Estimating genotyping error rates from parent–offspring dyads

A common approach when estimating the error rate of a DNA register is to genotype some of the individuals twice. This may be both expensive and time consuming. As an alternative, we present a new method for estimating genotyping errors based on parent–offspring dyads. The basic idea is that parent a...

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Main Authors: Haaland, Øystein A., Skaug, Hans J.
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0167715212004257
id ftrepec:oai:RePEc:eee:stapro:v:83:y:2013:i:3:p:812-819
record_format openpolar
spelling ftrepec:oai:RePEc:eee:stapro:v:83:y:2013:i:3:p:812-819 2024-04-14T08:14:54+00:00 Estimating genotyping error rates from parent–offspring dyads Haaland, Øystein A. Skaug, Hans J. http://www.sciencedirect.com/science/article/pii/S0167715212004257 unknown http://www.sciencedirect.com/science/article/pii/S0167715212004257 article ftrepec 2024-03-19T10:32:28Z A common approach when estimating the error rate of a DNA register is to genotype some of the individuals twice. This may be both expensive and time consuming. As an alternative, we present a new method for estimating genotyping errors based on parent–offspring dyads. The basic idea is that parent and offspring must share at least one allele per locus. Others have previously devised similar techniques, but depended on the assumption that at most one error may occur per dyad. In this paper we examine the bias caused by this simplification. Further, we apply our method on a data set from the Norwegian minke whale DNA register, and find that the error rates are in the range of 0–0.0418, which is comparable to those in the published literature. DNA register; Parent–offspring dyad; Genotyping error; Pedigree; Bias; Article in Journal/Newspaper minke whale RePEc (Research Papers in Economics)
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description A common approach when estimating the error rate of a DNA register is to genotype some of the individuals twice. This may be both expensive and time consuming. As an alternative, we present a new method for estimating genotyping errors based on parent–offspring dyads. The basic idea is that parent and offspring must share at least one allele per locus. Others have previously devised similar techniques, but depended on the assumption that at most one error may occur per dyad. In this paper we examine the bias caused by this simplification. Further, we apply our method on a data set from the Norwegian minke whale DNA register, and find that the error rates are in the range of 0–0.0418, which is comparable to those in the published literature. DNA register; Parent–offspring dyad; Genotyping error; Pedigree; Bias;
format Article in Journal/Newspaper
author Haaland, Øystein A.
Skaug, Hans J.
spellingShingle Haaland, Øystein A.
Skaug, Hans J.
Estimating genotyping error rates from parent–offspring dyads
author_facet Haaland, Øystein A.
Skaug, Hans J.
author_sort Haaland, Øystein A.
title Estimating genotyping error rates from parent–offspring dyads
title_short Estimating genotyping error rates from parent–offspring dyads
title_full Estimating genotyping error rates from parent–offspring dyads
title_fullStr Estimating genotyping error rates from parent–offspring dyads
title_full_unstemmed Estimating genotyping error rates from parent–offspring dyads
title_sort estimating genotyping error rates from parent–offspring dyads
url http://www.sciencedirect.com/science/article/pii/S0167715212004257
genre minke whale
genre_facet minke whale
op_relation http://www.sciencedirect.com/science/article/pii/S0167715212004257
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