Review
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Year 2019, Volume: 5 Issue: 1, 51 - 57, 27.06.2019

Abstract

References

  • [1] W. R. Doerge, “Mapping and analysis of quantitative trait loci in experimental populations,” Nature, vol. 3, pp. 43-52, Jan. 2002. DOI: 10.1038/nrg703
  • [2] D. S. M. Falconer and T. F. C. Mackay, “Quantitative trait loci” in Introduction To Quantitative Genetics, 4th ed., Essex, England, 1996, pp. 356-377.
  • [3] H. Geldermann, “Investigations on inheritance of quantitative characters in animals by gene markers I. methods,” Theoretical and Applied Genetics, vol. 46, no. 7, pp. 319-330, 1975.
  • [4] C.S. Haley and S.A. Knott, “A simple regression method for mapping quantitative trait loci in line crosses using flanking markers,” Heredity, vol. 69, pp. 315-324, 1992.
  • [5] B. İşçi, “Asmada QTL (kantitatif karakter lokus) analizi,” Anadolu (Journal of Aegean Agricultural Research Institute), vol. 18, no. 2, pp. 11-37, 2008.
  • [6] R. C. Jansen, “Interval mapping of multiple quantitative trait loci,” Genetics, vol. 135, pp. 205-211, Sep. 1993.
  • [7] R. C. Jansen, D. L. Johnson and J. A. M. Van Arendonk, “A mixture model approach to the mapping of quantitative trait loci in complex populations with an application to multiple cattle families,” Genetics, vol. 148, pp. 391-399, Jan. 1998.
  • [8] O. Kavuncu, “İstatistik Teorisi ve Teorik Dağılımlar”, Ankara, Turkey, 1995.
  • [9] H. Kozanoğlu and İ. Oğuz, “Importance of DNA markers in animal breeding and genetics,” in II. International Symposium on Molecular Diagnosis and Applications, İzmir, Turkey, May 10-14, 2004, pp. 75-80.
  • [10] E. S. Lander and D. Botstein, “Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps,” Genetics, vol. 121, pp. 185-199, Jan. 1989.
  • [11] E. S. Lander and N. J. Schork, “Genetic dissection of complex traits,” Focus, vol. 4, no. 3, pp. 442–458, 2006.
  • [12] M. Lynch and B. Walsh, “Quantitative trait loci” in Genetics and Analysis of Quantitative Traits. Sunderland, USA, 1998, pp. 319-532.
  • [13] A.O. Maraghi, “A Bayesian generalized linear model approach to quantitative trait loci (QTL) detection of litter size in mice,” Ph.D. dissertation, Dept. Animal Sci., Ankara Univ., Ankara, Turkey, 2011.
  • [14] O. Martinez and R. N. Curnow, “Estimating the locations and the sizes of the effects of quantitative trait loci using flanking markers,” Theoretical and Applied Genetics, vol. 85, pp. 480-488, 1992.
  • [15] K. Mather, “Variation and selection of polygenic characters,” Journal of Genetics, vol. 41, pp. 159-193, 1941.
  • [16] J. A. M. Arendonk and H. Bovenhuis, “Designs and Methods to Detect QTL for Production Traits Based on Mapped Genetic Markers,” Poultry Genetics, Breeding and Biotechnology, W. M. Muir and S. E. Aggrey, Ed., Cambridge, USA, 2003, pp. 439-465.
  • [17] N. Yi and S. Xu, “Designs and Methods to Detect QTL for Production Traits Based on Random Genetic Models,” Poultry Genetics, Breeding and Biotechnology, W. M. Muir and S. E. Aggrey, Ed., Cambridge, USA, 2003, pp. 465-497.
  • [18] K. Sax, “The association of size differences with seed coat pattern and pigmentation in Phaseolus vulgaris,” Genetics, vol. 8, pp. 552-560, 1923.
  • [19] S. Sen and G. A. Churchill, “A statistical framework for quantitative trait mapping,” Genetics, vol. 159, pp. 371-387, Sep. 2001.
  • [20] S. D. Tanksley, “Mapping polygenes,” Annual Review of Genetics, vol. 27, pp. 205-233, 1993.
  • [21] J. M. Thoday, “Location of polygenes,” Nature, vol. 191, pp. 368-370, Jul. 1961.
  • [22] J. I. Weller, “Maximum likelihood techniques for the mapping and analysis of quantitative trait loci with the aid of genetic markers,” Biometrics, vol. 42, no. 3, pp. 627-640, Sep. 1986.
  • [23] J. I. Weller, Y. Kashi and M. Soller, “Power of daughter and granddaughter designs for determining linkage between marker loci and quantitative trait loci in dairy cattle,” Journal of Dairy Science, vol. 73, pp. 2525–2537, 1990.
  • [24] S. Xu, “QTL analysis in plants,” Methods in Molecular Biology: Quantitative Trait Loci: Methods and Protocols, vol. 195, pp. 283-310, 2002.
  • [25] H. E. Yurter, “Gen ekspresyon analizinde microarray teknolojisinin kullanımı,” DEU Tıp Fakültesi Dergisi Özel Sayısı, pp. 41-48, 2001.
  • [26] Z. B. Zeng, “Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci,” Genetics, vol. 90, pp. 10972-10976, Dec. 1993.

QTL Analysis Methods

Year 2019, Volume: 5 Issue: 1, 51 - 57, 27.06.2019

Abstract

In recent years, quantitative
characters have settled to a quite important place among genetic studies. The
inheritance of these traits is usually achieved by multiple gene expression and
by the additive and interactive effects of these genes. Therefore, the analysis
methods used to understand the genetic basis of quantitative traits may be more
complex than those of qualitative traits. The loci on the chromosome at which the
genes controlling the genetic architecture of the quantitative traits are
located are called the quantitative trait loci (QTL). There are different
methods for detecting and analyzing the presence of these loci. In addition, it
is possible to map the QTLs with the help of the molecular markers as a
developing method thanks to today's technology. In this review, the methods of
diagnosing QTL and mapping studies were analyzed.

References

  • [1] W. R. Doerge, “Mapping and analysis of quantitative trait loci in experimental populations,” Nature, vol. 3, pp. 43-52, Jan. 2002. DOI: 10.1038/nrg703
  • [2] D. S. M. Falconer and T. F. C. Mackay, “Quantitative trait loci” in Introduction To Quantitative Genetics, 4th ed., Essex, England, 1996, pp. 356-377.
  • [3] H. Geldermann, “Investigations on inheritance of quantitative characters in animals by gene markers I. methods,” Theoretical and Applied Genetics, vol. 46, no. 7, pp. 319-330, 1975.
  • [4] C.S. Haley and S.A. Knott, “A simple regression method for mapping quantitative trait loci in line crosses using flanking markers,” Heredity, vol. 69, pp. 315-324, 1992.
  • [5] B. İşçi, “Asmada QTL (kantitatif karakter lokus) analizi,” Anadolu (Journal of Aegean Agricultural Research Institute), vol. 18, no. 2, pp. 11-37, 2008.
  • [6] R. C. Jansen, “Interval mapping of multiple quantitative trait loci,” Genetics, vol. 135, pp. 205-211, Sep. 1993.
  • [7] R. C. Jansen, D. L. Johnson and J. A. M. Van Arendonk, “A mixture model approach to the mapping of quantitative trait loci in complex populations with an application to multiple cattle families,” Genetics, vol. 148, pp. 391-399, Jan. 1998.
  • [8] O. Kavuncu, “İstatistik Teorisi ve Teorik Dağılımlar”, Ankara, Turkey, 1995.
  • [9] H. Kozanoğlu and İ. Oğuz, “Importance of DNA markers in animal breeding and genetics,” in II. International Symposium on Molecular Diagnosis and Applications, İzmir, Turkey, May 10-14, 2004, pp. 75-80.
  • [10] E. S. Lander and D. Botstein, “Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps,” Genetics, vol. 121, pp. 185-199, Jan. 1989.
  • [11] E. S. Lander and N. J. Schork, “Genetic dissection of complex traits,” Focus, vol. 4, no. 3, pp. 442–458, 2006.
  • [12] M. Lynch and B. Walsh, “Quantitative trait loci” in Genetics and Analysis of Quantitative Traits. Sunderland, USA, 1998, pp. 319-532.
  • [13] A.O. Maraghi, “A Bayesian generalized linear model approach to quantitative trait loci (QTL) detection of litter size in mice,” Ph.D. dissertation, Dept. Animal Sci., Ankara Univ., Ankara, Turkey, 2011.
  • [14] O. Martinez and R. N. Curnow, “Estimating the locations and the sizes of the effects of quantitative trait loci using flanking markers,” Theoretical and Applied Genetics, vol. 85, pp. 480-488, 1992.
  • [15] K. Mather, “Variation and selection of polygenic characters,” Journal of Genetics, vol. 41, pp. 159-193, 1941.
  • [16] J. A. M. Arendonk and H. Bovenhuis, “Designs and Methods to Detect QTL for Production Traits Based on Mapped Genetic Markers,” Poultry Genetics, Breeding and Biotechnology, W. M. Muir and S. E. Aggrey, Ed., Cambridge, USA, 2003, pp. 439-465.
  • [17] N. Yi and S. Xu, “Designs and Methods to Detect QTL for Production Traits Based on Random Genetic Models,” Poultry Genetics, Breeding and Biotechnology, W. M. Muir and S. E. Aggrey, Ed., Cambridge, USA, 2003, pp. 465-497.
  • [18] K. Sax, “The association of size differences with seed coat pattern and pigmentation in Phaseolus vulgaris,” Genetics, vol. 8, pp. 552-560, 1923.
  • [19] S. Sen and G. A. Churchill, “A statistical framework for quantitative trait mapping,” Genetics, vol. 159, pp. 371-387, Sep. 2001.
  • [20] S. D. Tanksley, “Mapping polygenes,” Annual Review of Genetics, vol. 27, pp. 205-233, 1993.
  • [21] J. M. Thoday, “Location of polygenes,” Nature, vol. 191, pp. 368-370, Jul. 1961.
  • [22] J. I. Weller, “Maximum likelihood techniques for the mapping and analysis of quantitative trait loci with the aid of genetic markers,” Biometrics, vol. 42, no. 3, pp. 627-640, Sep. 1986.
  • [23] J. I. Weller, Y. Kashi and M. Soller, “Power of daughter and granddaughter designs for determining linkage between marker loci and quantitative trait loci in dairy cattle,” Journal of Dairy Science, vol. 73, pp. 2525–2537, 1990.
  • [24] S. Xu, “QTL analysis in plants,” Methods in Molecular Biology: Quantitative Trait Loci: Methods and Protocols, vol. 195, pp. 283-310, 2002.
  • [25] H. E. Yurter, “Gen ekspresyon analizinde microarray teknolojisinin kullanımı,” DEU Tıp Fakültesi Dergisi Özel Sayısı, pp. 41-48, 2001.
  • [26] Z. B. Zeng, “Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci,” Genetics, vol. 90, pp. 10972-10976, Dec. 1993.
There are 26 citations in total.

Details

Primary Language English
Journal Section Research Articles
Authors

Özge Şahin

Orhan Kavuncu

Publication Date June 27, 2019
Submission Date May 13, 2019
Published in Issue Year 2019 Volume: 5 Issue: 1

Cite

APA Şahin, Ö., & Kavuncu, O. (2019). QTL Analysis Methods. Kastamonu University Journal of Engineering and Sciences, 5(1), 51-57.
AMA Şahin Ö, Kavuncu O. QTL Analysis Methods. KUJES. June 2019;5(1):51-57.
Chicago Şahin, Özge, and Orhan Kavuncu. “QTL Analysis Methods”. Kastamonu University Journal of Engineering and Sciences 5, no. 1 (June 2019): 51-57.
EndNote Şahin Ö, Kavuncu O (June 1, 2019) QTL Analysis Methods. Kastamonu University Journal of Engineering and Sciences 5 1 51–57.
IEEE Ö. Şahin and O. Kavuncu, “QTL Analysis Methods”, KUJES, vol. 5, no. 1, pp. 51–57, 2019.
ISNAD Şahin, Özge - Kavuncu, Orhan. “QTL Analysis Methods”. Kastamonu University Journal of Engineering and Sciences 5/1 (June 2019), 51-57.
JAMA Şahin Ö, Kavuncu O. QTL Analysis Methods. KUJES. 2019;5:51–57.
MLA Şahin, Özge and Orhan Kavuncu. “QTL Analysis Methods”. Kastamonu University Journal of Engineering and Sciences, vol. 5, no. 1, 2019, pp. 51-57.
Vancouver Şahin Ö, Kavuncu O. QTL Analysis Methods. KUJES. 2019;5(1):51-7.

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