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  1. No Access

    Article

    Improving the Power to Detect Indirect Effects in Mediation Analysis

    Causal mediation analysis seeks to determine whether an independent variable affects a response variable directly or whether it does so indirectly, by way of a mediator. The existing statistical tests to deter...

    John Kidd, Dan-Yu Lin in Statistics in Biosciences (2024)

  2. Article

    Open Access

    A computational method for cell type-specific expression quantitative trait loci map** using bulk RNA-seq data

    Map** cell type-specific gene expression quantitative trait loci (ct-eQTLs) is a powerful way to investigate the genetic basis of complex traits. A popular method for ct-eQTL map** is to assess the interac...

    Paul Little, Si Liu, Vasyl Zhabotynsky, Yun Li, Dan-Yu Lin in Nature Communications (2023)

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    Article

    Cell-type-aware analysis of RNA-seq data

    Most tissue samples are composed of different cell types. Differential expression analysis without accounting for cell-type composition cannot separate the changes due to cell-type composition or cell type-spe...

    Chong **, Mengjie Chen, Dan-Yu Lin, Wei Sun in Nature Computational Science (2021)

  4. Article

    Open Access

    Statistically efficient association analysis of quantitative traits with haplotypes and untyped SNPs in family studies

    Associations between haplotypes and quantitative traits provide valuable information about the genetic basis of complex human diseases. Haplotypes also provide an effective way to deal with untyped SNPs. Two m...

    Guoqing Diao, Dan-yu Lin in BMC Genetics (2020)

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    Article

    Genetic analyses of diverse populations improves discovery for complex traits

    Genome-wide association studies (GWAS) have laid the foundation for investigations into the biology of complex traits, drug development and clinical guidelines. However, the majority of discovery efforts are b...

    Genevieve L. Wojcik, Mariaelisa Graff, Katherine K. Nishimura, Ran Tao in Nature (2019)

  6. Article

    Open Access

    Associating somatic mutations to clinical outcomes: a pan-cancer study of survival time

    We developed subclone multiplicity allocation and somatic heterogeneity (SMASH), a new statistical method for intra-tumor heterogeneity (ITH) inference. SMASH is tailored to the purpose of large-scale associat...

    Paul Little, Dan-Yu Lin, Wei Sun in Genome Medicine (2019)

  7. Article

    Open Access

    I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms

    We propose a statistical boosting method, termed I-Boost, to integrate multiple types of high-dimensional genomics data with clinical data for predicting survival time. I-Boost provides substantially higher pr...

    Kin Yau Wong, Cheng Fan, Maki Tanioka, Joel S. Parker, Andrew B. Nobel in Genome Biology (2019)

  8. Article

    Open Access

    Author Correction: Transitions from Ideal to Intermediate Cholesterol Levels may vary by Cholesterol Metric

    A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper

    Joseph C. Engeda, Katelyn M. Holliday, Shakia T. Hardy in Scientific Reports (2018)

  9. Article

    Open Access

    Transitions from Ideal to Intermediate Cholesterol Levels may vary by Cholesterol Metric

    To examine the ability of total cholesterol (TC), a low-density lipoprotein cholesterol (LDL-C) proxy widely used in public health initiatives, to capture important population-level shifts away from ideal and ...

    Joseph C. Engeda, Katelyn M. Holliday, Shakia T. Hardy in Scientific Reports (2018)

  10. Article

    Open Access

    PreMeta: a tool to facilitate meta-analysis of rare-variant associations

    Meta-analysis is essential to the discovery of rare variants that influence complex diseases and traits. Four major software packages, namely MASS, MetaSKAT, RAREMETAL, and seqMeta, have been developed to perf...

    Zheng-Zheng Tang, Paul Bunn, Ran Tao, Zhouwen Liu, Dan-Yu Lin in BMC Genomics (2017)

  11. No Access

    Article

    Genetic variation in estrogen and progesterone pathway genes and breast cancer risk: an exploration of tumor subtype-specific effects

    To determine whether associations between estrogen pathway-related single nucleotide polymorphisms (SNPs) and breast cancer risk differ by molecular subtype, we evaluated associations between SNPs in cytochrom...

    Sarah J. Nyante, Marilie D. Gammon, Jay S. Kaufman in Cancer Causes & Control (2015)

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    Article

    Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

    Erik Ingelsson and colleagues report a large-scale genome-wide meta-analysis for associations to the extremes of anthropometric traits, including body mass index, height, waist-to-hip ratio and clinical obesit...

    Sonja I Berndt, Stefan Gustafsson, Reedik Mägi, Andrea Ganna in Nature Genetics (2013)

  13. No Access

    Article

    Common genetic variation in adiponectin, leptin, and leptin receptor and association with breast cancer subtypes

    Adipocytokines are produced by visceral fat, and levels may be associated with breast cancer risk. We investigated whether single nucleotide polymorphisms (SNPs) in adipocytokine genes adiponectin (ADIPOQ), lepti...

    Sarah J. Nyante, Marilie D. Gammon, Jay S. Kaufman in Breast Cancer Research and Treatment (2011)