A novel statistical method for rare-variant association studies in general pedigrees

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In this paper, the authors discuss a novel statistical method for rare-variant association studies in general pedigrees for quantitative traits. This method uses a retrospective view that treats the traits as fixed and the genotypes as random, which accounts for complex and undefined ascertainment of families.

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4 p.

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Zhu, Huanhuan; Wang, Zhenchuan; Wang, Xuexia & Sha, Qiuying October 18, 2016.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Arts and Sciences to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 32 times , with 6 in the last month . More information about this paper can be viewed below.

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Description

In this paper, the authors discuss a novel statistical method for rare-variant association studies in general pedigrees for quantitative traits. This method uses a retrospective view that treats the traits as fixed and the genotypes as random, which accounts for complex and undefined ascertainment of families.

Physical Description

4 p.

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  • Genetic Analysis Workshop 19, August 24-26, 2016. Vienna, Austria.

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  • Publication Title: BMC Proceedings: Genetic Analysis Workshop 19: Sequence, Blood Pressure and Expression Data.
  • Volume: 10
  • Issue: Supplement 7
  • Pages: 193-196

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  • October 18, 2016

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  • March 15, 2017, 12:42 p.m.

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Zhu, Huanhuan; Wang, Zhenchuan; Wang, Xuexia & Sha, Qiuying. A novel statistical method for rare-variant association studies in general pedigrees, paper, October 18, 2016; London, UK. (digital.library.unt.edu/ark:/67531/metadc958737/: accessed October 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.