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False-positive results released by direct-to-consumer genetic tests highlight the importance of clinical confirmation testing for appropriate patient care

Overview of attention for article published in Genetics in Medicine, March 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 2,959)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
104 news outlets
blogs
17 blogs
twitter
751 X users
facebook
26 Facebook pages
googleplus
2 Google+ users
reddit
6 Redditors
video
1 YouTube creator

Citations

dimensions_citation
217 Dimensions

Readers on

mendeley
380 Mendeley
Title
False-positive results released by direct-to-consumer genetic tests highlight the importance of clinical confirmation testing for appropriate patient care
Published in
Genetics in Medicine, March 2018
DOI 10.1038/gim.2018.38
Pubmed ID
Authors

Stephany Tandy-Connor, Jenna Guiltinan, Kate Krempely, Holly LaDuca, Patrick Reineke, Stephanie Gutierrez, Phillip Gray, Brigette Tippin Davis

Abstract

PurposeThere is increasing demand from the public for direct-to-consumer (DTC) genetic tests, and the US Food and Drug Administration limits the type of health-related claims DTC tests can market. Some DTC companies provide raw genotyping data to customers if requested, and these raw data may include variants occurring in genes recommended by the American College of Medical Genetics and Genomics to be reported as incidental/secondary findings. The purpose of this study was to review the outcome of requests for clinical confirmation of DTC results that were received by our laboratory and to analyze variant classification concordance.MethodsWe identified 49 patient samples received for further testing that had previously identified genetic variants reported in DTC raw data. For each case identified, information pertaining to the outcome of clinical confirmation testing as well as classification of the DTC variant was collected and analyzed.ResultsOur analyses indicated that 40% of variants in a variety of genes reported in DTC raw data were false positives. In addition, some variants designated with the "increased risk" classification in DTC raw data or by a third-party interpretation service were classified as benign at Ambry Genetics as well as several other clinical laboratories, and are noted to be common variants in publicly available population frequency databases.ConclusionOur results demonstrate the importance of confirming DTC raw data variants in a clinical laboratory that is well versed in both complex variant detection and classification.GENETICS in MEDICINE advance online publication, 22 March 2018; doi:10.1038/gim.2018.38.

X Demographics

X Demographics

The data shown below were collected from the profiles of 751 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 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 380 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 51 13%
Student > Bachelor 48 13%
Researcher 46 12%
Other 38 10%
Student > Ph. D. Student 35 9%
Other 57 15%
Unknown 105 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 98 26%
Medicine and Dentistry 56 15%
Agricultural and Biological Sciences 38 10%
Social Sciences 14 4%
Nursing and Health Professions 13 3%
Other 48 13%
Unknown 113 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1396. 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 06 March 2024.
All research outputs
#9,102
of 25,732,188 outputs
Outputs from Genetics in Medicine
#1
of 2,959 outputs
Outputs of similar age
#168
of 348,534 outputs
Outputs of similar age from Genetics in Medicine
#1
of 57 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,959 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has done particularly well, scoring higher than 99% of its peers.
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 348,534 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.