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Dive into the research topics where Patricia Hixson is active.

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Featured researches published by Patricia Hixson.


Human Mutation | 2010

Detection of Clinically Relevant Exonic Copy-Number Changes by Array CGH

Philip M. Boone; Carlos A. Bacino; Chad A. Shaw; Patricia A. Eng; Patricia Hixson; Amber N. Pursley; Sung Hae L Kang; Yaping Yang; Joanna Wiszniewska; Beata Nowakowska; Daniela del Gaudio; Zhilian Xia; Gayle Simpson-Patel; La Donna Immken; James B. Gibson; Anne C.H. Tsai; Jennifer A. Bowers; Tyler Reimschisel; Christian P. Schaaf; Lorraine Potocki; Fernando Scaglia; Tomasz Gambin; Maciej Sykulski; Magdalena Bartnik; Katarzyna Derwińska; Barbara Wisniowiecka-Kowalnik; Seema R. Lalani; Frank J. Probst; Weimin Bi; Arthur L. Beaudet

Array comparative genomic hybridization (aCGH) is a powerful tool for the molecular elucidation and diagnosis of disorders resulting from genomic copy‐number variation (CNV). However, intragenic deletions or duplications—those including genomic intervals of a size smaller than a gene—have remained beyond the detection limit of most clinical aCGH analyses. Increasing array probe number improves genomic resolution, although higher cost may limit implementation, and enhanced detection of benign CNV can confound clinical interpretation. We designed an array with exonic coverage of selected disease and candidate genes and used it clinically to identify losses or gains throughout the genome involving at least one exon and as small as several hundred base pairs in size. In some patients, the detected copy‐number change occurs within a gene known to be causative of the observed clinical phenotype, demonstrating the ability of this array to detect clinically relevant CNVs with subkilobase resolution. In summary, we demonstrate the utility of a custom‐designed, exon‐targeted oligonucleotide array to detect intragenic copy‐number changes in patients with various clinical phenotypes. Hum Mutat 31:1–17, 2010.


Prenatal Diagnosis | 2012

Prenatal chromosomal microarray analysis in a diagnostic laboratory; experience with >1000 cases and review of the literature

Amy M. Breman; Amber N. Pursley; Patricia Hixson; Weimin Bi; Patricia A. Ward; Carlos A. Bacino; Chad A. Shaw; James R. Lupski; Arthur L. Beaudet; Ankita Patel; Sau Wai Cheung; Ignatia B. Van den Veyver

To evaluate the results of prenatal chromosomal microarray analysis (CMA) on >1000 fetal samples referred for testing at our institution and to compare these data to published reports.


European Journal of Human Genetics | 2011

Phenotypic manifestations of copy number variation in chromosome 16p13.11

Sandesh C.S. Nagamani; Ayelet Erez; Patricia I. Bader; Seema R. Lalani; Daryl A. Scott; Fernando Scaglia; Sharon E. Plon; Chun Hui Tsai; Tyler Reimschisel; Elizabeth Roeder; Amy D. Malphrus; Patricia A. Eng; Patricia Hixson; Sung Hae L Kang; Pawel Stankiewicz; Ankita Patel; Sau Wai Cheung

The widespread clinical utilization of array comparative genome hybridization, has led to the unraveling of many new copy number variations (CNVs). Although some of these CNVs are clearly pathogenic, the phenotypic consequences of others, such as those in 16p13.11 remain unclear. Whereas deletions of 16p13.11 have been associated with multiple congenital anomalies, the relevance of duplications of the region is still being debated. We report detailed clinical and molecular characterization of 10 patients with duplication and 4 patients with deletion of 16p13.11. We found that patients with duplication of the region have varied clinical features including behavioral abnormalities, cognitive impairment, congenital heart defects and skeletal manifestations, such as hypermobility, craniosynostosis and polydactyly. These features were incompletely penetrant. Patients with deletion of the region presented with microcephaly, developmental delay and behavioral abnormalities as previously described. The CNVs were of varying sizes and were likely mediated by non-allelic homologous recombination between low copy repeats. Our findings expand the repertoire of clinical features observed in patients with CNV in 16p13.11 and strengthen the hypothesis that this is a dosage sensitive region with clinical relevance.


European Journal of Human Genetics | 2014

Combined array CGH plus SNP genome analyses in a single assay for optimized clinical testing

Joanna Wiszniewska; Weimin Bi; Chad A. Shaw; Pawel Stankiewicz; Sung-Hae Lee Kang; Amber N. Pursley; Seema R. Lalani; Patricia Hixson; Tomasz Gambin; Chun-Hui Tsai; Hans-Georg O. Bock; Maria Descartes; Frank J. Probst; Fernando Scaglia; Arthur L. Beaudet; James R. Lupski; Christine M. Eng; Sau Wai Cheung; Carlos A. Bacino; Ankita Patel

In clinical diagnostics, both array comparative genomic hybridization (array CGH) and single nucleotide polymorphism (SNP) genotyping have proven to be powerful genomic technologies utilized for the evaluation of developmental delay, multiple congenital anomalies, and neuropsychiatric disorders. Differences in the ability to resolve genomic changes between these arrays may constitute an implementation challenge for clinicians: which platform (SNP vs array CGH) might best detect the underlying genetic cause for the disease in the patient? While only SNP arrays enable the detection of copy number neutral regions of absence of heterozygosity (AOH), they have limited ability to detect single-exon copy number variants (CNVs) due to the distribution of SNPs across the genome. To provide comprehensive clinical testing for both CNVs and copy-neutral AOH, we enhanced our custom-designed high-resolution oligonucleotide array that has exon-targeted coverage of 1860 genes with 60 000 SNP probes, referred to as Chromosomal Microarray Analysis – Comprehensive (CMA-COMP). Of the 3240 cases evaluated by this array, clinically significant CNVs were detected in 445 cases including 21 cases with exonic events. In addition, 162 cases (5.0%) showed at least one AOH region >10 Mb. We demonstrate that even though this array has a lower density of SNP probes than other commercially available SNP arrays, it reliably detected AOH events >10 Mb as well as exonic CNVs beyond the detection limitations of SNP genotyping. Thus, combining SNP probes and exon-targeted array CGH into one platform provides clinically useful genetic screening in an efficient manner.


Genome Research | 2013

Deletions of recessive disease genes: CNV contribution to carrier states and disease-causing alleles

Philip M. Boone; Ian M. Campbell; Brett C. Baggett; Zachry T. Soens; Mitchell M. Rao; Patricia Hixson; Ankita Patel; Weimin Bi; Sau Wai Cheung; Seema R. Lalani; Arthur L. Beaudet; Pawel Stankiewicz; Chad A. Shaw; James R. Lupski

Over 1200 recessive disease genes have been described in humans. The prevalence, allelic architecture, and per-genome load of pathogenic alleles in these genes remain to be fully elucidated, as does the contribution of DNA copy-number variants (CNVs) to carrier status and recessive disease. We mined CNV data from 21,470 individuals obtained by array-comparative genomic hybridization in a clinical diagnostic setting to identify deletions encompassing or disrupting recessive disease genes. We identified 3212 heterozygous potential carrier deletions affecting 419 unique recessive disease genes. Deletion frequency of these genes ranged from one occurrence to 1.5%. When compared with recessive disease genes never deleted in our cohort, the 419 recessive disease genes affected by at least one carrier deletion were longer and located farther from known dominant disease genes, suggesting that the formation and/or prevalence of carrier CNVs may be affected by both local and adjacent genomic features and by selection. Some subjects had multiple carrier CNVs (307 subjects) and/or carrier deletions encompassing more than one recessive disease gene (206 deletions). Heterozygous deletions spanning multiple recessive disease genes may confer carrier status for multiple single-gene disorders, for complex syndromes resulting from the combination of two or more recessive conditions, or may potentially cause clinical phenotypes due to a multiply heterozygous state. In addition to carrier mutations, we identified homozygous and hemizygous deletions potentially causative for recessive disease. We provide further evidence that CNVs contribute to the allelic architecture of both carrier and recessive disease-causing mutations. Thus, a complete recessive carrier screening method or diagnostic test should detect CNV alleles.


European Journal of Human Genetics | 2013

Rare DNA copy number variants in cardiovascular malformations with extracardiac abnormalities.

Seema R. Lalani; Chad A. Shaw; Xueqing Wang; Ankita Patel; Lance W. Patterson; Katarzyna E. Kolodziejska; Przemyslaw Szafranski; Zhishuo Ou; Qi Tian; Sung Hae L Kang; Amina Jinnah; Sophia Ali; Aamir Malik; Patricia Hixson; Lorraine Potocki; James R. Lupski; Pawel Stankiewicz; Carlos A. Bacino; Brian Dawson; Arthur L. Beaudet; Fatima M. Boricha; Runako Whittaker; Chumei Li; Stephanie M. Ware; Sau Wai Cheung; Daniel J. Penny; John L. Jefferies; John W. Belmont

Clinically significant cardiovascular malformations (CVMs) occur in 5–8 per 1000 live births. Recurrent copy number variations (CNVs) are among the known causes of syndromic CVMs, accounting for an important fraction of cases. We hypothesized that many additional rare CNVs also cause CVMs and can be detected in patients with CVMs plus extracardiac anomalies (ECAs). Through a genome-wide survey of 203 subjects with CVMs and ECAs, we identified 55 CNVs >50 kb in length that were not present in children without known cardiovascular defects (n=872). Sixteen unique CNVs overlapping these variants were found in an independent CVM plus ECA cohort (n=511), which were not observed in 2011 controls. The study identified 12/16 (75%) novel loci including non-recurrent de novo 16q24.3 loss (4/714) and de novo 2q31.3q32.1 loss encompassing PPP1R1C and PDE1A (2/714). The study also narrowed critical intervals in three well-recognized genomic disorders of CVM, such as the cat-eye syndrome region on 22q11.1, 8p23.1 loss encompassing GATA4 and SOX7 and 17p13.3-p13.2 loss. An analysis of protein-interaction databases shows that the rare inherited and de novo CNVs detected in the combined cohort are enriched for genes encoding proteins that are direct or indirect partners of proteins known to be required for normal cardiac development. Our findings implicate rare variants such as 16q24.3 loss and 2q31.3-q32.1 loss, and delineate regions within previously reported structural variants known to cause CVMs.


Nucleic Acids Research | 2015

Genome-wide analyses of LINE–LINE-mediated nonallelic homologous recombination

Michał Startek; Przemyslaw Szafranski; Tomasz Gambin; Ian M. Campbell; Patricia Hixson; Chad A. Shaw; Pawel Stankiewicz; Anna Gambin

Nonallelic homologous recombination (NAHR), occurring between low-copy repeats (LCRs) >10 kb in size and sharing >97% DNA sequence identity, is responsible for the majority of recurrent genomic rearrangements in the human genome. Recent studies have shown that transposable elements (TEs) can also mediate recurrent deletions and translocations, indicating the features of substrates that mediate NAHR may be significantly less stringent than previously believed. Using >4 kb length and >95% sequence identity criteria, we analyzed of the genome-wide distribution of long interspersed element (LINE) retrotransposon and their potential to mediate NAHR. We identified 17 005 directly oriented LINE pairs located <10 Mbp from each other as potential NAHR substrates, placing 82.8% of the human genome at risk of LINE–LINE-mediated instability. Cross-referencing these regions with CNVs in the Baylor College of Medicine clinical chromosomal microarray database of 36 285 patients, we identified 516 CNVs potentially mediated by LINEs. Using long-range PCR of five different genomic regions in a total of 44 patients, we confirmed that the CNV breakpoints in each patient map within the LINE elements. To additionally assess the scale of LINE–LINE/NAHR phenomenon in the human genome, we tested DNA samples from six healthy individuals on a custom aCGH microarray targeting LINE elements predicted to mediate CNVs and identified 25 LINE–LINE rearrangements. Our data indicate that LINE–LINE-mediated NAHR is widespread and under-recognized, and is an important mechanism of structural rearrangement contributing to human genomic variability.


European Journal of Human Genetics | 2014

Somatic mosaicism detected by exon-targeted, high-resolution aCGH in 10 362 consecutive cases

Justin Pham; Chad A. Shaw; Amber Pursley; Patricia Hixson; Srirangan Sampath; Erin K. Roney; Tomasz Gambin; Sung-Hae L. Kang; Weimin Bi; Seema R. Lalani; Carlos A. Bacino; James R. Lupski; Pawel Stankiewicz; Ankita Patel; S.W. Cheung

Somatic chromosomal mosaicism arising from post-zygotic errors is known to cause several well-defined genetic syndromes as well as contribute to phenotypic variation in diseases. However, somatic mosaicism is often under-diagnosed due to challenges in detection. We evaluated 10 362 patients with a custom-designed, exon-targeted whole-genome oligonucleotide array and detected somatic mosaicism in a total of 57 cases (0.55%). The mosaicism was characterized and confirmed by fluorescence in situ hybridization (FISH) and/or chromosome analysis. Different categories of abnormal cell lines were detected: (1) aneuploidy, including sex chromosome abnormalities and isochromosomes (22 cases), (2) ring or marker chromosomes (12 cases), (3) single deletion/duplication copy number variations (CNVs) (11 cases), (4) multiple deletion/duplication CNVs (5 cases), (5) exonic CNVs (4 cases), and (6) unbalanced translocations (3 cases). Levels of mosaicism calculated based on the array data were in good concordance with those observed by FISH (10–93%). Of the 14 cases evaluated concurrently by chromosome analysis, mosaicism was detected solely by the array in 4 cases (29%). In summary, our exon-targeted array further expands the diagnostic capability of high-resolution array comparative genomic hybridization in detecting mosaicism for cytogenetic abnormalities as well as small CNVs in disease-causing genes.


BMC Biology | 2014

Human endogenous retroviral elements promote genome instability via non-allelic homologous recombination

Ian M. Campbell; Tomasz Gambin; Piotr Dittwald; Christine R. Beck; Andrey Shuvarikov; Patricia Hixson; Ankita Patel; Anna Gambin; Chad A. Shaw; Jill A. Rosenfeld; Pawel Stankiewicz

BackgroundRecurrent rearrangements of the human genome resulting in disease or variation are mainly mediated by non-allelic homologous recombination (NAHR) between low-copy repeats. However, other genomic structures, including AT-rich palindromes and retroviruses, have also been reported to underlie recurrent structural rearrangements. Notably, recurrent deletions of Yq12 conveying azoospermia, as well as non-pathogenic reciprocal duplications, are mediated by human endogenous retroviral elements (HERVs). We hypothesized that HERV elements throughout the genome can serve as substrates for genomic instability and result in human copy-number variation (CNV).ResultsWe developed parameters to identify HERV elements similar to those that mediate Yq12 rearrangements as well as recurrent deletions of 3q13.2q13.31. We used these parameters to identify HERV pairs genome-wide that may cause instability. Our analysis highlighted 170 pairs, flanking 12.1% of the genome. We cross-referenced these predicted susceptibility regions with CNVs from our clinical databases for potentially HERV-mediated rearrangements and identified 78 CNVs. We subsequently molecularly confirmed recurrent deletion and duplication rearrangements at four loci in ten individuals, including reciprocal rearrangements at two loci. Breakpoint sequencing revealed clustering in regions of high sequence identity enriched in PRDM9-mediated recombination hotspot motifs.ConclusionsThe presence of deletions and reciprocal duplications suggests NAHR as the causative mechanism of HERV-mediated CNV, even though the length and the sequence homology of the HERV elements are less than currently thought to be required for NAHR. We propose that in addition to HERVs, other repetitive elements, such as long interspersed elements, may also be responsible for the formation of recurrent CNVs via NAHR.


European Journal of Human Genetics | 2012

Delineation of a deletion region critical for corpus callosal abnormalities in chromosome 1q43–q44

Sandesh C.S. Nagamani; Ayelet Erez; Carolyn Bay; Anjana Pettigrew; Seema R. Lalani; Kristin Herman; Brett H. Graham; Małgorzata J.M. Nowaczyk; Monica Proud; William J. Craigen; Bobbi Hopkins; Beth A. Kozel; Katie Plunkett; Patricia Hixson; Pawel Stankiewicz; Ankita Patel; Sau Wai Cheung

Submicroscopic deletions involving chromosome 1q43–q44 result in cognitive impairment, microcephaly, growth restriction, dysmorphic features, and variable involvement of other organ systems. A consistently observed feature in patients with this deletion are the corpus callosal abnormalities (CCAs), ranging from thinning and hypoplasia to complete agenesis. Previous studies attempting to delineate the critical region for CCAs have yielded inconsistent results. We conducted a detailed clinical and molecular characterization of seven patients with deletions of chromosome 1q43–q44. Using array comparative genomic hybridization, we mapped the size, extent, and genomic content of these deletions. Four patients had CCAs, and shared the smallest region of overlap that contains only three protein coding genes, CEP170, SDCCAG8, and ZNF238. One patient with a small deletion involving SDCCAG8 and AKT3, and another patient with an intragenic deletion of AKT3 did not have any CCA, implying that the loss of these two genes is unlikely to be the cause of CCA. CEP170 is expressed extensively in the brain, and encodes for a protein that is a component of the centrosomal complex. ZNF238 is involved in control of neuronal progenitor cells and survival of cortical neurons. Our results rule out the involvement of AKT3, and implicate CEP170 and/or ZNF238 as novel genes causative for CCA in patients with a terminal 1q deletion.

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Ankita Patel

Baylor College of Medicine

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Sau Wai Cheung

Baylor College of Medicine

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Pawel Stankiewicz

Baylor College of Medicine

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Chad A. Shaw

Baylor College of Medicine

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Weimin Bi

Baylor College of Medicine

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James R. Lupski

Baylor College of Medicine

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Seema R. Lalani

Baylor College of Medicine

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Arthur L. Beaudet

Baylor College of Medicine

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Carlos A. Bacino

Baylor College of Medicine

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Amber N. Pursley

Baylor College of Medicine

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