Results 21 to 30 of about 2,560,285 (288)

An association study in the Taiwan Biobank elicits the GABAA receptor genes GABRB3, GABRA5, and GABRG3 as candidate loci for sleep duration in the Taiwanese population

open access: yesBMC Medical Genomics, 2021
Background Gamma-aminobutyric acid type A (GABAA) receptors mainly mediate the effects of gamma-aminobutyric acid, which is the primary inhibitory neurotransmitter in the central nervous system.
Sheue-Jane Hou   +7 more
doaj   +1 more source

Random matrix analysis for gene interaction networks in cancer cells [PDF]

open access: yes, 2018
Investigations of topological uniqueness of gene interaction networks in cancer cells are essential for understanding this disease. Based on the random matrix theory, we study the distribution of the nearest neighbor level spacings $P(s)$ of interaction ...
Kikkawa, Ayumi
core   +3 more sources

Gene–gene interactions in APOL1-associated nephropathy [PDF]

open access: yesNephrology Dialysis Transplantation, 2013
Two APOL1 nephropathy variants confer substantial risk for non-diabetic end-stage kidney disease (ESKD) in African Americans (AAs). Since not all genetically high-risk individuals develop ESKD, modifying factors likely contribute. Forty-two potentially interactive single nucleotide polymorphisms (SNPs) from a genome-wide association study in non ...
Jasmin, Divers   +9 more
openaire   +2 more sources

Statistical Indicators of Collective Behavior and Functional Clusters in Gene Networks of Yeast [PDF]

open access: yes, 2005
We analyze gene expression time-series data of yeast S. cerevisiae measured along two full cell-cycles. We quantify these data by using q-exponentials, gene expression ranking and a temporal mean-variance analysis.
Tadic, Bosiljka   +3 more
core   +2 more sources

Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases

open access: yesG3: Genes, Genomes, Genetics, 2016
The identification of statistical SNP-SNP interactions may help explain the genetic etiology of many human diseases, but exhaustive genome-wide searches for these interactions have been difficult, due to a lack of power in most datasets.
William Murk, Andrew T. DeWan
doaj   +1 more source

Gene-Based Methods to Detect Gene-Gene Interaction in R: The GeneGeneInteR Package

open access: yesJournal of Statistical Software, 2020
GeneGeneInteR is an R package dedicated to the detection of an association between a case-control phenotype and the interaction between two sets of biallelic markers (single nucleotide polymorphisms or SNPs) in case-control genome-wide associations ...
Mathieu Emily   +3 more
doaj   +1 more source

Variants within the MMP3 gene are associated with achilles tendinopathy: possible interaction with the COL5A1 gene [PDF]

open access: yes, 2009
Objectives: Sequence variation within the COL5A1 and TNC genes are known to associate with Achilles tendinopathy. The primary aim of this case-control genetic association study was to investigate whether variants within the matrix metalloproteinase 3 ...
Collins, M   +5 more
core   +1 more source

Surface immobilization of hexa-histidine-tagged adeno-associated viral vectors for localized gene delivery. [PDF]

open access: yes, 2010
Adeno-associated viral (AAV) vectors, which are undergoing broad exploration in clinical trials, have significant promise for therapeutic gene delivery because of their safety and delivery efficiency.
Bethi, SR   +5 more
core   +2 more sources

A network view of human immune system and virus-human interaction

open access: yesFrontiers in Immunology, 2022
The immune system is highly networked and complex, which is continuously changing as encountering old and new pathogens. However, reductionism-based researches do not give a systematic understanding of the molecular mechanism of the immune response and ...
Kang Tang   +24 more
doaj   +1 more source

Identifying gene‐gene interactions using penalized tensor regression [PDF]

open access: yesStatistics in Medicine, 2017
Gene‐gene (G×G) interactions have been shown to be critical for the fundamental mechanisms and development of complex diseases beyond main genetic effects. The commonly adopted marginal analysis is limited by considering only a small number of G factors at a time. With the “main effects, interactions” hierarchical constraint, many of the existing joint
Mengyun Wu, Jian Huang, Shuangge Ma
openaire   +3 more sources

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