Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2022, Cilt: 5 Sayı: 3, 234 - 239, 01.07.2022
https://doi.org/10.47115/bsagriculture.1103853

Öz

Kaynakça

  • Abasht B, Lamont SJ. 2007. Genome‐wide association analysis reveals cryptic alleles as an important factor in heterosis for fatness in chicken F2 population. Anim Genet, 38(5): 491-498.
  • Aria M, Cuccurullo C. 2017. bibliometrix: An R-tool for comprehensive science mapping analysis. J Informet, 11(4): 959-975.
  • Bar-Ilan J. 2008. Informetrics at the beginning of the 21st century-A review. J Informetr, 2(1): 1-52.
  • Celik S. 2021. Social network analysis and a model practice. J Orig Stu, 2(1): 29-41.
  • Charlier C, Coppieters W, Rollin F, Desmecht D, Agerholm JS, Cambisano N, Carta E, Dardano S, Dive M, Fasquelle, C, Frennet JC. 2008. Highly effective SNP-based association mapping and management of recessive defects in livestock. Nat Genet, 40(4): 449-54.
  • Ertugrul O, Orman MN, Guneren G. 2002. Some genetic parameters of milk production in the Holstein breed. Turk J Vet Anim Sci, 26: 463-469.
  • Gu X, Feng C, Ma L, Song C, Wang Y, Da Y, Li H, Chen K, Ye S, Ge C, Hu X, Li N. 2011. Genome-wide association study of body weight in chicken F2 resource population. PLoS ONE, 6(7): e21872.
  • Han J, Kang HJ, Kim M, Kwon GH. 2020. Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019). J Biomed Inform, 109: 103516.
  • Hayes B, Goddard M. 2010. Genome-wide association and genomic selection in animal breeding. Genome, 53(11): 876-883.
  • Inci H, Celik S, Sogut B, Sengul T, Karakaya E. 2015. Examining the Effects of Different Feather Color on the Characteristics of Interior and Exterior Egg Quality of Japanese quail by Using Kruskal-Wallis Tests. Turk J Agric Nat Sci, 2 (1): 112–118.
  • Khanzadeh H, Ghavi Hossein-Zadeh N, Ghovvati S. 2020. Genome wide association studies, next generation sequencing and their application in animal breeding and genetics: a review. Iran J Appl Anim Sci, 10(3): 395-404.
  • Klein RJ, Zeiss C, Chew EY, Tsai JY, Sackler RS, Haynes C, Henning AK, San Giovanni JP, Mane SM, Mayne ST, Bracken MB, Ferris FL, Ott J, Barnstable C, Hoh J. 2005. Complement factor H polymorphism in age-related macular degeneration. Science, 308(5720): 385-389.
  • Lipkin E, Mosig MO, Darvasi A, Ezra E, Shalom A, Friedmann A, Soller M. 1988. Quantitative trait locus mapping in dairy cattle by means of selective milk DNA pooling using dinucleotide microsatellite markers: Analysis of milk protein percentage. Genetics, 149: 1557-1567.
  • Long N, Gianola D, Rosa G, Weigel K. 2007. Machine learning classification procedure for selecting SNPs in genomic selection: application to early mortality in broilers. J Anim Breed Genet, 124(6): 377-389.
  • Mansiaux Y, Carrat F. 2012. Contribution of Genome-Wide Association Studies to Scientific Research: A Bibliometric Survey of the Citation Impacts of GWAS and Candidate Gene Studies Published during the Same Period and in the Same Journals. PLoS ONE, 7(12): e51408.
  • Merigó JM, Yang JB. 2017. A bibliometric analysis of operations research and management science. Omega, 73: 37-48.
  • Meuwissen THE, Hayes BJ, Goddard ME. 2001. Prediction of total genetic value using genome-wide dense marker maps. Genetics, 157(4): 1819–1829.
  • R Core Team. 2020. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
  • Schook LB, Beever JE, Rogers J, Humphray S, Archibald A, Chardon P, Milan D, Rohrer G, Eversole K. 2005. Swine Genome Sequencing Consortium (SGSC): A strategic roadmap for sequencing the pig genome. Comp Funct Genomics, 6: 251-255.
  • Sharma A, Lee JS, Dang CG, Sudrajad P, Kim HC, Yeon SH, Kang HS, Lee SH. 2015. Stories and challenges of genome wide association studies in livestock-a review. Asian-Australas J Anim Sci, 28(10): 1371.
  • Smołucha G, Gurgul A, Jasielczuk I, Kawęcka A, Miksza-Cybulska A. 2021. A genome-wide association study for prolificacy in three Polish sheep breeds. J Appl Genet, 62(2): 323-326.
  • Tindall DB, Wellman B. 2001. Canada as social structure: Social network analysis and Canadian sociology. Can J Sociol, 26(3): 265-308.
  • Wellmann R. 2019. Optimum contribution selection for animal breeding and conservation: the R package optiSel. BMC Bioinformat, 20: 25.
  • Zeng P, Zhao Y, Qian C, Zhang L, Zhang R, Gou J, Liu J, Liu L, Chen F. 2015. Statistical analysis for genome-wide association study. J Biomed Res, 29(4): 285-292.
  • Zimin AV, Delcher AL, Florea L, Kelley DR, Schatz MC, Puiu D, Hanrahan F, Pertea G, Van Tassell CP, Sonstegard TS, Marçais G, Roberts M, Subramanian P, Yorke JA, Salzberg SL. 2009. A whole-genome assembly of the domestic cow, Bos taurus. Genom Biol, 10: R42.

Bibliometric Analysis for Genome-Wide Association Studies in Animal Science

Yıl 2022, Cilt: 5 Sayı: 3, 234 - 239, 01.07.2022
https://doi.org/10.47115/bsagriculture.1103853

Öz

The main idea of the study is to determine the trends in recent years in the field of animal science, by examining 379 studies with the term "genome-wide association studies" in the title of the article published within the scope of SCI-Expanded between 2007 and 2021, within the scope of bibliometric analysis. In this context, the term of “Genome-Wide Association Studies” was searched in the Web of Science database in the study titles and the bibliometric data of the studies were accessed in plaintext format. The bibliometric results show that GWAS within animal science is developing steadily as a field of scientific research and is currently a highly topical issue. GWAS has been one of the most popular research areas due to its application in many different fields such as cell biology, plant sciences, zoology, animal science, etc. In the light of this information, it can be listed as an important contribution that GWAS studies with bibliometric analysis are still up-to-date and that the studies to be done will increase their contribution to animal science.

Kaynakça

  • Abasht B, Lamont SJ. 2007. Genome‐wide association analysis reveals cryptic alleles as an important factor in heterosis for fatness in chicken F2 population. Anim Genet, 38(5): 491-498.
  • Aria M, Cuccurullo C. 2017. bibliometrix: An R-tool for comprehensive science mapping analysis. J Informet, 11(4): 959-975.
  • Bar-Ilan J. 2008. Informetrics at the beginning of the 21st century-A review. J Informetr, 2(1): 1-52.
  • Celik S. 2021. Social network analysis and a model practice. J Orig Stu, 2(1): 29-41.
  • Charlier C, Coppieters W, Rollin F, Desmecht D, Agerholm JS, Cambisano N, Carta E, Dardano S, Dive M, Fasquelle, C, Frennet JC. 2008. Highly effective SNP-based association mapping and management of recessive defects in livestock. Nat Genet, 40(4): 449-54.
  • Ertugrul O, Orman MN, Guneren G. 2002. Some genetic parameters of milk production in the Holstein breed. Turk J Vet Anim Sci, 26: 463-469.
  • Gu X, Feng C, Ma L, Song C, Wang Y, Da Y, Li H, Chen K, Ye S, Ge C, Hu X, Li N. 2011. Genome-wide association study of body weight in chicken F2 resource population. PLoS ONE, 6(7): e21872.
  • Han J, Kang HJ, Kim M, Kwon GH. 2020. Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019). J Biomed Inform, 109: 103516.
  • Hayes B, Goddard M. 2010. Genome-wide association and genomic selection in animal breeding. Genome, 53(11): 876-883.
  • Inci H, Celik S, Sogut B, Sengul T, Karakaya E. 2015. Examining the Effects of Different Feather Color on the Characteristics of Interior and Exterior Egg Quality of Japanese quail by Using Kruskal-Wallis Tests. Turk J Agric Nat Sci, 2 (1): 112–118.
  • Khanzadeh H, Ghavi Hossein-Zadeh N, Ghovvati S. 2020. Genome wide association studies, next generation sequencing and their application in animal breeding and genetics: a review. Iran J Appl Anim Sci, 10(3): 395-404.
  • Klein RJ, Zeiss C, Chew EY, Tsai JY, Sackler RS, Haynes C, Henning AK, San Giovanni JP, Mane SM, Mayne ST, Bracken MB, Ferris FL, Ott J, Barnstable C, Hoh J. 2005. Complement factor H polymorphism in age-related macular degeneration. Science, 308(5720): 385-389.
  • Lipkin E, Mosig MO, Darvasi A, Ezra E, Shalom A, Friedmann A, Soller M. 1988. Quantitative trait locus mapping in dairy cattle by means of selective milk DNA pooling using dinucleotide microsatellite markers: Analysis of milk protein percentage. Genetics, 149: 1557-1567.
  • Long N, Gianola D, Rosa G, Weigel K. 2007. Machine learning classification procedure for selecting SNPs in genomic selection: application to early mortality in broilers. J Anim Breed Genet, 124(6): 377-389.
  • Mansiaux Y, Carrat F. 2012. Contribution of Genome-Wide Association Studies to Scientific Research: A Bibliometric Survey of the Citation Impacts of GWAS and Candidate Gene Studies Published during the Same Period and in the Same Journals. PLoS ONE, 7(12): e51408.
  • Merigó JM, Yang JB. 2017. A bibliometric analysis of operations research and management science. Omega, 73: 37-48.
  • Meuwissen THE, Hayes BJ, Goddard ME. 2001. Prediction of total genetic value using genome-wide dense marker maps. Genetics, 157(4): 1819–1829.
  • R Core Team. 2020. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
  • Schook LB, Beever JE, Rogers J, Humphray S, Archibald A, Chardon P, Milan D, Rohrer G, Eversole K. 2005. Swine Genome Sequencing Consortium (SGSC): A strategic roadmap for sequencing the pig genome. Comp Funct Genomics, 6: 251-255.
  • Sharma A, Lee JS, Dang CG, Sudrajad P, Kim HC, Yeon SH, Kang HS, Lee SH. 2015. Stories and challenges of genome wide association studies in livestock-a review. Asian-Australas J Anim Sci, 28(10): 1371.
  • Smołucha G, Gurgul A, Jasielczuk I, Kawęcka A, Miksza-Cybulska A. 2021. A genome-wide association study for prolificacy in three Polish sheep breeds. J Appl Genet, 62(2): 323-326.
  • Tindall DB, Wellman B. 2001. Canada as social structure: Social network analysis and Canadian sociology. Can J Sociol, 26(3): 265-308.
  • Wellmann R. 2019. Optimum contribution selection for animal breeding and conservation: the R package optiSel. BMC Bioinformat, 20: 25.
  • Zeng P, Zhao Y, Qian C, Zhang L, Zhang R, Gou J, Liu J, Liu L, Chen F. 2015. Statistical analysis for genome-wide association study. J Biomed Res, 29(4): 285-292.
  • Zimin AV, Delcher AL, Florea L, Kelley DR, Schatz MC, Puiu D, Hanrahan F, Pertea G, Van Tassell CP, Sonstegard TS, Marçais G, Roberts M, Subramanian P, Yorke JA, Salzberg SL. 2009. A whole-genome assembly of the domestic cow, Bos taurus. Genom Biol, 10: R42.
Toplam 25 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Hayvansal Üretim (Diğer)
Bölüm Research Articles
Yazarlar

Cem Tırınk 0000-0001-6902-5837

Yayımlanma Tarihi 1 Temmuz 2022
Gönderilme Tarihi 15 Nisan 2022
Kabul Tarihi 5 Mayıs 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 5 Sayı: 3

Kaynak Göster

APA Tırınk, C. (2022). Bibliometric Analysis for Genome-Wide Association Studies in Animal Science. Black Sea Journal of Agriculture, 5(3), 234-239. https://doi.org/10.47115/bsagriculture.1103853

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