Multi-omics integration in biomedical research–A metabolomics-centric review
Recent advances in high-throughput technologies have enabled the profiling of multiple
layers of a biological system, including DNA sequence data (genomics), RNA expression …
layers of a biological system, including DNA sequence data (genomics), RNA expression …
Melatonin in type 2 diabetes mellitus and obesity
Despite considerable advances in the past few years, obesity and type 2 diabetes mellitus
(T2DM) remain two major challenges for public health systems globally. In the past 9 years …
(T2DM) remain two major challenges for public health systems globally. In the past 9 years …
Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
Cardiometabolic diseases are the leading cause of death worldwide. Despite a known
genetic component, our understanding of these diseases remains incomplete. Here, we …
genetic component, our understanding of these diseases remains incomplete. Here, we …
Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale
Large-scale whole-genome sequencing studies have enabled the analysis of rare variants
(RVs) associated with complex phenotypes. Commonly used RV association tests have …
(RVs) associated with complex phenotypes. Commonly used RV association tests have …
Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine
Migraine is a debilitating neurological disorder affecting around one in seven people
worldwide, but its molecular mechanisms remain poorly understood. There is some debate …
worldwide, but its molecular mechanisms remain poorly understood. There is some debate …
Systematic identification of trans eQTLs as putative drivers of known disease associations
Identifying the downstream effects of disease-associated SNPs is challenging. To help
overcome this problem, we performed expression quantitative trait locus (eQTL) meta …
overcome this problem, we performed expression quantitative trait locus (eQTL) meta …
Efficient multivariate linear mixed model algorithms for genome-wide association studies
Multivariate linear mixed models (mvLMMs) are powerful tools for testing associations
between single-nucleotide polymorphisms and multiple correlated phenotypes while …
between single-nucleotide polymorphisms and multiple correlated phenotypes while …
The genetic architecture of appendicular lean mass characterized by association analysis in the UK Biobank study
Appendicular lean mass (ALM) is a heritable trait associated with loss of lean muscle mass
and strength, or sarcopenia, but its genetic determinants are largely unknown. Here we …
and strength, or sarcopenia, but its genetic determinants are largely unknown. Here we …
An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations
Population structure causes genome-wide linkage disequilibrium between unlinked loci,
leading to statistical confounding in genome-wide association studies. Mixed models have …
leading to statistical confounding in genome-wide association studies. Mixed models have …
Population structure in genetic studies: Confounding factors and mixed models
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute
to the development and progression of a specific disease. Over the past 10 years, new …
to the development and progression of a specific disease. Over the past 10 years, new …