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Direct‐to‐Consumer Personal Genomic Testing: A Case Study and Practical Recommendations for “Genomic Counseling”

Overview of attention for article published in Journal of Genetic Counseling, February 2012
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Title
Direct‐to‐Consumer Personal Genomic Testing: A Case Study and Practical Recommendations for “Genomic Counseling”
Published in
Journal of Genetic Counseling, February 2012
DOI 10.1007/s10897-012-9489-7
Pubmed ID
Authors

Amy C. Sturm, Kandamurugu Manickam

Abstract

Technological advances and information-seeking consumers have pushed forward the movement of direct-to consumer(DTC) genetic testing. Just like with other types of testing, there are potential risks, benefits and limitations. A major limitation of DTC testing is the incomplete view it provides regarding lifetime risk for common, complex diseases,since most tests only analyze 1–2 single nucleotide polymorphisms (SNPs) and do not include evaluation of medical or family histories, which is necessary to risk assessment. Further, it is not currently well-established whether personal genomic testing results will lead toward improved health behaviors, adverse psychological effects or potential overuse of the health care system. To display these and other issues, we present an in-depth case study of an individual who ordered DTC genetic testing and subsequently sought genetic counseling. This case presents a unique learning experience for the field of genomic counseling, as the patient did not fit the typical assumptions regarding ‘early adopters’ of DTC testing. It also allowed the genetics health care providers involved in the case to identify gaps in current genetic counseling practice that need to be filled and approaches to employ for successful delivery of genomic counseling. Based on our experience, we developed practical recommendations for genomic counseling, which include novel approaches to case preparation, use of electronic tools during the counseling session, and focusing on education as the major component of the genomic counseling session, in order to provide patients with the knowledge necessary to independently interpret and understand large amounts of genomic testing information provided to them.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Netherlands 1 1%
Canada 1 1%
Austria 1 1%
Unknown 75 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 29%
Student > Bachelor 12 15%
Student > Ph. D. Student 10 13%
Researcher 9 11%
Student > Doctoral Student 5 6%
Other 14 18%
Unknown 7 9%
Readers by discipline Count As %
Medicine and Dentistry 19 24%
Biochemistry, Genetics and Molecular Biology 15 19%
Agricultural and Biological Sciences 14 18%
Social Sciences 9 11%
Nursing and Health Professions 8 10%
Other 7 9%
Unknown 8 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 May 2013.
All research outputs
#13,359,802
of 22,662,201 outputs
Outputs from Journal of Genetic Counseling
#609
of 1,137 outputs
Outputs of similar age
#146,235
of 247,240 outputs
Outputs of similar age from Journal of Genetic Counseling
#8
of 15 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,137 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 44th percentile – i.e., 44% 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 247,240 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.