Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Daniel E. Weeks"'
Publikováno v:
BMC Genetics, Vol 6, Iss Suppl 1, p S27 (2005)
BMC Genetics
BMC Genetics
Using the Genetic Analysis Workshop 14 (GAW14) simulated dataset, we compare microsatellite and single-nucleotide polymorphism (SNP) markers in terms of two measures of information content, the traditional entropy-based information content measure, a
Publikováno v:
BMC Genetics, Vol 6, Iss Suppl 1, p S143 (2005)
BMC Genetics
BMC Genetics
Linkage analysis methods that incorporate etiological heterogeneity of complex diseases are likely to demonstrate greater power than traditional linkage analysis methods. Several such methods use covariates to discriminate between linked and unlinked
Autor:
Silke, Schmidt, William K, Scott, Eric A, Postel, Anita, Agarwal, Elizabeth R, Hauser, Monica A, De La Paz, John R, Gilbert, Daniel E, Weeks, Michael B, Gorin, Jonathan L, Haines, Margaret A, Pericak-Vance
Publikováno v:
BMC Genetics, Vol 5, Iss 1, p 18 (2004)
BMC Genetics
BMC Genetics
Background Age-related macular degeneration (AMD) is a complex disorder that is responsible for the majority of central vision loss in older adults living in developed countries. Phenotypic and genetic heterogeneity complicate the analysis of genome-
Autor:
Eric A. Postel, Elizabeth R. Hauser, Monica A. De La Paz, Michael B. Gorin, William K. Scott, Anita Agarwal, John R. Gilbert, Daniel E. Weeks, Jonathan L. Haines, Silke Schmidt, Margaret A. Pericak-Vance
Publikováno v:
BMC Genetics. 5:18
Age-related macular degeneration (AMD) is a complex disorder that is responsible for the majority of central vision loss in older adults living in developed countries. Phenotypic and genetic heterogeneity complicate the analysis of genome-wide scans
Autor:
Nandita Mukhopadhyay, Daniel E. Weeks
Publikováno v:
BMC Genetics
Current linkage analysis methods for quantitative traits do not usually incorporate imprinting effects. Here, we carried out genome-wide linkage analysis for loci influencing adult height in the Framingham Heart Study subjects using variance componen