Correction: Sherloc: a comprehensive refinement of the ACMG–AMP variant classification criteria

Genetics in Medicine
July 25, 2019
Cited by 17Open Access
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Abstract

Correction to: Genetics in Medicine19:2017; https://doi.org/10.1038/gim.2017.37, published online 11 May 2017 There were errors in the author listing such that consortium group of authors was not named individually. The corrected author list is: Sienna Aguilar, MS; Swaroop Aradhya, PhD, FACMG; Daniel Beltran, PhD; Brandon Bunker, PhD; Amy Daly, MS; Anne Deucher, MD; Tali Ekstein, MS; Ali Entezam, PhD; Karl Erhard, PhD; Ed Esplin MD, PhD, FACMG, FACP; Jennifer Fulbright, MS; Amy Fuller, MS; Kristen McDonald Gibson, PhD, FACMG; Tina Hambuch, PhD, FACMG; Rachel Harte, PhD; Christy Hartshorne, MS; Eden Haverfield, PhD, FACMG; Nastaran Heidari, PhD; Michelle Hogue, MS; Daniela Iacoboni, MS; Britt Johnson, PhD, FACMG; Hio Chung Kang, PhD; Rachel Lewis, PhD; Shiloh Martin, PhD; Sarah McCalmon, PhD; Scott Michalski, MS; Cindy Morgan, MS; Laura Murillo, PhD; Piper Nicolosi, PhD; Karen Ouyang, PhD, FACMG; Carolina Pardo, PhD; Rita Quintana, PhD; Marina Rabideau, MS; Darlene Riethmaier, MS; Amanda Stafford, PhD; Jackie Tahiliani, MS; Chris Tan, MS; S. Paige Taylor, PhD; Shu-Huei Wang, PhD; Hannah White, MS; Ian Wilson, PhD, FACMG; Tom Winder, PhD, FACMG; and Michelle K. Zeman, PhD. The original article can be found online at https://doi.org/10.1038/gim.2017.37. Sherloc: a comprehensive refinement of the ACMG–AMP variant classification criteriaGenetics in MedicineVol. 19Issue 10PreviewThe 2015 American College of Medical Genetics and Genomics–Association for Molecular Pathology (ACMG–AMP) guidelines were a major step toward establishing a common framework for variant classification. In practice, however, several aspects of the guidelines lack specificity, are subject to varied interpretations, or fail to capture relevant aspects of clinical molecular genetics. A simple implementation of the guidelines in their current form is insufficient for consistent and comprehensive variant classification. Full-Text PDF Open Access


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