Day 2 :
- Human Genomics | Bioinformatics in Genomics | Micro RNA | | Biophysics | Cell biology
Location: Orly
Chair
Michael Bergel
Texas Woman’s University, USA
Co-Chair
Marta Koblowska
University of Warsaw, Poland
Session Introduction
Manjit Kaur
National Human Genome Research Institute - NIH, USA
Title: International Summit in Human Genetics and Genomics (ISHGG): Training the next generation of scientists and clinicians in human genetics and genomics in developing or genetics resource poor countries
Biography:
Manjit Kaur completed her MS (Microbiology) from University of Maryland, USA; an MBA from Johns Hopkins Carey Business School, Baltimore, Maryland, USA. She is an Interdisciplinary Scientist trained in microbiology, clinical pathology, infectious diseases, recombinant vaccines (cholera and malaria), biotechnology and human genetics and genomics. She previously worked for Academia, the Department of Defense and the private sector, before arriving at National Institute of Health, USA (2001), to work on neural tube defects. She now manages International Program at NHGRI that helps fi ll the knowledge gap in genetics and genomics in developing/genetics resource poor countries.
Abstract:
Genomics is increasingly becoming the backbone of all biomedical research and clinical application. Inherited and de novo disorders are adding to the burden of disease and disability in developing countries and straining their resources. Advances in human genetics and genomic research now make it possible to prevent, diagnose and treat many genetic and congenital birth defects; and proven strategies help manage unanticipated conditions. Unfortunately, many countries lack trained geneticists and the subject is not included in their curriculum, thus making it diffi cult to address these issues. To help fi ll the knowledge gap, National Human Genome Research Institute (NHGRI) developed ISHGG, a 5-year initiative (2016-2020), to assist developing countries build capacity in genetics and genomics. In 2016 and 2017, NHGRI sponsored professionals (n=19, n=26), from multiple health-allied disciplines, from several countries (n=13, n=24). Th e summit included didactics, clinics, fi eld trips, workshops and a patient-panel. Pre- and post-surveys conducted helped gauge knowledge about the subject, interest and learning among people. Th e results indicated that the summit was a unique learning opportunity for participants and speakers, and its continuance was encouraged. One-year outcomes from the 2016 summit included collaborations (27), publications (54) and grants (24). Annual feedback from participants on their eff orts in genetics/genomics, indicates that the summit is making good progress in achieving its goals of promoting genetic and genomic research and medicine through international cooperation and collaboration; identifying and fi lling the knowledge gap in genetics and its related technologies in developing countries and help reduce the burden of disease and disability in these countries.
Biography:
Abstract:
As scientifi c technology continues to improve, so does the ability of shared resource labs to eff ectively serve their scientifi c partners. However, an increase in laboratory customers presents a unique set of issues, which can hinder a lab’s operational effi ciency and impact overall results. In this workshop we will identify opportunities for optimized lab operations effi ciency, discuss details of an eff ective laboratory operations strategy, and provide insights on best practices and current tools in the industry. Investing time and thought into refi ning your laboratory operations will pave the way for satisfi ed partners and improved innovation.
Ana Fernández Marmiesse
University Hospital of Santiago de Compostela, Spain
Title: Neuromegen: Achieving rapid diagnosis for neurodevelopmental disorders
Biography:
Abstract:
Sarah S. Knox
West Virginia University School of Public Health, USA
Title: Wave/particle duality in biomedical research
Biography:
Abstract:
Igors Pupko
Reproductive Medicine and Genetic Clinic iVF Riga, Latvia
Title: Diffi culties of mosaicism interpretation in embryo aneuploidy screening in IVF setting
Biography:
Abstract:
Embryo aneuploidy screening (PGT-A) using diff erent approaches (FISH, arrayCGH, NGS) has been widely used in IVF setting worldwide. Chromosomal aberrations found in embryos could be as high as 50% from all embryos. Mosaic chromosomal aberrations oft en seen in embryos are well described. Diffi culties in interpreting results are challenging especially when there are no euploid embryos suitable for transfer. Several guidelines are available and they all state that euploid embryo should be preferred over aneuploid or mosaic aneuploid embryo. In case of mosaic embryos, chromosomal aberrations including chromosomes 13, 18, 21, as well as chromosomes which are linked with uniparental disomy, should be excluded. Embryo selfrescue is known mechanism, which in most cases manages to remove cells with aneuploidy and continue development from mosaic aneuploid embryo to child with normal karyotype in up to 80% pregnancies. Th e experience of our clinic has allowed to accumulate knowledge about the mosaic aneuploid embryo PGT-A data interpretation. Data interpretation should be done by specialists – geneticists and molecular geneticists to avoid misdiagnosis and carefully consider possible eff ects of mosaic aneuploidy, especially if there are no euploid embryos for transfer. In practice we have seen several possible outcomes aft er embryo self-rescue – normal and ongoing pregnancy, miscarriage and uniparental disomy..
Miriam Payá Milans
University of Tennessee, USA
Title: Exploring the design of RNA-Seq analysis pipeline
Biography:
Miriam Payá Milans is a Young Researcher with an international background. On her PhD studies, in Seville Spain, she worked on the molecular and biochemical analysis of genes in the lipid biosynthesis pathway. Part of that research was carried out in collaboration with laboratories at the Universities of Missouri and Guelph. After PhD, she decided to expand into the fi eld of bioinformatics, with her fi rst work done on SNP analysis in octoploid strawberry, in Barcelona. She is currently working as Postdoctoral Fellow at University of Tennessee, focusing on the analysis of RNA-Seq data in several plant species. There, she helps teaching at RNASeq analysis workshops and offers bioinformatics support to colleagues.
Abstract:
Transcriptome analysis through RNA-Seq data is well-established in model organisms, but the data analysis on other species can be less straightforward. Compared to other kingdoms, genome sequencing projects are far lower in plants, resulting in an increased challenge to the study of crop species. For example, in working with blueberries, we have more than one species of interest, fewer genomic resources than many model plant systems and various levels of polyploidy. When developing a workfl ow of soft ware tools to analyze this data, a researcher faces decisions among numerous algorithms at each step. We have explored some of the current options available to analyze RNA-Seq data in two situations: fi rst, when the closest reference genome is from a diff erent species and second, when a polyploid species is being sequenced but the closest reference genome is a diploid progenitor species. Results are compared between the usages of a related species reference genome against the utilization of de novo transcriptome assemblies. Further, comparisons are made amongst read correcting, quality trimming, and read mapping soft ware choices. We conclude that diff erent soft ware packages and approaches infl uence RNA-Seq analysis and recommend the election of parameters that maximize desired metrics when using polyploid species and/or a distant reference genome.