Using Genetic Prediction from Known Complex Disease Loci to Guide the Design of Next-Generation Sequencing Experiments

PLoS ONE

Volumn 8, Issue 10, 2013, Pages

  Jostins, Luke ^a,b   Levine, Adam P ^c   Barrett, Jeffrey C ^a  

^a WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ALLELE; ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; CROHN DISEASE; GENE FREQUENCY; GENETIC ASSOCIATION; GENETIC RISK; GENOTYPE; HIGH THROUGHPUT SEQUENCING; HUMAN; NEXT GENERATION SEQUENCING; NON INSULIN DEPENDENT DIABETES MELLITUS; PREDICTION; PREVALENCE;

ALGORITHMS; ALLELES; GENE FREQUENCY; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; MODELS, GENETIC; PENETRANCE; PHENOTYPE; QUANTITATIVE TRAIT LOCI; RISK;

EID: 84885704547     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0076328     Document Type: Article

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