Abstract
BackgroundGenome-wide association studies have identified variants associated with obesity-related traits, such as the body mass index (BMI). We sought to determine how the combination of 31 validated, BMI-associated loci contributes to obesity- and diabetes-related traits in a French population sample. The MONA LISA Lille study (1578 participants, aged 35–74) constitutes a representative sample of the population living in Lille (northern France). Genetic variants were considered both individually and combined into a genetic predisposition score (GPS).ResultsIndividually, 25 of 31 SNPs showed directionally consistent effects on BMI. Four loci (FTO, FANCL, MTIF3 and NUDT3) reached nominal significance (p ≤ 0.05) for their association with anthropometric traits. When considering the combined effect of the 31 SNPs, each additional risk allele of the GPS was significantly associated with an increment in the mean [95% CI] BMI of 0.13 [0.07-0.20] kg/m2 (p = 6.3x10-5) and a 3% increase in the risk of obesity (p = 0.047). The GPS explained 1% of the variance in the BMI. Furthermore, the GPS was associated with higher fasting glycaemia (p = 0.04), insulinaemia (p = 0.008), HbA1c levels (p = 0.01) and HOMA-IR scores (p = 0.0003) and a greater risk of type 2 diabetes (OR [95% CI] = 1.06 [1.00-1.11], p = 0.03). However, these associations were no longer statistically significant after adjustment for BMI.ConclusionOur results show that the GPS was associated with a higher BMI and an insulin-resistant state (mediated by BMI) in a population in northern France.
Highlights
Genome-wide association studies have identified variants associated with obesity-related traits, such as the body mass index (BMI)
Characteristics of the MONA LISA Lille study The characteristics of the study participants are summarized in Additional file 1: Table S1
The FTO rs9939609 and FANCL rs887912 Single nucleotide polymorphism (SNP) were nominally associated with BMI (β ± Standard error (SE) = 0.49 ± 0.19 kg/m2, p = 0.008 and β ± SE = 0.54 ± 0.19 kg/m2, p = 0.005, respectively)
Summary
Genome-wide association studies have identified variants associated with obesity-related traits, such as the body mass index (BMI). We sought to determine how the combination of 31 validated, BMI-associated loci contributes to obesity- and diabetes-related traits in a French population sample. According to the World Health Organization (WHO)’s criterion for obesity (body mass index (BMI) ≥ 30 kg/m2), up to 15% of the adults in Europe are obese [1]. Body fat mass is influenced by the combination of genetic factors and lifestyle factors (such as diet and physical activity). And twin studies have shown that genetic factors account for 40–70% of the population variation in BMI [5,6]; this may explain why people are not all affected by obesity in an obesogenic environment [7]
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