ReviewJournal of medical genetics2003
New approaches to investigating heterogeneity in complex traits.
Review in Journal of medical genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Improving Replication in Endometrial Omics: Understanding the Influence of the Menstrual Cycle.International journal of molecular sciences · 2025Review
- TraitTrainR: accelerating large-scale simulation under models of continuous trait evolution.Bioinformatics advances · 2025Article
- Schizophrenia in the genetic era: a review from development history, clinical features and genomic research approaches to insights of susceptibility genes.Metabolic brain disease · 2024Review
- Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review.Global challenges (Hoboken, NJ) · 2024Review
- Genetic heterogeneity in cardiovascular disease across ancestries: Insights for mechanisms and therapeutic intervention.Cambridge prisms. Precision medicine · 2023Review
- Replication study of GWAS risk loci in Greek multiple sclerosis patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019Article
- Common gene-network signature of different neurological disorders and their potential implications to neuroAIDS.PloS one · 2017Article
- A review of genome-wide association studies for multiple sclerosis: classical and hypothesis-driven approaches.Human genetics · 2015Review
- The challenge of implementing genetic tests with clinical utility while avoiding unsound applications.Journal of community genetics · 2014Article
- Identification of a functional variant in the KIF5A-CYP27B1-METTL1-FAM119B locus associated with multiple sclerosis.Journal of medical genetics · 2013Article
- Genetic testing and common disorders in a public health framework: how to assess relevance and possibilities. Background Document to the ESHG recommendations on genetic testing and common disorders.European journal of human genetics : EJHG · 2011Review
- Three allele combinations associated with multiple sclerosis.BMC medical genetics · 2006Article
- Genomic profiling of interpopulation diversity guides prioritization of candidate-genes for autoimmunity.Genes and immunity · 2004Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Great advances in the field of genetics have been made in the last few years. However, resolving the complexity that underlies the susceptibility to many polygenic human diseases remains a major challenge to researchers. The fast increase in availability of genetic data and the better understanding of the clinical and pathological heterogeneity of many autoimmune diseases such as multiple sclerosis, but also Parkinson's disease, Alzheimer's disease, and many more, have changed our views on their pathogenesis and diagnosis, and begins to influence clinical management. At the same time, more powerful methods that allow the analysis of large numbers of genes and proteins simultaneously open opportunities to examine their complex interactions. Using multiple sclerosis as a prototype, we review here how new methodologies such as gene expression profiling can be exploited to gain insight into complex trait diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.