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A suite of automated sequence analyses reduces the number of candidate deleterious variants and reveals a difference between probands and unaffected siblings

Crossref DOI link: https://doi.org/10.1038/s41436-019-0434-0

Published Print: 2019-08

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Gu, Fangning https://orcid.org/0000-0002-2298-9759
Wu, Anchi

Gordon, M. Grace

Vlahos, Lukas

Macnamara, Shane

Burke, Elizabeth

Malicdan, May C.

Adams, David R.

Tifft, Cynthia J.

Toro, Camilo

Gahl, William A.

Markello, Thomas C.
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Text and Data Mining valid from 2019-08-01

Text and Data Mining valid from 2019-08-01

Version of Record valid from 2022-01-19
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This article is maintained by: Elsevier

Article Title: A suite of automated sequence analyses reduces the number of candidate deleterious variants and reveals a difference between probands and unaffected siblings

Journal Title: Genetics in Medicine

CrossRef DOI link to publisher maintained version: https://doi.org/10.1038/s41436-019-0434-0

Content Type: article

Copyright: © 2019, The Author(s), under exclusive licence to the American College of Medical Genetics and Genomics

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