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Sequential Haplotype Scan Methods for Association Analysis by Zhaoxia Yu; Daniel J. Schaid is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

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## Abstract Multi‐locus association analyses, including haplotype‐based analyses, can sometimes provide greater power than single‐locus analyses for detecting disease susceptibility loci. This potential gain, however, can be compromised by the large number of degrees of freedom caused by irrelevant markers. Exhaustive search for the optimal set of markers might be possible for a small number of markers, yet it is computationally inefficient. In this paper, we present a sequential haplotype scan method to search for combinations of adjacent markers that are jointly associated with disease status. When evaluating each marker, we add markers close to it in a sequential manner: a marker is added if its contribution to the haplotype association with disease is warranted, conditional on current haplotypes. This conditional evaluation is based on the well‐known Mantel‐Haenszel statistic. We propose two permutation based methods to evaluate the growing haplotypes: a haplotype method for the combined markers, and a summary method that sums conditional statistics. We compared our proposed methods, the single‐locus method, and a sliding window method using simulated data. We also applied our

Who reads Sequential Haplotype Scan Methods for Association Analysis?

Author

Zhaoxia Yu; Daniel J. Schaid

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0741-0395)

Published

2007

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)