Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • leontp587
    Junior Member
    • Jul 2014
    • 6

    #1

    Question about genotype and +/- strands

    Hi everyone,

    I'm new to bioinformatics and have a basic question.

    On Snepedia, Rs1333049 (http://snpedia.com/index.php/Rs1333049) has the following genotype vs clinical effect information:
    Chromosome: 9
    Orientation: plus

    Geno: Summary
    (C;C): 1.9x increased risk for CAD
    (C;G): 1.5x increased risk for CAD
    (G;G): normal

    Does this mean that a person with a plus strand of C and minus strand of G on one chromosome 9 and the same on the other homologous chromosome 9, he/she will have 1.9x risk of CAD? And, if the plus strand was G and the minus strand was C on both chromosomes, then the risk is normal?

    This is probably a very basic question. I just wanted to ask to see if I understand genotypes and plus/minus strands correctly.

    Thanks!
  • Brian Bushnell
    Super Moderator
    • Jan 2014
    • 2709

    #2
    Genotype refers to the allele on the plus strand regardless of whether a gene is read from the plus or minus strand. And yes, your understanding of risk is correct.

    Comment

    • gringer
      David Eccles (gringer)
      • May 2011
      • 845

      #3
      I prefer to avoid complementary mutations (if possible) due to ambiguity around genotyping. Without surrounding sequence you can't tell what strand a variant comes from, which can lead to a great deal of confusion.

      This is a particular issue when validating your variant information. I've had a few cases where a sequenom service provider has used a strand for genotyping that is the opposite from what HapMap, Illumina, or Affymetrix used. For non-complementary variants this is an easy and obvious fix, but it's much trickier when you have C/G or A/T variants.

      Comment

      • leontp587
        Junior Member
        • Jul 2014
        • 6

        #4
        Originally posted by gringer View Post
        I prefer to avoid complementary mutations (if possible) due to ambiguity around genotyping. Without surrounding sequence you can't tell what strand a variant comes from, which can lead to a great deal of confusion.

        This is a particular issue when validating your variant information. I've had a few cases where a sequenom service provider has used a strand for genotyping that is the opposite from what HapMap, Illumina, or Affymetrix used. For non-complementary variants this is an easy and obvious fix, but it's much trickier when you have C/G or A/T variants.
        Thank you everyone for your answers. It's much clearer now.

        I definitely agree it's more challenging about complementary mutations, hopefully eventually there will be a widely followed consensus on how to genotype, because certainly it makes biological sense to have C/G or A/T variants.

        Comment

        Latest Articles

        Collapse

        • SEQadmin2
          Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
          by SEQadmin2



          CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

          Despite this, “CRISPR helped turn genome editing from a specialized technique into
          ...
          07-31-2026, 11:01 AM
        • SEQadmin2
          Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
          by SEQadmin2


          Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

          The systematic characterization of the human proteome has
          ...
          07-20-2026, 11:48 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, 08-13-2026, 12:22 PM
        0 responses
        20 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-11-2026, 10:35 AM
        0 responses
        16 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-06-2026, 07:41 AM
        0 responses
        32 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-03-2026, 10:13 AM
        0 responses
        50 views
        0 reactions
        Last Post SEQadmin2  
        Working...