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Single Nucleotide Polymorphisms

Overview of attention for book
Cover of 'Single Nucleotide Polymorphisms'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 SNPs: Impact on Gene Function and Phenotype
  3. Altmetric Badge
    Chapter 2 Silent (synonymous) SNPs: should we care about them?
  4. Altmetric Badge
    Chapter 3 SNP Databases
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    Chapter 4 Mining SNPs from DNA Sequence Data; Computational Approaches to SNP Discovery and Analysis
  6. Altmetric Badge
    Chapter 5 Next-Generation Sequencing Methods: Impact of Sequencing Accuracy on SNP Discovery
  7. Altmetric Badge
    Chapter 6 Scanning Probe and Nanopore DNA Sequencing: Core Techniques and Possibilities
  8. Altmetric Badge
    Chapter 7 Pyrosequencing for SNP Genotyping
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    Chapter 8 Single Nucleotide Polymorphism Screening with Denaturing Gradient Gel Electrophoresis
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    Chapter 9 Temporal Temperature Gradient Electrophoresis for Detection of Single Nucleotide Polymorphisms
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    Chapter 10 Zn(II)–Cyclen Polyacrylamide Gel Electrophoresis for SNP Detection
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    Chapter 11 Phosphate-Affinity Polyacrylamide Gel Electrophoresis for SNP Genotyping
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    Chapter 12 Estimation of SNP allele frequencies by SSCP analysis of pooled DNA.
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    Chapter 13 Phenylethynylpyrene Excimer Forming Hybridization Probes for Fluorescence SNP Detection
  15. Altmetric Badge
    Chapter 14 The Chemical Cleavage of Mismatch for the Detection of Mutations in Long DNA Fragments
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    Chapter 15 Mismatch Oxidation Assay: Detection of DNA Mutations Using a Standard UV/Vis Microplate Reader
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    Chapter 16 High-Throughput Methods for SNP Genotyping
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    Chapter 17 High-Throughput SNP Genotyping: Combining Tag SNPs and Molecular Beacons
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    Chapter 18 SNP Genotyping by the 5′-Nuclease Reaction: Advances in High-Throughput Genotyping with Nonmodel Organisms
  20. Altmetric Badge
    Chapter 19 The TaqMan method for SNP genotyping.
  21. Altmetric Badge
    Chapter 20 Qualitative and Quantitative Genotyping Using Single Base Primer Extension Coupled with Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MassARRAY®)
  22. Altmetric Badge
    Chapter 21 SNP Detection Using Trityl Mass Tags
  23. Altmetric Badge
    Chapter 22 Putting the Invader® Assay to Work: Laboratory Application and Data Management
  24. Altmetric Badge
    Chapter 23 SNP Genotyping Using Multiplex Single Base Primer Extension Assays
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    Chapter 24 High-Throughput SNP Detection Based on PCR Amplification on Magnetic Nanoparticles Using Dual-Color Hybridization
  26. Altmetric Badge
    Chapter 25 Restriction Enzyme Analysis of PCR Products
  27. Altmetric Badge
    Chapter 26 Allele-specific PCR in SNP genotyping.
  28. Altmetric Badge
    Chapter 27 Modified Multiple Primer Extension Method
  29. Altmetric Badge
    Chapter 28 Detection of SNP by the Isothermal Smart Amplification Method
Attention for Chapter 12: Estimation of SNP allele frequencies by SSCP analysis of pooled DNA.
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Chapter title
Estimation of SNP allele frequencies by SSCP analysis of pooled DNA.
Chapter number 12
Book title
Single Nucleotide Polymorphisms
Published in
Methods in molecular biology, September 2009
DOI 10.1007/978-1-60327-411-1_12
Pubmed ID
Book ISBNs
978-1-60327-410-4, 978-1-60327-411-1
Authors

Tahira T, Kukita Y, Higasa K, Okazaki Y, Yoshinaga A, Hayashi K, Tomoko Tahira, Yoji Kukita, Koichiro Higasa, Yuko Okazaki, Aki Yoshinaga, Kenshi Hayashi, Tahira, Tomoko, Kukita, Yoji, Higasa, Koichiro, Okazaki, Yuko, Yoshinaga, Aki, Hayashi, Kenshi

Abstract

The single strand conformation polymorphism (SSCP) method is a sensitive technique used to detect subtle sequence differences in PCR-amplified DNA fragments as separated peaks in electrophoretic analysis. In this chapter, we focus on SSCP analysis for quantifying polymorphic alleles rather than scanning for mutations. Short fragments carrying single nucleotide polymorphisms are amplified from individual and pooled DNA samples, then the products are labeled with fluorescent dyes and analyzed by automated capillary electrophoresis under nondenaturing conditions. Dedicated software, QSNPlite, interprets trace data of the electrophoresis to identify alleles of individuals and quantify these alleles in the pool. The software can also incorporate sequencing data to assign alleles at the nucleotide level. The procedures described here are being used in association studies that compare allele frequencies between cases and controls to identify genes responsible for common diseases.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 5%
Hong Kong 1 5%
Colombia 1 5%
Unknown 17 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 15%
Researcher 3 15%
Student > Bachelor 2 10%
Student > Postgraduate 2 10%
Student > Master 2 10%
Other 3 15%
Unknown 5 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 30%
Biochemistry, Genetics and Molecular Biology 3 15%
Medicine and Dentistry 2 10%
Environmental Science 1 5%
Chemistry 1 5%
Other 1 5%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 April 2021.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Methods in molecular biology
#2,316
of 13,094 outputs
Outputs of similar age
#33,009
of 92,917 outputs
Outputs of similar age from Methods in molecular biology
#9
of 19 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,094 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% of its peers.
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We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.