CIVILICA We Respect the Science
Publisher of Iranian Journals and Conference Proceedings

New approach to genetic of complex multifactorial disorder and traits

Credit to Download: 0 | Page Numbers 1 | Abstract Views: 473
Year: 2014
COI code: CIGS13_0769
Paper Language: English

How to Download This Paper

For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.

Authors New approach to genetic of complex multifactorial disorder and traits

  Maryam Sadat daneshpour - Cellular & Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Mohammad Sadegh Fallah - Kawsar Human Genetics Research Center (KHGRC), Tehran, Iran


The study of the genetics of complex traits is made complicated by the fact that the traits themselves are influenced by interplay of many genes with many environmental factors. In this lecture we will talk about the concept of quantitative genetic that include additive variance and heritability.A phenotype with known or suspected genetic involvement that does not conform to classical mendelian inheritance is generally described as a complex genetic trait. In truth, all genetic traits are complex because identical phenotypes among individuals carrying identical alleles at a given locus arerare or nonexistent, due to a number of causes including incomplete penetrance, genetic heterogeneity, and most often, a genetic background consisting of multiple genes modifying the phenotype with minor effects. Generally, however, we reserve the term complex for phenotypes that are influenced bymultiple genes (polygenic) as well as environmental factors. Many of the traits important to animal agriculturefall into this class and are described quantitatively rather than qualitatively. Complex traits also include phenotypes that are discrete but are only expressed when the effects of multiple genesand/or environmental factors achieve a minimal threshold. With molecular genetic markers, such as SNPs, it is possible to test whether there are differences in the measured phenotype among the genotypes at the genetic marker. Many interesting challenge arisewhen such a test is expanded to one million markers spanning the entire chromosome, a design known as genome-wide association study. Complication due to population stratification, admixture, genotype x environment interaction, epistasis and rare allele all considered. Methods that test association by useof excess of allele sharing in sibling or other relatives, or by excess cotransmission of alleles and disease state were their own set of advantages and disadvantages. We want to explore of why some considerations of why the powerful methods nevertheless leave much of the genetic variance incomplex trait unexplained. The recent discovery of the common variation of genomes from different human populations and theavailability of technical platforms for massive and low cost genotyping of hundreds of thousands of polymorphic markers in very large number of samples has made genome wide association studies (GWAS) possible for numerous human complex multifactorial phenotypes. The latter are complextraits, which are influenced by distinct combinations of multiple genetic and nongenetic factors,contributing together to a graded phenotype. GWAS were successful in identifying low risk alleles in candidate genes or loci. More importantly, these studies disclosed unexpected molecular pathways for different common, multifactorial disorders and traits.


Multifactorial disorder, genetic marker, genome wide association studies

Perma Link
COI code: CIGS13_0769

how to cite to this paper:

If you want to refer to this article in your research, you can easily use the following in the resources and references section:
daneshpour, Maryam Sadat & Mohammad Sadegh Fallah, 2014, New approach to genetic of complex multifactorial disorder and traits, 12th Congress of Iranian Genetics Society, تهران, انجمن ژنتيك ايران, the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (daneshpour, Maryam Sadat & Mohammad Sadegh Fallah, 2014)
Second and more: (daneshpour & Fallah, 2014)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)


The University/Research Center Information:
Type: state university
Paper No.: 16753
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.

Research Info Management

Export Citation info of this paper to research management softwares

New Related Papers

Iran Scientific Advertisment Netword

Share this paper


COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.