We identify the SLC22A3-LPAL2-LPA gene cluster as a strong susceptibility locus for coronary artery disease (CAD) through a genome-wide haplotype association (GWHA) study. This locus was not identified from previous genome-wide association (GWA) studies focused on univariate analyses of SNPs. The proposed approach may have wide utility for analyzing GWA data for other complex traits.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1038/ng.314 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Identification of superior haplotypes and candidate gene for seed size-related traits in soybean ( L.).
Mol Breed
January 2025
Key Laboratory of Soybean Molecular Design Breeding, National Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102 China.
Unlabelled: Seed size is an economically important trait that directly determines the seed yield in soybean. In the current investigation, we used an integrated strategy of linkage mapping, association mapping, haplotype analysis and candidate gene analysis to determine the genetic makeup of four seed size-related traits viz., 100-seed weight (HSW), seed area (SA), seed length (SL), and seed width (SW) in soybean.
View Article and Find Full Text PDFGenome-wide association study reveals the advantaged genes regulating rice grain shape traits in northern China.
PeerJ
December 2024
Rice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Background: Rice, a staple food for over half of the global population, exhibits significant diversity in grain shape characteristics, which impact not only appearance and milling quality but also grain weight and yield. Identifying genes and loci underlying these traits is crucial for improving rice breeding programs. Previous studies have identified multiple quantitative trait loci (QTLs) and genes regulating grain length, width, and length-width ratio; however, further investigation is necessary to elucidate their regulatory pathways and their practical application in crop improvement.
View Article and Find Full Text PDFSingle- and multi-locus genome-wide association study reveals genomic regions of thirteen yield-related traits in common wheat.
BMC Plant Biol
December 2024
College of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Genetic dissection of yield-related traits can be used to improve wheat yield through molecular design breeding. In this study, we genotyped 245 wheat varieties and measured 13 yield-related plant height-, grain-, and spike-related traits, in seven environments, and identified 778 loci for these traits by genome-wide association study (GWAS) using single- and multi-locus models. Among these loci, nine were major, of which seven were novel, including Qph/lph.
View Article and Find Full Text PDFImproving genomic prediction accuracy of pig reproductive traits based on genotype imputation using preselected markers with different imputation platforms.
Animal
November 2024
Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, Laboratory of Animal Fat Deposition & Muscle Development, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China. Electronic address:
Genomic prediction has been widely applied to the pig industry and has greatly accelerated the progress of genetic improvement in pigs. With the development of sequencing technology and price reduction, more and more genotype imputation panels of pig have been investigated, providing an effective and economical method to further study the genetic variation of pig economic traits. In this study, the imputation from 80 k Single Nucleotide Polymorphism chip data of 832 Large White pigs to whole-genome sequencing genotypes was performed by Swine Imputation Server, Pig Haplotypes Reference Panel (PHARP), Animal Genotype Imputation Database and 1k-pig-genomes four thousand-pig imputation panels.
View Article and Find Full Text PDFPreimplantation genetic testing for structural rearrangements by genome-wide SNP genotyping and haplotype analysis: a prospective multicenter clinical study.
EBioMedicine
December 2024
Center for Reproductive Medicine, Shandong University, Jinan, Shandong, 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China; Shandong Key Laboratory of Reproductive Medicine, Jinan, Shandong, 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, 250012, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, 250012, China; Center for Reproductive Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200135, China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, 200135, China. Electronic address:
Background: Preimplantation genetic testing for chromosomal structural rearrangements (PGT-SR) has been widely utilized to select euploid embryos in patients carrying balanced chromosomal rearrangements (BCRs) by chromosome copy number analysis. However, reliable and extensively validated PGT-SR methods for selecting embryos without BCRs in large-cohort studies are lacking.
Methods: In this prospective, multicenter, cohort study, carriers with BCRs undergoing PGT-SR were recruited across 12 academic fertility centers within China.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!