Quality control issues and the identification of rare functional variants with next-generation sequencing data

Genetic Epidemiology

Volumn 35, Issue SUPPL. 1, 2011, Pages

  Hemmelmann, Claudia ^a   Daw, E Warwick ^b   Wilson, Alexander F ^c  

^a UNIVERSITY HOSPITAL SCHLESWIG HOLSTEIN   (Germany)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c NATIONAL HUMAN GENOME RESEARCH INSTITUTE   (United States)

Author keywords

1000 Genomes Project; Association; Collection of rare variants; Family data; Next generation sequencing; Quality control; Regression

Indexed keywords

ACCURACY; ALLELE; ARTICLE; BAYES THEOREM; FAMILY; FUNCTIONAL GENOMICS; GENE; GENE FREQUENCY; GENE REPLICATION; GENE SEQUENCE; GENE TECHNOLOGY; GENETIC ALGORITHM; GENETIC ANALYSIS; GENETIC ANALYSIS WORKSHOP 17; GENETIC ASSOCIATION; GENETIC PREDISPOSITION; GENETIC VARIABILITY; GENOTYPE; HERITABILITY; HUMAN; MONTE CARLO METHOD; NEXT GENERATION SEQUENCING TECHNOLOGY; PEDIGREE; PHENOTYPE; POPULATION STRUCTURE; QUALITY CONTROL; QUANTITATIVE TRAIT LOCUS; REGRESSION ANALYSIS; SHARED GENOMIC SEGMENT; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; WORKSHOP;

ALGORITHMS; EXOME; GENETIC PREDISPOSITION TO DISEASE; GENETIC VARIATION; HUMAN GENOME PROJECT; HUMANS; MOLECULAR EPIDEMIOLOGY; QUALITY CONTROL; REGRESSION ANALYSIS; SEQUENCE ANALYSIS;

EID: 82455219126     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.20645     Document Type: Article

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