Quantitative Genetic Methods for Complex Traits – A perspective from R software point of view

Jayasankar, J (2023) Quantitative Genetic Methods for Complex Traits – A perspective from R software point of view. In: Training Manual on Statistical Designs and Analytical Methods for Multifactor Experiments. ICAR- Central Marine Fisheries Research Institute, Kochi, pp. 333-345.

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Abstract

Traditional approach delineates the genetic analysis of quantitative or complex traits had been dependent upon statistically defined attributes like genetic variances and heritability. The approach’s probable origin can be traced to the rediscovery of Mendelian theory. The key in that approach had been the postulation that traits could be continuously distributed while still ensuring a proportion of particulate inheritance. The basic dependence on the statistical base of the inheritance which can be quantified had led to an interesting chimerical area in statistics, statistical genetics. Although many of the levels and scales of traits being originally considered amenable for the type of statistical manouevres aimed at ranking or rating genetic performance of individuals have got zoomed in the modern era, the basics of the analytical procedures followed are still the same. Many of the principles and ideas developed can also be used to include pedigree and phenotypic data on all complex traits, such as discrete value traits describing presence or absence of diseases that do not express the Mendelian phenomenon but may be described by a threshold model or continuous traits such as survival time that do not have Gaussian distributions. Recent research has provided noth direct and indirect evidences of the location and effects of individual loci affecting quantitative traits and for a limited number of loci, knowledge of causative change in the DNA. But there have been new types of problems too. The prominent being the inability to disentangle the effects of closely linked genes through limitations in data and following the metabolic trail from a base substitution to change in trait etc. The rapid strides made in the domain of ‘-omics’ has provided more opportunities and fuel to progress. Quantitative genetic understanding and applications are also being informed by progress in analysis, interpretation and utilization of solely phenotypic data, facilitated by developments in statistical methods and computing power and by the availability of pedigree information in natural populations from long term records or genetic markers. Hence the type of approaches and methodologies crystallised under the following broad categories have been holding the key for furthering research interest in the study of complex traits.

Item Type:	Book Section
Uncontrolled Keywords:	R Software
Subjects:	Statistical Designs
Divisions:	CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division
Depositing User:	Arun Surendran
Date Deposited:	14 Sep 2023 05:41
Last Modified:	15 Sep 2023 05:47
URI:	http://eprints.cmfri.org.in/id/eprint/17462

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