Algorithm development for diagnostic biomarker assays

International Review of Neurobiology

Volumn 101, Issue , 2011, Pages 279-298

  Izmailov, Rauf ^a   Guest, Paul C ^b   Bahn, Sabine ^b,c   Schwarz, Emanuel ^b  

^a Rules Based Medicine Inc   (United States)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

Classification; Diagnosis; Feature selection; Schizophrenia; Serum based test; SVM

Indexed keywords

BIOLOGICAL MARKER;

BIOASSAY; BOOK; CLASSIFICATION ALGORITHM; CLINICAL EFFECTIVENESS; DECISION SUPPORT SYSTEM; DIAGNOSTIC ACCURACY; HUMAN; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MOLECULAR DIAGNOSIS; NON INVASIVE PROCEDURE; OUTCOME ASSESSMENT; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

EID: 80055098220     PISSN: 00747742     EISSN: None     Source Type: Book Series    
DOI: 10.1016/B978-0-12-387718-5.00011-0     Document Type: Chapter

References (17)

1. American Psychiatric Association DSM-IV-TR: Diagnostic and Statistical Manual of Mental Disorders (Diagnostic & Statistical Manual of Mental Disorders) 1994, American Psychiatric Press Inc., Arlington, VA, ISBN-13:978-0890420256. 4th revised edn.
2. Bertenshaw G.P., Yip P., Seshaiah P., Zhao J., Chen T.H., Wiggins W.S., Mapes J.P., Mansfield B.C. Multianalyte profiling of serum antigens and autoimmune and infectious disease molecules to identify biomarkers dysregulated in epithelial ovarian cancer. Cancer Epidemiol. Biomarkers Prev. 2008, 17:2872-2881.
3. Bossuyt P.M., Reitsma J.B., Bruns D.E., Gatsonis C.A., Glasziou P.P., Irwig L.M., Lijmer J.G., Moher D., Rennie D., de Vet H.C. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Clin. Chem. 2003, 49:1-6. Standards for Reporting of Diagnostic Accuracy.
4. Davies L.M., Drummond M.F. The economic burden of schizophrenia. Psychiatric Bull. 1990, 14:522-525.
5. Delaleu N., Immervoll H., Cornelius J., Jonsson R. Biomarker profiles in serum and saliva of experimental Sjogren's syndrome: associations with specific autoimmune manifestations. Arthritis Res. Ther. 2008, 10:R22.
6. Duan H., Fleming J., Pritchard D.K., Amon L.M., Xue J., Arnett H.A., Chen G., Breen P., Buckner J.H., Molitor J.A., Elkon K.B., Schwartz S.M. Combined analysis of monocyte and lymphocyte messenger RNA expression with serum protein profiles in patients with scleroderma. Arthritis Rheum. 2008, 58:1465-1474.
7. Escobar G.P., Lindsey M.L. Multi-analyte profiling of post-myocardial infarction plasma samples. FASEB J. 2007, 21(746.11).
8. Gurbel P.A., Kreutz R.P., Bliden K.P., DiChiara J., Tantry U.S. Biomarker analysis by fluorokine multianalyte profiling distinguishes patients requiring intervention from patients with long-term quiescent coronary artery disease: a potential approach to identify atherosclerotic disease progression. Am. Heart J. 2008, 155:56-61.
9. Hafner H., Maurer K. Early detection of schizophrenia: current evidence and future perspectives. World Psychiatry 2006, 5:130-138.
10. Kay S.R., Fiszbein A., Opler L.A. The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr. Bull. 1987, 13:261-276.
11. Knapp M., Mangalore R., Simon J. The global costs of schizophrenia. Schizophr. Bull. 2004, 30:279-293.
12. Lee S.P., Ataga K.I., Zayed M., Manganello J.M., Orringer E.P., Phillips D.R., Parise L.V. Phase I study of eptifibatide in patients with sickle cell anaemia. Br. J. Haematol. 2007, 139:612-620.
13. Schwarz E., Izmailov R., Spain M., Barnes A., Mapes J.P., Guest P.C., Rahmoune H., Pietsch S., Leweke F.M., Rothermundt M., Steiner J., Koethe D., et al. Validation of a blood-based laboratory test to aid in the confirmation of a diagnosis of schizophrenia. Biomark Insights 2010, 5:39-47.
14. Schwarz E., Guest P.C., Rahmoune H., Harris L.W., Wang L., Leweke F.M., Rothermundt M., Bogerts B., Koethe D., Kranaster L., Ohrmann P., Suslow T., et al. Identification of a biological signature for schizophrenia in serum. Mol. Psychiatry 2011, [Epub ahead of print].
15. Sotiriou C., Pusztais L. Gene-expression signatures in breast cancer. N. Engl. J. Med. 2009, 360:790-800.
16. Vapnik V. Statistical Learning Theory (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) 1998, John Wiley & Sons, New York, NY, ISBN-13:978-0471030034.
17. Wu E.Q., Birnbaum H.G., Shi L., Ball D.E., Kessler R.C., Moulis M., Aggarwal J. The economic burden of schizophrenia in the United States in 2002. J. Clin. Psychiatry 2005, 66:1122-1129.