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Literature DB >> 23756892

Using PLINK for Genome-Wide Association Studies (GWAS) and data analysis.

Miguel E Rentería¹, Adrian Cortes, Sarah E Medland.

Abstract

Within this chapter we introduce the basic PLINK functions for reading in data, applying quality control, and running association analyses. Three worked examples are provided to illustrate: data management and assessment of population substructure, association analysis of a quantitative trait, and qualitative or case-control association analyses.

Mesh：

Year: 2013 PMID： 23756892 DOI： 10.1007/978-1-62703-447-0_8

Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745

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Cited

19 in total

1. Bivariate Genome-Wide Association Study Implicates ATP6V1G1 as a Novel Pleiotropic Locus Underlying Osteoporosis and Age at Menarche.

Authors: Li-Jun Tan; Zhuo-Er Wang; Ke-Hao Wu; Xiang-Ding Chen; Hu Zhu; Shan Lu; Qing Tian; Xiao-Gang Liu; Christopher J Papasian; Hong-Wen Deng
Journal: J Clin Endocrinol Metab Date: 2015-08-27 Impact factor: 5.958

2. NASP: an accurate, rapid method for the identification of SNPs in WGS datasets that supports flexible input and output formats.

Authors: Jason W Sahl; Darrin Lemmer; Jason Travis; James M Schupp; John D Gillece; Maliha Aziz; Elizabeth M Driebe; Kevin P Drees; Nathan D Hicks; Charles Hall Davis Williamson; Crystal M Hepp; David Earl Smith; Chandler Roe; David M Engelthaler; David M Wagner; Paul Keim
Journal: Microb Genom Date: 2016-08-25

3. Retinal Structure in Pre-Clinical Age-Related Macular Degeneration.

Authors: S Nusinowitz; Y Wang; P Kim; S Habib; R Baron; Y Conley; M Gorin
Journal: Curr Eye Res Date: 2017-11-14 Impact factor: 2.424

4. Purinergic P2X7 receptor functional genetic polymorphisms are associated with the susceptibility to osteoporosis in Chinese postmenopausal women.

Authors: Hong Xu; Chengxin Gong; Luling He; Shenqiang Rao; Xingzi Liu; Yijun Nie; Changle Liu; Tao Li; Lu Ding; Yunming Tu; Yuping Yang; Fangfang Hu; Yongfang Fan; Hui Wang; Shuo Wang; Chaopeng Xiong; Peipei Zhong; Lan Tang; Shangdong Liang
Journal: Purinergic Signal Date: 2017-05-11 Impact factor: 3.765

5. Genetic study of Hormad1 and Hormad2 with non-obstructive azoospermia patients in the male Chinese population.

Authors: Bing Song; Xiaojin He; Weidong Du; Yan Zhang; Jian Ruan; Fusheng Zhou; Xian-bo Zuo; Huan Wu; Xing Zha; Shuhua Liu; Xu-shi Xie; Lei Ye; Zhaolian Wei; Ping Zhou; Yun-xia Cao
Journal: J Assist Reprod Genet Date: 2014-05-07 Impact factor: 3.412

6. Genetic interaction of purinergic P2X7 receptor and ER-α polymorphisms in susceptibility to osteoporosis in Chinese postmenopausal women.

Authors: Hui Wang; Chengxin Gong; Xingzi Liu; Shenqiang Rao; Tao Li; Luling He; Yijun Nie; Shuo Wang; Peipei Zhong; Yansong Xue; Jihong Wang; Jiani Zhao; Yuru Zhou; Lu Ding; Yunming Tu; Yuping Yang; Chaopeng Xiong; Shangdong Liang; Hong Xu
Journal: J Bone Miner Metab Date: 2017-09-07 Impact factor: 2.626

Using PLINK for Genome-Wide Association Studies (GWAS) and data analysis.

1. Bivariate Genome-Wide Association Study Implicates ATP6V1G1 as a Novel Pleiotropic Locus Underlying Osteoporosis and Age at Menarche.

2. NASP: an accurate, rapid method for the identification of SNPs in WGS datasets that supports flexible input and output formats.

3. Retinal Structure in Pre-Clinical Age-Related Macular Degeneration.

4. Purinergic P2X7 receptor functional genetic polymorphisms are associated with the susceptibility to osteoporosis in Chinese postmenopausal women.

5. Genetic study of Hormad1 and Hormad2 with non-obstructive azoospermia patients in the male Chinese population.

6. Genetic interaction of purinergic P2X7 receptor and ER-α polymorphisms in susceptibility to osteoporosis in Chinese postmenopausal women.

7. Endophenotypes for Age-Related Macular Degeneration: Extending Our Reach into the Preclinical Stages of Disease.

8. Genome-wide association mapping and genomic prediction for CBSD resistance in Manihot esculenta.

9. A Genome-Wide Association Study and Complex Network Identify Four Core Hub Genes in Bipolar Disorder.

10. SeqFeatR for the Discovery of Feature-Sequence Associations.