1 - Family and population-based studies of variation within the ghrelin receptor locus in relation to measures of obesity
AU - Gjesing, Anette P.
AU - Larsen, Lesli Hingstrup
AU - Torekov, Signe Sørensen
AU - Hainerová, Irena Aldhoon
AU - Kapur, Rahul
AU - Johansen, Anders
AU - Albrechtsen, Anders
AU - Boj, Sylvia
AU - Holst, Birgitte
AU - Harper, Angela
AU - Urhammer, Søren A.
AU - Borch-Johnsen, Knut
AU - Pisinger, Charlotta Holm
AU - Echwald, Søren M
AU - Eiberg, Hans Rudolf Lytchoff
AU - Astrup, Arne
AU - Lebl, Jan
AU - Ferrer, Jorge
AU - Schwartz, Thue W.
AU - Hansen, Torben
AU - Pedersen, Oluf
N1 - Paper id:: e10084
PY - 2010
Y1 - 2010
N2 - Background: The growth hormone secretagogue receptor (GHSR) is mediating hunger sensation when stimulated by its natural ligand ghrelin. In the present study, we tested the hypothesis that common and rare variation in the GHSR locus are related to increased prevalence of obesity and overweight among Whites. Methodology/Principal Findings: In a population-based study sample of 15,854 unrelated, middle-aged Danes, seven variants were genotyped to capture common variation in an 11 kbp region including GHSR. These were investigated for their individual and haplotypic association with obesity. None of these analyses revealed consistent association with measures of obesity. A -151C/T promoter mutation in the GHSR was found in two unrelated obese patients. One family presented with complete co-segregation, but the other with incomplete co-segregation. The mutation resulted in an increased transcriptional activity (p<0.02) and introduction of a specific binding for Sp-1-like nuclear extracts relative to the wild type. The -151C/T mutation was genotyped in the 15,854 Danes with a minor allele frequency of 0.01%. No association with obesity in carriers (mean BMI: 27±64 kg/m2) versus non-carriers (mean BMI: 28±65 kg/m2) (p>0.05) could be shown. Conclusions/Significance: In a population-based study sample of 15,854 Danes no association between GHSR genotypes and measures of obesity and overweight was found. Also, analyses of GHSR haplotypes lack consistent associations with obesity related traits. A rare functional GHSR promoter mutation variant was identified, yet there was no consistent relationship with obesity in neither family- nor population-based studies.
AB - Background: The growth hormone secretagogue receptor (GHSR) is mediating hunger sensation when stimulated by its natural ligand ghrelin. In the present study, we tested the hypothesis that common and rare variation in the GHSR locus are related to increased prevalence of obesity and overweight among Whites. Methodology/Principal Findings: In a population-based study sample of 15,854 unrelated, middle-aged Danes, seven variants were genotyped to capture common variation in an 11 kbp region including GHSR. These were investigated for their individual and haplotypic association with obesity. None of these analyses revealed consistent association with measures of obesity. A -151C/T promoter mutation in the GHSR was found in two unrelated obese patients. One family presented with complete co-segregation, but the other with incomplete co-segregation. The mutation resulted in an increased transcriptional activity (p<0.02) and introduction of a specific binding for Sp-1-like nuclear extracts relative to the wild type. The -151C/T mutation was genotyped in the 15,854 Danes with a minor allele frequency of 0.01%. No association with obesity in carriers (mean BMI: 27±64 kg/m2) versus non-carriers (mean BMI: 28±65 kg/m2) (p>0.05) could be shown. Conclusions/Significance: In a population-based study sample of 15,854 Danes no association between GHSR genotypes and measures of obesity and overweight was found. Also, analyses of GHSR haplotypes lack consistent associations with obesity related traits. A rare functional GHSR promoter mutation variant was identified, yet there was no consistent relationship with obesity in neither family- nor population-based studies.
U2 - 10.1371/journal.pone.0010084
DO - 10.1371/journal.pone.0010084
M3 - Journal article
C2 - 20404923
SN - 1932-6203
VL - 5
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 4
ER -