2022
DOI: 10.1111/1755-0998.13575
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Who are you? A framework to identify and report genetic sample mix‐ups

Abstract: Modern sequencing and genotyping technologies allow for highquality processing and relatively cost-effective evaluation of biological data. At the same time, standardized laboratory handling protocols and quality checks should ensure sample identification -in theory. However, even the most experienced laboratory is not safe from the occasional sample mix-up, often resulting in the affected sample being discarded if it is detected (Have et al., 2014;Wang et al., 2019). Sample mix-ups can happen at any stage in … Show more

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Cited by 3 publications
(3 citation statements)
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“…All fledglings are banded before they leave the nest, survival is surveyed twice a year, and all reproductive attempts across the island are monitored over an individual's lifetime (Low & Part, 2009). This study originally included confirmed genotype data for 480 hihi from Tiritiri Mātangi (Duntsch et al, 2022). However, although there is no natural migration between hihi sites, 98 of the initial sample pool were translocated from Tiritiri Mātangi to other sanctuaries throughout their lives.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…All fledglings are banded before they leave the nest, survival is surveyed twice a year, and all reproductive attempts across the island are monitored over an individual's lifetime (Low & Part, 2009). This study originally included confirmed genotype data for 480 hihi from Tiritiri Mātangi (Duntsch et al, 2022). However, although there is no natural migration between hihi sites, 98 of the initial sample pool were translocated from Tiritiri Mātangi to other sanctuaries throughout their lives.…”
Section: Methodsmentioning
confidence: 99%
“…This study originally included confirmed genotype data for 480 hihi from Tiritiri Mātangi (Duntsch et al, 2022). However, although there is no natural migration between hihi sites, 98 of the initial sample pool were translocated from Tiritiri Mātangi to other sanctuaries throughout their lives.…”
Section: Hihi Population Monitoring and Samplingmentioning
confidence: 99%
“…We assessed relatedness among the samples using the KING‐robust estimator (Manichaikul et al., 2010) implemented with NGSRelate v2 (Hanghøj et al., 2019) to confirm repeatability of positive controls and detect sample mix‐ups (following Duntsch et al., 2022). All within‐ and between‐plate positive controls revealed high relatedness (KING >0.48, where KING kinship coefficients of 0.354–0.5 correspond to duplicates; Manichaikul et al., 2010).…”
Section: Methodsmentioning
confidence: 99%