Literature DB >> 17047687

A gene-centric approach to genome-wide association studies.

Eric Jorgenson1, John S Witte.   

Abstract

Genic variants are more likely to alter gene function and affect disease risk than those that occur outside genes. Variants in genes, however, might not be sufficiently covered by the existing approaches to genome-wide association studies. Our analysis of the HapMap ENCODE data indicates that this concern is valid, and that an alternative approach that focuses on genic variants provides a more complete coverage of functionally important regions and a greater genotyping efficiency. We therefore argue that resources should be developed to make gene-centric genome-wide association studies feasible.

Mesh:

Year:  2006        PMID: 17047687     DOI: 10.1038/nrg1962

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  47 in total

1.  Genome-wide association studies and beyond.

Authors:  John S Witte
Journal:  Annu Rev Public Health       Date:  2010       Impact factor: 21.981

2.  The meaning of interaction.

Authors:  Xuefeng Wang; Robert C Elston; Xiaofeng Zhu
Journal:  Hum Hered       Date:  2010-12-08       Impact factor: 0.444

Review 3.  Successful design and conduct of genome-wide association studies.

Authors:  Christopher I Amos
Journal:  Hum Mol Genet       Date:  2007-06-27       Impact factor: 6.150

4.  Gene-centric genomewide association study via entropy.

Authors:  Yuehua Cui; Guolian Kang; Kelian Sun; Minping Qian; Roberto Romero; Wenjiang Fu
Journal:  Genetics       Date:  2008-05-05       Impact factor: 4.562

5.  Genome-wide association studies and cancer.

Authors:  Eric Jorgenson; Iona Cheng
Journal:  Hawaii Med J       Date:  2010-10

6.  Genome-wide association studies of hypertension: light at the end of the tunnel.

Authors:  Claire E Hastie; Sandosh Padmanabhan; Anna F Dominiczak
Journal:  Int J Hypertens       Date:  2010-04-29       Impact factor: 2.420

7.  Analysis of gene-gene interactions using gene-trait similarity regression.

Authors:  Xin Wang; Michael P Epstein; Jung-Ying Tzeng
Journal:  Hum Hered       Date:  2014-06-21       Impact factor: 0.444

8.  Whole genome survey of coding SNPs reveals a reproducible pathway determinant of Parkinson disease.

Authors:  Balaji S Srinivasan; Jaleh Doostzadeh; Farnaz Absalan; Sharareh Mohandessi; Roxana Jalili; Saharnaz Bigdeli; Justin Wang; Jaydev Mahadevan; Caroline L G Lee; Ronald W Davis; J William Langston; Mostafa Ronaghi
Journal:  Hum Mutat       Date:  2009-02       Impact factor: 4.878

9.  Novel loci for major depression identified by genome-wide association study of Sequenced Treatment Alternatives to Relieve Depression and meta-analysis of three studies.

Authors:  S I Shyn; J Shi; J B Kraft; J B Potash; J A Knowles; M M Weissman; H A Garriock; J S Yokoyama; P J McGrath; E J Peters; W A Scheftner; W Coryell; W B Lawson; D Jancic; P V Gejman; A R Sanders; P Holmans; S L Slager; D F Levinson; S P Hamilton
Journal:  Mol Psychiatry       Date:  2009-12-29       Impact factor: 15.992

10.  A robust linkage map of the porcine autosomes based on gene-associated SNPs.

Authors:  Rikke K K Vingborg; Vivi R Gregersen; Bujie Zhan; Frank Panitz; Anette Høj; Kirsten K Sørensen; Lone B Madsen; Knud Larsen; Henrik Hornshøj; Xuefei Wang; Christian Bendixen
Journal:  BMC Genomics       Date:  2009-03-27       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.