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Biochemistry & Molecular Biology Journal
ISSN: 2471-8084
Internat i ona l Conference on
Biotechnology, Biomarkers
& Systems Biology
M a r c h 0 4 - 0 5 , 2 0 1 9
Am s t e r d a m , N e t h e r l a n d s
Biotechnology, Biomarkers & Systems Biology 2019
I
t is evident that in etiologies of human complex diseases, genetic factors play
some important roles. Genome-wide association study (GWAS) is a standard
technique to identify heritable genetic basis of complex diseases. In relation
with GWAS, there exist some challenges in selecting input samples completely
randomly, to biologically describe GWAS results, to translate them into
clinical benefits and to compare germ line variants achieved from GWAS with
somatic mutations in creating, development and treatment of human complex
diseases. Likelihood-based statistical methods are robust in estimating linkage
disequilibrium when factors like non-randomness and population structures
exist. Then the results of GWAS can be used for post-GWAS analyses to predict
multiple biological components like genes, non-coding RNAs and transcription
factor binding sites in association with complex diseases. An integrative
analysis seeks to pool information from multiple GWAS results, somatic
mutations and genetic drug targets of human complex disorders and the results
of such analysis can provide new insight into the genetic and treatments of
complex diseases. This presentation is prepared from the viewpoint that the
robust statistical methods can be applied to arrive at valuable results from
GWAS and that primarily genetic information derived from GWAS is subject to
further post-GWAS analysis to provide more biologically informative results in
relation with genetics of human complex diseases that can be applied to real
time clinical applications. Then the results of such analyses can be used to
discuss and compare human cancers and neurodegenerative diseases from
a genetic perspective. We concluded that in spite of the differences between
human cancers and neurodegenerative diseases, the roles of germ line and
somatic mutations in creating, developments and treatments of those two
kinds of human complex diseases are similar.
Biography
Zahra Mortezaei has completed her Undergraduate in
Mathematics from Amirkabir University of technology
(Tehran Polytecnique), Iran and studied for M Phil degree in
Mathematical physics at University of Nottingham (UK). She
then completed her PhD in Bioinformatics at University of
Birmingham (UK) and the University of Tehran (Iran). She is
working as Bioinformatician at human genetic research centre
in Iran.
Zmortezaie@gmail.comEfficient genome-wide association studies and post-
GWAS integrative analyses for human cancer and
neurodegenerative diseases
Zahra Mortezaei
1,2
, Ali Masoudi-Nejad
1
and Mahmood Tavallaei
2
1
LBB-Institute of Biochemistry and Biophysics, University of Tehran, Iran
2
Human Genetic Research Center-University of Medical Sciences, Iran
Zahra Mortezaei et al., Biochem Mol biol J 2019, Volume:5
DOI: 10.21767/2471-8084-C1-023