Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Cohort Profile: TRacing Etiology of Non-communicable Diseases (TREND): Rationale, Progress and Perspective

16 Oct 2024

Abstract excerpt

The TRacing Etiology of Non-communicable Diseases (TREND) cohort is a prospective longitudinal cohort and biobank that is mainly based in Ma'anshan, Anhui Province, China. The primary aim of the study is to decipher comprehensive molecular characterization and deep phenotyping for a broad spectrum of chronic non-communicable diseases (NCDs), which focuses on providing mechanistic insights with diagnostic,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cardiovascular Health and Risk Factors
Share to Health, Environment, Cognitive Aging
Share to Nutrition, Genetics, and Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40061819
DOI: 10.1007/s43657-024-00196-4

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Cohort Profile: TRacing Etiology of Non-communicable Diseases (TREND): Rationale, Progress and PerspectivePMID 40061819Read ↗

Burden and Temporal trends of Major Chronic Diseases among Adults aged over 60 in China from 1990 to 2021 and Projection to 2050Semantic proximity Read ↗

Cohort Profile: The China Northwest Cohort studySemantic proximity Read ↗

Metabolic indicators associated with non-communicable diseases deteriorated in COVID-19 outbreak: evidence from a two-center, retrospective studySemantic proximity Read ↗

Title: Cohort profile update: Tehran Cardiometabolic Genetic Study, a path toward precision medicineSemantic proximity Read ↗

Association of Healthy Lifestyle with the Incidence of the Risk of Developing a Broad Range of Diseases: A Prospective Cohort StudySemantic proximity Read ↗

Phenome-wide association study to explore the long-term symptoms after infection with novel coronavirus in the UK BiobankSemantic proximity Read ↗

Precision Medicine Screening Using Whole Genome Sequencing and Advanced Imaging To Identify Disease Risk in AdultsSemantic proximity Read ↗

Transforming global approaches to chronic disease prevention and management across the lifespan: integrating genomics, behavior change, and digital health solutionsSemantic proximity Read ↗

A Comprehensive Prospective Cohort in Preventive Medicine: Protocol and Profile of the First 1,000 Participants in a Health Screening ProgramSemantic proximity Read ↗

Nonlinear dynamics of multi-omics profiles during human agingSemantic proximity Read ↗

Epidemiology, temporal trends, and fibrosis risk stratification in metabolic dysfunction-associated steatotic liver disease in UK primary care: a population-based cohort and nested case-control studySemantic proximity Read ↗

Cohort profile: The Nanjing Diabetes Cohort database – a population-based surveillance cohortSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.