A Fast and Noise-Resilient Approach to Detect Rare-Variant Associations With Deep Sequencing Data for Complex Disorders

Genetic Epidemiology

Volumn 36, Issue 7, 2012, Pages 675-685

  Cheung, Yee Him ^a   Wang, Gao ^b   Leal, Suzanne M ^b   Wang, Shuang ^a  

^a Columbia University ^*  (United States)

^b BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

Complex disorders; Rare variant analysis; Whole genome sequencing

Indexed keywords

ARTICLE; GENE; GENE FREQUENCY; GENE SEQUENCE; GENETIC ASSOCIATION; GENETIC DISORDER; GENETIC VARIABILITY; HUMAN; PERFORMANCE; SEQUENCE ANALYSIS; SIGMA P METHOD; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; SYSTEMATIC ERROR;

ANGIOPOIETINS; CASE-CONTROL STUDIES; DATA INTERPRETATION, STATISTICAL; GENE FREQUENCY; GENETIC ASSOCIATION STUDIES; GENETIC PREDISPOSITION TO DISEASE; GENETIC VARIATION; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; METABOLISM; SEQUENCE ANALYSIS, DNA; TEXAS; TRIGLYCERIDES;

EID: 84867555327     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21662     Document Type: Article

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