Results 61 to 70 of about 141,382 (327)
Expression quantitative trait locus analysis for translational medicine
AbstractExpression quantitative trait locus analysis has emerged as an important component of efforts to understand how genetic polymorphisms influence disease risk and is poised to make contributions to translational medicine. Here we review how expression quantitative trait locus analysis is aiding the identification of which gene(s) within regions ...
Gibson, Greg+2 more
openaire +3 more sources
This review synthesizes the evolution of radiative heat transfer, emphasizing the transition from far‐field to near‐field regimes. Traditional frameworks, such as Planck's law, are revisited alongside modern innovations like fluctuational electrodynamics. Applications span nanoscale thermal management, energy harvesting, and thermophotovoltaic systems.
Ambali Alade Odebowale+6 more
wiley +1 more source
This review examines the fluid dynamic behavior within carbonaceous porous structures, linking structural characteristics to electrolyte transport and electrochemical performance. Specifically, it quantitatively assesses the effect of polyphenol derivatives‐harnessed multiscale pore structures on active surface utilization and electrochemical activity ...
Minjun Kim+3 more
wiley +1 more source
Disequilibrium Mapping of a Quantitative-Trait Locus in an Expanding Population [PDF]
Linkage disequilibrium (LD) mapping can be successful if there is strong nonrandom association between marker alleles and an allele affecting a trait of interest. The principles of LD mapping of dichotomous traits are well understood, but less is known about LD mapping of a quantitative-trait locus (QTL).
openaire +2 more sources
Recent Advances in Wide‐Bandgap Perovskite Solar Cells
Ubiquitous defects predominately account for photo‐instability and open‐circuit voltage losses in wide‐bandgap perovskite solar cells (WBG PSCs). This review comprehensively presents the underlying impact mechanisms, summarizes the advanced optimization strategies across various functional layers and their interfaces to develop efficient and stable WBG
Jianjun Mei, Feng Yan
wiley +1 more source
A powerful global test for spliceQTL effects
Abstract Statistical methods to test for effects of single nucleotide polymorphisms (SNPs) on exon inclusion exist but often rely on testing of associations between multiple exon–SNP pairs, with sometimes subsequent summarization of results at the gene level. Such approaches require heavy multiple testing corrections and detect mostly events with large
Renee X. de Menezes+4 more
wiley +1 more source
Network Based Approach to Gene Prioritization at Genome-Wide Association Study Loci [PDF]
Motivation: Genome-wide association studies (GWAS) have successfully identified thousands of genetic risk loci for complex traits and diseases. Most of these GWAS loci lie in regulatory regions of the genome and the gene through which each GWAS risk locus exerts its effects is not always clear.
arxiv
Bayesian Test for Colocalisation Between Pairs of Genetic Association Studies Using Summary Statistics [PDF]
Genetic association studies, in particular the genome-wide association study design, have provided a wealth of novel insights into the aetiology of a wide range of human diseases and traits. The next challenge consists of understanding the molecular basis of these associations. The integration of multiple association datasets, including gene expression
arxiv +1 more source
Cancer metastasis begins with intravasation, a complex process involving cancer‐endothelial interactions. INVADE (Intravasation‐on‐µDevice), a biomimetic microfluidic platform enables high‐throughput analysis of intravasation under controlled conditions.
Fengtao Jiang+12 more
wiley +1 more source
Generalized Admixture Mapping for Complex Traits [PDF]
Admixture mapping is a popular tool to identify regions of the genome associated with traits in a recently admixed population. Existing methods have been developed primarily for identification of a single locus influencing a dichotomous trait within a case-control study design. We propose a generalized admixture mapping (GLEAM) approach, a flexible and
arxiv