title: The promise and peril of genomic screening in the general population.
abstract: Utilization of sequencing to screen the general population for preventable monogenic conditions is receiving substantial attention because of its potential to decrease morbidity and mortality. However, the selection of which variants to return is a serious implementation challenge. Procedures must be investigated to ensure optimal test characteristics and avoidance of harm from false-positive test results.
  
  
  
  We scanned exome sequences from 478 well-phenotyped individuals for potentially pathogenic variants in 17 genes representing 11 conditions that are among the most medically actionable Mendelian disorders in adults. We developed five variant selection algorithms with increasing sensitivity and measured their specificity in these 17 genes.
  
  
  
  Variant selection algorithms with increasing sensitivity exhibited decreased specificity, and performance was highly dependent on the genes analyzed. The most sensitive algorithm ranged from 88.8 to 99.6% specificity among the 17 genes.
  
  
  
  For conditions with very low prevalence, small reductions in specificity greatly increase false positives. This inescapable test characteristic governs the predictive value of genomic sequencing in the general population. To address this issue, test performance must be evaluated systematically for each condition so that the false negatives and false positives can be tailored for optimal outcomes, depending on the downstream clinical consequences.Genet Med 18 6, 593-599.
authors.affiliation: Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
authors.forename: Michael C
authors.initials: MC
authors.lastname: Adams
authors.affiliation: Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
authors.forename: James P
authors.initials: JP
authors.lastname: Evans
authors.affiliation: Department of Social Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
authors.forename: Gail E
authors.identifier: 0000-0002-4968-7064
authors.initials: GE
authors.lastname: Henderson
authors.affiliation: Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
authors.forename: Jonathan S
authors.identifier: 0000-0003-2360-2664
authors.initials: JS
authors.lastname: Berg
mesh_terms: D005189:False Positive Reactions; D030342:Genetic Diseases, Inborn / Q000175:diagnosis* / Q000453:epidemiology / Q000235:genetics*; D005820:Genetic Testing / Q000379:methods*; D005828:Genetics, Population; D023281:Genomics / Q000379:methods; D006801:Humans; D000073359:Exome Sequencing / Q000379:methods*