A simple method for analyzing exome sequencing data shows distinct levels of nonsynonymous variation for human immune and nervous system genes

PLoS ONE

Volumn 7, Issue 6, 2012, Pages

  Freudenberg, Jan ^a   Gregersen, Peter K ^a   Freudenberg Hua, Yun ^a,b  

^a FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH   (United States)

^b Division of Geriatric Psychiatry   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANALYTIC METHOD; ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; DIPLOIDY; EXOME; GENE; GENE FREQUENCY; GENE MUTATION; GENE SEQUENCE; GENETIC CODE; GENETIC DISORDER; GENETIC VARIABILITY; GENOME ANALYSIS; IMMUNE GENE; INHERITANCE; INTERMETHOD COMPARISON; LINEAR REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; MEASUREMENT; NATURAL SELECTION; NERVOUS SYSTEM GENE; POPULATION GENETICS; PREDICTION; PURIFICATION; RDNSV GENE; SAMPLING; SINGLE NUCLEOTIDE VARIANT; STATISTICAL MODEL; BIOLOGICAL MODEL; CODON; GENE EXPRESSION; GENETIC ASSOCIATION; GENETIC SELECTION; GENETICS; HUMAN; IMMUNOLOGY; METABOLISM; METHODOLOGY; MUTATION RATE; SINGLE NUCLEOTIDE POLYMORPHISM;

NERVE PROTEIN;

CODON; EXOME; GENE EXPRESSION; GENE FREQUENCY; GENES; GENETIC ASSOCIATION STUDIES; GENETIC VARIATION; HUMANS; LINEAR MODELS; MODELS, GENETIC; MUTATION RATE; NERVE TISSUE PROTEINS; POLYMORPHISM, SINGLE NUCLEOTIDE; SELECTION, GENETIC;

EID: 84862022063     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0038087     Document Type: Article

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