Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Sergio.pv
    Member
    • Jul 2013
    • 21

    False variant calls due to alignment (Allele specific expression, aka ASE)

    Dear Community
    I am trying to identify genes having allele specific expression from RNAseq data using GATK's ASEReadCaller and MBASED (https://genomebiology.biomedcentral....059-014-0405-3).

    ASEReadCaller uses BAM files to produce a table with rows for SNP sites and columns for the alternative and reference allele counts.

    If the alternate allele has at least 5 counts, a variant is called (this is an arbitrary threshold; some studies use 3 counts).

    Heterozygosity is defined as sites with a minimun of 10 total counts and min 5 counts per allele.

    To apply MBASED it is suggested to remove heterozygous sites being too close to each other (within 10bp), as this is evidence of false variant calls due to alignment.

    I am having trouble understanding this concept.

    The way I see it, a false variant call results from reads with a mismatch being correctly aligned to the reference genome; that mismatch will be considered as the alternate allele if it matches to the actual non reference allele and then a variant is called (according to a given threshold). Now, if a read carries more than one mismatch, then it will potentially produce more than one false variant call.

    Since reads are not too long and there is a given RNAseq error rate, the easiest explanation for variant calls that are too close from each other is that reads mapping to that location contain mismatches.

    I would greatly appreciate if someone can tell me if I am reasoning through this correctly

    Thanks in advance!

Latest Articles

Collapse

  • SEQadmin2
    Cancer Drug Resistance: The Lingering Barrier to Rising Survival
    by SEQadmin2



    Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

    There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
    Yesterday, 05:17 AM
  • GATTACAT
    Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by GATTACAT
    Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
    07-01-2026, 11:43 AM
  • SEQadmin2
    Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by SEQadmin2


    I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

    Here are nine questions we think about, in roughly the order they matter, before...
    06-18-2026, 07:11 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, Yesterday, 10:08 AM
0 responses
6 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-07-2026, 11:05 AM
0 responses
8 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-02-2026, 11:08 AM
0 responses
31 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 06-30-2026, 05:37 AM
0 responses
29 views
0 reactions
Last Post SEQadmin2  
Working...