Objective: To clarify the molecular basis of hypogonadotropic hypogonadism (HH).
Design: Genome-wide copy number analysis by array-based comparative genomic hybridization and systematic mutation screening of 29 known causative genes by next-generation sequencing, followed by in silico functional assessment and messenger RNA/DNA analyses of the mutants/variants.
Setting: Research institute.
Patient(s): Fifty-eight patients with isolated HH (IHH), combined pituitary hormone deficiency (CPHD), and syndromic HH.
Intervention(s): None.
Main Outcome Measure(s): Frequency and character of molecular abnormalities.
Result(s): Pathogenic defects were identified in 14 patients with various types of HH, although oligogenicity was not evident in this patient group. As rare abnormalities, we identified a submicroscopic deletion involving FGFR1 and an SOX3 polyalanine deletion in patients with IHH, and a WDR11 splice site mutation in a patient with CPHD. No disease-associated polymorphism was detected in the 58 patients.
Conclusion(s): The present study provides further evidence that mutations and deletions in the known causative genes play a relatively minor role in the etiology of HH and that submicroscopic rearrangements encompassing FGFR1 can lead to IHH as a sole recognizable clinical feature. Furthermore, the results indicate for the first time that polyalanine deletions in SOX3 and mutations in WDR11 constitute rare genetic causes of IHH and CPHD, respectively.
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http://dx.doi.org/10.1016/j.fertnstert.2014.06.017 | DOI Listing |
Med
January 2025
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China. Electronic address:
Background: The genomic landscape of esophageal squamous cell carcinoma (ESCC) has been characterized extensively, but there remains a significant need for actionable targets and effective therapies.
Methods: Here, we perform integrative analysis of genome-wide loss of heterozygosity and expression to identify potential tumor suppressor genes. The functions and mechanisms of one of the candidates, TACC2, are then explored both in vitro and in vivo, leading to the proposal of a therapeutic strategy based on the concept of synthetic lethality.
Anim Biotechnol
December 2025
Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Copy number variations (CNVs) have become widely acknowledged as a significant source of genomic variability and phenotypic variance. To understand the genetic variants in horses, CNVs from six Indian horse breeds, Manipuri, Zanskari, Bhutia, Spiti, Kathiawari and Marwari were discovered using Axiom Equine Genotyping Array. These breeds differed in agro-climatic adaptation with distinct phenotypic characters.
View Article and Find Full Text PDFClin Chem
January 2025
Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States.
Background: Disease-causing copy-number variants (CNVs) often encompass contiguous genes and can be detected using chromosomal microarray analysis (CMA). Conversely, CNVs affecting single disease-causing genes have historically been challenging to detect due to their small sizes.
Methods: A custom comprehensive CMA (Baylor College of Medicine - BCM v11.
Clin Chem
January 2025
Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Background: Genetic testing has traditionally been divided into molecular genetics and cytogenetics, originally driven by the use of different assays and their associated limitations. Cytogenetic technologies such as karyotyping, fluorescent in situ hybridization or chromosomal microarrays are used to detect large "megabase level" copy number variants and other structural variants such as inversions or translocations. In contrast, molecular methodologies are heavily biased toward subgenic "small variants" such as single nucleotide variants, insertions/deletions, and targeted detection of intragenic, exon level deletions or duplications.
View Article and Find Full Text PDFAm J Med Genet B Neuropsychiatr Genet
January 2025
Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Externalizing traits and behaviors are broadly defined by impairments in self-regulation and impulse control that typically begin in childhood and adolescence. Externalizing behaviors, traits, and symptoms span a range of traditional psychiatric diagnostic categories. In this study, we sought to generate an algorithm that could reliably identify transdiagnostic childhood-onset externalizing cases and controls within a university hospital electronic health record (EHR) database.
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