@article {968, title = {Evaluating systematic reanalysis of clinical genomic data in rare disease from single center experience and literature review.}, journal = {Mol Genet Genomic Med}, volume = {8}, year = {2020}, month = {2020 11}, pages = {e1508}, abstract = {

BACKGROUND: Our primary aim was to evaluate the systematic reanalysis of singleton exome sequencing (ES) data for unsolved cases referred for any indication. A secondary objective was to undertake a literature review of studies examining the reanalysis of genomic data from unsolved cases.

METHODS: We examined data from 58 unsolved cases referred between June 2016 and March 2017. First reanalysis at 4-13~months after the initial report considered genes newly associated with disease since the original analysis; second reanalysis at 9-18~months considered all disease-associated genes. At 25-34~months we reviewed all cases and the strategies which solved them.

RESULTS: Reanalysis of existing ES data alone at two timepoints did not yield new diagnoses. Over the same timeframe, 10 new diagnoses were obtained (17\%) from additional strategies, such as microarray detection of copy number variation, repeat sequencing to improve coverage, and trio sequencing. Twenty-seven peer-reviewed articles were identified on the literature review, with a median new diagnosis rate via reanalysis of 15\% and median reanalysis timeframe of 22~months.

CONCLUSION: Our findings suggest that an interval of greater than 18~months from the original report may be optimal for reanalysis. We also recommend a multi-faceted strategy for cases remaining unsolved after singleton ES.

}, issn = {2324-9269}, doi = {10.1002/mgg3.1508}, author = {Tan, Natalie B and Stapleton, Rachel and Stark, Zornitza and Delatycki, Martin B and Yeung, Alison and Hunter, Matthew F and Amor, David J and Brown, Natasha J and Stutterd, Chloe A and McGillivray, George and Yap, Patrick and Regan, Matthew and Chong, Belinda and Fanjul Fernandez, Miriam and Marum, Justine and Phelan, Dean and Pais, Lynn S and White, Susan M and Lunke, Sebastian and Tan, Tiong Y} } @article {383, title = {Monoallelic and biallelic CREB3L1 variant causes mild and severe osteogenesis imperfecta, respectively.}, journal = {Genet Med}, volume = {20}, year = {2018}, month = {2018 04}, pages = {411-419}, abstract = {

PurposeOsteogenesis imperfecta (OI) is a heritable skeletal dysplasia. Dominant pathogenic variants in COL1A1 and COL1A2 explain the majority of OI cases. At least 15 additional genes have been identified, but those still do not account for all OI phenotypes that present. We sought the genetic cause of mild and lethal OI phenotypes in an unsolved family.MethodsWe performed exome sequencing on seven members of the family, both affected and unaffected.ResultsWe identified a variant in cyclic AMP responsive element binding protein 3-like 1 (CREB3L1) in a consanguineous family. The variant caused a prenatal/perinatal lethal OI in homozygotes, similar to that seen in OI type II as a result of mutations in type I collagen genes, and a mild phenotype (fractures, blue sclerae) in multiple heterozygous family members. CREB3L1 encodes old astrocyte specifically induced substance (OASIS), an endoplasmic reticulum stress transducer. The variant disrupts a DNA-binding site and prevents OASIS from acting on its transcriptional targets including SEC24D, which encodes a component of the coat protein II complex.ConclusionThis report confirms that CREB3L1 is an OI-related gene and suggests the pathogenic mechanism of CREB3L1-associated OI involves the altered regulation of proteins involved in cellular secretion.

}, keywords = {Alleles, Amino Acid Sequence, Collagen Type I, Cyclic AMP Response Element-Binding Protein, DNA Mutational Analysis, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Genotype, Humans, Mutation, Nerve Tissue Proteins, Osteogenesis Imperfecta, Pedigree, Phenotype, Radiography, Sequence Analysis, DNA, Severity of Illness Index, Ultrasonography, Prenatal}, issn = {1530-0366}, doi = {10.1038/gim.2017.115}, author = {Keller, Rachel B and Tran, Thao T and Pyott, Shawna M and Pepin, Melanie G and Savarirayan, Ravi and McGillivray, George and Nickerson, Deborah A and Bamshad, Michael J and Byers, Peter H} }