کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2121279 1085774 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Use of Whole Genome Sequencing for Diagnosis and Discovery in the Cancer Genetics Clinic
ترجمه فارسی عنوان
استفاده از توالی ژنومی برای تشخیص و کشف در کلینیک ژنتیک سرطان
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی تحقیقات سرطان
چکیده انگلیسی


• We used WGS to analyze the germline variations of 258 cancer genetics patients.
• To interpret variants, BRCA mutation carrier genomes were used as controls for patients that did not have BRCA mutations.
• The numbers of genetic diagnoses were increased when we expanded our focus to all genes annotated in the ClinVar database.
• This study investigates the pitfalls and the potential for diagnosis and discovery using whole-genome germline sequencing.

Despite the potential of whole-genome sequencing (WGS) to improve patient diagnosis and care, the empirical value of WGS in the cancer genetics clinic is unknown. We performed WGS on members of two cohorts of cancer genetics patients: those with BRCA1/2 mutations (n = 176) and those without (n = 82). Initial analysis of potentially pathogenic variants (PPVs, defined as nonsynonymous variants with allele frequency < 1% in ESP6500) in 163 clinically-relevant genes suggested that WGS will provide useful clinical results. This is despite the fact that a majority of PPVs were novel missense variants likely to be classified as variants of unknown significance (VUS). Furthermore, previously reported pathogenic missense variants did not always associate with their predicted diseases in our patients. This suggests that the clinical use of WGS will require large-scale efforts to consolidate WGS and patient data to improve accuracy of interpretation of rare variants. While loss-of-function (LoF) variants represented only a small fraction of PPVs, WGS identified additional cancer risk LoF PPVs in patients with known BRCA1/2 mutations and led to cancer risk diagnoses in 21% of non-BRCA cancer genetics patients after expanding our analysis to 3209 ClinVar genes. These data illustrate how WGS can be used to improve our ability to discover patients' cancer genetic risks.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: EBioMedicine - Volume 2, Issue 1, January 2015, Pages 74–81
نویسندگان
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