To tackle the human health challenges that face the world today, the FNIH develops collaborations with top experts from government, industry, academia and the not-for-profit sector and provides a neutral environment where we can work productively toward a common goal.

International Summit in Human Genetics and Genomics

The International Summit in Human Genetics and Genomics is a five-year initiative (2016-2020) designed to help developing nations build and expand their knowledge base, infrastructure, systems and technologies in genetics and genomics. Each fall, researchers from abroad travel to the National Institutes of Health in Bethesda, Maryland for one month of in-person training at the National Human Genome Research Institute (NHGRI). The Summit helps them to understand the prevalence and basis of genetic diseases in their nations and to address these public health challenges. The 2019 Summit will be held on August 28 - September 28, 2019.

Baby Connectome Project

The Baby Connectome Project (BCP) is a four-year study of children from birth through five years of age, intended to provide a better understanding of how the brain develops from infancy through early childhood and the factors that contribute to healthy brain development.

Accelerating Medicines Partnership: Rheumatoid Arthritis, Systemic Lupus Erythematosus & Related Autoimmune Disorders

Rheumatoid Arthritis (RA), Systemic Lupus Erythematosus & Related Autoimmune Disorders is an initiative of the Accelerating Medicines Partnership (AMP), which is a multi-sector, pre-competitive  partnership among government, industry, and nonprofit organizations, the goal of which is to harness collective capabilities, scale and resources toward improving current efforts to develop new therapies for complex, heterogeneous diseases.

Biomarkers Consortium - Inflammatory Markers for Early Detection and Subtyping of Neurodegenerative and Mood Disorders

This project will aim to standardize and validate measurement methods for inflammatory markers associated with Alzheimer’s Disease and/or Major Depressive Disorder to ultimately identify a unique biosignature of disease. The identified biosignature would greatly assist with medication development, patient diagnosing, and patient selection for clinical trials.

Biomarkers Consortium - PROGRESS OA: Clinical Evaluation and Qualification of Osteoarthritis Biomarkers

The goal of this three-year project is to validate the novel radiographic measures, MRI measures and biochemical markers from the Phase I OA Biomarkers Consortium Project, and to qualify those biomarkers via the formal regulatory qualification process with both the FDA and EMA.

Biomarkers Consortium - Treatments Against RA and Effect on FDG PET-CT (TARGET Biomarker Study)

The Biomarkers Consortium’s TARGET Biomarker Study seeks to utilize validated proteomic biomarkers of rheumatoid arthritis (RA) disease activity and inflammation to categorize baseline and disease-modifying antirheumatic drug (DMARD)-associated changes in vascular inflammation in RA patients.

Biomarkers Consortium - Bone Quality Project

The Biomarkers Consortium’s Bone Quality Project aims to evaluate and to identify biomarkers of bone strength and quality changes by analyzing pooled imaging and biochemical data from multiple clinical studies to allow definition of better clinical endpoints.

Biomarkers Consortium - Longitudinal Proteomic Changes in CSF from ADNI: Towards Better Defining the Trajectory of Prodromal and Early Alzheimer’s Disease

The Biomarkers Consortium Longitudinal CSF Proteomics Project addresses the need for tools for early diagnosis and measurement of disease progression in Alzheimer’s disease. This longitudinal study will measure the rate of change of five protein biomarkers within patients from the Alzheimer’s Disease Neuroimaging Initiative Cohort with Mild Cognitive Impairment (MCI), AD and healthy controls, utilizing a multiplexed mass spectrometry-based approach.

Biomarkers Consortium - The Autism Biomarkers Consortium for Clinical Trials (ABC-CT)

The Consortium will establish a technical and data infrastructure for reliably measuring social function, allowing the collaborating sites to work together as a single unit. The goal is to create a set of measures that can be used in clinical trials to determine which treatments are best for which patients and who will benefit from a particular treatment. The ultimate goal is to further develop and validate a set of measures that can be used as stratification biomarkers and/or sensitive and reliable objective measures of social impairment in autism spectrum disorders that could serve as indicative markers of long term clinical outcome.