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Exome-wide association study of plasma lipids in >300,000 individuals
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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 Liu et al., 2017
The paper reports loci associated with plasma lipid levels in humans, but its Abstract gives 250 loci—75 novel and 175 previously implicated—not over 300. It therefore supports the existence of lipid-associated loci but does not establish the cited sentence’s numerical threshold. (LLM, conf=0.87)
Experimental — accuracy not yet measuredThe T allele of rs10490626 has been reported to be associated with reduced plasma LDL-c levels.
“The T allele is found in $9% of non-Finnish Europeans (http://gnomad.broadinstitute.org)and has been reported to be associated with reduced plasma LDL-c levels.9,10”
From A common variant in CCDC93 protects against myocardial infarction and cardiovascular mortality by regulating endosomal trafficking of low-density lipoprotein receptor (2020) · cites this paper as [10]
The passages on LDL-C–lowering variants discuss other named variants, but do not identify rs10490626 or its T allele. Searches for the rsID and for its purported association with lower LDL-C found no passage in our copy that verifies the allele-specific claim; the frequency statement is attributed to gnomAD, not this paper. (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 Liu et al., 2017
The paper’s Abstract reports variants associated with TC, LDL-C and HDL-C, but the passages retrieved from our copy do not identify GPR146 as an associated gene. Searches for “GPR146” and “G protein-coupled receptor 146” did not find a passage addressing the claimed associations. (LLM, conf=0.70)
Experimental — accuracy not yet measuredHuman 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 Liu et al., 2017
The Abstract reports human genetic associations with plasma lipids, but the passages retrieved do not identify GPR146 or establish its role in regulating cholesterol. Searches for “GPR146” and “G protein-coupled receptor 146 cholesterol genetic association” found no passage addressing that gene. (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 Liu et al., 2017
The paper’s Abstract reports associations between genetic variants and plasma lipids, but the passages from our copy do not identify rs1997243 or GPR146. Searches for both terms found no passage establishing the variant’s location, allele direction, or association with increased TC, HDL-C, and LDL-C; pages are not provided in our copy. (LLM, conf=0.74)
Experimental — accuracy not yet measured
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Metadata
- Authors
- Charge Diabetes Working Group, Liu, D. J., The EPIC-InterAct Consortium, EPIC-CVD Consortium, GOLD Consortium, Program, V. M. V., Peloso, G. M., Yu, H., Butterworth, A. S., Wang, X., Mahajan, A., Saleheen, D., Emdin, C., Alam, D., Alves, A. C., Amouyel, P., Di Angelantonio, E., Arveiler, D., Assimes, T. L., Auer, P. L., Baber, U., Ballantyne, C. M., Bang, L. E., Benn, M., Bis, J. C., Boehnke, M., Boerwinkle, E., Bork-Jensen, J., Bottinger, E. P., Brandslund, I., Brown, M., Busonero, F., Caulfield, M. J., Chambers, J. C., Chasman, D. I., Chen, Y. E., Chen, Y.-D. I., Chowdhury, R., Christensen, C., Chu, A. Y., Connell, J. M., Cucca, F., Cupples, L. A., Damrauer, S. M., Davies, G., Deary, I. J., Dedoussis, G., Denny, J. C., Dominiczak, A., Dubé, M.-P., Ebeling, T., Eiriksdottir, G., Esko, T., Farmaki, A.-E., Feitosa, M. F., Ferrario, M., Ferrieres, J., Ford, I., Fornage, M., Franks, P. W., Frayling, T. M., Frikke-Schmidt, R., Fritsche, L. G., Frossard, P., Fuster, V., Ganesh, S. K., Gao, W., Garcia, M. E., Gieger, C., Giulianini, F., Goodarzi, M. O., Grallert, H., Grarup, N., Groop, L., Grove, M. L., Gudnason, V., Hansen, T., Harris, T. B., Hayward, C., Hirschhorn, J. N., Holmen, O. L., Huffman, J., Huo, Y., Hveem, K., Jabeen, S., Jackson, A. U., Jakobsdottir, J., Jarvelin, M.-R., Jensen, G. B., Jørgensen, M. E., Jukema, J. W., Justesen, J. M., Kamstrup, P. R., Kanoni, S., Karpe, F., Kee, F., Khera, A. V., Klarin, D., Koistinen, H. A., Kooner, J. S., Kooperberg, C., Kuulasmaa, K., Kuusisto, J., Laakso, M., Lakka, T., Langenberg, C., Langsted, A., Launer, L. J., Lauritzen, T., Liewald, D. C. M., Lin, L. A., Linneberg, A., Loos, R. J. F., Lu, Y., Lu, X., Mägi, R., Malarstig, A., Manichaikul, A., Manning, A. K., Mäntyselkä, P., Marouli, E., Masca, N. G. D., Maschio, A., Meigs, J. B., Melander, O., Metspalu, A., Morris, A. P., Morrison, A. C., Mulas, A., Müller-Nurasyid, M., Munroe, P. B., Neville, M. J., Nielsen, J. B., Nielsen, S. F., Nordestgaard, B. G., Ordovas, J. M., Mehran, R., O'Donnell, C. J., Orho-Melander, M., Molony, C. M., Muntendam, P., Padmanabhan, S., Palmer, C. N. A., Pasko, D., Patel, A. P., Pedersen, O., Perola, M., Peters, A., Pisinger, C., Pistis, G., Polasek, O., Poulter, N., Psaty, B. M., Rader, D. J., Rasheed, A., Rauramaa, R., Reilly, D. F., Reiner, A. P., Renström, F., Rich, S. S., Ridker, P. M., Rioux, J. D., Robertson, N. R., Roden, D. M., Rotter, J. I., Rudan, I., Salomaa, V., Samani, N. J., Sanna, S., Sattar, N., Schmidt, E. M., Scott, R. A., Sever, P., Sevilla, R. S., Shaffer, C. M., Sim, X., Sivapalaratnam, S., Small, K. S., Smith, A. V., Smith, B. H., Somayajula, S., Southam, L., Spector, T. D., Speliotes, E. K., Starr, J. M., Stirrups, K. E., Stitziel, N., Strauch, K., Stringham, H. M., Surendran, P., Tada, H., Tall, A. R., Tang, H., Tardif, J.-C., Taylor, K. D., Trompet, S., Tsao, P. S., Tuomilehto, J., Tybjaerg-Hansen, A., van Zuydam, N. R., Varbo, A., Varga, T. V., Virtamo, J., Waldenberger, M., Wang, N., Wareham, N. J., Warren, H. R., Weeke, P. E., Weinstock, J., Wessel, J., Wilson, J. G., Wilson, P. W. F., Xu, M., Yaghootkar, H., Young, R., Zeggini, E., Zhang, H., Zheng, N. S., Zhang, W., Zhang, Y., Zhou, W., Zhou, Y., Zoledziewska, M., Howson, J. M. M., Danesh, J., McCarthy, M. I., Cowan, C. A., Abecasis, G., Deloukas, P., Musunuru, K., Willer, C. J., & Kathiresan, S.
- Venue
- Nature Genetics
- Published
- 2017-10-30
- Volume
- 49
- Issue
- 12
- Pages
- 1758-1766
- ISSN
- 1061-4036
- 1546-1718
- PMC
- PMC5709146
- Cited by
- 540
- References
- 13
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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 ›
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