PMID- 21170921
OWN - NLM
STAT- MEDLINE
DCOM- 20110531
LR  - 20211203
IS  - 1097-0258 (Electronic)
IS  - 0277-6715 (Linking)
VI  - 29
IP  - 30
DP  - 2010 Dec 30
TI  - Multiple correspondence discriminant analysis: an application to detect 
      stratification in copy number variation.
PG  - 3284-93
LID - 10.1002/sim.3890 [doi]
AB  - We illustrate the use of multiple correspondence analysis (MCA) to correct for 
      population stratification of copy number alteration data. In addition, we propose 
      the use of multiple correspondence discriminant analysis (MCDA) to identify an 
      optimal set of copy number variants (CNVs) that correctly infers the population 
      stratification of a CNV map. Within MCDA, we highlight the novel use of 
      correlation with class directions for variable ranking. We found a set of 20 CNVs 
      with 98 per cent predictability in a CNV map of the HapMap populations. On this 
      sample, the selection of variables based on centroid ranking outperformed the 
      most common practice of ranking variables with their correlation to the principal 
      axes.
CI  - Copyright (c) 2010 John Wiley & Sons, Ltd.
FAU - Caceres, Alejandro
AU  - Caceres A
AD  - Center for Research in Environmental Epidemiology (CREAL), Parc de Recerca 
      Biomedica de Barcelona, 88 Doctor Aiguader, Barcelona, Spain.
FAU - Basagana, Xavier
AU  - Basagana X
FAU - Gonzalez, Juan R
AU  - Gonzalez JR
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - England
TA  - Stat Med
JT  - Statistics in medicine
JID - 8215016
SB  - IM
MH  - Computer Simulation
MH  - *DNA Copy Number Variations
MH  - *Data Interpretation, Statistical
MH  - *Discriminant Analysis
MH  - Genetic Association Studies/*methods
MH  - Humans
MH  - Polymorphism, Single Nucleotide
MH  - Racial Groups/genetics
EDAT- 2010/12/21 06:00
MHDA- 2011/06/01 06:00
CRDT- 2010/12/21 06:00
PHST- 2010/12/21 06:00 [entrez]
PHST- 2010/12/21 06:00 [pubmed]
PHST- 2011/06/01 06:00 [medline]
AID - 10.1002/sim.3890 [doi]
PST - ppublish
SO  - Stat Med. 2010 Dec 30;29(30):3284-93. doi: 10.1002/sim.3890.