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

Investigative power of genomic informational field theory relative to genome-wide association studies for genotype-phenotype mapping.

Physiological genomics - 1 Nov 2024

Kyratzi Panagiota, Matika Oswald, Brassington Amey H, Clare Connie E, Xu Juan, Barrett David A, Emes Richard D, Archibald Alan L, Paldi Andras, Sinclair Kevin D, Wattis Jonathan, Rauch Cyril

Abstract excerpt

Identifying associations between phenotype and genotype is the fundamental basis of genetic analyses. Inspired by frequentist probability and the work of R. A. Fisher, genome-wide association studies (GWAS) extract information using averages and variances from genotype-phenotype datasets. Averages and variances are legitimated upon creating distribution density functions obtained through the grouping of data into...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Association Studies
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Genotype

Share to Information Theory

Share to Phenotype

Source

Open in PubMed Open full text

Identifiers

PMID: 39250149
DOI: 10.1152/physiolgenomics.00049.2024
PMCID: PMC11573261

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

Investigative power of genomic informational field theory relative to genome-wide association studies for genotype-phenotype mapping.PMID 39250149Read ↗

Genomic informational field theory to identify genetic associations of a complex trait using a small sample size.Semantic proximity Read ↗

Genomic Informational Field Theory (GIFT) to identify genetic associations of a complex trait using a small sample sizeSemantic proximity Read ↗

GIFT: new method for the genetic analysis of small gene effects involving small sample sizes.Semantic proximity Read ↗

Analysis of phenotype-genotype associations using genomic informational field theory (GIFT).Semantic proximity Read ↗

Identifying single-nucleotide polymorphisms (SNPs) intersecting Alzheimer’s disease pathology and end-of-life traits using genomic informational field theory (GIFT)Semantic proximity Read ↗

Identification of significant SNPs and the quantification of correlation using genomic informational field theory (GIFT).Semantic proximity Read ↗

Toward an Information Theory of Quantitative Genetics.Semantic proximity Read ↗

Beyond Mendel: a call to revisit the genotype-phenotype map through new experimental paradigms.Semantic proximity Read ↗

Risk assessment and communication tools for genotype associations with multifactorial phenotypes: the concept of "edge effect" and cultivating an ethical bridge between omics innovations and society.Semantic proximity Read ↗

The evidential statistical paradigm in genetics.Semantic proximity Read ↗

Bridging the genotype-phenotype gap: what does it take?Semantic proximity Read ↗

Exploiting single-cell quantitative data to map genetic variants having probabilistic effectsSemantic proximity Read ↗

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