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Expanding preconception carrier screening for the Jewish population using high throughput microfluidics technology and next generation sequencing

Overview of attention for article published in BMC Medical Genomics, May 2016
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Title
Expanding preconception carrier screening for the Jewish population using high throughput microfluidics technology and next generation sequencing
Published in
BMC Medical Genomics, May 2016
DOI 10.1186/s12920-016-0184-7
Pubmed ID
Authors

Moran Gal, Khen Khermesh, Michal Barak, Min Lin, Hadas Lahat, Haike Reznik Wolf, Michael Lin, Elon Pras, Erez Y. Levanon

Abstract

Genetic screening to identify carriers of autosomal recessive diseases has become an integral part of routine prenatal care. In spite of the rapid growth of known mutations, most current screening programs include only a small subset of these mutations, and are performed using diverse molecular techniques, which are generally labor-intensive and time consuming. We examine the implementation of the combined high-throughput technologies of specific target amplification and next generation sequencing (NGS), for expanding the carrier screening program in the Israeli Jewish population as a test case. We compiled a panel of 370 germline mutations, causing 120 disorders, previously identified in affected Jewish individuals from different ethnicities. This mutation panel was simultaneously captured in 48 samples using a multiplex PCR-based microfluidics approach followed by NGS, thereby performing 17,760 individual assays in a single experiment. The sensitivity (measured with depth of at least 50×) and specificity of the target capture was 98 and 95 % respectively, leaving minimal rate of inconclusive tests per sample tested. 97 % of the targeted mutations present in the samples were correctly identified and validated. Our methodology was shown to successfully combine multiplexing of target specific primers, samples indexing and NGS technology for population genetic screens. Moreover, it's relatively ease of use and flexibility of updating the targets screened, makes it highly suitable for clinical implementation. This protocol was demonstrated in pre-conceptional screening for pan-Jewish individuals, but can be applied to any other population or different sets of mutations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 30%
Student > Ph. D. Student 4 12%
Student > Bachelor 3 9%
Lecturer 3 9%
Professor > Associate Professor 3 9%
Other 5 15%
Unknown 5 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 18%
Agricultural and Biological Sciences 5 15%
Medicine and Dentistry 5 15%
Nursing and Health Professions 2 6%
Engineering 2 6%
Other 4 12%
Unknown 9 27%
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 14 May 2016.
All research outputs
#18,458,033
of 22,870,727 outputs
Outputs from BMC Medical Genomics
#863
of 1,223 outputs
Outputs of similar age
#230,843
of 312,377 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 11 outputs
Altmetric has tracked 22,870,727 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 18th percentile – i.e., 18% 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 312,377 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.