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Research Article

Pathways-Driven Sparse Regression Identifies Pathways and Genes Associated with High-Density Lipoprotein Cholesterol in Two Asian Cohorts

  • Matt Silver mail,

    matt.silver@lshtm.ac.uk

    Affiliations: Statistics Section, Department of Mathematics, Imperial College, London, United Kingdom, MRC International Nutrition Group, London School of Hygiene and Tropical Medicine, London, United Kingdom

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  • Peng Chen,

    Affiliation: Saw Swee Hock School of Public Health, National University of Singapore, Singapore

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  • Ruoying Li,

    Affiliation: Yong Loo Lin School of Medicine, National University of Singapore, Singapore

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  • Ching-Yu Cheng,

    Affiliations: Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Department of Ophthalmology, National University of Singapore, Singapore, Singapore Eye Research Institute, Singapore National Eye Center, Singapore

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  • Tien-Yin Wong,

    Affiliations: Department of Ophthalmology, National University of Singapore, Singapore, Singapore Eye Research Institute, Singapore National Eye Center, Singapore

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  • E-Shyong Tai,

    Affiliations: Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Yong Loo Lin School of Medicine, National University of Singapore, Singapore

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  • Yik-Ying Teo,

    Affiliations: Saw Swee Hock School of Public Health, National University of Singapore, Singapore, NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Life Sciences Institute, National University of Singapore, Singapore, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Department of Statistics and Applied Probability, National University of Singapore, Singapore

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  • Giovanni Montana

    Affiliation: Statistics Section, Department of Mathematics, Imperial College, London, United Kingdom

    Current address: Department of Biomedical Engineering, King's College, London, United Kingdom.

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  • Published: November 21, 2013
  • DOI: 10.1371/journal.pgen.1003939

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