Gene-by-Sex Interactions: Genome-Wide Association Study Reveals Five SNPs Associated with Obesity and Overweight in a Male Population.
Maria-Anna KyrgiafiniTheologia SarafidouThemistoklis GiannoulisAlexia ChatziparasidouNikolaos ChristoforidisZissis MamurisPublished in: Genes (2023)
Obesity is a chronic health problem associated with severe complications and with an increasing prevalence in the Western world. Body-fat composition and distribution are closely associated with obesity, but the human body's composition is a sexually dimorphic trait, as differences between the two sexes are evident even from fetal life. The effect of sex hormones contributes to this phenomenon. However, studies investigating gene-by-sex interactions for obesity are limited. Therefore, the aim of the present study was to identify single-nucleotide polymorphisms (SNPs) associated with obesity and overweight in a male population. A genome-wide association study (GWAS) that included 104 control, 125 overweight, and 61 obese subjects revealed four SNPs associated with overweight (rs7818910, rs7863750, rs1554116, and rs7500401) and one SNP (rs114252547) associated with obesity in males. An in silico functional annotation was subsequently used to further investigate their role. Most of the SNPs were found in genes regulating energy metabolism and homeostasis, and some of them were expression quantitative trait loci (eQTL). These findings contribute to the understanding of the molecular mechanisms underlying obesity-related traits, especially in males, and pave the road for future research toward the improvement of the diagnosis and therapy of obese individuals.
Keyphrases
- weight loss
- genome wide
- metabolic syndrome
- weight gain
- insulin resistance
- genome wide association study
- high fat diet induced
- type diabetes
- bariatric surgery
- adipose tissue
- physical activity
- poor prognosis
- copy number
- gene expression
- public health
- skeletal muscle
- risk factors
- long non coding rna
- south africa
- human health
- climate change
- bone marrow
- cell therapy
- bioinformatics analysis
- molecular docking