GENOTYPE COMBINATIONS ANALYSIS BY TRUNCATE WALD’S METHOD TO ESTIMATE THE DISEASE RISK

Authors

  • Валерий Михайлович Кочетков St. Petersburg state Pediatric Medical University, 2, Litovskaya ul., St. Petersburg, 194100, Russian Federation
  • Галина Игоревна Образцова Federal Heart, Blood and endocrinology named aft er V. A. Almazov, 2, ul. Akkuratova, St. Petersburg, 197341, Russian Federation
  • Андрей Сергеевич Глотов Th e Research Institute of Obstetrics, Gynecology and Reproductology named aft er D. O. Ott, 3, Mendeleevskaya line, St. Petersburg, 199034, Russian Federation

Abstract

On basis of candidate genes genotypes choice a method is proposed to reveal the susceptibility to disease. The procedure of decision on a patient belonging to risk group is described. An algorithm of heterogeneity degree evaluation for the tables containing information on genotypes of risk and control groups is considered. Some calculation restrictions of the method and possibilities of its modifi cation for large tables are pointed to. Refs 9. Fig. 1.

Keywords:

arterial hypertension, candidate genes, sequential analysis

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References

Литература

Jiang Gui et al. A robust multifactor dimensionality reduction method for detecting gene-gene interactions with application to the genetic analysis of bladder cancer susceptibility // Ann. Hum. Genet. 2011.Vol. 75(1). Р. 20–28.

Moore J. H, Williams S. M. New strategies for identifying gene-gene interactions in hypertension // Ann. Med. 2002. Vol. 34. P. 88–95.

Motsinger A. A., Ritchie M. D. Multifactor dimensionality reduction: An analysis strategy for modelling and detecting gene — gene interactions in human genetics and pharmacogenomics studies // Human Genomics. 2006. Vol. 2. P. 318–328.

Hahn L. W et al. Multifactor dimensionality reduction soft ware for detecting gene-gene and geneenvironment interactions // Bioinformatics. 2003. Vol. 19. P. 376–382.

Кочетков В. М. и др. Дискриминация генотипов риска методом последовательного анализа Вальда для оценки предрасположенности детей к артериальной гипертензии // Вестн. С.-Петерб. ун-та. Сер. 11. 2015. Вып. 1. С. 35–45.

Xiang W. et al. BOOST: A fast approach to detecting gene-gene interactions in genome-wide casecontrol studies // Am. Journal of Human Genetics. Vol. 87. 2010. P. 325–340.

Айвазян С. А., Мхитарян В. С. Прикладная статистика и основы эконометрики. М.: Юнити,1998. 1008 c.

Goldstein R. B. Chi-square quantiles, Algorithm 451 // Commun. Assoc. Comp. 1973. Vol. 16. P. 483–485.


References

Jiang Gui et al. A robust multifactor dimensionality reduction method for detecting gene-gene interactions with application to the genetic analysis of bladder cancer susceptibility. Ann. Hum. Genet., 2011, vol. 75 (1), pp. 20–28.

Moore J. H, Williams S. M. New strategies for identifying gene-gene interactions in hypertension. Ann. Med., 2002, vol. 34, pp. 88–95.

Motsinger A. A., Ritchie M. D. Multifactor dimensionality reduction: An analysis strategy for modelling and detecting gene — gene interactions in human genetics and pharmacogenomics studies. Human Genomics, 2006, vol. 2, pp. 318–328.

Hahn L. W et al. Multifactor dimensionality reduction soft ware for detecting gene-gene and geneenvironment interactions. Bioinformatics, 2003, vol. 19, pp. 376–382.

Val’d A. Posledovatel’nyj analiz [Sequential analysis]. Moscow, GIFML Publ., 1960. 328 p. (In Russian)

Kochetkov V. M. i dr. Diskriminacija genotipov riska metodom posledovatel’nogo analiza Val’da dlja ocenki predraspolozhennosti detej k arterial’noj gipertenzii [перевод]. Vestnik of Saint-Petersburg University. Ser. 11, 2015, issue 1, pp. 35–45. (In Russian)

Xiang W. et al. BOOST: A fast approach to detecting gene-gene interactions in genome-wide casecontrol studies. Am. Journal of Human Genetics, vol. 87, 2010, pp. 325–340.

Ajvazjan S. A., Mhitarjan V. S. Prikladnaja statistika i osnovy jekonometriki [Applied statistics and econometrics bases]. Moscow, Unity, 1998. 1008 p. (In Russian)

Goldstein R. B. Chi-square quantiles, Algorithm 451. Commun. Assoc. Comp., 1973, vol. 16, pp. 483–485.

Вестник Санкт-Петербургского университета. Медицина

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Published

2019-10-30

How to Cite

Кочетков, В. М., Образцова, Г. И., & Глотов, А. С. (2019). GENOTYPE COMBINATIONS ANALYSIS BY TRUNCATE WALD’S METHOD TO ESTIMATE THE DISEASE RISK. Vestnik of Saint Petersburg University. Medicine, 11(1), 47–59. Retrieved from https://medicine-journal.spbu.ru/article/view/6008

Issue

Vol. 11 No. 1 (2016)

Section

Surgery

License

Articles of "Vestnik of Saint Petersburg University. Medicine" are open access distributed under the terms of the License Agreement with Saint Petersburg State University, which permits to the authors unrestricted distribution and self-archiving free of charge.