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Rare Variant Association Testing by Adaptive Combination of P-values

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  • Wan-Yu Lin
  • Xiang-Yang Lou
  • Guimin Gao
  • Nianjun Liu

Abstract

With the development of next-generation sequencing technology, there is a great demand for powerful statistical methods to detect rare variants (minor allele frequencies (MAFs)

Suggested Citation

  • Wan-Yu Lin & Xiang-Yang Lou & Guimin Gao & Nianjun Liu, 2014. "Rare Variant Association Testing by Adaptive Combination of P-values," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-7, January.
    • Handle: RePEc:plo:pone00:0085728
    DOI: 10.1371/journal.pone.0085728
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    References listed on IDEAS

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    1. Benjamin M Neale & Manuel A Rivas & Benjamin F Voight & David Altshuler & Bernie Devlin & Marju Orho-Melander & Sekar Kathiresan & Shaun M Purcell & Kathryn Roeder & Mark J Daly, 2011. "Testing for an Unusual Distribution of Rare Variants," PLOS Genetics, Public Library of Science, vol. 7(3), pages 1-8, March.
    2. Bo Eskerod Madsen & Sharon R Browning, 2009. "A Groupwise Association Test for Rare Mutations Using a Weighted Sum Statistic," PLOS Genetics, Public Library of Science, vol. 5(2), pages 1-11, February.
    3. Nengjun Yi & Nianjun Liu & Degui Zhi & Jun Li, 2011. "Hierarchical Generalized Linear Models for Multiple Groups of Rare and Common Variants: Jointly Estimating Group and Individual-Variant Effects," PLOS Genetics, Public Library of Science, vol. 7(12), pages 1-15, December.
    4. Iuliana Ionita-Laza & Joseph D Buxbaum & Nan M Laird & Christoph Lange, 2011. "A New Testing Strategy to Identify Rare Variants with Either Risk or Protective Effect on Disease," PLOS Genetics, Public Library of Science, vol. 7(2), pages 1-6, February.
    5. Dajiang J Liu & Suzanne M Leal, 2010. "A Novel Adaptive Method for the Analysis of Next-Generation Sequencing Data to Detect Complex Trait Associations with Rare Variants Due to Gene Main Effects and Interactions," PLOS Genetics, Public Library of Science, vol. 6(10), pages 1-14, October.
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