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Genetics of blood lipids among ∼300,000 multi-ethnic participants of the Million Veteran Program
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There are over 300 loci uncovered to be associated with plasma lipid levels in humans.
“There are over 300 loci uncovered to be associated with plasma lipid levels in humans (Klarin et al., 2018; Liu et al., 2017; Teslovich et al., 2010; Willer et al., 2013).”
From GPR146 Deficiency Protects against Hypercholesterolemia and Atherosclerosis (2019) · cites this paper as Klarin et al., 2018
Human genetic studies have unequivocally established GPR146 as a susceptible gene regulating plasma cholesterol levels.
“Human genetic studies have unequivocally established GPR146 as a susceptible gene regulating plasma cholesterol levels.”
From GPR146 Deficiency Protects against Hypercholesterolemia and Atherosclerosis (2019) · cites this paper as Klarin et al., 2018
The Discussion describes genetic loci associated with blood lipids, but the passages do not identify GPR146 as one of them or establish that it regulates plasma cholesterol. Searches for “GPR146” and “G protein-coupled receptor 146” found no passage addressing that gene. (LLM, conf=0.72)
Experimental — accuracy not yet measuredGPR146 is a susceptible gene associated with plasma total cholesterol (TC), LDL-C and HDL-C levels.
“GPR146, a susceptible gene associated with plasma total cholesterol (TC), LDL-C and high density lipoprotein cholesterol (HDL-C) levels”
From GPR146 Deficiency Protects against Hypercholesterolemia and Atherosclerosis (2019) · cites this paper as Klarin et al., 2018
The Results passages on lipid associations discuss other genes, including PDE3B, but do not identify GPR146 as associated with total cholesterol, LDL-C, or HDL-C. Searches for “GPR146” and “GPR146 total cholesterol LDL-C HDL-C” found no passage addressing that gene; page numbers were not available in our copy. (LLM, conf=0.72)
Experimental — accuracy not yet measuredThe alternative allele of rs1997243-G, located 11-kb upstream of GPR146, is associated with increased plasma TC, HDL-C and LDL-C levels in humans.
“The alternative allele of a common variant (rs1997243-G), located 11-kb upstream of GPR146, has been shown to be associated with increased plasma TC, HDL-C and LDL-C levels in humans (Klarin et al., 2018; Liu et al., 2017; Willer et al., 2013)”
From GPR146 Deficiency Protects against Hypercholesterolemia and Atherosclerosis (2019) · cites this paper as Klarin et al., 2018
The Results section on lipid genetic associations discusses other variants, but the passages from our copy do not identify rs1997243-G or GPR146. Searches for both terms and for the claimed upstream location and lipid associations found no passage establishing this specific claim; the other papers cited in the sentence were not assessed. (LLM, conf=0.73)
Experimental — accuracy not yet measuredLoss of function PCSK9 is associated with reduced CVD due to LDLR stabilization.
“Loss of function PCSK9 is associated with reduced CVD due to LDLR stabilization130,131.”
From Pathways and Molecular Mechanisms Governing LDL Receptor Regulation (2025) · cites this paper as [131]
Additional CCDC93 variants have been associated with venous thromboembolism, triglyceride levels, and total cholesterol levels.
“Additional CCDC93 variants have been associated with venous thromboembolism, triglyceride levels, and total cholesterol levels [50–52].”
From Genetic variation in CCDC93 is associated with elevated central systolic blood pressure, impaired arterial relaxation, and mitochondrial dysfunction (2024) · cites this paper as [52]
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Metadata
- Authors
- Global Lipids Genetics Consortium, Klarin, D., Myocardial Infarction Genetics (MIGen) Consortium, The Geisinger-Regeneron DiscovEHR Collaboration, Program, T. V. M. V., Damrauer, S. M., Cho, K., Sun, Y. V., Teslovich, T. M., Honerlaw, J., Gagnon, D. R., DuVall, S. L., Li, J., Peloso, G. M., Chaffin, M., Small, A. M., Huang, J., Tang, H., Lynch, J. A., Ho, Y.-L., Liu, D. J., Emdin, C. A., Li, A. H., Huffman, J. E., Lee, J. S., Natarajan, P., Chowdhury, R., Saleheen, D., Vujkovic, M., Baras, A., Pyarajan, S., Di Angelantonio, E., Neale, B. M., Naheed, A., Khera, A. V., Danesh, J., Chang, K.-M., Abecasis, G., Willer, C., Dewey, F. E., Carey, D. J., Concato, J., Gaziano, J. M., O’Donnell, C. J., Tsao, P. S., Kathiresan, S., Rader, D. J., Wilson, P. W. F., & Assimes, T. L.
- ORCID
- Venue
- Nature Genetics
- Published
- 2018-10-01
- Volume
- 50
- Issue
- 11
- Pages
- 1514-1523
- ISSN
- 1061-4036
- 1546-1718
- PMC
- PMC6521726
- Cited by
- 625
- References
- 22
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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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 ›
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