Evidence map›Paper›PMID 29514179›Full record

ArticleBioinformatics (Oxford, England)2018

AltHapAlignR: improved accuracy of RNA-seq analyses through the use of alternative haplotypes.

Wanseon Lee, Katharine Plant, Peter Humburg, Julian C Knight

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  6. Review
  7. Article
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  9. Article
  10. An immunogenetic view of COVID-19.Genetics and molecular biology · 2021
    Article
  11. Pangenome Graphs.Annual review of genomics and human genetics · 2020
    Review
  12. Article
  13. Article
  14. Article
  15. Article
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.

Wanseon LeeWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Katharine PlantWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Peter HumburgWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Julian C KnightWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.

Funding

Arthritis Research UK 20773Medical Research Council 98082Medical Research Council G1001708Versus Arthritis 20773Wellcome TrustWellcome Trust 090532/Z/09/ZWellcome Trust 204969/Z/16/Z
6 · The paper itself

Abstract

Motivation: Reliance on mapping to a single reference haplotype currently limits accurate estimation of allele or haplotype-specific expression using RNA-sequencing, notably in highly polymorphic regions such as the major histocompatibility complex. Results: We present AltHapAlignR, a method incorporating alternate reference haplotypes to generate gene- and haplotype-level estimates of transcript abundance for any genomic region where such information is available. We validate using simulated and experimental data to quantify input allelic ratios for major histocompatibility complex haplotypes, demonstrating significantly improved correlation with ground truth estimates of gene counts compared to standard single reference mapping. We apply AltHapAlignR to RNA-seq data from 462 individuals, showing how significant underestimation of expression of the majority of classical human leukocyte antigen genes using conventional mapping can be corrected using AltHapAlignR to allow more accurate quantification of gene expression for individual alleles and haplotypes. Availability and implementation: Source code freely available at https://github.com/jknightlab/AltHapAlignR. Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

Gene ExpressionHaplotypesSoftwareAllelesGene Expression ProfilingHumansLeukocyte Common AntigensRNASequence Analysis, RNALeukocyte Common AntigensRNA

Identifiers

PMID29514179
PMCPMC6041798

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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.