ArticlePloS one2018
Computational analyses of obesity associated loci generated by genome-wide association studies.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Deciphering the genetic landscape of obesity: a data-driven approach to identifying plausible causal genes and therapeutic targets.Journal of human genetics · 2023Pooled it
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- Targeting the central melanocortin system for the treatment of metabolic disorders.Nature reviews. Endocrinology · 2023Review
- Investigation the interaction of dietary fat quality indices and the MC4R gene in metabolically healthy and unhealthy overweight and obese women.Scientific reports · 2023Article
- Gene-environment interactions and the case of body mass index and obesity: How much do they matter?PNAS nexus · 2023Article
- Environmental carcinogens disproportionally mutate genes implicated in neurodevelopmental disorders.Frontiers in neuroscience · 2023Article
- Plasma circulating microRNAs associated with obesity, body fat distribution, and fat mass: the Rotterdam Study.International journal of obesity (2005) · 2022Article
- A systems genomics approach to uncover patient-specific pathogenic pathways and proteins in ulcerative colitis.Nature communications · 2022Article
- Genomic analysis to screen potential genes and mutations in children with non-syndromic early onset severe obesity: a multicentre study in Turkey.Molecular biology reports · 2022Article
- Hypothalamic Estrogen Signaling and Adipose Tissue Metabolism in Energy Homeostasis.Frontiers in endocrinology · 2022Review
- Interactions between Polygenic Risk Scores, Dietary Pattern, and Menarche Age with the Obesity Risk in a Large Hospital-Based Cohort.Nutrients · 2021Article
- Genes in human obesity loci are causal obesity genes in C. elegans.PLoS genetics · 2021Article
- The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes.Molecular medicine (Cambridge, Mass.) · 2021Article
- High-Throughput Screening of Mouse Gene Knockouts Identifies Established and Novel High Body Fat Phenotypes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
- Viral and Nonviral Transfer of Genetic Materials to Adipose Tissues: Toward a Gold Standard Approach.Diabetes · 2020Review
- Protein-Protein interactions uncover candidate 'core genes' within omnigenic disease networks.PLoS genetics · 2020Article
- Genetic background and diet affect brown adipose gene coexpression networks associated with metabolic phenotypes.Physiological genomics · 2020Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesGenome-wide association studies (GWASs) have discovered associations of numerous SNPs and genes with obesity. However, the underlying molecular mechanisms through which these SNPs and genes affect the predisposition to obesity remain not fully understood. Aims of our study are to comprehensively characterize obesity GWAS SNPs and genes through computational approaches.
methodsFor obesity GWAS identified SNPs, functional annotation, effects on miRNAs binding and impact on protein phosphorylation were performed via RegulomeDB and 3DSNP, miRNASNP, and the PhosSNP 1.0 database, respectively. For obesity associated genes, protein-protein interaction network construction, gene ontology and pathway enrichment analyses were performed by STRING, PANTHER and STRING, respectively.
resultsA total of 445 SNPs are significantly associated with obesity related phenotypes at threshold P < 5×10-8. A number of SNPs were eQTLs for obesity associated genes, some SNPs located at binding sites of obesity related transcription factors. SNPs that might affect miRNAs binding and protein phosphorylation were identified. Protein-protein interaction network analysis identified the highly-interconnected "hub" genes. Obesity associated genes mainly involved in metabolic process and catalytic activity, and significantly enriched in 15 signal pathways.
conclusionsOur results provided the targets for follow-up experimental testing and further shed new light on obesity pathophysiology.
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