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- Andersen, Erica F1
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ACMG Statements and Guidelines
These online statements and guidelines are definitive and may be cited using the digital object identifier (DOI). These recommendations are designed primarily as an educational resource for medical geneticists and other healthcare providers to help them provide quality medical genetics services; they should not be considered inclusive of all proper procedures and tests or exclusive of other procedures and tests that are reasonably directed to obtaining the same results. Please refer to the leading disclaimer in each document for more information.
2 Results
- ACMG Systematic Evidence Review
Systematic evidence-based review: The application of noninvasive prenatal screening using cell-free DNA in general-risk pregnancies
Genetics in MedicineVol. 24Issue 7p1379–1391Published online: May 24, 2022- Nancy C. Rose
- Elizabeth S. Barrie
- Jennifer Malinowski
- Gabrielle P. Jenkins
- Monica R. McClain
- Danielle LaGrave
- and others
Cited in Scopus: 4Noninvasive prenatal screening (NIPS) using cell-free DNA has been assimilated into prenatal care. Prior studies examined clinical validity and technical performance in high-risk populations. This systematic evidence review evaluates NIPS performance in a general-risk population. - ACMG-Technical-StandardsOpen Archive
Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen)
Genetics in MedicineVol. 22Issue 2p245–257Published in issue: February, 2020- Erin Rooney Riggs
- Erica F. Andersen
- Athena M. Cherry
- Sibel Kantarci
- Hutton Kearney
- Ankita Patel
- and others
Cited in Scopus: 471Copy-number analysis to detect disease-causing losses and gains across the genome is recommended for the evaluation of individuals with neurodevelopmental disorders and/or multiple congenital anomalies, as well as for fetuses with ultrasound abnormalities. In the decade that this analysis has been in widespread clinical use, tremendous strides have been made in understanding the effects of copy-number variants (CNVs) in both affected individuals and the general population. However, continued broad implementation of array and next-generation sequencing–based technologies will expand the types of CNVs encountered in the clinical setting, as well as our understanding of their impact on human health.