ArticlemedRxiv : the preprint server for health sciences2024
Ancestrally diverse genome-wide association analysis highlights ancestry-specific differences in genetic regulation of plasma protein levels.
Chloé Sarnowski, Jianzhong Ma, Ngoc Quynh H Nguyen, Ron C Hoogeveen, Christie M Ballantyne, Josef Coresh, Alanna C Morrison, Nilanjan Chatterjee, Eric Boerwinkle, Bing Yu
Abstract readPreprint
In one paragraphArticle in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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What it found
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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 registryThe trial behind it
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3 · Its place in the literatureWho cites it
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
10 authors.
Chloé SarnowskiDepartment of Epidemiology, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX.ORCID 0000-0002-6090-7099 Jianzhong MaDepartment of Epidemiology, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX.
Ngoc Quynh H NguyenDepartment of Epidemiology, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX.
Ron C HoogeveenDepartment of Medicine, Baylor College of Medicine, Houston, TX.
Christie M BallantyneDepartment of Medicine, Baylor College of Medicine, Houston, TX.
Josef CoreshOptimal Aging Institute, New York University Grossman School of Medicine, New York, NY.
Alanna C MorrisonDepartment of Epidemiology, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX.
Nilanjan ChatterjeeDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Eric BoerwinkleDepartment of Epidemiology, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX.
Bing YuDepartment of Epidemiology, The University of Texas Health Science Center at Houston, School of Public Health, Houston, TX.ORCID 0000-0003-4818-1077 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
$13.7MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA · 2022 to 2025
$5.1MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE · 2022 to 2025
$5.0MTHE 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
$4.8MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2022 to 2025
$4.7MProteomic signatures to identifypathways underlying the progression toheart failureR01HL148218 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI SHAH, AMIL M, YU, BING · 2020 to 2023
$3.4MProfiling Cardiovascular Events and Biomarkers in the Very Old to Improve Personalized Approaches for the Prevention of Cardiac and Vascular DiseaseR01HL134320 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL, SELVIN, ELIZABETH · 2016 to 2019
$3.1MStatistical Methods for Data Integration and Applications to Genome-wide Association StudiesR01HG013137 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI Nilanjan Chatterjee · 2024 to 2026
$843kExploring Common Biological Pathways Underlying Insulin Resistance and Alzheimer Disease using Genetic and Omic ToolsR00AG066849 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI SARNOWSKI, CHLOÉ · 2022 to 2024
$726kStatistical Methods for Data Integration and Applications to Genome-wide Association StudiesR56HG013137 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI CHATTERJEE, NILANJAN · 2023 to 2023
$290kNHGRI 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 R01 HL134320NHLBI NIH HHS R01 HL148218NIA NIH HHS R00 AG066849
6 · The paper itselfAbstract
Fully characterizing the genetic architecture of circulating proteins in multi-ancestry populations provides an unprecedented opportunity to gain insights into the etiology of complex diseases. We characterized and contrasted the genetic associations of plasma proteomes in 9,455 participants of European and African (19.8%) ancestry from the Atherosclerosis Risk in Communities Study. Of 4,651 proteins, 1,408 and 2,565 proteins had protein-quantitative trait loci (pQTLs) identified in African and European ancestry respectively, and twelve unreported potentially causal protein-disease relationships were identified. Shared pQTLs across the two ancestries were detected in 1,113 aptamer-region pairs pQTLs, where 53 of them were not previously reported (all
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PMID39399032
PMCPMC11469718
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