The mutation significance cutoff: gene-level thresholds for variant predictions
Nat Methods
.
2016 Feb;13(2):109-10.
doi: 10.1038/nmeth.3739.
Authors
Yuval Itan
1
,
Lei Shang
1
,
Bertrand Boisson
1
2
3
,
Michael J Ciancanelli
1
,
Janet G Markle
1
,
Ruben Martinez-Barricarte
1
,
Eric Scott
4
,
Ishaan Shah
1
,
Peter D Stenson
5
,
Joseph Gleeson
4
6
,
David N Cooper
5
,
Lluis Quintana-Murci
7
8
,
Shen-Ying Zhang
1
2
3
,
Laurent Abel
1
2
3
,
Jean-Laurent Casanova
1
2
3
6
9
Affiliations
1
St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, New York, USA.
2
Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Paris, France.
3
Paris Descartes University, Imagine Institute, Paris, France.
4
Neurogenetics Laboratory, Department of Neurosciences, University of California, San Diego, San Diego, California, USA.
5
Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, UK.
6
Howard Hughes Medical Institute, New York, New York, USA.
7
Human Evolutionary Genetics Unit, Institut Pasteur, Paris, France.
8
Centre National de la Recherche Scientifique, URA 3012, Paris, France.
9
Pediatric Immunology-Hematology Unit, Necker Hospital for Sick Children, Paris, France.
PMID:
26820543
PMCID:
PMC4980758
DOI:
10.1038/nmeth.3739
No abstract available
Publication types
Letter
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
MeSH terms
Animals
Genetic Predisposition to Disease
Genetic Variation*
Humans
Nucleic Acid Amplification Techniques / methods*
Grants and funding
UL1 TR000043/TR/NCATS NIH HHS/United States