Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Fine-mapping cellular QTLs with RASQUAL and ATAC-seq.

Nature genetics - 1 Feb 2016

Kumasaka Natsuhiko, Knights Andrew J, Gaffney Daniel J

Abstract excerpt

When cellular traits are measured using high-throughput DNA sequencing, quantitative trait loci (QTLs) manifest as fragment count differences between individuals and allelic differences within individuals. We present RASQUAL (Robust Allele-Specific Quantitation and Quality Control), a new statistical approach for association mapping that models genetic effects and accounts for biases in sequencing data using a...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Genetics, Population
Share to Genomic Imprinting
Share to Genotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to High-Throughput Nucleotide Sequencing

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Share to White People

Source

Open in PubMed Open full text

Identifiers

PMID: 26656845
DOI: 10.1038/ng.3467
PMCID: PMC5098600

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Fine-mapping cellular QTLs with RASQUAL and ATAC-seq.PMID 26656845Read ↗

Fine-mapping cellular QTLs with RASQUAL and ATAC-seqSemantic proximity Read ↗

A meta-analysis of chromatin-associated loci provides insights into mechanistic interpretations of trait heritabilitySemantic proximity Read ↗

Genotype inference from aggregated chromatin accessibility data reveals genetic regulatory mechanismsSemantic proximity Read ↗

Fine-mapping <i>cis</i> -regulatory variants in diverse human populationsSemantic proximity Read ↗

Allele-Specific QTL Fine Mapping with PLASMA.Semantic proximity Read ↗

Genetic integration with cell-specific nucleosome positioning resolves causal relationships underlying chromatin accessibility profilesSemantic proximity Read ↗

Accurate, sensitive, and efficient chromatin accessibility quantification at target loci using UNIChro-seqSemantic proximity Read ↗

A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction.Semantic proximity Read ↗

Tissue-specific enhancer-gene maps from multimodal single-cell data identify causal disease allelesSemantic proximity Read ↗

Accurate, sensitive, and efficient chromatin accessibility quantification at target loci using UNIChro-seq.Semantic proximity Read ↗

Quantifying deleterious effects of regulatory variants.Semantic proximity Read ↗

cellSTAAR: Incorporating single-cell-sequencing-based functional data to boost power in rare variant association testing of non-coding regionsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.