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Institute of Child and Adolescent Health (H.-J.W.), Health Science Center, Peking University, Beijing 100083, China; Clinical Research Group (H.-J.W., N.S., S.F., F.F.-H., H.R., J.H., A.H.), Department of Child and Adolescent Psychiatry, and Institute of Medical Biometry and Epidemiology (F.G., A.D., H.S.), Philipps-University of Marburg, 35039 Marburg, Germany; GSF-National Research Center for Environment and Health (P.L., T.B., T.M.), Institute of Human Genetics, 85764 Neuherberg, Germany; Center of Child and Adolescent Medicine (S.W., S.H., L.G.), Justus Liebig University, 35392 Giessen, Germany; and Department of Genome Analysis (K.H.), Institute of Molecular Biotechnology, 07745 Jena, Germany
Address all correspondence and requests for reprints to: Dr. Anke Hinney, Clinical Research Group, Department of Child and Adolescent Psychiatry, Phillips-Universtity of Marburg, Schützenstrasse 49, 35039 Marburg, Germany. E-mail: Anke.Hinney{at}med.uni-marburg.de.
| Abstract |
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| Introduction |
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GHSR, located on chromosome 3q26.31, was cloned from pituitary and hypothalamus of humans and swine in 1996 (12). The gene is highly conserved between humans, chimpanzees, pigs, cows, rats, and mice. Sequencing revealed that two types of GHSR cDNAs, 1a and 1b, originate from alternative mRNA processing of a single gene. The human full-length GHSR 1a cDNA consists of two exons, encoding 366 amino acids with seven transmembrane domains, a typical feature of G protein-coupled receptors. GHSR 1b, 289 amino acids with only five transmembrane domains, is encoded by an unspliced transcript. The codons 1265 in GHSR 1b are identical with the first exon of 1a. After 265Leu, the 24 carboxy-terminal amino acids of GHSR 1b are encoded by the intron of 1a. GHSR 1a was demonstrated to confer high-affinity, specific binding of GHSs, whereas GHSR 1b failed to respond to GHSs (13). It is unknown whether GHSR 1b encodes a functional protein (14).
The human ghrelin gene has been analyzed in several association studies for obesity. Ukkola et al. (15) reported three variations in the genomic sequence of the preproghrelin/ghrelin in 96 Swedish obese female subjects and 96 controls. The ghrelin variant Arg51Gln was identified in six (6.3%) obese subjects but not at all in the controls, implying a role in the etiology of obesity (15). By screening 215 extremely obese German children and adolescents and 93 normal-weight controls, we previously identified four sequence variants in the coding region of the ghrelin precursor. However, none of the variants seemed to be involved in weight regulation (16). Additionally, association studies were performed in 3004 subjects by three different study groups, in which the Arg51Gln polymorphism could not be confirmed as associated with obesity. For a second polymorphism (Leu72Met), carriers of the Met72 allele seemed to be protected against fat accumulation and associated metabolic comorbidities (17). The inconsistent results obtained from the different association studies can possibly be attributed to factors such as sample size, stratification, subgroup analysis, multiple testing, selection of controls, etc. (18).
The GHSs/ghrelin-GHSR system not only is involved in weight regulation but also plays an important role in the regulation of GH secretion. GHSs stimulate GH secretion via GHSR distinctly from GH-releasing factor and somatostatin (12). Ghrelin was also demonstrated to stimulate GH secretion in rats (2, 19). GH secretion and plasma IGF-I levels were reduced in female transgenic rats with impaired GHSR function (11). Human stature is known to be highly heritable, with heritability estimates ranging from 7590% (20). Genetic variation is involved in some syndromes that comprise short stature as one symptom (21). Short normal stature (SNS) without any pathological cause is a variant of normal growth rather than a disorder. Genes underlying normal variation in height are yet unknown.
Thus, GHSR is a candidate gene for both obesity and short normal stature in humans. We assumed that loss-of-function mutations in GHSR would potentially entail underweight and/or decrease GH secretion and therefore be involved in leanness or SNS. Alternatively, gain-of-function mutations could lead to obesity. We therefore investigated two single-nucleotide polymorphisms (SNPs) of this gene; based on the initial results, we performed an additional association study and a transmission disequilibrium test (TDT) (22) in 387 trios based on an obese index case for one of the SNPs. In parallel, the coding region of GHSR was screened for sequence variants in 93 extremely obese children and adolescents, 96 normal-weight students, 94 underweight students, and 43 children with SNS.
| Subjects and Methods |
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The ascertainment strategy for extremely obese, normal-weight, and underweight groups was described in detail previously (23). All extremely obese children and adolescents had an age- and gender-specific BMI
90th percentile as previously determined in a representative German population sample (24). The BMIs of the underweight students were below the 15th percentile and those of the normal-weight students between the 40th and 60th percentiles. We classified children as having SNS when their body height was <5th percentile (25) and no underlying illness or endocrinopathy could be detected.
Study groups. Altogether we studied 746 obese German children and adolescents [423 female; mean BMI, 32.9 ± 6.2 kg/m2; mean height percentile, 63.4 (age- and sex-adjusted percentiles); mean age, 13.9 ± 2.6 yr], 232 underweight students (111 female; mean BMI, 18.3 ± 1.1 kg/m2; mean age, 25.6 ± 3.8 yr), 96 normal-weight students (49 female; mean BMI, 21.9 ± 1.1 kg/m2; mean age, 24.7 ± 2.6 yr), and 43 children with SNS (10 female; mean height percentile, 1.1; mean BMI, 17.4 ± 2.7 kg/m2; mean age, 11.7 ± 3.1 yr) in first- and second-association studies, TDTs, and mutation screen.
Written informed consent was given by all participants and, in the case of minors, their parents. This study was approved by the Ethics Committees of the Universities of Marburg and Giessen.
Molecular genetic methods
High-throughput genotyping of two SNPs with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Assays for two SNPs (rs495225 and rs572169, dbSNP; National Center for Biotechnology Information (NCBI): http://www.ncbi.nlm.nih.gov/SNP) in the coding region of GHSR were designed by the SpectroDesigner software (Sequenom, San Diego, CA), and genotyping was done by MALDI-TOF MS, employing the homogeneous mass extension protocol as provided by the manufacturer of the system (Sequenom).
Genotyping of SNP rs495225 with PCR-RFLP. PCR with subsequent diagnostic restriction fragment length polymorphism analyses (RFLP) was performed for genotyping SNP rs495225. Primers were derived from the genomic sequence (AF369786; NCBI: http://www.ncbi.nlm.nih.gov) as follows: GHSRrs495225-F 5'-CGGGGTTCAACCTCACACT-3' and GHSRrs495225-R 5'-AGAGCGCACCGCAAACTC-3' (593 bp). PCR was performed according to standard protocols. The PCR amplicons were digested by LweI, with the 171T allele cut into two fragments (567 and 26 bp). Restriction patterns were visualized on 2.5% agarose gels stained with ethidium bromide.
Screen for sequence variants.
1) For PCR, as two transcripts of GHSR, 1a and 1b, originate from alternative mRNA processing of a single gene, we designed three primer pairs to amplify the entire coding region of both GHSR 1a and 1b (Fig. 1
): pair 1, exon 1_1-F 5'-GTCCCAGAGCCTGTTCAGC-3' and exon 1_1-R 5'-GCTCAGCGCTGTGATGGT-3' (445 bp); pair 2, exon 1_2-F 5'-CAGTGAGAGCTGCACCTACG-3' and exon 1_2-R 5'-GAGAGACAGAGGCCCAGAGA-3' (571 bp); pair 3, exon 2-F 5'-TCTCTCTCCCATTGTCCTTTT-3' and exon 2-R 5'-CGGTGACTGTACTCGCAATG-3' (355 bp). PCRs of exon 1_1 and exon 2 were performed according to standard protocols. The AmpliTaq Gold polymerase was used for PCR of exon 1_2. 2) Single-strand conformational polymorphism (SSCP) analysis was performed as described previously (26). Before SSCP, exon 1_1-amplicon, exon 1_2-amplicon, and exon 2-amplicon were digested by FspI, Hpy188III, and EarI, respectively. The SSCP gels were run at both room temperature and 4 C. 3) To increase sensitivity of the screening, we reanalyzed exon 1_1-amplicons with denaturing HPLC (DHPLC) by using the WAVE system (Transgenomic, Cheshire, UK). Deduced from the WAVEMAKER 4.1 software, the oven temperature for optimal separation of homo- and heteroduplexes was set to 63 C. 4) All PCR amplicons with SSCP or DHPLC patterns deviant from the wild-type were sequenced as described previously (26). 5) For genotyping, PCR-RFLPs were performed for all different variants in the GHSR. BseNI was used for RFLP of rs2232165 in exon 1_1 (fragments of 60T allele, 364 and 81 bp). HpaII, FauI, ApaI, and BplI were used, respectively, for four SNPs in exon 1_2 (fragments of 447G, 412 and 159 bp; 477A, 457 and 114 bp; 531C, 406 and 165 bp; 611A, 335 and 236 bp). AflIII was used for 837C>A in exon 2 (fragments of 837A, 291 and 64 bp). For validity of the genotypes, allele assignments were made by at least two experienced individuals independently. Discrepancies were solved unambiguously either by reaching consensus or by repeating.
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Cochran-Armitage trend tests were used to investigate differences in the genotype distribution between the study groups. Additionally, Pearsons
2 tests were used to study differences on the allele level. A TDT (22) for rs495225 was performed in 387 trios. Because the initial analyses of SNPs (rs495225 and rs572169) were carried out within a high-throughput genotyping of 39 SNPs in 26 candidate genes, several of which have been analyzed in independent samples, and no correction for multiple testing was done, all P values have to be considered as nominal.
| Results |
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0.05 were obtained for the comparison of extremely obese children and adolescents with underweight students for rs572169 (nominal P = 0.65) and rs495225 (nominal P = 0.14), the latter SNP revealed a trend in that the frequency of the 171T allele of rs495225 was higher in extremely obese children and adolescents (75.0%) than in underweight students (70.2%). To follow up we 1) performed an additional association study in 270 obese individuals and 145 normal-weight and underweight students and 2) investigated transmission disequilibrium in 387 trios for rs495225. We were not able to substantiate the initial trend with the additional association study (Table 1
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| Discussion |
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Additionally, we screened the entire coding region of the GHSR in individuals belonging to the different weight groups and children with SNS for sequence variants. Besides the two SNPs (rs495225 and rs572169) tested initially, we identified five additional variants, including three SNPs and two novel variants (SNP002901685 and SNP002901686). All sequence variants were identified in the shared region of GHSR 1a (exon 1) and 1b, except for the SNP002901686 (837C>A) which is located in exon 2 of GHSR 1a. The novel variants appeared in only one obese carrier (Ala204Glu) and one child with SNS (Phe279Leu). We did not detect differences in genotype frequencies of the identified SNPs between obese and normal-weight or underweight individuals, indicating that none of them seems to be associated with obesity in Germans. Despite not finding any significant association, identification and validation of these variants in the ghrelin receptor gene might be important for additional studies in other populations and be helpful for future phamocogenomics analyses.
Based on the previous studies, the GHSs/ghrelin-GHSR system may be important in weight regulation by influencing food intake and energy balance (3, 4, 5, 6). Recent studies indicated ghrelin and GHSR play an important role on rat adipogenesis (27), and antagonism of ghrelin receptor reduces food intake and body weight in mice (29). However, the results of association studies pertaining to the human ghrelin gene were conflicting (15, 16, 17). Additionally, our group performed an association study of a ghrelin promoter polymorphism (rs27647), in which similar genotype frequencies were detected in 186 obese and 170 underweight individuals (unpublished data). Therefore, the relevance of GHSR and ghrelin for obesity awaits further clarification.
The novel variant Ala204Glu (SNP002901685) leads to a nonconservative amino acid exchange in the obese carrier. The 204Ala is located in the second extracellular loop, highly conserved among humans, swine, and rats. Any functional relevance of this nonconservative variant could be detected only in functional studies. Additionally, we detected a child with SNS with a novel variant (Phe279Leu, SNP002901686) leading to a conservative amino acid exchange in the 6th transmembrane domain of GHSR. The Phe279 is one of the essential amino acid residues in the GHSR with high conservation among humans, swine, and rats. Coincidentally, this mutant has been studied by site-directed mutagenesis. The 279Leu variant was described to exert decreased specific binding properties for a GHSR agonist ([35S]MK-0677) compared with wild type (30). It is likely that this variant causes reduced function of the GHSR and might hence play a role in the etiology of SNS in the respective carrier. Interestingly, we found the mother of this SNS child, who also harbors the variant, is both short (height, 1.57 m) and obese (BMI, 34.6 kg/m2). Although these two variants have been observed only in one obese carrier and one SNS child, respectively, it is possible that association may be found with either an obese or short stature phenotype in an additional study with a different population or with a larger number of individuals.
No significant differences of allele or genotype frequencies were detected for all SNPs in GHSR between children with SNS and any other study group. Hence, no evidence for an association of any of the polymorphic sites with SNS could be detected. However, considering there were only 43 patients in our SNS group, this study is not a comprehensive analysis of the relationship between SNS and GHSR.
In conclusion, we identified seven sequence variants in the coding region of GHSR in different weight groups or SNS children. None of the SNPs seems to influence weight regulation or GH secretion. The two novel variants, which were detected in one obese carrier and one child with SNS only, await additional studies. We did not get conclusive evidence for an involvement of the GHSR in body weight regulation or SNS in our study groups.
| Acknowledgments |
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| Footnotes |
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Abbreviations: BMI, Body mass index; DHPLC, denaturing HPLC; GHS, GH secretagogue; GHSR, GHS receptor; MALDI-TOF MS, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry; RFLP, restriction fragment length polymorphism; SNP, single-nucleotide polymorphism; SNS, short normal stature; SSCP, single-strand conformational polymorphism; TDT, transmission disequilibrium test.
Received August 11, 2003.
Accepted October 14, 2003.
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