High-performance computing to detect epistasis in genome scale data sets
A Upton, O Trelles, JA Cornejo-García… - Briefings in …, 2016 - academic.oup.com
It is becoming clear that most human diseases have a complex etiology that cannot be
explained by single nucleotide polymorphisms (SNPs) or simple additive combinations; the …
explained by single nucleotide polymorphisms (SNPs) or simple additive combinations; the …
Quantitative trait locus (xQTL) approaches identify risk genes and drug targets from human non-coding genomes
Advances and reduction of costs in various sequencing technologies allow for a closer look
at variations present in the non-coding regions of the human genome. Correlating non …
at variations present in the non-coding regions of the human genome. Correlating non …
Information theory in computational biology: where we stand today
P Chanda, E Costa, J Hu, S Sukumar, J Van Hemert… - Entropy, 2020 - mdpi.com
“A Mathematical Theory of Communication” was published in 1948 by Claude Shannon to
address the problems in the field of data compression and communication over (noisy) …
address the problems in the field of data compression and communication over (noisy) …
Common variants of pro-inflammatory gene IL1B and interactions with PPP1R13L and POLR1G in relation to lung cancer among Northeast Chinese
J Yin, C Wang, U Vogel, Y Ma, Y Zhang, H Wang… - Scientific Reports, 2023 - nature.com
Lung cancer is a complex disease influenced by a variety of genetic and environmental
factors. The cytokine interleukin 1 encoded by IL1B is an important mediator of the …
factors. The cytokine interleukin 1 encoded by IL1B is an important mediator of the …
Discovering SNP-disease relationships in genome-wide SNP data using an improved harmony search based on SNP locus and genetic inheritance patterns
F Esmaeili, Z Narimani, M Vasighi - Plos one, 2023 - journals.plos.org
Advances in high-throughput sequencing technologies have made it possible to access
millions of measurements from thousands of people. Single nucleotide polymorphisms …
millions of measurements from thousands of people. Single nucleotide polymorphisms …
Selecting variants of unknown significance through network-based gene-association significantly improves risk prediction for disease-control cohorts
Variants of unknown/uncertain significance (VUS) pose a huge dilemma in current genetic
variation screening methods and genetic counselling. Driven by methods of next generation …
variation screening methods and genetic counselling. Driven by methods of next generation …
The genetic component of human longevity: New insights from the analysis of pathway‐based SNP‐SNP interactions
In human longevity studies, single nucleotide polymorphism (SNP) analysis identified a
large number of genetic variants with small effects, yet not easily replicable in different …
large number of genetic variants with small effects, yet not easily replicable in different …
Interactions between the genes of vasodilatation pathways influence blood pressure and nitric oxide level in hypertension
BACKGROUND This study investigates the contribution of genetic interactions between the
β-2 adrenergic receptor (ADRB2) and nitric oxide synthase (NOS3) genes to the complex …
β-2 adrenergic receptor (ADRB2) and nitric oxide synthase (NOS3) genes to the complex …
Searching high-order SNP combinations for complex diseases based on energy distribution difference
Single nucleotide polymorphisms, a dominant type of genetic variants, have been used
successfully to identify defective genes causing human single gene diseases. However …
successfully to identify defective genes causing human single gene diseases. However …
Research on single nucleotide polymorphisms interaction detection from network perspective
Single Nucleotide Polymorphisms (SNPs) found in Genome-Wide Association Study
(GWAS) mainly influence the susceptibility of complex diseases, but they still could not …
(GWAS) mainly influence the susceptibility of complex diseases, but they still could not …