Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Genome-wide detection of copy-number variations in local cattle breeds

Rosalia Di Gerlando A B , Maria Teresa Sardina A , Marco Tolone A , Anna Maria Sutera A , Salvatore Mastrangelo A and Baldassare Portolano A
+ Author Affiliations
- Author Affiliations

A Dipartimento Scienze Agrarie, Alimentari e Forestali, Ed. 4 Ingr. G, Università degli Studi di Palermo, Viale delle Scienze, Palermo 90128, Italy.

B Corresponding author. Email: rosalia.digerlando@unipa.it

Animal Production Science 59(5) 815-822 https://doi.org/10.1071/AN17603
Submitted: 5 September 2017  Accepted: 28 March 2018   Published: 13 June 2018

Abstract

The aim of the present study was to identify copy-number variations (CNVs) in Cinisara (CIN) and Modicana (MOD) cattle breeds on the basis of signal intensity (logR ratio) and B allele frequency of each marker, using Illumina’s BovineSNP50K Genotyping BeadChip. The CNVs were detected with the PennCNV and SVS 8.7.0 software and were aggregated into CNV regions (CNVRs). PennCNV identified 487 CNVs in CIN that aggregated into 86 CNVRs, and 424 CNVs in MOD that aggregated into 81 CNVRs. SVS identified a total of 207 CNVs in CIN that aggregated into 39 CNVRs, and 181 CNVs in MOD that aggregated into 41 CNVRs. The CNVRs identified with the two softwares contained 29 common CNVRs in CIN and 17 common CNVRs in MOD. Only a small number of CNVRs identified in the present study have been identified elsewhere, probably because of the limitations of the array used. In total, 178 and 208 genes were found within the CNVRs of CIN and MOD respectively. Gene Ontology and KEGG pathway analyses showed that several of these genes are involved in milk production, reproduction and behaviour, the immune response, and resistance/susceptibility to infectious diseases. Our results have provided significant information for the construction of more-complete CNV maps of the bovine genome and offer an important resource for the investigation of genomic changes and traits of interest in the CIN and MOD cattle breeds. Our results will also be valuable for future studies and constitute a preliminary report of the CNV distribution resources in local cattle genomes.

Additional keywords: BovineSNP50K BeadChip, Cinisara, genomic variation, Modicana.


References

Adams DJ, Dermitzakis ET, Cox T, Smith J, Davies R, Banerjee R, Bonfield J, Mullikin JC, Chung YJ, Rogers J, Bradley A (2005) Complex haplotypes, copy number polymorphisms and coding variation in two recently divergent mouse strains. Nature Genetics 37, 532–536.
Complex haplotypes, copy number polymorphisms and coding variation in two recently divergent mouse strains.Crossref | GoogleScholarGoogle Scholar |

Bae JS, Cheong HS, Kim LH, Gung SN, Park TJ, Chun JY, Kim JY, Pasaje CF, Lee JS, Shin HD (2010) Identification of copy number variations and common deletion polymorphisms in cattle. BMC Genomics 11, 232
Identification of copy number variations and common deletion polymorphisms in cattle.Crossref | GoogleScholarGoogle Scholar |

Bagnato A, Strillacci MG, Pellegrino L, Schiavini F, Frigo E, Rossoni A, Fontanesi L, Maltecca C, Prinsen RTMM, Dolezal MA (2015) Identification and validation of copy number variants in Italian Brown Swiss Dairy cattle using Illumina Bovine SNP50 BeadChip. Italian Journal of Animal Science 14, 552–558.
Identification and validation of copy number variants in Italian Brown Swiss Dairy cattle using Illumina Bovine SNP50 BeadChip.Crossref | GoogleScholarGoogle Scholar |

Bagnicka E, Siadkowska E, Strzałkowska N, Żelazowska B, Flisikowski K, Krzyżewski J, Zwierzchowski L (2010) Association of polymorphisms in exons 2 and 10 of the insulin-like growth factor 2 (IGF2) gene with milk production traits in Polish Holstein–Friesian cattle. The Journal of Dairy Research 77, 37–42.
Association of polymorphisms in exons 2 and 10 of the insulin-like growth factor 2 (IGF2) gene with milk production traits in Polish Holstein–Friesian cattle.Crossref | GoogleScholarGoogle Scholar |

Capomaccio S, Milanesi M, Bomba L, Cappelli K, Nicolazzi EL, Williams JL, Ajmone-Marsan P, Stefanon B (2015) Searching new signals for production traits through gene based association analysis in three Italian cattle breeds. Animal Genetics 46, 361–370.
Searching new signals for production traits through gene based association analysis in three Italian cattle breeds.Crossref | GoogleScholarGoogle Scholar |

Clop A, Vidal O, Amills M (2012) Copy number variation in the genome of domestic animals. Animal Genetics 43, 503–517.
Copy number variation in the genome of domestic animals.Crossref | GoogleScholarGoogle Scholar |

Colella S, Yau C, Taylor JM, Mirza G, Butler H, Clouston P, Bassett AS, Seller A, Holmes CC, Ragoussis J (2007) QuantiSNP: an objective Bayes Hidden–Markov model to detect and accurately map copy number variation using SNP genotyping data. Nucleic Acids Research 35, 2013–2025.
QuantiSNP: an objective Bayes Hidden–Markov model to detect and accurately map copy number variation using SNP genotyping data.Crossref | GoogleScholarGoogle Scholar |

Diskin SJ, Li M, Hou C, Yang S, Glessner J, Hakonarson H, Bucan M, Maris JM, Wang K (2008) Adjustment of genomic waves in signal intensities from whole-genome SNP genotyping platforms. Nucleic Acids Research 36, e126
Adjustment of genomic waves in signal intensities from whole-genome SNP genotyping platforms.Crossref | GoogleScholarGoogle Scholar |

dos Santos FC, Peixoto MGCD, de Souza Fonseca PA, Pires MDFÁ, Ventura RV, Rosse IDC, Tomita Bruneli FA, Machado MA, Carvalho MRS (2017) Identification of candidate genes for reactivity in Guzerat (Bos indicus) cattle: a genome-wide association Study. PLoS One 12, e0169163
Identification of candidate genes for reactivity in Guzerat (Bos indicus) cattle: a genome-wide association Study.Crossref | GoogleScholarGoogle Scholar |

Dupuis MC, Zhang Z, Durkin K, Charlier C, Lekeux P, Georges M (2013) Detection of copy number variants in the horse genome and 22 examination of their association with recurrent laryngeal neuropathy. Animal Genetics 44, 206–208.
Detection of copy number variants in the horse genome and 22 examination of their association with recurrent laryngeal neuropathy.Crossref | GoogleScholarGoogle Scholar |

Fadista J, Thomsen B, Holm LE, Bendixen BMC (2010) Copy number variation in the bovine genome. BMC Genomics 11, 284
Copy number variation in the bovine genome.Crossref | GoogleScholarGoogle Scholar |

Flisikowski K, Venhoranta H, Nowacka-Woszuk J, McKay SD, Flyckt A, Taponen J, Schnabel R, Schwarzenbacher H, Szczerbal I, Lohi H, Fries R, Taylor JF, Switonski M, Andersson M (2010) A novel mutation in the maternally imprinted PEG3 domain results in a loss of MIMT1 expression and causes abortions and stillbirths in cattle (Bos taurus). PLoS One 5, e15116
A novel mutation in the maternally imprinted PEG3 domain results in a loss of MIMT1 expression and causes abortions and stillbirths in cattle (Bos taurus).Crossref | GoogleScholarGoogle Scholar |

Fontanesi L, Martelli PL, Beretti F, Riggio V, Dall’Olio S, Colombo M, Casadio R, Russo V, Portolano B (2010) An initial comparative map of copy number variations in the goat (Capra hircus) genome. BMC Genomics 11, 639
An initial comparative map of copy number variations in the goat (Capra hircus) genome.Crossref | GoogleScholarGoogle Scholar |

Fontanesi L, Beretti F, Martelli PL, Colombo M, Dall’Olio S, Occidente M, Portolano B, Casadio R, Matassino D, Russo V (2011) A first comparative map of copy number variations in the sheep genome. Genomics 97, 158–165.
A first comparative map of copy number variations in the sheep genome.Crossref | GoogleScholarGoogle Scholar |

Guryev V, Saar K, Adamovic T, Verheul M, van Heesch SA, Cook S, Pravenec M, Aitman T, Jacob H, Shull JD, Hubner N, Cuppen E (2008) Distribution and functional impact of DNA copy number variation in the rat. Nature Genetics 40, 538–545.
Distribution and functional impact of DNA copy number variation in the rat.Crossref | GoogleScholarGoogle Scholar |

Gutiérrez-Gil B, Arranz JJ, Wiener P (2015) An interpretive review of selective sweep studies in Bos taurus cattle populations: identification of unique and shared selection signals across breeds. Frontiers in Genetics 6, 167
An interpretive review of selective sweep studies in Bos taurus cattle populations: identification of unique and shared selection signals across breeds.Crossref | GoogleScholarGoogle Scholar |

Hou Y, Liu GE, Bickhart DM, Cardone MF, Wang K, Kim E, Matukumalli LK, Ventura M, Song J, VanRaden PM, Sonstegard TS, Van Tassell CP (2011) Genomic characteristics of cattle copy number variations. BMC Genomics 12, 127
Genomic characteristics of cattle copy number variations.Crossref | GoogleScholarGoogle Scholar |

Hou Y, Liu GE, Bickhart DM, Matukumalli LK, Li C, Song J, Gasbarre LC, Van Tassell CP, Sonstegard TS (2012a) Genomic regions showing copy number variations associate with resistance or susceptibility to gastrointestinal nematodes in Angus cattle. Functional & Integrative Genomics 12, 81–92.
Genomic regions showing copy number variations associate with resistance or susceptibility to gastrointestinal nematodes in Angus cattle.Crossref | GoogleScholarGoogle Scholar |

Hou Y, Bickhart DM, Hvinden ML, Li C, Song J, Boichard DA, Fritz S, Eggen A, DeNise S, Wiggans GR, Sonstegard TS, Van Tassell CP, Liu GE (2012b) Fine mapping of copy number variations on two cattle genome assemblies using high density SNP array. BMC Genomics 13, 376
Fine mapping of copy number variations on two cattle genome assemblies using high density SNP array.Crossref | GoogleScholarGoogle Scholar |

Huang W, Maltecca C, Khatib H (2008) A proline to histidine mutation in POU1F1 is associated with production traits in dairy cattle. Animal Genetics 39, 554–557.
A proline to histidine mutation in POU1F1 is associated with production traits in dairy cattle.Crossref | GoogleScholarGoogle Scholar |

Jiang L, Jiang J, Yang J, Liu X, Wang J, Wang H, Ding X, Liu J, Zhang Q (2013) Genome-wide detection of copy number variations using high-density SNP genotyping platforms in Holsteins. BMC Genomics 14, 131
Genome-wide detection of copy number variations using high-density SNP genotyping platforms in Holsteins.Crossref | GoogleScholarGoogle Scholar |

Kadri NK, Sahana G, Charlier C, Iso-Touru T, Guldbrandtsen B, Karim L, Nielsen US, Panitz F, Aamand GP, Schulman N, Georges M, Vilkki J, Lund MS, Druet T (2014) A 660-Kb deletion with antagonistic effects on fertility and milk production segregates at high frequency in Nordic red cattle: additional evidence for the common occurrence of balancing selection in livestock. PLOS Genetics 10, e1004049
A 660-Kb deletion with antagonistic effects on fertility and milk production segregates at high frequency in Nordic red cattle: additional evidence for the common occurrence of balancing selection in livestock.Crossref | GoogleScholarGoogle Scholar |

Kolle G, Georgas K, Holmes GP, Little MH, Yamada T (2000) CRIM1, a novel gene encoding a cysteine-rich repeat protein, is developmentally regulated and implicated in vertebrate CNS development and organogenesis. Mechanisms of Development 90, 181–193.
CRIM1, a novel gene encoding a cysteine-rich repeat protein, is developmentally regulated and implicated in vertebrate CNS development and organogenesis.Crossref | GoogleScholarGoogle Scholar |

Liu GE, Hou Y, Zhu B, Cardone MF, Jiang L, Cellamare A, Mitra A, Alexander LJ, Coutinho LL, Dell’Aquila ME, Gasbarre LC, Lacalandra G, Li RW, Matukumalli LK, Nonneman D, Regitano LC, Smith TP, Song J, Sonstegard TS, Van Tassell CP, Ventura M, Eichler EE, McDaneld TG, Keele JW (2010) Analysis of copy number variations among diverse cattle breeds. Genome Research 20, 693–703.
Analysis of copy number variations among diverse cattle breeds.Crossref | GoogleScholarGoogle Scholar |

Ma Q, Liu X, Pan J, Ma L, Ma Y, He X, Zhao Q, Pu Y, Li Y, Jiang L (2017) Genome-wide detection of copy number variation in Chinese indigenous sheep using an ovine high-density 600 K SNP array. Scientific Reports 7, 912
Genome-wide detection of copy number variation in Chinese indigenous sheep using an ovine high-density 600 K SNP array.Crossref | GoogleScholarGoogle Scholar |

Marenne G, Chanock S, Rothman N, Rodríguez-Santiago B, Rico D, Pita G, Pérez-Jurado L, Valencia A, Jacobs K, Pisano DG, Díaz-Uriarte R, Earl J, García-Closas M, Silverman D, Kogevinas M, Génin E, Real FX, Malats N (2009) CNV assessment from Illumina Infinium 1M platform: agreement according to algorithm and source of DNA. Annals of Human Genetics 73, 658–669.

Mastrangelo S, Saura M, Tolone M, Salces-Ortiz J, Di Gerlando R, Bertolini F, Fontanesi L, Sardina MT, Serrano M, Portolano B (2014) The genome-wide structure of two economically important indigenous Sicilian cattle breeds. Journal of Animal Science 92, 4833–4842.
The genome-wide structure of two economically important indigenous Sicilian cattle breeds.Crossref | GoogleScholarGoogle Scholar |

Matukumalli LK, Lawley CT, Schnabel RD, Taylor JF, Allan MF, Heaton MP, Connell J, Moore SS, Smith TP, Sonstegard TS, Van Tassell CP (2009) Development and 26 characterization of a high density SNP genotyping assay for cattle. PLoS One 4, e5350
Development and 26 characterization of a high density SNP genotyping assay for cattle.Crossref | GoogleScholarGoogle Scholar |

Meredith BK, Berry DP, Kearney F, Finlay EK, Fahey AG, Bradley DG, Lynn DJ (2013) A genome-wide association study for somatic cell score using the Illumina high-density bovine bead chip identifies several novel QTL potentially related to mastitis susceptibility. Frontiers in Genetics 4, 229

Meyers SN, McDaneld TG, Swist SL, Marron BM, Steffen DJ, O’Toole D, O’Connell JR, Beever JE, Sonstegard TS, Smith TPL (2010) A deletion mutation in bovine SLC4A2 is associated with osteoporosis in Red Angus cattle. BMC Genomics 11, 337
A deletion mutation in bovine SLC4A2 is associated with osteoporosis in Red Angus cattle.Crossref | GoogleScholarGoogle Scholar |

Miller SA, Dykes DD, Polesky HF (1988) A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Research 16, 1215
A simple salting out procedure for extracting DNA from human nucleated cells.Crossref | GoogleScholarGoogle Scholar |

Mills RE, Walter K, Stewart C, Handsaker RE, Chen K, Alkan C, Abyzov A, Yoon SC, Ye K, Cheetham RK, Chinwalla A, Conrad DF, Fu Y, Grubert F, Hajirasouliha I, Hormozdiari F, Iakoucheva LM, Iqbal Z, Kang S, Kidd JM, Konkel MK, Korn J, Khurana E, Kural D, Lam HY, Leng J, Li R, Li Y, Lin CY, Luo R, Mu XJ, Nemesh J, Peckham HE, Rausch T, Scally A, Shi X, Stromberg MP, Stütz AM, Urban AE, Walker JA, Wu J, Zhang Y, Zhang ZD, Batzer MA, Ding L, Marth GT, McVean G, Sebat J, Snyder M, Wang J, Ye K, Eichler EE, Gerstein MB, Hurles ME, Lee C, McCarroll SA, Korbel JO, 1000 Genomes Project (2011) Mapping copy number variation by population scale genome sequencing. Nature 470, 59–65.
Mapping copy number variation by population scale genome sequencing.Crossref | GoogleScholarGoogle Scholar |

Nei M, Niimura Y, Nozawa M (2008) The evolution of animal chemosensory receptor gene repertoires: roles of chance and necessity. Nature Reviews Genetics 9, 951–963.
The evolution of animal chemosensory receptor gene repertoires: roles of chance and necessity.Crossref | GoogleScholarGoogle Scholar |

Park SY, Yun Y, Kim MJ, Kim IS (2014) Myogenin is a positive regulator of MEGF10 expression in skeletal muscle. Biochemical and Biophysical Research Communications 450, 1631–1637.
Myogenin is a positive regulator of MEGF10 expression in skeletal muscle.Crossref | GoogleScholarGoogle Scholar |

Perry GH, Yang F, Marques-Bonet T, Murphy C, Fitzgerald T, Lee AS, Hyland C, Stone AC, Hurles ME, Tyler-Smith C, Eichler EE, Carter NP, Lee C, Redon R (2008) Copy number variation and evolution in humans and chimpanzees. Genome Research 18, 1698–1710.
Copy number variation and evolution in humans and chimpanzees.Crossref | GoogleScholarGoogle Scholar |

Pinto D, Darvishi K, Shi X, Rajan D, Rigler D, Fitzgerald T, Lionel AC, Thiruvahindrapuram B, Macdonald JR, Mills R, Prasad A, Noonan K, Gribble S, Prigmore E, Donahoe PK, Smith RS, Park JH, Hurles ME, Carter NP, Lee C, Scherer SW, Feuk L (2011) Comprehensive assessment of array-based platforms and calling algorithms for detection of copy number variants. Nature Biotechnology 29, 512–520.
Comprehensive assessment of array-based platforms and calling algorithms for detection of copy number variants.Crossref | GoogleScholarGoogle Scholar |

Prinsen RTMM, Strillacci MG, Schiavini F, Santus E, Rossoni A, Maurer V, Bieber A, Gredler B, Dolezal M, Bagnato A (2016) A genome-wide scan of copy number variants using high-density SNPs in Brown Swiss dairy cattle. Livestock Science 191, 153–160.
A genome-wide scan of copy number variants using high-density SNPs in Brown Swiss dairy cattle.Crossref | GoogleScholarGoogle Scholar |

Qanbari S, Pausch H, Jansen S, Somel M, Strom TM, Fries R, Nielsen R, Simianer H (2014) Classic selective sweeps revealed by massive sequencing in cattle. PLOS Genetics 10, e1004148
Classic selective sweeps revealed by massive sequencing in cattle.Crossref | GoogleScholarGoogle Scholar |

Quinlan AR, Hall IM (2010) BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26, 841–842.
BEDTools: a flexible suite of utilities for comparing genomic features.Crossref | GoogleScholarGoogle Scholar |

Rau JC, Beaulieu LM, Huntington JA, Church FC (2007) Serpins in thrombosis, hemostasis and fibrinolysis. Journal of Thrombosis and Haemostasis 5, 102–115.
Serpins in thrombosis, hemostasis and fibrinolysis.Crossref | GoogleScholarGoogle Scholar |

Redon R, Ishikawa S, Fitch KR, Feuk L, Perry GH, Andrews TD, Fiegler H, Shapero MH, Carson AR, Chen W, Cho EK, Dallaire S, Freeman JL, González JR, Gratacòs M, Huang J, Kalaitzopoulos D, Komura D, MacDonald JR, Marshall CR, Mei R, Montgomery L, Nishimura K, Okamura K, Shen F, Somerville MJ, Tchinda J, Valsesia A, Woodwark C, Yang F, Zhang J, Zerjal T, Zhang J, Armengol L, Conrad DF, Estivill X, Tyler-Smith C, Carter NP, Aburatani H, Lee C, Jones KW, Scherer SW, Hurles ME (2006) Global variation in copy number in the human genome. Nature 444, 444–454.
Global variation in copy number in the human genome.Crossref | GoogleScholarGoogle Scholar |

Salleh MS, Mazzoni G, Höglund JK, Olijhoek DW, Lund P, Løvendahl P, Kadarmideen HN (2017) RNA-Seq transcriptomics and pathway analyses reveal potential regulatory genes and molecular mechanisms in high-and low-residual feed intake in Nordic dairy cattle. BMC Genomics 18, 258
RNA-Seq transcriptomics and pathway analyses reveal potential regulatory genes and molecular mechanisms in high-and low-residual feed intake in Nordic dairy cattle.Crossref | GoogleScholarGoogle Scholar |

Salomón-Torres R, González-Vizcarra VM, Medina-Basulto GE, Montaño-Gómez MF, Mahadevan P, Yaurima-Basaldúa VH, Villa-Angulo C, Villa-Angulo R (2015) Genome-wide identification of copy number variations in Holstein cattle from Baja California, Mexico, using high-density SNP genotyping arrays. Genetics and Molecular Research 14, 11848–11859.
Genome-wide identification of copy number variations in Holstein cattle from Baja California, Mexico, using high-density SNP genotyping arrays.Crossref | GoogleScholarGoogle Scholar |

Seroussi E, Glick G, Shirak A, Yakobson E, Weller JI, Ezra E, Zeron Y (2010) Analysis of copy loss and gain variations in Holstein cattle autosomes using BeadChip SNPs. BMC Genomics 11, 673
Analysis of copy loss and gain variations in Holstein cattle autosomes using BeadChip SNPs.Crossref | GoogleScholarGoogle Scholar |

Silverman GA, Bird PI, Carrell RW, Church FC, Coughlin PB, Gettins PG, Irving JA, Lomas DA, Luke CJ, Moyer RW, Pemberton PA, Remold-O’Donnell E, Salvesen GS, Travis J, Whisstock JC (2001) The serpins are an expanding superfamily of structurally similar but functionally diverse proteins: evolution, mechanism of inhibition, novel functions, and a revised nomenclature. The Journal of Biological Chemistry 276, 33293–33296.
The serpins are an expanding superfamily of structurally similar but functionally diverse proteins: evolution, mechanism of inhibition, novel functions, and a revised nomenclature.Crossref | GoogleScholarGoogle Scholar |

Sonstegard TS, Barendse W, Bennett GL, Brockmann GA, Davis S, Droegemuller C, Kalm E, Kappes SM, Kühn C, Li Y, Schwerin M, Taylor J, Thomsen H, Van Tassell CP, Yeh CC (2001) Consensus and comprehensive linkage maps of the bovine sex chromosomes. Animal Genetics 32, 115–117.
Consensus and comprehensive linkage maps of the bovine sex chromosomes.Crossref | GoogleScholarGoogle Scholar |

Taye M, Lee W, Jeon S, Yoon J, Dessie T, Hanotte O, Mwai OA, Kemp S, Cho S, Jong Oh S, Lee HK, Kim H (2017) Exploring evidence of positive selection signatures in cattle breeds selected for different traits. Mammalian Genome 28, 528–541.

Wain LV, Armour JA, Tobin MD (2009) Genomic copy number variation, human health, and disease. Lancet 374, 340–350.
Genomic copy number variation, human health, and disease.Crossref | GoogleScholarGoogle Scholar |

Wang K, Li M, Hadley D, Liu R, Glessner J, Grant SF, Hakonarson H, Bucan M (2007) PennCNV: an integrated hidden Markov model designed for highresolution copy number variation detection in whole-genome SNP genotyping data. Genome Research 17, 1665–1674.
PennCNV: an integrated hidden Markov model designed for highresolution copy number variation detection in whole-genome SNP genotyping data.Crossref | GoogleScholarGoogle Scholar |

Wang H, Jiang L, Liu X, Yang J, Wei J, Xu J, Zhang Q, Liu JF (2013) A post-GWAS replication study confirming the PTK2 gene associated with milk production traits in Chinese Holstein. PLoS One 8, e83625
A post-GWAS replication study confirming the PTK2 gene associated with milk production traits in Chinese Holstein.Crossref | GoogleScholarGoogle Scholar |

Widmann P, Reverter A, Fortes MRS, Weikard R, Suhre K, Hammon H, Albrecht E, Kuehn C (2013) A systems biology approach using metabolomic data reveals genes and pathways interacting to modulate divergent growth in cattle. BMC Genomics 14, 798
A systems biology approach using metabolomic data reveals genes and pathways interacting to modulate divergent growth in cattle.Crossref | GoogleScholarGoogle Scholar |

Winchester L, Yau C, Ragoussis J (2009) Comparing CNV detection methods for SNP arrays. Briefings in Functional Genomics 8, 353–366.
Comparing CNV detection methods for SNP arrays.Crossref | GoogleScholarGoogle Scholar |

Xu L, Hou Y, Bickhart DM, Song J, Liu GE (2013) Comparative analysis of CNV calling algorithms: literature survey and a case study using bovine high-density SNP data. Microarrays (Basel, Switzerland) 2, 171–185.
Comparative analysis of CNV calling algorithms: literature survey and a case study using bovine high-density SNP data.Crossref | GoogleScholarGoogle Scholar |

Xu L, Cole JB, Bickhart DM, Hou Y, Song J, VanRaden PM, Sonstegard TS, Van Tassell CP, Liu GE (2014) Genome wide CNV analysis reveals additional variants associated with milk production traits in Holsteins. BMC Genomics 15, 683
Genome wide CNV analysis reveals additional variants associated with milk production traits in Holsteins.Crossref | GoogleScholarGoogle Scholar |

Xu J, Li J, Wang H, Wang G, Chen J, Huang P, Cheng J, Gan L, Wang Z, Cai Y (2015) A novel SMAD family protein, SMAD9 is involved in follicular initiation and changes egg yield of geese via synonymous mutations in exon1 and intron2. Molecular Biology Reports 42, 289–302.
A novel SMAD family protein, SMAD9 is involved in follicular initiation and changes egg yield of geese via synonymous mutations in exon1 and intron2.Crossref | GoogleScholarGoogle Scholar |

Yavaş G, Koyuturk M, Ozsoyoglu M, Gould MP, LaFramboise T (2009) An optimization framework for unsupervised identification of rare copy number variation from SNP array data. Genome Biology 10, R119
An optimization framework for unsupervised identification of rare copy number variation from SNP array data.Crossref | GoogleScholarGoogle Scholar |

Zaitoun I, Khatib H (2006) Assessment of genomic imprinting of SLC38A4, NNAT, NAP1L5, and H19 in cattle. BMC Genetics 7, 49
Assessment of genomic imprinting of SLC38A4, NNAT, NAP1L5, and H19 in cattle.Crossref | GoogleScholarGoogle Scholar |