Using this data set we fitted a binomial, non-linear, mixed-effects model (GLMM) with a logistic link function to assess the effects of genic and intergenic regions, chromosome length and distance from the centromere on the probability that a window would contain one or more heterozygous SNP. Note: Raw sequence data has been uploaded to NCBI. The pipeline for all of the analyses in this paper can be found at: https://github.com/Social-Insect-Genomics/JEB.heterozygosity.fitness.pipeline)
Interactions and heterogeneity play a vital role in the miscommunication between genotype and phenot...
Over the past two decades, major technological innovations have transformed the field of genetics al...
A current algebraic analysis on genome-wide heterozygosity estimates suggests that correlations betw...
Using this data set we fitted a binomial, non-linear, mixed-effects model (GLMM) with a logistic lin...
International audienceGenomic regions (or loci) displaying outstanding correlation with some environ...
markdownabstractOne of the goals of statistical genetics is to elucidate the genetic architecture of...
Linear mixed models (LMMs) are widely used in genome-wide association studies (GWASs) to account for...
Abstract Background Segregation distortion is a phenomenon that the observed genotypic frequencies o...
<p>PNMs are defined as derived variants that occur only once among 80 human chomosomes studied. The ...
Introduction Genome-wide homozygosity mapping is a powerful method for locating rare recessive Mende...
<div><p>We established a genomic model of quantitative trait with genomic additive and dominance rel...
Methods for inference and interpretation of evolutionary quantitative genetic parameters, and for pr...
Many biological traits are discretely distributed in phenotype but continuously distributed in genet...
Abstract Single nucleotide polymorphism (SNP)-heritability estimation is an important topic in seve...
As for other complex diseases, linkage analyses of schizophrenia (SZ) have produced evidence for num...
Interactions and heterogeneity play a vital role in the miscommunication between genotype and phenot...
Over the past two decades, major technological innovations have transformed the field of genetics al...
A current algebraic analysis on genome-wide heterozygosity estimates suggests that correlations betw...
Using this data set we fitted a binomial, non-linear, mixed-effects model (GLMM) with a logistic lin...
International audienceGenomic regions (or loci) displaying outstanding correlation with some environ...
markdownabstractOne of the goals of statistical genetics is to elucidate the genetic architecture of...
Linear mixed models (LMMs) are widely used in genome-wide association studies (GWASs) to account for...
Abstract Background Segregation distortion is a phenomenon that the observed genotypic frequencies o...
<p>PNMs are defined as derived variants that occur only once among 80 human chomosomes studied. The ...
Introduction Genome-wide homozygosity mapping is a powerful method for locating rare recessive Mende...
<div><p>We established a genomic model of quantitative trait with genomic additive and dominance rel...
Methods for inference and interpretation of evolutionary quantitative genetic parameters, and for pr...
Many biological traits are discretely distributed in phenotype but continuously distributed in genet...
Abstract Single nucleotide polymorphism (SNP)-heritability estimation is an important topic in seve...
As for other complex diseases, linkage analyses of schizophrenia (SZ) have produced evidence for num...
Interactions and heterogeneity play a vital role in the miscommunication between genotype and phenot...
Over the past two decades, major technological innovations have transformed the field of genetics al...
A current algebraic analysis on genome-wide heterozygosity estimates suggests that correlations betw...