Literature DB >> 21256485

Genomic analysis using high-resolution single-nucleotide polymorphism arrays reveals novel microdeletions associated with premature ovarian failure.

Megan M McGuire1, Wayne Bowden, Natalie J Engel, Hyo Won Ahn, Ertug Kovanci, Aleksandar Rajkovic.   

Abstract

OBJECTIVE: To analyze DNA from women with premature ovarian failure (POF) for genome-wide copy-number variations (CNVs), focusing on novel autosomal microdeletions.
DESIGN: Case-control genetic association study.
SETTING: Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, Texas. PATIENT(S): Of 89 POF patients, eight experienced primary amenorrhea and 81 exhibited secondary amenorrhea before age 40 years. INTERVENTION(S): Genomic DNA from peripheral blood samples was analyzed for CNVs using high-resolution single-nucleotide polymorphism (SNP) arrays. MAIN OUTCOME MEASURE(S): Identification of novel CNVs in 89 POF cases, using the Database of Genomic Variants as a control population. RESULT(S): A total of 198 autosomal CNVs were detected by SNP arrays, ranging in size from 0.1 Mb to 3.4 Mb. These CNVs (>0.1 Mb) included 17 novel microduplications and seven novel microdeletions, six of which contained the coding regions 8q24.13, 10p15-p14, 10q23.31, 10q26.3, 15q25.2, and 18q21.32. Most of the novel CNVs were derived from autosomes rather than the X chromosome. CONCLUSION(S): The present pilot study revealed novel microdeletions/microduplications in women with POF. Two novel microdeletions caused haploinsufficiency for SYCE1 and CPEB1, genes known to cause ovarian failure in knockout mouse models. Chromosomal microarrays may be a useful adjunct to conventional karyotyping when evaluating genomic imbalances in women with POF.
Copyright © 2011 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21256485      PMCID: PMC3062633          DOI: 10.1016/j.fertnstert.2010.12.052

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


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