Physiology and Medicine

Front Cover
Nova Publishers, 2007 - Medical - 302 pages
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Several years have passed since the sequencing of the human genome and what might be called "the post-genomic era" has begun. Of course, there are many different genomes and the term "post-genomic" does not necessarily imply the human genome. However, it is the data encoded in the human genome that hold the promise to be of practical importance in a wide range of biomedical applications. The sequencing and preliminary annotations of the human genome provided an incredible amount of the raw, largely unprocessed information. Coupled with the millions of publications on human physiology already available in public databases, it is clear that certain informational strategies should be adopted for the retrieval, analysis and representation of these data. Among biological sciences, bioinformatics is a specific branch that deals with managing complexities in the biological information. However, the bioinformatics is in no way restricted to the compilation of large databases or elaboration of sophisticated software. The methods of bioinformatics can greatly assist the generation of productive hypotheses that allow subsequent experimental testing followed by confirmation or disapproval. The main idea behind the present volume is not worrying about the steadily growing amounts of biomedical information or about the relative quality of it. This volume, as well as the entire book series, is based on the purpose-oriented attitude: how to make a good use of this information in particular research projects.
 

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Contents

Substantiated Negative Reports
160
Analyses Of Data Consistency And Implications For Postgenomic Studies
162
Chapter Summary
163
The Functional Genomics Quest
169
On functional Genomics And systems Biology
170
Aiming At Complex Diseases
174
The Scleroderma Example
176
The Case Of Scleroderma Genescape
181

Approaching CVD Genetics
52
CVD Genetics And Bioinformatics
56
The Case Of A Genescape For CVD
59
An Ultrabrief Overview Of The CVD Genetics
60
Chapter Summary
64
Biomedical Studies And The Studies Of The Studies
69
Search For And Retrieval Of Studies
72
Assessment Of Biomedical Studies
76
The Use Of Hierarchies
77
Questionnaires
78
Appraisal Of Observational Studies
80
The Study Cohorts
83
Statistical Aspects
86
A Forgery?
89
Analyzing A Cohort
91
The Case Of IHD200
93
Chapter Summary
101
medSNP A Middle Ground Between Physiology Genetics And Medicine
105
A Database For Clinical Applications In Genomic Medicine
108
Making The Database
111
Selecting The Studies And The Polymorphisms
113
A Brief Look
122
Chapter Summary
125
Genetic Associations Analyses Of The Data Consistency
127
Metaanalysis
128
Orthoanalyses?
136
Consistency Across The Levels Of Function
138
Quantitative Analyses Of Biochemical Variables
145
Dosedependent Effects
149
Multivariate Vs Univariate
150
Qualitative Analyses Of Heterogeneous Clinical Studies
152
Taking A Look At Failures
155
A2M Insdel And The Risk Of Alzheimer Disease
157
CVD
183
Transcriptomics
185
Proteomics
188
The Case of Estrogens And Venous Thrombosis
192
An Extended Discussion
194
Suggestions For Functional Genomics Studies
201
Chapter Summary
202
References
203
Metabolic Pathways And Molecular Cascades
207
Molecular Cascades Metabolic Pathways And Metabolic Contexts
209
The Case Of A Metabolic Context Reconstruction MTHFR
212
Metabolic Context Analysis And Molecular Mechanisms Of Human Disease
214
Mathematical Modeling Of Metabolic Pathways And Molecular Cascades
220
Network Approaches To Molecular Cascades
227
An Inquiry
233
Some Perspectives
237
Where Can We Go?
240
Chapter Summary
241
Metabolome Analyses And Drug Design
245
A Review
246
A Few Pathway Databases
248
The Current Situation
251
Postgenomic Studies
252
The Case Of Malaria Drugs And In Silico Metabolomics
255
Involving Bioinformatics
257
Chapter Summary
260
References
261
Conclusion
263
References
266
The Brief Descriptions of the Genes
269
Index
283
Copyright

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