The DOI matches its Crossref record; 29 of the 31 references it cites were found in a registry or an index.
Physical Activity and the Association of Common FTO Gene Variants With Body Mass Index and Obesity
Open accessAbstract
BACKGROUND: Common FTO (fat mass and obesity associated) gene variants have recently been associated with body mass index (BMI) and obesity in several large studies. The role of lifestyle factors (such as physical activity) in those with an underlying FTO genetic predisposition is unknown. METHODS: To determine if FTO variants are associated with BMI in Old Order Amish (OOA) individuals, and to further determine whether the detrimental associations of FTO gene variants can be lessened by increased physical activity, a total of 704 healthy OOA adults were selected from the Heredity and Phenotype Intervention (HAPI) Heart Study, an investigation of gene x environment interactions in cardiovascular disease, for whom objective quantified physical activity measurements were available and for whom 92 single-nucleotide polymorphisms (SNPs) in FTO were genotyped. RESULTS: Twenty-six FTO SNPs were associated with BMI (P = .04 to <.001), including rs1477196 (P < .001) and rs1861868 (P < .001), 2 SNPs in moderate linkage disequilibrium in the OOA (D' = 0.82; r(2) = 0.36). Stratified analyses of rs1861868 revealed its association with BMI to be restricted entirely to those subjects with low sex- and age-adjusted physical activity scores (P < .001); in contrast, the SNP had no effect on those with above-average physical activity scores (P = .29), with the genotype x physical activity interaction achieving statistical significance (P = .01). Similar evidence for interaction was also obtained for rs1477196. CONCLUSIONS: Our results strongly suggest that the increased risk of obesity owing to genetic susceptibility by FTO variants can be blunted through physical activity. These findings emphasize the important role of physical activity in public health efforts to combat obesity, particularly in genetically susceptible individuals.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234
Haploview: analysis and visualization of LD and haplotype maps
Barrett, J. C., Fry, B., Maller, J., & Daly, M. J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth457 · Cited by 14,563
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Validation of the Insomnia Severity Index as an outcome measure for insomnia research
Bastien, C. (2001) · Sleep Medicine · doi:10.1016/s1389-9457(00)00065-4 · Cited by 8,067
Frayling, T. M., Timpson, N. J., Weedon, M. N., Zeggini, E., Freathy, R. M., Lindgren, C. M., Perry, J. R. B., Elliott, K. S., Lango, H., Rayner, N. W., et al. (2007) · Science · doi:10.1126/science.1141634 · Cited by 4,531
Multipoint Quantitative-Trait Linkage Analysis in General Pedigrees
Almasy, L. A., & Blangero, J. (1998) · The American Journal of Human Genetics · doi:10.1086/301844 · Cited by 3,021
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194
Fletcher, G. F., Balady, G. J., Amsterdam, E. A., Chaitman, B., Eckel, R., Fleg, J., Froelicher, V. F., Leon, A. S., Piña, I. L., Rodney, R., et al. (2001) · Circulation · doi:10.1161/hc3901.095960 · Cited by 1,923
Score Tests for Association between Traits and Haplotypes when Linkage Phase Is Ambiguous
Schaid, D. J., Rowland, C. M., Tines, D. E., Jacobson, R. M., & Poland, G. A. (2002) · The American Journal of Human Genetics · doi:10.1086/338688 · Cited by 1,777
Cited by
Sorted by citations
Lack of Exercise Is a Major Cause of Chronic Diseases
Booth, F. W., Roberts, C. K., & Laye, M. J. (2012) · Comprehensive Physiology · doi:10.1002/cphy.c110025 · Cited by 2,575
Caspi, A., Hariri, A. R., Holmes, A., Uher, R., & Moffitt, T. E. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09101452 · Cited by 1,346
The bigger picture of FTO—the first GWAS-identified obesity gene
Loos, R. J. F., & Yeo, G. S. H. (2013) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2013.227 · Cited by 754
Sugar-Sweetened Beverages and Genetic Risk of Obesity
Qi, Q., Chu, A. Y., Kang, J., Jensen, M. K., Curhan, G. C., Pasquale, L. R., Ridker, P. M., Hunter, D. J., Willett, W. C., Rimm, E. B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1203039 · Cited by 609
Kilpeläinen, T. O., Qi, L., Brage, S., Sharp, S. J., Sonestedt, E., Demerath, E. W., Ahmad, T., Mora, S., Kaakinen, M., Sandholt, C. H., et al. (2011) · PLoS Medicine · doi:10.1371/journal.pmed.1001116 · Cited by 589
Self-citation
Metadata
- Authors
- Rampersaud, E., Mitchell, B. D., Pollin, T. I., Fu, M., Shen, H., O’Connell, J. R., Ducharme, J. L., Hines, S., Sack, P., Naglieri, R., Shuldiner, A. R., & Snitker, S.
- Affiliations
- University of Maryland, Baltimore (US)
- ORCID
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2008-09-08
- Volume
- 168
- Issue
- 16
- Pages
- 1791
- ISSN
- 0003-9926 (ISSN-L)
- PMC
- PMC3635949
- OpenAlex
- W2010505352
- Cited by
- 299
- References
- 31
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 11 · 2023: 7 · 2022: 8 · 2021: 9 · 2020: 14 · 2019: 6 · 2018: 7 · 2017: 15 · 2016: 23 · 2015: 12 · 2014: 13 · 2013: 24 · 2012: 30
- FWCI
- 20.90
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Archives of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (T32HL072751, U01HL072515)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK072488)
- National Center for Research Resources (M01RR016500, M01RR000052, M01RR 16500)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Physical Performance
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Keywords
- FTO, fat mass and obesity-associated gene, single nucleotide polymorphisms, body mass index, obesity, physical activity, gene-environment interaction, genetic susceptibility, Old Order Amish, linkage disequilibrium, cardiovascular disease
- MeSH terms
- Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Adult, Female, Genotype, Humans, Male, Middle Aged, Motor Activity, Obesity, Proteins, Risk Factors, Body Mass Index, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
