Literature DB >> 19019849

A multivariate test of association.

Manuel A R Ferreira1, Shaun M Purcell.   

Abstract

UNLABELLED: Although genetic association studies often test multiple, related phenotypes, few formal multivariate tests of association are available. We describe a test of association that can be efficiently applied to large population-based designs. AVAILABILITY: A C++ implementation can be obtained from the authors.

Entities:  

Mesh:

Year:  2008        PMID: 19019849     DOI: 10.1093/bioinformatics/btn563

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  123 in total

1.  Human behavioral informatics in genetic studies of neuropsychiatric disease: multivariate profile-based analysis.

Authors:  Cinnamon S Bloss; Kelly M Schiabor; Nicholas J Schork
Journal:  Brain Res Bull       Date:  2010-04-28       Impact factor: 4.077

Review 2.  Unravelling the human genome-phenome relationship using phenome-wide association studies.

Authors:  William S Bush; Matthew T Oetjens; Dana C Crawford
Journal:  Nat Rev Genet       Date:  2016-02-15       Impact factor: 53.242

3.  A Hybrid Bayesian Network/Structural Equation (BN/SEM) Modeling Approach for Detecting Physiological Networks for Obesity-related Genetic Variants.

Authors:  Christine W Duarte; Yann C Klimentidis; Jacqueline J Harris; Michelle Cardel; José R Fernández
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2011

4.  Adaptive testing for multiple traits in a proportional odds model with applications to detect SNP-brain network associations.

Authors:  Junghi Kim; Wei Pan
Journal:  Genet Epidemiol       Date:  2017-02-13       Impact factor: 2.135

5.  Genome-wide association test of multiple continuous traits using imputed SNPs.

Authors:  Baolin Wu; James S Pankow
Journal:  Stat Interface       Date:  2017       Impact factor: 0.582

6.  Sequence variants in three loci influence monocyte counts and erythrocyte volume.

Authors:  Manuel A R Ferreira; Jouke-Jan Hottenga; Nicole M Warrington; Sarah E Medland; Gonneke Willemsen; Robert W Lawrence; Scott Gordon; Eco J C de Geus; Anjali K Henders; Johannes H Smit; Megan J Campbell; Leanne Wallace; David M Evans; Margaret J Wright; Dale R Nyholt; Alan L James; John P Beilby; Brenda W Penninx; Lyle J Palmer; Ian H Frazer; Grant W Montgomery; Nicholas G Martin; Dorret I Boomsma
Journal:  Am J Hum Genet       Date:  2009-10-22       Impact factor: 11.025

7.  PRIMe: a method for characterization and evaluation of pleiotropic regions from multiple genome-wide association studies.

Authors:  Jie Huang; Andrew D Johnson; Christopher J O'Donnell
Journal:  Bioinformatics       Date:  2011-03-12       Impact factor: 6.937

8.  Multivariate association analysis with somatic mutation data.

Authors:  Qianchuan He; Yang Liu; Ulrike Peters; Li Hsu
Journal:  Biometrics       Date:  2017-07-19       Impact factor: 2.571

9.  Joint analysis of multiple phenotypes using a clustering linear combination method based on hierarchical clustering.

Authors:  Xueling Li; Shuanglin Zhang; Qiuying Sha
Journal:  Genet Epidemiol       Date:  2019-09-20       Impact factor: 2.135

10.  An immune response network associated with blood lipid levels.

Authors:  Michael Inouye; Kaisa Silander; Eija Hamalainen; Veikko Salomaa; Kennet Harald; Pekka Jousilahti; Satu Männistö; Johan G Eriksson; Janna Saarela; Samuli Ripatti; Markus Perola; Gert-Jan B van Ommen; Marja-Riitta Taskinen; Aarno Palotie; Emmanouil T Dermitzakis; Leena Peltonen
Journal:  PLoS Genet       Date:  2010-09-09       Impact factor: 5.917

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.