Reducing the exome search space for mendelian diseases using genetic linkage analysis of exome genotypes

Katherine R Smith, Catherine J Bromhead, Michael S Hildebrand, A Eliot Shearer, Paul J Lockhart, Hossein Najmabadi, Richard J Leventer, George McGillivray, David J Amor, Richard J Smith, Melanie Bahlo, Katherine R Smith, Catherine J Bromhead, Michael S Hildebrand, A Eliot Shearer, Paul J Lockhart, Hossein Najmabadi, Richard J Leventer, George McGillivray, David J Amor, Richard J Smith, Melanie Bahlo

Abstract

Many exome sequencing studies of Mendelian disorders fail to optimally exploit family information. Classical genetic linkage analysis is an effective method for eliminating a large fraction of the candidate causal variants discovered, even in small families that lack a unique linkage peak. We demonstrate that accurate genetic linkage mapping can be performed using SNP genotypes extracted from exome data, removing the need for separate array-based genotyping. We provide software to facilitate such analyses.

Figures

Figure 1
Figure 1
Partial pedigrees for families A, T and M.
Figure 2
Figure 2
Genome-wide comparison of LOD scores using array-based and WES-derived genotypes for families A, T and M.

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