Evidence map›Paper›PMID 35256454›Full record

ArticleGenome research2022

Pan-human consensus genome significantly improves the accuracy of RNA-seq analyses.

Benjamin Kaminow, Sara Ballouz, Jesse Gillis, Alexander Dobin

Abstract read
In one paragraph

Article in Genome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Benjamin KaminowCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Sara BallouzCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Jesse GillisCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.ORCID 0000-0002-0936-9774
Alexander DobinCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.ORCID 0000-0002-4115-9128

Funding

Novel algorithm development, user support and maintenance for STARR01HG009318 · NHGRI · COLD SPRING HARBOR LABORATORY · PI DOBIN, ALEXANDER · 2017 to 2021
$2.4M
Revealing the transcriptomic basis of neuronal identity through functional meta-analysisR01MH113005 · NIMH · COLD SPRING HARBOR LABORATORY · PI GILLIS, JESSE · 2017 to 2021
$2.4M
Heuristics to evaluate biomedical and genomic knowledge bases for validityR01LM012736 · NLM · COLD SPRING HARBOR LABORATORY · PI GILLIS, JESSE · 2017 to 2020
$1.9M
NHGRI NIH HHS R01 HG009318NIMH NIH HHS R01 MH113005NLM NIH HHS R01 LM012736
6 · The paper itself

Abstract

The Human Reference Genome serves as the foundation for modern genomic analyses. However, in its present form, it does not adequately represent the vast genetic diversity of the human population. In this study, we explored the consensus genome as a potential successor of the current reference genome and assessed its effect on the accuracy of RNA-seq read alignment. To find the best haploid genome representation, we constructed consensus genomes at the pan-human, superpopulation, and population levels, using variant information from The 1000 Genomes Project Consortium. Using personal haploid genomes as the ground truth, we compared mapping errors for real RNA-seq reads aligned to the consensus genomes versus the reference genome. For reads overlapping homozygous variants, we found that the mapping error decreased by a factor of approximately two to three when the reference was replaced with the pan-human consensus genome. We also found that using more population-specific consensuses resulted in little to no increase over using the pan-human consensus, suggesting a limit in the utility of incorporating a more specific genomic variation. Replacing the reference with consensus genomes impacts functional analyses, such as differential expressions of isoforms, genes, and splice junctions.

Indexed as

Genome, HumanGenomicsConsensusExome SequencingHumansRNA-Seq

Identifiers

PMID35256454
PMCPMC8997357

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.