Evidence map›Paper›PMID 27089393›Full record

ArticleNature communications2016

A uniform survey of allele-specific binding and expression over 1000-Genomes-Project individuals.

Jieming Chen, Joel Rozowsky, Timur R Galeev, Arif Harmanci, Robert Kitchen, Jason Bedford, Alexej Abyzov, Yong Kong, Lynne Regan, Mark Gerstein

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
–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

63 citing papers in PubMed.

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  17. Single-cell genomics and regulatory networks for 388 human brains.bioRxiv : the preprint server for biology · 2024
    Article
  18. Article
  19. Article
  20. Article

3 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

10 authors.

Jieming ChenProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA.
Joel RozowskyProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA.
Timur R GaleevProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA.
Arif HarmanciProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA.
Robert KitchenProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA.
Jason BedfordProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA.ORCID http://orcid.org/0000-0001-6574-4578
Alexej AbyzovProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA.
Yong KongDepartment of Computer Science, Yale University, New Haven, Connecticut, 06520, USA.ORCID http://orcid.org/0000-0002-2881-5274
Lynne ReganProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA.
Mark GersteinProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA.

Funding

Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI DAVID L RIMM · 1985 to 2026
$85.0M
NCI NIH HHS P30 CA016359
6 · The paper itself

Abstract

Large-scale sequencing in the 1000 Genomes Project has revealed multitudes of single nucleotide variants (SNVs). Here, we provide insights into the functional effect of these variants using allele-specific behaviour. This can be assessed for an individual by mapping ChIP-seq and RNA-seq reads to a personal genome, and then measuring 'allelic imbalances' between the numbers of reads mapped to the paternal and maternal chromosomes. We annotate variants associated with allele-specific binding and expression in 382 individuals by uniformly processing 1,263 functional genomics data sets, developing approaches to reduce the heterogeneity between data sets due to overdispersion and mapping bias. Since many allelic variants are rare, aggregation across multiple individuals is necessary to identify broadly applicable 'allelic elements'. We also found SNVs for which we can anticipate allelic imbalance from the disruption of a binding motif. Our results serve as an allele-specific annotation for the 1000 Genomes variant catalogue and are distributed as an online resource (alleledb.gersteinlab.org).

Indexed as

Polymorphism, Single NucleotideAlgorithmsBinding SitesChromosome MappingComputational BiologyDatabases, GeneticGene ExpressionGene FrequencyGenome, HumanGenomicsGenotypeHigh-Throughput Nucleotide SequencingHuman Genome ProjectHumansInternetMolecular Sequence Annotation

Identifiers

PMID27089393
PMCPMC4837449

What OpenQuestion holds

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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.