| Literature DB >> 18799002 |
Timo D Müller1, Anke Hinney, André Scherag, Thuy T Nguyen, Felix Schreiner, Helmut Schäfer, Johannes Hebebrand, Christian L Roth, Thomas Reinehr.
Abstract
BACKGROUND: We have previously identified strong association of six single nucleotide polymorphisms (SNPs) in FTO (fat mass and obesity associated gene) to early onset extreme obesity within the first genome wide association study (GWA) for this phenotype. The aim of this study was to investigate whether the obesity risk allele of one of these SNPs (rs9939609) is associated with weight loss in a lifestyle intervention program. Additionally, we tested for association of rs9939609 alleles with fasting blood parameters indicative of glucose and lipid metabolism.Entities:
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Year: 2008 PMID: 18799002 PMCID: PMC2553771 DOI: 10.1186/1471-2350-9-85
Source DB: PubMed Journal: BMC Med Genet ISSN: 1471-2350 Impact factor: 2.103
Genotype and allele frequencies of the intronic FTO SNP rs9939609
| Genotypes | Alleles1 | Odds ratio2 | |||||||
| N | TT | AT | AA | T | A | TT | AT | AA | |
| Cases3 | 519 | 140 (27) | 238 (46) | 141 (27) | 0.50 | 0.50 | 1.00 | 1.24 | 1.54 |
| Controls4 | 178 | 56 (31) | 86 (48) | 36 (20) | 0.56 | 0.44 | [0.98...1.57] | [0.96...2.46] | |
1 genotype and allele frequencies of control samples (normal weight adults) are similar to the allele frequencies reported for the European population in the dbSNP database , 2 asymptotic one-sided p-value for association of the A-allele with obesity is p = 0.036, 3 cases comprise 519 German overweight and obese children and adolescents, 4 controls comprise 178 normal weight healthy adults
Analyses of BMI-SDS changes in German obese children and adolescents who participated in the obesity intervention program 'Obeldicks'
| Parameter | N1 | Genotype | N (%) | Mean ± SD | Additive genetic model2 | ||
| Estimate | 95% CI | p-value3 | |||||
| Δ BMI-SDS4,5 | 207 | TT | 53 (26) | 0.33 ± 0.40 | -0.032 | -0.091...0.027 | 0.287 |
| AT | 86 (41) | 0.25 ± 0.27 | |||||
| AA | 68 (33) | 0.27 ± 0.27 | |||||
1 total number of individuals who participated in the obesity intervention program; 2 linear regression analyses for BMI-SDS including covariates age and sex- including baseline BMI-SDS did not substantially alter the result; the p-value for the sex main effect was 0.740; 3 two-sided p-value; 4 median time interval between repeated measurements 12 months; positive values for descriptive statistics indicate weight reduction in units of BMI-SDS; asymptotic two-sided p-value for Kruskal-Wallis Test 0.44; 5 A trend towards a deviation from Hardy-Weinberg equilibrium was observable for genotype frequencies for Δ BMI-SDS (exact p = 0.02). This finding, however, is not surprising and expected in case of a true genetic association and indeed the number of homozygotes for the at-risk A-allele was increased in these patients compared to controls.
Baseline measures of blood parameters and BMI-SDS in German fasted obese children and adolescents
| Parameter | N1 | Genotype | N (%) | Mean ± SD | Additive genetic model2 | ||
| Estimate | 95% CI | p-value3 | |||||
| BMI-SDS7 | 519 | TT | 140 (27) | 2.53 ± 0.49 | 0.025 | -0.034...0.083 | 0.410 |
| AT | 238 (46) | 2.60 ± 0.51 | |||||
| AA | 141 (27) | 2.58 ± 0.52 | |||||
| TGL [mg/dl]4 | 332 | TT | 94 (28) | 115.15 ± 65.17 | -0.008 | -0.039...0.022 | 0.590 |
| AT | 159 (48) | 107.89 ± 52.75 | |||||
| AA | 79 (24) | 109.52 ± 53.64 | |||||
| LDL [mg/dl]5 | 323 | TT | 93 (29) | 104.18 ± 30.12 | -0.001 | -0.021...0.020 | 0.947 |
| AT | 153 (47) | 106.52 ± 32.67 | |||||
| AA | 77 (24) | 103.42 ± 30.75 | |||||
| HDL [mg/dl]6 | 324 | TT | 93 (29) | 50.25 ± 11.26 | -0.004 | -0.018...0.010 | 0.601 |
| AT | 153 (47) | 50.92 ± 11.28 | |||||
| AA | 78 (24) | 49.33 ± 11.54 | |||||
| Glucose [mg/dl]7 | 480 | TT | 136 (28) | 85.54 ± 9.09 | -0.003 | -0.009...0.003 | 0.350 |
| AT | 216 (45) | 84.67 ± 9.54 | |||||
| AA | 128 (27) | 84.37 ± 8.60 | |||||
1 total number of obese individuals, from which baseline measures were available; 2 linear regression analyses for log10-transformed parameters or BMI-SDS including covariates age and sex; 3 two-sided p-value; 4 TGL: triglycerides; 5 LDL: low density lipoprotein; 6 HDL: high density lipoprotein; 7A trend towards a deviation from Hardy-Weinberg equilibrium was observable for genotype frequencies for BMI-SDS and glucose (exact p = 0.07; 0.03, respectively). This finding, however, is not surprising and expected in case of a true genetic association and indeed the number of homozygotes for the at-risk A-allele was increased in these patients compared to controls.