- THIS ARTICLE
- Full Text
- Full Text (PDF)
-
All Versions of this Article:
genetics.106.063982v1
176/4/2521 most recent - Alert me when this article is cited
- Alert me if a correction is posted
- SERVICES
- Email this article to a friend
- Similar articles in this journal
- Similar articles in PubMed
- Alert me to new issues of the journal
- Download to citation manager
- Reprints & Permissions
- CITING ARTICLES
- Citing Articles via HighWire
- Citing Articles via Google Scholar
- GOOGLE SCHOLAR
- Articles by Cartwright, D. A.
- Articles by Gutin, A.
- Search for Related Content
- PUBMED
- PubMed Citation
- Articles by Cartwright, D. A.
- Articles by Gutin, A.
Originally published as Genetics Published Articles Ahead of Print on February 4, 2007.
Genetics, Vol. 176, 2521-2527, August 2007, Copyright © 2007
doi:10.1534/genetics.106.063982
Genetic Mapping in the Presence of Genotyping Errors
Dustin A. Cartwright*,
,1,
Michela Troggio
,
Riccardo Velasco
and
Alexander Gutin*
* Myriad Genetics, Salt Lake City, Utah 84108 and
Genetics and Molecular Biology Department, IASMA Research Center, San Michele a/Adige (TN) 38010, Italy
1 Corresponding author: Myriad Genetics, 320 Wakara Way, Salt Lake City, UT 84108.
E-mail: dcartwri{at}myriad.com
Genetic maps are built using the genotypes of many related individuals. Genotyping errors in these data sets can distort genetic maps, especially by inflating the distances. We have extended the traditional likelihood model used for genetic mapping to include the possibility of genotyping errors. Each individual marker is assigned an error rate, which is inferred from the data, just as the genetic distances are. We have developed a software package, called TMAP, which uses this model to find maximum-likelihood maps for phase-known pedigrees. We have tested our methods using a data set in Vitis and on simulated data and confirmed that our method dramatically reduces the inflationary effect caused by increasing the number of markers and leads to more accurate orders.
This article has been cited by other articles:
![]() |
M. Troggio, S. Vezzulli, M. Pindo, G. Malacarne, P. Fontana, F. M. Moreira, L. Costantini, M. S. Grando, R. Viola, and R. Velasco ASEV Honorary Research Lecture 2007: Beyond the Genome, Opportunities for a Modern Viticulture: A Research Overview Am. J. Enol. Vitic., June 1, 2008; 59(2): 117 - 127. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Troggio, G. Malacarne, G. Coppola, C. Segala, D. A. Cartwright, M. Pindo, M. Stefanini, R. Mank, M. Moroldo, M. Morgante, et al. A Dense Single-Nucleotide Polymorphism-Based Genetic Linkage Map of Grapevine (Vitis vinifera L.) Anchoring Pinot Noir Bacterial Artificial Chromosome Contigs Genetics, August 1, 2007; 176(4): 2637 - 2650. [Abstract] [Full Text] [PDF] |
||||


