Literature DB >> 31429121

Effect of population stratification on SNP-by-environment interaction.

Jaehoon An1, Sungho Won1,2,3,4, Sharon M Lutz5, Julian Hecker4,6, Christoph Lange4,6.   

Abstract

Proportions of false-positive rates in genome-wide association analysis are affected by population stratification, and if it is not correctly adjusted, the statistical analysis can produce the large false-negative finding. Therefore various approaches have been proposed to adjust such problems in genome-wide association studies. However, in spite of its importance, a few studies have been conducted in genome-wide single nucleotide polymorphism (SNP)-by-environment interaction studies. In this report, we illustrate in which scenarios can lead to the false-positive rates in association mapping and approach to maintaining the overall type-1 error rate.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  SNP-by-environment interaction; genetic association; population stratification

Mesh:

Year:  2019        PMID: 31429121      PMCID: PMC6829023          DOI: 10.1002/gepi.22250

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


  20 in total

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Authors:  J K Pritchard; N A Rosenberg
Journal:  Am J Hum Genet       Date:  1999-07       Impact factor: 11.025

Review 2.  Ethnic differences in cardiovascular disease.

Authors:  Nish Chaturvedi
Journal:  Heart       Date:  2003-06       Impact factor: 5.994

3.  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

4.  Race and gender differences in the effects of smoking on lung function.

Authors:  W M Vollmer; P L Enright; K L Pedula; F Speizer; L H Kuller; J Kiley; G G Weinmann
Journal:  Chest       Date:  2000-03       Impact factor: 9.410

5.  Racial and gender differences in susceptibility to tobacco smoke among patients with chronic obstructive pulmonary disease.

Authors:  Mark T Dransfield; Jennifer J Davis; Lynn B Gerald; William C Bailey
Journal:  Respir Med       Date:  2005-10-19       Impact factor: 3.415

6.  Bias in parameter estimates due to omitting gene-environment interaction terms in case-control studies.

Authors:  Iryna Lobach
Journal:  Genet Epidemiol       Date:  2018-10-09       Impact factor: 2.135

7.  Identification of genetic outliers due to sub-structure and cryptic relationships.

Authors:  Daniel Schlauch; Heide Fier; Christoph Lange
Journal:  Bioinformatics       Date:  2017-07-01       Impact factor: 6.937

8.  Genome-wide assessment of gene-by-smoking interactions in COPD.

Authors:  Boram Park; So-My Koo; Jaehoon An; MoonGyu Lee; Hae Yeon Kang; Dandi Qiao; Michael H Cho; Joohon Sung; Edwin K Silverman; Hyeon-Jong Yang; Sungho Won
Journal:  Sci Rep       Date:  2018-06-18       Impact factor: 4.379

9.  ONETOOL for the analysis of family-based big data.

Authors:  Yeunjoo E Song; Sungyoung Lee; Kyungtaek Park; Robert C Elston; Hyeon-Jong Yang; Sungho Won
Journal:  Bioinformatics       Date:  2018-08-15       Impact factor: 6.937

10.  A Cautionary Note on the Effects of Population Stratification Under an Extreme Phenotype Sampling Design.

Authors:  Michela Panarella; Kelly M Burkett
Journal:  Front Genet       Date:  2019-05-03       Impact factor: 4.599

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  2 in total

1.  The prognoses and postoperative outcomes of patients with both colorectal cancer and liver cirrhosis based on a nationwide cohort in Korea.

Authors:  Nari Shin; Eon Chul Han; Sungho Won; Seung-Bum Ryoo; Eun Kyung Choe; Byung Kwan Park; Kyu Joo Park
Journal:  Ann Surg Treat Res       Date:  2020-07-31       Impact factor: 1.859

2.  A Genome-Wide Association Study Identifies Quantitative Trait Loci Affecting Hematological Traits in Camelus bactrianus.

Authors:  Fucheng Guo; Liang Ming; Rendalai Si; Li Yi; Jing He; Rimutu Ji
Journal:  Animals (Basel)       Date:  2020-01-07       Impact factor: 2.752

  2 in total

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