Evidences on three relevant obesogenes: MC4R, FTO and PPARγ. Approaches for personalized nutrition

Razquín, Cristina; Martí, Amelia; Martínéz, J. Alfredo

doi:10.1002/mnfr.201000445

Cited by 103 publications

(91 citation statements)

References 118 publications

(107 reference statements)

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“…Pro12Ala variant of PPARG2 gene is one of the most studied genes as potentially linked to obesity phenotypes (Razquin et al 2011). Previous meta-analysis had associated the Ala12 minor allele with a higher BMI (Masud 2003;Tonjes et al 2006;Galbete et al in press), and this study confirmed in a larger sample of aged subject the association of the Ala12 allele with obesity risk.…”

Section: Discussionsupporting

confidence: 75%

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Lifestyle factors modify obesity risk linked to PPARG2 and FTO variants in an elderly population: a cross-sectional analysis in the SUN Project

et al. 2012

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Genetic factors may interact with lifestyle factors to modify obesity risk. FTO and PPARG2 are relevant obesogenes. Our aim was to explore the effect of Pro12Ala (rs1801282) of PPARG2 and rs9939609 of FTO on obesity risk and to examine their interaction with lifestyle factors in an elderly population. Subjects (n = 978; aged 69 ± 6) were recruited from the SUN (Seguimiento Universidad de Navarra) Project. DNA was obtained from saliva, and lifestyle and dietary data were collected by validated self-reported questionnaires. Genotyping was assessed by RT-PCR plus allele discrimination. Subjects carrying the Ala allele of PPARG2 gene had a significantly increased obesity risk compared to non-carrier (Pro12Pro) subjects (OR, 1.66; 95 % CI, 1.01-2.74; p = 0.045). Greater obesity risk was also found in inactive or high carbohydrate intake subjects with the Ala12 allele of PPARG2 gene. Interestingly, subjects carrying the Ala allele of the PPARG2 gene and with a high CHO ([246 g/ day) intake had an increased obesity risk compared to Pro12Pro subjects (OR, 2.67; 95 % CI, 1.3-5.46; p = 0.007; p for [CHO 9 PPARG2] interaction = 0.046). Moreover, in subjects with a high CHO intake, the co-presence of the Ala allele of PPARG2 gene and one minor A allele (rs9939609) of FTO gene did increase obesity risk (OR, 3.26; 95 % CI,; p = 0.021) when compared to non-carrier (Pro12Pro/TT) subjects. In conclusion, it appears that lifestyle factors may act as effect modifiers for obesity risk linked to Ala12 allele of the PPARG2 gene and the minor A allele of FTO gene in an elderly population.

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Section: Discussionsupporting

confidence: 75%

“…FTO and PPARG2 gene variants for obesity risk have been widely studied (Razquin et al 2011). Several meta-analyses showed an increased body mass index (BMI) in subjects with the Ala allele of the PPARG2 gene (Masud 2003;Tonjes et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Lifestyle factors modify obesity risk linked to PPARG2 and FTO variants in an elderly population: a cross-sectional analysis in the SUN Project

et al. 2012

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“…In contrast with monogenic obesity, in polygenic obesity each mutation leads to a variant that confers susceptibility, requiring additionally the presence of other variants and an obesogenic environment to determine the obese phenotype (Razquin et al 2011). There are two main approaches for the detection and analysis of a candidate gene in body weight regulation: linkage analysis and association studies.…”

Section: Genetic Approach For Common Obesitymentioning

confidence: 99%

Current review of genetics of human obesity: from molecular mechanisms to an evolutionary perspective

et al. 2015

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Although the prevalence of obesity is increasing in most countries, partially due to ubiquitous exposure to energy dense foods, not everyone exposed to the current obesogenic environment shows unhealthy weight gain. This suggests that there are marked differences in genetic factors that increase vulnerability for excess weight gain. Indeed, evidence suggests that 40 to 70% of variance in unhealthy weight gain can be attributed to individual genetic variations. Moreover, emerging data imply that genetic vulnerability factors interact with environment risk, which is referred to as an epigenetic process.Whereas most scholars consider obesity to be a disorder that results from the interaction between lifestyle and genetic factors, its origin is complex, poorly understood, and extent treatments are typically ineffective. Like any other aspect of science, our knowledge about the genetic basis of obesity is under constant revision. The current paper provides a review on the origins, mechanisms, evolutionary explanation, prevention and treatment based on genotyping.

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“…Melanocortin-4 receptor (MC4R), a G-protein-coupled receptor, is involved in appetite regulation and energy balance (Barb et al, 2004;Seeley et al, 2004;Razquin et al, 2011). In humans, more than 150 mutations in the MC4R gene have been found, some of which are associated with obesity (Huang et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Synonymous single nucleotide polymorphisms in the MC4R gene that are significantly associated with milk production traits in water buffaloes

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et al. 2016

Genet. Mol. Res.

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ABSTRACT. Melanocortin-4 receptor (MC4R) is associated with feed intake, growth, fatness, and carcass composition in many domestic animals. The aim of this study was to evaluate the association of single nucleotide polymorphisms (SNPs) in MC4R with milk production traits in water buffalo. Eight SNPs were identified by direct polymerase chain reaction sequencing of samples from 18 buffaloes. SNPs were then genotyped using the matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) method in 332 buffaloes. Two of eight SNPs were not in HardyWeinberg equilibrium. Based on the SNP data, seven haplotypes were constructed. Three SNPs H1 (AGT), H2 (GAT), and H3 (GAC) accounted for 93.0% of the total individuals. Statistical analysis indicated that the SNP g.1104C>T was significantly associated with milk yield, protein, and fat percentage (P < 0.05). In conclusion, these results provide evidence that polymorphisms in the buffalo MC4R gene are associated with milk production traits and might be potential biomarkers for water buffalo breeding.

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Evidences on three relevant obesogenes: MC4R, FTO and PPARγ. Approaches for personalized nutrition

Cited by 103 publications

References 118 publications

Lifestyle factors modify obesity risk linked to PPARG2 and FTO variants in an elderly population: a cross-sectional analysis in the SUN Project

Lifestyle factors modify obesity risk linked to PPARG2 and FTO variants in an elderly population: a cross-sectional analysis in the SUN Project

Current review of genetics of human obesity: from molecular mechanisms to an evolutionary perspective

Synonymous single nucleotide polymorphisms in the MC4R gene that are significantly associated with milk production traits in water buffaloes

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