Literature DB >> 20127852

Score-based adjustment for confounding by population stratification in genetic association studies.

Andrew Allen, Michael P Epstein, Glen A Satten.   

Abstract

Entities:  

Mesh：

Year:  2010        PMID： 20127852      PMCID： PMC2895686          DOI： 10.1002/gepi.20487

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN： 0741-0395            Impact factor:   2.135


× No keyword cloud information.
  12 in total

Review 1.  Invited commentary: propensity scores.

Authors:  M M Joffe; P R Rosenbaum
Journal:  Am J Epidemiol       Date:  1999-08-15       Impact factor: 4.897

2.  Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study.

Authors:  Jared K Lunceford; Marie Davidian
Journal:  Stat Med       Date:  2004-10-15       Impact factor: 2.373

3.  On the estimation and use of propensity scores in case-control and case-cohort studies.

Authors:  Roger Månsson; Marshall M Joffe; Wenguang Sun; Sean Hennessy
Journal:  Am J Epidemiol       Date:  2007-05-15       Impact factor: 4.897

4.  Stratification by a multivariate confounder score.

Authors:  O S Miettinen
Journal:  Am J Epidemiol       Date:  1976-12       Impact factor: 4.897

5.  Some insights into Miettinen's multivariate confounder score approach to case-control study analysis.

Authors:  M C Pike; J Anderson; N Day
Journal:  J Epidemiol Community Health       Date:  1979-03       Impact factor: 3.710

6.  A method for quantifying differentiation between populations at multi-allelic loci and its implications for investigating identity and paternity.

Authors:  D J Balding; R A Nichols
Journal:  Genetica       Date:  1995       Impact factor: 1.082

7.  A simple and improved correction for population stratification in case-control studies.

Authors:  Michael P Epstein; Andrew S Allen; Glen A Satten
Journal:  Am J Hum Genet       Date:  2007-03-29       Impact factor: 11.025

8.  A novel haplotype-sharing approach for genome-wide case-control association studies implicates the calpastatin gene in Parkinson's disease.

Authors:  Andrew S Allen; Glen A Satten
Journal:  Genet Epidemiol       Date:  2009-12       Impact factor: 2.135

9.  Effect of population stratification on the identification of significant single-nucleotide polymorphisms in genome-wide association studies.

Authors:  Sara M Sarasua; Julianne S Collins; Dhelia M Williamson; Glen A Satten; Andrew S Allen
Journal:  BMC Proc       Date:  2009-12-15

10.  Genome-wide association analysis of rheumatoid arthritis data via haplotype sharing.

Authors:  Andrew S Allen; Glen A Satten
Journal:  BMC Proc       Date:  2009-12-15
View more
  5 in total

1.  A practical approach to adjusting for population stratification in genome-wide association studies: principal components and propensity scores (PCAPS).

Authors:  Huaqing Zhao; Nandita Mitra; Peter A Kanetsky; Katherine L Nathanson; Timothy R Rebbeck
Journal:  Stat Appl Genet Mol Biol       Date:  2018-12-04

2.  A permutation procedure to correct for confounders in case-control studies, including tests of rare variation.

Authors:  Michael P Epstein; Richard Duncan; Yunxuan Jiang; Karen N Conneely; Andrew S Allen; Glen A Satten
Journal:  Am J Hum Genet       Date:  2012-07-19       Impact factor: 11.025

3.  Stratification-score matching improves correction for confounding by population stratification in case-control association studies.

Authors:  Michael P Epstein; Richard Duncan; K Alaine Broadaway; Min He; Andrew S Allen; Glen A Satten
Journal:  Genet Epidemiol       Date:  2012-04       Impact factor: 2.135

4.  Analyzing genetic association studies with an extended propensity score approach.

Authors:  Huaqing Zhao; Timothy R Rebbeck; Nandita Mitra
Journal:  Stat Appl Genet Mol Biol       Date:  2012-10-19

5.  Genome-wide association study identifies RBFOX1 locus influencing brain glucose metabolism.

Authors:  Ling-Li Kong; Dan Miao; Lin Tan; Shu-Lei Liu; Jie-Qiong Li; Xi-Peng Cao; Lan Tan
Journal:  Ann Transl Med       Date:  2018-11
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.