Evidence map›Paper›PMID 38659791›Full record

ArticlebioRxiv : the preprint server for biology2024

Investigative power of Genomic Informational Field Theory (GIFT) relative to GWAS for genotype-phenotype mapping.

Panagiota Kyratzi, Oswald Matika, Amey H Brassington, Connie E Clare, Juan Xu, David A Barrett, Richard D Emes, Alan L Archibald, Andras Paldi, Kevin D Sinclair and 2 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 3 countries.

Panagiota KyratziSchool of Veterinary Medicine and Science, University of Nottingham, College Road, Sutton Bonington, LE12 5RD, UK.ORCID 0000-0001-8999-6390
Oswald MatikaDiv. Genetics and Genomics, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, Scotland, UK.ORCID 0000-0002-4213-3907
Amey H BrassingtonAgriculture and Horticulture Development Board, Middlemarch Business Park Siskin Parkway, East Coventry CV3 4PE, UK.
Connie E ClareSchool of Biosciences, University of Nottingham, College Road, Sutton Bonington, LE12 5RD, UK.ORCID 0000-0002-4369-196X
Juan XuShanghai Leadingtac Pharmaceutical Co., Ltd, 781 Cailun Road, China (Shanghai) Pilot Free Trade Zone, Pudong, Shanghai 201203, China.
David A BarrettCentre for Analytical Bioscience, School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UK.ORCID 0000-0001-9089-5431
Richard D EmesNottingham Trent University, 50 Shakespeare Street, Nottingham NG1 4FQ, UK.ORCID 0000-0001-6855-5481
Alan L ArchibaldDiv. Genetics and Genomics, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, Scotland, UK.ORCID 0000-0001-9213-1830
Andras PaldiÉcole Pratique des Hautes Études, PSL Research University, St-Antoine Research Center, Inserm U938, 34 rue Crozatier, 75012 Paris, France.ORCID 0000-0003-4446-7625
Kevin D SinclairAgriculture and Horticulture Development Board, Middlemarch Business Park Siskin Parkway, East Coventry CV3 4PE, UK.ORCID 0000-0002-6375-215X
Jonathan WattisCentre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.ORCID 0000-0002-6490-1938
Cyril RauchSchool of Veterinary Medicine and Science, University of Nottingham, College Road, Sutton Bonington, LE12 5RD, UK.ORCID 0000-0001-8584-420X
University of Nottingham · GBRoslin Institute · GBAgriculture and Horticulture Development Board · GBInserm · FRWuXi AppTec (China) · CN

Funding

Transgenerational consequences of pre-conceptional and in utero exposure to real-life chemical mixtures on fertility and metabolic healthR01ES030374 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EVANS, NEIL PRICE, LEA, RICHARD · 2020 to 2024
$2.3M
NIEHS NIH HHS R01 ES030374
6 · The paper itself

Abstract

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 categories. However, as data from within a given category cannot be differentiated, the investigative power of such methodologies is limited. Genomic Informational Field Theory (GIFT) is a method specifically designed to circumvent this issue. The way GIFT proceeds is opposite to that of GWAS. Whilst GWAS determines the extent to which genes are involved in phenotype formation (bottom-up approach), GIFT determines the degree to which the phenotype can select microstates (genes) for its subsistence (top-down approach). Doing so requires dealing with new genetic concepts, a.k.a. genetic paths, upon which significance levels for genotype-phenotype associations can be determined. By using different datasets obtained in

Indexed as

Complex traitsgenotype-phenotype mapping studiesGIFTGWAS

Identifiers

PMID38659791
PMCPMC11042307
OpenAlexW4394890062

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.