Evidence map›Paper›PMID 25653097›Full record

ArticleNature communications2014

Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel.

Olivier Delaneau, Jonathan Marchini, 1000 Genomes Project Consortium, 1000 Genomes Project Consortium

Abstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 273 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
273citing papers in PubMed, 11 pooled it
–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

273 citing papers in PubMed, 11 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Genetic variant inAnnals of medicine · 2021
    Pooled it
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  12. Trial
  13. Genetic Predictors of Severe Skin Toxicity in Patients with Stage III Colon Cancer Treated with Cetuximab: NCCTG N0147 (Alliance).Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Trial
  14. Integrated Genomic and Transcriptomic Study RevealsCirculation. Genomic and precision medicine · 2026
    Article
  15. Article
  16. Article
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  18. Genetic Differences in Purple Finch (Ecology and evolution · 2026
    Article
  19. Article
  20. Article

213 more citing papers are in PubMed but not listed here.

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.

Olivier DelaneauDepartment of Statistics, University of Oxford, Oxford OX1 3TG, UK.
Jonathan Marchini1] Department of Statistics, University of Oxford, Oxford OX1 3TG, UK [2] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
1000 Genomes Project Consortium
1000 Genomes Project Consortium

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
Understanding Obesity In Relation to the Built EnvironmentP20MD006899 · NIMHD · JACKSON STATE UNIVERSITY · PI ANTOINE-LAVIGNE, DONNA A · 2012 to 2016
$5.3M
Robust Software Tools for Variant Identification and Functional AssessmentU01HG006513 · NHGRI · UNIVERSITY OF UTAH · PI ABECASIS, GONCALO, MARTH, GABOR T · 2012 to 2015
$4.2M
Natural Genetic Variation in the Human GenomeR01HG002898 · NHGRI · UNIVERSITY OF MARYLAND BALTIMORE · PI DEVINE, SCOTT E · 2004 to 2019
$3.7M
Natural mutagenesis of human genomes by endogenous retrotransposonsR01CA166661 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI DEVINE, SCOTT E · 2012 to 2016
$1.6M
Biotechnology and Biological Sciences Research Council BB/I02593X/1Medical Research Council G0801823NCI NIH HHS R01 CA166661NHGRI NIH HHS R01 HG002898NHGRI NIH HHS U01 HG006513NIEHS NIH HHS P30 ES013508NIMHD NIH HHS P20 MD006899Wellcome Trust 096599
6 · The paper itself

Abstract

A major use of the 1000 Genomes Project (1000 GP) data is genotype imputation in genome-wide association studies (GWAS). Here we develop a method to estimate haplotypes from low-coverage sequencing data that can take advantage of single-nucleotide polymorphism (SNP) microarray genotypes on the same samples. First the SNP array data are phased to build a backbone (or 'scaffold') of haplotypes across each chromosome. We then phase the sequence data 'onto' this haplotype scaffold. This approach can take advantage of relatedness between sequenced and non-sequenced samples to improve accuracy. We use this method to create a new 1000 GP haplotype reference set for use by the human genetic community. Using a set of validation genotypes at SNP and bi-allelic indels we show that these haplotypes have lower genotype discordance and improved imputation performance into downstream GWAS samples, especially at low-frequency variants.

Indexed as

AlgorithmsGenome, HumanGenome-Wide Association StudyAllelesGene FrequencyHaplotypesHumansMicroarray AnalysisPolymorphism, Single Nucleotide

Identifiers

PMID25653097
PMCPMC4338501

What OpenQuestion holds

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Registered trials

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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.