Evidence map›Paper›PMID 26645365›Full record

ArticleBMC genomics2015

Deep sequencing of Danish Holstein dairy cattle for variant detection and insight into potential loss-of-function variants in protein coding genes.

Ashutosh Das, Frank Panitz, Vivi Raundahl Gregersen, Christian Bendixen, Lars-Erik Holm

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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  4. Whole-genome sequencing and genomic analysis of Norduz goat (Capra hircus).Mammalian genome : official journal of the International Mammalian Genome Society · 2023
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  7. Intra-Species Genomic Variation in the Pine PathogenJournal of fungi (Basel, Switzerland) · 2022
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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

5 authors.

Ashutosh DasDepartment of Molecular Biology and Genetics, Aarhus University, DK-8830, Tjele, Denmark. ashutosh.das@mbg.au.dk.
Frank PanitzDepartment of Molecular Biology and Genetics, Aarhus University, DK-8830, Tjele, Denmark. frank.panitz@mbg.au.dk.
Vivi Raundahl GregersenDepartment of Molecular Biology and Genetics, Aarhus University, DK-8830, Tjele, Denmark. vivi.gregersen@mbg.au.dk.
Christian BendixenDepartment of Molecular Biology and Genetics, Aarhus University, DK-8830, Tjele, Denmark. christian.bendixen@mbg.au.dk.
Lars-Erik HolmDepartment of Molecular Biology and Genetics, Aarhus University, DK-8830, Tjele, Denmark. larserik.holm@mbg.au.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the last few years, continuous development of high-throughput sequencing platforms and sequence analysis tools has facilitated reliable identification and characterization of genetic variants in many cattle breeds. Deep sequencing of entire genomes within a cattle breed that has not been thoroughly investigated would be imagined to discover functional variants that are underlying phenotypic differences. Here, we sequenced to a high coverage the Danish Holstein cattle breed to detect and characterize single nucleotide polymorphisms (SNPs), insertion/deletions (Indels), and loss-of-function (LoF) variants in protein-coding genes in order to provide a comprehensive resource for subsequent detection of causal variants for recessive traits.

resultsWe sequenced four genetically unrelated Danish Holstein cows with a mean coverage of 27X using an Illumina Hiseq 2000. Multi-sample SNP calling identified 10,796,794 SNPs and 1,295,036 indels whereof 482,835 (4.5 %) SNPs and 231,359 (17.9 %) indels were novel. A comparison between sequencing-derived SNPs and genotyping from the BovineHD BeadChip revealed a concordance rate of 99.6-99.8 % for homozygous SNPs and 93.3-96.5 % for heterozygous SNPs. Annotation of the SNPs discovered 74,886 SNPs and 1937 indels affecting coding sequences with 2145 being LoF mutations. The frequency of LoF variants differed greatly across the genome, a hot spot with a strikingly high density was observed in a 6 Mb region on BTA18. LoF affected genes were enriched for functional categories related to olfactory reception and underrepresented for genes related to key cellular constituents and cellular and biological process regulation. Filtering using sequence derived genotype data for 288 Holstein animals from the 1000 bull genomes project removing variants containing homozygous individuals retained 345 of the LoF variants as putatively deleterious. A substantial number of the putative deleterious LoF variants had a minor allele frequency >0.05 in the 1000 bull genomes data set.

conclusionsDeep sequencing of Danish Holstein genomes enabled us to identify 12.1 million variants. An investigation into LoF variants discovered a set of variants predicted to disrupt protein-coding genes. This catalog of variants will be a resource for future studies to understand variation underlying important phenotypes, particularly recessively inherited lethal phenotypes.

Indexed as

Genetic VariationHigh-Throughput Nucleotide SequencingOpen Reading FramesAnimalsCattleChromosome MappingComputational BiologyGene FrequencyGenes, RecessiveGenomeGenomicsGenotypeINDEL MutationMolecular Sequence AnnotationPolymorphism, Single NucleotideQuantitative Trait, Heritable

Identifiers

PMID26645365
PMCPMC4673847

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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.