| scholarly article | Q13442814 |
| P356 | DOI | 10.1038/SREP34323 |
| P2888 | exact match | https://scigraph.springernature.com/pub.10.1038/srep34323 |
| P932 | PMC publication ID | 5046106 |
| P698 | PubMed publication ID | 27694844 |
| P50 | author | Xiaoyu Liang | Q57158793 |
| P2093 | author name string | Qiuying Sha | |
| Shuanglin Zhang | |||
| Zhenchuan Wang | |||
| P2860 | cites work | Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function | Q24633262 |
| MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes | Q24635938 | ||
| PLINK: a tool set for whole-genome association and population-based linkage analyses | Q24677407 | ||
| Weakly supervised learning of biomedical information extraction from curated data | Q27319562 | ||
| Random-effects models for longitudinal data | Q28279619 | ||
| Meta-analysis of correlated traits via summary statistics from GWASs with an application in hypertension | Q28385677 | ||
| GATES: a rapid and powerful gene-based association test using extended Simes procedure | Q28741872 | ||
| Risk loci for chronic obstructive pulmonary disease: a genome-wide association study and meta-analysis | Q29416987 | ||
| A new multipoint method for genome-wide association studies by imputation of genotypes | Q29547209 | ||
| Chronic obstructive pulmonary disease: an update on diagnosis and management issues in older adults | Q37598879 | ||
| Maximizing the power of principal-component analysis of correlated phenotypes in genome-wide association studies | Q38205644 | ||
| FaST linear mixed models for genome-wide association studies | Q46661213 | ||
| A gene-based test of association using canonical correlation analysis | Q48012240 | ||
| A multivariate test of association | Q57674844 | ||
| Pleiotropy and principal components of heritability combine to increase power for association analysis | Q58047085 | ||
| A comparison of univariate and multivariate tests for genetic linkage | Q72787398 | ||
| A principal-components approach based on heritability for combining phenotype information | Q74606032 | ||
| Chromosome 4q31 locus in COPD is also associated with lung cancer | Q82674649 | ||
| Genetic association with multiple traits in the presence of population stratification | Q86905588 | ||
| GenABEL: an R library for genome-wide association analysis | Q29614587 | ||
| Genotype imputation | Q29614590 | ||
| Genome-wide association studies identify CHRNA5/3 and HTR4 in the development of airflow obstruction | Q30420166 | ||
| Importance of hedgehog interacting protein and other lung function genes in asthma | Q30426667 | ||
| Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies | Q30486900 | ||
| A ridge penalized principal-components approach based on heritability for high-dimensional data | Q31114105 | ||
| Clustering and principal-components approach based on heritability for mapping multiple gene expressions. | Q33332788 | ||
| A genome-wide association study in chronic obstructive pulmonary disease (COPD): identification of two major susceptibility loci. | Q33419815 | ||
| A genome-wide association study of pulmonary function measures in the Framingham Heart Study | Q33419839 | ||
| ProbABEL package for genome-wide association analysis of imputed data | Q33541240 | ||
| Variants in FAM13A are associated with chronic obstructive pulmonary disease | Q33687879 | ||
| Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD | Q33929376 | ||
| Four SNPs in the CHRNA3/5 alpha-neuronal nicotinic acetylcholine receptor subunit locus are associated with COPD risk based on meta-analyses | Q33933180 | ||
| Association of CHRNA5-A3-B4 SNP rs2036527 with smoking cessation therapy response in African-American smokers | Q33953232 | ||
| Multiple trait analysis of genetic mapping for quantitative trait loci. | Q33965447 | ||
| Genetic epidemiology of COPD (COPDGene) study design | Q34074731 | ||
| MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS. | Q34261514 | ||
| The UK10K project identifies rare variants in health and disease | Q34494047 | ||
| Smoking, longer disease duration and absence of rhinosinusitis are related to fixed airway obstruction in Koreans with severe asthma: findings from the COREA study | Q34499210 | ||
| TATES: efficient multivariate genotype-phenotype analysis for genome-wide association studies | Q34566333 | ||
| Analyze multivariate phenotypes in genetic association studies by combining univariate association tests | Q34953548 | ||
| Chronic obstructive pulmonary disease exacerbations in the COPDGene study: associated radiologic phenotypes | Q35249531 | ||
| Testing genetic association by regressing genotype over multiple phenotypes | Q35252523 | ||
| Abundant pleiotropy in human complex diseases and traits. | Q35542127 | ||
| Nicotinic acetylcholine receptor variants associated with susceptibility to chronic obstructive pulmonary disease: a meta-analysis. | Q35768849 | ||
| A genome-wide association study identifies risk loci for spirometric measures among smokers of European and African ancestry | Q35860362 | ||
| An efficient genome-wide association test for multivariate phenotypes based on the Fisher combination function | Q35884787 | ||
| Identification of FGF7 as a novel susceptibility locus for chronic obstructive pulmonary disease | Q35947849 | ||
| Association of IREB2 Gene rs2568494 Polymorphism with Risk of Chronic Obstructive Pulmonary Disease: A Meta-Analysis. | Q36490727 | ||
| USAT: A Unified Score-Based Association Test for Multiple Phenotype-Genotype Analysis | Q36671949 | ||
| Joint Analysis of Multiple Traits in Rare Variant Association Studies | Q36813570 | ||
| Genome-wide association analysis for multiple continuous secondary phenotypes | Q36817386 | ||
| Power and design considerations for a general class of family-based association tests: quantitative traits | Q37203896 | ||
| A general framework for association tests with multivariate traits in large-scale genomics studies | Q37587870 | ||
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 34323 | |
| P577 | publication date | 2016-10-03 | |
| P1433 | published in | Scientific Reports | Q2261792 |
| P1476 | title | An Adaptive Fisher's Combination Method for Joint Analysis of Multiple Phenotypes in Association Studies | |
| P478 | volume | 6 |
| Q91617572 | A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS |
| Q92524336 | A gene based approach to test genetic association based on an optimally weighted combination of multiple traits |
| Q52313009 | A hierarchical clustering method for dimension reduction in joint analysis of multiple phenotypes. |
| Q47564198 | A novel method to test associations between a weighted combination of phenotypes and genetic variants. |
| Q38896201 | An Analytic Solution to the Computation of Power and Sample Size for Genetic Association Studies under a Pleiotropic Mode of Inheritance |
| Q61805692 | Joint Analysis of Multiple Phenotypes in Association Studies based on Cross-Validation Prediction Error |
| Q89186629 | Joint analysis of multiple phenotypes in association studies using allele-based clustering approach for non-normal distributions |
| Q90199040 | Joint analysis of multiple phenotypes using a clustering linear combination method based on hierarchical clustering |
| Q91303906 | Powerful rare variant association testing in a copula-based joint analysis of multiple phenotypes |
| Q92491602 | Powerful statistical method to detect disease-associated genes using publicly available genome-wide association studies summary data |
| Q90499799 | Testing an optimally weighted combination of common and/or rare variants with multiple traits |
Search more.