ReviewHuman genetics2012
Integration of biological networks and pathways with genetic association studies.
Review in Human genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- Article
- Genome-wide Network-assisted Association and Enrichment Study of Amyloid Imaging Phenotype in Alzheimer's Disease.Current Alzheimer research · 2019Article
- Implication of the APP Gene in Intellectual Abilities.Journal of Alzheimer's disease : JAD · 2017Article
- CNS autoimmune disease afterFuture neurology · 2016Article
- Association studies of genomic variants with treatment response to risperidone, clozapine, quetiapine and chlorpromazine in the Chinese Han population.The pharmacogenomics journal · 2016Article
- Gene co-expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS-based study using the Allen Human Brain Atlas.Human genetics · 2016Article
- An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in Attention-Deficit/Hyperactivity Disorder.Scientific reports · 2016Article
- Evidence for Association of Cell Adhesion Molecules Pathway and NLGN1 Polymorphisms with Schizophrenia in Chinese Han Population.PloS one · 2015Article
- Powerful Tukey's One Degree-of-Freedom Test for Detecting Gene-Gene and Gene-Environment Interactions.Cancer informatics · 2015Article
- TGFβ receptor 1: an immune susceptibility gene in HPV-associated cancer.Cancer research · 2014Article
- Integrative analysis of GWASs, human protein interaction, and gene expression identified gene modules associated with BMDs.The Journal of clinical endocrinology and metabolism · 2014Article
- Network analysis identifies protein clusters of functional importance in juvenile idiopathic arthritis.Arthritis research & therapy · 2014Article
- Network.assisted analysis to prioritize GWAS results: principles, methods and perspectives.Human genetics · 2014Review
- Beyond GWAS in COPD: probing the landscape between gene-set associations, genome-wide associations and protein-protein interaction networks.Human heredity · 2014Article
- Article
- Identification of reproducible gene expression signatures in lung adenocarcinoma.BMC bioinformatics · 2013Article
- Evaluating rare variants in complex disorders using next-generation sequencing.Current psychiatry reports · 2013Review
- Pathway analysis using genome-wide association study data for coronary restenosis--a potential role for the PARVB gene.PloS one · 2013Article
- The role of the serotonergic and GABA system in translational approaches in drug discovery for anxiety disorders.Frontiers in pharmacology · 2013Article
- Study designs and methods post genome-wide association studies.Human genetics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Millions of genetic variants have been assessed for their effects on the trait of interest in genome-wide association studies (GWAS). The complex traits are affected by a set of inter-related genes. However, the typical GWAS only examine the association of a single genetic variant at a time. The individual effects of a complex trait are usually small, and the simple sum of these individual effects may not reflect the holistic effect of the genetic system. High-throughput methods enable genomic studies to produce a large amount of data to expand the knowledge base of the biological systems. Biological networks and pathways are built to represent the functional or physical connectivity among genes. Integrated with GWAS data, the network- and pathway-based methods complement the approach of single genetic variant analysis, and may improve the power to identify trait-associated genes. Taking advantage of the biological knowledge, these approaches are valuable to interpret the functional role of the genetic variants, and to further understand the molecular mechanism influencing the traits. The network- and pathway-based methods have demonstrated their utilities, and will be increasingly important to address a number of challenges facing the mainstream GWAS.
Indexed as
Identifiers
What Socratic 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 Socratic graph.