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GWAS Study

A genome-wide association study of mass spectrometry proteomics using a nanoparticle enrichment platform.

Suhre K, Chen Q, Halama A et al.

41310232 PubMed ID
GWAS Study Type
1580 Participants
172 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SK
Suhre K
CQ
Chen Q
HA
Halama A
MK
Mendez K
DA
Dahlin A
SN
Stephan N
TG
Thareja G
SH
Sarwath H
GH
Guturu H
DV
Dwaraka VB
SR
Smith R
BS
Batzoglou S
SF
Schmidt F
LJ
Lasky-Su JA
Chapter II

Abstract

Summary of the research findings

Most studies to date of protein quantitative trait loci (pQTLs) have relied on affinity proteomics platforms, which provide only limited information about the targeted protein isoforms and may be affected by genetic variation in their epitope binding. Here we show that mass spectrometry (MS)-based proteomics can complement these studies and provide insights into the role of specific protein isoform and epitope-altering variants. Using the Seer Proteograph nanoparticle enrichment MS platform, we identified and replicated new pQTLs in a genome-wide association study of proteins in blood plasma samples from two cohorts and evaluated previously reported pQTLs from affinity proteomics platforms. We found that >30% of the evaluated pQTLs were confirmed by MS proteomics to be consistent with the hypothesis that genetic variants induce changes in protein abundance, whereas another 30% could not be replicated and are possibly due to epitope effects, although alternative explanations for nonreplication need to be considered on a case-by-case basis.

1,255 European, Hispanic or African ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

1580
Total Participants
GWAS
Study Type
Yes
Replicated
325 Arab, Indian or Filipino ancestry individuals
Replication Participants
Hispanic or Latin American, European, African American or Afro-Caribbean, Other, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian)
Ancestry
U.S.
Recruitment Country
Chapter IV

AI-Generated Summary

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