ArticleNature communications2026
Cross-ancestry comparison of aptamer and antibody protein measures.
Abstract readComparative Study
In one paragraph
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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.
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.
Who cites it
5 citing papers in PubMed.
- Mapping the path to clinical implementation of multi-omics.Nature genetics · 2026Review
- Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations.bioRxiv : the preprint server for biology · 2026Article
- Functionally informed cis and trans proteome-wide association studies prioritize disease-critical genes.Research square · 2026Article
- Functionally informed cis and trans proteome-wide association studies prioritize disease-critical genes.medRxiv : the preprint server for health sciences · 2026Article
- Article
Corrections and comments
- Update of
Authors and funding
52 authors.
Jayna C NicholasDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Daniel H KatzDivision of Cardiovascular Medicine, Division of Computational Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-7237-8502
Usman A TahirDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3657-6082
Catherine L DebbanDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.
Francois AguetBroad Institute, Cambridge, MA, USA.
Thomas BlackwellUniversity of Michigan, Ann Arbor, MI, USA.
Russell P BowlerGenomic Sciences and Systems Biology, Cleveland Clinic Research, Cleveland, OH, USA.ORCID http://orcid.org/0000-0003-4651-363X
K Alaine BroadawayDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jingsha ChenDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Clary B ClishMetabolomics Platform, Broad Institute, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8259-9245
Josef CoreshDepartment of Population Health, Institute for Optimal Aging, New York, NY, USA.ORCID http://orcid.org/0000-0002-4598-0669
Elaine CornellDepartment of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
Daniel E CruzDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Rajat DeoDivision of Cardiovascular Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Margaret F DoyleDepartment of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
Peter DurdaDepartment of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
Lynette EkunweUniversity of Mississippi Medical Center, Jackson, MS, USA.
James S FloydSchool of Medicine, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0365-9041
Dipender GillSequoia Genetics, London, UK.
Xiuqing GuoDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.ORCID http://orcid.org/0000-0002-5264-5068
Ron C HoogeveenDivision of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Craig JohnsonUniversity of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-3161-3753
Leslie A LangeDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Yun LiDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0002-9275-4189
Alisa ManningBroad Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0247-902X
James B MeigsDepartment of Medicine, Broad Institute, Boston, MA, USA.
Michael Y MiDivision of Cardiovascular Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Josyf C MychaleckyjDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0003-2595-0005
Nels C OlsonDepartment of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
Katherine A PratteDepartment of Biostatistics, National Jewish Health, Denver, CO, USA.
Brucy M PsatyCardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-7278-2190
Alexander P ReinerFred Hutchinson Cancer Research Center, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-1427-4470
Peifeng RuanDepartment of Health Data Science and Biostatistics, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0002-1364-7992
Magdalena Sevilla-GonzalezClinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6135-9998
Amil M ShahDepartment of Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0003-1056-4451
Quan SunDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-8324-2803
Russell P TracyDepartment of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
Jia WenDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0003-3273-7704
Alexis C WoodDepartment of Pediatrics, USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0001-7616-2119
James G WilsonDepartment of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Kristin L YoungDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0003-0070-6145
Bing YuDepartment of Epidemiology and Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID http://orcid.org/0000-0003-4818-1077
Mary R RooneyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-5607-4848
Ani ManichaikulDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0002-5998-795X
Ruth DubinUT Southwestern, Dallas, TX, USA.ORCID http://orcid.org/0000-0002-0498-1980
Karen L MohlkeDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-6721-153X
Stephen S RichDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0003-3872-7793
Jerome I RotterDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.ORCID http://orcid.org/0000-0001-7191-1723
Peter GanzDivision of Cardiology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-0437-8882
Robert E GersztenDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6767-7687
Kent D TaylorDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Laura M RaffieldDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. laura_raffield@unc.edu.ORCID http://orcid.org/0000-0002-7892-193X
Funding
Large Scale Sequencing and Analysis of GenomesU54HG003067 · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · 2004 to 2005
$111.5MUCLA Clinical and Translational Science InstituteUL1TR001881 · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2025 to 2025
$9.9MMulti-Ethnic Study of Atherosclerosis (MESA) StudyR01HL071205 · CEDARS-SINAI MEDICAL CENTER · 2003 to 2005
$5.8MPilot & Feasibility ProgramP30DK063491 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2003 to 2025
$5.4MTOPMed Omics of Type 2 Diabetes and Quantitative TraitsUM1DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · 2022 to 2025
$3.1MLate-life trajectories of cardiac function to define pathways of cardiac resilienceR01HL135008 · UT SOUTHWESTERN MEDICAL CENTER · 2025 to 2025
$1.9MMULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA), COORDINATING CENTER - TASK AREA A - CORE STUDY OPERATIONS75N92020D00001 · UNIVERSITY OF WASHINGTON · 2025 to 2025
$972kMESA Family StudyR01HL071250 · NORTHWESTERN UNIVERSITY · 2003 to 2005
$852kMESA Family StudyR01HL071258 · WAKE FOREST UNIVERSITY HEALTH SCIENCES · 2003 to 2005
$780kSUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · 1999 to 2001
$758kMESA Family StudyR01HL071259 · JOHNS HOPKINS UNIVERSITY · 2003 to 2005
$757kMESA Family StudyR01HL071051 · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2003 to 2005
$753kNCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NCRR NIH HHS UL1 RR033176NHGRI NIH HHS U54 HG003067NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS F31 HL176194NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS K08 HL161445NHLBI NIH HHS K23 HL171855NHLBI NIH HHS K24 HL152008NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL071051NHLBI NIH HHS R01 HL071205NHLBI NIH HHS R01 HL071250NHLBI NIH HHS R01 HL071251NHLBI NIH HHS R01 HL071258NHLBI NIH HHS R01 HL071259NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS R01 HL133870NHLBI NIH HHS R01 HL135008NHLBI NIH HHS R01 HL146860NHLBI NIH HHS R01 HL151855NHLBI NIH HHS R01 HL159081NIA NIH HHS U01 AG082042NIDDK NIH HHS K01 DK141963NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK072193NIDDK NIH HHS UM1 DK078616NIGMS NIH HHS T32 GM135128NIH HHS 75N98025D00022NIH HHS 75N98025D00024NIH HHS 75N98025D00025NIH HHS 75N98025D00026NIH HHS 75N98025D00027NIH HHS 75N98025D00028U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01DK072193U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HL133870U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) 1F31HL176194-01A1U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) T32GM135128
Abstract
Measures from affinity-proteomics platforms often correlate poorly, challenging interpretation of protein associations with genetic variants and phenotypes. Here, we examine 2157 proteins measured on both SomaScan 7k and Olink Explore 3072 across 1930 participants with genetic similarity to European, African, East Asian, and Admixed American ancestry references. Inter-platform correlation coefficients for these 2157 proteins follow a bimodal distribution (median r = 0.30). We evaluate protein measure associations with genetic variants, and find approximately 25-30% of the signals on each platform are likely driven by protein-altering variants. We highlight 80 proteins that correlate differently across ancestry groups likely in part due to differing protein-altering variant frequencies by ancestry. Furthermore, adjustment for protein-altering variants with opposite directions of effect by platform improves inter-platform protein measure correlation and results in more concordant genetic and phenotypic associations. Hence, protein-altering variants need to be accounted for across ancestries to facilitate platform-concordant and accurate protein measurement.
Indexed as
AntibodiesAptamers, NucleotideProteinsProteomicsEast Asian PeopleEuropean PeopleGenetic VariationHumansPolymorphism, Single NucleotideWhite PeopleAntibodiesAptamers, NucleotideProteins
Identifiers
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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 Socratic graph.