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      iPSCORE: A Resource of 222 iPSC Lines Enabling Functional Characterization of Genetic Variation across a Variety of Cell Types

      research-article
      1 , 11 , 2 , 3 , 3 , 4 , 5 , 6 , 7 , 3 , 2 , 5 , 5 , 7 , 8 , 7 , 7 , 2 , 2 , 2 , 2 , 5 , 8 , 3 , 2 , 9 , 1 , 9 , 9 , 9 , 2 , 5 , 5 , 2 , 2 , 2 , 5 , 5 , 2 , 10 , 5 , 2 , 5 , 8 , 2 , 3 , 6 , 10 , 1 , 5 , 4 , 9 , 2 , 3 , 2 , 3 ,
      Stem Cell Reports
      Elsevier
      iPSCORE, iPSC, GWAS, molecular traits, physiological traits, cardiac disease, NHLBI Next Gen, LQT2, KCNH2, iPSC-derived cardiomyocytes

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          Summary

          Large-scale collections of induced pluripotent stem cells (iPSCs) could serve as powerful model systems for examining how genetic variation affects biology and disease. Here we describe the iPSCORE resource: a collection of systematically derived and characterized iPSC lines from 222 ethnically diverse individuals that allows for both familial and association-based genetic studies. iPSCORE lines are pluripotent with high genomic integrity (no or low numbers of somatic copy-number variants) as determined using high-throughput RNA-sequencing and genotyping arrays, respectively. Using iPSCs from a family of individuals, we show that iPSC-derived cardiomyocytes demonstrate gene expression patterns that cluster by genetic background, and can be used to examine variants associated with physiological and disease phenotypes. The iPSCORE collection contains representative individuals for risk and non-risk alleles for 95% of SNPs associated with human phenotypes through genome-wide association studies. Our study demonstrates the utility of iPSCORE for examining how genetic variants influence molecular and physiological traits in iPSCs and derived cell lines.

          Graphical Abstract

          Highlights

          • iPSCORE: A collection of publicly available iPSCs from 222 individuals

          • Several multigenerational families and individuals of various ethnicities and ages

          • Individuals carrying risk and non-risk genotypes for 95% of GWAS SNPs

          • Genetic variants associated with mRNA expression in differentiated cardiomyocytes

          Abstract

          Working as part of the NHLBI NextGen consortium, Panopoulos and colleagues report the derivation and characterization of 222 publicly available iPSCs from ethnically diverse individuals with corresponding genomic data including SNP arrays, RNA-seq, and whole-genome sequencing. This collection provides a powerful resource to investigate the function of genetic variants.

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          Most cited references34

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          Pluripotent stem cells in disease modelling and drug discovery.

          Experimental modelling of human disorders enables the definition of the cellular and molecular mechanisms underlying diseases and the development of therapies for treating them. The availability of human pluripotent stem cells (PSCs), which are capable of self-renewal and have the potential to differentiate into virtually any cell type, can now help to overcome the limitations of animal models for certain disorders. The ability to model human diseases using cultured PSCs has revolutionized the ways in which we study monogenic, complex and epigenetic disorders, as well as early- and late-onset diseases. Several strategies are used to generate such disease models using either embryonic stem cells (ES cells) or patient-specific induced PSCs (iPSCs), creating new possibilities for the establishment of models and their use in drug screening.
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            Array-based technology and recommendations for utilization in medical genetics practice for detection of chromosomal abnormalities

            Laboratory evaluation of patients with developmental delay/intellectual disability, congenital anomalies, and dysmorphic features has changed significantly in the last several years with the introduction of microarray technologies. Using these techniques, a patient’s genome can be examined for gains or losses of genetic material too small to be detected by standard G-banded chromosome studies. This increased resolution of microarray technology over conventional cytogenetic analysis allows for identification of chromosomal imbalances with greater precision, accuracy, and technical sensitivity. A variety of array-based platforms are now available for use in clinical practice, and utilization strategies are evolving. Thus, a review of the utility and limitations of these techniques and recommendations regarding present and future application in the clinical setting are presented in this study.
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              Low incidence of DNA sequence variation in human induced pluripotent stem cells generated by nonintegrating plasmid expression.

              The utility of induced pluripotent stem cells (iPSCs) as models to study diseases and as sources for cell therapy depends on the integrity of their genomes. Despite recent publications of DNA sequence variations in the iPSCs, the true scope of such changes for the entire genome is not clear. Here we report the whole-genome sequencing of three human iPSC lines derived from two cell types of an adult donor by episomal vectors. The vector sequence was undetectable in the deeply sequenced iPSC lines. We identified 1,058-1,808 heterozygous single-nucleotide variants (SNVs), but no copy-number variants, in each iPSC line. Six to twelve of these SNVs were within coding regions in each iPSC line, but ~50% of them are synonymous changes and the remaining are not selectively enriched for known genes associated with cancers. Our data thus suggest that episome-mediated reprogramming is not inherently mutagenic during integration-free iPSC induction. Copyright © 2012 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Stem Cell Reports
                Stem Cell Reports
                Stem Cell Reports
                Elsevier
                2213-6711
                06 April 2017
                11 April 2017
                06 April 2017
                : 8
                : 4
                : 1086-1100
                Affiliations
                [1 ]Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
                [2 ]Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
                [3 ]Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
                [4 ]Center for Regenerative Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
                [5 ]Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
                [6 ]Zentrum für Integrative Psychiatrie, Universitätsklinikum Schleswig-Holstein, 24105 Kiel, Germany
                [7 ]Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA
                [8 ]Biomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA
                [9 ]Stem Cell Core, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
                [10 ]Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA
                Author notes
                []Corresponding author kafrazer@ 123456ucsd.edu
                [11]

                Present address: Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA

                Article
                S2213-6711(17)30118-2
                10.1016/j.stemcr.2017.03.012
                5390244
                28410642
                b73fc828-37ad-4f4c-9188-7e670ca7d173

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 27 July 2016
                : 8 March 2017
                : 13 March 2017
                Categories
                Resource

                ipscore,ipsc,gwas,molecular traits,physiological traits,cardiac disease,nhlbi next gen,lqt2,kcnh2,ipsc-derived cardiomyocytes

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