Longitudinal data analysis for genetic studies in the whole-genome sequencing era

Genetic Epidemiology

Volumn 38, Issue SUPPL.1, 2014, Pages

  Wu, Zheyang ^a   Hu, Yijuan ^b   Melton, Phillip E ^c  

^a Life Science and Bioengineering Center   (United States)

^b EMORY UNIVERSITY   (United States)

^c UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Family studies; Longitudinal data; Rare variants; Repeat measurements; Whole genome sequencing

Indexed keywords

ALGORITHM; ARTICLE; AUTOSOME; BLOOD PRESSURE; DATA ANALYSIS; DIASTOLIC BLOOD PRESSURE; FAMILY; GENE FREQUENCY; GENE LINKAGE DISEQUILIBRIUM; GENE SEQUENCE; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC MARKER; GENETIC VARIABILITY; GENOME; GENOTYPE; HEREDITY; HUMAN; MAXIMUM LIKELIHOOD METHOD; PEDIGREE; PHENOTYPE; SMOKING; WHOLE GENOME SEQUENCING;

FAMILY STUDIES; LONGITUDINAL DATA; RARE VARIANTS; REPEAT MEASUREMENTS; WHOLE-GENOME SEQUENCING;

ALGORITHMS; BLOOD PRESSURE; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; LONGITUDINAL STUDIES; PHENOTYPE; SEQUENCE ANALYSIS, DNA;

EID: 84905676042     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21829     Document Type: Article

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