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Genetic Bit Analysis: a solid phase method for typing single nucleotide polymorphisms

Overview of attention for article published in Nucleic Acids Research, October 1994
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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Article details
Title
Genetic Bit Analysis: a solid phase method for typing single nucleotide polymorphisms
Published in
Nucleic Acids Research, October 1994
DOI 10.1093/nar/22.20.4167
Pubmed ID
Authors
Abstract

A new method for typing single nucleotide polymorphisms in DNA is described. In this method, specific fragments of genomic DNA containing the polymorphic site(s) are first amplified by the polymerase chain reaction (PCR) using one regular and one phosphorothioate-modified primer. The double-stranded PCR product is rendered single-stranded by treatment with the enzyme T7 gene 6 exonuclease, and captured onto individual wells of a 96 well polystyrene plate by hybridization to an immobilized oligonucleotide primer. This primer is designed to hybridize to the single-stranded target DNA immediately adjacent from the polymorphic site of interest. Using the Klenow fragment of E. coli DNA polymerase I or the modified T7 DNA polymerase (Sequenase), the 3' end of the capture oligonucleotide is extended by one base using a mixture of one biotin-labeled, one fluorescein-labeled, and two unlabeled dideoxynucleoside triphosphates. Antibody conjugates of alkaline phosphatase and horseradish peroxidase are then used to determine the nature of the extended base in an ELISA format. This paper describes biochemical features of this method in detail. A semi-automated version of the method, which we call Genetic Bit Analysis (GBA), is being used on a large scale for the parentage verification of thoroughbred horses using a predetermined set of 26 diallelic polymorphisms in the equine genome.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
Netherlands 1 2%
Greece 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 13 29%
Student > Ph. D. Student 8 18%
Professor 5 11%
Student > Postgraduate 4 9%
Student > Bachelor 3 7%
Other 8 18%
Unknown 4 9%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 19 42%
Biochemistry, Genetics and Molecular Biology 9 20%
Chemistry 4 9%
Engineering 3 7%
Immunology and Microbiology 2 4%
Other 4 9%
Unknown 4 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 26 May 2026.
All research outputs
#2,708,458
of 30,703,623 outputs
Outputs from Nucleic Acids Research
#2,819
of 30,367 outputs
Outputs of similar age
#947
of 26,056 outputs
Outputs of similar age from Nucleic Acids Research
#4
of 117 outputs
Altmetric has tracked 30,703,623 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 30,367 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 90% 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 26,056 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 96% of its contemporaries.
We're also able to compare this research output to 117 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 96% of its contemporaries.