Evidence map›Paper›PMID 21155765›Full record

ReviewEuropean journal of clinical investigation2011

The effect of next-generation sequencing technology on complex trait research.

Aaron G Day-Williams, Eleftheria Zeggini

Open access · bronzeAbstract readReview
In one paragraph

Review in European journal of clinical investigation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 5 pooled it
4.4field-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

29 citing papers in PubMed, 5 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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  8. Genetic Association Studies of Age-Related Traits: New Perspectives.Advances in geriatric medicine and research · 2021
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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 at 1 institution in 1 country.

Aaron G Day-WilliamsWellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
Eleftheria Zeggini
Wellcome Sanger Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in the understanding of complex trait genetics have always been enabled by advances in genomic technology. Next-generation sequencing (NGS) is set to revolutionize the way complex trait genetics research is carried out.

resultsNGS has multiple applications in the field of human genetics, but is accompanied by substantial study design, analysis and interpretation challenges. This review discusses key aspects of study design considerations, data handling issues and required analytical developments. We also highlight early successes in mapping genetic traits using NGS.

conclusionNGS opens the entire spectrum of genomic alterations for the genetic analysis of complex traits and there are early publications illustrating its power. Continuing development in analytical tools will allow the promise of NGS to be realized.

Indexed as

DiseaseGenetic ResearchGenome, HumanGenomicsGenotypeHumansResearch DesignSequence Analysis, DNA

Identifiers

PMID21155765
PMCPMC3107422
OpenAlexW1559546378

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.