CollapsABEL: An R library for detecting compound heterozygote alleles in genome-wide association studies

BMC Bioinformatics

Volumn 17, Issue 1, 2016, Pages

  Zhong, Kaiyin ^a   Karssen, Lennart C ^b   Kayser, Manfred ^a   Liu, Fan ^a,c  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b PolyOmica   (Netherlands)

^c Chinese Academy of Sciences and China National Center for Bioinformation   (China)

Author keywords

Compound heterozygosity; Genome wide association study; Missing heritability; Next generation sequencing

Indexed keywords

ASSOCIATION REACTIONS; C++ (PROGRAMMING LANGUAGE); COMPUTATIONAL EFFICIENCY; DNA SEQUENCES;

COMPUTATIONALLY EFFICIENT; GENOME-WIDE ASSOCIATION STUDIES; HETEROZYGOSITY; LARGE SCALE SIMULATIONS; MISSING HERITABILITY; NEXT-GENERATION SEQUENCING; TIME-CONSUMING PROCEDURE; WHOLE GENOME SEQUENCING;

GENES;

ALLELE; BIOLOGY; DNA SEQUENCE; EXOME; GENE LIBRARY; GENETIC ASSOCIATION STUDY; GENETIC VARIATION; GENOTYPING TECHNIQUE; HETEROZYGOTE; HUMAN; MICROARRAY ANALYSIS; MIDDLE AGED; NETHERLANDS; PHENOTYPE; PROSPECTIVE STUDY; SINGLE NUCLEOTIDE POLYMORPHISM; SOFTWARE; STATISTICAL MODEL;

ALLELES; COMPUTATIONAL BIOLOGY; EXOME; GENE LIBRARY; GENETIC ASSOCIATION STUDIES; GENETIC VARIATION; GENOTYPING TECHNIQUES; HETEROZYGOTE; HUMANS; LINEAR MODELS; LOGISTIC MODELS; MICROARRAY ANALYSIS; MIDDLE AGED; NETHERLANDS; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; PROSPECTIVE STUDIES; SEQUENCE ANALYSIS, DNA; SOFTWARE;

EID: 84962885779     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-016-1006-9     Document Type: Article

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