ArticlemedRxiv : the preprint server for health sciences2023
Characterizing common and rare variations in non-traditional glycemic biomarkers using multivariate approaches on multi-ancestry ARIC study.
Debashree Ray, Stephanie J Loomis, Sowmya Venkataraghavan, Adrienne Tin, Bing Yu, Nilanjan Chatterjee, Elizabeth Selvin, Priya Duggal
Open access · greenAbstract readPreprint
In one paragraphArticle in medRxiv : the preprint server for health sciences, 2023. 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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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
5 · Who and what moneyAuthors and funding
8 authors at 4 institutions in 1 country.
Debashree RayDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.
Stephanie J LoomisBiogen Inc, Cambridge, MA.
Sowmya VenkataraghavanDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.
Adrienne TinSchool of Medicine, University of Mississippi Medical Center, Jackson, MS.
Bing YuDepartment of Epidemiology, UTHealth School of Public Health, Houston, TX.
Nilanjan ChatterjeeDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.
Elizabeth SelvinDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.
Priya DuggalDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.
Johns Hopkins University · USBiogen (United States) · USUniversity of Mississippi Medical Center · USUniversity of Texas Health Science Center at Dallas · US
Funding
The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3MInstitute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8MBuilding on GWAS for NHLBI-disease: the CHARGE consortiumRC2HL102419 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2009 to 2010
$27.6MGenome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2MCARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5MGenome-Wide Association for Loci Influencing CHD and Other Heart, Lung and BloodR01HL087641 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2006 to 2008
$3.7MGWA for Gene-Environment Interaction Effects Influencing CHDU01HG004402 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2007 to 2009
$1.6MResearch and Mentoring in the Clinical Epidemiology of Cardiovascular Disease and Type 2 DiabetesK24HL152440 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2020 to 2024
$612kMulti-trait genome-wide characterization of non-traditional glycemic biomarkers and type 2 diabetesR21DK125888 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI RAY, DEBASHREE · 2021 to 2022
$450kStatistical methods for identifying pleiotropy between complex human traitsR21HG012978 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI RAY, DEBASHREE · 2023 to 2024
$450kNCRR NIH HHS UL1 RR025005NHGRI NIH HHS R21 HG012978NHGRI NIH HHS U01 HG004402NHGRI NIH HHS U54 HG003273NHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS K24 HL152440NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS RC2 HL102419NHLBI NIH HHS T32 HL007024NIDDK NIH HHS R21 DK125888
6 · The paper itselfAbstract
Glycated hemoglobin, fasting glucose, glycated albumin, and fructosamine are biomarkers that reflect different aspects of the glycemic process. Genetic studies of these glycemic biomarkers can shed light on unknown aspects of type 2 diabetes genetics and biology. While there exists several GWAS of glycated hemoglobin and fasting glucose, very few GWAS have focused on glycated albumin or fructosamine. We performed a multi-phenotype GWAS of glycated albumin and fructosamine from 7,395 White and 2,016 Black participants in the Atherosclerosis Risk in Communities (ARIC) study on the common variants from genotyped/imputed data. We found 2 genome-wide significant loci, one mapping to known type 2 diabetes gene (
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