A novel approach for small sample size family-based association studies: Sequential tests

Ozlem Ilk, Farid Rajabli, Dilay Ciglidag Dungul, Hilal Ozdag, Hakki Gokhan Ilk

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In this paper, we propose a sequential probability ratio test (SPRT) to overcome the problem of limited samples in studies related to complex genetic diseases. The results of this novel approach are compared with the ones obtained from the traditional transmission disequilibrium test (TDT) on simulated data. Although TDT classifies single-nucleotide polymorphisms (SNPs) to only two groups (SNPs associated with the disease and the others), SPRT has the flexibility of assigning SNPs to a third group, that is, those for which we do not have enough evidence and should keep sampling. It is shown that SPRT results in smaller ratios of false positives and negatives, as well as better accuracy and sensitivity values for classifying SNPs when compared with TDT. By using SPRT, data with small sample size become usable for an accurate association analysis.

Original languageEnglish (US)
Pages (from-to)915-920
Number of pages6
JournalEuropean Journal of Human Genetics
Volume19
Issue number8
DOIs
StatePublished - Aug 2011
Externally publishedYes

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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