What determines the evolutionary trajectories of wild plant species? Approaches to the study of quantitative fitness-related traits.
Sign Up to like & getrecommendations! Published in 2022 at "American journal of botany"
DOI: 10.1002/ajb2.16097
Abstract: Wild plant species provide excellent examples of qualitative traits that evolve in response to environmental challenges (e.g., flower color, heavy metal tolerance, cyanogenesis, and male sterility). In addition to such discrete characters, a dazzling array… read more here.
Keywords: evolutionary trajectories; wild plant; botany; plant species ... See more keywords
The flashfm approach for fine-mapping multiple quantitative traits.
Sign Up to like & getrecommendations! Published in 2021 at "Nature communications"
DOI: 10.1038/s41467-021-26364-y
Abstract: Joint fine-mapping that leverages information between quantitative traits could improve accuracy and resolution over single-trait fine-mapping. Using summary statistics, flashfm (flexible and shared information fine-mapping) fine-maps signals for multiple traits, allowing for missing trait measurements… read more here.
Keywords: causal variants; mapping; single trait; fine mapping ... See more keywords
Phenotypic diversity in qualitative and quantitative traits for selection of high yield potential field pea genotypes
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-69448-7
Abstract: Field pea (Pisum sativum L.) needs improvement to increase productivity due to its high price and demand. However, the incidence of powdery mildew (PM) disease limits its production. This study aimed to analyze the diversity… read more here.
Keywords: field; quantitative traits; resistant genotypes; diversity ... See more keywords
Genetic Diversity among Kenaf Mutants as Revealed by Qualitative and Quantitative Traits
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Natural Fibers"
DOI: 10.1080/15440478.2020.1856268
Abstract: Understanding the genetic variability using different qualitative and quantitative traits plays a significant role in kenaf breeding program. To achieve this objective, a study was conducted on yie... read more here.
Keywords: genetic diversity; diversity among; kenaf mutants; qualitative quantitative ... See more keywords
A Replication Study Identified Seven SNPs Associated with Quantitative Traits of Type 2 Diabetes Among Chinese Population (P18-079-19).
Sign Up to like & getrecommendations! Published in 2019 at "Current developments in nutrition"
DOI: 10.1093/cdn/nzz039.p18-079-19
Abstract: Objectives To explore genetic variants for quantitative traits of type 2 diabetes (T2D) such as insulin resistance and insulin release among Chinese adults. Methods A total of 2216 subjects were selected from cross-sectional 2010-2012 China… read more here.
Keywords: quantitative traits; insulin; type diabetes; traits type ... See more keywords
Statistically efficient association analysis of quantitative traits with haplotypes and untyped SNPs in family studies
Sign Up to like & getrecommendations! Published in 2020 at "BMC Genetics"
DOI: 10.1186/s12863-020-00902-x
Abstract: Background Associations between haplotypes and quantitative traits provide valuable information about the genetic basis of complex human diseases. Haplotypes also provide an effective way to deal with untyped SNPs. Two major challenges arise in haplotype-based… read more here.
Keywords: haplotypes untyped; traits haplotypes; family; untyped snps ... See more keywords
Improving genetic variant identification for quantitative traits using ensemble learning-based approaches
Sign Up to like & getrecommendations! Published in 2025 at "BMC Genomics"
DOI: 10.1186/s12864-025-11443-x
Abstract: Genome-wide association studies (GWAS) are rapidly advancing due to the improved resolution and completeness provided by Telomere-to-Telomere (T2T) and pangenome assemblies. While recent advancements in GWAS methods have primarily focused on identifying genetic variants associated… read more here.
Keywords: ensemble learning; quantitative traits; variant identification; improving genetic ... See more keywords
Phenotypic characterization and principal component analyses of indigenous chicken breeds in Indonesia
Sign Up to like & getrecommendations! Published in 2021 at "Veterinary World"
DOI: 10.14202/vetworld.2021.1665-1676
Abstract: Background and Aim: Understanding the phenotypic characteristics of indigenous livestock breeds is essential for their utilization and conservation. This study aimed to characterize indigenous chicken breeds in Indonesia based on phenotypic traits. Materials and Methods:… read more here.
Keywords: indigenous chicken; principal component; chicken breeds; breeds indonesia ... See more keywords
Signatures of natural selection in morphological quantitative traits in Argentinean populations of Senegalia gilliesii (Fabaceae).
Sign Up to like & getrecommendations! Published in 2021 at "Anais da Academia Brasileira de Ciencias"
DOI: 10.1590/0001-3765202120201673
Abstract: In order to elucidate the role of evolutionary forces in shaping the variation of quantitative traits in Senegalia gilliesii we evaluate seven phenotypic traits in three Argentinean populations, two of them sharing environmental and vegetation… read more here.
Keywords: argentinean populations; selection; phenotypic traits; senegalia gilliesii ... See more keywords
Investigation of heteroscedasticity in polygenic risk scores across 15 quantitative traits
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2023.1150889
Abstract: The polygenic risk score (PRS) could be used to stratify individuals with high risk of diseases and predict complex trait of individual in a population. Previous studies developed a PRS-based prediction model using linear regression… read more here.
Keywords: polygenic risk; heteroscedasticity; prs; prediction ... See more keywords
Benchmarking of feed-forward neural network models for genomic prediction of quantitative traits in pigs
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2025.1618891
Abstract: Artificial neural networks are machine learning models that have been applied to various genomic problems, with the ability to learn non-linear relationships and model high-dimensional data. These advanced modeling capabilities make them promising candidates for… read more here.
Keywords: ffnn models; quantitative traits; genomic prediction; feed forward ... See more keywords