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Article

Strategies for excluding false Y-chromosomal SNP entries from human genome databases.

Electrophoresis - 1 May 2012

Rothe Jessica, Nagy Marion

Abstract excerpt

Current human genome databases for public single nucleotide polymorphisms (SNPs) still contain a substantial fraction of false entries. The main reasons for errors include sequencing or assembly errors, paralogous sequence-, and private variants. In the course of our studies on the Y chromosome, we established a set of internal laboratory guidelines for reliably identifying false SNP entries in databases.

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Share to Base Sequence
Share to Chromosomes, Human, Y
Share to Databases, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Human

Share to Molecular Sequence Data

Share to Polymorphism, Single Nucleotide

Share to Sequence Alignment

Share to Sequence Analysis, DNA

Source

Identifiers

PMID: 22648820
DOI: 10.1002/elps.201100685

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.

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