Evolutionary balancing is critical for correctly forecasting disease-associated amino acid variants

Molecular Biology and Evolution

Volumn 30, Issue 6, 2013, Pages 1252-1257

  Liu, Li ^a   Kumar, Sudhir ^a,b,c  

^a ARIZONA STATE UNIVERSITY   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

^c KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

computational prediction; evolutionary medicine; nonsynonymous single nucleotide variant

Indexed keywords

AMINO ACID;

ALLELE; ARTICLE; DATA ANALYSIS SOFTWARE; DIAGNOSTIC VALUE; DISEASE ASSOCIATION; EXOME; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FORECASTING; GENE FREQUENCY; GENE SEQUENCE; GENETIC CONSERVATION; GENETIC VARIABILITY; HUMAN; NONSYNONYMOUS SINGLE NUCLEOTIDE VARIANT; RELIABILITY; SEQUENCE ALIGNMENT; SINGLE NUCLEOTIDE POLYMORPHISM;

COMPUTATIONAL PREDICTION; EVOLUTIONARY MEDICINE; NONSYNONYMOUS SINGLE NUCLEOTIDE VARIANT;

AMINO ACID SUBSTITUTION; AMINO ACIDS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; EVOLUTION, MOLECULAR; GENETIC PREDISPOSITION TO DISEASE; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84877766852     PISSN: 07374038     EISSN: 15371719     Source Type: Journal    
DOI: 10.1093/molbev/mst037     Document Type: Article

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