ArticleHuman genome variation2016
Integrated small copy number variations and epigenome maps of disorders of sex development.
Article in Human genome variation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 25 citations in OpenAlex.
- Cytogenomic Investigation of Syndromic Brazilian Patients with Differences of Sexual Development.Diagnostics (Basel, Switzerland) · 2023Article
- Identification of Small Regions of Overlap from Copy Number Variable Regions in Patients with Hypospadias.International journal of molecular sciences · 2022Article
- Towards improved genetic diagnosis of human differences of sex development.Nature reviews. Genetics · 2021Review
- nanotatoR: a tool for enhanced annotation of genomic structural variants.BMC genomics · 2021Article
- Under-reported aspects of diagnosis and treatment addressed in the Dutch-Flemish guideline for comprehensive diagnostics in disorders/differences of sex development.Journal of medical genetics · 2020Review
- Translating genomics to the clinical diagnosis of disorders/differences of sex development.Current topics in developmental biology · 2019Review
- New technologies to uncover the molecular basis of disorders of sex development.Molecular and cellular endocrinology · 2018Review
- Genetics of Disorders of Sex Development: The DSD-TRN Experience.Endocrinology and metabolism clinics of North America · 2017Review
- Small copy-number variations involving genes of the FGF pathway in differences in sex development.Human genome variation · 2017Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Small copy number variations (CNVs) have typically not been analyzed or reported in clinical settings and hence have remained underrepresented in databases and the literature. Here, we focused our investigations on these small CNVs using chromosome microarray analysis (CMA) data previously obtained from patients with atypical characteristics or disorders of sex development (DSD). Using our customized CMA track targeting 334 genes involved in the development of urogenital and reproductive structures and a less stringent analysis filter, we uncovered small genes with recurrent and overlapping CNVs as small as 1 kb, and small regions of homozygosity (ROHs), imprinting and position effects. Detailed analysis of these high-resolution data revealed CNVs and ROHs involving structural and functional domains, repeat elements, active transcription sites and regulatory regions. Integration of these genomic data with DNA methylation, histone modification and predicted RNA expression profiles in normal testes and ovaries suggested spatiotemporal and tissue-specific gene regulation. This study emphasized a DSD-specific and gene-targeted CMA approach that uncovered previously unanalyzed or unreported small genes and CNVs, contributing to the growing resources on small CNVs and facilitating the narrowing of the genomic gap for identifying candidate genes or regions. This high-resolution analysis tool could improve the diagnostic utility of CMA, not only in patients with DSD but also in other clinical populations. These integrated data provided a better genomic-epigenomic landscape of DSD and greater opportunities for downstream research.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.