Evidence map›Paper›PMID 30353151›Full record

ArticleEuropean journal of human genetics : EJHG2019

The Medical Genome Reference Bank: a whole-genome data resource of 4000 healthy elderly individuals. Rationale and cohort design.

Paul Lacaze, Mark Pinese, Warren Kaplan, Andrew Stone, Marie-Jo Brion, Robyn L Woods, Martin McNamara, John J McNeil, Marcel E Dinger, David M Thomas

Open access · hybridAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Expanding the spectrum ofMolecular genetics and metabolism reports · 2018
    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

10 authors at 4 institutions in 1 country.

Paul LacazeDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia. paul.lacaze@monash.edu.ORCID http://orcid.org/0000-0002-0902-6798
Mark PineseGarvan Institute of Medical Research, Sydney, NSW, Australia. m.pinese@garvan.org.au.ORCID http://orcid.org/0000-0001-5078-6687
Warren KaplanGarvan Institute of Medical Research, Sydney, NSW, Australia.
Andrew StoneGarvan Institute of Medical Research, Sydney, NSW, Australia.
Marie-Jo BrionGarvan Institute of Medical Research, Sydney, NSW, Australia.
Robyn L WoodsDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Martin McNamaraSax Institute, Sydney, NSW, Australia.
John J McNeilDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Marcel E DingerGarvan Institute of Medical Research, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-4423-934X
David M ThomasGarvan Institute of Medical Research, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-2527-5428
Garvan Institute of Medical Research · AUMonash University · AUMonash Health · AUSax Institute · AU

Funding

ASPirin in Reducing Events in the ElderlyU01AG029824 · NIA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI MCNEIL, JOHN JAMES, MURRAY, ANNE M · 2009 to 2018
$64.6M
NIA NIH HHS U01 AG029824
6 · The paper itself

Abstract

Allele frequency data from human reference populations is of increasing value for the filtering, interpretation, and assignment of pathogenicity to genetic variants. Aged and healthy populations are more likely to be selectively depleted of pathogenic alleles and therefore particularly suitable as a reference population for the major diseases of clinical and public health importance. However, reference studies of confirmed healthy elderly individuals have remained under-represented in human genetics. Here we describe the Medical Genome Reference Bank (MGRB), a large-scale comprehensive whole-genome data set of healthy elderly individuals. The MGRB provides an accessible data resource for health-related research and clinical genetics and a powerful platform for studying the genetics of healthy ageing. The MGRB is comprised of 4000 healthy, older individuals, mostly of European descent, recruited from two Australian community-based cohorts. Each participant lived ≥70 years with no reported history of cancer, cardiovascular disease, or dementia. DNA derived from blood samples has been subject to whole-genome sequencing. The MGRB has committed to a policy of data sharing, employing a hierarchical data management system to maintain participant privacy and confidentiality, while maximising research and clinical usage of the database. The MGRB represents a resource of international significance, which will be made broadly accessible to the clinical and genetic research community.

Indexed as

Genome, HumanAgedAgingCohort StudiesDatabases, GeneticFemaleHealthy VolunteersHumansMaleWhole Genome Sequencing

Identifiers

PMID30353151
PMCPMC6336775
OpenAlexW2952877743

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.