Co-regulatory networks of human serum proteins link genetics to disease

Valur Emilsson(University of Iceland), Marjan Ilkov(Icelandic Heart Association), John R. Lamb(Genomics Institute of the Novartis Research Foundation), Nancy Finkel, Elías F. Guðmundsson(Icelandic Heart Association), Rebecca Pitts, Heather Hoover, Valborg Guðmundsdóttir(Icelandic Heart Association), Shane R. Horman(Genomics Institute of the Novartis Research Foundation), Thor Aspelund(University of Iceland), Le Shu(University of California, Los Angeles), Vladimir Trifonov(Genomics Institute of the Novartis Research Foundation), Sigurður Sigurðsson(Icelandic Heart Association), Andrei Manolescu(Reykjavík University), Jun Zhu(Icahn School of Medicine at Mount Sinai), Ö Ólafsson(Icelandic Heart Association), Jóhanna Jakobsdóttir(Icelandic Heart Association), Scott A. Lesley(Genomics Institute of the Novartis Research Foundation), Jeremy To(Genomics Institute of the Novartis Research Foundation), Jia Zhang(Genomics Institute of the Novartis Research Foundation), Tamara B. Harris(National Institute on Aging), Lenore J. Launer(National Institute on Aging), Bin Zhang(Icahn School of Medicine at Mount Sinai), Guðný Eiríksdóttir(Icelandic Heart Association), Xia Yang(University of California, Los Angeles), Anthony P. Orth(Genomics Institute of the Novartis Research Foundation), Lori L. Jennings, Vilmundur Guðnason(University of Iceland)
Science
August 2, 2018
Cited by 720Open Access
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Abstract

Proteins circulating in the blood are critical for age-related disease processes; however, the serum proteome has remained largely unexplored. To this end, 4137 proteins covering most predicted extracellular proteins were measured in the serum of 5457 Icelanders over 65 years of age. Pairwise correlation between proteins as they varied across individuals revealed 27 different network modules of serum proteins, many of which were associated with cardiovascular and metabolic disease states, as well as overall survival. The protein modules were controlled by cis- and trans-acting genetic variants, which in many cases were also associated with complex disease. This revealed co-regulated groups of circulating proteins that incorporated regulatory control between tissues and demonstrated close relationships to past, current, and future disease states.


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