Evidence map›Paper›PMID 31634740›Full record

ArticleAtherosclerosis2019

Genome-wide linkage analysis of carotid artery traits in exceptionally long-lived families.

Allison L Kuipers, Mary K Wojczynski, Emma Barinas-Mitchell, Ryan L Minster, Lihua Wang, Mary F Feitosa, Alexander Kulminski, Bharat Thyagarajan, Joseph H Lee, Michael A Province and 3 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Atherosclerosis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. NIA Long Life Family Study: Objectives, Design, and Heritability of Cross-Sectional and Longitudinal Phenotypes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  2. Article
  3. Article
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

13 authors at 5 institutions in 1 country.

Allison L KuipersDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: kuipers@pitt.edu.
Mary K WojczynskiDepartment of Genetics, Washington University in St Louis, St. Louis, MO, USA.
Emma Barinas-MitchellDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Ryan L MinsterDepartment of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA.
Lihua WangDepartment of Genetics, Washington University in St Louis, St. Louis, MO, USA.
Mary F FeitosaDepartment of Genetics, Washington University in St Louis, St. Louis, MO, USA.
Alexander KulminskiSocial Science Research Institute, Duke University, Durham, NC, USA.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Joseph H LeeSergievsky Center, Taub Institute, Departments of Epidemiology and Neurology, Columbia University, New York, NY, USA.
Michael A ProvinceDepartment of Genetics, Washington University in St Louis, St. Louis, MO, USA.
Anne B NewmanDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Joseph M ZmudaDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA.
Long-Life Family Study
University of Pittsburgh · USWashington University in St. Louis · USColumbia University · USSocial Science Research Council · USUniversity of Minnesota · US

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI Stacy Andersen, KAARE CHRISTENSEN · 2019 to 2026
$125.4M
Satellite Diagnostic and Treatment Clinic CoreP50AG008702 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DE JAGER, PHILIP L · 1989 to 2019
$46.3M
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
STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI SCOTT M. LYNCH · 2009 to 2026
$12.2M
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
Relationships among Genetic Regulators of Aging Health and LifespanP01AG043352 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$8.7M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Molecular Epidemiology of the Wnt Pathway in Subclinical Cardiovascular DiseaseK01HL125658 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KUIPERS, ALLISON L · 2015 to 2019
$693k
Explanations of Racial Disparities in Active LifeR03HD050374 · NICHD · PRINCETON UNIVERSITY · PI LYNCH, SCOTT M · 2005 to 2006
$156k
NHLBI NIH HHS K01 HL125658NIA NIH HHS P01 AG043352NIA NIH HHS P30 AG034424NIA NIH HHS P50 AG008702NIA NIH HHS U01 AG023712NIA NIH HHS U01 AG023744NIA NIH HHS U01 AG023746NIA NIH HHS U01 AG023749NIA NIH HHS U01 AG023755NIA NIH HHS U19 AG063893NIBIB NIH HHS R01 EB015611NICHD NIH HHS R03 HD050374
6 · The paper itself

Abstract

BACKGROUND AND

aimsAtherosclerosis develops with age and is partially controlled by genetics. Research to date has identified common variants with small effects on atherosclerosis related traits. We aimed to use family-based genome-wide linkage analysis to identify chromosomal regions potentially harboring rare variants with larger effects for atherosclerosis related traits.

methodsParticipants included 2205 individuals from the Long Life Family Study (LLFS), which recruited families with exceptional longevity from Boston, New York, Pittsburgh, and Denmark. Participants underwent B-mode ultrasonography of the carotid arteries to measure intima-media thickness (IMT), inter-adventitial diameter (IAD), and plaque presence and severity. We conducted residual heritability and genome-wide linkage analyses adjusted for age, age

resultsAll carotid traits were significantly heritable with a range of 0.68 for IAD to 0.38 for IMT. We identified three chromosomal regions with linkage to IAD (3q13; max LOD 5.3), plaque severity (17q22-q23, max LOD 3.2), and plaque presence (17q24, max LOD 3.1). No common allelic variants within these linkage peaks were associated with the carotid artery traits.

conclusionsWe identified three chromosomal regions with evidence of linkage to carotid artery diameter and atherosclerotic plaque in exceptionally long-lived families. Since common allelic variants within our linkage peaks did not account for our findings, future follow-up resequencing of these regions in LLFS families should help advance our understanding of atherosclerosis, CVD, and healthy vascular aging.

Indexed as

Carotid ArteriesGenetic LinkagePolymorphism, Single NucleotideAdultAgedAged, 80 and overAge FactorsCarotid Artery DiseasesCarotid Intima-Media ThicknessDenmarkFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHeredityHumansLongevityAgingAtherosclerosisCarotid ultrasoundGenome-wide studyLinkage analysis

Identifiers

PMID31634740
PMCPMC6899182
OpenAlexW2980021260

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.