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An amendment to this paper has been published and can be accessed via a link at the top of the paper.An amendment to this paper has been published and can be accessed via a link at the top of the paper.

The ability of a single technology, next-generation sequencing, to provide both sequence and copy number variant (CNV) results has driven the merger of clinical cytogenetics and molecular genetics. Consequently, the distinction between the definition of a sequence variant and a CNV is blurry. As the 2015 American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) standards and guidelines for interpretation of sequence variants address CNV classification only sparingly, this study focused on adapting ACMG/AMP criteria for single-gene CNV interpretation. CNV-specific modifications of the 2015 ACMG/AMP criteria were developed and their utility was independently tested by three diagnostic laboratories. Each laboratory team interpreted the same 12 single-gene CNVs using three systems: (1) without ACMG/AMP guidance, (2) with ACMG/AMP criteria,and (3) with new modifications. A replication study of 12 different CNVs validated the modified criteria. The adapted criteria system presented here showed improved concordance and usability for single-gene CNVs compared with using the ACMG/AMP interpretation guidelines focused on sequence variants. These single-gene CNV criteria modifications could be used as a supplement to the ACMG/AMP guidelines for sequence variants, allowing for a streamlined workflow and a step toward a uniform classification system for both sequence and copy number alterations.

Mitochondrial DNA (mtDNA) mutations are frequent in breast tumors, but the etiology of these mutations is unknown. We hypothesized that these mutations are associated with exposures that affect oxidative stress such as alcohol metabolism. Using archived tumor blocks from incident breast cancer cases in a case control study, the Western New York Exposures and Breast Cancer (WEB) study, analysis of mtDNA mutations was conducted on 128 breast cancer cases selected based on extremes of alcohol intake. Temporal temperature gradient gel electrophoresis (TTGE) was used to screen the entire mtDNA genome and sequencing was completed for all TTGE positive samples. Case-case comparisons were completed using unconditional logistic regression to determine the relative prevalence of the mutations by exposures including alcohol consumption, manganese superoxide dismutase (MnSOD) genotype, nutrient intake related to oxidative stress and established breast cancer risk factors. Somatic mtDNA mutations were found in 60 of the 128 tumors examined. There were no differences in the prevalence of mtDNA mutations by alcohol consumption, MnSOD genotype or dietary intake. The likelihood of mtDNA mutations was reduced among those with a positive family history for breast cancer (OR = 0.33, CI = 0.12-0.92), among postmenopausal women who used hormone replacement therapy (OR = 0.46, CI = 0.19-1.08, P = 0.08) and was increased for ER negative tumors (OR = 2.05, CI = 0.95-4.43, P = 0.07). Consistent with previous studies, we found that mtDNA mutations are a frequent occurrence in breast tumors. An understanding of the etiology of mtDNA mutations may provide insight into breast carcinogenesis.

PurposeThe ability of a single technology, next-generation sequencing, to provide both sequence and copy number variant (CNV) results has driven the merger of clinical cytogenetics and molecular genetics. Consequently, the distinction between the definition of a sequence variant and a CNV is blurry. As the 2015 American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) standards and guidelines for interpretation of sequence variants address CNV classification only sparingly, this study focused on adapting ACMG/AMP criteria for single-gene CNV interpretation.MethodsCNV-specific modifications of the 2015 ACMG/AMP criteria were developed and their utility was independently tested by three diagnostic laboratories. Each laboratory team interpreted the same 12 single-gene CNVs using three systems: (1) without ACMG/AMP guidance, (2) with ACMG/AMP criteria, and (3) with new modifications. A replication study of 12 different CNVs validated the modified criteria.ResultsThe adapted criteria system presented here showed improved concordance and usability for single-gene CNVs compared with using the ACMG/AMP interpretation guidelines focused on sequence variants.ConclusionThese single-gene CNV criteria modifications could be used as a supplement to the ACMG/AMP guidelines for sequence variants, allowing for a streamlined workflow and a step toward a uniform classification system for both sequence and copy number alterations.

To detect the somatic mutations in complete mitochondrial genome and to investigate the role of mtDNA mutation in the tumorigenesis of lung cancer. DNA were extracted from sixteen lung cancer and corresponding normal tissues. The entire mitochondrial genome was amplified with 32 pairs of overlapping primers. mtDNA mutations were screened by temporal temperature gradient gel electrophoresis. mtDNA fragments showing different banding patterns between tumor and paracancerous tissues were sequenced to identify the exact mutations. The common 4 977 bp deletion was also analyzed in all sixteen tumor tissues as well as the matched paracancerous samples by PCR. Ten out of sixteen (62.5%) tumor tissues showed a total of 29 mutations. Half (5/10) of tumors with somatic mutation presented one mutation and the rests had multiple ones. Out of 29 mutations, 17 (58.62%) were in D-loop region, 2 (6.90%) in rRNA and 10 (34.48%) in mRNA. Among 10 mRNA mutations, 7 were silence and 3 were missense mutations. Five out of twenty-

目的 检测肺癌患者线粒体DNA体细胞性突变并探讨它在肿瘤发生中的作用.方法 利用时相温度梯度凝胶电泳对16例肺癌患者的肿瘤及相应癌旁组织全线粒体DNA进行突变筛查,然后直接测序明确突变并进行分析.结果 在10例(62.5%)患者中发现29个体细胞性突变,其中2个位于rRNA区(6.90%),10个位于mRNA区(34.48%),17个位于高变D环区(58.62%).检测到2例肿瘤和3例癌旁组织具有常见的4 977 bp缺失突变.除np303～309位点具有长度不稳定外,未发现其它微卫星区域不稳定.结论 肺癌患者的线粒体DNA存在高频率的体细胞性突变. Objective To detect the somatic mutations in complete mitochondrial genome and to investigate the role of mtDNA mutation in the tumorigenesis of lung cancer. Methods DNA were extracted from sixteen lung cancer and corresponding normal tissues. The entire mitochondrial genome was amplified with 32 pairs of overlapping primers. mtDNA mutations were screened by temporal temperature gradient gel electrophoresis. mtDNA fragments showing different banding patterns between tumor and paracancerous tissues were sequenced to identify the exact mutations. The common 4 977 bp deletion was also analyzed in all sixteen tumor tissues as well as the matched paracancerous samples by PCR. Results Ten out of sixteen (62.5%) tumor tissues showed a total o