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Ann Appl Stat. 2014 Jun;8(2):974-998. doi: 10.1214/14-aoas715.

LEVERAGING LOCAL IDENTITY-BY-DESCENT INCREASES THE POWER OF CASE/CONTROL GWAS WITH RELATED INDIVIDUALS.

The annals of applied statistics

Joshua N Sampson, Bill Wheeler, Peng Li, Jianxin Shi

Affiliations

  1. Division of Cancer Epidemiology and Genetics, National Cancer Institute.
  2. Information Management Services.

PMID: 25544865 PMCID: PMC4275846 DOI: 10.1214/14-aoas715

Abstract

Large case/control genome-wide association studies (GWAS) often include groups of related individuals with known relationships. When testing for associations at a given locus, current methods incorporate only the familial relationships between individuals. Here, we introduce the chromosome-based Quasi Likelihood Score (cQLS) statistic that incorporates local Identity-By-Descent (IBD) to increase the power to detect associations. In studies robust to population stratification, such as those with case/control sibling pairs, simulations show that the study power can be increased by over 50%. In our example, a GWAS examining late-onset Alzheimers disease, the p-values among the most strongly associated SNPs in the APOE gene tend to decrease, with the smallest p-value decreasing from 1.23 × 10

Keywords: GWAS; cQLS; case-control; related individuals

References

  1. Am J Epidemiol. 2012 Jul 1;176(1):70-9 - PubMed
  2. Eur J Hum Genet. 2001 Apr;9(4):291-300 - PubMed
  3. Nat Rev Genet. 2005 Feb;6(2):95-108 - PubMed
  4. Nat Genet. 2006 Aug;38(8):904-9 - PubMed
  5. Nat Genet. 2008 Feb;40(2):161-9 - PubMed
  6. Genome Res. 1999 Mar;9(3):234-41 - PubMed
  7. Arch Neurol. 2008 Nov;65(11):1518-26 - PubMed
  8. Am J Hum Genet. 2011 Feb 11;88(2):173-82 - PubMed
  9. Genome Res. 2007 Nov;17(11):1665-74 - PubMed
  10. Am J Hum Genet. 2012 Jun 8;90(6):1028-45 - PubMed
  11. Nat Rev Neurosci. 2007 Nov;8(11):832-43 - PubMed
  12. Bioinformatics. 2011 Mar 1;27(5):670-7 - PubMed
  13. Am J Hum Genet. 2010 Apr 9;86(4):526-39 - PubMed
  14. PLoS Genet. 2008 Sep 26;4(9):e1000180 - PubMed
  15. Biostatistics. 2003 Apr;4(2):195-206 - PubMed
  16. Lancet. 2005 Oct 8;366(9493):1315-23 - PubMed
  17. Bioinformatics. 2013 Jul 1;29(13):i162-70 - PubMed
  18. Am J Hum Genet. 2001 Jun;68(6):1457-62 - PubMed
  19. Genetics. 2011 Nov;189(3):1061-8 - PubMed
  20. Nat Genet. 2008 Aug;40(8):955-62 - PubMed
  21. Genome Res. 2009 Feb;19(2):318-26 - PubMed
  22. Nat Genet. 2007 Jan;39(1):17-23 - PubMed
  23. PLoS Genet. 2011 Feb;7(2):e1001308 - PubMed
  24. Nature. 2012 Jul 11;487(7406):190-5 - PubMed
  25. Biometrics. 2010 Dec;66(4):1024-33 - PubMed
  26. Genet Epidemiol. 2011 Jan;35(1):70-9 - PubMed
  27. Nat Methods. 2013 Jan;10(1):5-6 - PubMed
  28. Hum Hered. 2012;73(1):35-46 - PubMed
  29. Nat Rev Genet. 2011 Jun 01;12(7):465-74 - PubMed
  30. Am J Hum Genet. 2007 Aug;81(2):321-37 - PubMed
  31. Genet Epidemiol. 2000;19 Suppl 1:S36-42 - PubMed
  32. Am J Hum Genet. 2003 Sep;73(3):612-26 - PubMed
  33. PLoS Genet. 2009 Jun;5(6):e1000529 - PubMed
  34. Am J Hum Genet. 2002 Aug;71(2):238-53 - PubMed
  35. Hum Genet. 2012 Feb;131(2):275-87 - PubMed

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