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Full-Text Articles in Medicine and Health Sciences
Adding Gene Transcripts Into Genomic Prediction Improves Accuracy And Reveals Sampling Time Dependence., Bruno C Perez, Marco C A M Bink, Karen L. Svenson, Gary Churchill, Mario P L Calus
Adding Gene Transcripts Into Genomic Prediction Improves Accuracy And Reveals Sampling Time Dependence., Bruno C Perez, Marco C A M Bink, Karen L. Svenson, Gary Churchill, Mario P L Calus
Faculty Research 2022
Recent developments allowed generating multiple high-quality 'omics' data that could increase the predictive performance of genomic prediction for phenotypes and genetic merit in animals and plants. Here, we have assessed the performance of parametric and nonparametric models that leverage transcriptomics in genomic prediction for 13 complex traits recorded in 478 animals from an outbred mouse population. Parametric models were implemented using the best linear unbiased prediction, while nonparametric models were implemented using the gradient boosting machine algorithm. We also propose a new model named GTCBLUP that aims to remove between-omics-layer covariance from predictors, whereas its counterpart GTBLUP does not do …
[Rare-Disease Data Standards]., Peter N Robinson, Holm Graessner
[Rare-Disease Data Standards]., Peter N Robinson, Holm Graessner
Faculty Research 2022
The use of standardized data formats (data standards) in healthcare supports four main goals: (1) exchange of data, (2) integration of computer systems and tools, (3) data storage and archiving, and (4) support of federated databases. Standards are especially important for rare-disease research and clinical care.In this review, we introduce healthcare standards and present a selection of standards that are commonly used in the field of rare diseases. The Human Phenotype Ontology (HPO) is the most commonly used standard for annotating phenotypic abnormalities and supporting phenotype-driven analysis of diagnostic exome and genome sequencing. Numerous standards for diseases are available that …
Epigenetic Activation Of The Flt3 Gene By Znf384 Fusion Confers A Therapeutic Susceptibility In Acute Lymphoblastic Leukemia., Xujie Zhao, Ping Wang, Jonathan D Diedrich, Brandon Smart, Noemi Reyes, Satoshi Yoshimura, Jingliao Zhang, Wentao Yang, Kelly Barnett, Beisi Xu, Zhenhua Li, Xin Huang, Jiyang Yu, Kristine Crews, Allen Eng Juh Yeoh, Marina Konopleva, Chia-Lin Wei, Ching-Hon Pui, Daniel Savic, Jun J Yang
Epigenetic Activation Of The Flt3 Gene By Znf384 Fusion Confers A Therapeutic Susceptibility In Acute Lymphoblastic Leukemia., Xujie Zhao, Ping Wang, Jonathan D Diedrich, Brandon Smart, Noemi Reyes, Satoshi Yoshimura, Jingliao Zhang, Wentao Yang, Kelly Barnett, Beisi Xu, Zhenhua Li, Xin Huang, Jiyang Yu, Kristine Crews, Allen Eng Juh Yeoh, Marina Konopleva, Chia-Lin Wei, Ching-Hon Pui, Daniel Savic, Jun J Yang
Faculty Research 2022
FLT3 is an attractive therapeutic target in acute lymphoblastic leukemia (ALL) but the mechanism for its activation in this cancer is incompletely understood. Profiling global gene expression in large ALL cohorts, we identify over-expression of FLT3 in ZNF384-rearranged ALL, consistently across cases harboring different fusion partners with ZNF384. Mechanistically, we discover an intergenic enhancer element at the FLT3 locus that is exclusively activated in ZNF384-rearranged ALL, with the enhancer-promoter looping directly mediated by the fusion protein. There is also a global enrichment of active enhancers within ZNF384 binding sites across the genome in ZNF384-rearranged ALL cells. Downregulation of ZNF384 blunts …
Integrative Analysis Of Clinical And Epigenetic Biomarkers Of Mortality, Tianxiao Huan, Steve Nguyen, Elena Colicino, Carolina Ochoa-Rosales, W David Hill, Jennifer A Brody, Mette Soerensen, Yan Zhang, Antoine Baldassari, Mohamed Ahmed Elhadad, Tanaka Toshiko, Yinan Zheng, Arce Domingo-Relloso, Dong Heon Lee, Jiantao Ma, Chen Yao, Chunyu Liu, Shih-Jen Hwang, Roby Joehanes, Myriam Fornage, Jan Bressler, Joyce B J Van Meurs, Birgit Debrabant, Jonas Mengel-From, Jacob Hjelmborg, Kaare Christensen, Pantel Vokonas, Joel Schwartz, Sina A Gahrib, Nona Sotoodehnia, Colleen M Sitlani, Sonja Kunze, Christian Gieger, Annette Peters, Melanie Waldenberger, Ian J Deary, Luigi Ferrucci, Yishu Qu, Philip Greenland, Donald M Lloyd-Jones, Lifang Hou, Stefania Bandinelli, Trudy Voortman, Brenner Hermann, Andrea Baccarelli, Eric Whitsel, James S Pankow, Daniel Levy
Integrative Analysis Of Clinical And Epigenetic Biomarkers Of Mortality, Tianxiao Huan, Steve Nguyen, Elena Colicino, Carolina Ochoa-Rosales, W David Hill, Jennifer A Brody, Mette Soerensen, Yan Zhang, Antoine Baldassari, Mohamed Ahmed Elhadad, Tanaka Toshiko, Yinan Zheng, Arce Domingo-Relloso, Dong Heon Lee, Jiantao Ma, Chen Yao, Chunyu Liu, Shih-Jen Hwang, Roby Joehanes, Myriam Fornage, Jan Bressler, Joyce B J Van Meurs, Birgit Debrabant, Jonas Mengel-From, Jacob Hjelmborg, Kaare Christensen, Pantel Vokonas, Joel Schwartz, Sina A Gahrib, Nona Sotoodehnia, Colleen M Sitlani, Sonja Kunze, Christian Gieger, Annette Peters, Melanie Waldenberger, Ian J Deary, Luigi Ferrucci, Yishu Qu, Philip Greenland, Donald M Lloyd-Jones, Lifang Hou, Stefania Bandinelli, Trudy Voortman, Brenner Hermann, Andrea Baccarelli, Eric Whitsel, James S Pankow, Daniel Levy
Journal Articles
DNA methylation (DNAm) has been reported to be associated with many diseases and with mortality. We hypothesized that the integration of DNAm with clinical risk factors would improve mortality prediction. We performed an epigenome-wide association study of whole blood DNAm in relation to mortality in 15 cohorts (n = 15,013). During a mean follow-up of 10 years, there were 4314 deaths from all causes including 1235 cardiovascular disease (CVD) deaths and 868 cancer deaths. Ancestry-stratified meta-analysis of all-cause mortality identified 163 CpGs in European ancestry (EA) and 17 in African ancestry (AA) participants at p < 1 × 10
Harmonizing Model Organism Data In The Alliance Of Genome Resources., Alliance Of Genome Resources Consortium, Anna V. Anagnostopoulos, Susan M. Bello, Judith A. Blake, Olin Blodgett, Carol J. Bult, Karen R. Christie, Mary E. Dolan, Paul Hale, James A. Kadin, Monica S. Mcandrews, Howie Motenko, David R. Shaw, Constance M. Smith, Cynthia L. Smith, Monika Tomczuk, Laurens G. Wilming
Harmonizing Model Organism Data In The Alliance Of Genome Resources., Alliance Of Genome Resources Consortium, Anna V. Anagnostopoulos, Susan M. Bello, Judith A. Blake, Olin Blodgett, Carol J. Bult, Karen R. Christie, Mary E. Dolan, Paul Hale, James A. Kadin, Monica S. Mcandrews, Howie Motenko, David R. Shaw, Constance M. Smith, Cynthia L. Smith, Monika Tomczuk, Laurens G. Wilming
Faculty Research 2022
The Alliance of Genome Resources (the Alliance) is a combined effort of 7 knowledgebase projects: Saccharomyces Genome Database, WormBase, FlyBase, Mouse Genome Database, the Zebrafish Information Network, Rat Genome Database, and the Gene Ontology Resource. The Alliance seeks to provide several benefits: better service to the various communities served by these projects; a harmonized view of data for all biomedical researchers, bioinformaticians, clinicians, and students; and a more sustainable infrastructure. The Alliance has harmonized cross-organism data to provide useful comparative views of gene function, gene expression, and human disease relevance. The basis of the comparative views is shared calls of …
Elucidating Mechanisms Of Genetic Cross-Disease Associations At The Procr Vascular Disease Locus, David Stacey, Lingyan Chen, Paulina J Stanczyk, Joanna M M Howson, Amy M Mason, Stephen Burgess, Stephen Macdonald, Jonathan Langdown, Harriett Mckinney, Kate Downes, Neda Farahi, James E Peters, Saonli Basu, James S Pankow, Weihong Tang, Nathan Pankratz, Maria Sabater-Lleal, Paul S De Vries, Nicholas L Smith, Amy D Gelinas, Daniel J Schneider, Nebojsa Janjic, Nilesh J Samani, Shu Ye, Charlotte Summers, Edwin R Chilvers, John Danesh, Dirk S Paul
Elucidating Mechanisms Of Genetic Cross-Disease Associations At The Procr Vascular Disease Locus, David Stacey, Lingyan Chen, Paulina J Stanczyk, Joanna M M Howson, Amy M Mason, Stephen Burgess, Stephen Macdonald, Jonathan Langdown, Harriett Mckinney, Kate Downes, Neda Farahi, James E Peters, Saonli Basu, James S Pankow, Weihong Tang, Nathan Pankratz, Maria Sabater-Lleal, Paul S De Vries, Nicholas L Smith, Amy D Gelinas, Daniel J Schneider, Nebojsa Janjic, Nilesh J Samani, Shu Ye, Charlotte Summers, Edwin R Chilvers, John Danesh, Dirk S Paul
Journal Articles
Many individual genetic risk loci have been associated with multiple common human diseases. However, the molecular basis of this pleiotropy often remains unclear. We present an integrative approach to reveal the molecular mechanism underlying the PROCR locus, associated with lower coronary artery disease (CAD) risk but higher venous thromboembolism (VTE) risk. We identify PROCR-p.Ser219Gly as the likely causal variant at the locus and protein C as a causal factor. Using genetic analyses, human recall-by-genotype and in vitro experimentation, we demonstrate that PROCR-219Gly increases plasma levels of (activated) protein C through endothelial protein C receptor (EPCR) ectodomain shedding in endothelial cells, …
Mouse Genome Informatics (Mgi): Latest News From Mgd And Gxd., Martin Ringwald, Joel E Richardson, Richard M. Baldarelli, Judith A. Blake, James A. Kadin, Cynthia Smith, Carol J Bult
Mouse Genome Informatics (Mgi): Latest News From Mgd And Gxd., Martin Ringwald, Joel E Richardson, Richard M. Baldarelli, Judith A. Blake, James A. Kadin, Cynthia Smith, Carol J Bult
Faculty Research 2022
The Mouse Genome Informatics (MGI) database system combines multiple expertly curated community data resources into a shared knowledge management ecosystem united by common metadata annotation standards. MGI's mission is to facilitate the use of the mouse as an experimental model for understanding the genetic and genomic basis of human health and disease. MGI is the authoritative source for mouse gene, allele, and strain nomenclature and is the primary source of mouse phenotype annotations, functional annotations, developmental gene expression information, and annotations of mouse models with human diseases. MGI maintains mouse anatomy and phenotype ontologies and contributes to the development of …
Genetic Interaction Between Mfrp And Adipor1 Mutations Affect Retinal Disease Phenotypes, Navdeep Gogna, Sonia Weatherly, Fuxin Zhao, Gayle B. Collin, Jai Pinkney, Lisa Stone, Juergen K. Naggert, Gregory W. Carter, Patsy M. Nishina
Genetic Interaction Between Mfrp And Adipor1 Mutations Affect Retinal Disease Phenotypes, Navdeep Gogna, Sonia Weatherly, Fuxin Zhao, Gayle B. Collin, Jai Pinkney, Lisa Stone, Juergen K. Naggert, Gregory W. Carter, Patsy M. Nishina
Faculty Research 2022
Adipor1tm1Dgen and Mfrprd6 mutant mice share similar eye disease characteristics. Previously, studies established a functional relationship of ADIPOR1 and MFRP proteins in maintaining retinal lipidome homeostasis and visual function. However, the independent and/or interactive contribution of both genes to similar disease phenotypes, including fundus spots, decreased axial length, and photoreceptor degeneration has yet to be examined. We performed a gene-interaction study where homozygous Adipor1tm1Dgen and Mfrprd6 mice were bred together and the resulting doubly heterozygous F1 offspring were intercrossed to produce 210 F2 progeny. Four-month-old mice from all nine genotypic combinations obtained in the F2 generation …
The Human Disease Ontology 2022 Update., Lynn M Schriml, James B Munro, Mike Schor, Dustin Olley, Carrie Mccracken, Victor Felix, J Allen Baron, Rebecca Jackson, Susan M. Bello, Cynthia Bearer, Richard Lichenstein, Katharine Bisordi, Nicole Campion Dialo, Michelle Giglio, Carol Greene
The Human Disease Ontology 2022 Update., Lynn M Schriml, James B Munro, Mike Schor, Dustin Olley, Carrie Mccracken, Victor Felix, J Allen Baron, Rebecca Jackson, Susan M. Bello, Cynthia Bearer, Richard Lichenstein, Katharine Bisordi, Nicole Campion Dialo, Michelle Giglio, Carol Greene
Faculty Research 2022
The Human Disease Ontology (DO) (www.disease-ontology.org) database, has significantly expanded the disease content and enhanced our userbase and website since the DO's 2018 Nucleic Acids Research DATABASE issue paper. Conservatively, based on available resource statistics, terms from the DO have been annotated to over 1.5 million biomedical data elements and citations, a 10× increase in the past 5 years. The DO, funded as a NHGRI Genomic Resource, plays a key role in disease knowledge organization, representation, and standardization, serving as a reference framework for multiscale biomedical data integration and analysis across thousands of clinical, biomedical and computational research projects and …
Additive And Interactive Associations Of Environmental And Sociodemographic Factors With The Genotypes Of Three Glutathione S-Transferase Genes In Relation To The Blood Arsenic Concentrations Of Children In Jamaica, Mohammad H Rahbar, Maureen Samms-Vaughan, Yuansong Zhao, Sepideh Saroukhani, Sheikh F Zaman, Jan Bressler, Manouchehr Hessabi, Megan L Grove, Sydonnie Shakspeare-Pellington, Katherine A Loveland
Additive And Interactive Associations Of Environmental And Sociodemographic Factors With The Genotypes Of Three Glutathione S-Transferase Genes In Relation To The Blood Arsenic Concentrations Of Children In Jamaica, Mohammad H Rahbar, Maureen Samms-Vaughan, Yuansong Zhao, Sepideh Saroukhani, Sheikh F Zaman, Jan Bressler, Manouchehr Hessabi, Megan L Grove, Sydonnie Shakspeare-Pellington, Katherine A Loveland
Journal Articles
Arsenic (As) is a metalloid that has been classified as a xenobiotic with toxic effects on human beings, especially on children. Since the soil in Jamaica contains As, dietary intake is considered the main source of As exposure in Jamaicans. In addition, glutathione S-transferase (GST) genes, including