↓ Skip to main content

Saliva DNA quality and genotyping efficiency in a predominantly elderly population

Overview of attention for article published in BMC Medical Genomics, April 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
65 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
Saliva DNA quality and genotyping efficiency in a predominantly elderly population
Published in
BMC Medical Genomics, April 2016
DOI 10.1186/s12920-016-0172-y
Pubmed ID
Authors

Harini V. Gudiseva, Mark Hansen, Linda Gutierrez, David W. Collins, Jie He, Lana D. Verkuil, Ian D. Danford, Anna Sagaser, Anita S. Bowman, Rebecca Salowe, Prithvi S. Sankar, Eydie Miller-Ellis, Amanda Lehman, Joan M. O’Brien

Abstract

The question of whether DNA obtained from saliva is an acceptable alternative to DNA from blood is a topic of considerable interest for large genetics studies. We compared the yields, quality and performance of DNAs from saliva and blood from a mostly elderly study population. Two thousand nine hundred ten DNAs from primarily elderly subjects (mean age ± standard deviation (SD): 65 ± 12 years), collected for the Primary Open-Angle African-American Glaucoma Genetics (POAAGG) study, were evaluated by fluorometry and/or spectroscopy. These included 566 DNAs from blood and 2344 from saliva. Subsets of these were evaluated by Sanger sequencing (n = 1555), and by microarray SNP genotyping (n = 94) on an Illumina OmniExpress bead chip platform. The mean age of subjects was 65, and 68 % were female in both the blood and saliva groups. The mean ± SD of DNA yield per ml of requested specimen was significantly higher for saliva (17.6 ± 17.8 μg/ml) than blood (13.2 ± 8.5 μg/ml), but the mean ± SD of total DNA yield obtained per saliva specimen (35 ± 36 μg from 2 ml maximum specimen volume) was approximately three-fold lower than from blood (106 ± 68 μg from 8 ml maximum specimen volume). The average genotyping call rates were >99 % for 43 of 44 saliva DNAs and >99 % for 50 of 50 for blood DNAs. For 22 of 23 paired blood and saliva samples from the same individuals, the average genotyping concordance rate was 99.996 %. High quality PCR Sanger sequencing was obtained from ≥ 98 % of blood (n = 297) and saliva (n = 1258) DNAs. DNA concentrations ≥10 ng/μl, corresponding to total yields ≥ 2 μg, were obtained for 94 % of the saliva specimens (n = 2344). In spite of inferior purity, the performance of saliva DNAs for microarray genotyping was excellent. Our results agree with other studies concluding that saliva collection is a viable alternative to blood. The potential to boost study enrollments and reduce subject discomfort is not necessarily offset by a reduction in genotyping efficiency. Saliva DNAs performed comparably to blood DNAs for PCR Sanger sequencing.

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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 14%
Student > Bachelor 9 14%
Student > Postgraduate 7 11%
Student > Ph. D. Student 7 11%
Student > Doctoral Student 5 8%
Other 12 18%
Unknown 16 25%
Readers by discipline Count As %
Medicine and Dentistry 13 20%
Biochemistry, Genetics and Molecular Biology 13 20%
Agricultural and Biological Sciences 9 14%
Nursing and Health Professions 2 3%
Unspecified 2 3%
Other 8 12%
Unknown 18 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 02 July 2018.
All research outputs
#4,228,126
of 25,368,786 outputs
Outputs from BMC Medical Genomics
#266
of 2,444 outputs
Outputs of similar age
#62,809
of 315,515 outputs
Outputs of similar age from BMC Medical Genomics
#9
of 38 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 89% 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 315,515 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.