Skip to main content

and
  1. Article

    Open Access

    Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention

    Although physical activity and sedentary behavior are moderately heritable, little is known about the mechanisms that influence these traits. Combining data for up to 703,901 individuals from 51 studies in a m...

    Zhe Wang, Andrew Emmerich, Nicolas J. Pillon, Tim Moore, Daiane Hemerich in Nature Genetics (2022)

  2. No Access

    Article

    The trans-ancestral genomic architecture of glycemic traits

    Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregate...

    Ji Chen, Cassandra N. Spracklen, Gaëlle Marenne, Arushi Varshney in Nature Genetics (2021)

  3. Article

    Open Access

    A novel Markov Blanket-based repeated-fishing strategy for capturing phenotype-related biomarkers in big omics data

    We propose a novel Markov Blanket-based repeated-fishing strategy (MBRFS) in attempt to increase the power of existing Markov Blanket method (DASSO-MB) and maintain its advantages in omic data analysis.

    Hongkai Li, Zhongshang Yuan, Jiadong Ji, **g Xu, Tao Zhang in BMC Genetics (2016)

  4. Article

    Open Access

    A powerful score-based test statistic for detecting gene-gene co-association

    The genetic variants identified by Genome-wide association study (GWAS) can only account for a small proportion of the total heritability for complex disease. The existence of gene-gene joint effects which con...

    **g Xu, Zhongshang Yuan, Jiadong Ji, **aoshuai Zhang, Hongkai Li in BMC Genetics (2016)

  5. Article

    Open Access

    Integrative Bayesian variable selection with gene-based informative priors for genome-wide association studies

    Genome-wide Association Studies (GWAS) are typically designed to identify phenotype-associated single nucleotide polymorphisms (SNPs) individually using univariate analysis methods. Though providing valuable insi...

    **aoshuai Zhang, Fuzhong Xue, Hong Liu, Dianwen Zhu, Bin Peng in BMC Genetics (2014)

  6. Article

    Open Access

    A powerful latent variable method for detecting and characterizing gene-based gene-gene interaction on multiple quantitative traits

    On thinking quantitatively of complex diseases, there are at least three statistical strategies for analyzing the gene-gene interaction: SNP by SNP interaction on single trait, gene-gene (each can involve mult...

    Fangyu Li, **ghua Zhao, Zhongshang Yuan, **aoshuai Zhang, Jiadong Ji in BMC Genetics (2013)

  7. Article

    Open Access

    Detection for gene-gene co-association via kernel canonical correlation analysis

    Currently, most methods for detecting gene-gene interaction (GGI) in genomewide association studies (GWASs) are limited in their use of single nucleotide polymorphism (SNP) as the unit of association. One way ...

    Zhongshang Yuan, Qingsong Gao, Yungang He, **aoshuai Zhang, Fangyu Li in BMC Genetics (2012)