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12 Resultados de la búsqueda.

Eligibility Bloodstream Infection in Cancer Patient DRKS00003368 NCT01544686 DRKS00003368 - Eligibility Bloodstream Infection in Cancer Patient NCT01544686 DRKS00003368

- 04-07-17 - 1 formulario, 2 itemgroups, 15 items, 1 idioma

Itemgroups: Inclusion Criteria, Exclusion Criteria

Responsible Party: Maria J.G.T. Vehreschild, Principal Investigator, University of Cologne ClinicalTrials.gov Identifier: NCT01544686 History of Changes Other Study ID Numbers: DRKS00003368 Study First Received: February 22, 2012 Last Updated: December 8, 2015 Antimicrobial Catheter Securement Dressings for the Prevention of Cvc-related Bloodstream Infections in Cancer Patients (COAT) ODM derived from: https://clinicaltrials.gov/ct2/show/NCT01544686

dbGaP phs001179 Foundation Medicine Adult Cancer Clinical Dataset (FM-AD) - Eligibility

- 29-05-23 - 3 formularios, 1 itemgroup, 1 item, 1 idioma

Itemgroup: IG.elig

Principal Investigator: Doron Lipson, PhD, Foundation Medicine Inc., Cambridge, MA, USA MeSH: Neoplasms,Thoracic Neoplasms,Digestive System Neoplasms,Breast Neoplasms,Urogenital Neoplasms,Endocrine Gland Neoplasms,Nervous System Neoplasms,Skin Neoplasms,Head and Neck Neoplasms,Abdominal Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001179 The Foundation Medicine adult cancer clinical dataset consists of 18,004 unique solid tumor samples that underwent genomic profiling on a single uniform platform as part of standard clinical care. The dataset is derived from the FoundationOne® genomic profiling assay version 2 that interrogates exonic regions of 287 cancer-related genes and selected introns from 19 genes known to undergo rearrangements in human cancer. Genomic DNA samples were sequenced to over 500x median coverage, and custom computational analyses identified all classes of genomic alterations (base substitutions, insertions and deletions, copy number alterations, and rearrangements). Since matched normal tissue was unavailable for analysis, these data underwent additional filtering to enrich for cancer-related events. The reported data includes genomic alterations that are known and suspected tumor drivers, as well as variants of unknown significance. To preserve patient anonymity, all known or suspected germline variants were removed from the data unless known to be associated with cancer development. The dataset contains genomic alteration profiles generated by FoundationOne version 2 testing for adult cancer patients (over 18 y.o.), and represents a vast diversity of tumor subtypes, including many rare diseases not profiled as part of large-scale profiling efforts. Cases are grouped into 16 broad disease categories containing tumors from 162 unique disease subtypes. Since specimens were profiled as part of clinical care, limited clinical parameters were available, including age, gender, tissue of origin, % of tumor nuclei, and diagnosis. Publication of this dataset is intended to allow the broad scientific community access to this unique cohort for use in scientific research projects of common and rare types of cancer, both for generating leads regarding causal mechanisms as well as cross-testing and confirming existing hypotheses. A pediatric cancer clinical dataset consisting of data from 1,215 patients under 18 y.o. is available separately at: FOUNDATION MEDICINE

pht005673.v1.p1

1 itemgroup 2 items

pht005668.v1.p1

1 itemgroup 2 items

dbGaP phs000827 N.C. Clinical Genomic Evaluation by NextGen Exome Sequencing (NCGENES) - Eligibility

- 04-03-24 - 5 formularios, 1 itemgroup, 8 items, 1 idioma

Itemgroup: IG.elig

Principal Investigator: James P. Evans, MD, PhD, University of North Carolina, Chapel Hill, NC, USA MeSH: Genetic Diseases, Inborn,Neoplasms,Adenomatous Polyposis Coli,Microcephaly,Aortic Aneurysm, Thoracic,Peripheral Nervous System Diseases,Cardiomyopathies,Leukodystrophy, Globoid Cell,Seizures,Mitochondria,Inflammation,Autoimmune Diseases,Progeria,Retina,Muscular Diseases,Rhabdomyolysis,Arrhythmias, Cardiac,Osteochondrodysplasias,Intellectual disability,Autistic Disorder,Neuromuscular Diseases,Paraplegia,Central Nervous System Diseases,Cholestasis,Anemia,Genetic Testing https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000827 North Carolina Clinical Genomic Evaluation by Next-generation Exome Sequencing This study is part of a larger consortium project investigating the validity and best use of next-generation sequencing (in particular, whole exome sequencing, or WES) in clinical care. Participants are patients who were either seen in the UNC Cancer and Adult Genetics Clinic or referred to the study by their physician. They will be approached by their physician or a genetic counselor for recruitment. Once enrolled, a clinical geneticist or genetic counselor will obtain consent and collect blood samples to be analyzed using WES. Results may include information related to a diagnosis and incidental information. Medically actionable incidental findings will be CLIA-certified and returned to participants in a routine genetic counseling session, along with diagnostic findings. Eligible adult participants will be randomized to have the opportunity to choose to get certain types of non-medically actionable incidental findings, as well. Their decisions will be investigated, as will psychosocial and behavioral responses to sequencing and receiving sequencing information. This is a longitudinal, mixed methods study (i.e., multiple assessments pre- and post-return of results, with both quantitative and qualitative methods used to gather data). Because only the quantitative component of the study uses randomization, only measures and procedures associated with that component are included here. The third study release includes data of additional n=189 subjects.

pht004472.v3.p1

1 itemgroup 7 items

pht004469.v3.p1

1 itemgroup 5 items

pht004470.v3.p1

1 itemgroup 5 items

pht004471.v3.p1

1 itemgroup 7 items

dbGaP phs000725 Rare Cancer Tumors Project - pht003882.v2.p1

- 06-01-23 - 9 formularios, 1 itemgroup, 5 items, 1 idioma

Itemgroup: pht003882

Principal Investigator: David A. Wheeler, PhD, Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA MeSH: Neoplasms,Brain Neoplasms,Germinoma,Neoplasms, Germ Cell and Embryonal,Endodermal Sinus Tumor,Teratoma,Carcinoma, Embryonal,Choriocarcinoma,Polycythemia Vera,Craniopharyngioma https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000725 A large proportion of common cancers affecting patients around the world have been selected for comprehensive cancer genome studies. Further efforts will be needed to tackle the remaining tumor types, including the rare forms of cancers. Although rare, these cancers tend to be more aggressive and fast growing with an early recurrence following initial chemotherapy and poor prognosis. Besides, patients diagnosed with rare cancers may have difficulty finding a physician knowledgeable in treating their type of cancer. While sample collection is a major challenge, the integrated genomic analyses would identify novel causative genes in these rare cancers, shed new light on the biology of the rare cancers, as well as guide novel targeted cancer therapies. Through efficient collaboration, the Human Genome Sequencing Center (HGSC) at Baylor College of Medicine (BCM) has collected/is expected to collect 20 different types of rare cancers, 15-30 cases each. Whole-exome sequencing and high-resolution SNP array analysis were/will be performed for all cases and whole-genome sequencing was designed for a selected subset of the cases. *The Rare Cancer Tumors Cohort is utilized in the following dbGaP sub-studies.* To view genotypes, other molecular data, and derived variables collected in this sub-study, please click on the following sub-study below or in the "Sub-studies" section of this top-level study page phs000725 Rare Cancer Tumors Cohort.- phs000754 Intracranial Germ Cell Tumors - phs000861 Craniopharyngioma Tumors - phs000859 Sezary Syndrome Genomic Analysis

pht003885.v2.p1

1 itemgroup 3 items

pht003886.v2.p1

1 itemgroup 5 items

pht004475.v2.p1

1 itemgroup 4 items

pht004476.v2.p1

1 itemgroup 6 items

pht004585.v2.p1

1 itemgroup 5 items

Eligibility

1 itemgroup 1 item

dbGaP phs000428 Health and Retirement Study (HRS) - pht005036.v1.p2

- 29-01-25 - 6 formularios, 1 itemgroup, 4 items, 1 idioma

Itemgroup: pht005036

Principal Investigator: David Weir, PhD, University of Michigan, Ann Arbor, MI, USA MeSH: Aging,Neoplasms,Arthritis,Lung Diseases, Obstructive,Dementia,Heart Diseases,Heart Failure,Hypertension,Myocardial Infarction,Diabetes Mellitus,Hypercholesterolemia,Obesity,Body Weight,Mobility Limitation,Pain,Cholesterol,Hemoglobin A, Glycosylated,C-Reactive Protein,Cystatin C,Depression,Alcohol Drinking,Smoking,Personality,Life Style,Cognition,Demography,Ethnic Groups,Health Status,Population Groups,Housing,Independent Living,Socioeconomic Factors,Career Mobility,Educational Status,Employment,Family Characteristics,Income,Occupations,Poverty,Social Change,Social Class,Social Conditions,Risk Factors https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000428 *Introduction to V2: *This data release comprises data from the V1 release combined with approximately 3,000 additional samples, collected during the HRS 2010 field period. The 2010 data include samples from a random half of the new cohort enrolled in 2010 along with a significant expansion of the minority sample. *Description:* The University of Michigan Health and Retirement Study (HRS) is a longitudinal panel study that surveys a representative sample of approximately 20,000 people in America over the age of 50 every two years. Supported by the National Institute on Aging (NIA U01AG009740) and the Social Security Administration, the HRS explores the changes in labor force participation and the health transitions that individuals undergo toward the end of their work lives and in the years that follow. The study collects information about income, work, assets, pension plans, health insurance, disability, physical health and functioning, cognitive functioning, and health care expenditures. Through its unique and in-depth interviews, the HRS provides an invaluable and growing body of multidisciplinary data that researchers can use to address important questions about the challenges and opportunities of aging. Because of its innovation and importance, the HRS has become the model and hub for a growing network of harmonized longitudinal aging studies around the world. *Origins of the HRS.* As the population ages it is increasingly important to obtain reliable data about aging and topics that are relevant to a range of policy issues in aging. To address this need, the National Institutes on Aging (NIA) established a cooperative agreement with the University of Michigan Institute for Social Research to collect such data. The HRS launched data collection in 1992 and has re-interviewed the original sample of respondents every two years since then. By adding new cohorts and refreshing the sample, the HRS has grown to become the largest, most representative longitudinal panel study of Americans 50 years and older. *HRS Study Design.* The target population for the original HRS cohort includes all adults in the contiguous United States born during the years 1931-1941 who reside in households, with a 2:1 oversample of African-American and Hispanic populations. The original sample is refreshed with new birth cohorts (51-56 years of age) every six years. The sample has been expanded over the years to include a broader range of birth cohorts as well. The target population for the AHEAD survey consists of United States household residents who were born in 1923 or earlier. Children of the Depression (CODA) recruits households born 1924-1930, War Babies 1942-47, Early Boomers 1948-53, and Mid-Boomers 1954-59. Data collection includes a mixed mode design combining in-person, telephone, mail, and Internet. For consenting respondents, HRS data are linked at the individual level to administrative records from Social Security and Medicare claims. *Genetic Research in the HRS.* The HRS has genotyped 2.5 million single nucleotide polymorphisms (SNPs) on respondents using Illumina's Human Omni2.5-Quad (Omni2.5) BeadChip. The genotyping was performed by the NIH Center for Inherited Disease Research (CIDR). Saliva was collected on half of the HRS sample each wave starting in 2006. In 2006, saliva was collected using a mouthwash collection method. From 2008 onward, the data collection method switched to the Oragene kit. Saliva completion rates were 83% in 2006, 84% in 2008, and 80% in 2010 among new cohort enrollees. HRS Phenotypic data. Phenotypic data are available on a variety of dimensions. Health measures include physical/psychological self-report, various health conditions, disabilities, cognitive performance, health behaviors (smoking, drinking, exercise), physical performance and anthropomorphic measures, and biomarkers (HbA1c, Total Cholesterol, HDL, CRP, Cystatin-C). Data are also available on health services including utilization, insurance and out-of-pocket spending with linkage to Medicare records. Economic measures include employment status/history, earnings, disability, retirement, type of work, income by source, wealth by asset type, capital gains/debt, consumption, linkage to pensions, Social Security earnings/benefit histories. There is also extensive information on family structure, proximity, transfers to/from of money, time, social and psychological characteristics, as well as a wide range of demographics. Performance on a cognitive test combining immediate and delayed word recall was selected as an example trait for the dbGaP data release. In the immediate word recall task the interviewer reads a list of 10 nouns to the respondent and asks the respondent to recall as many words as possible from the list in any order. After approximately five minutes of asking other survey questions, the respondent is asked to recall the nouns previously presented as part of the immediate recall task. The total recall score is the sum of the correct answers to these two tasks, with a range of 0 to 20. Researchers who wish to link to other HRS measures not in dbGaP will be able to apply for access from HRS. A separate Data Use Agreement (DUA) will be required for linkage to the HRS data. See the HRS website (http://hrsonline.isr.umich.edu/gwas) for details.

Eligibility

1 itemgroup 6 items

pht002612.v2.p2

1 itemgroup 4 items

pht002613.v2.p2

1 itemgroup 5 items

pht002614.v2.p2

1 itemgroup 7 items

pht005037.v1.p2

1 itemgroup 5 items

dbGaP phs000397 NIA Long Life Family Study (LLFS) - Eligibility

- 12-10-22 - 6 formularios, 1 itemgroup, 3 items, 1 idioma

Itemgroup: IG.elig

Principal Investigator: Michael A. Province, PhD, Washington University School of Medicine, St. Louis, MO, USA MeSH: Longevity,Aging,Cardiovascular Diseases,Neoplasms,Stroke,Inflammation,Immune System,Diabetes Mellitus,Hypertension,Dyslipidemias,Lipids,Osteoporosis,Pulmonary Function Tests,Kidney Function Tests,Alzheimer Disease,Depression,Personality,Executive Function,Reproductive History https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000397 The Long Life Family Study (LLFS) is an international collaborative study of the genetics and familial components of exceptional survival, longevity, and healthy aging. Families were recruited through elderly probands (generally in their 90s) who self-reported on the survival history of their parents and siblings, and on the basis of this information, families which showed clustering of exceptional survival were recruited. [Specifically, a Family Longevity Selection Score (FLOSS) ≥7 was required. The FLOSS measures the average excess Observed lifespan over that Expected based upon lifetables, while adding a bonus term for still-living individuals. Thus FLOSS is a useful tool for scoring and selecting families for inclusion in a research study of exceptional survival (Sebastiani et al., 2009, PMID: 19910380)]. Probands resided in the catchment areas of four Field Centers (Boston University, Columbia University, University of Pittsburgh, and University of Southern Denmark). Recruited family members were phenotyped through extensive in-home visits by teams of technicians who traveled all over the USA and Denmark. Blood assays were centrally processed at a Laboratory Core (University of Minnesota) and protocols were standardized, monitored and coordinated through a Data Management Coordinating Center (Washington University). We examined and extensively phenotyped in all major domains of healthy aging, 4,953 individuals in 539 families through comprehensive in-home visits. Of these, 4,815 gave dbGaP sharing permission and had sufficient quantity/quality of DNA for GWAS genotyping. This large collection of families, selected on the basis of clustering for exceptional survival, is a unique resource for the study of human longevity and healthy aging. We estimate that less than 1% of the Framingham Heart Study (FHS) families (a roughly random population family sample) would meet the minimal entrance criteria for exceptional survival required in the LLFS (Sebastiani et al., 2009, PMID: 19910380). Thus, the least exceptional LLFS families show more clustering for exceptional longevity than 99% of the FHS families. Although the LLFS pedigrees were selected on the basis of longevity per se in the upper generation (and the generation above that), the children's generation have significantly lower rates of many major diseases and have better healthy aging profiles for many disease phenotypes (Newman et al., 2011, PMID: 21258136). The participants had their first in-person visit between 2006 and 2009. After that visit, they were contacted annually by telephone to update vital status, medical history, and general health. Between 2014 and 2017, willing participants completed a second in-person visit. The second visit followed the same protocols and centralized training as the first visit. During the second visit, a portable carotid ultrasound exam was added. Again, participants were continuously contacted annually for telephone follow-up during the period of the second in-person visit and after that. Annual telephone follow-ups currently ongoing, and plans for a third in-person visit are in progress.

pht002407.v3.p3

1 itemgroup 4 items

pht002408.v3.p3

1 itemgroup 6 items

pht002410.v3.p3

1 itemgroup 106 items

pht003356.v3.p3

1 itemgroup 4 items

pht002409.v3.p3

1 itemgroup 3 items

dbGaP phs000495 The Gene Partnership (TGP) - eMERGE Data - Eligibility

- 13-12-22 - 5 formularios, 1 itemgroup, 7 items, 1 idioma

Itemgroup: IG.elig

Principal Investigator: Isaac S. Kohane, MD, PhD, Boston Children's Hospital, Boston, MA, USA MeSH: Autistic Disorder,Heart Defects, Congenital,Asthma,Attention Deficit Disorders,Diabetes Mellitus, Type 1,Diabetes Mellitus, Type 2,Epilepsy,Gastrointestinal Diseases,Hypersensitivity,Autoimmune Diseases,Hematologic Diseases,Neoplasms,Arrhythmias, Cardiac,Chromosome Aberrations,Congenital Abnormalities,Dermatology,Developmental Disabilities,Endocrine System,Otolaryngology,Syndrome,Urogenital System,Hearing Loss,Immune System Diseases,Musculoskeletal Abnormalities,Nervous System Diseases,Neuromuscular Diseases,Metabolic Diseases,Nutrition Disorders,Vision Disorders,Mouth Diseases,Mental Disorders,Kidney Diseases,Respiration Disorders,Thyroid Diseases,Vascular Diseases https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000495 The Gene Partnership (TGP) is a prospective longitudinal registry at Boston Children's Hospital (BCH) to study the genetic and environmental contributions to childhood health and disease, collect genetic information on a large number of children who have been phenotyped, and implement the Informed Cohort and the Informed Cohort Oversight Board (ICOB). The term "*The Gene Partnership*" reflects a partnership between researchers and participants. Children seen at BCH are offered enrollment, as are their parents and siblings. DNA is collected on all enrollees. BCH has a comprehensive EMR system, and virtually all inpatient and outpatient data are captured electronically. Clinical data in the BCH EMR is loaded in the i2b2 data warehouse which is available to investigators. Cases, phenotypes, and covariates are ascertained using the i2b2 database. Participants at BCH in TGP have consented to receive any research result and/or incidental finding that arises from studies using TGP that is approved by the Informed Cohort Oversight Board (ICOB) and is in accordance with the participants' preferences; results are returned through the Personally Controlled Health Record (PCHR). BCH and Cincinnati Children's Hospital Medical Center (CCHMC) have partnered as the *P*ediatric *A*lliance for *G*enomic and *E*lectronic Medical Record (EMR) *R*esearch (*PAGER*) site for the eMERGE Phase II network for pediatric institutions, and the cohort for eMERGE at BCH is TGP.

pht002864.v1.p1

1 itemgroup 4 items

pht002865.v1.p1

1 itemgroup 5 items

pht002866.v1.p1

1 itemgroup 42 items

pht002867.v1.p1

1 itemgroup 4 items

Bladder Cancer NCT01224665 Treatment - S1011 Intra-Op Surgical Assessment Form Standard Versus Extended LND (#10689) - 3153877v1.0 - S1011 Intra-Op Surgical Assessment Form Standard Versus Extended LND (#10689)

- 09-01-15 - 1 formulario, 7 itemgroups, 43 items, 1 idioma

Itemgroups: Header Module, INTRA-OPERATIVE EXTENT-OF-DISEASE ASSESSMENT, SURGICAL ASSESSMENT OF NODAL DISSECTION, DESCRIPTION OF HOW NODAL PACKETS WERE SUBMITTED TO YOUR PATHOLOGIST, RECONSTRUCTION, OPERATIVE INFORMATION, Comments

S1011 Intra-Op Surgical Assessment Form Standard Versus Extended LND (#10689) Standard or Extended Pelvic Lymphadenectomy in Treating Patients Undergoing Surgery for Invasive Bladder Cancer Source Form: NCI FormBuilder: https://formbuilder.nci.nih.gov/FormBuilder/formDetailsAction.do?method=getFormDetails&formIdSeq=940453E3-434E-BBC7-E040-BB89AD431F9F

Cancer GI Neoplasm Polyp Report Form GSK study Chronic Coronary Heart Disease NCT00799903

- 01-01-18 - 1 formulario, 6 itemgroups, 32 items, 1 idioma

Itemgroups: Involvement of gastrointestinal system, Type of cancer, GI neoplasm or GI polyp diagnosis, New cancer or Recurrence or progression of cancer details, Benign GI polyps / neoplasms, Required source documents sent, CEC Status

Study ID: 100601 Clinical Study ID: LPL100601 Study Title: LPL100601, A Clinical Outcomes Study of Darapladib versus Placebo in Subjects with Chronic Coronary Heart Disease to Compare the Incidence of Major Adverse Cardiovascular Events (MACE) Patient Level Data: Study Listed on ClinicalStudyDataRequest.com Clinicaltrials.gov Identifier: NCT00799903 Sponsor: GlaxoSmithKline Collaborators: N/A Phase: phase 3 Study Recruitment Status: Completed Generic Name: darapladib Trade Name: darapladib Study Indication: Atherosclerosis Study part: Cancer / GI Neoplasm / Polyp Report Form (CNP) - Repeating form (Scheduled visits)

Cancer Report Form Repeating form GSK study Chronic Coronary Heart Disease NCT00799903

- 01-01-18 - 1 formulario, 5 itemgroups, 23 items, 1 idioma

Itemgroups: Diagnosis of cancer, New cancer details, Recurrence of cancer details, Metastatic cancer details, Hospitalisation related to diagnosis

Study ID: 100601 Clinical Study ID: LPL100601 Study Title: LPL100601, A Clinical Outcomes Study of Darapladib versus Placebo in Subjects with Chronic Coronary Heart Disease to Compare the Incidence of Major Adverse Cardiovascular Events (MACE) Patient Level Data: Study Listed on ClinicalStudyDataRequest.com Clinicaltrials.gov Identifier: NCT00799903 Sponsor: GlaxoSmithKline Collaborators: N/A Phase: phase 3 Study Recruitment Status: Completed Generic Name: darapladib Trade Name: darapladib Study Indication: Atherosclerosis Study part: Cancer Report Form - Repeating form (Scheduled visits)

Other Medical Conditions GSK study Chronic Coronary Heart Disease NCT00799903

- 12-12-17 - 1 formulario, 3 itemgroups, 18 items, 1 idioma

Itemgroups: Other medical conditions, History of cancer, Other history of cancer

Study ID: 100601 Clinical Study ID: LPL100601 Study Title: LPL100601, A Clinical Outcomes Study of Darapladib versus Placebo in Subjects with Chronic Coronary Heart Disease to Compare the Incidence of Major Adverse Cardiovascular Events (MACE) Patient Level Data: Study Listed on ClinicalStudyDataRequest.com Clinicaltrials.gov Identifier: NCT00799903 Sponsor: GlaxoSmithKline Collaborators: N/A Phase: phase 3 Study Recruitment Status: Completed Generic Name: darapladib Trade Name: darapladib Study Indication: Atherosclerosis Study part: Other Medical Conditions

dbGaP phs000942 Use of WGS for Diagnosis and Discovery in the Cancer Genetics Clinic - Eligibility

- 27-11-24 - 5 formularios, 1 itemgroup, 1 item, 1 idioma

Itemgroup: IG.elig

Principal Investigator: Theodora S. Ross, MD, PhD, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA, and Department of Cancer Genetics, UT Southwestern Medical Center, Dallas, TX, USA MeSH: Neoplasms,Breast Neoplasms,Ovarian Neoplasms,Peritoneal Neoplasms,Skin Neoplasms,Esophageal Neoplasms,Thyroid Neoplasms,Urinary Bladder Neoplasms,Endometrial Neoplasms,Fallopian Tube Neoplasms,Melanoma,Testicular Neoplasms,Bile Duct Neoplasms,Lung Neoplasms,Colonic Neoplasms,Adrenocortical Carcinoma,Carcinoma, Renal Cell,Colonic Polyps,Adenomatous Polyposis Coli,Lymphoma, Large B-Cell, Diffuse,Pheochromocytoma,Paraganglioma,Leiomyoma,Hemangioblastoma,Hyperparathyroidism,Pancreatic Neoplasms,Vulvar Neoplasms,Brain Neoplasms,Liver Neoplasms,Kidney Neoplasms,Prostatic Neoplasms,Glioblastoma,Oncocytoma, renal https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000942 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. "Reprinted from doi:10.1016/j.ebiom.2014.12.003, with permission from EBioMedicine."

pht004834.v1.p1

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pht004835.v1.p1

1 itemgroup 5 items

pht004836.v1.p1

1 itemgroup 16 items

pht004837.v1.p1

1 itemgroup 5 items

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