Genetic Variation at the FTO Locus Influences RBL2 Gene Expression
Open accessAbstract
OBJECTIVE: Genome-wide association studies that compare the statistical association between thousands of DNA variations and a human trait have detected 958 loci across 127 different diseases and traits. However, these statistical associations only provide evidence for genomic regions likely to harbor a causal gene(s) and do not directly identify such genes. We combined gene variation and expression data in a human cohort to identify causal genes. RESEARCH DESIGN AND METHODS: Global gene transcription activity was obtained for each individual in a large human cohort (n = 1,240). These quantitative transcript data were tested for correlation with genotype data generated from the same individuals to identify gene expression patterns influenced by the variants. RESULTS: Variant rs8050136 lies within intron 1 of the FTO gene on chromosome 16 and marks a locus strongly associated with type 2 diabetes and obesity and widely replicated across many populations. We report that genetic variation at this locus does not influence FTO gene expression levels (P = 0.38), but is strongly correlated with expression of RBL2 (P = 2.7 x 10(-5)), approximately 270,000 base pairs distant to FTO. CONCLUSIONS: These data suggest that variants at FTO influence RBL2 gene expression at large genetic distances. This observation underscores the complexity of human transcriptional regulation and highlights the utility of large human cohorts in which both genetic variation and global gene expression data are available to identify disease genes. Expedient identification of genes mediating the effects of genome-wide association study-identified loci will enable mechanism-of-action studies and accelerate understanding of human disease processes under genetic influence.
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Regulatory elements can act on downstream target genes located a long distance away and have diverse effects depending on the context in which they are activated, making the specific genes impacted by GWAS SNPs difficult to identify.
“However, regulatory elements can act on downstream target genes located a long distance away and have diverse effects depending on the context in which they are activated [169], making the specific genes impacted by GWAS SNPs difficult to identify.”
From Genetic architecture of Alzheimer's disease (2020) · cites this paper as [169]
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References 35 · Cited by 61
- Authors
- Jowett, J. B. M., Curran, J. E., Johnson, M. P., Carless, M. A., Göring, H. H. H., Dyer, T. D., Cole, S. A., Comuzzie, A. G., MacCluer, J. W., Moses, E. K., & Blangero, J.
- Affiliations
- Baker Heart and Diabetes Institute (AU)
- Texas Biomedical Research Institute (US)
- Corresponding author
- Jowett, Jeremy B.M.
- ORCID
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2009-12-15
- Volume
- 59
- Issue
- 3
- Pages
- 726-732
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- PMC
- PMC2828652
- OpenAlex
- W2122890867
- Cited by
- 61
- References
- 35
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 6 · 2021: 7 · 2020: 5 · 2019: 3 · 2018: 3 · 2017: 6 · 2016: 2 · 2015: 3 · 2014: 3 · 2013: 3 · 2012: 4
- FWCI
- 2.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion, other-oa)
- eSpace (Curtin University) (submittedVersion)
- Funders
- National Institutes of Health (1c06rr013556-01)
- National Heart, Lung, and Blood Institute (HL045222)
- National Institute of Mental Health (MH-059490, R37MH059490, R01MH059490)
- National Center for Research Resources (C06 RR-013556, RR013556)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- FTO, rs8050136, genetic variation, gene expression, type 2 diabetes, obesity, transcriptional regulation, causal gene identification, long-range gene regulation, intronic variants, genome-wide association study loci
- MeSH terms
- Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Chromosomes, Human, Pair 16, Diabetes Mellitus, Type 2, Genotype, Humans, Introns, Genetic Linkage, Obesity, Proteins, Genetic Variation, Mexican Americans, Polymorphism, Single Nucleotide, Retinoblastoma-Like Protein p130, Genome-Wide Association Study
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