Literature DB >> 17984540

Linkage disequilibrium mapping for complex disease genes.

Andrew DeWan1, Robert J Klein, Josephine Hoh.   

Abstract

In this chapter we lay out some background information about gene mapping for human complex traits. The chapter covers issues such as study design, high-throughput genotyping technologies, statistical analysis, and others. Many of the materials are based on and related to our recent experiences in case-control-association studies.

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Year:  2007        PMID: 17984540     DOI: 10.1007/978-1-59745-389-9_7

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies.

Authors:  Raphaël Mourad; Christine Sinoquet; Philippe Leray
Journal:  BMC Bioinformatics       Date:  2011-01-12       Impact factor: 3.169

Review 2.  Candidate genes and their interactions with other genetic/environmental risk factors in the etiology of schizophrenia.

Authors:  K M Prasad; M E Talkowski; K V Chowdari; L McClain; R H Yolken; V L Nimgaonkar
Journal:  Brain Res Bull       Date:  2009-09-01       Impact factor: 4.077

3.  A method combining a random forest-based technique with the modeling of linkage disequilibrium through latent variables, to run multilocus genome-wide association studies.

Authors:  Christine Sinoquet
Journal:  BMC Bioinformatics       Date:  2018-03-27       Impact factor: 3.169

  3 in total

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