The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Genetic control of the circulating concentration of transforming growth factor type beta1
Abstract
The concentration of transforming growth factor beta (TGF-beta) in plasma has been correlated with the development of several diseases, including atherosclerosis and certain forms of cancer. However, the mechanisms that control the concentration of TGF-beta in plasma are poorly understood. In a study of 170 pairs of female twins (average age 57.7 years) we show that the concentration of active plus acid-activatable latent TGF-beta1 [(a+l) TGF-beta therefore is predominantly under genetic control (heritability estimate 0.54). Single strand conformation polymorphism (SSCP) mapping of the TGF-beta1 gene promoter has identified two single base substitution polymorphisms. The two polymorphisms (G-->A at position -800 bp and C-->T at position -509 bp) are in linkage disequilibrium (correlation coefficient Delta = 0.215, P < 0.01). The C-509T polymorphism is significantly associated with the plasma concentration of (a+l) TGF-beta1, explaining 8.2% of the additive genetic variance of (a+l) TGF-beta1 concentration. It is therefore possible that predisposition to atherosclerosis, bone diseases or various forms of cancer may be correlated with the presence of particular alleles at the TGFB1 locus.
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
Methodology for Genetic Studies of Twins and Families
Neale, M. C., & Cardon, L. R. (1992) · doi:10.1007/978-94-015-8018-2 · Cited by 4,005 · cited 1×
“Model fitting has major advantages over the classic twin methodology (32, 33 ), allowing more extensive separation of the observed phenotypic variance into additive ( VA) and dominant (VD) genetic components as well as shared ( VC) and unique (VE) environmental components.”
BackgroundArteaga, C. L., Hurd, S. D., Winnier, A. R., Johnson, M. D., Fendly, B. M., & Forbes, J. T. (1993) · Journal of Clinical Investigation · doi:10.1172/jci116871 · Cited by 359
Cited by
Carnitine—metabolism and functions
Bremer, J. (1983) · Physiological Reviews · doi:10.1152/physrev.1983.63.4.1420 · Cited by 1,666
Protection from obesity and diabetes by blockade of TGF-β/smad3 signaling
Yadav, H., Quijano, C., Kamaraju, A. K., Gavrilova, O., Malek, R., Chen, W., Zerfas, P., Zhigang, D., Wright, E. C., Stuelten, C., et al. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.04.013 · Cited by 709
Transforming Growth Factor-β1 to the Bone
Janssens, K., ten Dijke, P., Janssens, S., & Van Hul, W. (2005) · Endocrine Reviews · doi:10.1210/er.2004-0001 · Cited by 710
Cytokines and their relationship to the symptoms and outcome of cancer
Seruga, B., Zhang, H., Bernstein, L. J., & Tannock, I. F. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2507 · Cited by 652
Cytokine and cytokine receptor gene polymorphisms and their functionality
Smith, A. J. P., & Humphries, S. E. (2009) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2008.11.006 · Cited by 374
Metadata
- Authors
- Grainger, D.
- Venue
- Human Molecular Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-01-01
- Volume
- 8
- Issue
- 1
- Pages
- 93-97
- ISSN
- 0964-6906 (ISSN-L)
- 1460-2083
- OpenAlex
- W2126352920
- Cited by
- 755
- References
- 2
- FWCI
- 10.47
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Genetic control of the circulating concentration of transforming growth factor type beta1. https://app.cochat.ai/papers/10.1093/hmg/8.1.93
- The paper
- Grainger, D. (1999). Genetic control of the circulating concentration of transforming growth factor type beta1. Human Molecular Genetics. https://doi.org/10.1093/hmg/8.1.93
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.