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Optimum designs for next-generation sequencing to discover rare variants for common complex disease
Gang Shi,
D. C. Rao
Institute for Informatics, Data Science and Biostatistics (I2DB)
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Institute of Clinical and Translational Sciences (ICTS)
Institute for Public Health
DBBS - Human and Statistical Genetics
DBBS - Biomedical Informatics and Data Science
Research output
:
Contribution to journal
›
Article
›
peer-review
32
Scopus citations
Overview
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Keyphrases
Next-generation Sequencing
100%
Rare Variants
100%
Common Complex Disease
100%
Optimum Design
100%
Extreme Phenotypes
60%
Functional Variants
60%
Affected Family Members
40%
Recent Advances
20%
Large Families
20%
Next-generation Sequencing Technology
20%
Genetic Effects
20%
Sequencing Studies
20%
Affected Siblings
20%
Sampling Strategy
20%
Small Families
20%
Limited Power
20%
Families with multiples
20%
High Enrichment
20%
Effective Sampling
20%
Combined Strategy
20%
Biochemistry, Genetics and Molecular Biology
Next Generation Sequencing
100%
Gene Linkage
100%
Rare Variant
100%
Genetic Determinism
16%
Immunology and Microbiology
Next Generation Sequencing
100%
Heredity
50%