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  1. Article: Population genetic tools: application to cancer.

    Gabriel, Stacey

    Seminars in oncology

    2007  Volume 34, Issue 2 Suppl 1, Page(s) S21–4

    Abstract: The availability of a reference human genome sequence, an increasingly dense catalog, knowledge of common genetic variation, and new developments in technology present an unprecedented opportunity to systematically explore the genetic basis of complex ... ...

    Abstract The availability of a reference human genome sequence, an increasingly dense catalog, knowledge of common genetic variation, and new developments in technology present an unprecedented opportunity to systematically explore the genetic basis of complex human diseases such as cancer. An understanding of the common mutations that can cause distinct human cancers will be critical for identifying new targets for drug discovery, patient stratification for clinical trials, and analysis of drug response data to delineate classes of patients that respond to therapy. The genome structure of cancer can be examined in several ways: (1) large-scale case-control or family studies can investigate germline mutations; and (2) state-of-the-art genomic technologies (eg, high-density oligonucleotide arrays and targeted re-sequencing), can identify somatic alterations. Combined, these approaches will lead to a better understanding of the cancer genome.
    MeSH term(s) Case-Control Studies ; Genetic Variation/genetics ; Genetics, Population ; Genome, Human/genetics ; Germ-Line Mutation/genetics ; Haplotypes/genetics ; Humans ; Mutation/genetics ; Neoplasms/genetics ; Oligonucleotide Array Sequence Analysis ; Polymorphism, Single Nucleotide/genetics ; Targeted Gene Repair
    Language English
    Publishing date 2007-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 189220-4
    ISSN 1532-8708 ; 0093-7754
    ISSN (online) 1532-8708
    ISSN 0093-7754
    DOI 10.1053/j.seminoncol.2007.01.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Variation in the human genome and the inherited basis of common disease.

    Gabriel, Stacey

    Seminars in oncology

    2006  Volume 33, Issue 6 Suppl 11, Page(s) S46–9

    Abstract: The availability of a reference human genome sequence-an increasingly dense catalog-knowledge of common genetic variation, and new developments in technology present an unprecedented opportunity to systematically explore the genetic basis of complex ... ...

    Abstract The availability of a reference human genome sequence-an increasingly dense catalog-knowledge of common genetic variation, and new developments in technology present an unprecedented opportunity to systematically explore the genetic basis of complex human diseases such as cancer. An understanding of the common mutations that can cause distinct human cancers will be critical for identifying new targets for drug discovery, patient stratification for clinical trials, and analysis of drug response data to delineate classes of patients that respond to therapy. The genome structure of cancer can be investigated in several ways. Germline mutations can be investigated in large-scale, case-control, or family studies. Somatic alternations can be identified using state-of-the-art genomic technologies such as high-density oligonucleotide arrays and targeted resequencing. Combined, these approaches will lead to a better understanding of the cancer genome.
    MeSH term(s) Gene Expression Profiling ; Genetic Predisposition to Disease ; Genetic Variation ; Genome, Human ; Haplotypes/genetics ; Humans ; Mutation/genetics ; Neoplasms/genetics ; Polymorphism, Genetic
    Language English
    Publishing date 2006-12
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 189220-4
    ISSN 1532-8708 ; 0093-7754
    ISSN (online) 1532-8708
    ISSN 0093-7754
    DOI 10.1053/j.seminoncol.2006.11.001
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  3. Article: Estimating epidemiologic dynamics from cross-sectional viral load distributions.

    Hay, James A / Kennedy-Shaffer, Lee / Kanjilal, Sanjat / Lennon, Niall J / Gabriel, Stacey B / Lipsitch, Marc / Mina, Michael J

    medRxiv : the preprint server for health sciences

    2021  

    Abstract: Estimating an epidemic's trajectory is crucial for developing public health responses to infectious diseases, but incidence data used for such estimation are confounded by variable testing practices. We show instead that the population distribution of ... ...

    Abstract Estimating an epidemic's trajectory is crucial for developing public health responses to infectious diseases, but incidence data used for such estimation are confounded by variable testing practices. We show instead that the population distribution of viral loads observed under random or symptom-based surveillance, in the form of cycle threshold (Ct) values, changes during an epidemic and that Ct values from even limited numbers of random samples can provide improved estimates of an epidemic's trajectory. Combining multiple such samples and the fraction positive improves the precision and robustness of such estimation. We apply our methods to Ct values from surveillance conducted during the SARS-CoV-2 pandemic in a variety of settings and demonstrate new approaches for real-time estimates of epidemic trajectories for outbreak management and response.
    Language English
    Publishing date 2021-02-13
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2020.10.08.20204222
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  4. Article ; Online: Evaluation of a Training Toolkit to Improve Clinicians' Skills for Dementia Advance Care Planning.

    Kistler, Christine E / Beeber, Anna S / Winzelberg, Gary S / Gabriel, Stacey L / Wretman, Christopher J / Hanson, Laura C

    Journal of palliative medicine

    2021  Volume 24, Issue 8, Page(s) 1183–1190

    Abstract: Background: ...

    Abstract Background:
    MeSH term(s) Advance Care Planning ; Advance Directives ; Communication ; Dementia/therapy ; Female ; Humans ; Male ; Patient Care Planning
    Language English
    Publishing date 2021-01-05
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Video-Audio Media
    ZDB-ID 1427361-5
    ISSN 1557-7740 ; 1096-6218
    ISSN (online) 1557-7740
    ISSN 1096-6218
    DOI 10.1089/jpm.2020.0638
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Estimating epidemiologic dynamics from cross-sectional viral load distributions.

    Hay, James A / Kennedy-Shaffer, Lee / Kanjilal, Sanjat / Lennon, Niall J / Gabriel, Stacey B / Lipsitch, Marc / Mina, Michael J

    Science (New York, N.Y.)

    2021  Volume 373, Issue 6552

    Abstract: Estimating an epidemic's trajectory is crucial for developing public health responses to infectious diseases, but case data used for such estimation are confounded by variable testing practices. We show that the population distribution of viral loads ... ...

    Abstract Estimating an epidemic's trajectory is crucial for developing public health responses to infectious diseases, but case data used for such estimation are confounded by variable testing practices. We show that the population distribution of viral loads observed under random or symptom-based surveillance-in the form of cycle threshold (Ct) values obtained from reverse transcription quantitative polymerase chain reaction testing-changes during an epidemic. Thus, Ct values from even limited numbers of random samples can provide improved estimates of an epidemic's trajectory. Combining data from multiple such samples improves the precision and robustness of this estimation. We apply our methods to Ct values from surveillance conducted during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in a variety of settings and offer alternative approaches for real-time estimates of epidemic trajectories for outbreak management and response.
    MeSH term(s) COVID-19/diagnosis ; COVID-19/epidemiology ; COVID-19/virology ; COVID-19 Nucleic Acid Testing ; Cross-Sectional Studies ; Epidemiological Monitoring ; Humans ; Incidence ; Models, Theoretical ; Pandemics ; SARS-CoV-2/physiology ; Viral Load
    Language English
    Publishing date 2021-06-03
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.abh0635
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Technological considerations for genome-guided diagnosis and management of cancer.

    Lennon, Niall J / Adalsteinsson, Viktor A / Gabriel, Stacey B

    Genome medicine

    2016  Volume 8, Issue 1, Page(s) 112

    Abstract: Technological, methodological, and analytical advances continue to improve the resolution of our view into the cancer genome, even as we discover ways to carry out analyses at greater distances from the primary tumor sites. These advances are finally ... ...

    Abstract Technological, methodological, and analytical advances continue to improve the resolution of our view into the cancer genome, even as we discover ways to carry out analyses at greater distances from the primary tumor sites. These advances are finally making the integration of cancer genomic profiling into clinical practice feasible. Formalin fixation and paraffin embedding, which has long been the default pathological biopsy medium, is now being supplemented with liquid biopsy as a means to profile the cancer genomes of patients. At each stage of the genomic data generation process-sample collection, preservation, storage, extraction, library construction, sequencing, and variant calling-there are variables that impact the sensitivity and specificity of the analytical result and the clinical utility of the test. These variables include sample degradation, low yields of nucleic acid, and low variant allele fractions (proportions of assayed molecules carrying variant allele(s)). We review here the most common pre-analytical and analytical factors relating to routine cancer patient genome profiling, some solutions to common challenges, and the major sample preparation and sequencing technology choices available today.
    MeSH term(s) Cytological Techniques/methods ; Gene Expression Profiling/methods ; Genome, Human/genetics ; Genomics/methods ; High-Throughput Nucleotide Sequencing/methods ; Humans ; Neoplasms/diagnosis ; Neoplasms/genetics ; Neoplasms/therapy ; Reproducibility of Results ; Sensitivity and Specificity ; Systems Integration
    Language English
    Publishing date 2016-10-26
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2484394-5
    ISSN 1756-994X ; 1756-994X
    ISSN (online) 1756-994X
    ISSN 1756-994X
    DOI 10.1186/s13073-016-0370-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Gene- and tissue-level interactions in normal gastrointestinal development and Hirschsprung disease.

    Chatterjee, Sumantra / Nandakumar, Priyanka / Auer, Dallas R / Gabriel, Stacey B / Chakravarti, Aravinda

    Proceedings of the National Academy of Sciences of the United States of America

    2019  Volume 116, Issue 52, Page(s) 26697–26708

    Abstract: The development of the gut from endodermal tissue to an organ with multiple distinct structures and functions occurs over a prolonged time during embryonic days E10.5-E14.5 in the mouse. During this process, one major event is innervation of the gut by ... ...

    Abstract The development of the gut from endodermal tissue to an organ with multiple distinct structures and functions occurs over a prolonged time during embryonic days E10.5-E14.5 in the mouse. During this process, one major event is innervation of the gut by enteric neural crest cells (ENCCs) to establish the enteric nervous system (ENS). To understand the molecular processes underpinning gut and ENS development, we generated RNA-sequencing profiles from wild-type mouse guts at E10.5, E12.5, and E14.5 from both sexes. We also generated these profiles from homozygous
    Language English
    Publishing date 2019-12-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.1908756116
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  8. Article ; Online: Interaction molecular QTL mapping discovers cellular and environmental modifiers of genetic regulatory effects.

    Kasela, Silva / Aguet, François / Kim-Hellmuth, Sarah / Brown, Brielin C / Nachun, Daniel C / Tracy, Russell P / Durda, Peter / Liu, Yongmei / Taylor, Kent D / Johnson, W Craig / Van Den Berg, David / Gabriel, Stacey / Gupta, Namrata / Smith, Joshua D / Blackwell, Thomas W / Rotter, Jerome I / Ardlie, Kristin G / Manichaikul, Ani / Rich, Stephen S /
    Barr, R Graham / Lappalainen, Tuuli

    American journal of human genetics

    2024  Volume 111, Issue 1, Page(s) 133–149

    Abstract: Bulk-tissue molecular quantitative trait loci (QTLs) have been the starting point for interpreting disease-associated variants, and context-specific QTLs show particular relevance for disease. Here, we present the results of mapping interaction QTLs ( ... ...

    Abstract Bulk-tissue molecular quantitative trait loci (QTLs) have been the starting point for interpreting disease-associated variants, and context-specific QTLs show particular relevance for disease. Here, we present the results of mapping interaction QTLs (iQTLs) for cell type, age, and other phenotypic variables in multi-omic, longitudinal data from the blood of individuals of diverse ancestries. By modeling the interaction between genotype and estimated cell-type proportions, we demonstrate that cell-type iQTLs could be considered as proxies for cell-type-specific QTL effects, particularly for the most abundant cell type in the tissue. The interpretation of age iQTLs, however, warrants caution because the moderation effect of age on the genotype and molecular phenotype association could be mediated by changes in cell-type composition. Finally, we show that cell-type iQTLs contribute to cell-type-specific enrichment of diseases that, in combination with additional functional data, could guide future functional studies. Overall, this study highlights the use of iQTLs to gain insights into the context specificity of regulatory effects.
    MeSH term(s) Humans ; Quantitative Trait Loci/genetics ; Gene Expression Regulation ; Genotype ; Phenotype
    Language English
    Publishing date 2024-01-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 219384-x
    ISSN 1537-6605 ; 0002-9297
    ISSN (online) 1537-6605
    ISSN 0002-9297
    DOI 10.1016/j.ajhg.2023.11.013
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  9. Article ; Online: Diet Quality Scores Are Positively Associated with Whole Blood-Derived Mitochondrial DNA Copy Number in the Framingham Heart Study.

    Ma, Jiantao / Liu, Xue / Zhang, Yuankai / Cheng, Hanning / Gao, Wencheng / Lai, Chao-Qiang / Gabriel, Stacey / Gupta, Namrata / Vasan, Ramachandran S / Levy, Daniel / Liu, Chunyu

    The Journal of nutrition

    2022  Volume 152, Issue 3, Page(s) 690–697

    Abstract: Background: The association between diet quality and mitochondrial DNA copy number (mtDNA-CN) remains to be examined.: Objectives: We aimed to study the relation between diet quality and mtDNA-CN.: Methods: We analyzed data from 2931 Framingham ... ...

    Abstract Background: The association between diet quality and mitochondrial DNA copy number (mtDNA-CN) remains to be examined.
    Objectives: We aimed to study the relation between diet quality and mtDNA-CN.
    Methods: We analyzed data from 2931 Framingham Heart Study (FHS) participants (mean age of 57 y, 55% females). Whole-genome sequencing was used to calculate mtDNA-CN from whole-blood samples. We examined the cross-sectional associations between 3 diet quality scores, the Dietary Approaches to Stop Hypertension (DASH) score, the Alternative Healthy Eating Index (AHEI), and the Mediterranean diet score (MDS), and mtDNA-CN. Linear mixed models were used to account for maternal lineage.
    Results: We observed that a higher DASH score was positively associated with mtDNA-CN after adjusting for sex, age, energy intake, smoking status, alcohol intake, and physical activity level. A 1-SD increase in the DASH score was associated with a 0.042-SD greater mtDNA-CN (95% CI: 0.007, 0.077; P = 0.02). Similarly, for each SD increase in AHEI and MDS, the mtDNA-CN SD increased by 0.056 (95% CI: 0.019, 0.092; P = 0.003) and 0.047 (95% CI: 0.01, 0.083; P = 0.01), respectively. Diet quality scores were associated with neutrophil and lymphocyte counts but not platelet counts, e.g., for a 1-SD increase in the DASH, neutrophils decreased by 0.8% (95% CI: 0.5%, 1.1%; P = 4.1 × 10-6), lymphocytes increased by 0.7% (95% CI: 0.4%, 1%, P = 1.2 × 10-5), and there was no significant change in platelet number (0.1 × 1000/μL; 95% CI: -1.6, 1.9; P = 0.89). Further adjustment for neutrophil, lymphocyte, and platelet counts and the associations between diet quality scores and mtDNA-CN were completely attenuated to nonsignificant (P = 0.95, 0.54, and 0.91, respectively).
    Conclusions: We observed that higher diet quality is associated with a greater whole-blood derived mtDNA-CN in middle-aged to older adult FHS participants, and that blood cell composition, particularly neutrophil counts, attenuated the association between diet quality and mtDNA-CN.
    MeSH term(s) Aged ; Cross-Sectional Studies ; DNA Copy Number Variations ; DNA, Mitochondrial/genetics ; Diet, Mediterranean ; Female ; Humans ; Longitudinal Studies ; Male ; Middle Aged
    Chemical Substances DNA, Mitochondrial
    Language English
    Publishing date 2022-05-19
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 218373-0
    ISSN 1541-6100 ; 0022-3166
    ISSN (online) 1541-6100
    ISSN 0022-3166
    DOI 10.1093/jn/nxab418
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  10. Article ; Online: Efficient prevalence estimation and infected sample identification with group testing for SARS-CoV-2

    Cleary, Brian / Hay, James A / Blumenstiel, Brendan / Gabriel, Stacey / Regev, Aviv / Mina, Michael J

    medRxiv

    Abstract: The ongoing pandemic of SARS-CoV-2, a novel coronavirus, caused over 3 million reported cases of coronavirus disease 2019 (COVID-19) and 200,000 reported deaths between December 2019 and April 2020. Cases and deaths will increase as the virus continues ... ...

    Abstract The ongoing pandemic of SARS-CoV-2, a novel coronavirus, caused over 3 million reported cases of coronavirus disease 2019 (COVID-19) and 200,000 reported deaths between December 2019 and April 2020. Cases and deaths will increase as the virus continues its global march outward. In the absence of effective pharmaceutical interventions or a vaccine, wide-spread virological screening is required to inform where restrictive isolation measures should be targeted and when they can be lifted. However, limitations on testing capacity have restricted the ability of governments and institutions to identify individual clinical cases, appropriately measure community prevalence, and mitigate transmission. Group testing offers a way to increase efficiency, by combining samples and testing a small number of pools. Here, we evaluate the effectiveness of group testing designs for individual identification or prevalence estimation of SARS-CoV-2 infection when testing capacity is limited. To do this, we developed mathematical models for epidemic spread, incorporating empirically measured individual-level viral kinetics to simulate changing viral loads in a large population over the course of an epidemic. We used these to construct representative populations and assess pooling strategies for community screening, accounting for variability in viral load samples, dilution effects, changing prevalence and resource constraints. We confirmed our group testing framework through pooled tests on de-identified human nasopharyngeal specimens with viral loads representative of the larger population. We show that group testing designs can both accurately estimate overall prevalence using a small number of measurements and substantially increase the identification rate of infected individuals in resource-limited settings.
    Keywords covid19
    Language English
    Publishing date 2020-05-06
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.05.01.20086801
    Database COVID19

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