Publications by authors named "Ghazala Mirza"

Article Synopsis
  • Preterm infants experience abnormal brain development and are at high risk for neurocognitive issues, with limited understanding of the underlying genetic and molecular mechanisms.
  • This study investigates the relationship between genetic variability in the Peroxisome Proliferator Activated Receptor (PPAR) pathway and brain development by analyzing brain connectivity in 272 preterm infants through advanced machine learning techniques.
  • Findings reveal significant associations between specific single-nucleotide polymorphisms (SNPs) related to the PPAR pathway and cerebral connectivity, suggesting that genetic factors may influence brain development negatively in preterm infants.
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Article Synopsis
  • Preterm birth can harm babies' brains, and scientists are studying how inflammation affects this.
  • They looked at data from both humans and mice to understand how a specific protein called DLG4 is involved.
  • They discovered that DLG4 is important for brain development and influences how babies' brains can be injured after being born early.
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Background: Bronchiectasis is accompanied by chronic bronchial infection that may drive disease progression. However, the evidence base for antibiotic therapy is limited. DNA based methods offer better identification and quantification of microbial constituents of sputum than standard clinical culture and may help inform patient management strategies.

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We performed fine mapping of 39 established type 2 diabetes (T2D) loci in 27,206 cases and 57,574 controls of European ancestry. We identified 49 distinct association signals at these loci, including five mapping in or near KCNQ1. 'Credible sets' of the variants most likely to drive each distinct signal mapped predominantly to noncoding sequence, implying that association with T2D is mediated through gene regulation.

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Background: Autism spectrum disorders (ASDs) are common and have a strong genetic basis, yet the cause of ∼70-80% ASDs remains unknown. By clinical cytogenetic testing, we identified a family in which two brothers had ASD, mild intellectual disability and a chromosome 22 pericentric inversion, not detected in either parent, indicating de novo mutation with parental germinal mosaicism. We hypothesised that the rearrangement was causative of their ASD and localised the chromosome 22 breakpoints.

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To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci.

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To extend understanding of the genetic architecture and molecular basis of type 2 diabetes (T2D), we conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent. We identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association. Genome-wide analyses of these data are consistent with a long tail of additional common variant loci explaining much of the variation in susceptibility to T2D.

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While it is apparent that rare variation can play an important role in the genetic architecture of autism spectrum disorders (ASDs), the contribution of common variation to the risk of developing ASD is less clear. To produce a more comprehensive picture, we report Stage 2 of the Autism Genome Project genome-wide association study, adding 1301 ASD families and bringing the total to 2705 families analysed (Stages 1 and 2). In addition to evaluating the association of individual single nucleotide polymorphisms (SNPs), we also sought evidence that common variants, en masse, might affect the risk.

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Autism spectrum disorder (ASD) is a highly heritable disorder of complex and heterogeneous aetiology. It is primarily characterized by altered cognitive ability including impaired language and communication skills and fundamental deficits in social reciprocity. Despite some notable successes in neuropsychiatric genetics, overall, the high heritability of ASD (~90%) remains poorly explained by common genetic risk variants.

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Specific language impairment (SLI) is an unexpected deficit in the acquisition of language skills and affects between 5 and 8% of pre-school children. Despite its prevalence and high heritability, our understanding of the aetiology of this disorder is only emerging. In this paper, we apply genome-wide techniques to investigate an isolated Chilean population who exhibit an increased frequency of SLI.

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We describe a statistical method for the characterization of genomic aberrations in single nucleotide polymorphism microarray data acquired from cancer genomes. Our approach allows us to model the joint effect of polyploidy, normal DNA contamination and intra-tumour heterogeneity within a single unified Bayesian framework. We demonstrate the efficacy of our method on numerous datasets including laboratory generated mixtures of normal-cancer cell lines and real primary tumours.

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Although autism spectrum disorders (ASDs) have a substantial genetic basis, most of the known genetic risk has been traced to rare variants, principally copy number variants (CNVs). To identify common risk variation, the Autism Genome Project (AGP) Consortium genotyped 1558 rigorously defined ASD families for 1 million single-nucleotide polymorphisms (SNPs) and analyzed these SNP genotypes for association with ASD. In one of four primary association analyses, the association signal for marker rs4141463, located within MACROD2, crossed the genome-wide association significance threshold of P < 5 × 10(-8).

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Article Synopsis
  • - The autism spectrum disorders (ASDs) are marked by difficulties in social interaction and communication along with repetitive behaviors, showing a wide range in cognitive abilities from high intelligence to intellectual disability.
  • - A study comparing individuals with ASD to control subjects found that those with ASD had a higher frequency of rare genetic variations linked to autism and intellectual disability, identifying new genes like SHANK2 and SYNGAP1.
  • - These findings indicate potential new genetic targets related to ASD, specifically in pathways affecting brain function and cellular processes, which could lead to a better understanding of the disorder.
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Background: Autism spectrum disorders (ASDs) are characterized by social, communication, and behavioral deficits and complex genetic etiology. A recent study of 517 ASD families implicated DOCK4 by single nucleotide polymorphism (SNP) association and a microdeletion in an affected sibling pair.

Methods: The DOCK4 microdeletion on 7q31.

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FOXE3 is a lens-specific transcription factor with a highly conserved forkhead domain previously implicated in congenital primary aphakia and anterior segment dysgenesis. Here, we identify new recessive FOXE3 mutations causative for microphthalmia, sclerocornea, primary aphakia, and glaucoma in two extended consanguineous families by SNP array genotyping followed by a candidate gene approach. Following an additional screen of 236 subjects with developmental eye anomalies, we report two further novel heterozygous mutations segregating in a dominant fashion in two different families.

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Array-based technologies have been used to detect chromosomal copy number changes (aneuploidies) in the human genome. Recent studies identified numerous copy number variants (CNV) and some are common polymorphisms that may contribute to disease susceptibility. We developed, and experimentally validated, a novel computational framework (QuantiSNP) for detecting regions of copy number variation from BeadArray SNP genotyping data using an Objective Bayes Hidden-Markov Model (OB-HMM).

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Monosomy of the human chromosome 6p terminal region results in a variety of congenital malformations that include brain, craniofacial, and organogenesis abnormalities. To examine the genetic basis of these phenotypes, we have carried out an unbiased functional analysis of the syntenic region of the mouse genome (proximal Mmu13). A genetic screen for recessive mutations in this region recovered thirteen lines with phenotypes relevant to a variety of clinical conditions.

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Clinical reports of cases with deletions in chromosome 6p are relatively rare. We present a detailed study by fluorescent in situ hybridisation (FISH) of six new cases with distinct but overlapping 6p deletions involving the 6p24-pter chromosomal segment. Chromosomal breakpoints in individual cases were investigated using a large panel of probes previously mapped and characterised in our laboratory to cover the distal region of 6p.

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Ov-serpins are intracellular proteinase inhibitors implicated in the regulation of tumor progression, inflammation, and cell death. The 13 human ov-serpin genes are clustered at 6p25 (3 genes) and 18q21 (10 genes), and share common structures. We show here that a 1-Mb region on mouse chromosome 13 contains at least 15 ov-serpin genes compared with the three ov-serpin genes within 0.

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