Literature DB >> 2683776

Pleiotropy revisited: molecular explanations of a classic concept.

R E Pyeritz1.   

Abstract

As commonly used, pleiotropy refers to multiple effects on phenotype of a single mutant gene. The importance of this concept to medical genetics has waxed and waned since its formulation soon after the rediscovery of Mendel's laws. Initially, the view that all aspects of a phenotype, and hence all manifestations of a mendelian syndrome, derive from a single function (or dysfunction) of a mutant allele gained ascendancy. Support for the importance of pleiotropy gradually diminished, and reached a low point in the 1940s with the one gene-one enzyme hypothesis. Studies of mammals and humans with heritable disorders of connective tissue sustained the notion that "genuine" pleiotropy probably did not exist. However, the demise of the relevance of pleiotropy was premature. Detailed understanding of gene organization, expression, and mutation indicates several mechanisms, such as multifunctional proteins, alternative splicing of messenger RNA, and overlapping coding sequences, through which genuine pleiotropy likely occurs in normal development and function, in mendelian syndromes, and in conditions due to somatic mutation. Furthermore, a broad definition of pleiotropy is warranted to subsume syndromes caused by abnormal function of contiguous genes, such as through large deletions, mutation of regulatory elements that coordinate expression, or less clearly understood "position effects." Thus, the use of pleiotropy in the context of aneuploidy syndromes is not inappropriate.

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Year:  1989        PMID: 2683776     DOI: 10.1002/ajmg.1320340120

Source DB:  PubMed          Journal:  Am J Med Genet        ISSN: 0148-7299


  9 in total

Review 1.  One hundred years of pleiotropy: a retrospective.

Authors:  Frank W Stearns
Journal:  Genetics       Date:  2010-11       Impact factor: 4.562

2.  PRIMe: a method for characterization and evaluation of pleiotropic regions from multiple genome-wide association studies.

Authors:  Jie Huang; Andrew D Johnson; Christopher J O'Donnell
Journal:  Bioinformatics       Date:  2011-03-12       Impact factor: 6.937

3.  An Analytic Solution to the Computation of Power and Sample Size for Genetic Association Studies under a Pleiotropic Mode of Inheritance.

Authors:  Derek Gordon; Douglas Londono; Payal Patel; Wonkuk Kim; Stephen J Finch; Gary A Heiman
Journal:  Hum Hered       Date:  2017-03-18       Impact factor: 0.444

4.  The many faces of pleiotropy.

Authors:  Annalise B Paaby; Matthew V Rockman
Journal:  Trends Genet       Date:  2012-11-07       Impact factor: 11.639

Review 5.  Network biology concepts in complex disease comorbidities.

Authors:  Jessica Xin Hu; Cecilia Engel Thomas; Søren Brunak
Journal:  Nat Rev Genet       Date:  2016-08-08       Impact factor: 53.242

6.  Evolution of pleiotropy: epistatic interaction pattern supports a mechanistic model underlying variation in genotype-phenotype map.

Authors:  Mihaela Pavlicev; Elizabeth A Norgard; Gloria L Fawcett; James M Cheverud
Journal:  J Exp Zool B Mol Dev Evol       Date:  2011-04-01       Impact factor: 2.656

7.  Shadows of complexity: what biological networks reveal about epistasis and pleiotropy.

Authors:  Anna L Tyler; Folkert W Asselbergs; Scott M Williams; Jason H Moore
Journal:  Bioessays       Date:  2009-02       Impact factor: 4.345

8.  Pleiotropy of the Drosophila melanogaster foraging gene on larval feeding-related traits.

Authors:  A M Allen; I Anreiter; A Vesterberg; S J Douglas; M B Sokolowski
Journal:  J Neurogenet       Date:  2018-10-10       Impact factor: 1.250

Review 9.  Mendelian randomization: genetic anchors for causal inference in epidemiological studies.

Authors:  George Davey Smith; Gibran Hemani
Journal:  Hum Mol Genet       Date:  2014-07-04       Impact factor: 6.150

  9 in total

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