Literature DB >> 35641766

Population Structure and Relatedness for Genome-Wide Association Studies.

Sidiki Malle1.   

Abstract

The estimation of the population structure and genetic relatedness between individuals within a collection of accessions is important in the formation of core collections for the conservation of genetic resources, uncovering the demographic history of the population under study, as well as for association studies. With the recent development of high-throughput genotyping technologies, several algorithms and methods have been developed and implemented in software to estimate the extent of genetic diversity between individuals. In this chapter, our objective is to describe methods to capture population structure and relatedness in a step-by-step fashion. To exemplify the process, two pruned datasets (14K and 243K SNP markers) were used to investigate population structure and relatedness among a soybean GWAS panel using different approaches and methods.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Kinship; Population structure; Principal component analysis; SNP markers

Mesh:

Year:  2022        PMID: 35641766     DOI: 10.1007/978-1-0716-2237-7_12

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


  28 in total

1.  A unified mixed-model method for association mapping that accounts for multiple levels of relatedness.

Authors:  Jianming Yu; Gael Pressoir; William H Briggs; Irie Vroh Bi; Masanori Yamasaki; John F Doebley; Michael D McMullen; Brandon S Gaut; Dahlia M Nielsen; James B Holland; Stephen Kresovich; Edward S Buckler
Journal:  Nat Genet       Date:  2005-12-25       Impact factor: 38.330

2.  Efficient control of population structure in model organism association mapping.

Authors:  Hyun Min Kang; Noah A Zaitlen; Claire M Wade; Andrew Kirby; David Heckerman; Mark J Daly; Eleazar Eskin
Journal:  Genetics       Date:  2008-03       Impact factor: 4.562

3.  Maize association population: a high-resolution platform for quantitative trait locus dissection.

Authors:  Sherry A Flint-Garcia; Anne-Céline Thuillet; Jianming Yu; Gael Pressoir; Susan M Romero; Sharon E Mitchell; John Doebley; Stephen Kresovich; Major M Goodman; Edward S Buckler
Journal:  Plant J       Date:  2005-12       Impact factor: 6.417

4.  Determination of genetic structure of germplasm collections: are traditional hierarchical clustering methods appropriate for molecular marker data?

Authors:  T L Odong; J van Heerwaarden; J Jansen; T J L van Hintum; F A van Eeuwijk
Journal:  Theor Appl Genet       Date:  2011-04-07       Impact factor: 5.699

5.  Molecular characterization of diverse CIMMYT maize inbred lines from eastern and southern Africa using single nucleotide polymorphic markers.

Authors:  Kassa Semagn; Cosmos Magorokosho; Bindiganavile S Vivek; Dan Makumbi; Yoseph Beyene; Stephen Mugo; B M Prasanna; Marilyn L Warburton
Journal:  BMC Genomics       Date:  2012-03-25       Impact factor: 3.969

6.  Population structure and eigenanalysis.

Authors:  Nick Patterson; Alkes L Price; David Reich
Journal:  PLoS Genet       Date:  2006-12       Impact factor: 5.917

7.  Korean soybean core collection: Genotypic and phenotypic diversity population structure and genome-wide association study.

Authors:  Namhee Jeong; Ki-Seung Kim; Seongmun Jeong; Jae-Yoon Kim; Soo-Kwon Park; Ju Seok Lee; Soon-Chun Jeong; Sung-Taeg Kang; Bo-Keun Ha; Dool-Yi Kim; Namshin Kim; Jung-Kyung Moon; Man Soo Choi
Journal:  PLoS One       Date:  2019-10-22       Impact factor: 3.240

8.  Population structure and genetic diversity in a commercial maize breeding program assessed with SSR and SNP markers.

Authors:  Delphine Van Inghelandt; Albrecht E Melchinger; Claude Lebreton; Benjamin Stich
Journal:  Theor Appl Genet       Date:  2010-01-10       Impact factor: 5.699

9.  A comparison of simple sequence repeat and single nucleotide polymorphism marker technologies for the genotypic analysis of maize (Zea mays L.).

Authors:  E S Jones; H Sullivan; D Bhattramakki; J S C Smith
Journal:  Theor Appl Genet       Date:  2007-05-22       Impact factor: 5.574

10.  Comparison of SSR and SNP markers in estimation of genetic diversity and population structure of Indian rice varieties.

Authors:  Nivedita Singh; Debjani Roy Choudhury; Amit Kumar Singh; Sundeep Kumar; Kalyani Srinivasan; R K Tyagi; N K Singh; Rakesh Singh
Journal:  PLoS One       Date:  2013-12-19       Impact factor: 3.240

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