data for Fig 6 observed vs predicted

Dryad2016-01-01 更新2026-04-13 收录

数量性状遗传

选择响应分析

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Relationship between the predicted and observed response to selection of body size and development time across all genetic lines, as in Figure 6.

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2016-01-01

The roles of genetic drift and natural selection in quantitative trait divergence along an altitudinal gradient in Arabidopsis thaliana

生态遗传学

数量性状遗传

Understanding how natural selection and genetic drift shape biological variation is a central topic in biology, yet our understanding of the agents of natural selection and their target traits is limi

DataONE2020-06-24 更新130

QR GWAS summary statistics for 62 quantitative traits in the UK Biobank

分位数回归全基因组关联分析

数量性状遗传

Quantile regression (QR) GWAS summary statistics from the studies "Genome-wide discovery for biomarkers using quantile regression at biobank scale" (https://doi.org/10.1038/s41467-024-50726-x) and "In

Zenodo2026-04-14 更新80

Rare variants contribute disproportionately to quantitative trait variation in yeast

数量性状遗传

酵母遗传变异

How variants with different frequencies contribute to trait variation is a central question in genetics. We use a unique model system to disentangle the contributions of common and rare variants to qu

NIAID Data Ecosystem70

Additional file 16 of Genome-wide association studies and whole-genome prediction reveal the genetic architecture of KRN in maize

基因组学

数量性状遗传

Additional file 16: Table S13. Comparison of our GWAS results with QTNs detected in previous studies.

DataCite Commons2024-02-06 更新90

Epistasis Is a Major Determinant of the Additive Genetic Variance in Mimulus guttatus

数量性状遗传

上位性分析

The influence of genetic interactions (epistasis) on the genetic variance of quantitative traits is a major unresolved problem relevant to medical, agricultural, and evolutionary genetics. The additiv

NIAID Data Ecosystem80

data for Fig 6 observed vs predicted

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