Application of microarray outlier detection methodology to psychiatric research.

BMC Psychiatry
Carl ErnstGustavo Turecki

Abstract

Most microarray data processing methods negate extreme expression values or alter them so that they do not lie outside the mean level of variation of the system. While microarrays generate a substantial amount of false positive and spurious results, some of the extreme expression values may be valid and could represent true biological findings. We propose a simple method to screen brain microarray data to detect individual differences across a psychiatric sample set. We demonstrate in two different samples how this method can be applied. This method targets high-throughput technology to psychiatric research on a subject-specific basis. Assessing microarray data for both mean group effects and individual effects can lead to more robust findings in psychiatric genetics.

References

May 31, 2001·Journal of Computational Biology : a Journal of Computational Molecular Cell Biology·M K KerrG A Churchill
Feb 7, 2004·Human Molecular Genetics·Lars Bertram, Rudolph E Tanzi
Apr 22, 2004·Lancet Neurology·Ludger SchölsOlaf Riess
Oct 16, 2004·Proceedings of the National Academy of Sciences of the United States of America·S J EvansH Akil
Oct 29, 2005·Science·Scott A TomlinsArul M Chinnaiyan
Dec 22, 2005·Nature Reviews. Genetics·David B AllisonMahyar Sabripour
Jan 4, 2006·Archives of General Psychiatry·Adolfo SequeiraGustavo Turecki
May 17, 2006·Biostatistics·Robert Tibshirani, Trevor Hastie
Mar 22, 2007·Neurogenetics·Carl ErnstGustavo Turecki
Sep 26, 2007·Molecular Psychiatry·A M KarssenD M Lyons

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Citations

Oct 6, 2010·Regional Anesthesia and Pain Medicine·Geoff A Bellingham, Philip W H Peng
Mar 9, 2010·Drugs·Roger Chou
May 28, 2010·Pharmacogenomics·David BrentGustavo Turecki
Apr 16, 2010·European Psychiatry : the Journal of the Association of European Psychiatrists·L M Fiori, G Turecki
May 16, 2009·Neuroscience·C ErnstG Turecki

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Methods Mentioned

BETA
chip
chips

Software Mentioned

COPA
R
maanova
EVA
Extreme Values Analysis ( EVA )

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