Literature DB >> 26935496

The Frequencies of Haplotypes of FTO Gene Variants and Their Association with the Distribution of Body Fat in Non-Obese Poles.

Katarzyna Kolačkov1, Łukasz Łaczmański1, Felicja Lwow2, David Ramsey3, Aleksandra Zdrojowy-Wełna1, Małgorzata Tupikowska4, Grażyna Bednarek-Tupikowska1.   

Abstract

BACKGROUND: The minor allele frequencies (MAFs) of the FTO gene vary substantially among different ethnic groups, and this variation may explain, to some degree, the differences between estimates of the effects of these alleles on body fat distribution indicators.
OBJECTIVES: The aim of this study was to investigate the prevalence of fat mass and obesity associated (FTO) gene variants characterizing the structure of FTO haplotypes in a large Polish population, and to examine the influence of FTO gene variants on body fat distribution among metabolically obese normal weight (MONW) individuals, i.e. those with a normal BMI and visceral obesity.
MATERIAL AND METHODS: A total of 854 non-obese individuals aged from 20 to 40 years, residing in three different regions in Poland, were studied. All the patients from this group were genotyped for four FTO gene variants (rs9939609, rs9930506, rs1421085 and rs1121980). Simultaneous identification of all single nucleotide polymorphisms (SNPs) was conducted using the minisequencing method with a pair of designed specific primers.
RESULTS: Over 90% of the diplotypes contain only the two most common haplotypes, in three combinations of haplotype pairs: CTAT/CTAT comprised 26.9% in women and 30.9% in men; CTAT/TCGA comprised 45.0% in women and 44.4% in men; and TCGA/TCGA comprised 19.3% in woman and 14.8% in men. The analysis of the variance in body fat distribution parameters shows no statistically significant differences between the three common haplotype pairs in either men or women.
CONCLUSIONS: The young Polish population is characterized by two disparate haplotypes of common FTO gene variants: TCGA (a risk SNP haplotype), and CTAT (a protective haplotype). No significant differences were found between fat distribution indicators in relation to haplotypes in either women and men.

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Year:  2016        PMID: 26935496     DOI: 10.17219/acem/60645

Source DB:  PubMed          Journal:  Adv Clin Exp Med        ISSN: 1899-5276            Impact factor:   1.727


  7 in total

1.  FTO haplotyping underlines high obesity risk for European populations.

Authors:  Vladimir Babenko; Roman Babenko; Junaid Gamieldien; Arcady Markel
Journal:  BMC Med Genomics       Date:  2019-03-13       Impact factor: 3.063

2.  Association between FTO gene polymorphisms and HDL cholesterol concentration may cause higher risk of cardiovascular disease in patients with acromegaly.

Authors:  Aleksandra Franczak; Katarzyna Kolačkov; Aleksandra Jawiarczyk-Przybyłowska; Marek Bolanowski
Journal:  Pituitary       Date:  2018-02       Impact factor: 4.107

3.  The Influence of FTO Polymorphism rs9939609 on Obesity, Some Clinical Features, and Disturbance of Carbohydrate Metabolism in Patients with Psoriasis.

Authors:  Małgorzata Tupikowska-Marzec; Katarzyna Kolačkov; Aleksandra Zdrojowy-Wełna; Natalia K Słoka; Jacek C Szepietowski; J Maj
Journal:  Biomed Res Int       Date:  2019-01-13       Impact factor: 3.411

4.  Relationship of FTO gene variations with NAFLD risk in Chinese men.

Authors:  Xuefen Chen; Yong Gao; Xiaobo Yang; Haiying Zhang; Zengnan Mo; Aihua Tan
Journal:  Open Life Sci       Date:  2020-11-30       Impact factor: 0.938

5.  Analysis of coding variants in the human FTO gene from the gnomAD database.

Authors:  Mauro Lúcio Ferreira Souza Junior; Jaime Viana de Sousa; João Farias Guerreiro
Journal:  PLoS One       Date:  2022-01-06       Impact factor: 3.240

Review 6.  New Insights Regarding Genetic Aspects of Childhood Obesity: A Minireview.

Authors:  Cristina Oana Mǎrginean; Claudiu Mǎrginean; Lorena Elena Meliţ
Journal:  Front Pediatr       Date:  2018-10-04       Impact factor: 3.418

7.  The association between polymorphisms near TMEM18 and the risk of obesity: a meta-analysis.

Authors:  Natalia Koj; Łukasz Grochowalski; Justyna Jarczak; Weronika Wójtowicz; Marta Sobalska-Kwapis; Marcin Słomka; Błażej Marciniak; Dominik Strapagiel
Journal:  BMC Med Genomics       Date:  2021-07-06       Impact factor: 3.063

  7 in total

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