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Journal Article

SNP+ to predict dropout rates in SNP arrays

N. Sastre; A. Mercadé; J. Casellas
Conservation Genetics Resources · Vol. 15, Issue 3 · pp. 113-116 · 2023

Abstract

Genotyping individuals using forensic or non-invasive samples such as hair or fecal samples increases the risk of allelic amplification failure (dropout) due to the low quality and quantity of DNA. One way to decrease genotyping errors is to increase the number of replicates per sample. Here, we have developed the software SNP+ to estimate the dropout probability and the subsequent required number of replicates to obtain the reliable genotype with probability 95%. Moreover, the software predicts the minor allele frequency and compares two competing models assuming equal or allele-specific dropout probabilities by Bayes factor. The software handles data from one SNP to high density arrays (e.g., 100,000 SNPs).

Bibliographic Information

JournalConservation Genetics Resources
PublisherSpringer
Publication Date2023-07-08
Publication Year2023
Volume15
Issue3
Pages113-116
Document TypeJournal Article
eISSN1877-7260
DOI10.1007/s12686-023-01309-3

Access Information

NARA Access Coverage2009-01-01~Current
Journal Homepagehttps://www.springer.com/journal/12686
Publisher PageOpen Publisher Page
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