Focus on Genetic Screening Research

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Nova Publishers, 2006 - 149 páginas
Gene tests (also called DNA-based tests), the newest and most sophisticated of the techniques used to test for genetic disorders, involve direct examination of the DNA molecule itself. Other genetic tests include biochemical tests for such gene products as enzymes and other proteins and for microscopic examination of stained or fluorescent chromosomes. Genetic tests are used for several reasons, including: Carrier screening, which involves identifying unaffected individuals who carry one copy of a gene for a disease that requires two copies for the disease to be expressed; Preimplantation genetic diagnosis prenatal diagnostic testing new-born screening; Presymptomatic testing for predicting adult-onset disorders such as Huntington's disease; Presymptomatic testing for estimating the risk of developing adult-onset cancers and Alzheimer's disease; and Confirmational diagnosis of a symptomatic individual forensic/identity testing. In gene tests, scientists scan a patient's DNA sample for mutated sequences. A DNA sample can be obtained from any tissue, including blood. probes, whose sequences are complementary to the mutated sequences. These probes will seek their complement among the three billion base pairs of an individual's genome. If the mutated sequence is present in the patient's genome, the probe will bind to it and flag the mutation. Another type of DNA testing involves comparing the sequence of DNA bases in a patient's gene to a normal version of the gene. This book gathers important research in this field.
 

Índice

Screening for Cystic Fibrosis Mutations in Southern European Countries Methods for Molecular Diagnosis Prenatal Diagnosis and Carrier Identificati...
1
Anxiety of Pregnant Women after Prenatal Amniocentesis and Genetic Testing
27
Mendelian Disorders among Jews and Population Screening for Reproductive Purposes
57
Polymorphisms of Human Platelet Receptor Genes Clinical Relevance and Diagnostic Approaches
73
New Approach for Important Factor Selection from High Dimensional Bioinformatics Data
95
Application of Microsatellite Marker Analysis
121
Index
141
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