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Current publicly available tools that allow rapid exploration of linkage disequilibrium (LD) between markers (e.g., HaploReg and LDlink) are based on whole-genome sequence (WGS) data from 2,504 individuals in the 1000 Genomes Project. Here, we present TOP-LD, an online tool to explore LD inferred with high-coverage (∼30×) WGS data from 15,578 individuals in the NHLBI Trans-Omics for Precision Medicine (TOPMed) program. TOP-LD provides a significant upgrade compared to current LD tools, as the TOPMed WGS data provide a more comprehensive representation of genetic variation than the 1000 Genomes data, particularly for rare variants and in the specific populations that we analyzed. For example, TOP-LD encompasses LD information for 150.3, 62.2, and 36.7 million variants for European, African, and East Asian ancestral samples, respectively, offering 2.6- to 9.1-fold increase in variant coverage compared to HaploReg 4.0 or LDlink. In addition, TOP-LD includes tens of thousands of structural variants (SVs). We demonstrate the value of TOP-LD in fine-mapping at the GGT1 locus associated with gamma glutamyltransferase in the African ancestry participants in UK Biobank. Beyond fine-mapping, TOP-LD can facilitate a wide range of applications that are based on summary statistics and estimates of LD. TOP-LD is freely available online.
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http://dx.doi.org/10.1016/j.ajhg.2022.04.006 | DOI Listing |
Theor Appl Genet
September 2025
Institute for Breeding Research on Agricultural Crops, Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Sanitz, 18190, Germany.
Low-cost and high-throughput RNA sequencing data for barley RILs achieved GP performance comparable to or better than traditional SNP array datasets when combined with parental whole-genome sequencing SNP data. The field of genomic selection (GS) is advancing rapidly on many fronts including the utilization of multi-omics datasets with the goal of increasing prediction ability and becoming an integral part of an increasing number of breeding programs ensuring future food security. In this study, we used RNA sequencing (RNA-Seq) data to perform genomic prediction (GP) on three related barley RIL populations.
View Article and Find Full Text PDFMar Biotechnol (NY)
September 2025
Yazhou Bay Innovation Institute, Hainan Tropical Ocean University, Sanya, China.
Epinephelus tukula is an economically important aquaculture animal, and a major parent in grouper crossbreeding. To better preserve and exploit E. tukula germplasm resources, a core collection (containing 34 individuals derived from 10 genetic groups) was first constructed based on phenotypic growth traits and whole-genome resequencing (WGS) data.
View Article and Find Full Text PDFMicrob Genom
September 2025
Regional Innovative Public Health Laboratory, Rush University Medical Center, Chicago, IL 60612, USA.
emerged in Chicago, IL, USA, in 2016 and has since become endemic. We used whole-genome sequencing (WGS) of 494 isolates, epidemiologic metadata and patient transfer data to describe the transmission of among Chicago healthcare facilities between 2016 and 2021. In total, 99% of isolates formed a single clade IV phylogenetic lineage, suggesting a single introduction.
View Article and Find Full Text PDFJ Hum Genet
September 2025
Center for Medical Genetics, Keio University School of Medicine, Tokyo, Japan.
In standard short-read whole-exome sequencing (WES), capture probes are typically designed to target the protein-coding regions (CDS), and regions outside the exons-except for adjacent intronic sequences-are rarely sequenced. Although the majority of known pathogenic variants reside within the CDS as nonsynonymous variants, some disease-causing variants are located in regions that are difficult to detect by WES alone, such as deep intronic variants and structural variants, often requiring whole-genome sequencing (WGS) for detection. Moreover, WES has limitations in reliably identifying pathogenic variants within mitochondrial DNA or repetitive regions.
View Article and Find Full Text PDFAdv Sci (Weinh)
September 2025
Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
Maintaining cellular ploidy is critical for normal physiological processes, although gains in ploidy are frequently observed during development, tissue regeneration, and metabolism, and potentially contribute to aneuploidy, thereby promoting tumor evolution. Although numerous computational tools have been developed to estimate cellular ploidy from whole-genome sequencing (WGS) data at bulk or single-cell resolution, to the knowledge, no systematic comparison of their performance has been conducted. Here, a benchmarking study is presented of 11 methods for bulk WGS and 8 methods for single-cell WGS data, utilizing both experimental and simulated datasets derived from diploid cells mixed with aneuploid or polyploid cells.
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