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The eigen higher criticism and eigen Berk–Jones tests for multiple trait association studies based on GWAS summary statistics
The eigen higher criticism and eigen Berk–Jones tests for multiple trait association studies based on GWAS summary statistics
Abstract In this article, we propose the eigen higher criticism and the eigen Berk–Jones testing procedures to test...
A Bayesian hierarchically structured prior for gene‐based association testing with multiple traits in genome‐wide association studies
A Bayesian hierarchically structured prior for gene‐based association testing with multiple traits in genome‐wide association studies
Abstract Although genome-wide association studies (GWAS) often collect data on multiple correlated traits for complex dise...
Precisely modeling zero‐inflated count phenotype for rare variants
Precisely modeling zero‐inflated count phenotype for rare variants
Abstract Count data with excessive zeros are increasingly ubiquitous in genetic association studies, such as neuritic plaq...
Full title: A large‐scale transcriptome‐wide association study (TWAS) of 10 blood cell phenotypes reveals complexities of TWAS fine‐mapping
Full title: A large‐scale transcriptome‐wide association study (TWAS) of 10 blood cell phenotypes reveals complexities of TWAS fine‐mapping
Abstract Hematological measures are important intermediate clinical phenotypes for many acute and chronic diseases and are...
Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes
Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes
Abstract Type 2 diabetes (T2D) is an important heritable risk factor for coronary artery disease (CAD), the risk of both d...
Mendelian randomization in the multivariate general linear model framework
Mendelian randomization in the multivariate general linear model framework
Abstract Mendelian randomization (MR) is an application of instrumental variable (IV) methods to observational data in whi...
Penalized mediation models for multivariate data
Penalized mediation models for multivariate data
Abstract Statistical methods to integrate multiple layers of data, from exposures to intermediate traits to outcome variab...
REHE: Fast variance components estimation for linear mixed models
REHE: Fast variance components estimation for linear mixed models
Abstract Linear mixed models are widely used in ecological and biological applications, especially in genetic studies. Rel...
Block coordinate descent algorithm improves variable selection and estimation in error‐in‐variables regression
Block coordinate descent algorithm improves variable selection and estimation in error‐in‐variables regression
Abstract Medical research increasingly includes high-dimensional regression modeling with a need for error-in-variables me...
Multi‐marker genetic association and interaction tests with interval‐censored survival outcomes
Multi‐marker genetic association and interaction tests with interval‐censored survival outcomes
Abstract The development of set-based genetic-survival association tests has been focusing on right-censored survival outc...
Covariate adjusted inference of parent‐of‐origin effects using case–control mother–child paired multilocus genotype data
Covariate adjusted inference of parent‐of‐origin effects using case–control mother–child paired multilocus genotype data
Abstract It is of great interest to identify parent-of-origin effects (POEs) since POEs play an important role in many hum...
Taking population stratification into account by local permutations in rare‐variant association studies on small samples
Taking population stratification into account by local permutations in rare‐variant association studies on small samples
Abstract Many methods for rare variant association studies require permutations to assess the significance of tests. Stand...
Random effect based tests for multinomial logistic regression in genetic association studies
Random effect based tests for multinomial logistic regression in genetic association studies
Corresponding Author lih@fredhutch.org Public Health Scien...
InTACT: An adaptive and powerful framework for joint‐tissue transcriptome‐wide association studies
InTACT: An adaptive and powerful framework for joint‐tissue transcriptome‐wide association studies
Abstract Transcriptome-wide association studies (TWAS) that integrate transcriptomic reference data and genome-wide associ...
A novel transcriptional risk score for risk prediction of complex human diseases
A novel transcriptional risk score for risk prediction of complex human diseases
Abstract Recently polygenetic risk score (PRS) has been successfully used in the risk prediction of complex human dis...
The X factor: A robust and powerful approach to X‐chromosome‐inclusive whole‐genome association studies
The X factor: A robust and powerful approach to X‐chromosome‐inclusive whole‐genome association studies
Abstract The X-chromosome is often excluded from genome-wide association studies because of analytical challenges. Some of...
Genome‐wide association analysis of serum alanine and aspartate aminotransferase, and the modifying effects of BMI in 388k European individuals
Genome‐wide association analysis of serum alanine and aspartate aminotransferase, and the modifying effects of BMI in 388k European individuals
Abstract Serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) are biomarkers for liver health. Here w...
Identifying genetic risk variants associated with brain volumetric phenotypes via K‐sample Ball Divergence method
Identifying genetic risk variants associated with brain volumetric phenotypes via K‐sample Ball Divergence method
Abstract Regional human brain volumes including total area, average thickness, and total volume are heritable and associat...
Assisted differential network analysis for gene expression data
Assisted differential network analysis for gene expression data
Abstract In the analysis of gene expression data, when there are two or more disease conditions/groups (e.g., diseased and...
Exome sequence association study of levels and longitudinal change of cardiovascular risk factor phenotypes in European Americans and African Americans from the Atherosclerosis Risk in Communities Study
Exome sequence association study of levels and longitudinal change of cardiovascular risk factor phenotypes in European Americans and African Americans from the Atherosclerosis Risk in Communities Study
Abstract Cardiovascular disease (CVD) is responsible for 31% of all deaths worldwide. Among CVD risk factors are age, race...
Assumptions about frequency‐dependent architectures of complex traits bias measures of functional enrichment
Assumptions about frequency‐dependent architectures of complex traits bias measures of functional enrichment
Abstract Linkage-Disequilibrium Score Regression (LDSC) is a popular framework for analyzing Genome-wide Association ...
Genome‐wide association analysis of COVID‐19 mortality risk in SARS‐CoV‐2 genomes identifies mutation in the SARS‐CoV‐2 spike protein that colocalizes with P.1 of the Brazilian strain
Genome‐wide association analysis of COVID‐19 mortality risk in SARS‐CoV‐2 genomes identifies mutation in the SARS‐CoV‐2 spike protein that colocalizes with P.1 of the Brazilian strain
Abstract SARS-CoV-2 mortality has been extensively studied in relation to host susceptibility. How sequence variations in ...
Evaluation of saliva as a source of accurate whole‐genome and microbiome sequencing data
Evaluation of saliva as a source of accurate whole‐genome and microbiome sequencing data
Abstract This study sets out to establish the suitability of saliva-based whole-genome sequencing (WGS) through a comparis...
A novel Mendelian randomization method with binary risk factor and outcome
A novel Mendelian randomization method with binary risk factor and outcome
Abstract Background Mendelian randomization (MR) applies instrumental variable (IV) methods to observational data using a ...
Penalized linear mixed models for structured genetic data
Penalized linear mixed models for structured genetic data
Abstract Many genetic studies that aim to identify genetic variants associated with complex phenotypes are subject to unob...
Caution against examining the role of reverse causality in Mendelian Randomization
Caution against examining the role of reverse causality in Mendelian Randomization
Abstract Recently, Mendelian Randomization (MR) has gained in popularity as a concept to assess the causal relationship be...
Comparison of genetic risk prediction models to improve prediction of coronary heart disease in two large cohorts of the MONICA/KORA study
Comparison of genetic risk prediction models to improve prediction of coronary heart disease in two large cohorts of the MONICA/KORA study
Abstract It is still unclear how genetic information, provided as single-nucleotide polymorphisms (SNPs), can be most effe...
Testing and estimation of X‐chromosome SNP effects: Impact of model assumptions
Testing and estimation of X‐chromosome SNP effects: Impact of model assumptions
Abstract Interest in analyzing X chromosome single nucleotide polymorphisms (SNPs) is growing and several approaches have ...
Multitrait transcriptome‐wide association study (TWAS) tests
Multitrait transcriptome‐wide association study (TWAS) tests
Abstract Multitrait tests can improve power to detect associations between individual single-nucleotide polymorphisms (SNP...
Inverse probability weighting is an effective method to address selection bias during the analysis of high dimensional data
Inverse probability weighting is an effective method to address selection bias during the analysis of high dimensional data
Abstract Omics studies frequently use samples collected during cohort studies. Conditioning on sample availability can cau...
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