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Investigating the role of X chromosome breakpoints in premature ovarian failure

Overview of attention for article published in Molecular Cytogenetics, July 2012
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Title
Investigating the role of X chromosome breakpoints in premature ovarian failure
Published in
Molecular Cytogenetics, July 2012
DOI 10.1186/1755-8166-5-32
Pubmed ID
Authors

Simona Baronchelli, Nicoletta Villa, Serena Redaelli, Sara Lissoni, Fabiana Saccheri, Elena Panzeri, Donatella Conconi, Angela Bentivegna, Francesca Crosti, Elena Sala, Francesca Bertola, Anna Marozzi, Antonio Pedicini, Marialuisa Ventruto, Maria Adalgisa Police, Leda Dalprà

Abstract

The importance of the genetic factor in the aetiology of premature ovarian failure (POF) is emphasized by the high percentage of familial cases and X chromosome abnormalities account for 10% of chromosomal aberrations. In this study, we report the detailed analysis of 4 chromosomal abnormalities involving the X chromosome and associated with POF that were detected during a screening of 269 affected women. Conventional and molecular cytogenetics were valuable tools for locating the breakpoint regions and thus the following karyotypes were defined: 46,X,der(X)t(X;19)(p21.1;q13.42)mat, 46,X,t(X;2)(q21.33;q14.3)dn, 46,X,der(X)t(X;Y)(q26.2;q11.223)mat and 46,X,t(X;13)(q13.3;q31)dn. A bioinformatic analysis of the breakpoint regions identified putative candidate genes for ovarian failure near the breakpoint regions on the X chromosome or on autosomes that were involved in the translocation event. HS6ST1, HS6ST2 and MATER genes were identified and their functions and a literature review revealed an interesting connection to the POF phenotype. Moreover, the 19q13.32 locus is associated with the age of onset of the natural menopause. These results support the position effect of the breakpoint on flanking genes, and cytogenetic techniques, in combination with bioinformatic analysis, may help to improve what is known about this puzzling disorder and its diagnostic potential.

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Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 22%
Researcher 5 19%
Professor > Associate Professor 3 11%
Student > Doctoral Student 2 7%
Student > Ph. D. Student 2 7%
Other 5 19%
Unknown 4 15%
Readers by discipline Count As %
Medicine and Dentistry 12 44%
Biochemistry, Genetics and Molecular Biology 4 15%
Agricultural and Biological Sciences 3 11%
Immunology and Microbiology 2 7%
Nursing and Health Professions 1 4%
Other 1 4%
Unknown 4 15%