A Genome-Wide Association Study Identifies Protein Quantitative Trait Loci (pQTLs)

David Melzer, John R. B. Perry, Dena Hernández, A Corsi, Kara Stevens, Ian Rafferty, Fulvio Lauretani, Anna Murray, J. Raphael Gibbs, Giuseppe Paolisso, Sajjad Rafiq, Javier Simón‐Sánchez, Hana Lango Allen, Sonja W. Scholz, Michael N. Weedon, Sampath Arepalli, Neil Rice, Nicole Washecka, Alison Hurst, Angela Britton, William Henley, Joyce van de Leemput, Rongling Li, Anne B. Newman, Greg Tranah, Tamara Harris, Vijay Panicker, Colin Dayan, Amanda J. Bennett, Mark I. McCarthy, Aimo Ruokonen, Marjo‐Riitta Järvelin, Jack M. Guralnik, Stefania Bandinelli, Timothy M. Frayling, Andrew Singleton, Luigi Ferrucci

PLoS Genetics, 2008

University of Exeter, Peninsula College of Medicine and Dentistry, National Institute on Aging, Agenzia Regionale di Sanità della Toscana, University of Florence, University of Campania "Luigi Vanvitelli", University of Naples Federico II, University of Plymouth, University of Tennessee Health Science Center, University of Pittsburgh, California Pacific Medical Center, University of Bristol, Oxford Centre for Diabetes, Endocrinology and Metabolism, Centre for Human Genetics, University of Oulu, Imperial College London, Azienda Sanitaria di Firenze

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Abstract

This research paper explore the methodology and findings associated with PLoS Genetics. The study delves into the core aspects of the research field, providing significant data and citation impact. (Full abstract processing is available via the OpenAlex API).

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A Genome-Wide Association Study Identifies Protein Quantitative Trait Loci (pQTLs)

Abstract

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