Multipoint affected sibpair linkage methods for localizing susceptibility genes of complex diseases
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Updated: Sep 27, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
David V Glidden1, Kung-Yee Liang, Yen-Feng Chiu
1Department of Epidemiology and Biostatistics, Box 560, University of California, San Francisco, CA 94143-0560, USA. dave@biostat.ucsf.edu
Abstract:
Recently, Liang et al. ([2001] Hum. Hered. 51:64-78) proposed a general multipoint linkage method for estimating the chromosomal position of a putative susceptibility locus. Their technique is computationally simple and does not require specification of penetrance or a mode of inheritance. In complex genetic diseases, covariate data may be available which reflect etiologic or locus heterogeneity. We developed approaches to incorporating covariates into the method of Liang et al. ([2001] Hum. Hered. 51:64-78) with particular attention to exploiting age-at-onset information. The results of simulation studies, and a worked data example using a family data set ascertained through probands with schizophrenia, suggest that utilizing covariate information can yield substantial efficiency gains in localizing susceptibility genes.
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