Naisha Shah, Ying-Chen Claire Hou, Hung-Chun Yu, Rachana Sainger, C

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Identification of Misclassified ClinVar Variants via Disease Population Prevalence  Naisha Shah, Ying-Chen Claire Hou, Hung-Chun Yu, Rachana Sainger, C. Thomas Caskey, J. Craig Venter, Amalio Telenti  The American Journal of Human Genetics  Volume 102, Issue 4, Pages 609-619 (April 2018) DOI: 10.1016/j.ajhg.2018.02.019 Copyright © 2018 American Society of Human Genetics Terms and Conditions

Figure 1 Genetic Risk in ACMG-59 Conditions Fold-change of observed genetic risk over expected population prevalence using ClinVar variant sets for the ACMG-59 conditions. Each point represents a condition; each condition may be represented in more than one set. The navy blue line at a fold-change of 10 (i.e., inflation) indicates a theoretical penetrance of 10%. Observations above this line are highly suggestive of misclassified variants. The boxplot shows median (horizontal line in the box), first and third quartile (lower and upper hinges of the box, respectively). The upper whisker extends from the hinge to the largest value no further than 1.5 ∗ inter-quartile range (IQR) from the hinge. The lower whisker extends from the hinge to the smallest value at most 1.5 ∗ IQR of the hinge. (A) Fold-change was calculated using variants per variant set: set 1 consists of variants with 2 or more ClinVar review stars (i.e., two or more submitters with assertion criteria, expert panel, and practice guideline); set 2 consists of variants with 1 star (i.e., one submitter with assertion criteria); set 3 consists of variants with 0 star (i.e., submitter with no assertion criteria submitted in ClinVar); set 4 consists of variants with conflicting interpretations of pathogenicity. (B) Fold-change was calculated by using variants cumulatively from each set; i.e., set 2 includes set 1 variants, set 3 includes set 1 and 2 variants, set 4 includes all variants. (C) Fold-change was re-calculated after variants were filtered for disease-specific minor allele frequency thresholds. The American Journal of Human Genetics 2018 102, 609-619DOI: (10.1016/j.ajhg.2018.02.019) Copyright © 2018 American Society of Human Genetics Terms and Conditions

Figure 2 Genetic Risk in OrphaNet Conditions Fold-change of observed genetic risk over expected population prevalence using variant sets from ClinVar for the OrphaNet conditions. Each point represents a condition; each condition may be represented in more than one set. The navy blue line at a fold-change of 10 (i.e., inflation) indicates a theoretical penetrance of 10%. Observations above this line are highly suggestive of misclassified variants. The boxplot shows median (horizontal line in the box), first and third quartile (lower and upper hinges of the box, respectively). The upper whisker extends from the hinge to the largest value no further than 1.5 ∗ inter-quartile range (IQR) from the hinge. The lower whisker extends from the hinge to the smallest value at most 1.5 ∗ IQR of the hinge. (A) Fold-change was calculated using variants per variant set: set 1 consists of variants with 2 or more ClinVar review stars (i.e., two or more submitters with assertion criteria, expert panel, and practice guideline); set 2 consists of variants with 1 star (i.e., one submitter with assertion criteria); set 3 consists of variants with 0 star (i.e., submitter with no assertion criteria submitted in ClinVar); set 4 consists of variants with conflicting interpretations of pathogenicity. (B) Fold-change was calculated by using variants cumulatively from each set; i.e., set 2 includes set 1 variants, set 3 includes set 1 and 2 variants, set 4 includes all variants. (C) Fold-change was re-calculated after variants were filtered for disease-specific minor allele frequency thresholds. The American Journal of Human Genetics 2018 102, 609-619DOI: (10.1016/j.ajhg.2018.02.019) Copyright © 2018 American Society of Human Genetics Terms and Conditions

Figure 3 Change in ClinVar Variant Classification from May 2016 to September 2017 In the study period, 7,615 ClinVar variants changed classification. Predominantly, variants were reclassified to “conflicting interpretation” (n = 5,867; 77%). Only 158 variants (2%) were reclassified as pathogenic or likely pathogenic. Thickness of the arrows corresponds to the number of variants reclassified. The American Journal of Human Genetics 2018 102, 609-619DOI: (10.1016/j.ajhg.2018.02.019) Copyright © 2018 American Society of Human Genetics Terms and Conditions