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

A Practical Guide to Using Structural Variants for Genome-Wide Association Studies.

Methods in molecular biology (Clifton, N.J.) - 1 Jan 2022

Lemay Marc-André, Malle Sidiki

Abstract excerpt

Structural variants (SVs) are known to have large functional impacts on phenotypes of agricultural interest, but they have yet to be routinely used for GWAS. Apart from the difficulty in obtaining high-quality SV genotype data for large populations, one of the main hurdles to using SVs for GWAS lies in formatting of genotype data for use with popular GWAS programs. This protocol describes how typical SV genotype...

Read the complete abstract on PubMed

Topics

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

Share to Genotype
Share to Genome-Wide Association Study
Share to Phenotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35641764
DOI: 10.1007/978-1-0716-2237-7_10

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

A Practical Guide to Using Structural Variants for Genome-Wide Association Studies.PMID 35641764Read ↗

Identifying genetic variants underlying phenotypic variation in plants without complete genomes.Semantic proximity Read ↗

Genome-wide association studies: assessing trait characteristics in model and crop plants.Semantic proximity Read ↗

Status and prospects of genome-wide association studies in plants.Semantic proximity Read ↗

k-mer-based GWAS enhances the discovery of causal variants and candidate genes in soybean.Semantic proximity Read ↗

CropGS-Hub: a comprehensive database of genotype and phenotype resources for genomic prediction in major crops.Semantic proximity Read ↗

k-mer-Based Genome-Wide Association Studies in Plants: Advances, Challenges, and Perspectives.Semantic proximity Read ↗

Innovative Advances in Plant Genotyping.Semantic proximity Read ↗

Quantitative genetics: pan-genomes, SVs, and k-mers for GWAS.Semantic proximity Read ↗

Cataloging Plant Genome Structural Variations.Semantic proximity Read ↗

Broadening the horizon of crop research: a decade of advancements in plant molecular genetics to divulge phenotype governing genes.Semantic proximity Read ↗

GWAS for genetics of complex quantitative traits: Genome to pangenome and SNPs to SVs and k-mers.Semantic proximity Read ↗

The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog.Semantic proximity Read ↗

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