Principal component analysis
Principal component analysis is a versatile statistical method for reducing a cases-by-
variables data table to its essential features, called principal components. Principal …
variables data table to its essential features, called principal components. Principal …
Correlation and association analyses in microbiome study integrating multiomics in health and disease
Y Xia - Progress in molecular biology and translational …, 2020 - Elsevier
Correlation and association analyses are one of the most widely used statistical methods in
research fields, including microbiome and integrative multiomics studies. Correlation and …
research fields, including microbiome and integrative multiomics studies. Correlation and …
Polygenic scoring accuracy varies across the genetic ancestry continuum
Polygenic scores (PGSs) have limited portability across different groupings of individuals (for
example, by genetic ancestries and/or social determinants of health), preventing their …
example, by genetic ancestries and/or social determinants of health), preventing their …
Genome-wide polygenic score to predict chronic kidney disease across ancestries
Chronic kidney disease (CKD) is a common complex condition associated with high
morbidity and mortality. Polygenic prediction could enhance CKD screening and prevention; …
morbidity and mortality. Polygenic prediction could enhance CKD screening and prevention; …
Meta-analysis of genome-wide association studies for height and body mass index in∼ 700000 individuals of European ancestry
Recent genome-wide association studies (GWAS) of height and body mass index (BMI) in∼
250000 European participants have led to the discovery of∼ 700 and∼ 100 nearly …
250000 European participants have led to the discovery of∼ 700 and∼ 100 nearly …
Minimal phenotyping yields genome-wide association signals of low specificity for major depression
Minimal phenotyping refers to the reliance on the use of a small number of self-reported
items for disease case identification, increasingly used in genome-wide association studies …
items for disease case identification, increasingly used in genome-wide association studies …
A catalog of genetic loci associated with kidney function from analyses of a million individuals
Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic
complications. Through trans-ancestry meta-analysis of genome-wide association studies of …
complications. Through trans-ancestry meta-analysis of genome-wide association studies of …
Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways
Neuroticism is an important risk factor for psychiatric traits, including depression, anxiety,,
and schizophrenia,–. At the time of analysis, previous genome-wide association studies …
and schizophrenia,–. At the time of analysis, previous genome-wide association studies …
A resource-efficient tool for mixed model association analysis of large-scale data
The genome-wide association study (GWAS) has been widely used as an experimental
design to detect associations between genetic variants and a phenotype. Two major …
design to detect associations between genetic variants and a phenotype. Two major …
Improved polygenic prediction by Bayesian multiple regression on summary statistics
Accurate prediction of an individual's phenotype from their DNA sequence is one of the great
promises of genomics and precision medicine. We extend a powerful individual-level data …
promises of genomics and precision medicine. We extend a powerful individual-level data …