Association of the Variant rs7561317 Downstream of the TMEM18 Gene with Overweight/Obesity and Related Anthropometric Traits in a Sample of Pakistani Population

Rana, Sobia; Sultana, Ayesha

doi:10.1007/s10528-019-09940-2

Cited by 4 publications

(1 citation statement)

References 40 publications

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“…The allele frequencies of some SNPs In this work were higher compared to other ethnic groups, such as the G allele of PCSK1 rs6235 (19.99%) and the G allele of GPX5 rs445870 (33%) [ 21 , 22 ], but the frequencies of other SNPs were similar to those of different populations, such as the C allele of TMEM18 rs6548238 [ 23 , 24 ]. The differences in SNP frequencies compared to our study may be because the other studies were conducted in different populations, such as Asians or Europeans.…”

Section: Discussionmentioning

confidence: 70%

Association of PCSK1 and PPARG1 Allelic Variants with Obesity and Metabolic Syndrome in Mexican Adults

Velazquez-Roman,

Angulo-Zamudio,

Leon-Sicairos

et al. 2023

Genes

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Metabolic diseases, including obesity, diabetes, and metabolic syndrome, are among the most important public health challenges worldwide. Metabolic diseases are classified as multifactorial diseases in which genetic variants such as single-nucleotide polymorphisms (SNPs) may play an important role. The present study aimed to identify associations linking allelic variants of the PCSK1, TMEM18, GPX5, ZPR1, ZBTB16, and PPARG1 genes with anthropometric and biochemical traits and metabolic diseases (obesity or metabolic syndrome) in an adult population from northwestern Mexico. Methods: Blood samples were collected from 523 subjects, including 247 with normal weight, 276 with obesity, and 147 with metabolic syndrome. Anthropometric and biochemical characteristics were recorded, and single-nucleotide polymorphisms (SNPs) were genotyped by real-time PCR. Results: PCSK1 was significantly (p < 0.05) associated with BMI, weight, and waist-to-hip ratio; TMEM18 was significantly associated with systolic blood pressure and triglyceride levels; GPX5 was significantly associated with HDL cholesterol levels. In addition, PCSK1 was associated with obesity (p = 1.0 × 10−4) and metabolic syndrome (p = 3.0 × 10−3), whereas PPARG1 was associated with obesity (p = 0.044). Conclusions: The associations found in this study, mainly between allelic variants of PCSK1 and metabolic traits, obesity, and metabolic syndrome, may represent a risk for developing metabolic diseases in adult subjects from northwestern Mexico.

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Section: Discussionmentioning

confidence: 70%

Association of PCSK1 and PPARG1 Allelic Variants with Obesity and Metabolic Syndrome in Mexican Adults

Velazquez-Roman,

Angulo-Zamudio,

Leon-Sicairos

et al. 2023

Genes

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Effect of interaction between obesity-promoting genetic variants and behavioral factors on the risk of obese phenotypes

2021

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Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis

Rana

Bhatti

2021

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Obesity is an outcome of multiple factors including environmental and genetic influences. Common obesity is a polygenic trait indicating that multiple genetic variants act synergistically to influence its expression. We constructed a genetic risk score (GRS) based on five genetic variants (MC4R rs17782313, BDNF rs6265, FTO rs1421085, TMEM18 rs7561317, and NEGR1 rs2815752) and examined its association with obesity-related traits in a sample of Pakistanis. The study involved 306 overweight/obese (OW/OB) and 300 normal-weight (NW) individuals. The age range of the study participants was 12–63 years. All anthropometric and metabolic parameters were measured for each participant via standard procedures and biochemical assays, respectively. The genetic variants were genotyped by allelic discrimination assays. The age- and gender-adjusted associations between the GRS and obesity-related anthropometric and metabolic measures were determined using linear regression analyses. The results showed that OW/OB individuals had significantly higher mean ranks of GRS than NW individuals. Moreover, a significant association of the GRS with obesity-related anthropometric traits was seen. However, the GRS did not appear to affect any obesity-related metabolic parameter. In conclusion, our findings indicate the combined effect of multiple genetic variants on the obesity-related anthropometric phenotypes in Pakistanis.

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Association of the Variant rs7561317 Downstream of the TMEM18 Gene with Overweight/Obesity and Related Anthropometric Traits in a Sample of Pakistani Population

Cited by 4 publications

References 40 publications

Association of PCSK1 and PPARG1 Allelic Variants with Obesity and Metabolic Syndrome in Mexican Adults

Association of PCSK1 and PPARG1 Allelic Variants with Obesity and Metabolic Syndrome in Mexican Adults

Effect of interaction between obesity-promoting genetic variants and behavioral factors on the risk of obese phenotypes

Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis

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