Evidence map›Paper›PMID 32109663›Full record

ArticleAtherosclerosis2020

Gene discovery for high-density lipoprotein cholesterol level change over time in prospective family studies.

Mary F Feitosa, Kathryn L Lunetta, Lihua Wang, Mary K Wojczynski, Candace M Kammerer, Thomas Perls, Nicole Schupf, Kaare Christensen, Joanne M Murabito, Michael A Province

Open access · greenAbstract read
In one paragraph

Article in Atherosclerosis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. 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
  4. Identification of a Novel Locus for Gait Speed Decline With Aging: The Long Life Family Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  5. Review
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

10 authors at 5 institutions in 2 countries.

Mary F FeitosaDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, USA. Electronic address: mfeitosa@wustl.edu.
Kathryn L LunettaDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA; National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA.
Lihua WangDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, USA.
Mary K WojczynskiDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, USA.
Candace M KammererDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, PA, USA.
Thomas PerlsDepartment of Medicine, Geriatrics Section, Boston Medical Center, Boston University School of Medicine, MA, USA.
Nicole SchupfTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University Medical Center, New York, NY, USA.
Kaare ChristensenUnit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, Southern Denmark University, Odense, Denmark.
Joanne M MurabitoNational Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Michael A ProvinceDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, USA.
Framingham Heart Study · USBoston University · USColumbia University Irving Medical Center · USUniversity of Pittsburgh · USUniversity of Southern Denmark · DK

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI PAOLA SEBASTIANI · 2019 to 2026
$125.4M
Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
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
Genetic Architecture of Adiposity in Multiple Large CohortsR01DK089256 · NIDDK · WASHINGTON UNIVERSITY · PI BARANSKI, THOMAS JOHN, LIU, CHING-TI · 2010 to 2016
$4.6M
Probing The Dark Matter of the Genome in the NHLBI Family Heart StudyR01HL117078 · NHLBI · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2013 to 2016
$3.0M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS R01 HL117078NIA NIH HHS U01 AG023712NIA NIH HHS U01 AG023744NIA NIH HHS U01 AG023746NIA NIH HHS U01 AG023749NIA NIH HHS U01 AG023755NIA NIH HHS U19 AG063893NIDDK NIH HHS P30 DK056341NIDDK NIH HHS R01 DK089256
6 · The paper itself

Abstract

BACKGROUNDS AND

aimsSeveral genes are known to contribute to the levels and metabolism of HDL-C, however, their protective effects in cardiovascular disease (CVD), healthy aging, and longevity are complex and poorly understood. It is also unclear if these genes predict longitudinal HDL-C change. We aimed to identify loci influencing HDL-C change.

methodsWe performed a genome-wide association study (GWAS) with harmonized HDL-C and imputed genotype in three family-based studies recruited for exceptional survival (Long Life Family Study), from community-based (Framingham Heart Study) and enriched for CVD (Family Heart Study). In 7738 individuals with at least 2 visits, we employed a growth curve model to estimate the random linear trajectory parameter of age-sex-adjusted HDL-C for each person. GWAS was performed using a linear regression model on HDL-C change accounting for kinship correlations, population structure, and differences among studies.

resultsWe identified a novel association for HDL-C with GRID1 (p = 5.43 × 10

conclusionsModeling longitudinal HDL-C in prospective studies, with differences in healthy aging, longevity and CVD risk, contributed to gene discovery and provided insights into mechanisms of HDL-C regulation.

Indexed as

Genetic LociAdultAgedAged, 80 and overBiomarkersCardiovascular DiseasesCholesterol, HDLFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHealthy AgingHeart Disease Risk FactorsHumansLongevityMaleMiddle AgedBiomarkersCholesterol, HDLGWASHDL-C metabolismHealthy agingLongevityLongitudinal HDL-C change

Identifiers

PMID32109663
PMCPMC8098811
OpenAlexW3006040956

What OpenQuestion holds

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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 OpenQuestion graph.