Evidence map›Paper›PMID 20813421›Full record

ArticleTrends in genetics : TIG2010

Towards a complete resolution of the genetic architecture of disease.

Andrew B Singleton, John Hardy, Bryan J Traynor, Henry Houlden

Open access · greenAbstract read
In one paragraph

Article in Trends in genetics : TIG, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 pooled it
8.7field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it, 88 citations in OpenAlex.

  1. TREM2 variants in Alzheimer's disease.The New England journal of medicine · 2013
    Pooled it
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  14. Next-generation sequencing in neuromuscular diseases.Current opinion in neurology · 2016
    Review
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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

4 authors at 3 institutions in 2 countries.

Andrew B SingletonLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA. singleta@mail.nih.gov
John Hardy
Bryan J Traynor
Henry Houlden
Medical Research Council · GBNational Institute on Aging · USNational Institutes of Health · US

Funding

Genome wide SNP analysis in Parkinson's diseaseZIAAG000949 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW · 2009 to 2024
$12.6M
Assessment of Candidate Loci in Neurological diseasesZIAAG000957 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW · 2009 to 2024
$12.2M
Characterization of Normal Genomic VariabilityZIAAG000932 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW · 2009 to 2024
$11.3M
Genome wide SNP analysis in Amyotrophic Lateral SclerosisZIAAG000933 · NIA · NATIONAL INSTITUTE ON AGING · PI TRAYNOR, BRYAN · 2009 to 2025
$9.8M
Genome wide SNP analysis in Parkinson's diseaseZ01AG000949 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW B · 2006 to 2008
$2.6M
Characterization of Normal Genomic VariabilityZ01AG000932 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW · 2008 to 2008
$658k
Intramural NIH HHS Z01 AG000932Intramural NIH HHS Z01 AG000949Medical Research Council G0601943Medical Research Council G0701075Medical Research Council G0802760
6 · The paper itself

Abstract

After years of linear gains in the genetic dissection of human disease we are now in a period of exponential discovery. This is particularly apparent for complex disease. Genome-wide association studies (GWAS) have provided myriad associations between common variability and disease, and have shown that common genetic variability is unlikely to explain the entire genetic predisposition to disease. Here we detail how one can expand on this success and systematically identify genetic risks that lead or predispose to disease using next-generation sequencing. Geneticists have had for many years a protocol to identify Mendelian disease. A similar set of tools is now available for the identification of rare moderate-risk loci and common low-risk variants. Whereas major challenges undoubtedly remain, particularly regarding data handling and the functional classification of variants, we suggest that these will be largely practical and not conceptual.

Indexed as

Genetic Predisposition to DiseaseAllelesGenetic VariationGenome-Wide Association StudyHumansRisk Factors

Identifiers

PMID20813421
PMCPMC2943029
OpenAlexW2072094636

What OpenQuestion holds

Textmetadata
LicenceTDM
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.