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Related Concept Videos

Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Flexible read-aware genotype imputation from sequence using biobank sized reference panels.

Zilong Li1, Anders Albrechtsen2, Robert W Davies3,4

  • 1Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark. zilong.dk@gmail.com.

Nature Communications
|December 13, 2025
PubMed
Summary
This summary is machine-generated.

QUILT2 enables fast and accurate genetic imputation from various DNA types, including cell-free DNA from non-invasive prenatal tests. This method advances genomic research and health risk prediction for both mothers and fetuses.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Genetic Epidemiology

Background:

  • Accurate genotyping is crucial for genomics and health risk prediction.
  • Existing imputation methods face challenges with scalability and diverse data types.

Purpose of the Study:

  • Introduce QUILT2, a scalable and read-aware imputation method.
  • Enable efficient imputation using large haplotype reference panels.
  • Facilitate imputation of maternal and fetal genomes from non-invasive prenatal testing (NIPT) data.

Main Methods:

  • Developed QUILT2, a novel imputation algorithm.
  • Utilized biobank-scale haplotype reference panels.
  • Applied QUILT2 to short reads, long reads (Oxford Nanopore Technologies), linked-reads, ancient DNA, and simulated NIPT data.

Main Results:

  • Achieved fast and accurate imputation across various DNA types, including long reads (e.g., ONT 1X, r2=0.937 for common SNPs).
  • Demonstrated accurate maternal genome imputation (0.25X, r2=0.966 for common SNPs) from simulated NIPT data.
  • Showed modest fetal genome imputation (0.25X, r2=0.465 at 10% fetal fraction) that improves with coverage (4.0X, r2=0.894).

Conclusions:

  • QUILT2 offers a scalable and versatile solution for genetic imputation.
  • Enables potential for genome-wide association studies (GWAS) and polygenic risk scores (PRS) in mothers and fetuses using NIPT data.
  • Highlights clinical opportunities for genetic analysis directly from NIPT, especially with linked phenotype data.