Evidence map›Paper›PMID 40172053›Full record

ArticleClinical chemistry2025

Correlations Within and Between Highly Multiplexed Proteomic Assays of Human Plasma.

Mary R Rooney, Jingsha Chen, Christie M Ballantyne, Ron C Hoogeveen, Eric Boerwinkle, Bing Yu, Keenan A Walker, Pascal Schlosser, Elizabeth Selvin, Nilanjan Chatterjee and 3 more

Abstract read
In one paragraph

Article in Clinical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Mary R RooneyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-5607-4848
Jingsha ChenDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Christie M BallantyneDepartment of Medicine, Baylor College of Medicine, Houston, TX, United States.
Ron C HoogeveenDepartment of Medicine, Baylor College of Medicine, Houston, TX, United States.ORCID 0000-0003-2399-4653
Eric BoerwinkleDepartment of Epidemiology, University of Texas Health Science Center, Houston, TX, United States.
Bing YuDepartment of Epidemiology, University of Texas Health Science Center, Houston, TX, United States.
Keenan A WalkerLaboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, United States.ORCID 0000-0002-5989-9853
Pascal SchlosserDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-8460-0462
Elizabeth SelvinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-3539-2070
Nilanjan ChatterjeeDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
David CouperDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-4313-9235
Morgan E GramsDivision of Precision Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Josef CoreshDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID 0000-0002-4598-0669

Funding

THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
Mapping the Progression to HFpEF in the Elderly through Longitudinal Changes in Cardiac FunctionR01HL135008 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI Amil M Shah · 2017 to 2026
$11.5M
Multi-Omics and Chronic Kidney Disease: Correlation with HistologyR01DK108803 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams, EUGENE P. RHEE · 2016 to 2026
$6.4M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2022 to 2025
$5.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E · 2022 to 2025
$5.0M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2022 to 2025
$4.7M
Proteomic signatures to identifypathways underlying the progression toheart failureR01HL148218 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI SHAH, AMIL M, YU, BING · 2020 to 2023
$3.4M
Robust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk PredictionR01HG010480 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI CHATTERJEE, NILANJAN · 2019 to 2023
$2.8M
Multifactoral breast cancer risk prediction accounting for ethnic and tumor diversityU01CA249866 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHATTERJEE, NILANJAN · 2020 to 2023
$2.3M
Statistical Methods for Data Integration and Applications to Genome-wide Association StudiesR01HG013137 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI Nilanjan Chatterjee · 2024 to 2026
$843k
Prevention and Treatment of Cardiovascular Disease in Patients with Chronic Kidney Disease: Patient-Oriented Research and Mentoring - RenewalK24HL155861 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams · 2021 to 2026
$732k
German Research Foundation 530592017HHS 75N92022D00001HHS 75N92022D00002HHS 75N92022D00003HHS 75N92022D00004HHS 75N92022D00005National Institute on Aging's Intramural Research Program AG000348-01National Institute on Aging's Intramural Research Program AG000349-01NCI NIH HHS U01 CA249866NHGRI NIH HHS R01 HG010480NHGRI NIH HHS R01 HG013137NHGRI NIH HHS R56 HG013137NHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005NHLBI NIH HHS K24 HL152440NHLBI NIH HHS K24 HL155861NHLBI NIH HHS R01 HL135008NHLBI NIH HHS R01 HL148218NIDDK NIH HHS R01 DK108803NIH HHSNIH/NHLBI K24HL155861NIH/NHLBI R01DK108803
6 · The paper itself

Abstract

introductionThe number of assays on proteomic platforms has grown rapidly. The leading platforms, SomaScan and Olink, have strengths and limitations. Comparisons of precision on the latest platforms-SomaScan 11k and Olink Explore HT-have not yet been established.

methodsAmong 102 participants in the Atherosclerosis Risk in Communities Study (mean age 74 years, 53% women, 47% Black), we used split plasma samples to measure platform precision. CV and Spearman correlations were calculated for each assay. Cross-platform agreement was assessed for overlapping proteins.

resultsSomaScan 11k demonstrated a median correlation of 0.85 for the 10 778 assays and a median CV of 6.8%, similar precision to earlier versions. The 5420 assays on Olink Explore HT exhibited a median correlation of 0.65 and median CV of 35.7%, which was higher than observed in its predecessors (e.g., 19.8% for Olink Explore 3072). Precision of Olink assays was inversely correlated with the percentage of samples above the limit of detection (LOD) (r = -0.77). Upon replacing Olink values below the LOD with values half the LOD, the median correlation for Olink assays measured in duplicate increased to 0.79; the median CV decreased to 13.3%. The distribution of between-platform correlations for the 4443 overlapping proteins had peaks at r approximately 0 and at r approximately 0.8. One-tenth of the protein pairs had cross-platform correlations r ≥ 0.8.

conclusionsPrecision of these 2 proteomics platforms in human plasma has diverged as the coverage has increased. These results highlight the need for careful consideration in platform selection based on specific research requirements.

Indexed as

Blood ProteinsProteomicsAgedFemaleHumansMaleBlood Proteins

Identifiers

PMID40172053
PMCPMC12129588

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.