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Articles 391 - 420 of 436
Full-Text Articles in Genetics and Genomics
Mitochondrial Dysfunction Reactivates Α-Fetoprotein Expression That Drives Copper-Dependent Immunosuppression In Mitochondrial Disease Models, Kimberly A Jett, Zakery N Baker, Amzad Hossain, Aren Boulet, Paul A Cobine, Sagnika Ghosh, Philip Ng, Orhan Yilmaz, Kris Barreto, John Decoteau, Karen Mochoruk, George N Ioannou, Christopher Savard, Sai Yuan, Osama Hmh Abdalla, Christopher Lowden, Byung-Eun Kim, Hai-Ying Mary Cheng, Brendan J Battersby, Vishal M Gohil, Scot C Leary
Mitochondrial Dysfunction Reactivates Α-Fetoprotein Expression That Drives Copper-Dependent Immunosuppression In Mitochondrial Disease Models, Kimberly A Jett, Zakery N Baker, Amzad Hossain, Aren Boulet, Paul A Cobine, Sagnika Ghosh, Philip Ng, Orhan Yilmaz, Kris Barreto, John Decoteau, Karen Mochoruk, George N Ioannou, Christopher Savard, Sai Yuan, Osama Hmh Abdalla, Christopher Lowden, Byung-Eun Kim, Hai-Ying Mary Cheng, Brendan J Battersby, Vishal M Gohil, Scot C Leary
Faculty, Staff and Students Publications
Signaling circuits crucial to systemic physiology are widespread, yet uncovering their molecular underpinnings remains a barrier to understanding the etiology of many metabolic disorders. Here, we identified a copper-linked signaling circuit activated by disruption of mitochondrial function in the murine liver or heart that resulted in atrophy of the spleen and thymus and caused a peripheral white blood cell deficiency. We demonstrated that the leukopenia was caused by α-fetoprotein, which required copper and the cell surface receptor CCR5 to promote white blood cell death. We further showed that α-fetoprotein expression was upregulated in several cell types upon inhibition of oxidative …
Follistatin Regulates The Specification Of The Apical Cochlea Responsible For Low-Frequency Hearing In Mammals, Hei Yeun Koo, Min-A Kim, Hyehyun Min, Jae Yeon Hwang, Meenakshi Prajapati-Dinubila, Kwan Soo Kim, Martin M Matzuk, Juw Won Park, Angelika Doetzlhofer, Un-Kyung Kim, Jinwoong Bok
Follistatin Regulates The Specification Of The Apical Cochlea Responsible For Low-Frequency Hearing In Mammals, Hei Yeun Koo, Min-A Kim, Hyehyun Min, Jae Yeon Hwang, Meenakshi Prajapati-Dinubila, Kwan Soo Kim, Martin M Matzuk, Juw Won Park, Angelika Doetzlhofer, Un-Kyung Kim, Jinwoong Bok
Faculty, Staff and Students Publications
The cochlea's ability to discriminate sound frequencies is facilitated by a special topography along its longitudinal axis known as tonotopy. Auditory hair cells located at the base of the cochlea respond to high-frequency sounds, whereas hair cells at the apex respond to lower frequencies. Gradual changes in morphological and physiological features along the length of the cochlea determine each region's frequency selectivity, but it remains unclear how tonotopy is established during cochlear development. Recently, sonic hedgehog (SHH) was proposed to initiate the establishment of tonotopy by conferring regional identity to the primordial cochlea. Here, using mouse genetics, we provide in …
The Assembled Genome Of The Stroke-Prone Spontaneously Hypertensive Rat, Theodore S Kalbfleisch, Nahla A Hussien Abouel Ela, Kai Li, Wesley A Brashear, Kelli J Kochan, Andrew E Hillhouse, Yaming Zhu, Isha S Dhande, Eric J Kline, Elizabeth A Hudson, Terence D Murphy, Françoise Thibaud-Nissen, Melissa L Smith, Peter A Doris
The Assembled Genome Of The Stroke-Prone Spontaneously Hypertensive Rat, Theodore S Kalbfleisch, Nahla A Hussien Abouel Ela, Kai Li, Wesley A Brashear, Kelli J Kochan, Andrew E Hillhouse, Yaming Zhu, Isha S Dhande, Eric J Kline, Elizabeth A Hudson, Terence D Murphy, Françoise Thibaud-Nissen, Melissa L Smith, Peter A Doris
Faculty, Staff and Student Publications
BACKGROUND: We report the creation and evaluation of a de novo assembly of the genome of the spontaneously hypertensive rat, the most widely used model of human cardiovascular disease.
METHODS: The genome is assembled from long read sequencing (PacBio HiFi and continuous long read data [CLR]) and scaffolded with long-range structural information obtained from Bionano optical maps and proximity ligation sequencing proximity analysis of the genome. The genome assembly was polished with Illumina short reads. Completeness of the assembly was investigated using Benchmarking Universal Single Copy Orthologs analysis. The genome assembly was also evaluated with the rat reference gene set, …
Artificial Intelligence-Driven Meta-Analysis Of Brain Gene Expression Identifies Novel Gene Candidates And A Role For Mitochondria In Alzheimer’S Disease, Caitlin A Finney, Fabien Delerue, Wendy A Gold, David A Brown, Artur Shvetcov
Artificial Intelligence-Driven Meta-Analysis Of Brain Gene Expression Identifies Novel Gene Candidates And A Role For Mitochondria In Alzheimer’S Disease, Caitlin A Finney, Fabien Delerue, Wendy A Gold, David A Brown, Artur Shvetcov
Faculty, Staff and Student Publications
Alzheimer's disease (AD) is the most common form of dementia. There is no treatment and AD models have focused on a small subset of genes identified in familial AD. Microarray studies have identified thousands of dysregulated genes in the brains of patients with AD yet identifying the best gene candidates to both model and treat AD remains a challenge. We performed a meta-analysis of microarray data from the frontal cortex (n = 697) and cerebellum (n = 230) of AD patients and healthy controls. A two-stage artificial intelligence approach, with both unsupervised and supervised machine learning, combined with a functional …
Proceedings Of The 2023 Santa Fe Bone Symposium: Progress And Controversies In The Management Of Patients With Skeletal Diseases, E Michael Lewiecki, Teresita Bellido, John P Bilezikian, Jacques P Brown, Azeez Farooki, Christopher S Kovacs, Brendan Lee, William D Leslie, Michael R Mcclung, Mark L Prasarn, Deborah E Sellmeyer
Proceedings Of The 2023 Santa Fe Bone Symposium: Progress And Controversies In The Management Of Patients With Skeletal Diseases, E Michael Lewiecki, Teresita Bellido, John P Bilezikian, Jacques P Brown, Azeez Farooki, Christopher S Kovacs, Brendan Lee, William D Leslie, Michael R Mcclung, Mark L Prasarn, Deborah E Sellmeyer
Faculty, Staff and Students Publications
The Santa Fe Bone Symposium (SFBS) held its 23rd annual event on August 5-6, 2023, in Santa Fe, New Mexico, USA. Attendees participated in-person and remotely, representing many states and countries. The program included plenary presentations, panel discussions, satellite symposia, a Project ECHO workshop, and a session on healthcare policy and reimbursement for fracture liaison programs. A broad range of topics were addressed, including transitions of osteoporosis treatments over a lifetime; controversies in vitamin D; update on Official Positions of the International Society for Clinical Densitometry; spine surgery and bone health; clinical applications of bone turnover markers; basic bone biology …
Circulating Tumor Dna Sequencing Of Pediatric Solid And Brain Tumor Patients: An Institutional Feasibility Study, Ross Mangum, Jacquelyn Reuther, Koel Sen Baksi, Ilavarasi Gandhi, Ryan C Zabriskie, Alva Recinos, Robin Raesz-Martinez, Frank Y Lin, Samara L Potter, Andrew C Sher, Stephen F Kralik, Carrie A Mohila, Murali M Chintagumpala, Donna Muzny, Jianhong Hu, Richard A Gibbs, Kevin E Fisher, Juan Carlos Bernini, Jonathan Gill, Timothy C Griffin, Gail E Tomlinson, Kelly L Vallance, Sharon E Plon, Angshumoy Roy, D Williams Parsons
Circulating Tumor Dna Sequencing Of Pediatric Solid And Brain Tumor Patients: An Institutional Feasibility Study, Ross Mangum, Jacquelyn Reuther, Koel Sen Baksi, Ilavarasi Gandhi, Ryan C Zabriskie, Alva Recinos, Robin Raesz-Martinez, Frank Y Lin, Samara L Potter, Andrew C Sher, Stephen F Kralik, Carrie A Mohila, Murali M Chintagumpala, Donna Muzny, Jianhong Hu, Richard A Gibbs, Kevin E Fisher, Juan Carlos Bernini, Jonathan Gill, Timothy C Griffin, Gail E Tomlinson, Kelly L Vallance, Sharon E Plon, Angshumoy Roy, D Williams Parsons
Faculty, Staff and Students Publications
The potential of circulating tumor DNA (ctDNA) analysis to serve as a real-time "liquid biopsy" for children with central nervous system (CNS) and non-CNS solid tumors remains to be fully elucidated. We conducted a study to investigate the feasibility and potential clinical utility of ctDNA sequencing in pediatric patients enrolled on an institutional clinical genomics trial. A total of 240 patients had tumor DNA profiling performed during the study period. Plasma samples were collected at study enrollment from 217 patients and then longitudinally from a subset of patients. Successful cell-free DNA extraction and quantification occurred in 216 of 217 (99.5%) …
Differential Regulation Of Skeletal Stem/Progenitor Cells In Distinct Skeletal Compartments, Jea Giezl Niedo Solidum, Youngjae Jeong, Francisco Heralde, Dongsu Park
Differential Regulation Of Skeletal Stem/Progenitor Cells In Distinct Skeletal Compartments, Jea Giezl Niedo Solidum, Youngjae Jeong, Francisco Heralde, Dongsu Park
Faculty, Staff and Students Publications
Skeletal stem/progenitor cells (SSPCs), characterized by self-renewal and multipotency, are essential for skeletal development, bone remodeling, and bone repair. These cells have traditionally been known to reside within the bone marrow, but recent studies have identified the presence of distinct SSPC populations in other skeletal compartments such as the growth plate, periosteum, and calvarial sutures. Differences in the cellular and matrix environment of distinct SSPC populations are believed to regulate their stemness and to direct their roles at different stages of development, homeostasis, and regeneration; differences in embryonic origin and adjacent tissue structures also affect SSPC regulation. As these SSPC …
Variantsurvival: A Tool To Identify Genotype-Treatment Response, Thomas Krannich, Marina Herrera Sarrias, Hiba Ben Aribi, Moustafa Shokrof, Alfredo Iacoangeli, Ammar Al-Chalabi, Fritz J Sedlazeck, Ben Busby, Ahmad Al Khleifat
Variantsurvival: A Tool To Identify Genotype-Treatment Response, Thomas Krannich, Marina Herrera Sarrias, Hiba Ben Aribi, Moustafa Shokrof, Alfredo Iacoangeli, Ammar Al-Chalabi, Fritz J Sedlazeck, Ben Busby, Ahmad Al Khleifat
Faculty, Staff and Students Publications
A Population-Based Assessment Of Metastatic Hepatoblastoma In Texas Reveals Ethnic Disparities, Andres F Espinoza, Michael E Scheurer, Tiffany M Chambers, Sanjeev A Vasudevan, Philip J Lupo
A Population-Based Assessment Of Metastatic Hepatoblastoma In Texas Reveals Ethnic Disparities, Andres F Espinoza, Michael E Scheurer, Tiffany M Chambers, Sanjeev A Vasudevan, Philip J Lupo
Faculty, Staff and Students Publications
BACKGROUND: Hepatoblastoma (HB) is the most common primary liver cancer in children with emerging evidence that incidence is increasing globally. While overall survival for low risk hepatoblastoma is >90%, children with metastatic disease have worse survival. As identifying factors associated with high-risk disease is critical for improving outcomes for these children, a need for a further understanding of the epidemiology of hepatoblastoma is warranted. Therefore, we conducted a population-based epidemiologic study of hepatoblastoma in Texas, a large state characterized by ethnic and geographic diversity.
METHODS: Information on children diagnosed with hepatoblastoma at 0-19 years of age for the period of …
Ultrahigh Resolution Lipid Mass Spectrometry Imaging Of High-Grade Serous Ovarian Cancer Mouse Models, Xin Ma, Andro Botros, Sylvia R Yun, Eun Young Park, Olga Kim, Soojin Park, Thu-Huyen Pham, Ruihong Chen, Murugesan Palaniappan, Martin M Matzuk, Jaeyeon Kim, Facundo M Fernández
Ultrahigh Resolution Lipid Mass Spectrometry Imaging Of High-Grade Serous Ovarian Cancer Mouse Models, Xin Ma, Andro Botros, Sylvia R Yun, Eun Young Park, Olga Kim, Soojin Park, Thu-Huyen Pham, Ruihong Chen, Murugesan Palaniappan, Martin M Matzuk, Jaeyeon Kim, Facundo M Fernández
Faculty, Staff and Students Publications
No effective screening tools for ovarian cancer (OC) exist, making it one of the deadliest cancers among women. Considering that little is known about the detailed progression and metastasis mechanism of OC at a molecular level, it is crucial to gain more insights into how metabolic and signaling alterations accompany its development. Herein, we present a comprehensive study using ultra-high-resolution Fourier transform ion cyclotron resonance matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) to investigate the spatial distribution and alterations of lipids in ovarian tissues collected from double knockout (n = 4) and triple mutant mouse models (n …
Disease Modeling Of Adamts9-Related Nephropathy Using Kidney Organoids Reveals Its Roles In Tubular Cells And Podocytes, Seyoung Yu, Yo Jun Choi, John Hoon Rim, Hye-Youn Kim, Nasim Bekheirnia, Sarah Jane Swartz, Hongzheng Dai, Shen Linda Gu, Soyeon Lee, Ryuichi Nishinakamura, Friedhelm Hildebrandt, Mir Reza Bekheirnia, Heon Yung Gee
Disease Modeling Of Adamts9-Related Nephropathy Using Kidney Organoids Reveals Its Roles In Tubular Cells And Podocytes, Seyoung Yu, Yo Jun Choi, John Hoon Rim, Hye-Youn Kim, Nasim Bekheirnia, Sarah Jane Swartz, Hongzheng Dai, Shen Linda Gu, Soyeon Lee, Ryuichi Nishinakamura, Friedhelm Hildebrandt, Mir Reza Bekheirnia, Heon Yung Gee
Faculty, Staff and Students Publications
INTRODUCTION: Mutations in ADAMTS9 cause nephronophthisis-related ciliopathies (NPHP-RC), which are characterized by multiple developmental defects and kidney diseases. Patients with NPHP-RC usually have normal glomeruli and negligible or no proteinuria. Herein, we identified novel compound-heterozygous ADAMTS9 variants in two siblings with NPHP-RC who had glomerular manifestations, including proteinuria.
METHODS: To investigate whether ADAMTS9 dysfunction causes NPHP and glomerulopathy, we differentiated ADAMTS9 knockout human induced pluripotent stem cells (hiPSCs) into kidney organoids. Single-cell RNA sequencing was utilized to elucidate the gene expression profiles from the ADAMTS9 knockout kidney organoids.
RESULTS:ADAMTS9 knockout had no effect on nephron differentiation; however, it reduced …
Sphingolipids In Neurodegenerative Diseases, Xueyang Pan, Debdeep Dutta, Shenzhao Lu, Hugo J Bellen
Sphingolipids In Neurodegenerative Diseases, Xueyang Pan, Debdeep Dutta, Shenzhao Lu, Hugo J Bellen
Faculty, Staff and Students Publications
Neurodegenerative Diseases (NDDs) are a group of disorders that cause progressive deficits of neuronal function. Recent evidence argues that sphingolipid metabolism is affected in a surprisingly broad set of NDDs. These include some lysosomal storage diseases (LSDs), hereditary sensory and autonomous neuropathy (HSAN), hereditary spastic paraplegia (HSP), infantile neuroaxonal dystrophy (INAD), Friedreich’s ataxia (FRDA), as well as some forms of amyotrophic lateral sclerosis (ALS) and Parkinson’s disease (PD). Many of these diseases have been modeled in Drosophila melanogaster and are associated with elevated levels of ceramides. Similar changes have also been reported in vertebrate cells and mouse models. Here, we …
Chromosomal Microarray Analysis Supplements Exome Sequencing To Diagnose Children With Suspected Inborn Errors Of Immunity, Breanna J Beers, Morgan N Similuk, Rajarshi Ghosh, Bryce A Seifert, Leila Jamal, Michael Kamen, Michael R Setzer, Colleen Jodarski, Rylee Duncan, Devin Hunt, Madison Mixer, Wenjia Cao, Weimin Bi, Daniel Veltri, Eric Karlins, Lingwen Zhang, Zhiwen Li, Andrew J Oler, Kathleen Jevtich, Yunting Yu, Haley Hullfish, Bibiana Bielekova, Pamela Frischmeyer-Guerrerio, An Dang Do, Laryssa A Huryn, Kenneth N Olivier, Helen C Su, Jonathan J Lyons, Christa S Zerbe, V Koneti Rao, Michael D Keller, Alexandra F Freeman, Steven M Holland, Luis M Franco, Magdalena A Walkiewicz, Jia Yan
Chromosomal Microarray Analysis Supplements Exome Sequencing To Diagnose Children With Suspected Inborn Errors Of Immunity, Breanna J Beers, Morgan N Similuk, Rajarshi Ghosh, Bryce A Seifert, Leila Jamal, Michael Kamen, Michael R Setzer, Colleen Jodarski, Rylee Duncan, Devin Hunt, Madison Mixer, Wenjia Cao, Weimin Bi, Daniel Veltri, Eric Karlins, Lingwen Zhang, Zhiwen Li, Andrew J Oler, Kathleen Jevtich, Yunting Yu, Haley Hullfish, Bibiana Bielekova, Pamela Frischmeyer-Guerrerio, An Dang Do, Laryssa A Huryn, Kenneth N Olivier, Helen C Su, Jonathan J Lyons, Christa S Zerbe, V Koneti Rao, Michael D Keller, Alexandra F Freeman, Steven M Holland, Luis M Franco, Magdalena A Walkiewicz, Jia Yan
Faculty, Staff and Students Publications
PURPOSE: Though copy number variants (CNVs) have been suggested to play a significant role in inborn errors of immunity (IEI), the precise nature of this role remains largely unexplored. We sought to determine the diagnostic contribution of CNVs using genome-wide chromosomal microarray analysis (CMA) in children with IEI.
METHODS: We performed exome sequencing (ES) and CMA for 332 unrelated pediatric probands referred for evaluation of IEI. The analysis included primary, secondary, and incidental findings.
RESULTS: Of the 332 probands, 134 (40.4%) received molecular diagnoses. Of these, 116/134 (86.6%) were diagnosed by ES alone. An additional 15/134 (11.2%) were diagnosed by …
Factors Associated With Nonsyndromic Anotia And Microtia, Texas, 1999–2014, Jeremy M Schraw, J P Woodhouse, Renata H Benjamin, Charles J Shumate, Joanne Nguyen, Mark A Canfield, A J Agopian, Philip J Lupo
Factors Associated With Nonsyndromic Anotia And Microtia, Texas, 1999–2014, Jeremy M Schraw, J P Woodhouse, Renata H Benjamin, Charles J Shumate, Joanne Nguyen, Mark A Canfield, A J Agopian, Philip J Lupo
Faculty, Staff and Students Publications
BACKGROUND: Few risk factors have been identified for nonsyndromic anotia/microtia (A/M).
METHODS: We obtained data on cases and a reference population of all livebirths in Texas for 1999-2014 from the Texas Birth Defects Registry (TBDR) and Texas vital records. We estimated prevalence ratios (PRs) and 95% confidence intervals (CIs) for A/M (any, isolated, nonisolated, unilateral, and bilateral) using Poisson regression. We evaluated trends in prevalence rates using Joinpoint regression.
RESULTS: We identified 1,322 cases, of whom 982 (74.3%) had isolated and 1,175 (88.9%) had unilateral A/M. Prevalence was increased among males (PR: 1.3, 95% CI: 1.2-1.4), offspring of women with …
Oocyte-Specific Wee1-Like Protein Kinase 2 Is Dispensable For Fertility In Mice, Kaori Nozawa, Zian Liao, Yuhkoh Satouh, Ting Geng, Masahito Ikawa, Diana Monsivais, Martin M Matzuk
Oocyte-Specific Wee1-Like Protein Kinase 2 Is Dispensable For Fertility In Mice, Kaori Nozawa, Zian Liao, Yuhkoh Satouh, Ting Geng, Masahito Ikawa, Diana Monsivais, Martin M Matzuk
Faculty, Staff and Students Publications
Wee1-like protein kinase 2 (WEE2) is an oocyte-specific protein tyrosine kinase involved in the regulation of oocyte meiotic arrest in humans. As such, it has been proposed as a candidate for non-hormonal female contraception although pre-clinical models have not been reported. Therefore, we developed two novel knockout mouse models using CRISPR/Cas9 to test loss-of-function of Wee2 on female fertility. A frameshift mutation at the Wee2 translation start codon in exon 2 had no effect on litter size, litter production, or the ability of oocytes to maintain prophase I arrest. Because of the lack of a reproductive phenotype, we additionally generated …
A Multicenter Cross-Sectional Study In Infants With Congenital Heart Defects Demonstrates High Diagnostic Yield Of Genetic Testing But Variable Evaluation Practices, Matthew D Durbin, Lindsey R Helvaty, Ming Li, William Border, Sara Fitzgerald-Butt, Vidu Garg, Gabrielle C Geddes, Benjamin M Helm, Seema R Lalani, Kim L Mcbride, Alexis Mcentire, Dana K Mitchell, Chaya N Murali, Stephanie B Wechsler, Benjamin J Landis, Stephanie M Ware
A Multicenter Cross-Sectional Study In Infants With Congenital Heart Defects Demonstrates High Diagnostic Yield Of Genetic Testing But Variable Evaluation Practices, Matthew D Durbin, Lindsey R Helvaty, Ming Li, William Border, Sara Fitzgerald-Butt, Vidu Garg, Gabrielle C Geddes, Benjamin M Helm, Seema R Lalani, Kim L Mcbride, Alexis Mcentire, Dana K Mitchell, Chaya N Murali, Stephanie B Wechsler, Benjamin J Landis, Stephanie M Ware
Faculty, Staff and Students Publications
PURPOSE: For patients with congenital heart disease (CHD), the most common birth defect, genetic evaluation is not universally accepted, and current practices are anecdotal. Here, we analyzed genetic evaluation practices across centers, determined diagnostic yield of testing, and identified phenotypic features associated with abnormal results.
METHODS: This is a multicenter cross-sectional study of 5 large children's hospitals, including 2899 children ≤14 months undergoing surgical repair for CHD from 2013 to 2016, followed by multivariate logistics regression analysis.
RESULTS: Genetic testing occurred in 1607 of 2899 patients (55%). Testing rates differed highly between institutions (42%-78%, P < .001). Choice of testing modality also differed across institutions (ie, chromosomal microarray, 26%-67%, P < .001). Genetic testing was abnormal in 702 of 1607 patients (44%), and no major phenotypic feature drove diagnostic yield. Only 849 patients were seen by geneticists (29%), ranging across centers (15%-52%, P < .001). Geneticist consultation associated with increased genetic testing yield (odds ratio: 5.7, 95% CI 4.33-7.58, P < .001).
CONCLUSION: Genetics …
Cloud-Native Distributed Genomic Pileup Operations, Marek Wiewiórka, Agnieszka Szmurło, Paweł Stankiewicz, Tomasz Gambin
Cloud-Native Distributed Genomic Pileup Operations, Marek Wiewiórka, Agnieszka Szmurło, Paweł Stankiewicz, Tomasz Gambin
Faculty, Staff and Students Publications
MOTIVATION: Pileup analysis is a building block of many bioinformatics pipelines, including variant calling and genotyping. This step tends to become a bottleneck of the entire assay since the straightforward pileup implementations involve processing of all base calls from all alignments sequentially. On the other hand, a distributed version of the algorithm faces the intrinsic challenge of splitting reads-oriented file formats into self-contained partitions to avoid costly data exchange between computational nodes.
RESULTS: Here, we present a scalable, distributed and efficient implementation of a pileup algorithm that is suitable for deploying in cloud computing environments. In particular, we implemented: (i) …
The Neurobiology Of Duration Of Untreated Psychosis: A Comprehensive Review, Anthony W Zoghbi, Jeffrey A Lieberman, Ragy R Girgis
The Neurobiology Of Duration Of Untreated Psychosis: A Comprehensive Review, Anthony W Zoghbi, Jeffrey A Lieberman, Ragy R Girgis
Faculty, Staff and Students Publications
Duration of untreated psychosis (DUP) is defined as the time from the onset of psychotic symptoms until the first treatment. Studies have shown that longer DUP is associated with poorer response rates to antipsychotic medications and impaired cognition, yet the neurobiologic correlates of DUP are poorly understood. Moreover, it has been hypothesized that untreated psychosis may be neurotoxic. Here, we conducted a comprehensive review of studies that have examined the neurobiology of DUP. Specifically, we included studies that evaluated DUP using a range of neurobiologic and imaging techniques and identified 83 articles that met inclusion and exclusion criteria. Overall, 27 …
Ageing And Rejuvenation Of Tissue Stem Cells And Their Niches, Anne Brunet, Margaret A Goodell, Thomas A Rando
Ageing And Rejuvenation Of Tissue Stem Cells And Their Niches, Anne Brunet, Margaret A Goodell, Thomas A Rando
Faculty, Staff and Students Publications
Most adult organs contain regenerative stem cells, often organized in specific niches. Stem cell function is critical for tissue homeostasis and repair upon injury, and it is dependent on interactions with the niche. During ageing, stem cells decline in their regenerative potential and ability to give rise to differentiated cells in the tissue, which is associated with a deterioration of tissue integrity and health. Ageing-associated changes in regenerative tissue regions include defects in maintenance of stem cell quiescence, differentiation ability and bias, clonal expansion and infiltration of immune cells in the niche. In this Review, we discuss cellular and molecular …
Evaluating The Proportion Of Isolated Cases Among A Spectrum Of Birth Defects In A Population-Based Registry, Peter H Langlois, Lisa Marengo, Philip J Lupo, Margaret Drummond-Borg, A J Agopian, Wendy N Nembhard, Mark A Canfield
Evaluating The Proportion Of Isolated Cases Among A Spectrum Of Birth Defects In A Population-Based Registry, Peter H Langlois, Lisa Marengo, Philip J Lupo, Margaret Drummond-Borg, A J Agopian, Wendy N Nembhard, Mark A Canfield
Faculty, Staff and Students Publications
INTRODUCTION: Because the etiology and outcomes of birth defects may differ by the presence vs. absence of co-occurring anomalies, epidemiologic studies often attempt to classify cases into isolated versus non-isolated groupings. This report describes a computer algorithm for such classification and presents results using data from the Texas Birth Defects Registry (TBDR).
METHODS: Each of the 1,041 birth defects coded by the TBDR was classified as chromosomal, syndromic, minor, or "needs review" by a group of three clinical geneticists. A SAS program applied those classifications to each birth defect in a case (child/fetus), and then hierarchically combined them to obtain …
Rare Diseases And Space Health: Optimizing Synergies From Scientific Questions To Care, Maria Puscas, Gabrielle Martineau, Gurjot Bhella, Penelope E Bonnen, Phil Carr, Robyn Lim, John Mitchell, Matthew Osmond, Emmanuel Urquieta, Jaime Flamenbaum, Giuseppe Iaria, Yann Joly, Étienne Richer, Joan Saary, David Saint-Jacques, Nicole Buckley, Etienne Low-Decarie
Rare Diseases And Space Health: Optimizing Synergies From Scientific Questions To Care, Maria Puscas, Gabrielle Martineau, Gurjot Bhella, Penelope E Bonnen, Phil Carr, Robyn Lim, John Mitchell, Matthew Osmond, Emmanuel Urquieta, Jaime Flamenbaum, Giuseppe Iaria, Yann Joly, Étienne Richer, Joan Saary, David Saint-Jacques, Nicole Buckley, Etienne Low-Decarie
Faculty, Staff and Students Publications
Knowledge transfer among research disciplines can lead to substantial research progress. At first glance, astronaut health and rare diseases may be seen as having little common ground for such an exchange. However, deleterious health conditions linked to human space exploration may well be considered as a narrow sub-category of rare diseases. Here, we compare and contrast research and healthcare in the contexts of rare diseases and space health and identify common barriers and avenues of improvement. The prevalent genetic basis of most rare disorders contrasts sharply with the occupational considerations required to sustain human health in space. Nevertheless small sample …
Data-Driven Biomarker Panel Discovery In Ovarian Cancer Using Heterogenous Data Fusion On Exosomal And Non-Exosomal Microrna Expression Data, Paritra Mandal
Data-Driven Biomarker Panel Discovery In Ovarian Cancer Using Heterogenous Data Fusion On Exosomal And Non-Exosomal Microrna Expression Data, Paritra Mandal
All Dissertations
Ovarian cancer (OC) is an aggressive gynecological cancer and is currently the 5th leading cause of deaths due to cancer in women. High mortality rates are attributable to the vague pathogenesis and asymptomatic nature of the early stages. The development of a liquid biopsy for routine OC screening could help identify the disease at an earlier stage, making treatments more likely to be effective thereby increasing survival rates. Exosomes, small (~100nm) extracellular vesicles present in body fluids, have been shown to contain cancer-progression, onset, and related factors, making them good candidates for use in liquid biopsies. However, to date, only …
Tceal1 Loss-Of-Function Results In An X-Linked Dominant Neurodevelopmental Syndrome And Drives The Neurological Disease Trait In Xq222 Deletions, Hadia Hijazi, Linda M Reis, Davut Pehlivan, Jonathan A Bernstein, Michael Muriello, Erin Syverson, Devon Bonner, Mehrdad A Estiar, Ziv Gan-Or, Guy A Rouleau, Ekaterina Lyulcheva, Lynn Greenhalgh, Marine Tessarech, Estelle Colin, Agnès Guichet, Dominique Bonneau, R H Van Jaarsveld, A M A Lachmeijer, Lyse Ruaud, Jonathan Levy, Anne-Claude Tabet, Rafal Ploski, Małgorzata Rydzanicz, Łukasz Kępczyński, Katarzyna Połatyńska, Yidan Li, Jawid M Fatih, Dana Marafi, Jill A Rosenfeld, Zeynep Coban-Akdemir, Weimin Bi, Richard A Gibbs, Grace M Hobson, Jill V Hunter, Claudia M B Carvalho, Jennifer E Posey, Elena V Semina, James R Lupski
Tceal1 Loss-Of-Function Results In An X-Linked Dominant Neurodevelopmental Syndrome And Drives The Neurological Disease Trait In Xq222 Deletions, Hadia Hijazi, Linda M Reis, Davut Pehlivan, Jonathan A Bernstein, Michael Muriello, Erin Syverson, Devon Bonner, Mehrdad A Estiar, Ziv Gan-Or, Guy A Rouleau, Ekaterina Lyulcheva, Lynn Greenhalgh, Marine Tessarech, Estelle Colin, Agnès Guichet, Dominique Bonneau, R H Van Jaarsveld, A M A Lachmeijer, Lyse Ruaud, Jonathan Levy, Anne-Claude Tabet, Rafal Ploski, Małgorzata Rydzanicz, Łukasz Kępczyński, Katarzyna Połatyńska, Yidan Li, Jawid M Fatih, Dana Marafi, Jill A Rosenfeld, Zeynep Coban-Akdemir, Weimin Bi, Richard A Gibbs, Grace M Hobson, Jill V Hunter, Claudia M B Carvalho, Jennifer E Posey, Elena V Semina, James R Lupski
Faculty, Staff and Student Publications
An Xq22.2 region upstream of PLP1 has been proposed to underly a neurological disease trait when deleted in 46,XX females. Deletion mapping revealed that heterozygous deletions encompassing the smallest region of overlap (SRO) spanning six Xq22.2 genes (BEX3, RAB40A, TCEAL4, TCEAL3, TCEAL1, and MORF4L2) associate with an early-onset neurological disease trait (EONDT) consisting of hypotonia, intellectual disability, neurobehavioral abnormalities, and dysmorphic facial features. None of the genes within the SRO have been associated with monogenic disease in OMIM. Through local and international collaborations facilitated by GeneMatcher and Matchmaker Exchange, we have identified and herein report seven de novo variants involving …
Privacy-Aware Estimation Of Relatedness In Admixed Populations, Su Wang, Miran Kim, Wentao Li, Xiaoqian Jiang, Han Chen, Arif Harmanci
Privacy-Aware Estimation Of Relatedness In Admixed Populations, Su Wang, Miran Kim, Wentao Li, Xiaoqian Jiang, Han Chen, Arif Harmanci
Faculty, Staff and Student Publications
BACKGROUND: Estimation of genetic relatedness, or kinship, is used occasionally for recreational purposes and in forensic applications. While numerous methods were developed to estimate kinship, they suffer from high computational requirements and often make an untenable assumption of homogeneous population ancestry of the samples. Moreover, genetic privacy is generally overlooked in the usage of kinship estimation methods. There can be ethical concerns about finding unknown familial relationships in third-party databases. Similar ethical concerns may arise while estimating and reporting sensitive population-level statistics such as inbreeding coefficients for the concerns around marginalization and stigmatization.
RESULTS: Here, we present SIGFRIED, which makes …
The Evolving Privacy And Security Concerns For Genomic Data Analysis And Sharing As Observed From The Idash Competition, Tsung-Ting Kuo, Xiaoqian Jiang, Haixu Tang, Xiaofeng Wang, Arif Harmanci, Miran Kim, Kai Post, Diyue Bu, Tyler Bath, Jihoon Kim, Weijie Liu, Hongbo Chen, Lucila Ohno-Machado
The Evolving Privacy And Security Concerns For Genomic Data Analysis And Sharing As Observed From The Idash Competition, Tsung-Ting Kuo, Xiaoqian Jiang, Haixu Tang, Xiaofeng Wang, Arif Harmanci, Miran Kim, Kai Post, Diyue Bu, Tyler Bath, Jihoon Kim, Weijie Liu, Hongbo Chen, Lucila Ohno-Machado
Faculty, Staff and Student Publications
Concerns regarding inappropriate leakage of sensitive personal information as well as unauthorized data use are increasing with the growth of genomic data repositories. Therefore, privacy and security of genomic data have become increasingly important and need to be studied. With many proposed protection techniques, their applicability in support of biomedical research should be well understood. For this purpose, we have organized a community effort in the past 8 years through the integrating data for analysis, anonymization and sharing consortium to address this practical challenge. In this article, we summarize our experience from these competitions, report lessons learned from the events …
A Multi-Omics Framework Reveals Strawberry Flavor Genes And Their Regulatory Elements, Zhen Fan, Denise M Tieman, Steven J Knapp, Philipp Zerbe, Randi Famula, Christopher R Barbey, Kevin M Folta, Rodrigo R Amadeu, Manbo Lee, Youngjae Oh, Seonghee Lee, Vance M Whitaker
A Multi-Omics Framework Reveals Strawberry Flavor Genes And Their Regulatory Elements, Zhen Fan, Denise M Tieman, Steven J Knapp, Philipp Zerbe, Randi Famula, Christopher R Barbey, Kevin M Folta, Rodrigo R Amadeu, Manbo Lee, Youngjae Oh, Seonghee Lee, Vance M Whitaker
Faculty, Staff and Student Publications
Flavor is essential to consumer preference of foods and is an increasing focus of plant breeding programs. In fruit crops, identifying genes underlying volatile organic compounds has great promise to accelerate flavor improvement, but polyploidy and heterozygosity in many species have slowed progress. Here we use octoploid cultivated strawberry to demonstrate how genomic heterozygosity, transcriptomic intricacy and fruit metabolomic diversity can be treated as strengths and leveraged to uncover fruit flavor genes and their regulatory elements. Multi-omics datasets were generated including an expression quantitative trait loci map with 196 diverse breeding lines, haplotype-phased genomes of a highly-flavored breeding selection, a …
Scgwas: Landscape Of Trait-Cell Type Associations By Integrating Single-Cell Transcriptomics-Wide And Genome-Wide Association Studies, Peilin Jia, Ruifeng Hu, Fangfang Yan, Yulin Dai, Zhongming Zhao
Scgwas: Landscape Of Trait-Cell Type Associations By Integrating Single-Cell Transcriptomics-Wide And Genome-Wide Association Studies, Peilin Jia, Ruifeng Hu, Fangfang Yan, Yulin Dai, Zhongming Zhao
Faculty, Staff and Student Publications
BACKGROUND: The rapid accumulation of single-cell RNA sequencing (scRNA-seq) data presents unique opportunities to decode the genetically mediated cell-type specificity in complex diseases. Here, we develop a new method, scGWAS, which effectively leverages scRNA-seq data to achieve two goals: (1) to infer the cell types in which the disease-associated genes manifest and (2) to construct cellular modules which imply disease-specific activation of different processes.
RESULTS: scGWAS only utilizes the average gene expression for each cell type followed by virtual search processes to construct the null distributions of module scores, making it scalable to large scRNA-seq datasets. We demonstrated scGWAS in …
Metarnn: Differentiating Rare Pathogenic And Rare Benign Missense Snvs And Indels Using Deep Learning, Chang Li, Degui Zhi, Kai Wang, Xiaoming Liu
Metarnn: Differentiating Rare Pathogenic And Rare Benign Missense Snvs And Indels Using Deep Learning, Chang Li, Degui Zhi, Kai Wang, Xiaoming Liu
Faculty, Staff and Student Publications
Multiple computational approaches have been developed to improve our understanding of genetic variants. However, their ability to identify rare pathogenic variants from rare benign ones is still lacking. Using context annotations and deep learning methods, we present pathogenicity prediction models, MetaRNN and MetaRNN-indel, to help identify and prioritize rare nonsynonymous single nucleotide variants (nsSNVs) and non-frameshift insertion/deletions (nfINDELs). We use independent test sets to demonstrate that these new models outperform state-of-the-art competitors and achieve a more interpretable score distribution. Importantly, prediction scores from both models are comparable, enabling easy adoption of integrated genotype-phenotype association analysis methods. All pre-computed nsSNV scores …
Svat: Secure Outsourcing Of Variant Annotation And Genotype Aggregation, Miran Kim, Su Wang, Xiaoqian Jiang, Arif Harmanci
Svat: Secure Outsourcing Of Variant Annotation And Genotype Aggregation, Miran Kim, Su Wang, Xiaoqian Jiang, Arif Harmanci
Faculty, Staff and Student Publications
BACKGROUND: Sequencing of thousands of samples provides genetic variants with allele frequencies spanning a very large spectrum and gives invaluable insight into genetic determinants of diseases. Protecting the genetic privacy of participants is challenging as only a few rare variants can easily re-identify an individual among millions. In certain cases, there are policy barriers against sharing genetic data from indigenous populations and stigmatizing conditions.
RESULTS: We present SVAT, a method for secure outsourcing of variant annotation and aggregation, which are two basic steps in variant interpretation and detection of causal variants. SVAT uses homomorphic encryption to encrypt the data at …
Machine Learning Modeling Of Protein-Intrinsic Features Predicts Tractability Of Targeted Protein Degradation, Wubing Zhang, Shourya S Roy Burman, Jiaye Chen, Katherine A Donovan, Yang Cao, Chelsea Shu, Boning Zhang, Zexian Zeng, Shengqing Gu, Yi Zhang, Dian Li, Eric S Fischer, Collin Tokheim, X Shirley Liu
Machine Learning Modeling Of Protein-Intrinsic Features Predicts Tractability Of Targeted Protein Degradation, Wubing Zhang, Shourya S Roy Burman, Jiaye Chen, Katherine A Donovan, Yang Cao, Chelsea Shu, Boning Zhang, Zexian Zeng, Shengqing Gu, Yi Zhang, Dian Li, Eric S Fischer, Collin Tokheim, X Shirley Liu
Faculty, Staff and Student Publications
Targeted protein degradation (TPD) has rapidly emerged as a therapeutic modality to eliminate previously undruggable proteins by repurposing the cell’s endogenous protein degradation machinery. However, the susceptibility of proteins for targeting by TPD approaches, termed “degradability”, is largely unknown. Here, we developed a machine learning model, model-free analysis of protein degradability (MAPD), to predict degradability from features intrinsic to protein targets. MAPD shows accurate performance in predicting kinases that are degradable by TPD compounds [with an area under the precision–recall curve (AUPRC) of 0.759 and an area under the receiver operating characteristic curve (AUROC) of 0.775] and is …