scholarly journals Genome-wide analysis of the genetic regulation of gene expression in human neutrophils

2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Anand Kumar Andiappan ◽  
Rossella Melchiotti ◽  
Tuang Yeow Poh ◽  
Michelle Nah ◽  
Kia Joo Puan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Genetic Regulation ◽  
Regulation Of Gene Expression ◽  
Human Neutrophils ◽  
Genome Wide Analysis ◽  
Genome Wide

scholarly journals On Using Local Ancestry to Characterize the Genetic Architecture of Human Phenotypes: Genetic Regulation of Gene Expression in Multiethnic or Admixed Populations as a Model

2018 ◽  
Author(s):  
Yizhen Zhong ◽  
Minoli Perera ◽  
Eric R. Gamazon
Keyword(s):  
Gene Expression ◽  
Complex Traits ◽  
Genetic Architecture ◽  
Genetic Regulation ◽  
Regulation Of Gene Expression ◽  
Type I ◽  
Eqtl Mapping ◽  
Entire Genome ◽  
Local Ancestry ◽  
Heritability Estimation

AbstractBackgroundUnderstanding the nature of the genetic regulation of gene expression promises to advance our understanding of the genetic basis of disease. However, the methodological impact of use of local ancestry on high-dimensional omics analyses, including most prominently expression quantitative trait loci (eQTL) mapping and trait heritability estimation, in admixed populations remains critically underexplored.ResultsHere we develop a statistical framework that characterizes the relationships among the determinants of the genetic architecture of an important class of molecular traits. We estimate the trait variance explained by ancestry using local admixture relatedness between individuals. Using National Institute of General Medical Sciences (NIGMS) and Genotype-Tissue Expression (GTEx) datasets, we show that use of local ancestry can substantially improve eQTL mapping and heritability estimation and characterize the sparse versus polygenic component of gene expression in admixed and multiethnic populations respectively. Using simulations of diverse genetic architectures to estimate trait heritability and the level of confounding, we show improved accuracy given individual-level data and evaluate a summary statistics based approach. Furthermore, we provide a computationally efficient approach to local ancestry analysis in eQTL mapping while increasing control of type I and type II error over traditional approaches.ConclusionOur study has important methodological implications on genetic analysis of omics traits across a range of genomic contexts, from a single variant to a prioritized region to the entire genome. Our findings highlight the importance of using local ancestry to better characterize the heritability of complex traits and to more accurately map genetic associations.

scholarly journals Genome-wide H3K9 Acetylation Level Increases with Age-Dependent Senescence of Flag Leaf in Rice (Oryza sativa)

2021 ◽  
Author(s):  
Yu Zhang ◽  
Yanyun Li ◽  
Yuanyuan Zhang ◽  
Zeyu Zhang ◽  
Deyu Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Oryza Sativa ◽  
Leaf Senescence ◽  
Epigenetic Modification ◽  
Flag Leaf ◽  
Regulation Of Gene Expression ◽  
Leaf Aging ◽  
Genome Wide ◽  
Age Dependent ◽  
H3k9 Acetylation

Flag leaf senescence is an important biological process that drives the remobilization of nutrients to the growing organs of rice. Leaf senescence is controlled by genetic information via gene expression and epigenetic modification, but the precise mechanism is as of yet unclear. Here, we analyzed genome-wide acetylated lysine residue 9 of histone H3 (H3K9ac) enrichment by chromatin immunoprecipitation-sequencing (ChIP-seq) and examined its association with transcriptomes by RNA-seq during flag leaf aging in rice (Oryza sativa). We found that genome-wide H3K9 acetylation levels increased with age-dependent senescence in rice flag leaf, and there was a positive correlation between the density and breadth of H3K9ac and gene expression and transcript elongation. A set of 1,249 up-regulated, differentially expressed genes (DEGs) and 996 down-regulated DEGs showing a strong relationship between temporal changes in gene expression and gain/loss of H3K9ac was observed during rice flag leaf aging. We produced a landscape of H3K9 acetylation- modified gene expression targets that includes known senescence-associated genes, metabolism-related genes, as well as miRNA biosynthesis- related genes. Our findings reveal a complex regulatory network of metabolism- and senescence-related pathways mediated by H3K9ac and also elucidate patterns of H3K9ac-mediated regulation of gene expression during flag leaf aging in rice.

scholarly journals How (Epi)Genetic Regulation of the LIM-Domain Protein FHL2 Impacts Multifactorial Disease

Cells ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2611
Author(s):  
Jayron J. Habibe ◽  
Maria P. Clemente-Olivo ◽  
Carlie J. de Vries
Keyword(s):  
Gene Expression ◽  
Genetic Variation ◽  
Current Knowledge ◽  
Genetic Regulation ◽  
Regulation Of Gene Expression ◽  
Lim Domain ◽  
Multifactorial Diseases ◽  
Lim Domains ◽  
Age Related

Susceptibility to complex pathological conditions such as obesity, type 2 diabetes and cardiovascular disease is highly variable among individuals and arises from specific changes in gene expression in combination with external factors. The regulation of gene expression is determined by genetic variation (SNPs) and epigenetic marks that are influenced by environmental factors. Aging is a major risk factor for many multifactorial diseases and is increasingly associated with changes in DNA methylation, leading to differences in gene expression. Four and a half LIM domains 2 (FHL2) is a key regulator of intracellular signal transduction pathways and the FHL2 gene is consistently found as one of the top hyper-methylated genes upon aging. Remarkably, FHL2 expression increases with methylation. This was demonstrated in relevant metabolic tissues: white adipose tissue, pancreatic β-cells, and skeletal muscle. In this review, we provide an overview of the current knowledge on regulation of FHL2 by genetic variation and epigenetic DNA modification, and the potential consequences for age-related complex multifactorial diseases.

scholarly journals Microarray data integration for genome-wide analysis of human tissue-selective gene expression

BMC Genomics ◽  
2010 ◽  
Vol 11 (Suppl 2) ◽  
pp. S15 ◽  
Author(s):  
Liangjiang Wang ◽  
Anand K Srivastava ◽  
Charles E Schwartz
Keyword(s):  
Gene Expression ◽  
Data Integration ◽  
Microarray Data ◽  
Human Tissue ◽  
Genome Wide Analysis ◽  
Genome Wide

scholarly journals Common gene expression strategies revealed by genome-wide analysis in yeast

2007 ◽  
Vol 8 (10) ◽  
pp. R222 ◽  
Author(s):  
José García-Martínez ◽  
Fernando González-Candelas ◽  
José E Pérez-Ortín
Keyword(s):  
Gene Expression ◽  
Common Gene ◽  
Genome Wide Analysis ◽  
Genome Wide
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