Publications by authors named "Arindrarto W"

Trait-associated genetic variants affect complex phenotypes primarily via regulatory mechanisms on the transcriptome. To investigate the genetics of gene expression, we performed cis- and trans-expression quantitative trait locus (eQTL) analyses using blood-derived expression from 31,684 individuals through the eQTLGen Consortium. We detected cis-eQTL for 88% of genes, and these were replicable in numerous tissues.

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Acute myeloid leukemia (AML) is caused by genetic aberrations that also govern the prognosis of patients and guide risk-adapted and targeted therapy. Genetic aberrations in AML are structurally diverse and currently detected by different diagnostic assays. This study sought to establish whole transcriptome RNA sequencing as single, comprehensive, and flexible platform for AML diagnostics.

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Insights into individual differences in gene expression and its heritability (h) can help in understanding pathways from DNA to phenotype. We estimated the heritability of gene expression of 52,844 genes measured in whole blood in the largest twin RNA-Seq sample to date (1497 individuals including 459 monozygotic twin pairs and 150 dizygotic twin pairs) from classical twin modeling and identity-by-state-based approaches. We estimated for each gene h, composed of cis-heritability (h, the variance explained by single nucleotide polymorphisms in the cis-window of the gene), and trans-heritability (h, the residual variance explained by all other genome-wide variants).

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Objective: Multiple single-nucleotide polymorphisms (SNPs) conferring susceptibility to osteoarthritis (OA) mark imbalanced expression of positional genes in articular cartilage, reflected by unequally expressed alleles among heterozygotes (allelic imbalance [AI]). We undertook this study to explore the articular cartilage transcriptome from OA patients for AI events to identify putative disease-driving genetic variation.

Methods: AI was assessed in 42 preserved and 5 lesioned OA cartilage samples (from the Research Arthritis and Articular Cartilage study) for which RNA sequencing data were available.

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Article Synopsis
  • Understanding the causal relationships in gene regulation is key to grasping gene functions.
  • We created a method to infer gene-gene interactions from observational population genomics data, effectively handling genetic variations and their effects.
  • Our analysis of data from over 3000 individuals revealed 49 key genes influencing gene expression changes, highlighting new potential functions for specific genes like SENP7 and BCL2A1.
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In contrast to mouse, human female germ cells develop asynchronously. Germ cells transition to meiosis, erase genomic imprints, and reactivate the X chromosome. It is unknown if these events all appear asynchronously, and how they relate to each other.

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Oct4 and Sox2 regulate the expression of target genes such as , and , by binding to their respective regulatory motifs. Their functional cooperation is reflected in their ability to heterodimerize on adjacent regulatory motifs, the composite Sox/Oct motif. Given that Oct4 and Sox2 regulate many developmental genes, a quantitative analysis of their synergistic action on different Sox/Oct motifs would yield valuable insights into the mechanisms of early embryonic development.

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Unlabelled: Essentials The underlying pathophysiological mechanisms behind cancer-associated thrombosis are unknown. We compared expression profiles in tumor cells from patients with and without thrombosis. Tumors from patients with thrombosis showed significant differential gene expression profiles.

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Facioscapulohumeral muscular dystrophy is caused by incomplete repression of the transcription factor DUX4 in skeletal muscle as a consequence of D4Z4 macrosatellite repeat contraction in chromosome 4q35 (FSHD1) or variants in genes encoding D4Z4 chromatin repressors (FSHD2). A clinical hallmark of FSHD is variability in onset and progression suggesting the presence of disease modifiers. A well-known cis modifier is the polymorphic DUX4 polyadenylation signal (PAS) that defines FSHD permissive alleles: D4Z4 chromatin relaxation on non-permissive alleles which lack the DUX4-PAS cannot cause disease in the absence of stable DUX4 mRNA.

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The regeneration-capable flatworm is a powerful model organism to study the biology of stem cells in vivo. As a flatworm amenable to transgenesis, it complements the historically used planarian flatworm models, such as . However, information on the transcriptome and markers of stem cells in is limited.

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Most disease-associated genetic variants are noncoding, making it challenging to design experiments to understand their functional consequences. Identification of expression quantitative trait loci (eQTLs) has been a powerful approach to infer the downstream effects of disease-associated variants, but most of these variants remain unexplained. The analysis of DNA methylation, a key component of the epigenome, offers highly complementary data on the regulatory potential of genomic regions.

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Genetic risk factors often localize to noncoding regions of the genome with unknown effects on disease etiology. Expression quantitative trait loci (eQTLs) help to explain the regulatory mechanisms underlying these genetic associations. Knowledge of the context that determines the nature and strength of eQTLs may help identify cell types relevant to pathophysiology and the regulatory networks underlying disease.

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Skeletal muscle fibrosis and impaired muscle regeneration are major contributors to muscle wasting in Duchenne muscular dystrophy (DMD). Muscle growth is negatively regulated by myostatin (MSTN) and activins. Blockage of these pathways may improve muscle quality and function in DMD.

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Chronic muscle diseases are highly prevalent in the elderly causing severe mobility limitations, pain and frailty. The intrinsic molecular mechanisms are poorly understood due to multifactorial causes, slow progression with age and variations between individuals. Understanding the underlying molecular mechanisms could lead to new treatment options which are currently limited.

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Differentiated derivatives of human pluripotent stem cells in culture are generally phenotypically immature compared to their adult counterparts. Their identity is often difficult to determine with certainty because little is known about their human fetal equivalents in vivo. Cellular identity and signaling pathways directing differentiation are usually determined by extrapolating information from either human adult tissue or model organisms, assuming conservation with humans.

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Background: Uncoupling protein 2 (UCP2) gene polymorphisms have been reported as genetic risk factors for obesity and type 2 diabetes mellitus (T2DM). We examined the association of commonly observed UCP2 G(-866)A (rs659366) and Ala55Val (C > T) (rs660339) single nucleotide polymorphisms (SNPs) with obesity, high fasting plasma glucose, and serum lipids in a Balinese population.

Methods: A total of 603 participants (278 urban and 325 rural subjects) were recruited from Bali Island, Indonesia.

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