Identifying Genetic Influences on Protein Levels
Author Information
Author(s): David Melzer, John R. B. Perry, Dena Hernandez, Anna-Maria Corsi, Kara Stevens, Ian Rafferty, Fulvio Lauretani, Anna Murray, J. Raphael Gibbs, Giuseppe Paolisso, Sajjad Rafiq, Javier Simon-Sanchez, Hana Lango, Sonja 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 Bennett, Mark I. McCarthy, Aimo Ruokonen, Marjo-Riitta Jarvelin, Jack Guralnik, Stefania Bandinelli, Timothy M. Frayling, Andrew Singleton, Luigi Ferrucci
Primary Institution: Institute of Biomedical and Clinical Sciences, Peninsula College of Medicine and Dentistry, University of Exeter
Hypothesis
Common genetic variation influences protein levels in a human population.
Conclusion
The study found that common genetic variations significantly affect the levels of clinically relevant proteins in human serum and plasma.
Supporting Evidence
- Eight cis effects were identified, including variants in or near the IL6R gene associated with protein levels.
- One novel trans effect was found linking ABO blood group to TNF-alpha levels.
- Effect sizes for the identified genetic variants ranged from 0.19 to 0.69 standard deviations per allele.
Takeaway
Scientists looked at how our genes affect the amount of proteins in our blood, which can help us understand diseases better.
Methodology
The study used a genome-wide association approach to analyze the relationship between genetic variations and protein levels in serum and plasma from 1200 individuals.
Potential Biases
Potential assay-specific associations were noted, particularly with TNF-alpha measurements.
Limitations
The study may not have detected weaker genetic effects due to stringent statistical thresholds.
Participant Demographics
The study included 1200 European individuals, with a mean age of 68.4 years and 55.2% female.
Statistical Information
P-Value
p<0.00001
Confidence Interval
95% CIs: 0.19 to 0.69
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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