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Related Concept Videos

Principles of Pharmacogenetics: Types of Genetic Variants01:27

Principles of Pharmacogenetics: Types of Genetic Variants

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The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...
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Genetic Variation01:25

Genetic Variation

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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
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Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu01:29

Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu

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Genetic variations significantly influence drug response through pharmacokinetics, receptor interactions, and biologic milieu modifications. Pharmacokinetic alterations impact drug metabolism and clearance, affecting efficacy and toxicity. Variants in drug-metabolizing enzymes, such as CYP2C9 and CYP2C19, alter drug activation and elimination. For example, CYP2C9 loss-of-function variants require lower warfarin doses to prevent excessive bleeding, while CYP2C19 variants reduce clopidogrel...
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Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
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Human Genetics01:28

Human Genetics

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
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Related Experiment Video

Updated: Feb 27, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

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Errors in data interpretation from genetic variation of human analytes.

Heather L Howie1, Meghan Delaney1,2, Xiaohong Wang1

  • 1BloodworksNW Research Institute, Seattle, Washington, USA.

JCI Insight
|July 7, 2017
PubMed
Summary
This summary is machine-generated.

Natural genetic variations in immunoglobulin constant regions can cause antibody reagents to misidentify targets, impacting research accuracy. This affects studies on IgG subtypes and other antibody-based detection methods.

Keywords:
GeneticsImmunology

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
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Area of Science:

  • Immunology
  • Biotechnology
  • Medical Diagnostics

Background:

  • Antibody reagents are critical in research and diagnostics, but poorly characterized reagents contribute to the "reproducibility crisis."
  • Previous concerns focused on reagent quality, but target variability has been an overlooked issue.

Purpose of the Study:

  • To define how natural variations in immunoglobulin (IgG) constant regions affect antibody reagent reactivity.
  • To investigate the impact of these variations on the accuracy of studies analyzing IgG subtypes in human diseases.

Main Methods:

  • Analysis of natural variations in the immunoglobulin constant region.
  • Testing the reactivity of commonly used subtype-specific anti-IgG polyclonal and monoclonal reagents against these variations.

Main Results:

  • Natural variations in IgG constant regions alter reagent binding, leading to cross-reactivity with unintended targets for polyclonal reagents.
  • Monoclonal reagents exhibit blind spots for intended targets due to these variations.
  • This highlights potential errors in numerous studies characterizing IgG subtypes.

Conclusions:

  • Genetic variations in antibody targets represent a significant, previously unappreciated dimension of the reproducibility crisis.
  • These findings raise concerns about the reliability of past and present research utilizing antibody detection methods.
  • The study underscores the need to consider target variability in the development and validation of antibody-based assays.