Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/33469
Title: The matter of clinical sequencing for familial breast cancer: The route from Sanger to next generation
Authors: Eskiler, Gamze Güney
Uludağ Üniversitesi/Tıp Fakültesi/Tıbbi Biyoloji Anabilim Dalı.
0000-0002-3316-316X
0000-0002-1619-6680
0000-0002-3820-424X
0000-0002-3316-316X
0000-0001-7904-883X
Eryılmaz, Işıl Ezgi
Çeçener, Gülşah
Egeli, Ünal
Tunca, Berrin
GWV-3548-2022
ABI-6078-2020
AAP-9988-2020
AAH-1656-2021
AAH-1420-2021
57189380840
6508156530
55665145000
6602965754
Keywords: Computer science
Engineering
Medical informatics
Genes
Risk analysis
Risk assessment
Familial breast cancer
Next generation sequencing
Early-onset
Inherited mutations
Dna-repair
Risk
Brca1
Association
Variants
Palb2
Breast cancer
Genes mutation
Genetic predisposition
Knowledge gaps
Next-generation sequencing
Risk determination
Sanger sequencing
Sequence analysis
Diseases
Issue Date: 2017
Publisher: IEEE
Citation: Eryılmaz, I. E. vd. (2017). ''The matter of clinical sequencing for familial breast cancer: The route from Sanger to next generation''. E-Health and Bioengineering Conference, 2017 IEEE Internatıonal conference on E-health and bioengineerıng conference (EHB), 181-184.
Abstract: We mentioned the importance of clinical sequence analysis in risk determination, diagnostic and therapeutic process of familial breast cancer and we also summarized next generation sequencing applications in this cancer type. In conclusion, BRCA1/2 genes mutations are associated with an increasing the risk of particularly familial breast cancer. However, sequencing of moderate penetrance genes and/or whole exome could also fill large knowledge gaps in explaining genetic predisposition of breast cancer.
Description: Bu çalışma, 22-24 Haziran 2017 tarihlerinde Sinaia[Romanya]’da düzenlenen 6. IEEE International Conference on E-Health and Bioengineering (EHB) Kongresi‘nde bildiri olarak sunulmuştur.
URI: http://hdl.handle.net/11452/33469
ISBN: 978-1-5386-0358-1
ISSN: 2575-5137
2575-5145
Appears in Collections:Scopus
Web of Science

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