Searching journal content for articles similar to Surakka et al. 20 (10): 1344.

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  1. ...such as The HapMap Consortium (International HapMap Consortium 2005; Locke et al. 2006), The 1000 Genomes Project (The 1000 Genomes Project Consortium 2015), and the population-scale projects such as UK Biobank, Genomics England, Trans-omics for Precision Medicine (TOPMed) (Kowalski et al. 2019), and All of Us...
  2. ...data set there are less SNPs than in the GDI data set, these SNPs have been chosen to capture most of the common variability in the human (The International HapMap Consortium 2005). Common SNPs, which are predominantly the signals detected by GWAS, are consequently the ones used for PGS. Together...
  3. ...for the discovery of low-frequency variants, such as somatic mutations. Newer long-read sequencing strategies also deliver highly accurate data, improving the detection of pathogenic single-nucleotide polymorphisms (SNPs) and copy number variation (CNV). Until recently, the lack of long-read compatible target...
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  4. ...version: In this window In a new window Figure 1. Overview of Spatial Integration for Imputation and Deconvolution (SIID). Given Xenium and Visium expression matrices AX and AV, respectively, with corresponding gene panels GX and GV (with GX ⊂ GV), and a Xenium to Visium spatial mapping Γ, SIID finds...
  5. ...-Elston regression (SUM-RHE), a method that can estimate the SNP heritability of complex phenotypes with accuracies comparable to approaches that require individual genotypes, while exclusively relying on summary statistics. SUM-RHE employs Genome-Wide Association Study (GWAS) summary statistics and statistics...
  6. ...count (C).View this table: In this window In a new window Table 1. Fertility parameters for putative Dmc1 knockout hybrid foundersGiven the low level of mutagenesis at the 3′ CRISPR site using sgRNA-D and the mosaic expression of Dmc1 observed in one of the founders, we wanted to improve the reliability...
  7. ...at high stoichiometries. Here, we demonstrate that the use of alternative RNA basecalling models, trained with fully unmodified sequences, increases the “error” signal of m6A, leading to enhanced detection and improved sensitivity even at low stoichiometries. Moreover, we find that high-accuracy...
  8. .... In the context of GWAS and fine-mapping studies in Brazilian and other Latin American populations with a predominant mix of European and African ancestries, we tested whether using the EPIGEN-5M+1KGP imputation panel improves imputation in respect to the 1KGP imputation panel alone.The EPIGEN-5M+1KGP and the 1...
  9. ...-one-out design. We evaluated overall imputation accuracy from these different assays as well as overall power for GWAS from imputed data and computed polygenic risk scores for coronary artery disease and breast cancer using previously derived weights. We conclude that low-pass sequencing plus imputation...
  10. .... In total, 1863 transcription units appear to be completely encompassed within CNVs in at least one individual when compared to the reference assembly. Further, 179 of these CNVs show population-specific copy number differences, and 325 are subject to complete deletion in multiple individuals. Among...
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