ArticleTrends in genetics : TIG2012
Genotype-phenotype mapping in a post-GWAS world.
Article in Trends in genetics : TIG, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed, 64 citations in OpenAlex.
- Expanding the repertoire of loss-of-function variants in HACE1 causing complex spastic paraplegia: literature review and recommendations on clinical management.Human genomics · 2026Review
- Scaffolded and annotated nuclear and organelle genomes of the North American brown algaFrontiers in genetics · 2025Article
- Gain- and loss-of-function alleles within signaling pathways lead to phenotypic diversity among individuals.iScience · 2024Article
- Genome-Wide Association Study on Total Starch, Amylose and Amylopectin in Barley Grain Reveals Novel Putative Alleles.International journal of molecular sciences · 2021Article
- Extent and context dependence of pleiotropy revealed by high-throughput single-cell phenotyping.PLoS biology · 2020Article
- The potential of genomics for restoring ecosystems and biodiversity.Nature reviews. Genetics · 2019Review
- Genetic and transcriptomic dissection of the fiber length trait from a cotton (Gossypium hirsutum L.) MAGIC population.BMC genomics · 2019Article
- Structural equation modeling for hypertension and type 2 diabetes based on multiple SNPs and multiple phenotypes.PloS one · 2019Article
- Natural and Artificial Selection for Parasitoid Resistance inFrontiers in genetics · 2019Article
- The Evolution of Gene Expression in cis and trans.Trends in genetics : TIG · 2018Review
- Inference of Transcription Factor Regulation Patterns Using Gene Expression Covariation in Natural Populations ofBiophysics · 2018Article
- Systems Medicine Disease: Disease Classification and Scalability Beyond Networks and Boundary Conditions.Frontiers in bioengineering and biotechnology · 2018Article
- Evolution of Premalignant Disease.Cold Spring Harbor perspectives in medicine · 2017Review
- Conservation of social effects (ΨEcology and evolution · 2017Article
- Genome-wide association study discovered genetic variation and candidate genes of fibre quality traits in Gossypium hirsutum L.Plant biotechnology journal · 2017Article
- Article
- Genetic assimilation: a review of its potential proximate causes and evolutionary consequences.Annals of botany · 2016Review
- Genome-wide association study reveals the genetic architecture of flowering time in rapeseed (Brassica napus L.).DNA research : an international journal for rapid publication of reports on genes and genomes · 2016Article
- Mapping the genomic architecture of adaptive traits with interspecific introgressive origin: a coalescent-based approach.BMC genomics · 2016Article
- Linkage and Association Mapping for Two Major Traits Used in the Maritime Pine Breeding Program: Height Growth and Stem Straightness.PloS one · 2016Article
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 at 2 institutions in 1 country.
Funding
Abstract
Understanding how metabolic reactions, cell signaling, and developmental pathways translate the genome of an organism into its phenotype is a grand challenge in biology. Genome-wide association studies (GWAS) statistically connect genotypes to phenotypes, without any recourse to known molecular interactions, whereas a molecular biology approach directly ties gene function to phenotype through gene regulatory networks (GRNs). Using natural variation in allele-specific expression, GWAS and GRN approaches can be merged into a single framework via structural equation modeling (SEM). This approach leverages the myriad of polymorphisms in natural populations to elucidate and quantitate the molecular pathways that underlie phenotypic variation. The SEM framework can be used to quantitate a GRN, evaluate its consistency across environments or sexes, identify the differences in GRNs between species, and annotate GRNs de novo in non-model organisms.
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.