Open Access Research

Virtual karyotyping with SNP microarrays reduces uncertainty in the diagnosis of renal epithelial tumors

Jill M Hagenkord1, Anil V Parwani1, Maureen A Lyons-Weiler2, Karla Alvarez3, Robert Amato3, Zoran Gatalica4, Jose M Gonzalez-Berjon5, Leif Peterson3, Rajiv Dhir1 and Federico A Monzon356*

Author Affiliations

1 Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA

2 Clinical Genomics Facility, University of Pittsburgh, Pittsburgh, PA, USA

3 Department of Pathology, The Methodist Hospital Research Institute, Houston, TX, USA

4 Department of Pathology, Creighton University Medical Center, Omaha, NE, USA

5 Department of Pathology, The Methodist Hospital, Houston, TX, USA

6 Pathology, Weill Medical College of Cornell University, New York, NY, USA

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Diagnostic Pathology 2008, 3:44  doi:10.1186/1746-1596-3-44

Published: 6 November 2008

Additional files

Additional file 1:

All samples in study (n = 75) with pathology descriptors.

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Open Data

Additional file 2:

Frequency of chromosomal gain/loss identified with SNP arrays in renal cell tumors with classic morphology (n = 50).

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Open Data

Additional file 3:

Virtual karyotypes of morphologically challenging tumors with associated surgical pathology and FISH data.

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Open Data