Literature DB >> 16724006

A multistep mutation mechanism drives the evolution of the CAG repeat at MJD/SCA3 locus.

Sandra Martins1, Francesc Calafell, Virginia C N Wong, Jorge Sequeiros, António Amorim.   

Abstract

Despite the intense debate around the repeat instability reported on the large group of neurological disorders caused by trinucleotide repeat expansions, little is known about the mutation process underlying alleles in the normal range that, ultimately, expand to pathological size. In this study, we assessed the mutation mechanisms by which wild-type Machado-Joseph disease (MJD) alleles have been generated throughout human evolution. Haplotypes including the CAG repeat, six intragenic SNPs and four flanking microsatellites were analysed in 431 normal chromosomes of European, Asian and African origin. A bimodal CAG repeat length frequency distribution was found in the four most frequent wild-type lineages (H1-GCGGCA; H2-GTGGCA; H3-TTAGAC and H4-TTACAC). Based on flanking microsatellite haplotypes, the variance calculated by analysis of molecular variance between modal (CAG)n alleles was little or null in lineages H1, H2 and H4, as were the pairwise differences. Moreover, genetic distances among all the alleles from each lineage did not reflect the allele sizes differences, as expected if a stepwise mutation model was the main process of evolution. On the contrary, when exposed in maximum parsimonious phylogenetic trees, a large number of mutation steps separated same-size alleles, whereas several microsatellite haplotypes were shared by modal CAGs. In conclusion, our results suggest that the main mutation mechanism occurring in the evolution of the polymorphic CAG region at MJD/SCA3 locus is a multistep one, either by gene conversion or DNA slippage; repeats with 14, 21, 23 and 27 CAGs are the main alleles involved in this process.

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Year:  2006        PMID: 16724006     DOI: 10.1038/sj.ejhg.5201643

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  10 in total

Review 1.  Toward understanding Machado-Joseph disease.

Authors:  Maria do Carmo Costa; Henry L Paulson
Journal:  Prog Neurobiol       Date:  2011-11-23       Impact factor: 11.685

2.  Parametric fMRI of paced motor responses uncovers novel whole-brain imaging biomarkers in spinocerebellar ataxia type 3.

Authors:  João Valente Duarte; Ricardo Faustino; Mercês Lobo; Gil Cunha; César Nunes; Carlos Ferreira; Cristina Januário; Miguel Castelo-Branco
Journal:  Hum Brain Mapp       Date:  2016-06-07       Impact factor: 5.038

Review 3.  Machado-Joseph Disease: from first descriptions to new perspectives.

Authors:  Conceição Bettencourt; Manuela Lima
Journal:  Orphanet J Rare Dis       Date:  2011-06-02       Impact factor: 4.123

4.  Genetic testing for clinically suspected spinocerebellar ataxias: report from a tertiary referral centre in India.

Authors:  Sowmya Devatha Venkatesh; Mahesh Kandasamy; Nagaraj S Moily; Radhika Vaidyanathan; Lakshmi Narayanan Kota; Syama Adhikarla; Ravi Yadav; Pramod Kumar Pal; Sanjeev Jain; Meera Purushottam
Journal:  J Genet       Date:  2018-03       Impact factor: 1.166

5.  Contraction of fully expanded FMR1 alleles to the normal range: predisposing haplotype or rare events?

Authors:  Nuno Maia; Joana R Loureiro; Bárbara Oliveira; Isabel Marques; Rosário Santos; Paula Jorge; Sandra Martins
Journal:  J Hum Genet       Date:  2016-10-27       Impact factor: 3.172

6.  Physiological and pathophysiological characteristics of ataxin-3 isoforms.

Authors:  Daniel Weishäupl; Juliane Schneider; Barbara Peixoto Pinheiro; Corinna Ruess; Sandra Maria Dold; Felix von Zweydorf; Christian Johannes Gloeckner; Jana Schmidt; Olaf Riess; Thorsten Schmidt
Journal:  J Biol Chem       Date:  2018-11-19       Impact factor: 5.157

7.  Segregation distortion of wild-type alleles at the Machado-Joseph disease locus: a study in normal families from the Azores islands (Portugal).

Authors:  Conceição Bettencourt; Raquel Nunes Fialho; Cristina Santos; Rafael Montiel; Jácome Bruges-Armas; Patrícia Maciel; Manuela Lima
Journal:  J Hum Genet       Date:  2008-02-20       Impact factor: 3.172

8.  Toward allele-specific targeting therapy and pharmacodynamic marker for spinocerebellar ataxia type 3.

Authors:  Mercedes Prudencio; Hector Garcia-Moreno; Karen R Jansen-West; Rana Hanna Al-Shaikh; Tania F Gendron; Michael G Heckman; Matthew R Spiegel; Yari Carlomagno; Lillian M Daughrity; Yuping Song; Judith A Dunmore; Natalie Byron; Björn Oskarsson; Katharine A Nicholson; Nathan P Staff; Sorina Gorcenco; Andreas Puschmann; João Lemos; Cristina Januário; Mark S LeDoux; Joseph H Friedman; James Polke; Robin Labrum; Vikram Shakkottai; Hayley S McLoughlin; Henry L Paulson; Takuya Konno; Osamu Onodera; Takeshi Ikeuchi; Mari Tada; Akiyoshi Kakita; John D Fryer; Christin Karremo; Inês Gomes; John N Caviness; Mark R Pittelkow; Jan Aasly; Ronald F Pfeiffer; Venka Veerappan; Eric R Eggenberger; William D Freeman; Josephine F Huang; Ryan J Uitti; Klaas J Wierenga; Iris V Marin Collazo; Philip W Tipton; Jay A van Gerpen; Marka van Blitterswijk; Guojun Bu; Zbigniew K Wszolek; Paola Giunti; Leonard Petrucelli
Journal:  Sci Transl Med       Date:  2020-10-21       Impact factor: 17.956

9.  Is the High Frequency of Machado-Joseph Disease in China Due to New Mutational Origins?

Authors:  Tianjiao Li; Sandra Martins; Yun Peng; Puzhi Wang; Xiaocan Hou; Zhao Chen; Chunrong Wang; Zhaoli Tang; Rong Qiu; Chao Chen; Zhengmao Hu; Kun Xia; Beisha Tang; Jorge Sequeiros; Hong Jiang
Journal:  Front Genet       Date:  2019-02-20       Impact factor: 4.599

10.  Genome-wide association study identifies genetic factors that modify age at onset in Machado-Joseph disease.

Authors:  Fulya Akçimen; Sandra Martins; Calwing Liao; Cynthia V Bourassa; Hélène Catoire; Garth A Nicholson; Olaf Riess; Mafalda Raposo; Marcondes C França; João Vasconcelos; Manuela Lima; Iscia Lopes-Cendes; Maria Luiza Saraiva-Pereira; Laura B Jardim; Jorge Sequeiros; Patrick A Dion; Guy A Rouleau
Journal:  Aging (Albany NY)       Date:  2020-03-23       Impact factor: 5.682

  10 in total

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