Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: Lessons from the Global Biobank Meta-analysis Initiative is a research paper published in Cell Genomics (2022). On theSindex it has a DataRank of 1.1. It has been cited 40 times, with 28 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
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Base Score Contribution
0.557
From this paper's citation signal
Citation Network Contribution
0.572
From 20 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 28 citers.
National Institutes of Health
Grant: R01 MH115676
National Institutes of Health
Grant: R01 AI153827
National Institutes of Health
Grant: R01 HG009120
National Institutes of Health
Grant: R01 CA251555
National Institutes of Health
Grant: R01 HG006399
National Institutes of Health
Grant: U01 HG011715
National Institutes of Health
Grant: R01 CA244670
National Institute on Aging
Grant: AG068026
National Human Genome Research Institute
Grant: R01HG011138
National Human Genome Research Institute
Grant: R35HG010718
National Human Genome Research Institute
Grant: T32HG010464
National Human Genome Research Institute
Grant: K99HG012222-01
National Institute of General Medical Sciences
Grant: U01HG009086
National Institute of General Medical Sciences
Grant: R01GM140287
NHGRI NIH HHS
Grant: R00 HG012222
NIMH NIH HHS
Grant: R01 MH126459
NIA NIH HHS
Grant: R56 AG068026
NHGRI NIH HHS
Grant: K99 HG012222
National Institutes of Health
Grant: 5R35HG010718-02
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Grant: 2T32HG010464-06
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Grant: 5R01CA251555-03
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Grant: 5R01AI153827-05
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Grant: 5R56AG068026-02
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Grant: 5R01HG011138-05
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Grant: 2R01HG006399-10A1
Leveraging functional data to predict disease risk in multi-ethnic populations
National Institutes of Health
Grant: 5R01GM140287-02
Haplotype-aware models of gene and isoform expression with application to genetic studies of disease in diverse populations
National Institutes of Health
Grant: 1K99HG012222-01
An integrative approach to disease gene discovery combining genetic variation, gene expression, and epigenetics.
National Institutes of Health
Grant: 5R01MH115676-08
Integrating case-control transcriptomic and genetic data in admixed individuals to identify disease genes for schizophrenia and bipolar disorder
National Institutes of Health
Grant: 5U01HG011715-03
PRS Center for Admixed Populations and Health Equity (CAPE)
National Institutes of Health
Grant: 5U01HG009086-03
Analysis, Validation and Resource Creation for Genome Sequencing of Complex Diseases
National Institutes of Health
Grant: 5R01HG009120-04
Integrative approaches for mapping the genetic risk of complex traits
National Institutes of Health
Grant: 5R01CA244670-03
Integration of genetic, gene expression and environmental data to inform biological basis of mammographic density
FWCI
6.67
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals