The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.
Plasma lipoproteins: genetic influences and clinical implications
Abstract
Susceptibility to the growing global public health problem of cardiovascular disease is associated with levels of plasma lipids and lipoproteins. Several experimental strategies have helped us to clarify the genetic architecture of these complex traits, including classical studies of monogenic dyslipidaemias, resequencing, phenomic analysis and, more recently, genome-wide association studies and analysis of metabolic networks. The genetic basis of plasma lipoprotein levels can now be modelled as a mosaic of contributions from multiple DNA sequence variants, both rare and common, with varying effect sizes. In addition to filling gaps in our understanding of plasma lipoprotein metabolism, the recent genetic advances will improve our ability to classify, diagnose and treat dyslipidaemias.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“elevated plasma LDL-C and TG levels are major risk factors (Defesche et al., 2017; Do et al., 2013; Hegele, 2009; Hokanson and Austin, 1996; Rader, 2016)”
From GPR146 Deficiency Protects against Hypercholesterolemia and Atherosclerosis (2019) · cites this paper as Hegele, 2009
In the citing paper
“In humans and mice, genetic APOB variants associated with increased levels of apoB are also associated with unusually high plasma concentrations of cholesterol and LDL, which in turn contribute to hypercholesterolemia and heart disease in humans (Benn, 2009; Hegele, 2009).”
From Population genomics reveal recent speciation and rapid evolutionary adaptation in polar bears (2014) · cites this paper as Hegele, 2009
Citations
Cites
A Receptor-Mediated Pathway for Cholesterol Homeostasis
Brown, M. S., & Goldstein, J. L. (1986) · Science · doi:10.1126/science.3513311 · Cited by 5,703
Lusis, A. J. (2000) · Nature · doi:10.1038/35025203 · Cited by 4,880
A second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438
Global variation in copy number in the human genome
Redon, R., Ishikawa, S., Fitch, K. R., Feuk, L., Perry, G. H., Andrews, T. D., Fiegler, H., Shapero, M. H., Carson, A. R., Chen, W., et al. (2006) · Nature · doi:10.1038/nature05329 · Cited by 4,377
Sequence Variations in PCSK9, Low LDL, and Protection against Coronary Heart Disease
Cohen, J. C., Boerwinkle, E., Mosley, T. H., & Hobbs, H. H. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa054013 · Cited by 3,181
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843
Nordestgaard, B. G., Benn, M., Schnohr, P., & Tybjærg-Hansen, A. (2007) · JAMA · doi:10.1001/jama.298.3.299 · Cited by 2,058
Niemann-Pick C1 Like 1 Protein Is Critical for Intestinal Cholesterol Absorption
Altmann, S. W., Davis, H. R., Zhu, L.-J., Yao, X., Hoos, L. M., Tetzloff, G. G., Iyer, S. P. N., Maguire, M., Golovko, A., Zeng, M., et al. (2004) · Science · doi:10.1126/science.1093131 · Cited by 1,818
Mutations in ABC1 in Tangier disease and familial high-density lipoprotein deficiency
Brooks-Wilson, A., Marcil, M., Clee, S. M., Zhang, L.-H., Roomp, K., van Dam, M., Yu, L., Brewer, C., Collins, J. A., Molhuizen, H. O. F., et al. (1999) · Nature Genetics · doi:10.1038/11905 · Cited by 1,687
Cited by
Sorted by citations
Pierce, B. L., Ahsan, H., & VanderWeele, T. J. (2010) · International Journal of Epidemiology · doi:10.1093/ije/dyq151 · Cited by 1,848
Chapman, M. J., Ginsberg, H. N., Amarenco, P., Andreotti, F., Borén, J., Catapano, A. L., Descamps, O. S., Fisher, E., Kovanen, P. T., Kuivenhoven, J. A., et al. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehr112 · Cited by 1,227
Richardson, T. G., Sanderson, E., Palmer, T. M., Ala-Korpela, M., Ference, B. A., Davey Smith, G., & Holmes, M. V. (2020) · PLOS Medicine · doi:10.1371/journal.pmed.1003062 · Cited by 843
Hegele, R. A., Ginsberg, H. N., Chapman, M. J., Nordestgaard, B. G., Kuivenhoven, J. A., Averna, M., Borén, J., Bruckert, E., Catapano, A. L., Descamps, O. S., et al. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70191-8 · Cited by 635
Self-citationFamilial hypercholesterolaemia
Defesche, J. C., Gidding, S. S., Harada-Shiba, M., Hegele, R. A., Santos, R. D., & Wierzbicki, A. S. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.93 · Cited by 453
Self-citation
Metadata
- Authors
- Hegele, R. A.
- Affiliations
- Western University (CA)
- Corresponding author
- Hegele, Robert A.
- ORCID
- Hegele, Robert A.
- Venue
- Nature Reviews Genetics
- Published
- 2009-02
- Volume
- 10
- Issue
- 2
- Pages
- 109-121
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2068700927
- Cited by
- 462
- References
- 107
- Citations by year
- 2026: 10 · 2025: 11 · 2024: 19 · 2023: 21 · 2022: 32 · 2021: 22 · 2020: 24 · 2019: 19 · 2018: 27 · 2017: 19 · 2016: 31 · 2015: 33 · 2014: 36 · 2013: 26 · 2012: 31
- FWCI
- 7.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- Scholarship@Western (Western University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
- Keywords
- serum lipoproteins, plasma lipids, genetic architecture, cardiovascular risk, dyslipidemia, genome-wide association study, rare variants, lipid metabolism, metabolic networks, phenomics, resequencing, disease diagnosis and treatment
- MeSH terms
- Animals, Cholesterol, Humans, Hyperlipoproteinemias, Lipoproteins, Models, Biological, Triglycerides, Genomics, Dyslipidemias
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
