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      von Willebrand factor antigen levels are associated with burden of rare nonsynonymous variants in the VWF gene

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          Abstract

          von Willebrand disease (VWD) is phenotypically heterogeneous, and 35% of patients with type 1 VWD have no known pathogenic von Willebrand factor ( VWF) gene variant. Sadler et al sequenced the entire genomic VWF locus of 737 patients with type 1 VWD or low VWF levels. They report that an accumulation of rare nonsynonymous variants, both pathogenic and nonpathogenic, contributes to the level of VWF and accounts for 31% of the variance in VWF antigen levels.

          Key Points

          • The number of rare nonsynonymous VWF variants is significantly associated with VWF:Ag levels, regardless of VWD type.

          • VWF sequence alone will not reveal the cause of VWD in a majority of patients with higher VWF:Ag levels.

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          Abstract

          Approximately 35% of patients with type 1 von Willebrand disease (VWD) do not have a known pathogenic variant in the von Willebrand factor ( VWF) gene. We aimed to understand the impact of VWF coding variants on VWD risk and VWF antigen (VWF:Ag) levels, studying 527 patients with low VWF and VWD and 210 healthy controls. VWF sequencing was performed and VWF:Ag levels assayed. A combined annotation-dependent depletion (CADD) score >20 was used as a predicted pathogenicity measure. The number of rare nonsynonymous VWF variants significantly predicted VWF:Ag levels ( P = 1.62 × 10 −21). There was an association between average number of rare nonsynonymous VWF variants with VWD type 1 ( P = 2.4 × 10 −13) and low VWF ( P = 1.6 × 10 −27) compared with healthy subjects: type 1 subjects possessed on average >2 times as many rare variants as those with low VWF and 8 times as many as healthy subjects. The number of rare nonsynonymous variants significantly predicts VWF:Ag levels even after controlling for presence of a variant with a CADD score >20 or a known pathogenic variant in VWF ( P = 2.7 × 10 −14). The number of rare nonsynonymous variants in VWF as well as the presence of a variant with CADD >20 are both significantly associated with VWF levels. The association with rare nonsynonymous variants holds even when controlling for known pathogenic variants, suggesting that additional variants, in VWF or elsewhere, are associated with VWF:Ag levels. Patients with higher VWF:Ag levels with fewer rare nonsynonymous VWF gene variants could benefit from next-generation sequencing to find the cause of their bleeding.

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          Most cited references26

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          CADD: predicting the deleteriousness of variants throughout the human genome

          Abstract Combined Annotation-Dependent Depletion (CADD) is a widely used measure of variant deleteriousness that can effectively prioritize causal variants in genetic analyses, particularly highly penetrant contributors to severe Mendelian disorders. CADD is an integrative annotation built from more than 60 genomic features, and can score human single nucleotide variants and short insertion and deletions anywhere in the reference assembly. CADD uses a machine learning model trained on a binary distinction between simulated de novo variants and variants that have arisen and become fixed in human populations since the split between humans and chimpanzees; the former are free of selective pressure and may thus include both neutral and deleterious alleles, while the latter are overwhelmingly neutral (or, at most, weakly deleterious) by virtue of having survived millions of years of purifying selection. Here we review the latest updates to CADD, including the most recent version, 1.4, which supports the human genome build GRCh38. We also present updates to our website that include simplified variant lookup, extended documentation, an Application Program Interface and improved mechanisms for integrating CADD scores into other tools or applications. CADD scores, software and documentation are available at https://cadd.gs.washington.edu.
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            Evolution and functional impact of rare coding variation from deep sequencing of human exomes.

            As a first step toward understanding how rare variants contribute to risk for complex diseases, we sequenced 15,585 human protein-coding genes to an average median depth of 111× in 2440 individuals of European (n = 1351) and African (n = 1088) ancestry. We identified over 500,000 single-nucleotide variants (SNVs), the majority of which were rare (86% with a minor allele frequency less than 0.5%), previously unknown (82%), and population-specific (82%). On average, 2.3% of the 13,595 SNVs each person carried were predicted to affect protein function of ~313 genes per genome, and ~95.7% of SNVs predicted to be functionally important were rare. This excess of rare functional variants is due to the combined effects of explosive, recent accelerated population growth and weak purifying selection. Furthermore, we show that large sample sizes will be required to associate rare variants with complex traits.
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              Targeted Capture and Massively Parallel Sequencing of Twelve Human Exomes

              Genome-wide association studies suggest that common genetic variants explain only a small fraction of heritable risk for common diseases, raising the question of whether rare variants account for a significant fraction of unexplained heritability1,2. While DNA sequencing costs have fallen dramatically3, they remain far from what is necessary for rare and novel variants to be routinely identified at a genome-wide scale in large cohorts. We have therefore sought to develop second-generation methods for targeted sequencing of all protein-coding regions (`exomes'), to reduce costs while enriching for discovery of highly penetrant variants. Here we report on the targeted capture and massively parallel sequencing of the exomes of twelve humans. These include eight HapMap individuals representing three populations4, and four unrelated individuals with a rare dominantly inherited disorder, Freeman-Sheldon syndrome (FSS)5. We demonstrate the sensitive and specific identification of rare and common variants in over 300 megabases (Mb) of coding sequence. Using FSS as a proof-of-concept, we show that candidate genes for monogenic disorders can be identified by exome sequencing of a small number of unrelated, affected individuals. This strategy may be extendable to diseases with more complex genetics through larger sample sizes and appropriate weighting of nonsynonymous variants by predicted functional impact.
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                Author and article information

                Journal
                Blood
                Blood
                bloodjournal
                blood
                Blood
                Blood
                American Society of Hematology (Washington, DC )
                0006-4971
                1528-0020
                10 June 2021
                08 February 2021
                : 137
                : 23
                : 3277-3283
                Affiliations
                [1 ]Department of Pediatrics, School of Medicine, Washington University in St. Louis, St. Louis, MO;
                [2 ]Versiti Blood Research Institute, Milwaukee, WI;
                [3 ]Department of Neurosurgery, School of Medicine, Washington University in St Louis, St Louis, MO; and
                [4 ]Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI
                Author information
                https://orcid.org/0000-0002-3268-3809
                https://orcid.org/0000-0002-3884-5776
                https://orcid.org/0000-0002-1461-2871
                Article
                2021/BLD2020009999
                10.1182/blood.2020009999
                8351900
                33556167
                97b241ec-fdd5-4a68-9c02-f75666ded17d
                © 2021 by The American Society of Hematology

                This article is made available via the PMC Open Access Subset for unrestricted reuse and analyses in any form or by any means with acknowledgment of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

                History
                : 17 November 2020
                : 14 January 2021
                Page count
                Pages: 7
                Categories
                Clinical Trials and Observations
                Thrombosis and Hemostasis
                Thrombosis and Hemostasis

                Hematology
                Hematology

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