Dataset Information

Combined effect of established BMI loci on obesity-related traits in an Algerian population sample.

ABSTRACT: BACKGROUND: Genome-wide association studies have identified variants associated with BMI in populations of European descent. We sought to establish whether genetic variants that are robustly associated with BMI could modulate anthropometric traits and the obesity risk in an Algerian population sample, the ISOR study. RESULTS: We found that each additional risk allele in the GPS was associated with an increment in the mean [95% CI] for BMI of 0.15 [0.06 - 0.24] kg/m2 (p?=?0.001). Although the GPS was also associated with higher waist (p?=?0.02) and hip (p?=?0.02) circumferences, these associations were in fact driven by BMI. The GPS was also associated with an 11% higher risk of obesity (OR [95%CI]?=?1.11 [1.05 - 1.18], p?=?0.0004). CONCLUSIONS: Our data showed that a GPS comprising 29 BMI established loci developed from Europeans seems to be a valid score in a North African population. Our findings contribute to a better understanding of the genetic susceptibility to obesity in Algeria.

SUBMITTER: Badsi MN

PROVIDER: S-EPMC4247883 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Combined effect of established BMI loci on obesity-related traits in an Algerian population sample.

Badsi Manel Nassima MN Mediene-Benchekor Sounnia S Ouhaibi-Djellouli Hadjira H Lardjam-Hetraf Sarah Aicha SA Boulenouar Houssam H Meroufel Djabaria Naïma DN Hermant Xavier X Hamani-Medjaoui Imane I Saidi-Mehtar Nadhira N Amouyel Philippe P Houti Leila L Meirhaeghe Aline A Goumidi Louisa L

BMC genetics 20141125

<h4>Background</h4>Genome-wide association studies have identified variants associated with BMI in populations of European descent. We sought to establish whether genetic variants that are robustly associated with BMI could modulate anthropometric traits and the obesity risk in an Algerian population sample, the ISOR study.<h4>Results</h4>We found that each additional risk allele in the GPS was associated with an increment in the mean [95% CI] for BMI of 0.15 [0.06 - 0.24] kg/m2 (p = 0.001). Alt ...[more]

PMID: 25422053

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Project description:Identifying individual characteristics based on trace evidence left at a crime scene is crucial in forensic identification. Microbial communities found in fecal traces have high individual specificity and could serve as potential markers for forensic characterization. Previous research has established that predicting body type based on the relative abundance of the gut microbiome is relatively accurate. However, the long-term stability and high individual specificity of the gut microbiome are closely linked to changes at the genome level of the microbiome. No studies have been conducted to deduce body shape from genetic traits. Therefore, in this study, the vital role of gut bacterial community characteristics and genetic traits in predicting body mass index (BMI) was investigated using gut metagenomic data from a healthy Chinese population. Regarding the gut microbial community, the underweight group displayed increased α-diversity in comparison to the other BMI groups. There were significant differences in the relative abundances of 19 species among these three BMI groups. The BMI prediction model, based on the 31 most significant species, showed a goodness of fit (R2) of 0.56 and a mean absolute error (MAE) of 2.09 kg/m2. The overweight group exhibited significantly higher α-diversity than the other BMI groups at the level of gut microbial genes. Furthermore, there were significant variations observed in the single-nucleotide polymorphism (SNP) density of 732 contigs between these three BMI groups. The BMI prediction model, reliant on the 62 most contributing contigs, exhibited a model R2 of 0.72 and an MAE of 1.56 kg/m2. The model predicting body type from 44 contigs correctly identified the body type of 93.55% of the study participants. Based on metagenomic data from a healthy Chinese population, we demonstrated the potential of genetic traits of gut bacteria to predict an individual's BMI. The findings of this study suggest the effectiveness of a novel method for determining the body type of suspects in forensic applications using the genetic traits of the gut microbiome and holds great promise for forensic individual identification.

Dataset Information

Combined effect of established BMI loci on obesity-related traits in an Algerian population sample.

Publications

Combined effect of established BMI loci on obesity-related traits in an Algerian population sample.

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