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INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants

Genome biology(2021)10.1186/s13059-021-02450-8Source: DataRank Database

INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants is a research paper published in Genome biology (2021). On theSindex it has a DataRank of 0. It has been cited 7 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (18 grants)Impact (FWCI 0.45)OA: goldTopics (83)Linked Datasets (4)DataCite Reuse (4)IDs (PubMed, OpenAlex)

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Accessible (1/2)

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Interoperable (2/2)

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Authors (13)

Shane P. Simonett ORCID,Sunyoung Shin ORCID,Donnie S. Stapleton ORCID,Kathryn L. Schueler ORCID,Gary A. Churchill ORCID

Live enrichment

PubMed:34425882 OpenAlex:https://openalex.org/W3195995877

National Institutes of Health

Grant: DK101573

National Institutes of Health

Grant: HG007019

National Institutes of Health

Grant: HG003747

National Institutes of Health

Grant: U54AI117924

National Institutes of Health

Grant: 2R01HG003747-05A1

Statistical Analysis Methods and Software for ChIP-seq Data

National Institutes of Health

Grant: 1ZIADK013039-04

Molecular modeling of soluble proteins

National Institutes of Health

Grant: 1R21HG011371-01

Functionally relevant mapping of human GWAS SNPs on model organisms

National Institutes of Health

Grant: 1U01HG007019-01

Statistical Methods For Annotating Repetitive Genomic Regions Through ENCODE-deri

National Institutes of Health

Grant: 3R01DK101573-02S1

The Collaborative Cross Project of Diabetes

National Institutes of Health

Grant: 5U54AI117924-05

The Center for Predictive Computational Phenotyping-1 Overall

NIDDK NIH HHS

Grant: R01 DK131437

NHGRI NIH HHS

Grant: R01 HG003747

NCI NIH HHS

Grant: R01 CA267872

NHGRI NIH HHS

Grant: U01 HG007019

NHGRI NIH HHS

Grant: R01 HG009658

NIDDK NIH HHS

Grant: R01 DK113185

NIDDK NIH HHS

Grant: R01 DK101573

NHGRI NIH HHS

Grant: R21 HG011371

FWCI

0.45

Citation Percentile

0.6%

Citation Trend

2023

2024

2026

goldLicense: cc-by

journalhttps://genomebiology.biomedcentral.com/track/pdf/10.1186/s13059-021-02450-8

publisherhttps://genomebiology.biomedcentral.com/track/pdf/10.1186/s13059-021-02450-8

publisherhttps://link.springer.com/content/pdf/10.1186/s13059-021-02450-8.pdf

publisherhttps://link.springer.com/article/10.1186/s13059-021-02450-8/fulltext.html

journalhttps://doi.org/10.1186/s13059-021-02450-8

Fields of Study

Genomics and Chromatin DynamicsGenetic Mapping and Diversity in Plants and AnimalsGenetic Associations and Epidemiology0301 basic medicine03 medical and health sciencesAnimalsBase SequenceChromatinChromatin Immunoprecipitation SequencingComputer SimulationGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyGenomicsHumansMicePhysical Chromosome MappingPolymorphism, Single NucleotideQuantitative Trait LociRNA-SeqStatistics as TopicTranscriptome

MeSH Terms

Chromatin Immunoprecipitation SequencingRNA-SeqAnimalsBase SequenceChromatinComputer SimulationHumansStatistics as TopicGenetic VariationGenetic Predisposition to DiseasePhysical Chromosome MappingPolymorphism, Single NucleotideGenomicsQuantitative Trait LociMiceGenome-Wide Association StudyTranscriptome

Keywords

BiologyGenome-wide association studyModel organismComputational biologyGeneticsIn silicoInfimum and supremumEffectorGeneGenomeSingle-nucleotide polymorphismGenotypeQH301-705.5Pancreatic isletsQuantitative Trait LociStatistics as Topic610MethodQH426-470Genome-wide association studiesPolymorphism, Single NucleotideMolecular quantitative trait lociMiceMedicine and Health SciencesAnimalsHumansComputer SimulationGenetic Predisposition to DiseaseRNA-SeqBiology (General)Diversity outbred mouseJMGBase SequenceFine-mappingLife SciencesGenetic VariationATAC-seqGenomicsPhysical Chromosome MappingChromatinChromatin Immunoprecipitation SequencingTranscriptomeGenerative probabilistic modelingTransfer learning

Additional file 1 of INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants

10.6084/m9.figshare.16417367.v1figshare

Additional file 1 of INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants

10.6084/m9.figshare.16417367figshare

Additional file 2 of INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants

10.6084/m9.figshare.16417370.v1figshare

Additional file 2 of INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants

10.6084/m9.figshare.16417370figshare