Evidence map›Paper›PMID 29483503›Full record

ArticleNature communications2018

Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes.

Ibrahim Numanagić, Salem Malikić, Michael Ford, Xiang Qin, Lorraine Toji, Milan Radovich, Todd C Skaar, Victoria M Pratt, Bonnie Berger, Steve Scherer and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

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  12. Analysis ofIranian journal of medical sciences · 2025
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11 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

11 authors.

Ibrahim NumanagićSchool of Computing Science, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.ORCID http://orcid.org/0000-0002-2970-7937
Salem MalikićSchool of Computing Science, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.
Michael FordSchool of Computing Science, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.ORCID http://orcid.org/0000-0001-9451-3541
Xiang QinBaylor College of Medicine Human Genome Sequencing Center, Houston, TX, 77030, USA.
Lorraine TojiCoriell Institute for Medical Research, Camden, NJ, 08103, USA.
Milan RadovichIndiana University School of Medicine, Indianapolis, IN, 46202, USA.
Todd C SkaarIndiana University School of Medicine, Indianapolis, IN, 46202, USA.
Victoria M PrattIndiana University School of Medicine, Indianapolis, IN, 46202, USA.
Bonnie BergerComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID http://orcid.org/0000-0002-2724-7228
Steve SchererBaylor College of Medicine Human Genome Sequencing Center, Houston, TX, 77030, USA.
S Cenk SahinalpDepartment of Computer Science, Indiana University, Bloomington, IN, 47405, USA. cenksahi@indiana.edu.

Funding

Pharmacogenetics of Phase II Drug Metabolizing EnzymesU19GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WANG, LIEWEI, WEINSHILBOUM, RICHARD M. · 2010 to 2014
$15.8M
Embedding Pharmacogenotyping in an Integrated Health System for the UnderservedU01HG007762 · NHGRI · INDIANA UNIVERSITY INDIANAPOLIS · PI DEXTER, PAUL, SKAAR, TODD C. · 2014 to 2018
$4.4M
Compressive genomics for large omics data sets: Algorithms applications & toolsR01GM108348 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BERGER, BONNIE · 2013 to 2019
$2.1M
NHGRI NIH HHS U01 HG007762NIGMS NIH HHS R01 GM108348NIGMS NIH HHS U19 GM061388
6 · The paper itself

Abstract

High-throughput sequencing provides the means to determine the allelic decomposition for any gene of interest-the number of copies and the exact sequence content of each copy of a gene. Although many clinically and functionally important genes are highly polymorphic and have undergone structural alterations, no high-throughput sequencing data analysis tool has yet been designed to effectively solve the full allelic decomposition problem. Here we introduce a combinatorial optimization framework that successfully resolves this challenging problem, including for genes with structural alterations. We provide an associated computational tool Aldy that performs allelic decomposition of highly polymorphic, multi-copy genes through using whole or targeted genome sequencing data. For a large diverse sequencing data set, Aldy identifies multiple rare and novel alleles for several important pharmacogenes, significantly improving upon the accuracy and utility of current genotyping assays. As more data sets become available, we expect Aldy to become an essential component of genotyping toolkits.

Indexed as

AllelesGenome, HumanGenotypePolymorphism, GeneticSoftwareChromosome MappingCytochrome P-450 CYP2D6DNA Copy Number VariationsGenotyping TechniquesHigh-Throughput Nucleotide SequencingHumansIsoenzymesPhenotypeSequence Analysis, DNACytochrome P-450 CYP2D6Isoenzymes

Identifiers

PMID29483503
PMCPMC5826927

What OpenQuestion holds

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LicenceCC BY
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.