Literature DB >> 16983374

A tutorial on statistical methods for population association studies.

David J Balding1.   

Abstract

Although genetic association studies have been with us for many years, even for the simplest analyses there is little consensus on the most appropriate statistical procedures. Here I give an overview of statistical approaches to population association studies, including preliminary analyses (Hardy-Weinberg equilibrium testing, inference of phase and missing data, and SNP tagging), and single-SNP and multipoint tests for association. My goal is to outline the key methods with a brief discussion of problems (population structure and multiple testing), avenues for solutions and some ongoing developments.

Entities:  

Mesh:

Year:  2006        PMID: 16983374     DOI: 10.1038/nrg1916

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  419 in total

1.  A robust method for testing association in genome-wide association studies.

Authors:  Zhongxue Chen; Hon Keung Tony Ng
Journal:  Hum Hered       Date:  2011-12-30       Impact factor: 0.444

2.  Mapping rare and common causal alleles for complex human diseases.

Authors:  Soumya Raychaudhuri
Journal:  Cell       Date:  2011-09-30       Impact factor: 41.582

3.  Correction for hidden confounders in the genetic analysis of gene expression.

Authors:  Jennifer Listgarten; Carl Kadie; Eric E Schadt; David Heckerman
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-01       Impact factor: 11.205

4.  New genetic variant that might improve warfarin dose prediction in African Americans.

Authors:  Hedi Schelleman; Colleen M Brensinger; Jinbo Chen; Brian S Finkelman; Mark J Rieder; Stephen E Kimmel
Journal:  Br J Clin Pharmacol       Date:  2010-09       Impact factor: 4.335

5.  Population structure with localized haplotype clusters.

Authors:  Sharon R Browning; Bruce S Weir
Journal:  Genetics       Date:  2010-05-10       Impact factor: 4.562

6.  FastANOVA: an Efficient Algorithm for Genome-Wide Association Study.

Authors:  Xiang Zhang; Fei Zou; Wei Wang
Journal:  KDD       Date:  2008

Review 7.  Familial predisposition and genetic risk factors for lymphoma.

Authors:  James R Cerhan; Susan L Slager
Journal:  Blood       Date:  2015-09-24       Impact factor: 22.113

8.  Exploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach.

Authors:  Michelle Carlsen; Guifang Fu; Shaun Bushman; Christopher Corcoran
Journal:  Genetics       Date:  2015-12-12       Impact factor: 4.562

Review 9.  Common neurodegenerative diseases: dissection by genome-wide association.

Authors:  Vincenzo Bonifati
Journal:  Curr Neurol Neurosci Rep       Date:  2007-09       Impact factor: 5.081

10.  Downstream TRPM4 Polymorphisms Are Associated with Intracranial Hypertension and Statistically Interact with ABCC8 Polymorphisms in a Prospective Cohort of Severe Traumatic Brain Injury.

Authors:  Ruchira M Jha; Shashvat M Desai; Benjamin E Zusman; Theresa A Koleck; Ava M Puccio; David O Okonkwo; Seo-Young Park; Lori A Shutter; Patrick M Kochanek; Yvette P Conley
Journal:  J Neurotrauma       Date:  2019-02-01       Impact factor: 5.269

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.