BMC Medical Genetics (Aug 2010)

Asthma-susceptibility variants identified using probands in case-control and family-based analyses

  • Himes Blanca E,
  • Lasky-Su Jessica,
  • Wu Ann C,
  • Wilk Jemma B,
  • Hunninghake Gary M,
  • Klanderman Barbara,
  • Murphy Amy J,
  • Lazarus Ross,
  • Soto-Quiros Manuel E,
  • Avila Lydiana,
  • Celedón Juan C,
  • Lange Christoph,
  • O'Connor George T,
  • Raby Benjamin A,
  • Silverman Edwin K,
  • Weiss Scott T

DOI
https://doi.org/10.1186/1471-2350-11-122
Journal volume & issue
Vol. 11, no. 1
p. 122

Abstract

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Abstract Background Asthma is a chronic respiratory disease whose genetic basis has been explored for over two decades, most recently via genome-wide association studies. We sought to find asthma-susceptibility variants by using probands from a single population in both family-based and case-control association designs. Methods We used probands from the Childhood Asthma Management Program (CAMP) in two primary genome-wide association study designs: (1) probands were combined with publicly available population controls in a case-control design, and (2) probands and their parents were used in a family-based design. We followed a two-stage replication process utilizing three independent populations to validate our primary findings. Results We found that single nucleotide polymorphisms with similar case-control and family-based association results were more likely to replicate in the independent populations, than those with the smallest p-values in either the case-control or family-based design alone. The single nucleotide polymorphism that showed the strongest evidence for association to asthma was rs17572584, which replicated in 2/3 independent populations with an overall p-value among replication populations of 3.5E-05. This variant is near a gene that encodes an enzyme that has been implicated to act coordinately with modulators of Th2 cell differentiation and is expressed in human lung. Conclusions Our results suggest that using probands from family-based studies in case-control designs, and combining results of both family-based and case-control approaches, may be a way to augment our ability to find SNPs associated with asthma and other complex diseases.