The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma
Open accessAbstract
Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with concentrations of liver enzymes in plasma, of which 32 are new associations (P = 10−8 to P = 10−190). We used functional genomic approaches including metabonomic profiling and gene expression analyses to identify probable candidate genes at these regions. We identified 69 candidate genes, including genes involved in biliary transport (ATP8B1 and ABCB11), glucose, carbohydrate and lipid metabolism (FADS1, FADS2, GCKR, JMJD1C, HNF1A, MLXIPL, PNPLA3, PPP1R3B, SLC2A2 and TRIB1), glycoprotein biosynthesis and cell surface glycobiology (ABO, ASGR1, FUT2, GPLD1 and ST3GAL4), inflammation and immunity (CD276, CDH6, GCKR, HNF1A, HPR, ITGA1, RORA and STAT4) and glutathione metabolism (GSTT1, GSTT2 and GGT), as well as several genes of uncertain or unknown function (including ABHD12, EFHD1, EFNA1, EPHA2, MICAL3 and ZNF827). Our results provide new insight into genetic mechanisms and pathways influencing markers of liver function.
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Principal components analysis corrects for stratification in genome-wide association studies
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Self-citationAssociation analyses of 249,796 individuals reveal 18 new loci associated with body mass index
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Self-citationGenome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
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A Protein-Truncating HSD17B13 Variant and Protection from Chronic Liver Disease
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Metadata
- Authors
- Alcohol Genome-wide Association (AlcGen) Consortium, Chambers, J. C., Study, D. G. R. A. M.-A. (., Genetic Investigation of Anthropometric Traits (GIANT) Consortium, Global Lipids Genetics Consortium, Genetics of Liver Disease (GOLD) Consortium, International Consortium for Blood Pressure (ICBP-GWAS), Meta-analyses of Glucose and Insulin-Related Traits Consortium (MAGIC), Zhang, W., Sehmi, J., Li, X., Wass, M. N., Van der Harst, P., Holm, H., Sanna, S., Kavousi, M., Baumeister, S. E., Coin, L. J., Deng, G., Gieger, C., Heard-Costa, N. L., Hottenga, J.-J., Kühnel, B., Kumar, V., Lagou, V., Liang, L., Luan, J., Vidal, P. M., Leach, I. M., O'Reilly, P. F., Peden, J. F., Rahmioglu, N., Soininen, P., Speliotes, E. K., Yuan, X., Thorleifsson, G., Alizadeh, B. Z., Atwood, L. D., Borecki, I. B., Brown, M. J., Charoen, P., Cucca, F., Das, D., de Geus, E. J. C., Dixon, A. L., Döring, A., Ehret, G., Eyjolfsson, G. I., Farrall, M., Forouhi, N. G., Friedrich, N., Goessling, W., Gudbjartsson, D. F., Harris, T. B., Hartikainen, A.-L., Heath, S., Hirschfield, G. M., Hofman, A., Homuth, G., Hyppönen, E., Janssen, H. L. A., Johnson, T., Kangas, A. J., Kema, I. P., Kühn, J. P., Lai, S., Lathrop, M., Lerch, M. M., Li, Y., Liang, T. J., Lin, J.-P., Loos, R. J. F., Martin, N. G., Moffatt, M. F., Montgomery, G. W., Munroe, P. B., Musunuru, K., Nakamura, Y., O'Donnell, C. J., Olafsson, I., Penninx, B. W., Pouta, A., Prins, B. P., Prokopenko, I., Puls, R., Ruokonen, A., Savolainen, M. J., Schlessinger, D., Schouten, J. N. L., Seedorf, U., Sen-Chowdhry, S., Siminovitch, K. A., Smit, J. H., Spector, T. D., Tan, W., Teslovich, T. M., Tukiainen, T., Uitterlinden, A. G., Van der Klauw, M. M., Vasan, R. S., Wallace, C., Wallaschofski, H., Wichmann, H.-E., Willemsen, G., Würtz, P., Xu, C., Yerges-Armstrong, L. M., Abecasis, G. R., Ahmadi, K. R., Boomsma, D. I., Caulfield, M., Cookson, W. O., van Duijn, C. M., Froguel, P., Matsuda, K., McCarthy, M. I., Meisinger, C., Mooser, V., Pietiläinen, K. H., Schumann, G., Snieder, H., Sternberg, M. J. E., Stolk, R. P., Thomas, H. C., Thorsteinsdottir, U., Uda, M., Waeber, G., Wareham, N. J., Waterworth, D. M., Watkins, H., Whitfield, J. B., Witteman, J. C. M., Wolffenbuttel, B. H. R., Fox, C. S., Ala-Korpela, M., Stefansson, K., Vollenweider, P., Völzke, H., Schadt, E. E., Scott, J., Järvelin, M.-R., Elliott, P., & Kooner, J. S.
- Venue
- Nature Genetics
- Published
- 2011-10-16
- Volume
- 43
- Issue
- 11
- Pages
- 1131-1138
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2143286837
- Cited by
- 564
- References
- 74
- FWCI
- 22.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Alcohol Genome-wide Association (AlcGen) Consortium, Chambers, J. C., Study, D. G. R. A. M.-A. (., Genetic Investigation of Anthropometric Traits (GIANT) Consortium, Global Lipids Genetics Consortium, Genetics of Liver Disease (GOLD) Consortium, International Consortium for Blood Pressure (ICBP-GWAS), Meta-analyses of Glucose and Insulin-Related Traits Consortium (MAGIC), Zhang, W., Sehmi, J., Li, X., Wass, M. N., Van der Harst, P., Holm, H., Sanna, S., Kavousi, M., Baumeister, S. E., Coin, L. J., Deng, G., . . . Kooner, J. S. (2011). Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma. Nature Genetics. https://doi.org/10.1038/ng.970
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