Evidence map›Paper›PMID 27595709›Full record

ArticleBMC genomics2016

Revealing misassembled segments in the bovine reference genome by high resolution linkage disequilibrium scan.

Adam T H Utsunomiya, Daniel J A Santos, Solomon A Boison, Yuri T Utsunomiya, Marco Milanesi, Derek M Bickhart, Paolo Ajmone-Marsan, Johann Sölkner, José F Garcia, Ricardo da Fonseca and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 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

11 authors.

Adam T H UtsunomiyaFaculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista - UNESP, Campus de Jaboticabal, São Paulo, Brasil. adamtaiti@gmail.com.
Daniel J A SantosFaculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista - UNESP, Campus de Jaboticabal, São Paulo, Brasil.
Solomon A BoisonNofima, Ås, Norway.
Yuri T UtsunomiyaFaculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista - UNESP, Campus de Jaboticabal, São Paulo, Brasil.
Marco MilanesiFaculdade de Medicina Veterinária de Araçatuba, Universidade Estadual Paulista - UNESP, Campus de Araçatuba, São Paulo, Brasil.
Derek M BickhartAnimal Genomics and Improvement Laboratory, ARS, USDA, Beltsville, MD, USA.
Paolo Ajmone-MarsanInstitute of Zootechnics and Biodiversity and Ancient DNA Research Center, Università Cattolica del Sacro Cuore, Piacenza, Italy.
Johann SölknerDepartment of Sustainable Agricultural Systems, Division of Livestock Sciences, BOKU - University of Natural Resources and Life Sciences, Vienna, Austria.
José F GarciaFaculdade de Medicina Veterinária de Araçatuba, Universidade Estadual Paulista - UNESP, Campus de Araçatuba, São Paulo, Brasil.
Ricardo da FonsecaFaculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista - UNESP, Campus de Jaboticabal, São Paulo, Brasil.
Marcos V G B da SilvaEmbrapa Gado de Leite, Juiz de Fora, Minas Gerais, Brasil. marcos.vb.silva@embrapa.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMisassembly signatures, created by shuffling the order of sequences while assembling a genome, can be detected by the unexpected behavior of marker linkage disequilibrium (LD) decay. We developed a heuristic process to identify misassembly signatures, applied it to the bovine reference genome assembly (UMDv3.1) and presented the consequences of misassemblies in two case studies.

resultsWe identified 2,906 single nucleotide polymorphism (SNP) markers presenting unexpected LD decay behavior in 626 putative misassembled contigs, which comprised less than 1 % of the whole genome. Although this represents a small fraction of the reference sequence, these poorly assembled segments can lead to severe implications to local genome context. For instance, we showed that one of the misassembled regions mapped to the POLL locus, which affected the annotation of positional candidate genes in a GWAS case study for polledness in Nellore (Bos indicus beef cattle). Additionally, we found that poorly performing markers in imputation mapped to putative misassembled regions, and that correction of marker positions based on LD was capable to recover imputation accuracy.

conclusionsThis heuristic approach can be useful to cross validate reference assemblies and to filter out markers located at low confidence genomic regions before conducting downstream analyses.

Indexed as

Linkage DisequilibriumAnimalsCattleChromosome MappingComputational BiologyGenomePolymorphism, Single NucleotideQuantitative Trait LociSequence Analysis, DNABos indicusBos taurusGWASImputationLinkage disequilibriumMisassembly

Identifiers

PMID27595709
PMCPMC5011828

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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.