Evidence map›Paper›PMID 25664523›Full record

ArticleAging2015

Burden of disease variants in participants of the Long Life Family Study.

Meredith Stevenson, Harold Bae, Nicole Schupf, Stacy Andersen, Qunyuan Zhang, Thomas Perls, Paola Sebastiani

Erratum issuedOpen access · hybridAbstract readComparative Study
In one paragraph

Article in Aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Allele-Specific Transcript Abundance: A Pilot Study in Healthy Centenarians.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  8. Article
  9. Four Genome-Wide Association Studies Identify New Extreme Longevity Variants.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Meredith StevensonDepartment of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA.
Harold BaeCollege of Public Health and Human Sciences, Oregon State University, OR 97331, USA.
Nicole SchupfDepartment of Neurology, Columbia UNiversity, New York City, NY 10027, USA.
Stacy AndersenSection of Geriatrics, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA 02118, USA.
Qunyuan ZhangDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA.
Thomas PerlsSection of Geriatrics, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA 02118, USA.
Paola SebastianiDepartment of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA.
Boston Medical Center · USBoston University · USColumbia University · USOregon State University · US

Funding

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
Long Life Family Study: Duke Univ./Univ. of Southern Denmark Field CenterU01AG023712 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2004 to 2018
$10.4M
Interdisciplinary Training for BiostatisticiansT32GM074905 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WHITE, LAURA FORSBERG · 2005 to 2019
$3.0M
NIA NIH HHS U01-AG023712NIA NIH HHS U01 AG023749NIA NIH HHS U01 AG023755NIA NIH HHS U01-AG023755NIGMS NIH HHS T32 GM074905NIGMS NIH HHS T32 GM74905
6 · The paper itself

Abstract

Case control studies of nonagenarians and centenarians provide evidence that long-lived individuals do not differ in the rate of disease associated variants compared to population controls. These results suggest that an enrichment of novel protective variants, rather than a lack of disease associated variants, determine the genetic predisposition to exceptionally long lives. Using data from the Long Life Family Study (LLFS), we sought to replicate these findings and extend them to include a larger number of disease-specific risk alleles. To accomplish this goal, we built a genetic risk score for each of four age-related disease groups: Alzheimer's disease, cardiovascular disease and stroke, type 2 diabetes, and various cancers and compared the distribution of these scores between older participants of the LLFS, their offspring and their spouses. The analyses showed no significant differences in distribution of the genetic risk scores for cardiovascular disease and stroke, type 2 diabetes, or cancer between the groups, while participants of the LLFS appeared to carry an average 1% fewer risk alleles for Alzheimer's disease compared to spousal controls and, while the difference may not be clinically relevant, it was statistically significant. However, the statistical significance between familial longevity and the Alzheimer's disease genetic risk score was lost when a more stringent linkage disequilibrium threshold was imposed to select independent genetic variants.

Indexed as

Chronic DiseaseGenetic Predisposition to DiseaseAgedAged, 80 and overFemaleHumansLongevityMaleMiddle AgedRisk Assessment

Identifiers

PMID25664523
PMCPMC4359694
OpenAlexW1553830364

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.