Genomic Evaluation of a 2-Month-Old Female with Tetralogy of Fallot

 
Case Z
arr[GRCh37]
19p13.11(18291753_18311626) x3
 
2-month-old female with Tetralogy of Fallot;
inheritance unknown
 
Clinical information
 
arr [GRCh37] 19p13.11(18291753_18311626) x3
2-month-old female with Tetralogy of Fallot
Inheritance information not available
For the sake of example, assume the size of this CNV is one that is
reliably detected by your platform and meets your reporting
requirements.
Use the GAIN scoring metric
 
Section 1: Initial Assessment of Genomic Content
 
Contains protein-coding genes (Category 1A)
0 points, continue evaluation
 
Genes
Involved
 
Our case
 
Total: 0 points
 
Section 2: Evaluation of Known Dosage
Sensitive (or Benign) Genes/Regions
 
No known dosage sensitive or benign genes/genomic regions.
0 points, continue evaluation
 
Total: 0 points
 
Section 3: Gene Count
 
Contains 2 protein-coding genes (Category 3A)
0 points, continue evaluation
 
Total: 0 points
 
Section 4: Detailed Evaluation of Genomic Content
 
There is a similarly-sized duplication in the DGV Gold Standard Dataset – let’s look into this further.
 
This frequency is >> the 1% threshold in category 4O – should we assign -1 points
and classify this CNV as benign?
 
Check the number of variants/number of samples tested
before automatically classifying something as Benign based
on population frequency.
 
In this instance, the frequency
of 12.9% is based on 4
observations across 31 samples
tested.
 
PMID: 30311383
 
Can we find any other information about this
area of the genome?
 
How frequent is too frequent for your
phenotype?
 
The 1% threshold for category 4O is a general guide
For some phenotypes, this will be too high
In some situations, this may be too low
For certain phenotypes, enough information may be available to
calculate the maximum expected allele frequency of a disease-
causing variant in the general population
Use the CardioDB Allele Frequency calculator
To be conservative (and end up with the most generous credible allele
frequency/allele count), select:
The highest (i.e., most frequent) reported disease prevalence
The most frequent single genetic cause
The lowest credible estimate of penetrance
 
http://cardiodb.org/allelefrequencyapp/
 
Estimated prevalence of ToF from NORD
(
https://rarediseases.org/rare-diseases/tetralogy-of-fallot/
)
 
Per OMIM (#187500), the most common genetic cause of ToF is the 22q11.2 deletion,
found in ~7% of patients (Rauch et al. 2010).  The allelic heterogeneity is set at 0.07 to
indicate that no single variant should be more frequent than the 22q11.2 deletion.
See the directions at the bottom of the web page for more information on how to
utilize these fields.
 
Default penetrance set at 0.5.
 
Used number of samples tested from
gnomAD SV.
Allele frequency of our
comparable gnomAD
variant: 0.003643
 
Allele Count: 79 (and 4
homozygotes)
 
PMID: 28518168
Whiffin et al. 2017
 
What if we changed the penetrance?
Allele frequency of our
comparable gnomAD
variant: 0.003643
 
Allele Count: 79 (and 4
homozygotes)
 
What if we changed the penetrance?
Allele frequency of our
comparable gnomAD
variant: 0.003643
 
Allele Count: 79 (and 4
homozygotes)
 
How should we score this variant?
 
Even though the overall frequency in the larger sample isn’t 1%, in this scenario, it still makes
sense to assign -1 points.
The frequency in the East Asian population was almost 3% with over 2000 alleles tested.
Even if we did not have this information, given the rarity of our phenotype, the overall frequency of
the comparable variant observed in the larger sample (gnomAD SV) is too high to make sense as
possible cause for Tetralogy of Fallot (using the Cardiodb calculator)
The high frequency from DGV alone would not be enough to warrant -1 due to the sample
size for that particular variant.
Note that there are many other variants in the DGV gold standard dataset that do have appropriately
high sample sizes.
Always check this information!
To complete the evaluation, do a literature search to ensure:
No reports of phenotype associated with duplication of 
MPV17L2
No reports of phenotype associated with potential loss of 
RAB3A
Assuming none, this CNV can be classified as Benign
 
Today’s Attendance URL and QR code:
 
https://tinyurl.com/AttendanceFeb27
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This case involves a 2-month-old female with Tetralogy of Fallot, carrying a genetic variation in the 19p13.11 region. The evaluation process includes assessing genes, known dosage sensitivity, gene count, and detailed analysis of the duplication found in the DGV Gold Standard Dataset. The frequency of the variation is above the 1% threshold, prompting consideration of classifying it as benign based on population frequency data. Further research is suggested to gather more information about this genomic area.

  • Genomic Evaluation
  • Tetralogy of Fallot
  • Pediatric Genetics
  • Chromosomal Variation
  • Variant Frequency

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  1. Case Z arr[GRCh37] 19p13.11(18291753_18311626) x3 2-month-old female with Tetralogy of Fallot; inheritance unknown

  2. Clinical information arr [GRCh37] 19p13.11(18291753_18311626) x3 2-month-old female with Tetralogy of Fallot Inheritance information not available For the sake of example, assume the size of this CNV is one that is reliably detected by your platform and meets your reporting requirements. Use the GAIN scoring metric

  3. Section 1: Initial Assessment of Genomic Content Our case Genes Involved Contains protein-coding genes (Category 1A) 0 points, continue evaluation Total: 0 points

  4. Section 2: Evaluation of Known Dosage Sensitive (or Benign) Genes/Regions No known dosage sensitive or benign genes/genomic regions. 0 points, continue evaluation Total: 0 points

  5. Section 3: Gene Count Contains 2 protein-coding genes (Category 3A) 0 points, continue evaluation Total: 0 points

  6. Section 4: Detailed Evaluation of Genomic Content There is a similarly-sized duplication in the DGV Gold Standard Dataset let s look into this further.

  7. This frequency is >> the 1% threshold in category 4O should we assign -1 points and classify this CNV as benign?

  8. Check the number of variants/number of samples tested before automatically classifying something as Benign based on population frequency. In this instance, the frequency of 12.9% is based on 4 observations across 31 samples tested.

  9. PMID: 30311383

  10. Can we find any other information about this area of the genome?

  11. How frequent is too frequent for your phenotype? The 1% threshold for category 4O is a general guide For some phenotypes, this will be too high In some situations, this may be too low For certain phenotypes, enough information may be available to calculate the maximum expected allele frequency of a disease- causing variant in the general population Use the CardioDB Allele Frequency calculator To be conservative (and end up with the most generous credible allele frequency/allele count), select: The highest (i.e., most frequent) reported disease prevalence The most frequent single genetic cause The lowest credible estimate of penetrance

  12. PMID: 28518168 Whiffin et al. 2017 http://cardiodb.org/allelefrequencyapp/ Estimated prevalence of ToF from NORD (https://rarediseases.org/rare-diseases/tetralogy-of-fallot/) Per OMIM (#187500), the most common genetic cause of ToF is the 22q11.2 deletion, found in ~7% of patients (Rauch et al. 2010). The allelic heterogeneity is set at 0.07 to indicate that no single variant should be more frequent than the 22q11.2 deletion. See the directions at the bottom of the web page for more information on how to utilize these fields. Allele frequency of our comparable gnomAD variant: 0.003643 Allele Count: 79 (and 4 homozygotes) Default penetrance set at 0.5. Used number of samples tested from gnomAD SV.

  13. What if we changed the penetrance? Allele frequency of our comparable gnomAD variant: 0.003643 Allele Count: 79 (and 4 homozygotes)

  14. What if we changed the penetrance? Allele frequency of our comparable gnomAD variant: 0.003643 Allele Count: 79 (and 4 homozygotes)

  15. How should we score this variant? Even though the overall frequency in the larger sample isn t 1%, in this scenario, it still makes sense to assign -1 points. The frequency in the East Asian population was almost 3% with over 2000 alleles tested. Even if we did not have this information, given the rarity of our phenotype, the overall frequency of the comparable variant observed in the larger sample (gnomAD SV) is too high to make sense as possible cause for Tetralogy of Fallot (using the Cardiodb calculator) The high frequency from DGV alone would not be enough to warrant -1 due to the sample size for that particular variant. Note that there are many other variants in the DGV gold standard dataset that do have appropriately high sample sizes. Always check this information! To complete the evaluation, do a literature search to ensure: No reports of phenotype associated with duplication of MPV17L2 No reports of phenotype associated with potential loss of RAB3A Assuming none, this CNV can be classified as Benign

  16. Todays Attendance URL and QR code: https://tinyurl.com/AttendanceFeb27

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