ABSTRACT Polyglucosan body myopathy type 2 (PGBM2; OMIM #616199) is an autosomal recessive myopathy caused by biallelic variants in GYG1 , which encodes glycogenin‐1. It is characterized by progressive muscle weakness and PAS‐positive, diastase‐resistant polyglucosan inclusions on muscle biopsy. We report a 64‐year‐old woman who developed progressive proximal weakness beginning in her early 50s, with polyglucosan bodies identified on muscle histopathology. Genome sequencing (GS) detected a single heterozygous pathogenic splice‐site variant, NM_004130.4( GYG1 ):c.143+3G>C. Given strong histopathologic evidence of PGBM2, GS data were reanalyzed, revealing an additional rare deep intronic variant, NM_004130.4( GYG1 ):c.7+992T>G, predicted to activate a cryptic exon. RNA sequencing (RNA‐seq) confirmed aberrant splicing from both variants, demonstrating exon 2 skipping associated with c.143+3G>C and cryptic exon inclusion caused by c.7+992T>G. Variant phasing posed a diagnostic challenge due to unavailable parental DNA, and long‐range PCR results were inconclusive. Long‐read GS definitively demonstrated that the two variants were in trans , establishing compound heterozygosity and confirming the molecular diagnosis. These findings enabled reclassification of the deep intronic variant as likely pathogenic. This case highlights the diagnostic limitations of conventional phasing approaches in adult‐onset recessive disorders and demonstrates the clinical utility of integrating genome reanalysis, RNA‐seq, and long‐read GS for resolving complex phasing challenges.
Stratifying lung adenocarcinoma risk with multi-ancestry polygenic risk scores in East Asian never-smokers
Abstract Background Lung adenocarcinoma in never-smokers is a major public health burden, especially among East Asian women. Polygenic risk scores (PRSs) are promising for risk stratification but are primarily developed in European-ancestry populations. We aimed to develop and validate single- and multi-ancestry PRSs for East Asian never-smokers to improve lung adenocarcinoma risk prediction. Methods PRSs were developed using genome-wide association study summary statistics from East Asian (8002 cases; 20 782 controls) and European (2058 cases; 5575 controls) populations. Single-ancestry models included a PRS with 25 single nucleotide variants (PRS-25), PRS clumping and thresholding (CT), and LDpred2; multi-ancestry models included LDpred2 plus European PRS-128, PRS-CSx, and clumping and thresholding, super learning, empirical Bayes (CT-SLEB). Performance was evaluated in independent East Asian data from the Female Lung Cancer Consortium and externally validated in the Nanjing Lung Cancer Cohort. We assessed predictive accuracy via area under the curve operating procedure (AUC), with 10-year and (ages 30-80 years) absolute risks estimates. Results The best multi-ancestry PRS, using East Asian and European data via CT-SLEB, outperformed the best East Asian-only (LDpred2; AUC = 0.629, 95% confidence interval [CI] = 0.618 to 0.641), achieving an AUC of 0.640 (95% CI = 0.629 to 0.653) and odds ratio of 1.71 (95% CI = 1.61 to 1.82) per standard deviation increase. Nanjing Lung Cancer Cohort validation confirmed robust performance (AUC = 0.649, 95% CI = 0.623 to 0.676). The top 20% PRS group had a 3.92-fold higher lung adenocarcinoma risk than the bottom 20%. Further, the top 5% PRS group reached a 6.69% lifetime absolute risk. Notably, this group reached the average population 10-year lung adenocarcinoma risk at age 50 years (0.42%) by age 41 years, 9 years earlier. Conclusions Multi-ancestry PRS approaches enhance lung adenocarcinoma risk stratification in East Asian never-smokers, with consistent external validation, suggesting future clinical utility.
Expanding Upon Genomics in Rare Diseases: Epigenomic Insights
DNA methylation is an essential epigenetic modification that plays a crucial role in regulating gene expression and maintaining genomic stability. With the advancement in sequencing technology, methylation studies have provided valuable insights into the diagnosis of rare diseases through the various identification of episignatures, epivariation, epioutliers, and allele-specific methylation. However, current methylation studies are not without limitations. This mini-review explores the current understanding of DNA methylation in rare diseases, highlighting the key mechanisms and diagnostic potential, and emphasizing the need for advanced methodologies and integrative approaches to enhance the understanding of disease progression and design more personable treatment for patients, given the nature of rare diseases.
TMEM161B regulates cerebral cortical gyration, Sonic Hedgehog signaling, and ciliary structure in the developing central nervous system
Sonic hedgehog signaling regulates processes of embryonic development across multiple tissues, yet factors regulating context-specific Shh signaling remain poorly understood. Exome sequencing of families with polymicrogyria (disordered cortical folding) revealed multiple individuals with biallelic deleterious variants in TMEM161B , which encodes a multi-pass transmembrane protein of unknown function. Tmem161b null mice demonstrated holoprosencephaly, craniofacial midline defects, eye defects, and spinal cord patterning changes consistent with impaired Shh signaling, but were without limb defects, suggesting a CNS-specific role of Tmem161b. Tmem161b depletion impaired the response to Smoothened activation in vitro and disrupted cortical histogenesis in vivo in both mouse and ferret models, including leading to abnormal gyration in the ferret model. Tmem161b localizes non-exclusively to the primary cilium, and scanning electron microscopy revealed shortened, dysmorphic, and ballooned ventricular zone cilia in the Tmem161b null mouse, suggesting that the Shh-related phenotypes may reflect ciliary dysfunction. Our data identify TMEM161B as a regulator of cerebral cortical gyration, as involved in primary ciliary structure, as a regulator of Shh signaling, and further implicate Shh signaling in human gyral development.
Abstract 628: Neoantigens predicted by clonal mutation analysis in lung adenocarcinoma patients
Abstract Mutant peptides presented in cancer are superior vaccine candidates than self peptides. The efficacy of mutant K-Ras, P53 and EFGR peptides have been tested as cancer vaccines in pancreatic cancer, colorectal cancer, and lung adenocarcinoma. However, the occurrence of these mutations in cancer is limited. Further more, these mutant peptides can only be presented by certain MHC alleles. Neoantigens expressed by passenger mutations which are not involved in common proliferative molecular pathways are potential candidates for personalized vaccine design. Such passenger mutations have drawn attention by the recent clinical data that colorectal cancer with a large number of somatic mutations due to mismatch-repair defects are more susceptible to immune checkpoint blockade by PD1 antibody therapy. In this study, we analyzed the next generation sequencing data of 147 lung adenocarcinoma patients from The Cancer Genome Atlas and predicted neoantigens presented by MHC Class I and Class II molecules. We found 18175 expressed clonal somatic mutations, with an average of 124 per patient. Based on such somatic mutations, we predicted 8731 neo-peptides, among which 3888 strong-binders and 4843 weak-binders to MHC Class I molecules were found by NetMHCPan. For HLA-A*02:01, 778 strong binding and 822 weak binding neo-peptides were found. In average, 11 neo-antigen peptides of mutations were predicted per individual patient with HLA-A*02:01 allele. Smokers expressed 5.73 fold higher mutant neo-antigen peptides than non-smokers. The 20 most commonly mutated genes with predicted neo-antigens are TTN, RYR2, MUC16, KRAS, ZFHX4, TP53, USH2A, NAV3, KEAP1, ANK2, DNAH9, ADAMTS12, CSMD1, CSMD3, SPTA1, FAT3, ZNF804A, PAPPA2, PCLO, EGFR. As a positive control, the frequency of known proliferation-related mutations (KRAS, P53, and EGFR) were determined in 147 patients, which are consistent with previously next generation sequencing studies of lung adenocarcinoma. Mutation hotspots were found in proliferation-related mutations (KRAS), but not in passenger mutations. 6950 neo-peptides, including 259 strong binders and 6691 weak binders were found for HLA DRB1, an MHC Class II molecule. INDEL mutation type of neo-epitopes were found in 119 of 147 patients, with an average of 4.34 INDEL mutations presented by MHC Class I and 0.86 INDEL mutations presented by MHC Class II molecule HLA DRB1 in every patient. Our results support the feasibility of discovering individualized mutant peptides as candidates for immunodiagnosis and immunotherapy of lung adenocarcinoma. Neo-epitopes which can be presented by both MHC Class I and MHC Class II molecules are attractive targets for designing long-peptide vaccines. Note: This abstract was not presented at the meeting. Citation Format: Dapeng Zhou, Weijing Cai, Deng Pan, Tan Wen Ling, Jiaqian Wang, Caichun Zhou, Yanyan Lou. Neoantigens predicted by clonal mutation analysis in lung adenocarcinoma patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 628. doi:10.1158/1538-7445.AM2017-628