ArticleG3 (Bethesda, Md.)2018
Linkage Disequilibrium and Evaluation of Genome-Wide Association Mapping Models in Tetraploid Potato.
Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- Article
- Identification and transcriptome analysis of a major locus for eye depth in tetraploid potato Jinshu 16.BMC plant biology · 2026Article
- Genome analyses and breeding of polyploid crops.Nature plants · 2025Review
- The phased pan-genome of tetraploid European potato.Nature · 2025Article
- SpudDB: a database for accessing potato genomic data.Genetics · 2025Article
- Historical data provide new insights into inheritance of traits important for diploid potato breeding.Planta · 2025Article
- Carotenoids in Potato Tubers: A Bright Yellow Future Ahead.Plants (Basel, Switzerland) · 2025Review
- QTL discovery for agronomic and quality traits in diploid potato clones using PotatoMASH amplicon sequencing.G3 (Bethesda, Md.) · 2024Article
- Potato: from functional genomics to genetic improvement.Molecular horticulture · 2024Review
- Genotyping-by-sequencing targets genic regions and improves resolution of genome-wide association studies in autotetraploid potato.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Modern Breeding Strategies and Tools for Durable Late Blight Resistance in Potato.Plants (Basel, Switzerland) · 2024Review
- Genotype-by-environment interactions and local adaptation shape selection in the US National Chip Processing Trial.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Construction of relatedness matrices in autopolyploid populations using low-depth high-throughput sequencing data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genetic Basis of Potato Tuber Defects and Identification of Heat-Tolerant Clones.Plants (Basel, Switzerland) · 2024Article
- A genomic dataset integrating genotyping-by-sequencing, SolCAP array and PCR marker data on tetraploid potato advanced breeding lines.Frontiers in plant science · 2024Article
- Revitalizing agriculture: next-generation genotyping and -omics technologies enabling molecular prediction of resilient traits in the Solanaceae family.Frontiers in plant science · 2024Review
- Genetic architecture of tuber-bound free amino acids in potato and effect of growing environment on the amino acid content.Scientific reports · 2023Article
- Investigating the genetic components of tuber bruising in a breeding population of tetraploid potatoes.BMC plant biology · 2023Article
- Genome-Wide Association Study of Agronomic and Physiological Traits Related to Drought Tolerance in Potato.Plants (Basel, Switzerland) · 2023Article
- Allelic variants of a potatoFood and energy security · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWAS) have become a powerful tool for analyzing complex traits in crop plants. The current study evaluates the efficacy of various GWAS models and methods for elucidating population structure in potato. The presence of significant population structure can lead to detection of spurious marker-trait associations, as well as mask true ones. While appropriate statistical models are needed to detect true marker-trait associations, in most published potato GWAS, a 'one model fits all traits' approach has been adopted. We have examined various GWAS models on a large association panel comprising diverse tetraploid potato cultivars and breeding lines, genotyped with single nucleotide polymorphism (SNP) markers. Phenotypic data were generated for 20 quantitative traits assessed in different environments. Best Linear Unbiased Estimates (BLUEs) for these traits were obtained for use in assessing GWAS models. Goodness of fit of GWAS models, derived using different combinations of kinship and population structure for all traits, was evaluated using Quantile-Quantile (Q-Q) plots and genomic control inflation factors (λ
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