Evidence map›Paper›PMID 19168782›Full record

ReviewThe journals of gerontology. Series A, Biological sciences and medical sciences2009

Genetic epidemiology in aging research.

M Daniele Fallin, Amy Matteini

Abstract readReview
In one paragraph

Review in The journals of gerontology. Series A, Biological sciences and medical sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. Article
  6. Article
  7. Review
  8. 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

2 authors.

M Daniele FallinDepartment of Epidemiology, Bloomberg School of Public Health, Baltimore, MD 21205, USA. dfallin@jhsph.edu
Amy Matteini

Funding

Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
EPIDEMIOLOGY AND BIOSTATISTICS OF AGINGT32AG000247 · NIA · JOHNS HOPKINS UNIVERSITY · PI Karen J. Bandeen-Roche · 1996 to 2026
$13.2M
Genetic Risk Factors for Alzheimers DiseaseR01AG020688 · NIA · JOHNS HOPKINS UNIVERSITY · PI FALLIN, MARGARET DANIELE · 2003 to 2007
$5.0M
Translational Research Training Program in Gerontology and GeriatricsT32AG000120 · NIA · JOHNS HOPKINS UNIVERSITY · PI FEDARKO, NEAL S · 1986 to 2012
$4.2M
AGE-Related Epigenetic Changes - Environmental Causes and Disease ConsequencesR01ES015211 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI FALLIN, M DANIELE · 2006 to 2009
$2.1M
NIA NIH HHS P30-AG021334NIA NIH HHS R01-AG20688NIA NIH HHS T32-AG000120NIA NIH HHS T32-AG000247NIEHS NIH HHS R01-ES015211
6 · The paper itself

Abstract

Over the last two decades, aging research has expanded to include not only age-related disease models, and conversely, longevity and disease-free models, but also focuses on biological mechanisms related to the aging process. By viewing aging on multiple research frontiers, we are rapidly expanding knowledge as a whole and mapping connections between biological processes and particular age-related diseases that emerge. This is perhaps most true in the field of genetics, where variation across individuals has improved our understanding of aging mechanisms, etiology of age-related disease, and prediction of therapeutic responses. A close partnership between gerontologists, epidemiologists, and geneticists is needed to take full advantage of emerging genome information and technology and bring about a new age for biological aging research. Here we review current genetic findings for aging across both disease-specific and aging process domains. We then highlight the limitations of most work to date in terms of study design, genomic information, and trait modeling and focus on emerging technology and future directions that can partner genetic epidemiology and aging research fields to best take advantage of the rapid discoveries in each.

Indexed as

AgingBiasBiomedical ResearchHumansLongevityPhenotype

Identifiers

PMID19168782
PMCPMC2691193

What OpenQuestion holds

Textmetadata
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.