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Genome-wide association studies : from polymorphism to personalized medicine / edited by Krishnarao Appasani. -- Cambridge, United Kingdom : Cambridge University Press, c2016. – (63.8531/G335) |
Contents
List of contributors
Forewords by Stephen W. Scherer and Peter M.
Visscher
Preface
List of abbreviations
Part I. Genome-wide association studies
1. Introduction to genome-wide association studies
and personalized medicine
2. GWAS: a milestone in the road from genotypes to
phenotypes
3. Introduction to statistical methods in
genome-wide association studies
4. GWAS replicability across time and space
Part II. Genome-wide studies in disease biology
5. Genome-wide association studies of body mass
index
6. Identification of myocardial
infarction-susceptible genes and their functional analyses
7. Admixture mapping for disease gene discovery
8. Genome-wide association analysis in
schizophrenia
9. Epigenome-wide association studies in
neurodevelopmental disorders
Part III. Single nucleotide polymorphisms, copy
number variants, haplotypes and eQTLs
10. Finding SNPs that affect micr0RNA regulation in
disease-associated genomic regions
11. From linkage to complex associations: the role
of GABRA2 as a risk factor for alcohol use
12. Copy number variation in monozygous twins
13. Haplotypes of CpG-related SNPs and associations
with DNA methylation patterns
14. eQTL mapping
Part IV. Next-generation sequencing technology and
pharmaco-genomics
15. Next-generation sequencing for rare diseases
16. Next-generation sequencing for complex
disorders
17. Chromosomal breakpoints in breast cancer
co-localize with differentially methylated regions
18. Signaling network analysis of genomic
alterations predicts breast cancer drug targets
19. Pharmacogenetic studies in pediatric acute
myeloid leukemia
20. Pharmaco-genomics of antiretroviral drugs
Part V. Population genetics and personalized
medicine 313
21. Population stratification and its implications:
lessons from genome-wide studies
22. How to solve genetic disease on a population
scale
23. Economics of personalized medicine
Index
