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Cited by 781

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

The ExAC browser: displaying reference data information from over 60 000 exomes

Open access
Karczewski, Konrad J., Weisburd, Ben, Thomas, Brett, Solomonson, Matthew, Ruderfer, Douglas M., Kavanagh, David, Hamamsy, Tymor, Lek, Monkol, Samocha, Kaitlin E., Cummings, Beryl B., Birnbaum, Daniel, The Exome Aggregation Consortium, Daly, Mark J., MacArthur, Daniel G.·2017·Nucleic Acids Research

Published version of a preprint

Abstract

Worldwide, hundreds of thousands of humans have had their genomes or exomes sequenced, and access to the resulting data sets can provide valuable information for variant interpretation and understanding gene function. Here, we present a lightweight, flexible browser framework to display large population datasets of genetic variation. We demonstrate its use for exome sequence data from 60 706 individuals in the Exome Aggregation Consortium (ExAC). The ExAC browser provides gene- and transcript-centric displays of variation, a critical view for clinical applications. Additionally, we provide a variant display, which includes population frequency and functional annotation data as well as short read support for the called variant. This browser is open-source, freely available at http://exac.broadinstitute.org, and has already been used extensively by clinical laboratories worldwide.

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Crossref · 10.1093/nar/gkw971

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Show all 9 references

Research works printed but not linked: 8

  1. 10.1101/gr.229102. Article published online before print in May 2002 · DOI · Paper page
  2. 10.1002/humu.22901 · DOI · Paper page
  3. Song W. Gardner S.A. Hovhannisyan H. Natalizio A. Weymouth K.S. Chen W. Thibodeau I. Bogdanova E. Letovsky S. Willis A. . Exploring the landscape of pathogenic genetic variation in the ExAC population database: insights of relevance to variant classification. Genet Med. 2015. doi:10.1038/gim.2015.180. · DOI
  4. 10.1093/bioinformatics/btq330 · DOI · Paper page
  5. 10.1002/humu.21517 · DOI · Paper page
  6. 10.1002/humu.22376 · DOI · Paper page
  7. 10.1016/j.ajhg.2012.08.005 · DOI · Paper page
  8. Ruderfer D.M. Hamamsy T. Lek M. Karczewski K.J. Kavanagh D. Samocha K.E. Consortium E.A. Daly M.J. MacArthur D.G. Fromer M. . Patterns of genic intolerance of rare copy number variation in 59, 898 human exomes. Nat. Genet. 2016. doi:10.1038/ng.3638. · DOI · Paper page

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Metadata

Authors
Karczewski, K. J., Weisburd, B., Thomas, B., Solomonson, M., Ruderfer, D. M., Kavanagh, D., Hamamsy, T., Lek, M., Samocha, K. E., Cummings, B. B., Birnbaum, D., The Exome Aggregation Consortium, Daly, M. J., & MacArthur, D. G.
Venue
Nucleic Acids Research
Published
2016-11-28
Volume
45
Issue
D1
Pages
D840-D845
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2557981253
Cited by
781
References
9
FWCI
43.05
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The ExAC browser: displaying reference data information from over 60 000 exomes. https://app.cochat.ai/papers/10.1093/nar/gkw971
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Karczewski, K. J., Weisburd, B., Thomas, B., Solomonson, M., Ruderfer, D. M., Kavanagh, D., Hamamsy, T., Lek, M., Samocha, K. E., Cummings, B. B., Birnbaum, D., The Exome Aggregation Consortium, Daly, M. J., & MacArthur, D. G. (2017). The ExAC browser: displaying reference data information from over 60 000 exomes. Nucleic Acids Research. https://doi.org/10.1093/nar/gkw971

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