Summary of Genetic Analysis Workshop 15: Group 9 linkage analysis of the CEPH expression data.
Group 9 participants carried out linkage analysis of the Centre d'Etude de Polymorphism Humain (CEPH) expression data, using strategies that ranged from focused investigation of a small number of traits to full genome scans of all available traits. Results from five key areas encompass the most important results within and across the 17 participating groups. First, both extensive genetic heterogeneity and poor predictability of mapping results based on heritability have key implications for study design. Second, choice of the map used for linkage analysis is influential, with the implication that meiotic maps are preferable to physical maps. Third, performance of different analytic methods was in general fairly consistent, with the exception of one variance-component method that uses marker allele sharing as the dependent rather than independent variable. Fourth, multivariate analysis approaches did not generally appear to provide advantages over univariate approaches for linkage detection. Finally, there were computational and analytic challenges in working with a large public data set, along with need for more data documentation.
Wijsman
Ellen M
EM
Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA. wijsman@u.washington.edu
Sung
Yun Ju
YJ
Buil
Alfonso
A
Atkinson
Elizabeth
E
Bastone
Laurel
L
Christensen
G Bryce
GB
Diao
Guoding
G
Feng
Tao
T
Franceschini
Nora
N
Huang
Song
S
Kan
Donghui
D
Kerner
Berit
B
Lantieri
Francesca
F
Lee
Eunjee
E
Papachristou
Charalampos
C
Paterson
Andrew
A
Rangrej
Jagadish
J
Wang
Shuang
S
Xing
Chao
C
Zhu
Xiaofang
X
D015870:Gene Expression; D018740:Genetic Heterogeneity; D008040:Genetic Linkage; D005819:Genetic Markers; D006801:Humans; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide; D040641:Quantitative Trait Loci
D005819:Genetic Markers