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Main|Search|PHGKB
Last
Posted:
Nov 08, 2018
- A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data.
Ainscough Benjamin J et al. Nature genetics 2018 Nov
- A predictive model for high/low risk group according to oncotype DX recurrence score using machine learning.
Kim Isaac et al. European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology 2018 Oct
- Alzheimer's Biomarkers From Multiple Modalities Selectively Discriminate Clinical Status: Relative Importance of Salivary Metabolomics Panels, Genetic, Lifestyle, Cognitive, Functional Health and Demographic Risk Markers.
Sapkota Shraddha et al. Frontiers in aging neuroscience 2018 10296
- Associations between polygenic risk scores for four psychiatric illnesses and brain structure using multivariate pattern recognition.
Ranlund Siri et al. NeuroImage. Clinical 2018 Oct 201026-1036
- Contributions of Public Health in Reducing the Population Burden of Familial Hypercholesterolemia: Challenges and Opportunities
MJ Khoury et al, CDC Blog Post, October 17, 2018
- Promise of Precision Medicine in Psychiatry Nears Reality
L Davenport, Medscape, October 1o, 2018
- Genetic signature to provide robust risk assessment of psoriatic arthritis development in psoriasis patients
MT Patrick et al, Nature Communications, October 9, 2018
- ClinPred: Prediction Tool to Identify Disease-Relevant Nonsynonymous Single-Nucleotide Variants.
Alirezaie Najmeh et al. American journal of human genetics 2018 Sep
- A machine learning approach for somatic mutation discovery.
Wood Derrick E et al. Science translational medicine 2018 Sep 10(457)
- AI will improve healthcare and cut costs - if we get these 4 things right
F Liebert, World Economic Forum, August 2018
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Information in Various Databases
From
Genomics &
Health Impact Scan Database
This database includes published
scientific literature on evidence-based translation of genomic
discoveries into improved health care and disease prevention
that have a potential impact on population health.
Get Records
From
Genomics &
Health Impact Scan Database
This database includes published
scientific literature on evidence-based translation of genomic
discoveries into improved health care and disease prevention
that have a potential impact on population health.
Get Records
From
Genomics &
Health Impact Scan Database
This database includes published
scientific literature on evidence-based translation of genomic
discoveries into improved health care and disease prevention
that have a potential impact on population health.
Get Records
From
Genomics &
Health Impact Scan Database
This database includes published
scientific literature on evidence-based translation of genomic
discoveries into improved health care and disease prevention
that have a potential impact on population health.
Get Records
From
Genomics &
Health Impact Scan Database
This database includes published
scientific literature on evidence-based translation of genomic
discoveries into improved health care and disease prevention
that have a potential impact on population health.
Get Records
From
From Advanced
Molecular Detection Clips Database
This database includes published
scientific literature, popular press articles, tools, and
databases on the emerging role of pathogen genomics and
host-pathogen interactions in infectious disease control and
prevention. It includes information on methods, evolution and
pathogenicity, detection and diagnosis, outbreaks, epidemiology
and transmission, antimicrobials, and vaccines and host-pathogen
interactions.
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From
GRANTOMICS
GRANTOMICS is a search engine and analysis tool for grant information associated with published literature on evidence-based translation of genomics discoveries into improved health care and disease prevention, and human genome epidemiology.The literature information is from Genomics & Health Impact Scan Database and HuGE Literature Finder Database.The grant information is extracted from the grant data in PubMed records and NIH RePORT. Grant information can be searched by disease/condition, environmental risk factors, or gene of study and other free text, and a simple analysis can be performed.
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From
GWAS Catalog
The Catalog is a quality controlled, manually curated, literature-derived collection of all published genome-wide association studies.
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From
NIH The Genetic
Testing Registry
The Genetic Testing Registry (GTR®)
provides a central location for voluntary submission of genetic
test information by providers. The scope includes the test's
purpose, methodology, validity, evidence of the test's usefulness,
and laboratory contacts and credentials. The overarching goal of
the GTR is to advance the public health and research into the
genetic basis of health and disease.
From
NIH OMIM
OMIM is a comprehensive, authoritative
compendium of human genes and genetic phenotypes that is freely
available and updated daily.
From
PubMed Clinical Queries
PubMed Clinical Queries is an utility offered by PubMed to search scientific literature in specific clinical research areas
From
PharmGKB
The PharmGKB is a pharmacogenomics knowledge resource that encompasses clinical information including dosing guidelines and drug labels, potentially clinically actionable gene-drug associations and genotype-phenotype relationships.
From
PubMed
PubMed comprises more than 27 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
Disclaimer: Articles listed in the Public
Health Knowledge Base are selected by the CDC Office of Public Health
Genomics to provide current awareness of the literature and news.
Inclusion in the update does not necessarily represent the views of
the Centers for Disease Control and Prevention nor does it imply
endorsement of the article's methods or findings. CDC and DHHS assume
no responsibility for the factual accuracy of the items presented.
The selection, omission, or content of items does not imply any
endorsement or other position taken by CDC or DHHS. Opinion, findings
and conclusions expressed by the original authors of items included
in the update, or persons quoted therein, are strictly their own and
are in no way meant to represent the opinion or views of CDC or DHHS.
References to publications, news sources, and non-CDC Websites are
provided solely for informational purposes and do not imply
endorsement by CDC or DHHS.
