LIM homeobox transcription factor 4 (LHX4) is a LIM homeodomain transcription factor involved in pituitary gland and nervous system development. The aim of this study was to examine the association of the LHX4 polymorphisms with growth traits in beef cattle breed. A total of 7 single nucleotide polymorphyisms (SNPs) have been identified in the coding region and noncoding region of the bovine LHX4 by sequencing pooled DNA samples (Pool-Seq) and PCR-single strand conformation polymorphism (PCR-SSCP) methods. The linkage disequilibrium was assessed in 871 individuals representing four main cattle breeds from China. The SNPs 2-5 and 7-8 were found to be in complete linkage disequilibrium, respectively. The result of haplotype analysis of 13 SNPs showed that 31 haplotypes were found in four Chinese cattle breeds, and 20 genotypes were only found in Nanyang cattle. The statistical analyses indicated that the SNP1-5, and 6 are associated with the body weight at 18, and 6 months of age in Nanyang cattle population (P<0.05), but no significant associations between their twenty combined genotypes. Our results provide evidence that some polymorphisms in LHX4 are associated with growth traits at certain ages, and may be used as candidates for marker-assisted selection and management in cattle.
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http://dx.doi.org/10.1016/j.gene.2013.12.037 | DOI Listing |
Gigascience
January 2025
State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Background: Plumage coloration is a distinctive trait in ducks, and the Liancheng duck, characterized by its white plumage and black beak and webbed feet, serves as an excellent subject for such studies. However, academic comprehension of the genetic mechanisms underlying duck plumage coloration remains limited. To this end, the Liancheng duck genome (GCA_039998735.
View Article and Find Full Text PDFHeredity (Edinb)
January 2025
Department of Evolution, Ecology and Organismal Biology, 2710 Life Science Bldg, University of California, Riverside, CA, 92521, USA.
Female preference exerts selection on male traits. How such preferences affect male traits, how female preferences change and the genetic correlation between male traits and female preference were examined by an experiment in which females were either mated to males they preferred (S lines) or to males chosen at random from the population (R lines). Female preference was predicted to increase the time spent calling by males.
View Article and Find Full Text PDFTheor Appl Genet
January 2025
Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, 310012, China.
In the present study, we identified 22 significant SNPs, eight stable QTLs and 17 potential candidate genes associated with 100-seed weight in soybean. Soybean is an economically important crop that is rich in seed oil and protein. The 100-seed weight (HSW) is a crucial yield contributing trait.
View Article and Find Full Text PDFBioinformatics
January 2025
Department of Biostatistics, City University of Hong Kong, 83 Tat Chee Avenue, Hong Kong, China.
Motivation: Fine-mapping aims to prioritize causal variants underlying complex traits by accounting for the linkage disequilibrium of GWAS risk locus. The expanding resources of functional annotations serve as auxiliary evidence to improve the power of fine-mapping. However, existing fine-mapping methods tend to generate many false positive results when integrating a large number of annotations.
View Article and Find Full Text PDFAm J Hum Genet
January 2025
Division of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MN, USA. Electronic address:
Alzheimer disease (AD) is a complex and progressive neurodegenerative disorder that accounts for the majority of individuals with dementia. Here, we aim to identify causal plasma proteins for AD, shedding light on the etiology of AD. We utilized the latest large-scale plasma proteomic data from the UK Biobank Pharma Proteomics Project (UKB-PPP) and AD genome-wide association study (GWAS) summary data from the International Genomics of Alzheimer's Project (IGAP).
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