TY - JOUR
T1 - Plasma proteome variation and its genetic determinants in children and adolescents
AU - Niu, Lili
AU - Stinson, Sara Elizabeth
AU - Holm, Louise Aas
AU - Lund, Morten Asp Vonsild
AU - Fonvig, Cilius Esmann
AU - Cobuccio, Leonardo
AU - Meisner, Jonas
AU - Juel, Helene Bæk
AU - Fadista, Joao
AU - Thiele, Maja
AU - Krag, Aleksander
AU - Holm, Jens Christian
AU - Rasmussen, Simon
AU - Hansen, Torben
AU - Mann, Matthias
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025
Y1 - 2025
N2 - Our current understanding of the determinants of plasma proteome variation during pediatric development remains incomplete. Here, we show that genetic variants, age, sex and body mass index significantly influence this variation. Using a streamlined and highly quantitative mass spectrometry-based proteomics workflow, we analyzed plasma from 2,147 children and adolescents, identifying 1,216 proteins after quality control. Notably, the levels of 70% of these were associated with at least one of the aforementioned factors, with protein levels also being predictive. Quantitative trait loci (QTLs) regulated at least one-third of the proteins; between a few percent and up to 30-fold. Together with excellent replication in an additional 1,000 children and 558 adults, this reveals substantial genetic effects on plasma protein levels, persisting from childhood into adulthood. Through Mendelian randomization and colocalization analyses, we identified 41 causal genes for 33 cardiometabolic traits, emphasizing the value of protein QTLs in drug target identification and disease understanding.
AB - Our current understanding of the determinants of plasma proteome variation during pediatric development remains incomplete. Here, we show that genetic variants, age, sex and body mass index significantly influence this variation. Using a streamlined and highly quantitative mass spectrometry-based proteomics workflow, we analyzed plasma from 2,147 children and adolescents, identifying 1,216 proteins after quality control. Notably, the levels of 70% of these were associated with at least one of the aforementioned factors, with protein levels also being predictive. Quantitative trait loci (QTLs) regulated at least one-third of the proteins; between a few percent and up to 30-fold. Together with excellent replication in an additional 1,000 children and 558 adults, this reveals substantial genetic effects on plasma protein levels, persisting from childhood into adulthood. Through Mendelian randomization and colocalization analyses, we identified 41 causal genes for 33 cardiometabolic traits, emphasizing the value of protein QTLs in drug target identification and disease understanding.
U2 - 10.1038/s41588-025-02089-2
DO - 10.1038/s41588-025-02089-2
M3 - Journal article
C2 - 39972214
AN - SCOPUS:85218135166
SN - 1061-4036
JO - Nature Genetics
JF - Nature Genetics
M1 - e2000038
ER -