Evidence map›Paper›PMID 34001009›Full record

SynthesisBMC genomics2021

Population genetic considerations for using biobanks as international resources in the pandemic era and beyond.

Hannah Carress, Daniel John Lawson, Eran Elhaik

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  15. Toward better diabetes care: Exploration and implementation.Journal of diabetes investigation · 2023
    Review
  16. Article
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  18. Article
  19. Systems biology analysis of human genomes points to key pathways conferring spina bifida risk.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  20. 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

3 authors at 3 institutions in 2 countries.

Hannah CarressDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.
Daniel John LawsonSchool of Mathematics and Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Eran ElhaikDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, UK. eran.elhaik@biol.lu.se.ORCID http://orcid.org/0000-0003-4795-1084
Lund University · SEUniversity of Bristol · GBUniversity of Sheffield · GB

Funding

Erik Philip-Sörensen Foundation G2020-011Medical Research Council MR/R025126/1Vetenskapsrådet 2020-03485
6 · The paper itself

Abstract

The past years have seen the rise of genomic biobanks and mega-scale meta-analysis of genomic data, which promises to reveal the genetic underpinnings of health and disease. However, the over-representation of Europeans in genomic studies not only limits the global understanding of disease risk but also inhibits viable research into the genomic differences between carriers and patients. Whilst the community has agreed that more diverse samples are required, it is not enough to blindly increase diversity; the diversity must be quantified, compared and annotated to lead to insight. Genetic annotations from separate biobanks need to be comparable and computable and to operate without access to raw data due to privacy concerns. Comparability is key both for regular research and to allow international comparison in response to pandemics. Here, we evaluate the appropriateness of the most common genomic tools used to depict population structure in a standardized and comparable manner. The end goal is to reduce the effects of confounding and learn from genuine variation in genetic effects on phenotypes across populations, which will improve the value of biobanks (locally and internationally), increase the accuracy of association analyses and inform developmental efforts.

Indexed as

Biological Specimen BanksPandemicsGenetics, PopulationHumansPrivacyBiobanksBioinformaticsGenomic medicinePopulation stratification biasPopulation structure

Identifiers

PMID34001009
PMCPMC8127217
OpenAlexW3160560609

What Socratic 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 Socratic graph.