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Dive into the research topics where Stefanie Eggers is active.

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Featured researches published by Stefanie Eggers.


Chromosome Research | 2012

Mammalian sex determination—insights from humans and mice

Stefanie Eggers; Andrew H. Sinclair

Disorders of sex development (DSD) are congenital conditions in which the development of chromosomal, gonadal, or anatomical sex is atypical. Many of the genes required for gonad development have been identified by analysis of DSD patients. However, the use of knockout and transgenic mouse strains have contributed enormously to the study of gonad gene function and interactions within the development network. Although the genetic basis of mammalian sex determination and differentiation has advanced considerably in recent years, a majority of 46,XY gonadal dysgenesis patients still cannot be provided with an accurate diagnosis. Some of these unexplained DSD cases may be due to mutations in novel DSD genes or genomic rearrangements affecting regulatory regions that lead to atypical gene expression. Here, we review our current knowledge of mammalian sex determination drawing on insights from human DSD patients and mouse models.


Nature Reviews Endocrinology | 2014

Genetic regulation of mammalian gonad development

Stefanie Eggers; Thomas Ohnesorg; Andrew H. Sinclair

Sex-specific gonadal development starts with formation of the bipotential gonad, which then differentiates into either a mature testis or an ovary. This process is dependent on activation of either the testis-specific or the ovary-specific pathway while the opposite pathway is continuously repressed. A network of transcription factors tightly regulates initiation and maintenance of these distinct pathways; disruption of these networks can lead to disorders of sex development in humans and male-to-female or female-to-male sex reversal in mice. Sry is the Y-linked master switch that is both required and sufficient to drive the testis-determining pathway. Another key component of the testis pathway is Sox9, which acts immediately downstream of Sry. In contrast to the testis pathway, no single sex-determining factor has been identified in the ovary pathway; however, multiple genes, such as Foxl2, Rspo1, Ctnnb1, and Wnt4, seem to work synergistically and in parallel to ensure proper ovary development. Our understanding of the regulatory networks that underpin testis and ovary development has grown substantially over the past two decades.


Genome Biology | 2016

Disorders of sex development: Insights from targeted gene sequencing of a large international patient cohort

Stefanie Eggers; Simon Sadedin; Jocelyn A. van den Bergen; Gorjana Robevska; Thomas Ohnesorg; Jacqueline K. Hewitt; Luke S. Lambeth; Aurore Bouty; Ingrid M. Knarston; Tiong Yang Tan; Fergus J. Cameron; George A. Werther; John M. Hutson; Michele O’Connell; Sonia Grover; Yves Heloury; Margaret Zacharin; Philip Bergman; Chris Kimber; Justin Brown; Nathalie Webb; Matthew Hunter; Shubha Srinivasan; Angela Titmuss; Charles F. Verge; David Mowat; Grahame Smith; Janine Smith; Lisa Ewans; Carolyn Shalhoub

BackgroundDisorders of sex development (DSD) are congenital conditions in which chromosomal, gonadal, or phenotypic sex is atypical. Clinical management of DSD is often difficult and currently only 13% of patients receive an accurate clinical genetic diagnosis. To address this we have developed a massively parallel sequencing targeted DSD gene panel which allows us to sequence all 64 known diagnostic DSD genes and candidate genes simultaneously.ResultsWe analyzed DNA from the largest reported international cohort of patients with DSD (278 patients with 46,XY DSD and 48 with 46,XX DSD). Our targeted gene panel compares favorably with other sequencing platforms. We found a total of 28 diagnostic genes that are implicated in DSD, highlighting the genetic spectrum of this disorder. Sequencing revealed 93 previously unreported DSD gene variants. Overall, we identified a likely genetic diagnosis in 43% of patients with 46,XY DSD. In patients with 46,XY disorders of androgen synthesis and action the genetic diagnosis rate reached 60%. Surprisingly, little difference in diagnostic rate was observed between singletons and trios. In many cases our findings are informative as to the likely cause of the DSD, which will facilitate clinical management.ConclusionsOur massively parallel sequencing targeted DSD gene panel represents an economical means of improving the genetic diagnostic capability for patients affected by DSD. Implementation of this panel in a large cohort of patients has expanded our understanding of the underlying genetic etiology of DSD. The inclusion of research candidate genes also provides an invaluable resource for future identification of novel genes.


European Journal of Human Genetics | 2015

Whole exome sequencing combined with linkage analysis identifies a novel 3 bp deletion in NR5A1

Stefanie Eggers; Katherine R. Smith; Melanie Bahlo; Leendert Looijenga; Stenvert L. S. Drop; Zulfa Juniarto; Vincent R. Harley; Peter Koopman; Sultana Mh Faradz; Andrew H. Sinclair

Disorders of sex development (DSDs) encompass a broad spectrum of conditions affecting the development of the gonads and genitalia. The underlying causes for DSDs include gain or loss of function variants in genes responsible for gonad development or steroidogenesis. Most patients with DSD have an unknown genetic etiology and cannot be given an accurate diagnosis. We used whole exome capture and massively parallel sequencing to analyse a large family with 46,XY DSD and 46,XX premature ovarian insufficiency. In addition, we used a recently developed method for linkage analysis using genotypes extracted from the MPS data. This approach identified a unique linkage peak on chromosome 9 and a novel, 3 bp, in-frame deletion in exon six of NR5A1 (steroidogenic factor-1 or SF1) in all affected individuals. We confirmed that the variant disrupts the SF1 protein and its ability to bind and regulate downstream genes. NR5A1 has key roles at multiple points in gonad development and steroidogenic pathways. The variant described here affects the function of SF1 in early testis development and later ovarian function, ultimately leading to the 46,XY DSD and 46,XX premature ovarian insufficiency phenotypes, respectively. This study shows that even at low coverage, whole exome sequencing, when combined with linkage analysis, can be a powerful tool to identify rapidly the disease-causing variant in large pedigrees.


Fertility and Sterility | 2015

Copy number variation associated with meiotic arrest in idiopathic male infertility

Stefanie Eggers; Kathleen D. DeBoer; Jocelyn A. van den Bergen; Lavinia Gordon; Stefan J. White; Duangporn Jamsai; Robert I. McLachlan; Andrew H. Sinclair; Moira K. O'Bryan

OBJECTIVE To assess the association between copy number variations (CNVs) and meiotic arrest and azoospermic men. DESIGN Genetic association study. SETTING University. PATIENT(S) Australian men: 19 with histologically confirmed meiotic arrest, 110 men with azoospermia in the absence of histologic data, and 97 fertile men (controls). INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) The identification of CNV by microarray and/or multiplex ligation-dependent probe amplification (MLPA), and the localization of unique CNV encoded proteins to the human testis. RESULT(S) Microarray identified two CNVs unique to meiosis arrest patients. One containing the MYRIP gene and a second containing LRRC4C and the long noncoding RNA LOC100507205. All three genes are transcribed in the human testis, and MYRIP and LRRC4C localize to meiotic cells. The reverse genetic screen for CNVs in meiosis genes identified in mouse models further identified CNVs including HSPA2 as being associated with azoospermia. CONCLUSION(S) These data raise the possibility that, while relatively rare, CNVs may contribute to human male infertility and that CNV screening should be incorporated into long-term plans for genome profiling as a diagnostic tool.


Leukemia | 2017

Functionally distinct roles for different miR-155 expression levels through contrasting effects on gene expression, in acute myeloid leukaemia.

N Narayan; Leah Morenos; Belinda Phipson; S N Willis; Gabriela Brumatti; Stefanie Eggers; Najoua Lalaoui; L M Brown; H J Kosasih; R C Bartolo; Li Zhou; Daniel Catchpoole; Richard Saffery; Alicia Oshlack; Gregory J. Goodall; Paul G. Ekert

Enforced expression of microRNA-155 (miR-155) in myeloid cells has been shown to have both oncogenic or tumour-suppressor functions in acute myeloid leukaemia (AML). We sought to resolve these contrasting effects of miR-155 overexpression using murine models of AML and human paediatric AML data sets. We show that the highest miR-155 expression levels inhibited proliferation in murine AML models. Over time, enforced miR-155 expression in AML in vitro and in vivo, however, favours selection of intermediate miR-155 expression levels that results in increased tumour burden in mice, without accelerating the onset of disease. Strikingly, we show that intermediate and high miR-155 expression also regulate very different subsets of miR-155 targets and have contrasting downstream effects on the transcriptional environments of AML cells, including genes involved in haematopoiesis and leukaemia. Furthermore, we show that elevated miR-155 expression detected in paediatric AML correlates with intermediate and not high miR-155 expression identified in our experimental models. These findings collectively describe a novel dose-dependent role for miR-155 in the regulation of AML, which may have important therapeutic implications.


BMC Bioinformatics | 2016

MethPat: a tool for the analysis and visualisation of complex methylation patterns obtained by massively parallel sequencing.

Nicholas C. Wong; Bernard J. Pope; Ida Candiloro; Darren Korbie; Matt Trau; Stephen Q. Wong; Thomas Mikeska; Xinmin Z Zhang; Mark Pitman; Stefanie Eggers; Stephen R. Doyle; Alexander Dobrovic

BackgroundDNA methylation at a gene promoter region has the potential to regulate gene transcription. Patterns of methylation over multiple CpG sites in a region are often complex and cell type specific, with the region showing multiple allelic patterns in a sample. This complexity is commonly obscured when DNA methylation data is summarised as an average percentage value for each CpG site (or aggregated across CpG sites). True representation of methylation patterns can only be fully characterised by clonal analysis. Deep sequencing provides the ability to investigate clonal DNA methylation patterns in unprecedented detail and scale, enabling the proper characterisation of the heterogeneity of methylation patterns. However, the sheer amount and complexity of sequencing data requires new synoptic approaches to visualise the distribution of allelic patterns.ResultsWe have developed a new analysis and visualisation software tool “Methpat”, that extracts and displays clonal DNA methylation patterns from massively parallel sequencing data aligned using Bismark. Methpat was used to analyse multiplex bisulfite amplicon sequencing on a range of CpG island targets across a panel of human cell lines and primary tissues. Methpat was able to represent the clonal diversity of epialleles analysed at specific gene promoter regions. We also used Methpat to describe epiallelic DNA methylation within the mitochondrial genome.ConclusionsMethpat can summarise and visualise epiallelic DNA methylation results from targeted amplicon, massively parallel sequencing of bisulfite converted DNA in a compact and interpretable format. Unlike currently available tools, Methpat can visualise the diversity of epiallelic DNA methylation patterns in a sample.


Translational Research | 2012

CITED2 mutations potentially cause idiopathic premature ovarian failure

Dora Janeth Fonseca; Diego Ojeda; Besma Lakhal; Rim Braham; Stefanie Eggers; Erin Turbitt; Stefan J. White; Sonia Grover; Garry L. Warne; Margaret Zacharin; Alexandra C. Nevin Lam; Hanène Landolsi; Hatem Elghezal; Ali Saâd; Carlos Martín Restrepo; Marc Fellous; Andrew H. Sinclair; Peter Koopman; Paul Laissue

Anomalies in gonadal development in a mouse knockout model of Cited2 have been recently described. In Cited2(-/-) female gonads, an ectopic cell migration was observed and the female program of sex determination was transiently delayed. We hypothesize that, in humans, this temporary inhibition of genes should be sufficient to provoke a developmental impairment of the female gonads, conducive to premature ovarian failure (POF). To establish whether CITED2 mutations are a common cause of the disease, we performed a mutational analysis of this gene in a panel of patients with POF and in a group of control women with normal fertility. We amplified and directly sequenced the complete open reading frame of CITED2 in 139 patients with POF and 290 controls. This study revealed 5 synonymous and 3 nonsynonymous variants. Among these, 7 are novel. The nonsynonymous variant c.604C>A (p.Pro202Thr) was found uniquely in 1 woman from the POF group. In silico analysis of this mutation indicated a potential deleterious effect. We conclude that mutations in CITED2 may be involved in POF pathogenesis.


BMC Genomics | 2009

Rapid high-throughput analysis of DNaseI hypersensitive sites using a modified Multiplex Ligation-dependent Probe Amplification approach

Thomas Ohnesorg; Stefanie Eggers; Wouter N. Leonhard; Andrew H. Sinclair; Stefan J. White

BackgroundMapping DNaseI hypersensitive sites is commonly used to identify regulatory regions in the genome. However, currently available methods are either time consuming and laborious, expensive or require large numbers of cells. We aimed to develop a quick and straightforward method for the analysis of DNaseI hypersensitive sites that overcomes these problems.ResultsWe have developed a modified Multiplex Ligation-dependent Probe Amplification (MLPA) approach for the identification and analysis of genomic regulatory regions. The utility of this approach was demonstrated by simultaneously analysing 20 loci from the ENCODE project for DNaseI hypersensitivity in a range of different cell lines. We were able to obtain reproducible results with as little as 5 × 104 cells per DNaseI treatment. Our results broadly matched those previously reported by the ENCODE project, and both technical and biological replicates showed high correlations, indicating the sensitivity and reproducibility of this method.ConclusionThis new method will considerably facilitate the identification and analysis of DNaseI hypersensitive sites. Due to the multiplexing potential of MLPA (up to 50 loci can be examined) it is possible to analyse dozens of DNaseI hypersensitive sites in a single reaction. Furthermore, the high sensitivity of MLPA means that fewer than 105 cells per DNaseI treatment can be used, allowing the discovery and analysis of tissue specific regulatory regions without the need for pooling. This method is quick and easy and results can be obtained within 48 hours after harvesting of cells or tissues. As no special equipment is required, this method can be applied by any laboratory interested in the analysis of DNaseI hypersensitive regions.


Clinical Endocrinology | 2016

Hormonal evaluation in relation to phenotype and genotype in 286 patients with a disorder of sex development from Indonesia

A. Zulfa Juniarto; Yvonne G. van der Zwan; Ardy Santosa; Mahayu Dewi Ariani; Stefanie Eggers; Remko Hersmus; Axel P. N. Themmen; Hennie T. Brüggenwirth; Katja P. Wolffenbuttel; Andrew H. Sinclair; Stefan J. White; Leendert Looijenga; Frank H. de Jong; Sultana Mh Faradz; Stenvert L. S. Drop

The objective of this study was to determine the aetiological spectrum of disorders of sex development (DSD) in a large cohort of underprivileged and undiagnosed patients from Indonesia.

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Thomas Ohnesorg

Royal Children's Hospital

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Stefan J. White

Leiden University Medical Center

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Leendert Looijenga

Erasmus University Rotterdam

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Charles F. Verge

University of New South Wales

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