Whole Genome Sequencing to Discover Familial Myeloma Risk Genes

全基因组测序发现家族性骨髓瘤风险基因

• 批准号: 8681393
• 负责人: Steven M Lipkin
• 金额: $ 33.06万
• 依托单位: WEILL MEDICAL COLL OF CORNELL UNIV
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-27 至 2017-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8681393
• 关键词: Accounting; Adenocarcinoma; Affect; Anemia; B-Lymphocytes; BRCA1 gene; Bone Marrow; Breast; Candidate Disease Gene; Cell Culture Techniques; Cells; Clinical; Collection; Colonic Adenoma; Constitutional; DNA Sequence; Dana-Farber Cancer Institute; Data; Disease; Early Diagnosis; Etiology; Family member; First Degree Relative; Gene Mutation; Gene Proteins; Genome; Goals; Hematologic Neoplasms; Hybrids; Individual; Kidney Failure; Knock-in Mouse; Lesion; Lytic; Magnetic Resonance Imaging; Malignant - descriptor; Malignant Neoplasms; Malignant neoplasm of pancreas; Malignant neoplasm of prostate; Monoclonal gammopathy of uncertain significance; Multiple Myeloma; Mutation; Ovariectomy; Paraproteins; Patients; Plasma Cells; Prevalence; Prevention; Production; Relative (related person); Relative Risks; Reporting; Risk; Solid Neoplasm; Structure of germinal center of lymph node; Surgical Management; Testing; Universities; Validation; bone; cancer prevention; cancer risk; clinical decision-making; computing resources; exome; exome sequencing; gain of function; genetic resource; genome sequencing; inhibitor/antagonist; innovation; insight; kindred; malignant breast neoplasm; novel; proband; protein protein interaction; risk variant; segregation

DESCRIPTION (provided by applicant): Multiple Myeloma is a malignant proliferation of monoclonal plasma cells that are derived from post-germinal-center B cells. Myeloma cells produce monoclonal paraproteins and cause lytic bone lesions, anemia and renal failure. Myeloma accounts for almost 14% of all hematologic cancers. Despite intensive study, the etiology of Multiple Myeloma is unknown. Reports of substantial familial clustering of myeloma cases have been reported, including by our own team. These data are consistent with the existence of specific risk genes that predispose to Familial Myeloma and associated malignancies. Analogous to the BRCA1 breast cancer constitutional risk gene, which affects treatment decisions (surgical management and PARP inhibitors), surveillance (annual breast MRI) and prevention (oophorectomy), identification of Familial Myeloma risk genes is likely to provide important new mechanistic insights that can also significantly impact important clinical decision making for both affected individuals and at-risk family members. Unfortunately, there are currently no known constitutional familial or sporadic myeloma risk genes. Here, we will use an innovative strategy incorporating previously untapped computational resources to discover and rigorously validate novel constitutional cancer risk genes in one of the largest Familial Myeloma clinical and genetic resources in the world. We will use an innovative tiered whole exome and full genome sequencing strategy of well- characterized Familial Myeloma probands and available biospecimens to help discover, prioritize and validate causative constitutional mutation candidates. Our overall goal is to discover and validate the first constitutional Familial Myeloma risk genes in clinically well- characterized kindreds. This is anticipated to increase the number of patients and their at-risk family members who can benefit from increased cancer surveillance, early detection and cancer prevention.

描述（由申请方提供）：多发性骨髓瘤是源自生殖后中心B细胞的单克隆浆细胞的恶性增殖。骨髓瘤细胞产生单克隆副蛋白，并导致溶骨性病变、贫血和肾衰竭。骨髓瘤几乎占所有血液系统癌症的14%。尽管深入研究，多发性骨髓瘤的病因是未知的。包括我们自己的团队在内，已经报道了大量骨髓瘤病例的家族聚集性报告。这些数据与家族性骨髓瘤和相关恶性肿瘤易感基因的存在是一致的。类似于BRCA1乳腺癌体质风险基因，影响治疗决策（手术管理和PARP抑制剂），监测（每年乳腺MRI）和预防（卵巢切除术），家族性骨髓瘤风险基因的鉴定可能提供重要的新机制见解，也可以显着影响受影响的个体和高危家庭成员的重要临床决策。不幸的是，目前还没有已知的体质性家族性或散发性骨髓瘤风险基因。在这里，我们将使用一种创新的策略，结合以前未开发的计算资源，在世界上最大的家族性骨髓瘤临床和遗传资源中发现并严格验证新的体质癌症风险基因。我们将使用一种创新的分层全外显子组和全基因组测序策略，对特征明确的家族性骨髓瘤先证者和可用的生物标本进行测序，以帮助发现、优先考虑和验证致病性体质突变候选者。我们的总体目标是发现和验证第一个宪法家庭 临床上特征明确的运动障碍中的骨髓瘤风险基因。预计这将增加患者及其高危家庭成员的数量，他们可以从增加的癌症监测，早期发现和癌症预防中受益。