Literature DB >> 11317353

Variable expressivity and mutation databases: The androgen receptor gene mutations database.

B Gottlieb1, L K Beitel, M A Trifiro.   

Abstract

For over 50 years genetics has presumed that variations in phenotypic expression have, for the most part, been the result of alterations in genotype. The importance and value of mutation databases has been based on the premise that the same gene or allelic variation in a specific gene that has been proven to determine a specific phenotype, will always produce the same phenotype. However, recent evidence has shown that so called "simple" Mendelian disorders or monogenic traits are often far from simple, exhibiting phenotypic variation (variable expressivity) that cannot be explained solely by a gene or allelic alteration. The AR gene mutations database now lists 25 cases where different degrees of androgen insensitivity are caused by identical mutations in the androgen receptor gene. In five of these cases the phenotypic variability is due to somatic mosaicism, that is, somatic mutations that occur in only certain cells of androgen-sensitive tissue. Recently, a number of other cases of variable expressivity have also been linked to somatic mosaicism. The impact of variable expressivity due to somatic mutations and mosaicism on mutation databases is discussed. In particular, the effect of an organism exhibiting genetic heterogeneity within its tissues, and the possibility of an organism's genotype changing over its lifetime, are considered to have important implications for mutation databases in the future. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11317353     DOI: 10.1002/humu.1113

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  4 in total

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3.  Potent anti-proliferative, pro-apoptotic activity of the Maytenus royleanus extract against prostate cancer cells: evidence in in-vitro and in-vivo models.

Authors:  Maria Shabbir; Deeba N Syed; Rahul K Lall; Muhammad Rashid Khan; Hasan Mukhtar
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4.  Predicting puberty in partial androgen insensitivity syndrome: Use of clinical and functional androgen receptor indices.

Authors:  Ngee Lek; Rieko Tadokoro-Cuccaro; Jonathan B Whitchurch; Bismoy Mazumder; Harriet Miles; Philippa Prentice; Trevor Bunch; Karolina Zielińska; Veronika Metzler; Nigel P Mongan; David M Heery; Ieuan A Hughes
Journal:  EBioMedicine       Date:  2018-10-11       Impact factor: 8.143

  4 in total

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