Literature DB >> 18358317

Definition of phenotype.

Mary K Wojczynski1, Hemant K Tiwari.   

Abstract

Definition of the phenotype is crucial in designing any genetic study, especially an association study, intended to detect the disease predisposing genes. In this chapter, we review the different types of phenotypes such as discrete or continuous and discuss the issues impacting on the phenotype definition related to study design, specifically, the impact of diagnostic error (misclassification) in case-control studies and measurement error in continuous traits. We show that the power of a study depends heavily on the phenotype measured and that misclassification or measurement error can dramatically reduce the power. We also suggest some possible responses to these challenges.

Mesh:

Year:  2008        PMID: 18358317     DOI: 10.1016/S0065-2660(07)00404-X

Source DB:  PubMed          Journal:  Adv Genet        ISSN: 0065-2660            Impact factor:   1.944


  21 in total

1.  Importance of multi-modal approaches to effectively identify cataract cases from electronic health records.

Authors:  Peggy L Peissig; Luke V Rasmussen; Richard L Berg; James G Linneman; Catherine A McCarty; Carol Waudby; Lin Chen; Joshua C Denny; Russell A Wilke; Jyotishman Pathak; David Carrell; Abel N Kho; Justin B Starren
Journal:  J Am Med Inform Assoc       Date:  2012 Mar-Apr       Impact factor: 4.497

2.  Impact of phenotype definition on genome-wide association signals: empirical evaluation in human immunodeficiency virus type 1 infection.

Authors:  Evangelos Evangelou; Jacques Fellay; Sara Colombo; Javier Martinez-Picado; Niels Obel; David B Goldstein; Amalio Telenti; John P A Ioannidis
Journal:  Am J Epidemiol       Date:  2011-04-13       Impact factor: 4.897

Review 3.  Validating, augmenting and refining genome-wide association signals.

Authors:  John P A Ioannidis; Gilles Thomas; Mark J Daly
Journal:  Nat Rev Genet       Date:  2009-05       Impact factor: 53.242

4.  Instrumenting the health care enterprise for discovery research in the genomic era.

Authors:  Shawn Murphy; Susanne Churchill; Lynn Bry; Henry Chueh; Scott Weiss; Ross Lazarus; Qing Zeng; Anil Dubey; Vivian Gainer; Michael Mendis; John Glaser; Isaac Kohane
Journal:  Genome Res       Date:  2009-07-14       Impact factor: 9.043

Review 5.  Statistical issues in the analysis of DNA Copy Number Variations.

Authors:  Nathan E Wineinger; Richard E Kennedy; Stephen W Erickson; Mary K Wojczynski; Carl E Bruder; Hemant K Tiwari
Journal:  Int J Comput Biol Drug Des       Date:  2008

6.  Addiction-related genes in gambling disorders: new insights from parallel human and pre-clinical models.

Authors:  D S S Lobo; L Aleksandrova; J Knight; D M Casey; N el-Guebaly; J N Nobrega; J L Kennedy
Journal:  Mol Psychiatry       Date:  2014-09-30       Impact factor: 15.992

7.  Predicting gene phenotype by multi-label multi-class model based on essential functional features.

Authors:  Lei Chen; Zhandong Li; Tao Zeng; Yu-Hang Zhang; Hao Li; Tao Huang; Yu-Dong Cai
Journal:  Mol Genet Genomics       Date:  2021-04-29       Impact factor: 3.291

8.  Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network.

Authors:  Katherine M Newton; Peggy L Peissig; Abel Ngo Kho; Suzette J Bielinski; Richard L Berg; Vidhu Choudhary; Melissa Basford; Christopher G Chute; Iftikhar J Kullo; Rongling Li; Jennifer A Pacheco; Luke V Rasmussen; Leslie Spangler; Joshua C Denny
Journal:  J Am Med Inform Assoc       Date:  2013-03-26       Impact factor: 4.497

9.  Database queries for hospitalizations for acute congestive heart failure: flexible methods and validation based on set theory.

Authors:  Marc Rosenman; Jinghua He; Joel Martin; Kavitha Nutakki; George Eckert; Kathleen Lane; Irmina Gradus-Pizlo; Siu L Hui
Journal:  J Am Med Inform Assoc       Date:  2013-10-10       Impact factor: 4.497

10.  Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies.

Authors:  Anderson M Winkler; Peter Kochunov; John Blangero; Laura Almasy; Karl Zilles; Peter T Fox; Ravindranath Duggirala; David C Glahn
Journal:  Neuroimage       Date:  2009-12-16       Impact factor: 6.556

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