Evidence map›Paper›PMID 38826208›Full record

ArticlebioRxiv : the preprint server for biology2024

A Novel Gene

Siyu Wang, Petra Lenzini, Bharat Thygarajan, Joseph H Lee, Badri N Vardarajan, Anatoli Yashin, Iva Miljkovic, E Warwick Daw, Shiow J Lin, Gary Patti and 6 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Siyu WangDepartment of Genetics Division of Statistical Genomics, Washington University School of Medicine. St. Louis, MO, USA.
Petra LenziniDepartment of Radiology, Washington University School of Medicine. St. Louis, MO, USA.
Bharat ThygarajanDepartments of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Joseph H LeeGertrude H. Sergievsky Center and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Departments of Neurology and Epidemiology, Columbia University, New York City, NY, USA.
Badri N VardarajanGertrude H. Sergievsky Center and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Departments of Neurology and Epidemiology, Columbia University, New York City, NY, USA.
Anatoli YashinSocial Science Research Institute, Duke University, Durham, NC, USA.
Iva MiljkovicDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
E Warwick DawDepartment of Genetics Division of Statistical Genomics, Washington University School of Medicine. St. Louis, MO, USA.
Shiow J LinDepartment of Genetics Division of Statistical Genomics, Washington University School of Medicine. St. Louis, MO, USA.
Gary PattiDepartment of Chemistry, Washington University School of Art and Sciences, St. Louis, MO, USA.
Michael BrentDeptartment of Computer Science and Center for Genome Sciences, Washington University, St. Louis, MO, USA.ORCID 0000-0002-8689-0299
Joseph M ZmudaDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Thomas T PerlsDepartments of Medicine and Geriatrics, Boston University School of Medicine, Boston, MA, USA.
Kaare ChristensenDanish Aging Research Center, Epidemiology, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-5429-5292
Michael A ProvinceDepartment of Genetics Division of Statistical Genomics, Washington University School of Medicine. St. Louis, MO, USA.
Ping AnDepartment of Genetics Division of Statistical Genomics, Washington University School of Medicine. St. Louis, MO, USA.

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI PAOLA SEBASTIANI · 2019 to 2026
$125.4M
Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Miguel Arce · 2020 to 2026
$30.1M
Long Life Family Study: Data Management and Coordinating CenterU01AG023746 · NIA · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2004 to 2018
$29.2M
The Long Life Family StudyU01AG023755 · NIA · BOSTON MEDICAL CENTER · PI PERLS, THOMAS T · 2004 to 2018
$13.2M
Plasma beta-amyloid in long lived families: genetics and risk of ADU01AG023749 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COSENTINO, STEPHANIE ANN, LEE, JOSEPH HYUNGWOO · 2004 to 2018
$13.0M
Multicenter Study on Exceptional Survival in Families: The Long Life Family StudyU01AG023744 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B., ZMUDA, JOSEPH M. · 2004 to 2018
$12.0M
Long Life Family Study: Duke Univ./Univ. of Southern Denmark Field CenterU01AG023712 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2004 to 2018
$10.4M
NIA NIH HHS P30 AG066462NIA NIH HHS U01 AG023712NIA NIH HHS U01 AG023744NIA NIH HHS U01 AG023746NIA NIH HHS U01 AG023749NIA NIH HHS U01 AG023755NIA NIH HHS U19 AG063893
6 · The paper itself

Abstract

Glycated hemoglobin (HbA1c) indicates average glucose levels over three months and is associated with insulin resistance and type 2 diabetes (T2D). Longitudinal changes in HbA1c (ΔHbA1c) are also associated with aging processes, cognitive performance, and mortality. We analyzed ΔHbA1c in 1,886 non-diabetic Europeans from the Long Life Family Study to uncover gene variants influencing ΔHbA1c. Using growth curve modeling adjusted for multiple covariates, we derived ΔHbA1c and conducted linkage-guided sequence analysis. Our genome-wide linkage scan identified a significant locus on

Identifiers

PMID38826208
PMCPMC11142083

What OpenQuestion holds

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Registered trials

None linked

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.