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  • iPSCORE: A Resource of 222 ...
    Panopoulos, Athanasia D.; D'Antonio, Matteo; Benaglio, Paola; Williams, Roy; Hashem, Sherin I.; Schuldt, Bernhard M.; DeBoever, Christopher; Arias, Angelo D.; Garcia, Melvin; Nelson, Bradley C.; Harismendy, Olivier; Jakubosky, David A.; Donovan, Margaret K.R.; Greenwald, William W.; Farnam, KathyJean; Cook, Megan; Borja, Victor; Miller, Carl A.; Grinstein, Jonathan D.; Drees, Frauke; Okubo, Jonathan; Diffenderfer, Kenneth E.; Hishida, Yuriko; Modesto, Veronica; Dargitz, Carl T.; Feiring, Rachel; Zhao, Chang; Aguirre, Aitor; McGarry, Thomas J.; Matsui, Hiroko; Li, He; Reyna, Joaquin; Rao, Fangwen; O'Connor, Daniel T.; Yeo, Gene W.; Evans, Sylvia M.; Chi, Neil C.; Jepsen, Kristen; Nariai, Naoki; Müller, Franz-Josef; Goldstein, Lawrence S.B.; Izpisua Belmonte, Juan Carlos; Adler, Eric; Loring, Jeanne F.; Berggren, W. Travis; D'Antonio-Chronowska, Agnieszka; Smith, Erin N.; Frazer, Kelly A.

    Stem cell reports, 04/2017, Letnik: 8, Številka: 4
    Journal Article

    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. Display omitted •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 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.