Results 161 to 170 of about 46,677 (295)
Summary: Most variants identified from genome-wide association studies (GWASs) are non-coding and regulate gene expression. However, many risk loci fail to colocalize with expression quantitative trait loci (eQTLs), potentially due to limited GWAS and ...
Lida Wang +12 more
doaj +1 more source
Fast Genome-Wide QTL Analysis Using Mendel
Pedigree GWAS (Option 29) in the current version of the Mendel software is an optimized subroutine for performing large scale genome-wide QTL analysis.
Hu, Tao +4 more
core
TreeQTL: hierarchical error control for eQTL findings [PDF]
Christine B. Peterson +3 more
openalex +1 more source
Shared genes and pathways in dementia: Insights from genome‐wide association studies
Abstract Dementia, a collective term for neurodegenerative disorders marked by cognitive decline, affects millions worldwide, and is expected to rise significantly in prevalence. Genome‐wide association studies (GWASs), as highlighted in this review, have revolutionized our understanding of dementia by identifying contributing genetic loci and pathways,
Kyle J. Loi +6 more
wiley +1 more source
Abstract INTRODUCTION Alzheimer's disease (AD) is a complex neurodegenerative disorder with heterogeneous genetic and molecular underpinnings. Polygenic scores (PGS) capture little of this complexity. METHODS We conducted genome‐, transcriptome‐, and proteome‐wide association studies (G/T/PWAS) on 15,480 individuals from the Alzheimer's Disease ...
Rasika Venkatesh +8 more
wiley +1 more source
Abstract INTRODUCTION Our previous work established the AD‐BXD mouse panel as an innovative model for studying the genetic complexity and heterogeneity underlying Alzheimer's disease (AD). In this study, we leveraged this model and proteomics approach to identify protein signatures linked to cognitive resilience in AD.
Yu Chen +9 more
wiley +1 more source
Alzheimer's disease multi‐ancestry genome‐wide interaction and stratified study with smoking
Abstract INTRODUCTION Alzheimer's disease (AD) has genetic and environmental risk factors, including cigarette smoking. Gene–environment interactions may explain AD missing heritability. METHODS Lifetime smoking data from 22,032 European ancestry and 3126 African ancestry participants from the Alzheimer's Disease Genetic Consortium and the Framingham ...
Ryan Dacey +28 more
wiley +1 more source
Phenotypic differences between individuals of a species are often caused by differences in gene expression, which are in turn caused by genetic variation.
Matthew T Parker +7 more
doaj +1 more source
GI and ND GWAS and blood eQTL data were analyzed using LDSC, HDL, LAVA, GPA, PLACO, FUMA, MAGMA, SMR, HEIDI, and two‐sample MR to assess genetic correlations, pleiotropy, functional annotation, shared gene expression, and causal relationships. ABSTRACT Background This study investigates the shared genetic basis between gastrointestinal (GI) diseases ...
Yan Jiang +3 more
wiley +1 more source
Joint analyses of multi-tissue Hi-C and eQTL data demonstrate close spatial proximity between eQTLs and their target genes [PDF]
Jingting Yu, Ming Hu, Chun Li
openalex +1 more source

