The NIH Human Microbiome Project.

By Jane L. Peterson, S. Garges, Maria Y. Giovanni, P. Mcinnes, Lu Wang, J. Schloss, Vivien R. Bonazzi, J. Mcewen, K. Wetterstrand, C. Deal and 29 more. Genome Research, 2009

2,072 citations recorded by the source corpus.

The Human Microbiome Project (HMP), funded as an initiative of the NIH Roadmap for Biomedical Research (http://nihroadmap.nih.gov), is a multi-component community resource. The goals of the HMP are: (1) to take advantage of new, high-throughput technologies to characterize the human microbiome more fully by studying samples from multiple body sites from each of at least 250 "normal" volunteers; (2) to determine whether there are associations between changes in the microbiome and health/disease by studying several different medical conditions; and (3) to provide both a standardized data resource and new technological approaches to enable such studies to be undertaken broadly in the scientific community. The ethical, legal, and social implications of such research are being systematically studied as well. The ultimate objective of the HMP is to demonstrate that there are opportunities to improve human health through monitoring or manipulation of the human microbiome. The history and implementation of this new program are described here.

Subfields: Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/7c1fe2a9c2dd81affa1858dde3506566cbf1d37c

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Citations in the corpus

MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads (2011, positive): “In order to assess the assembly accuracy on metagenomic analyses, including taxonomical content analysis [5], functional composition analysis [18], and pathway mapping analysis [11], we analyzed human gut microbial data [15] with our MetaVelvet assembler.”
Fast Identification and Removal of Sequence Contamination from Genomic and Metagenomic Datasets (2011, neutral): “human body [7,8].”
Ultrafast clustering algorithms for metagenomic sequence analysis (2012, neutral): “biome [9, 10].”
VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data (2017, methodology): “Metagenomic samples were simulated based on species abundance profiles derived from a real human gut metagenomic sample (accession ID SRR061166, Platform: Illumina) from the Human Microbiome Project (HMP) [72], commonly used for metagenomic data analysis [73 – 76].”
Hypothesis Testing and Power Calculations for Taxonomic-Based Human Microbiome Data (2012, background): “The NIH Human Microbiome Project (HMP) [1] aims at characterizing, using next generation sequencing technology, the genetic diversity of microbial populations living in and on humans, and at investigating their roles in the functioning of the human body, such as their effects in nutrition and…”
DectICO: an alignment-free supervised metagenomic classification method based on feature extraction and dynamic selection (2015, methodology): “For example, the Human Microbiome Project [10] was funded by the National Institutes of Health (NIH), resulting in a broad range of quality-controlled resources of high-throughput metagenomic data available to the scientific community.”
Evidence for a core gut microbiota in the zebrafish (2011, background): “One of the long-term goals for efforts such as the Human Microbiome Project is to develop effective strategies for manipulating gut microbial communities to promote and sustain the health of human hosts (Peterson et al., 2009).”
Metagenomic Analyses: Past and Future Trends (2010, background): “In 2009, the Human Microbiome Project (88) was founded.”
The skin microbiome (2011, background): “The US National Institutes of Health Common Fund Human Microbiome Project aims to characterize the human microbiota and its role in health by examining the microbial diversity of 250 healthy volunteers sampled at 18 skin sites, including two skin sites, nine oral cavity sites, the nare, the stool an”
The Human Oral Microbiome Database: a web accessible resource for investigating oral microbe taxonomic and genomic information (2010, background): “of all the conclusions generated by HMP-funded programs (6).”
Reducing the Effects of PCR Amplification and Sequencing Artifacts on 16S rRNA-Based Studies (2011, background): “For example, the HMP recruited 300 individuals, who were sampled 2 or 3 times at 15 (men) or 18 (women) body sites with the goal of characterizing the structure and function of the normal microbiome [8].”