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1.
Lifestyle Genom ; 12(1-6): 1-9, 2019.
Article in English | MEDLINE | ID: mdl-31352438

ABSTRACT

BACKGROUND/AIMS: Metabolic syndrome (MetS) comprises a cluster of physiological and anthropometric abnormalities. MetS has been linked to lactose intolerance (LI). The aim of this study was to compare the sensitivity and specificity to detect LI using 2 different tests: (1) a genetic test and (2) an oral lactose tolerance test (OLTT). METHODS: Two hundred and fifty-four MetS patients, ≥20 years of age, of both genders, were recruited for this comparative study. Nine single nucleotide polymorphisms (SNPs) were selected for genetic investigation: rs182549and rs4988235(both considered "gold standard"); rs56064699; rs148142676; rs562211644; rs59533246; rs3754689; rs2278544,and rs10552864(as potential novel SNPs). Sensitivity and specificity, as well as positive and negative predictive values, were calculated for each genotype using WINPEPI version 11.65. Differences between positive and negative OLTT groups were considered statistically significant when p ≤ 0.05. RESULTS: Among the selected SNPs, only rs182549(p < 0.001) and rs4988235(p < 0.001) gave similar results compared to an OLTT. The sensitivity of both SNPs to detect LI was 87 and 86%, and specificity was 83 and 82.5%, respectively. CONCLUSION: Genetic tests using rs182549and rs4988235SNPs showed high agreement with OLTT. These genetic tests may be a good option to replace OLTT in MetS patients.


Subject(s)
Lactose Intolerance/diagnosis , Lactose Intolerance/genetics , Metabolic Syndrome/genetics , Polymorphism, Single Nucleotide , Adult , Aged , Black People/ethnology , Black People/genetics , Brazil/epidemiology , Ethnicity/genetics , Ethnicity/statistics & numerical data , Female , Gene Frequency , Genetic Predisposition to Disease/ethnology , Genetic Testing/methods , Genotype , Humans , Lactose Intolerance/complications , Lactose Intolerance/ethnology , Lactose Tolerance Test , Male , Metabolic Syndrome/complications , Metabolic Syndrome/ethnology , Middle Aged , Prevalence , Sensitivity and Specificity , White People/ethnology , White People/genetics
2.
Br J Nutr ; 117(11): 1503-1510, 2017 Jun.
Article in English | MEDLINE | ID: mdl-28659218

ABSTRACT

Previous studies have shown associations of variants of the FTO gene with body weight, but none of these have involved Latin American populations with a high level of miscegenation, as is seen in the north-eastern Brazilian population. This study evaluated the association between SNP in the FTO gene and excess weight in Salvador, Bahia, Brazil. In addition, the effect of diet as a modifier on this association was also investigated. This cross-sectional study included 1191 participants aged 4-11 years, who were genotyped for 400 variants of the FTO gene. Direct anthropometric measures were made and dietary data were obtained by 24-h food recall. Multivariate logistic regression analyses were used to assess the associations of interest. Overall, 11·2 % of the individuals included in the study were overweight/obese. Interactions were identified between the percentage energy intake from proteins and obesity risk linked to the rs62048379 SNP (P interaction=0·01) and also between fat intake (PUFA:SFA ratio) and obesity risk linked to the rs62048379 SNP (P interaction=0·01). The T allele for the variant rs62048379 was positively associated with overweight/obesity in individuals whose percentage energy intake from protein was above the median (OR 2·00; 95 % CI 1·05, 3·82). The rs62048379 SNP was also associated with overweight/obesity in individuals whose PUFA:SFA ratio was below the median (OR 1·63; 95 % CI 1·05, 2·55). The association between FTO gene variants and excess body weight can be modulated by dietary characteristics, particularly by fatty acid distribution and dietary protein intake in children.


Subject(s)
Alpha-Ketoglutarate-Dependent Dioxygenase FTO/genetics , Body Weight , Diet , Gene-Environment Interaction , Genotype , Obesity/genetics , Polymorphism, Single Nucleotide , Alleles , Brazil , Child , Child, Preschool , Cross-Sectional Studies , Diet Surveys , Energy Intake , Feeding Behavior , Female , Humans , Logistic Models , Male , Overweight/genetics , Pediatric Obesity/genetics , Racial Groups
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