MG-108 Beyond the ACMG 56: Parental choices and initial results from a comprehensive whole genome sequencing-based search for predictive genomic variants in children. (4th December 2015)
- Record Type:
- Journal Article
- Title:
- MG-108 Beyond the ACMG 56: Parental choices and initial results from a comprehensive whole genome sequencing-based search for predictive genomic variants in children. (4th December 2015)
- Main Title:
- MG-108 Beyond the ACMG 56: Parental choices and initial results from a comprehensive whole genome sequencing-based search for predictive genomic variants in children
- Authors:
- Meyn, MStephen
Monfared, Nasim
Marshall, Christian R
Merico, Daniele
Stavropoulos, Dimitri J
Hayeems, Robin Z
Szego, Michael
Jobling, Rebekah
Girdea, Marta
Bader, Gary D
Brudno, Michael
Cohn, Ronald D
Scherer, Stephen W
Shaul, Randi Zlotnik
Shuman, Cheryl
Ray, Peter N
Bowdin, Sarah - Abstract:
- Abstract : Objective: The overall goal of the SickKids Genome Clinic is to pilot paediatric genomic medicine. To this end we have assessed parental interest in predictive secondary medically-actionable variants (MAVs) and used whole genome sequencing (WGS) to determine the frequency and nature of these MAVs in children. Design: The Genome Clinic conducts diagnostic WGS for 150+ children/year who are undergoing genetic evaluations. With parents' permission, we search children's genomes for predictive MAVs in 2800+ disease genes listed in the NIH Clinical Genomic Database. Results: Of 373 families approached to date, 56% agreed to participate. 58% of participants chose to learn their child's secondary adult-onset MAVs. Among these parents, 79% decided to learn their own status for these variants. Bioinformatics analysis of the first 100 patient genomes yielded 2957 candidate variants in 1132 genes (~30 variants/genome). ~70% of candidates were listed in HGMD. However, subsequent manual assessment rejected >90% of variants for dominant diseases listed in HGMD as disease causing due to inadequate evidence of pathogenicity. After manual assessment, 33/100 children had at least one reportable predictive MAV. 9 MAVs occurred in a 2013 ACMG-guideline reportable gene. Expanding our search 50 fold to include 2800+ disease genes yielded 29 additional reportable predictive MAVs. Return of predictive MAVs and assessment of their penetrance is underway. Conclusions: Parental opinions varyAbstract : Objective: The overall goal of the SickKids Genome Clinic is to pilot paediatric genomic medicine. To this end we have assessed parental interest in predictive secondary medically-actionable variants (MAVs) and used whole genome sequencing (WGS) to determine the frequency and nature of these MAVs in children. Design: The Genome Clinic conducts diagnostic WGS for 150+ children/year who are undergoing genetic evaluations. With parents' permission, we search children's genomes for predictive MAVs in 2800+ disease genes listed in the NIH Clinical Genomic Database. Results: Of 373 families approached to date, 56% agreed to participate. 58% of participants chose to learn their child's secondary adult-onset MAVs. Among these parents, 79% decided to learn their own status for these variants. Bioinformatics analysis of the first 100 patient genomes yielded 2957 candidate variants in 1132 genes (~30 variants/genome). ~70% of candidates were listed in HGMD. However, subsequent manual assessment rejected >90% of variants for dominant diseases listed in HGMD as disease causing due to inadequate evidence of pathogenicity. After manual assessment, 33/100 children had at least one reportable predictive MAV. 9 MAVs occurred in a 2013 ACMG-guideline reportable gene. Expanding our search 50 fold to include 2800+ disease genes yielded 29 additional reportable predictive MAVs. Return of predictive MAVs and assessment of their penetrance is underway. Conclusions: Parental opinions vary widely regarding return of predictive MAVs and comprehensive genomic analysis can yield predictive MAVs in 1/3 of children, with the number of reportable predictive MAVs constrained by disease prevalence and imperfect variant interpretation. … (more)
- Is Part Of:
- Journal of medical genetics. Volume 52(2015)Supplement 2
- Journal:
- Journal of medical genetics
- Issue:
- Volume 52(2015)Supplement 2
- Issue Display:
- Volume 52, Issue 2 (2015)
- Year:
- 2015
- Volume:
- 52
- Issue:
- 2
- Issue Sort Value:
- 2015-0052-0002-0000
- Page Start:
- A3
- Page End:
- A4
- Publication Date:
- 2015-12-04
- Subjects:
- Medical genetics -- Periodicals
616.042 - Journal URLs:
- http://jmg.bmjjournals.com/ ↗
http://www.bmj.com/archive ↗ - DOI:
- 10.1136/jmedgenet-2015-103578.8 ↗
- Languages:
- English
- ISSNs:
- 1468-6244
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
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