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Sample Missingness

Definition
AI-generated

Sample missingness is the fraction of genotype calls missing for a given individual across assayed variants.

Topics
GWAS
Related
Call Rate Quality Control (QC) Variant Missingness

Why it matters in GWAS

Samples with high missingness are often low quality and can introduce technical artifacts, spurious ancestry patterns, and reduced power.

Example usage

"We excluded individuals with sample missingness above 2% before PCA and relatedness filtering."

Call Rate Quality Control (QC) Variant Missingness
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

  • Anderson CA, et al. (2010). Data quality control in genetic case-control association studies. Nat Protoc.
← Sequence Alignment/Map (SAM) Sampling distribution →

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