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GC bias

Definition
AI-generated

GC bias is uneven sequencing depth or representation as a function of local GC content, often arising from PCR, capture, or sequencing chemistry.

Topics
Sequencing Data Analysis
Related
Coverage Sequencing artifact

Why it matters in GWAS

GC bias can depress calling in extreme-GC exons and distort CNV or coverage-based tests if not corrected or masked.

Example usage

"GC bias metrics from Picard showed no batch differences after re-normalization."

Coverage Sequencing artifact
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Benjamini Y, Speed TP. (2012). Summarizing and correcting the GC bias in high-throughput sequencing. Nucleic Acids Res.
← British in England and Scotland (GBR) Genome-wide Complex Trait Analysis (GCTA) →

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