Adapt-Mix: learning local genetic correlation structure improves summary statistics-based analyses
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Adapt-Mix: learning local genetic correlation structure improves summary statistics-based analyses
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume 31, Issue 12, Pages i181-i189
Publisher
Oxford University Press (OUP)
Online
2015-06-14
DOI
10.1093/bioinformatics/btv230
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Fast and accurate imputation of summary statistics enhances evidence of functional enrichment
- (2014) Bogdan Pasaniuc et al. BIOINFORMATICS
- Identifying Causal Variants at Loci with Multiple Signals of Association
- (2014) F. Hormozdiari et al. GENETICS
- Integrating Functional Data to Prioritize Causal Variants in Statistical Fine-Mapping Studies
- (2014) Gleb Kichaev et al. PLoS Genetics
- Genetic Evidence for Recent Population Mixture in India
- (2013) Priya Moorjani et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Childhood Obesity and Asthma Control in the GALA II and SAGE II Studies
- (2013) Luisa N. Borrell et al. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
- Analysis of Latino populations from GALA and MEC studies reveals genomic loci with biased local ancestry estimation
- (2013) Bogdan Pasaniuc et al. BIOINFORMATICS
- Identifying Personal Genomes by Surname Inference
- (2013) M. Gymrek et al. SCIENCE
- All SNPs Are Not Created Equal: Genome-Wide Association Studies Reveal a Consistent Pattern of Enrichment among Functionally Annotated SNPs
- (2013) Andrew J. Schork et al. PLoS Genetics
- Fast and accurate inference of local ancestry in Latino populations
- (2012) Yael Baran et al. BIOINFORMATICS
- Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
- (2012) Jian Yang et al. NATURE GENETICS
- Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease
- (2011) Heribert Schunkert et al. NATURE GENETICS
- A genome-wide association study in Europeans and South Asians identifies five new loci for coronary artery disease
- (2011) John F Peden et al. NATURE GENETICS
- Fine Mapping of Five Loci Associated with Low-Density Lipoprotein Cholesterol Detects Variants That Double the Explained Heritability
- (2011) Serena Sanna et al. PLoS Genetics
- A Versatile Gene-Based Test for Genome-wide Association Studies
- (2010) Jimmy Z. Liu et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Postassociation cleaning using linkage disequilibrium information
- (2010) Buhm Han et al. GENETIC EPIDEMIOLOGY
- Fine-mapping at three loci known to affect fetal hemoglobin levels explains additional genetic variation
- (2010) Geneviève Galarneau 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
- Linkage Effects and Analysis of Finite Sample Errors in the HapMap
- (2009) Noah Zaitlen et al. HUMAN HEREDITY
- Reconstructing Indian population history
- (2009) David Reich et al. NATURE
- Genome-wide patterns of population structure and admixture in West Africans and African Americans
- (2009) K. Bryc et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Analysis of genomic diversity in Mexican Mestizo populations to develop genomic medicine in Mexico
- (2009) I. Silva-Zolezzi et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies
- (2009) Bryan N. Howie et al. PLoS Genetics
- Geographic Patterns of Genome Admixture in Latin American Mestizos
- (2008) Sijia Wang et al. PLoS Genetics
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now