Cell type–specific genetic regulation of gene expression across human tissues is a research paper published in Science (2020). On theSindex it has a DataRank of 10.3. It has been cited 596 times, with 200 citing works in its 1-hop citation network.
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Base Score Contribution
0.959
From this paper's citation signal
Citation Network Contribution
9.3
From 200 citing papers with measurable signal
NIH Office of the Director
Grant: HG002585
European Commission
Grant: Marie-Skłodowska Curie fellowship H2020 Grant 706636
NIGMS NIH HHS
Grant: R01 GM124486
NIMH NIH HHS
Grant: R01 MH090951
NIMH NIH HHS
Grant: R01 MH101814
NHGRI NIH HHS
Grant: R35 HG010718
NIGMS NIH HHS
Grant: R01 GM122924
NIMH NIH HHS
Grant: R01 MH090936
Swiss National Science Foundation
Grant: 149984
NHGRI NIH HHS
Grant: F32 HG009987
NHGRI NIH HHS
Grant: K99 HG009916
Medical Research Council
Grant: MR/M004422/1
A systems based approach to integrating genetic and longitudinal omics data to support diagnosis and prediction of common chronic disease
NIDDK NIH HHS
Grant: P30 DK020595
NIMH NIH HHS
Grant: R01 MH106842
NIMH NIH HHS
Grant: R01 MH107666
NIMH NIH HHS
Grant: R01 MH109905
NHGRI NIH HHS
Grant: U01 HG007593
NCATS NIH HHS
Grant: UL1 TR002550
NCI NIH HHS
Grant: R01 CA229618
NIMH NIH HHS
Grant: R01 MH090941
NHGRI NIH HHS
Grant: T32 HG000044
NHGRI NIH HHS
Grant: U41 HG009494
NHGRI NIH HHS
Grant: UM1 HG008901
NCI NIH HHS
Grant: HHSN261200800001E
NHLBI NIH HHS
Grant: HHSN268201000029C
Medical Research Council
Grant: MR/R023131/1
Genetic and environmental determinants of age-acquired skewed X-inactivation and escape from X-inactivation
NIDA NIH HHS
Grant: R01 DA006227
NHGRI NIH HHS
Grant: R01 HG006855
NHGRI NIH HHS
Grant: R01 HG010480
NIMH NIH HHS
Grant: R01 MH090937
NLM NIH HHS
Grant: T32 LM012424
NHGRI NIH HHS
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NHGRI NIH HHS
Grant: U01 HG007598
CCR NIH HHS
Grant: HHSN261200800001C
NHLBI NIH HHS
Grant: R01 HL142028
NIMH NIH HHS
Grant: U01 MH104393
NHGRI NIH HHS
Grant: R01 HG002585
NHGRI NIH HHS
Grant: R01 HG008150
NIMH NIH HHS
Grant: R01 MH101822
NHGRI NIH HHS
Grant: U41 HG002371
NCATS NIH HHS
Grant: UL1 TR001873
National Institutes of Health
Grant: 5R01HL142028-02
Integration of omics data to improve interpretation of genetic risk variants in lung disease
National Institutes of Health
Grant: 5UL1TR002550-02
Scripps Translational Science Institute
National Institutes of Health
Grant: 5R01MH106842-08
Integrative analysis of genetic variation and transcription factor networks to elucidate mechanisms of mental health disorders
National Institutes of Health
Grant: 1F32HG009987-01A1
Leveraging molecular QTL to understand the genetic architecture of disease
National Institutes of Health
Grant: 5U01MH104393-02
Strategic mapping of tissue and population methylation for mental health research
National Institutes of Health
Grant: 3UM1HG008901-04S2
New York Center for Collaborative Research in Common Disease Genomics
National Institutes of Health
Grant: 1R01MH090937-01
Using the Transcriptome for SNP and Gene Annotation
National Institutes of Health
Grant: 1R01MH090951-01
Statistical analysis of gene expression quantitative trait loci (eQTL)
National Institutes of Health
Grant: 3U41HG009494-03S1
A portal and integrative collaborative analysis platform for GTEx
National Institutes of Health
Grant: 5U41HG002371-21
The UCSC Genome Browser
National Institutes of Health
Grant: 5T32LM012424-03
Biomedical Big Data Training Grant
National Institutes of Health
Grant: 5R01GM124486-02
Single-nucleotide resolution mapping of allelic protein-RNA interactions and splicing-regulatory variants
National Institutes of Health
Grant: 5R01MH090941-02
Methods for high-resolution analysis of genetic effects on gene expression
National Institutes of Health
Grant: 5R01HG010480-03
Robust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk Prediction
National Institutes of Health
Grant: 2R01HG002585-09A1
Genome Analysis: Data Accuracy, Haplotyping and Mapping
National Institutes of Health
Grant: 5R01GM122924-04
Regulatory modifiers of coding variant penetrance via haplotype epistasis in human populations and diseases
National Institutes of Health
Grant: 5R01HG008150-02
Predicting causal non-coding variants in a founder population
European Commission
Grant: 706636
Characterizing Function Genetic Variants Linking Immunity and Psychiatric Disorders
National Institutes of Health
Grant: 5U41HG009494-02
A portal and integrative collaborative analysis platform for GTEx
National Institutes of Health
Grant: 5R01MH101814-02
Methods for high-resolution analysis of genetic effects on gene expression
National Institutes of Health
Grant: 1R01MH101822-01
Identification and validation of cell specific eQTLs by Bayesian modeling
National Institutes of Health
Grant: 5T32HG000044-22
Institutional Training Grant in Genome Science
National Institutes of Health
Grant: 1R01MH107666-01
Predicted Gene Expression: High Power, Mechanism, and Direction of Effect
Wellcome Trust
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5R35HG010718-02
Functional Genomics: A Phenome-wide Survey
National Institutes of Health
Grant: 5R01HG006855-02
Multi-allelic copy number variation of the human genome
National Institutes of Health
Grant: 5R01MH090936-02
FACILITATING GTEx, DISEASE, AND GxE ANALYSES VIA FAST EXPRESSION (e)QTL MAPPING
National Institutes of Health
Grant: 5U01HG007593-02
HIGH RESOLUTION ALLELE SPECIFIC EXPRESSION ASSAYS
National Institutes of Health
Grant: 3U01HG007598-01S1
The genetic basis of cross-tissue protein expression variability in humans
National Institutes of Health
Grant: 1K99HG009916-01
Characterizing genetic, longitudinal, and developmental effects on the transcriptome using a novel non-invasive RNA-sequencing method
National Institutes of Health
Grant: 2R01MH106842-04
Integrative analysis of genetic variation and transcription factor networks to elucidate mechanisms of mental health disorders
European Commission
Grant: 115317
DIabetes REsearCh on patient sTratification
National Institutes of Health
Grant: 5R01HG010067-05
Network-based algorithms for target identification and drug repositioning from genetic associations
National Institutes of Health
Grant: 2P30DK020595-36
Core B: Molecular Biol. Genetics Core
National Institutes of Health
Grant: 5R01MH109905-03
3/3 Building integrative CNS networks for genomic analysis of autism
Wellcome Trust
Wellcome Trust
FWCI
74.98
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium
Additional file 1 of Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium
Additional file 3 of Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium
Additional file 3 of Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium
Additional file 4 of Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium
Additional file 4 of Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium
Additional file 3 of scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks
Additional file 3 of scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks
Additional file 1 of Identification of tissue-specific and common methylation quantitative trait loci in healthy individuals using MAGAR
Additional file 1 of Identification of tissue-specific and common methylation quantitative trait loci in healthy individuals using MAGAR
Additional file 1 of A comprehensive comparison of multilocus association methods with summary statistics in genome-wide association studies
Additional file 1 of A comprehensive comparison of multilocus association methods with summary statistics in genome-wide association studies
Additional file 2 of A comprehensive comparison of multilocus association methods with summary statistics in genome-wide association studies
Additional file 2 of A comprehensive comparison of multilocus association methods with summary statistics in genome-wide association studies
Additional file 1 of Tissue dissociation for single-cell and single-nuclei RNA sequencing for low amounts of input material
Additional file 1 of Tissue dissociation for single-cell and single-nuclei RNA sequencing for low amounts of input material
Additional file 2 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 2 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 3 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 3 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data