Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes
出版年份 2012 全文链接
标题
Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes
作者
关键词
Exome sequencing, Genetic epidemiology, Genetics, Lipids, Next-generation sequencing, Obesity, Type 2 diabetes
出版物
DIABETOLOGIA
Volume 56, Issue 2, Pages 298-310
出版商
Springer Nature
发表日期
2012-11-18
DOI
10.1007/s00125-012-2756-1
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- De novo mutations revealed by whole-exome sequencing are strongly associated with autism
- (2012) Stephan J. Sanders et al. NATURE
- Extremely low-coverage sequencing and imputation increases power for genome-wide association studies
- (2012) Bogdan Pasaniuc et al. NATURE GENETICS
- Estimation of allele frequency and association mapping using next-generation sequencing data
- (2011) Su Kim et al. BMC BIOINFORMATICS
- Meta-Analysis of Genome-Wide Association Studies in >80 000 Subjects Identifies Multiple Loci for C-Reactive Protein Levels
- (2011) Abbas Dehghan et al. CIRCULATION
- Specific lipid recognition is a general feature of CD300 and TREM molecules
- (2011) John P. Cannon et al. IMMUNOGENETICS
- Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
- (2011) Georg B. Ehret et al. NATURE
- A rare variant in MYH6 is associated with high risk of sick sinus syndrome
- (2011) Hilma Holm et al. NATURE GENETICS
- Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci
- (2011) Jaspal S Kooner et al. NATURE GENETICS
- Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutations
- (2011) Brian J O'Roak et al. NATURE GENETICS
- Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure
- (2011) Louise V Wain et al. NATURE GENETICS
- METAL: fast and efficient meta-analysis of genomewide association scans
- (2010) C. J. Willer et al. BIOINFORMATICS
- Physiologic Characterization of Type 2 Diabetes–Related Loci
- (2010) Niels Grarup et al. Current Diabetes Reports
- Biological, clinical and population relevance of 95 loci for blood lipids
- (2010) Tanya M. Teslovich et al. NATURE
- A map of human genome variation from population-scale sequencing
- (2010) Richard M. Durbin et al. NATURE
- Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution
- (2010) Iris M Heid et al. NATURE GENETICS
- Resequencing of 200 human exomes identifies an excess of low-frequency non-synonymous coding variants
- (2010) Yingrui Li et al. NATURE GENETICS
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
- (2010) Elizabeth K Speliotes et al. NATURE GENETICS
- New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
- (2010) Josée Dupuis et al. NATURE GENETICS
- Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
- (2010) Benjamin F Voight et al. NATURE GENETICS
- Statistical analysis strategies for association studies involving rare variants
- (2010) Vikas Bansal et al. NATURE REVIEWS GENETICS
- SNP detection for massively parallel whole-genome resequencing
- (2009) R. Li et al. GENOME RESEARCH
- Finding the missing heritability of complex diseases
- (2009) Teri A. Manolio et al. NATURE
- Targeted capture and massively parallel sequencing of 12 human exomes
- (2009) Sarah B. Ng et al. NATURE
- Exome sequencing identifies the cause of a mendelian disorder
- (2009) Sarah B Ng et al. NATURE GENETICS
- A HapMap harvest of insights into the genetics of common disease
- (2008) Teri A. Manolio et al. JOURNAL OF CLINICAL INVESTIGATION
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