Abstract:
:Linkage disequilibrium mapping of quantitative traits is a powerful method for dissecting the genetic etiology of complex phenotypes. Quantitative traits, however, often exhibit characteristics that make their use problematic. For example, the distribution of the trait may be censored, highly skewed, or contaminated with outlying values. We propose here a rank-based framework for deriving tests of gene and trait association that explicitly take censoring into account and are insensitive to skewness and outlying values. Standard methods for mapping quantitative traits do not take these characteristics into account, which leads to the discarding of valuable information or their improper application. We show how this framework can be applied in nuclear families and discuss its implementation in general pedigrees. The power and efficacy of the approach is illustrated through a series of simulation experiments in which the approach is compared to existing methods.
journal_name
Genet Epidemioljournal_title
Genetic epidemiologyauthors
Allen AS,Martin ER,Qin X,Li YJdoi
10.1002/gepi.20141subject
Has Abstractpub_date
2006-04-01 00:00:00pages
248-58issue
3eissn
0741-0395issn
1098-2272journal_volume
30pub_type
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