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Differential analysis of mutations in the Jewish population and their implications for diseases
Sequencing large cohorts of ethnically homogeneous individuals yields genetic insights with implications for the entire population rather than a single individual. In order to evaluate the genetic basis of certain diseases encountered at high frequency in the Ashkenazi Jewish population (AJP), as we...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865140/ https://www.ncbi.nlm.nih.gov/pubmed/28502252 http://dx.doi.org/10.1017/S0016672317000015 |
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author | EINHORN, YARON WEISSGLAS-VOLKOV, DAPHNA CARMI, SHAI OSTRER, HARRY FRIEDMAN, EITAN SHOMRON, NOAM |
author_facet | EINHORN, YARON WEISSGLAS-VOLKOV, DAPHNA CARMI, SHAI OSTRER, HARRY FRIEDMAN, EITAN SHOMRON, NOAM |
author_sort | EINHORN, YARON |
collection | PubMed |
description | Sequencing large cohorts of ethnically homogeneous individuals yields genetic insights with implications for the entire population rather than a single individual. In order to evaluate the genetic basis of certain diseases encountered at high frequency in the Ashkenazi Jewish population (AJP), as well as to improve variant annotation among the AJP, we examined the entire exome, focusing on specific genes with known clinical implications in 128 Ashkenazi Jews and compared these data to other non-Jewish populations (European, African, South Asian and East Asian). We targeted American College of Medical Genetics incidental finding recommended genes and the Catalogue of Somatic Mutations in Cancer (COSMIC) germline cancer-related genes. We identified previously known disease-causing variants and discovered potentially deleterious variants in known disease-causing genes that are population specific or substantially more prevalent in the AJP, such as in the ATP and HGFAC genes associated with colorectal cancer and pancreatic cancer, respectively. Additionally, we tested the advantage of utilizing the database of the AJP when assigning pathogenicity to rare variants of independent whole-exome sequencing data of 49 Ashkenazi Jew early-onset breast cancer (BC) patients. Importantly, population-based filtering using our AJP database enabled a reduction in the number of potential causal variants in the BC cohort by 36%. Taken together, population-specific sequencing of the AJP offers valuable, clinically applicable information and improves AJP filter annotation. |
format | Online Article Text |
id | pubmed-6865140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68651402019-11-27 Differential analysis of mutations in the Jewish population and their implications for diseases EINHORN, YARON WEISSGLAS-VOLKOV, DAPHNA CARMI, SHAI OSTRER, HARRY FRIEDMAN, EITAN SHOMRON, NOAM Genet Res (Camb) Research Papers Sequencing large cohorts of ethnically homogeneous individuals yields genetic insights with implications for the entire population rather than a single individual. In order to evaluate the genetic basis of certain diseases encountered at high frequency in the Ashkenazi Jewish population (AJP), as well as to improve variant annotation among the AJP, we examined the entire exome, focusing on specific genes with known clinical implications in 128 Ashkenazi Jews and compared these data to other non-Jewish populations (European, African, South Asian and East Asian). We targeted American College of Medical Genetics incidental finding recommended genes and the Catalogue of Somatic Mutations in Cancer (COSMIC) germline cancer-related genes. We identified previously known disease-causing variants and discovered potentially deleterious variants in known disease-causing genes that are population specific or substantially more prevalent in the AJP, such as in the ATP and HGFAC genes associated with colorectal cancer and pancreatic cancer, respectively. Additionally, we tested the advantage of utilizing the database of the AJP when assigning pathogenicity to rare variants of independent whole-exome sequencing data of 49 Ashkenazi Jew early-onset breast cancer (BC) patients. Importantly, population-based filtering using our AJP database enabled a reduction in the number of potential causal variants in the BC cohort by 36%. Taken together, population-specific sequencing of the AJP offers valuable, clinically applicable information and improves AJP filter annotation. Cambridge University Press 2017-05-15 /pmc/articles/PMC6865140/ /pubmed/28502252 http://dx.doi.org/10.1017/S0016672317000015 Text en © Cambridge University Press 2017 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Papers EINHORN, YARON WEISSGLAS-VOLKOV, DAPHNA CARMI, SHAI OSTRER, HARRY FRIEDMAN, EITAN SHOMRON, NOAM Differential analysis of mutations in the Jewish population and their implications for diseases |
title | Differential analysis of mutations in the Jewish population and their implications for diseases |
title_full | Differential analysis of mutations in the Jewish population and their implications for diseases |
title_fullStr | Differential analysis of mutations in the Jewish population and their implications for diseases |
title_full_unstemmed | Differential analysis of mutations in the Jewish population and their implications for diseases |
title_short | Differential analysis of mutations in the Jewish population and their implications for diseases |
title_sort | differential analysis of mutations in the jewish population and their implications for diseases |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865140/ https://www.ncbi.nlm.nih.gov/pubmed/28502252 http://dx.doi.org/10.1017/S0016672317000015 |
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