Ghayda Mirzaa

Dr. Ghayda Mirzaa

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2016 in JAMA Neurology
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GMGhayda Mirzaa
Ghayda Mirzaa
CCCatarina D. Campbell
Catarina D. Campbell
NSNadia Solovieff
Nadia Solovieff
CGCarleton P. Goold
Carleton P. Goold
LJLaura A. Jansen
Laura A. Jansen
WDWilliam B. Dobyns
William B. Dobyns
Focal cortical dysplasia (FCD) is a malformation of cortical development found in almost half of children referred for epilepsy surgery, making it the most frequent known cause of intractable focal epilepsy.1 The histopathologic changes that define FCD type 2 (FCD2) include cortical dyslamination and large dysmorphic neurons without (type 2a) or with (type 2b) balloon cells.2 Functional defects in the phosphatidylinositol 3-kinase (PI3K)–AKT (serine/threonine kinase, also known as protein kinase B)–mammalian target of rapamycin (mTOR) pathway have been demonstrated by Western blot, immunohistochemical staining, and AKT kinase and RNA expression analyses,3-5 and mutations of DEPDC5 (OMIM 614191), PTEN (germline) (OMIM 601728), and PIK3CA (postzygotic or mosaic) (OMIM 171834) have been found in FCD, classified as FCD1 or FCD2.3,6-13 Furthermore, 3 previous studies14-16 reported mosaic mutations in MTOR in patients with FCD2. Many studies2,3,6,17-19 have found links among diffuse megalencephaly, hemimegalencephaly, and FCD2, which have historically been considered distinct disorders. A link is further supported by discovery of germline or mosaic mutations of the same genes in the PI3K-AKT-mTOR pathway in patients with megalencephaly, hemimegalencephaly, or FCD. These data suggest that further genetic studies of FCD, as well as hemimegalencephaly and megalencephaly, are warranted to define additional genetic causes and explore links between the phenotypes and the levels and distribution of mosaic mutations.

16 June 2016 in JCI Insight
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GMGhayda Mirzaa
Ghayda Mirzaa
ATAndrew E. Timms
Andrew E. Timms
VCValerio Conti
Valerio Conti
EBEvan August Boyle
Evan August Boyle
KGKatta M. Girisha
Katta M. Girisha
WDWilliam B. Dobyns
William B. Dobyns
Mosaicism is increasingly recognized as a cause of developmental disorders with the advent of next-generation sequencing (NGS). Mosaic mutations of PIK3CA have been associated with the widest spectrum of phenotypes associated with overgrowth and vascular malformations. We performed targeted NGS using 2 independent deep-coverage methods that utilize molecular inversion probes and amplicon sequencing in a cohort of 241 samples from 181 individuals with brain and/or body overgrowth. We identified PIK3CA mutations in 60 individuals. Several other individuals ( n = 12) were identified separately to have mutations in PIK3CA by clinical targeted-panel testing ( n = 6), whole-exome sequencing ( n = 5), or Sanger sequencing ( n = 1). Based on the clinical and molecular features, this cohort segregated into three distinct groups: (a) severe focal overgrowth due to low-level but highly activating (hotspot) mutations, (b) predominantly brain overgrowth and less severe somatic overgrowth due to less-activating mutations, and (c) intermediate phenotypes (capillary malformations with overgrowth) with intermediately activating mutations. Sixteen of 29 PIK3CA mutations were novel. We also identified constitutional PIK3CA mutations in 10 patients. Our molecular data, combined with review of the literature, show that PIK3CA -related overgrowth disorders comprise a discontinuous spectrum of disorders that correlate with the severity and distribution of mutations.

16 April 2013 in American Journal of Medical Genetics Part C: Seminars in Medical Genetics
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GMGhayda Mirzaa
Ghayda Mirzaa
JRJean‐Baptiste Rivière
Jean‐Baptiste Rivière
WDWilliam B. Dobyns
William B. Dobyns

7 September 2020 in Nature Reviews Neurology
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RORenske Oegema
Renske Oegema
TBTahsin Stefan Barakat
Tahsin Stefan Barakat
MWMartina Wilke
Martina Wilke
KSKatrien Stouffs
Katrien Stouffs
DADina Amrom
Dina Amrom
NDNataliya Di Donato
Nataliya Di Donato
Malformations of cortical development (MCDs) are neurodevelopmental disorders that result from abnormal development of the cerebral cortex in utero. MCDs place a substantial burden on affected individuals, their families and societies worldwide, as these individuals can experience lifelong drug-resistant epilepsy, cerebral palsy, feeding difficulties, intellectual disability and other neurological and behavioural anomalies. The diagnostic pathway for MCDs is complex owing to wide variations in presentation and aetiology, thereby hampering timely and adequate management. In this article, the international MCD network Neuro-MIG provides consensus recommendations to aid both expert and non-expert clinicians in the diagnostic work-up of MCDs with the aim of improving patient management worldwide. We reviewed the literature on clinical presentation, aetiology and diagnostic approaches for the main MCD subtypes and collected data on current practices and recommendations from clinicians and diagnostic laboratories within Neuro-MIG. We reached consensus by 42 professionals from 20 countries, using expert discussions and a Delphi consensus process. We present a diagnostic workflow that can be applied to any individual with MCD and a comprehensive list of MCD-related genes with their associated phenotypes. The workflow is designed to maximize the diagnostic yield and increase the number of patients receiving personalized care and counselling on prognosis and recurrence risk.

7 September 2017 in Brain
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DADiana Alcantara
Diana Alcantara
ATAndrew E Timms
Andrew E Timms
KGKaren Gripp
Karen Gripp
LBLaura Baker
Laura Baker
KPKaylee Park
Kaylee Park
GMGhayda Mirzaa
Ghayda Mirzaa
Mutations of genes within the phosphatidylinositol-3-kinase (PI3K)-AKT-MTOR pathway are well known causes of brain overgrowth (megalencephaly) as well as segmental cortical dysplasia (such as hemimegalencephaly, focal cortical dysplasia and polymicrogyria). Mutations of the AKT3 gene have been reported in a few individuals with brain malformations, to date. Therefore, our understanding regarding the clinical and molecular spectrum associated with mutations of this critical gene is limited, with no clear genotype–phenotype correlations. We sought to further delineate this spectrum, study levels of mosaicism and identify genotype–phenotype correlations of AKT3-related disorders. We performed targeted sequencing of AKT3 on individuals with these phenotypes by molecular inversion probes and/or Sanger sequencing to determine the type and level of mosaicism of mutations. We analysed all clinical and brain imaging data of mutation-positive individuals including neuropathological analysis in one instance. We performed ex vivo kinase assays on AKT3 engineered with the patient mutations and examined the phospholipid binding profile of pleckstrin homology domain localizing mutations. We identified 14 new individuals with AKT3 mutations with several phenotypes dependent on the type of mutation and level of mosaicism. Our comprehensive clinical characterization, and review of all previously published patients, broadly segregates individuals with AKT3 mutations into two groups: patients with highly asymmetric cortical dysplasia caused by the common p.E17K mutation, and patients with constitutional AKT3 mutations exhibiting more variable phenotypes including bilateral cortical malformations, polymicrogyria, periventricular nodular heterotopia and diffuse megalencephaly without cortical dysplasia. All mutations increased kinase activity, and pleckstrin homology domain mutants exhibited enhanced phospholipid binding. Overall, our study shows that activating mutations of the critical AKT3 gene are associated with a wide spectrum of brain involvement ranging from focal or segmental brain malformations (such as hemimegalencephaly and polymicrogyria) predominantly due to mosaic AKT3 mutations, to diffuse bilateral cortical malformations, megalencephaly and heterotopia due to constitutional AKT3 mutations. We also provide the first detailed neuropathological examination of a child with extreme megalencephaly due to a constitutional AKT3 mutation. This child has one of the largest documented paediatric brain sizes, to our knowledge. Finally, our data show that constitutional AKT3 mutations are associated with megalencephaly, with or without autism, similar to PTEN-related disorders. Recognition of this broad clinical and molecular spectrum of AKT3 mutations is important for providing early diagnosis and appropriate management of affected individuals, and will facilitate targeted design of future human clinical trials using PI3K-AKT pathway inhibitors.

28 May 2014 in American Journal of Medical Genetics Part C: Seminars in Medical Genetics
Verified
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GMGhayda Mirzaa
Ghayda Mirzaa
APAnnapurna Poduri
Annapurna Poduri