Evidence map›Paper›PMID 38947029›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Novel Loci (

Lihua Wang, Siyu Wang, Jason A Anema, Vaha A Moghaddam, Yanli Lu, Shiow Lin, E Warwick Daw, Allison L Kuipers, Iva Miljkovic, Michael Brent and 5 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article 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.

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

15 authors.

Lihua WangDivision of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA.
Siyu WangDivision of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA.
Jason A AnemaDivision of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA.
Vaha A MoghaddamDivision of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA.
Yanli LuDivision of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA.
Shiow LinDivision of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA.
E Warwick DawDivision of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA.
Allison L KuipersDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Iva MiljkovicDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Michael BrentDivision of Computation & Data Sciences, Washington University School of Medicine, St. Louis, MO, USA.
Gary PattiDepartment of Chemistry, Washington University School of Medicine, St. Louis, MO, USA.
Bharat ThygarajanDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Joseph M ZmudaDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Michael A ProvinceDivision of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA.
Ping AnDivision of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA.

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI Stacy Andersen, KAARE CHRISTENSEN · 2019 to 2026
$125.4M
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 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

Aims/hypothesis: Triglyceride (TG) /High density lipoprotein cholesterol (HDL-C) ratio (THR) represents a single surrogate predictor of hyperinsulinemia or insulin resistance that is associated with premature aging processes, risk of diabetes and increased mortality. To identify novel genetic loci for THR change over time (ΔTHR), we conducted genome-wide association study (GWAS) and genome-wide linkage scan (GWLS) among subjects of European ancestry who had complete data from two exams collected about seven years apart from the Long Life Family Study (LLFS, n=1384), a study with familial clustering of exceptional longevity in the US and Denmark. Methods: Subjects with diabetes or using medications for dyslipidemia were excluded from this analysis. ΔTHR was derived using growth curve modeling, and adjusted for age, sex, field centers, and principal components (PCs). GWAS was conducted using a linear mixed model accounted for familial relatedness. Our linkage scan was built on haplotype-based IBD estimation with 0.5 cM average spacing. Results: Heritability of ΔTHR was moderate (46%). Our GWAS identified a significant locus at the Conclusions: our linkage-guided sequence analysis approach permitted our discovery of two novel gene variants

Identifiers

PMID38947029
PMCPMC11213051

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Registered trials

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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.