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The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Resolution of Disease Phenotypes Resulting from Multilocus Genomic Variation

Open access
Posey, Jennifer E., Harel, Tamar, Liu, Pengfei, Rosenfeld, Jill A., James, Regis A., Coban Akdemir, Zeynep H., Walkiewicz, Magdalena, Bi, Weimin, Xiao, Rui, Ding, Yan, Xia, Fan, Beaudet, Arthur L., Muzny, Donna M., Gibbs, Richard A., Boerwinkle, Eric, Eng, Christine M., Sutton, V. Reid, Shaw, Chad A., Plon, Sharon E., Yang, Yaping, Lupski, James R.·2017·New England Journal of Medicine

Abstract

BACKGROUND: Whole-exome sequencing can provide insight into the relationship between observed clinical phenotypes and underlying genotypes. METHODS: We conducted a retrospective analysis of data from a series of 7374 consecutive unrelated patients who had been referred to a clinical diagnostic laboratory for whole-exome sequencing; our goal was to determine the frequency and clinical characteristics of patients for whom more than one molecular diagnosis was reported. The phenotypic similarity between molecularly diagnosed pairs of diseases was calculated with the use of terms from the Human Phenotype Ontology. RESULTS: ). CONCLUSIONS: In our study, we found multiple molecular diagnoses in 4.9% of cases in which whole-exome sequencing was informative. Our results show that structured clinical ontologies can be used to determine the degree of overlap between two mendelian diseases in the same patient; the diseases can be distinct or overlapping. Distinct disease phenotypes affect different organ systems, whereas overlapping disease phenotypes are more likely to be caused by two genes encoding proteins that interact within the same pathway. (Funded by the National Institutes of Health and the Ting Tsung and Wei Fong Chao Foundation.).

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Metadata

Authors
Posey, J. E., Harel, T., Liu, P., Rosenfeld, J. A., James, R. A., Coban Akdemir, Z. H., Walkiewicz, M., Bi, W., Xiao, R., Ding, Y., Xia, F., Beaudet, A. L., Muzny, D. M., Gibbs, R. A., Boerwinkle, E., Eng, C. M., Sutton, V. R., Shaw, C. A., Plon, S. E., Yang, Y., & Lupski, J. R.
Venue
New England Journal of Medicine
Published
2017-01-05
Volume
376
Issue
1
Pages
21-31
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2560641002
Cited by
769
References
27
FWCI
57.97
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Resolution of Disease Phenotypes Resulting from Multilocus Genomic Variation. https://app.cochat.ai/papers/10.1056/nejmoa1516767
The paper
Posey, J. E., Harel, T., Liu, P., Rosenfeld, J. A., James, R. A., Coban Akdemir, Z. H., Walkiewicz, M., Bi, W., Xiao, R., Ding, Y., Xia, F., Beaudet, A. L., Muzny, D. M., Gibbs, R. A., Boerwinkle, E., Eng, C. M., Sutton, V. R., Shaw, C. A., Plon, S. E., . . . Lupski, J. R. (2017). Resolution of Disease Phenotypes Resulting from Multilocus Genomic Variation. New England Journal of Medicine. https://doi.org/10.1056/nejmoa1516767

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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.