Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer’s disease-Reference-Cited by-同舟云学术

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Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer’s disease

Published:2017-05 Issue:S1 Volume:17 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

Kim Dokyoon,Basile Anna O.,Bang Lisa,Horgusluoglu Emrin,Lee Seunggeun,Ritchie Marylyn D.,Saykin Andrew J.,Nho Kwangsik

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1186/s12911-017-0454-0.pdf

Reference47 articles.

1. Metzker ML. Sequencing technologies - the next generation. Nat Rev Genet. 2010;11(1):31–46.

2. Koboldt DC, Steinberg KM, Larson DE, Wilson RK, Mardis ER. The next-generation sequencing revolution and its impact on genomics. Cell. 2013;155(1):27–38.

3. Ng PC, Kirkness EF. Whole genome sequencing. Methods Mol Biol. 2010;628:215–26.

4. Cirulli ET, Goldstein DB. Uncovering the roles of rare variants in common disease through whole-genome sequencing. Nat Rev Genet. 2010;11(6):415–25.

5. Alzheimer’s A. 2015 Alzheimer’s disease facts and figures. Alzheimers Dement. 2015;11(3):332–84.

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