0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessAbstract Serum concentration of hepatic enzymes are linked to liver dysfunction, metabolic and cardiovascular diseases. We perform genetic analysis on serum levels of alanine transaminase (ALT), alkaline phosphatase (ALP) and gamma-glutamyl transferase (GGT) using data on 437,438 UK Biobank participants. Replication in 315,572 individuals from European descent from the Million Veteran Program, Rotterdam Study and Lifeline study confirms 517 liver enzyme SNPs. Genetic risk score analysis using the identified SNPs is strongly associated with serum activity of liver enzymes in two independent European descent studies (The Airwave Health Monitoring study and the Northern Finland Birth Cohort 1966). Gene-set enrichment analysis using the identified SNPs highlights involvement in liver development and function, lipid metabolism, insulin resistance, and vascular formation. Mendelian randomization analysis shows association of liver enzyme variants with coronary heart disease and ischemic stroke. Genetic risk score for elevated serum activity of liver enzymes is associated with higher fat percentage of body, trunk, and liver and body mass index. Our study highlights the role of molecular pathways regulated by the liver in metabolic disorders and cardiovascular disease.
Raha Pazoki, Marijana Vujković, Joshua Elliott, Εvangelos Εvangelou, Dipender Gill, Mohsen Ghanbari, Peter J. van der Most, Rui Pinto, Matthias Wielscher, Matthias Farlik, Verena Zuber, Robert J. de Knegt, Harold Snieder, André G. Uitterlinden, H. Marike Boezen, Lude Franke, Pim van der Harst, Gerjan Navis, Marianne G. Rots, Morris A. Swertz, Bruce H. R. Wolffenbuttel, Cisca Wijmenga, Julie A. Lynch, Xiyun Jiang, Saredo Said, David E. Kaplan, Kyung Min Lee, Marina Serper, Rotonya M. Carr, Philip S. Tsao, Stephen R. Atkinson, Abbas Dehghan, Ioanna Tzoulaki, M. Arfan Ikram, Karl‐Heinz Herzig, Paul M Ridker, Behrooz Z. Alizadeh, Christopher J. O’Donnell, Danish Saleheen, Benjamin F. Voight, Kyong‐Mi Chang, Mark Thursz, Paul Elliott, Zuhair K. Ballas, Sujata Bhushan, Edward J. Boyko, David Cohen, John Concato, Michaela Aslan, Hongyu Zhao, Joseph I. Constans, Louis J. Dell’Italia, Joseph Fayad, Ronald Fernando, Hermes Flórez, Melinda A. Gaddy, Saib Gappy, Gretchen Gibson, Michael Godschalk, Jennifer A. Greco, Samir Gupta, Salvador Gutierrez, Kimberly Hammer, Mark B. Hamner, John B. Harley, Adriana M. Hung, Mostaqul Huq, Robin A. Hurley, Pran Iruvanti, Douglas Ivins, Frank J. Jacono, Darshana Jhala, Laurence S. Kaminsky, Jon B. Klein, Suthat Liangpunsakul, Jack Lichy, Jennifer Moser, Grant D. Huang, Sumitra Muralidhar, Stephen Mastorides, Roy O. Mathew, Kristin Mattocks, Rachel McArdle, Paul N. Meyer, Laurence J. Meyer, Jonathan P. Moorman, Timothy R. Morgan, Maureen Murdoch, Olaoluwa Okusaga, Krisann K. Oursler, Nora Ratcliffe, Michael Rauchman, R. Brooks Robey, George Ross, Richard J. Servatius, Satish Sharma, Scott E. Sherman, Elif Sonel, Peruvemba Sriram, Todd Stapley (2021). Genetic analysis in European ancestry individuals identifies 517 loci associated with liver enzymes. , 12(1), DOI: https://doi.org/10.1038/s41467-021-22338-2.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2021
Authors
100
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1038/s41467-021-22338-2
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
