Optimal sequencing strategies for identifying disease-associated singletons
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Optimal sequencing strategies for identifying disease-associated singletons
Authors
Keywords
Gene sequencing, Genomic libraries, Genome sequencing, Epidemiology, Genetics of disease, Sequence analysis, Simulation and modeling, Variant genotypes
Journal
PLoS Genetics
Volume 13, Issue 6, Pages e1006811
Publisher
Public Library of Science (PLoS)
Online
2017-06-23
DOI
10.1371/journal.pgen.1006811
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A global reference for human genetic variation
- (2015) Richard A. Gibbs et al. NATURE
- Rare-Variant Association Analysis: Study Designs and Statistical Tests
- (2014) Seunggeung Lee et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Inactivating Mutations in NPC1L1 and Protection from Coronary Heart Disease
- (2014) NEW ENGLAND JOURNAL OF MEDICINE
- Rare variants in CFI, C3 and C9 are associated with high risk of advanced age-related macular degeneration
- (2013) Johanna M Seddon et al. NATURE GENETICS
- A rare nonsynonymous sequence variant in C3 is associated with high risk of age-related macular degeneration
- (2013) Hannes Helgason et al. NATURE GENETICS
- Identification of a rare coding variant in complement 3 associated with age-related macular degeneration
- (2013) Xiaowei Zhan et al. NATURE GENETICS
- Whole-genome sequence–based analysis of high-density lipoprotein cholesterol
- (2013) Alanna C Morrison et al. NATURE GENETICS
- Heart Disease and Stroke Statistics—2013 Update
- (2012) Alan S. Go et al. CIRCULATION
- Identification of Genetic Susceptibility Loci for Colorectal Tumors in a Genome-Wide Meta-analysis
- (2012) Ulrike Peters et al. GASTROENTEROLOGY
- Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants
- (2012) Wenqing Fu et al. NATURE
- Evolution and Functional Impact of Rare Coding Variation from Deep Sequencing of Human Exomes
- (2012) J. A. Tennessen et al. SCIENCE
- Low-coverage sequencing: Implications for design of complex trait association studies
- (2011) Y. Li et al. GENOME RESEARCH
- A rare penetrant mutation in CFH confers high risk of age-related macular degeneration
- (2011) Soumya Raychaudhuri et al. NATURE GENETICS
- Epidemiology of Type 1 Diabetes
- (2010) David M. Maahs et al. ENDOCRINOLOGY AND METABOLISM CLINICS OF NORTH AMERICA
- SNP detection and genotyping from low-coverage sequencing data on multiple diploid samples
- (2010) S. Q. Le et al. GENOME RESEARCH
- Uncovering the roles of rare variants in common disease through whole-genome sequencing
- (2010) Elizabeth T. Cirulli et al. NATURE REVIEWS GENETICS
- The Sequence Alignment/Map format and SAMtools
- (2009) H. Li et al. BIOINFORMATICS
- Rare Variants of IFIH1, a Gene Implicated in Antiviral Responses, Protect Against Type 1 Diabetes
- (2009) S. Nejentsev et al. SCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now