↓ Skip to main content

Family specific genetic predisposition to breast cancer: results from Tunisian whole exome sequenced breast cancer cases

Overview of attention for article published in Journal of Translational Medicine, June 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
57 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Family specific genetic predisposition to breast cancer: results from Tunisian whole exome sequenced breast cancer cases
Published in
Journal of Translational Medicine, June 2018
DOI 10.1186/s12967-018-1504-9
Pubmed ID
Authors

Yosr Hamdi, Maroua Boujemaa, Mariem Ben Rekaya, Cherif Ben Hamda, Najah Mighri, Houda El Benna, Nesrine Mejri, Soumaya Labidi, Nouha Daoud, Chokri Naouali, Olfa Messaoud, Mariem Chargui, Kais Ghedira, Mohamed Samir Boubaker, Ridha Mrad, Hamouda Boussen, Sonia Abdelhak, the PEC Consortium

Abstract

A family history of breast cancer has long been thought to indicate the presence of inherited genetic events that predispose to this disease. In North Africa, many specific epidemio-genetic characteristics have been observed in breast cancer families when compared to Western populations. Despite these specificities, the majority of breast cancer genetics studies performed in North Africa remain restricted to the investigation of the BRCA1 and BRCA2 genes. Thus, comprehensive data at a whole exome or whole genome level from local patients are lacking. A whole exome sequencing (WES) of seven breast cancer Tunisian families have been performed using a family-based approach. We focused our analysis on BC-TN-F001 family that included two affected members that have been sequenced using WES. Relevant variants identified in BC-TN-F001 have been confirmed using Sanger sequencing. Then, we conducted an integrative analysis by combining our results with those from other WES studies in order to figure out the genetic transmission model of the newly identified genes. Biological network construction and protein-protein interactions analyses have been performed to decipher the molecular mechanisms likely accounting for the role of these genes in breast cancer risk. Sequencing, filtering strategies, and validation analysis have been achieved. For BC-TN-F001, no deleterious mutations have been identified on known breast cancer genes. However, 373 heterozygous, exonic and rare variants have been identified on other candidate genes. After applying several filters, 12 relevant high-risk variants have been selected. Our results showed that these variants seem to be inherited in a family specific model. This hypothesis has been confirmed following a thorough analysis of the reported WES studies. Enriched biological process and protein-protein interaction networks resulted in the identification of four novel breast cancer candidate genes namely MMS19, DNAH3, POLK and KATB6. In this first WES application on Tunisian breast cancer patients, we highlighted the impact of next generation sequencing technologies in the identification of novel breast cancer candidate genes which may bring new insights into the biological mechanisms of breast carcinogenesis. Our findings showed that the breast cancer predisposition in non-BRCA families may be ethnic and/or family specific.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 19%
Student > Ph. D. Student 7 12%
Researcher 5 9%
Student > Postgraduate 5 9%
Student > Master 3 5%
Other 13 23%
Unknown 13 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 30%
Medicine and Dentistry 9 16%
Computer Science 3 5%
Nursing and Health Professions 2 4%
Agricultural and Biological Sciences 2 4%
Other 7 12%
Unknown 17 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 June 2018.
All research outputs
#17,978,863
of 23,088,369 outputs
Outputs from Journal of Translational Medicine
#2,782
of 4,051 outputs
Outputs of similar age
#238,157
of 329,367 outputs
Outputs of similar age from Journal of Translational Medicine
#45
of 101 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,051 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,367 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.