GWAS have identified hundreds of height-associated loci. However, determining causal mechanisms is challenging, especially since height-relevant tissues (e.g. growth plates) are difficult to study. To uncover mechanisms by which height GWAS variants function, we performed epigenetic profiling of murine femoral growth plates. The profiled open chromatin regions recapitulate known chondrocyte and skeletal biology, are enriched at height GWAS loci, particularly near differentially expressed growth plate genes, and enriched for binding motifs of transcription factors with roles in chondrocyte biology. At specific loci, our analyses identified compelling mechanisms for GWAS variants. For example, at , we identified a candidate causal variant (rs9920291) overlapping an open chromatin region. Reporter assays demonstrated that rs9920291 shows allelic regulatory activity, and CRISPR/Cas9 targeting of human chondrocytes demonstrates that the region regulates expression. Thus, integrating biologically relevant epigenetic information (here, from growth plates) with genetic association results can identify biological mechanisms important for human growth.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716665 | PMC |
http://dx.doi.org/10.7554/eLife.29329 | DOI Listing |
Plant Genome
March 2025
College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China.
Machine learning (ML) has garnered significant attention for its potential to enhance the accuracy of genomic predictions (GPs) in various economic crops with the use of complete genomic information. Genome-wide association studies (GWAS) are widely used to pinpoint trait-related causal variant loci in genomes. However, the simultaneous integration of both methods for crop genome prediction necessitates further research.
View Article and Find Full Text PDFGenes (Basel)
November 2024
LLP «Kazakh Research Institute of Animal Husbandry and Fodder Production», 51 Zhandosov Street, Almaty 050071, Kazakhstan.
Background: Saryarka sheep belong to fat-tailed coarse-wool sheep breed. This breed is distinguished by increased meat productivity while being competitive in young lamb production. Live weight and body indices are relevant data for assessing sheep body constitution, which directly affects the breeding characteristics and meat productivity of animals.
View Article and Find Full Text PDFJ Anim Breed Genet
January 2025
Department of Animal Biosciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Swedish Warmblood horses (SWB) are bred for show jumping and/or dressage with young horse test scores as indicator traits. This study aimed to investigate possible candidate genes and regions of importance for evaluated and linearly scored young horse test traits. A single-step genome-wide association study (ssGWAS) was done using the BLUPF90 suite of programs for factors scores from factor analysis of traits assessed at young horse tests together with height at withers.
View Article and Find Full Text PDFBMC Genomics
December 2024
Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China.
Background: Rice, as one of the most important staple crops, its genetic improvement plays a crucial role in agricultural production and food security. Although extensive research has utilized single nucleotide polymorphisms (SNPs) data to explore the genetic basis of important agronomic traits in rice improvement, reports on the role of other types of variations, such as insertions and deletions (INDELs), are still limited.
Results: In this study, we extracted INDELs from resequencing data of 148 rice improved varieties.
Nicotine Tob Res
December 2024
Institute for Behavioral Genetics, University of Colorado, Boulder.
Introduction: Pregnant individuals who smoke face increased health risks because smoking harms both the mother and their developing offspring.
Methods: Using 307 417 Europeans from the UK Biobank, we examined whether exposure to maternal smoking during pregnancy (MSP) interacts with genetic risk to predict offspring birth weight (BW) and smoking behaviors. We investigated interactions between MSP and genetic risk at multiple levels: single variant, gene-level, and polygenic score.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!