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

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 correl...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Science (American Association for the Advancement of Science) Ročník 361; číslo 6404; s. 769
Hlavní autoři: Emilsson, Valur, Ilkov, Marjan, Lamb, John R, Finkel, Nancy, Gudmundsson, Elias F, Pitts, Rebecca, Hoover, Heather, Gudmundsdottir, Valborg, Horman, Shane R, Aspelund, Thor, Shu, Le, Trifonov, Vladimir, Sigurdsson, Sigurdur, Manolescu, Andrei, Zhu, Jun, Olafsson, Örn, Jakobsdottir, Johanna, Lesley, Scott A, To, Jeremy, Zhang, Jia, Harris, Tamara B, Launer, Lenore J, Zhang, Bin, Eiriksdottir, Gudny, Yang, Xia, Orth, Anthony P, Jennings, Lori L, Gudnason, Vilmundur
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 24.08.2018
Témata:
ISSN:1095-9203, 1095-9203
On-line přístup:Zjistit podrobnosti o přístupu
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1095-9203
1095-9203
DOI:10.1126/science.aaq1327