Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Biological or biochemical
Reexamination Certificate
2006-03-08
2010-06-29
Zhou, Shubo (Joe) (Department: 1631)
Data processing: measuring, calibrating, or testing
Measurement system in a specific environment
Biological or biochemical
C702S020000, C703S011000
Reexamination Certificate
active
07747392
ABSTRACT:
A physiogenomics method for predicting an individual's response to an environmental stimulus comprises producing and recording a physiogenomic model. The model is produced b a method including selecting a plurality of genetic markers, identifying significant covariates among demographic data to produce correlated markers for use as a covariate in an unadjusted association test; performing for the plurality each selected genetic markers an unadjusted association test; using permutation testing to select a plurality of model building markers; identifying one or more genes not associated with a particular outcome in the individual to serve as a physiogenomic control; and presenting a display of the individual's predicted physiological response. One can then compare the genetic markers of the individual to the physiogenomic database and convey to the individual an appropriate treatment intervention.
REFERENCES:
patent: 6081786 (2000-06-01), Barry et al.
patent: 2001/0034023 (2001-10-01), Stanton, Jr. et al.
patent: 2003/0219760 (2003-11-01), Gordon et al.
patent: 2004/0018491 (2004-01-01), Gunderson et al.
patent: 2004/0166519 (2004-08-01), Cargill et al.
patent: 2005/0079532 (2005-04-01), Margus et al.
patent: 2006/0223058 (2006-10-01), Cox et al.
patent: 2006/0278241 (2006-12-01), Ruano
patent: 2007/0038386 (2007-02-01), Schadt et al.
Haga et al. J. Hum. Genet., vol. 47, pp. 605-610, 2002.
Glannon; “Key Concepts Endophenotypes”; Philosophy, Psychiatry & Psychology; 10; pp. 277-284; (2003).
International Search Report and Written Opinion; International Application No. PCT/US 07/63501; International Filing Date Mar. 7, 2007; Applicant's File Reference 4835-4003PC1; 14 pages.
Blangero, et al.; “Robust LOD Scores for Variance Component-Based Linkage Analysis”; Genetic Epidemiology; 19 (Suppl. 1); pp. S8-S14; 2000.
Holford et al.; “Designing Physiogenomic Studies”; Pharmacogenomics; 7; pp. 157-158; (2006).
Manly, et al., “Overview of QTL Mapping Software and Introduction to Map Manager QT”; Mammalian Genome; 10; pp. 327-334; 1999.
Ruano et al., “Physiogenomic Analysis Links Serum Creatine Kinase Activities During Statin Therapy to Vascular Smooth Muscle Homeostasis”; Pharmacogenomics; 6; pp. 865-872; (2005).
Ruano, et al.;“Apolipoprotein A1 Genotype Affects the Change in High Density Lipoprotein Cholesterol Subfractions With Exercise Training”; Atherosclerosis; 185; pp. 65-59; 2006.
DiRienzo, et al; “Non-parametric Methods to Predict HIV Drug Susceptibility Phenotype from Genotype”; Statistics in Medicine; 22; pp. 2785-2798; (2003).
Hastie, et al; “Generalized Additive Models”; Department of Statistics and Division of Biostatistics; pp. 1-14; May 12, 1995.
U.S. Appl. No. 11/010,716, filed Dec. 12, 2004, Nonfinal Office Action dated Aug. 31, 2007; 16 pages.
U.S. Appl. No. 11/010,716, filed Dec. 14, 2004, Nonfinal Office Action dated Jul. 24, 2008, 15 pages.
Park, et al.; “Linking Gene Expression Data with Patient Survival Times Using Partial Least Squares”; Bioinformatics; 18; pp. S120-2127; (2002).
U.S. Appl. No. 11/010,716 Final Office Action dated Nov. 13, 2009; 31 pages.
Hoggart, et al.; “Control of Confounding of Genetic Associations in Stratified Populations”; Am. J. Hum. Genet.; 72; pp. 1492-1504; (2003).
Jonsson, et al.; “Automated Covariate Model Building Within NONMEM”; Pharmaceutical Research; 15; pp. 1463-1468; (1998).
Schaid, et al.; “General Score Tests for Associations of Genetic Markers with Disease Using Cases and Their Parents”; Genetic Epidemiology; 13; pp. 423-449; (1996).
Prentice, R. L.; “Logistic Disease Incidence Models and Case-Control Studies”; Biometrika; 66; pp. 403-411; (1979).
Ruaño Gualberto
Windemuth Andreas
Cantor & Colburn LLP
Genomas, Inc.
Zhou Shubo (Joe)
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