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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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A two-phase procedure for non-normal quantitative trait genetic association study.

Wei Zhang1, Huiyun Li2, Zhaohai Li3

  • 1Key Laboratory of Systems Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China. zhangwei@amss.ac.cn.

BMC Bioinformatics
|January 30, 2016
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Summary
This summary is machine-generated.

This study introduces a robust two-phase method for genetic association studies with non-normal traits when the genetic model is unknown. The approach enhances power and controls errors, outperforming existing methods.

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Area of Science:

  • Genetics
  • Biostatistics

Background:

  • Nonparametric trend tests (NPT) are suitable for genetic association studies with non-normally distributed quantitative traits.
  • Optimal NPT performance relies on knowing the underlying genetic model (mode of inheritance).
  • Unknown genetic models can lead to reduced statistical power in association studies.

Purpose of the Study:

  • To develop a robust two-phase procedure for genetic association studies involving non-normal quantitative traits when the genetic model is uncertain.
  • To improve statistical power and maintain accurate type I error rates in such scenarios.

Main Methods:

  • A two-phase procedure involving model selection followed by optimal test construction.
  • Derivation of the joint distribution of test statistics to control the type I error rate.
  • Utilizing a model selection step to identify the most appropriate genetic model.

Main Results:

  • The proposed two-phase method effectively handles uncertainty in genetic models for non-normal trait association studies.
  • The method demonstrates improved robustness and maintained statistical power compared to existing approaches.
  • Simulation results and a real-world application confirmed the method's performance.

Conclusions:

  • The novel two-phase procedure offers a more robust approach for genetic association studies with non-normal traits and unknown genetic models.
  • The method successfully identified a genetic association with the DNAH9 gene and anti-cyclic citrullinated peptide antibody levels.
  • This approach provides a valuable tool for genetic research where underlying genetic architectures are not predefined.