Deconstructing a syndrome: genomic insights into PCOS causal mechanisms and classification
Polycystic ovary syndrome (PCOS) is among the most common disorders in women of
reproductive age, affecting up to 15% worldwide, depending on the diagnostic criteria …
reproductive age, affecting up to 15% worldwide, depending on the diagnostic criteria …
Status and prospects of genome‐wide association studies in plants
Genome‐wide association studies (GWAS) have developed into a powerful and ubiquitous
tool for the investigation of complex traits. In large part, this was fueled by advances in …
tool for the investigation of complex traits. In large part, this was fueled by advances in …
Benefits and limitations of genome-wide association studies
Genome-wide association studies (GWAS) involve testing genetic variants across the
genomes of many individuals to identify genotype–phenotype associations. GWAS have …
genomes of many individuals to identify genotype–phenotype associations. GWAS have …
[HTML][HTML] Impact of climate change on crops adaptation and strategies to tackle its outcome: A review
Agriculture and climate change are internally correlated with each other in various aspects,
as climate change is the main cause of biotic and abiotic stresses, which have adverse …
as climate change is the main cause of biotic and abiotic stresses, which have adverse …
[HTML][HTML] Gene–environment interactions and their impact on human health
SJ Virolainen, A VonHandorf, KCMF Viel… - Genes & …, 2023 - nature.com
The molecular processes underlying human health and disease are highly complex. Often,
genetic and environmental factors contribute to a given disease or phenotype in a non …
genetic and environmental factors contribute to a given disease or phenotype in a non …
[HTML][HTML] Deep learning in Alzheimer's disease: diagnostic classification and prognostic prediction using neuroimaging data
Deep learning, a state-of-the-art machine learning approach, has shown outstanding
performance over traditional machine learning in identifying intricate structures in complex …
performance over traditional machine learning in identifying intricate structures in complex …
The how and why of lncRNA function: an innate immune perspective
EK Robinson, S Covarrubias, S Carpenter - Biochimica et Biophysica Acta …, 2020 - Elsevier
Next-generation sequencing has provided a more complete picture of the composition of the
human transcriptome indicating that much of the “blueprint” is a vastness of poorly …
human transcriptome indicating that much of the “blueprint” is a vastness of poorly …
Mendelian randomization in cardiometabolic disease: challenges in evaluating causality
Mendelian randomization (MR) is a burgeoning field that involves the use of genetic variants
to assess causal relationships between exposures and outcomes. MR studies can be …
to assess causal relationships between exposures and outcomes. MR studies can be …
[HTML][HTML] LDlinkR: An R Package for Rapidly Calculating Linkage Disequilibrium Statistics in Diverse Populations
TA Myers, SJ Chanock, MJ Machiela - Frontiers in genetics, 2020 - frontiersin.org
Genomic research involving human genetics and evolutionary biology relies heavily on
linkage disequilibrium (LD) to investigate population-specific genetic structure, functionally …
linkage disequilibrium (LD) to investigate population-specific genetic structure, functionally …
Genome-wide association studies of cancer: current insights and future perspectives
Genome-wide association studies (GWAS) provide an agnostic approach for investigating
the genetic basis of complex diseases. In oncology, GWAS of nearly all common …
the genetic basis of complex diseases. In oncology, GWAS of nearly all common …