Literature DB >> 24209906

Pathway-based analysis of genomic variation data.

Nir Atias1, Sorin Istrail, Roded Sharan.   

Abstract

A holy grail of genetics is to decipher the mapping from genotype to phenotype. Recent advances in sequencing technologies allow the efficient genotyping of thousands of individuals carrying a particular phenotype in an effort to reveal its genetic determinants. However, the interpretation of these data entails tackling significant statistical and computational problems that stem from the complexity of human phenotypes and the huge genotypic search space. Recently, an alternative pathway-level analysis has been employed to combat these problems. In this review we discuss these developments, describe the challenges involved and outline possible solutions and future directions for improvement.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 24209906     DOI: 10.1016/j.gde.2013.09.002

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  8 in total

1.  FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics.

Authors:  Jianfei Huang; Kai Wang; Peng Wei; Xiangtao Liu; Xiaoming Liu; Kai Tan; Eric Boerwinkle; James B Potash; Shizhong Han
Journal:  Genetics       Date:  2016-01-15       Impact factor: 4.562

2.  Association studies of genomic variants with treatment response to risperidone, clozapine, quetiapine and chlorpromazine in the Chinese Han population.

Authors:  Q Xu; X Wu; M Li; H Huang; C Minica; Z Yi; G Wang; L Shen; Q Xing; Y Shi; L He; S Qin
Journal:  Pharmacogenomics J       Date:  2015-08-18       Impact factor: 3.550

3.  Systems biology and the analysis of genetic variation.

Authors:  Shamil R Sunyaev; Frederick P Roth
Journal:  Curr Opin Genet Dev       Date:  2013-11-28       Impact factor: 5.578

4.  Using network clustering to predict copy number variations associated with health disparities.

Authors:  Yi Jiang; Hong Qin; Li Yang
Journal:  PeerJ       Date:  2015-03-05       Impact factor: 2.984

5.  Gene co-expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS-based study using the Allen Human Brain Atlas.

Authors:  Else Eising; Sjoerd M H Huisman; Ahmed Mahfouz; Lisanne S Vijfhuizen; Verneri Anttila; Bendik S Winsvold; Tobias Kurth; M Arfan Ikram; Tobias Freilinger; Jaakko Kaprio; Dorret I Boomsma; Cornelia M van Duijn; Marjo-Riitta R Järvelin; John-Anker Zwart; Lydia Quaye; David P Strachan; Christian Kubisch; Martin Dichgans; George Davey Smith; Kari Stefansson; Aarno Palotie; Daniel I Chasman; Michel D Ferrari; Gisela M Terwindt; Boukje de Vries; Dale R Nyholt; Boudewijn P F Lelieveldt; Arn M J M van den Maagdenberg; Marcel J T Reinders
Journal:  Hum Genet       Date:  2016-02-22       Impact factor: 4.132

6.  Pathway-based classification of genetic diseases.

Authors:  Ivan Y Iourov; Svetlana G Vorsanova; Yuri B Yurov
Journal:  Mol Cytogenet       Date:  2019-02-04       Impact factor: 2.009

7.  Prioritization of candidate genes in QTL regions based on associations between traits and biological processes.

Authors:  Joachim W Bargsten; Jan-Peter Nap; Gabino F Sanchez-Perez; Aalt D J van Dijk
Journal:  BMC Plant Biol       Date:  2014-12-10       Impact factor: 4.215

8.  Reasoning over genetic variance information in cause-and-effect models of neurodegenerative diseases.

Authors:  Mufassra Naz; Alpha Tom Kodamullil; Martin Hofmann-Apitius
Journal:  Brief Bioinform       Date:  2015-08-05       Impact factor: 11.622

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.