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Next generation sequencing in women affected by nonsyndromic premature ovarian failure displays new potential causative genes and mutations.
- Source :
-
Fertility and sterility [Fertil Steril] 2015 Jul; Vol. 104 (1), pp. 154-62.e2. Date of Electronic Publication: 2015 May 16. - Publication Year :
- 2015
-
Abstract
- Objective: To identify new molecular actors involved in nonsyndromic premature ovarian failure (POF) etiology.<br />Design: This is a retrospective case-control cohort study.<br />Setting: University research group and IVF medical center.<br />Patient(s): Twelve women affected by nonsyndromic POF. The control group included 176 women whose menopause had occurred after age 50 and had no antecedents regarding gynecological disease. A further 345 women from the same ethnic origin (general population group) were also recruited to assess allele frequency for potentially deleterious sequence variants.<br />Intervention(s): Next generation sequencing (NGS), Sanger sequencing, and bioinformatics analysis.<br />Main Outcome Measure(s): The complete coding regions of 70 candidate genes were massively sequenced, via NGS, in POF patients. Bioinformatics and genetics were used to confirm NGS results and to identify potential sequence variants related to the disease pathogenesis.<br />Result(s): We have identified mutations in two novel genes, ADAMTS19 and BMPR2, that are potentially related to POF origin. LHCGR mutations, which might have contributed to the phenotype, were also detected.<br />Conclusion(s): We thus recommend NGS as a powerful tool for identifying new molecular actors in POF and for future diagnostic/prognostic purposes.<br /> (Copyright © 2015 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- ADAMTS Proteins
Adult
Case-Control Studies
Cohort Studies
Female
High-Throughput Nucleotide Sequencing methods
Humans
Retrospective Studies
ADAM Proteins genetics
Bone Morphogenetic Protein Receptors, Type II genetics
Mutation genetics
Primary Ovarian Insufficiency diagnosis
Primary Ovarian Insufficiency genetics
Sequence Analysis methods
Subjects
Details
- Language :
- English
- ISSN :
- 1556-5653
- Volume :
- 104
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Fertility and sterility
- Publication Type :
- Academic Journal
- Accession number :
- 25989972
- Full Text :
- https://doi.org/10.1016/j.fertnstert.2015.04.016