The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
Prenatal diagnosis by chromosomal microarray analysis
Open accessAbstract
Chromosomal microarray analysis (CMA) is performed either by array comparative genomic hybridization (aCGH) or by using a SNP array. In the prenatal setting, CMA is on par with traditional karyotyping for detection of major chromosomal imbalances such as aneuploidy and unbalanced rearrangements. CMA offers additional diagnostic benefits by revealing sub-microscopic imbalances or copy number changes (CNVs) that are too small to be seen on a standard G-banded chromosome preparation. These submicroscopic imbalances are also referred to as microdeletions and microduplications, particularly when they include specific genomic regions that are associated with clinical sequelae. Not all microdeletions/duplications are associated with adverse clinical phenotypes and in many cases, their presence is benign. In other cases, they are associated with a spectrum of clinical phenotypes that may range from benign to severe, while in some situations, the clinical significance may simply be unknown. These scenarios present a challenge for prenatal diagnosis and genetic counseling prior to prenatal CMA greatly facilitates delivery of complex results. In prenatal diagnostic samples with a normal karyotype, chromosomal microarray will diagnose a clinically significant subchromosomal deletion or duplication in approximately 1% of structurally normal pregnancies and 6% with a structural anomaly. Pre-test counseling is also necessary to distinguish the primary differences between the benefits, limitations and diagnostic scope of CMA versus the powerful but limited screening nature of non-invasive prenatal diagnosis using cell-free fetal DNA.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Richards, S., Aziz, N., Bale, S., Bick, D., Das, S., Gastier-Foster, J., Grody, W. W., Hegde, M., Lyon, E., Spector, E., et al. (2015) · Genetics in Medicine · doi:10.1038/gim.2015.30 · Cited by 32,594
Global variation in copy number in the human genome
Redon, R., Ishikawa, S., Fitch, K. R., Feuk, L., Perry, G. H., Andrews, T. D., Fiegler, H., Shapero, M. H., Carson, A. R., Chen, W., et al. (2006) · Nature · doi:10.1038/nature05329 · Cited by 4,288
Detection of large-scale variation in the human genome
Iafrate, A. J., Feuk, L., Rivera, M. N., Listewnik, M. L., Donahoe, P. K., Qi, Y., Scherer, S. W., & Lee, C. (2004) · Nature Genetics · doi:10.1038/ng1416 · Cited by 2,892
Miller, D. T., Adam, M. P., Aradhya, S., Biesecker, L. G., Brothman, A. R., Carter, N. P., Church, D. M., Crolla, J. A., Eichler, E. E., Epstein, C. J., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.04.006 · Cited by 2,882
Large-scale copy number polymorphism in the human genome
Sebat, J., Lakshmi, B., Troge, J., Alexander, J., Young, J., Lundin, P., Månér, S., Massa, H., Walker, M., Chi, M., et al. (2004) · Science · doi:10.1126/science.1098918 · Cited by 2,557
Chromosomal microarray versus karyotyping for prenatal diagnosis
Wapner, R. J., Martin, C. L., Levy, B., Ballif, B. C., Eng, C. M., Zachary, J. M., Savage, M., Platt, L. D., Saltzman, D., Grobman, W. A., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1203382 · Cited by 1,412
Self-citationAssembly of microarrays for genome-wide measurement of DNA copy number
Snijders, A. M., Nowak, N., Segraves, R., Blackwood, S., Brown, N., Conroy, J., Hamilton, G., Hindle, A. K., Huey, B., Kimura, K., et al. (2001) · Nature Genetics · doi:10.1038/ng754 · Cited by 999
Fine-scale structural variation of the human genome
Tuzun, E., Sharp, A. J., Bailey, J. A., Kaul, R., Morrison, V. A., Pertz, L. M., Haugen, E., Hayden, H., Albertson, D., Pinkel, D., et al. (2005) · Nature Genetics · doi:10.1038/ng1562 · Cited by 991
Segmental Duplications and Copy-Number Variation in the Human Genome
Sharp, A. J., Locke, D. P., McGrath, S. D., Cheng, Z., Bailey, J. A., Vallente, R. U., Pertz, L. M., Clark, R. A., Schwartz, S., Segraves, R., et al. (2005) · The American Journal of Human Genetics · doi:10.1086/431652 · Cited by 972
Kearney, H. M., Thorland, E. C., Brown, K. K., Quintero-Rivera, F., & South, S. T. (2011) · Genetics in Medicine · doi:10.1097/gim.0b013e3182217a3a · Cited by 929
Metadata
- Authors
- Levy, B., & Wapner, R.
- Venue
- Fertility and Sterility
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 109
- Issue
- 2
- Pages
- 201-212
- ISSN
- 0015-0282 (ISSN-L)
- OpenAlex
- W2787357572
- Cited by
- 341
- References
- 75
- FWCI
- 29.19
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Prenatal diagnosis by chromosomal microarray analysis. https://app.cochat.ai/papers/10.1016/j.fertnstert.2018.01.005
- The paper
- Levy, B., & Wapner, R. (2018). Prenatal diagnosis by chromosomal microarray analysis. Fertility and Sterility. https://doi.org/10.1016/j.fertnstert.2018.01.005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
