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Back mutation can produce phenotype reversion in Bloom syndrome somatic cells

Overview of attention for article published in Human Genetics, February 2001
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25 Mendeley
Title
Back mutation can produce phenotype reversion in Bloom syndrome somatic cells
Published in
Human Genetics, February 2001
DOI 10.1007/s004390000447
Pubmed ID
Authors

Nathan Ellis, Susan Ciocci, James German

Abstract

A unique and constant feature of Bloom syndrome (BS) cells is an excessive rate of sister-chromatid exchange (SCE). However, in approximately 20% of persons with typical BS, mosaicism is observed in which a proportion of lymphocytes (usually a small one) exhibits a low-SCE rate. Persons with such mosaicism predominantly are genetic compounds for mutation at BLM, and the low-SCE lymphocytes are the progeny of a precursor cell in which intragenic recombination between the two sites of BLM mutation had generated a normal allele. Very exceptionally, however, persons with BS who exhibit mosaicism are homozygous for the causative mutation. In two such exceptional homozygous persons studied here, back mutation has been demonstrated: one person constitutionally was homozygous for the mutation 1544insA and the other for the mutation 2702G-->A. Revertant (low-SCE) lymphoblastoid cells in each person were heterozygous for their mutations, i.e., a normal allele was now present. The normal alleles must have arisen by back mutation in a precursor cell, in one person by the deletion of an A base and, in the other, the nucleotide substitution of a G base for an A base. Thus, back mutation now becomes, together with intragenic recombination, an important genetic mechanism to consider when explaining examples of a reversion of somatic cells to "normal" in persons with a genetically determined abnormal phenotype.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 32%
Student > Doctoral Student 3 12%
Student > Postgraduate 2 8%
Professor > Associate Professor 2 8%
Student > Master 2 8%
Other 3 12%
Unknown 5 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 44%
Biochemistry, Genetics and Molecular Biology 4 16%
Medicine and Dentistry 3 12%
Psychology 1 4%
Computer Science 1 4%
Other 0 0%
Unknown 5 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 November 2016.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Human Genetics
#1,014
of 2,957 outputs
Outputs of similar age
#26,134
of 113,954 outputs
Outputs of similar age from Human Genetics
#4
of 16 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,957 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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