ArticleBMC genomics2017
Population differentiation in allele frequencies of obesity-associated SNPs.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Single nucleotide polymorphisms (SNPs) that are associated with obesity and type 2 diabetes among Asians: a systematic review and meta-analysis.Scientific reports · 2024Pooled it
- Trans-ancestry meta-analysis of genome wide association studies of inhibitory control.Molecular psychiatry · 2023Pooled it
- The association between polymorphisms near TMEM18 and the risk of obesity: a meta-analysis.BMC medical genomics · 2021Pooled it
- Major Ethnic Populations Are Significantly Differentiated at the Glioblastoma Multiforme Candidate Loci.International journal of molecular sciences · 2026Article
- Rising Tide of Crustacean Allergies in East Asia: a Comprehensive Review of Genetic Insights and Implications for Early Evaluation of Health Risks.Clinical reviews in allergy & immunology · 2026Review
- Genetic structure of different ethnic populations at the frontotemporal dementia risk loci.PloS one · 2025Article
- Genetic and Anthropometric Interplay: How Waist-to-Hip Ratio Modulates LDL-c Levels in Mexican Population.Nutrients · 2024Article
- Estimation of genetic variation in vitiligo associated genes: Population genomics perspective.BMC genomic data · 2024Article
- Genetic variation in NOTCH1 is associated with overweight and obesity in Brazilian elderly.Scientific reports · 2024Article
- Bayesian approach to assessing population differences in genetic risk of disease with application to prostate cancer.PLoS genetics · 2024Article
- Assessing efficiency of fine-mapping obesity-associated variants through leveraging ancestry architecture and functional annotation using PAGE and UKBB cohorts.Human genetics · 2023Article
- Comparison of Risk Allele Frequencies of Psoriasis-Associated Single-Nucleotide Polymorphisms in Different Population Groups.Annals of dermatology · 2023Article
- Risk Allele Frequency Analysis and Risk Prediction of Single-Nucleotide Polymorphisms for Prostate Cancer.Genes · 2022Article
- Pharmacogenomics in Psychiatry Practice: The Value and the Challenges.International journal of molecular sciences · 2022Review
- Common BMI and diabetes-related genetic variants: A pilot study among indigenous people in the Brazilian Amazon.Genetics and molecular biology · 2022Article
- Article
- Aberrant CaScience signaling · 2021Article
- Metabolic Messengers: tumour necrosis factor.Nature metabolism · 2021Review
- Article
- Analysis of risk allele frequencies of single nucleotide polymorphisms related to open-angle glaucoma in different ethnic groups.BMC medical genomics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundObesity is emerging as a global health problem, with more than one-third of the world's adult population being overweight or obese. In this study, we investigated worldwide population differentiation in allele frequencies of obesity-associated SNPs (single nucleotide polymorphisms).
resultsWe collected a total of 225 obesity-associated SNPs from a public database. Their population-level allele frequencies were derived based on the genotype data from 1000 Genomes Project (phase 3). We used hypergeometric model to assess whether the effect allele at a given SNP is significantly enriched or depleted in each of the 26 populations surveyed in the 1000 Genomes Project with respect to the overall pooled population. Our results indicate that 195 out of 225 SNPs (86.7%) possess effect alleles significantly enriched or depleted in at least one of the 26 populations. Populations within the same continental group exhibit similar allele enrichment/depletion patterns whereas inter-continental populations show distinct patterns. Among the 225 SNPs, 15 SNPs cluster in the first intron region of the FTO gene, which is a major gene associated with body-mass index (BMI) and fat mass. African populations exhibit much smaller blocks of LD (linkage disequilibrium) among these15 SNPs while European and Asian populations have larger blocks. To estimate the cumulative effect of all variants associated with obesity, we developed the personal composite genetic risk score for obesity. Our results indicate that the East Asian populations have the lowest averages of the composite risk scores, whereas three European populations have the highest averages. In addition, the population-level average of composite genetic risk scores is significantly correlated (R
conclusionsWe have detected substantial population differentiation in allele frequencies of obesity-associated SNPs. The results will help elucidate the genetic basis which may contribute to population disparities in obesity prevalence.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.