Sherlock statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool Sherlock

Tool usage distribution map

info info

Associated diseases


Popular tool citations

chevron_left Single SNP association eQTL mapping chevron_right
Want to access the full stats & trends on this tool?

Sherlock specifications


Unique identifier OMICS_04410
Name Sherlock
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Xin He

Publication for Sherlock

Sherlock citations


Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Nat Commun
PMCID: 5940825
PMID: 29739930
DOI: 10.1038/s41467-018-03621-1

[…] are based on colocalization of eQTL and GWAS signals. Colocalized signals provide evidence of possible causal relationship between the target gene of an eQTL and the complex trait. These include RTC, Sherlock, COLOC, and more recently eCAVIAR and ENLOC.Here we derive a mathematical expression that allows us to compute the results of PrediXcan without the need to use individual-level data, greatly […]


The integrated landscape of causal genes and pathways in schizophrenia

PMCID: 5851982
PMID: 29540662
DOI: 10.1038/s41398-018-0114-x

[…] We utilized different approaches (including Sherlock, SMR, Prix Fixe, NetWAS, DEPICT and DAPPLE) to prioritize the plausible causal genes for schizophrenia. The overlapping genes represent promising plausible causal genes as they were supported […]


Comprehensive integrative analyses identify GLT8D1 and CSNK2B as schizophrenia risk genes

Nat Commun
PMCID: 5826945
PMID: 29483533
DOI: 10.1038/s41467-018-03247-3

[…] To explore whether the SCZ candidate genes identified by Sherlock are expressed in human brain, we assessed the expression profiling of these genes in diverse human brain tissues using the Gene Enrichment Profiler. We also explored the spatio-temporal expre […]


Ensemble genomic analysis in human lung tissue identifies novel genes for chronic obstructive pulmonary disease

Hum Genomics
PMCID: 5769240
PMID: 29335020
DOI: 10.1186/s40246-018-0132-z

[…] expression, we performed eQTL analysis in lung tissue samples from severe COPD cases and ex-smoker controls and integrated the findings with results from a prior GWAS []. We used the Bayesian method Sherlock [] to identify genes having collective associations within the significant and sub-threshold GWAS SNPs. To observe these genes in the overall context of genetic control of gene expression, we […]


A Pilot Genome Wide Association Study in Postmenopausal Mexican Mestizo Women Implicates the RMND1/CCDC170 Locus Is Associated with Bone Mineral Density

Int J Genomics
PMCID: 5559934
PMID: 28840121
DOI: 10.1155/2017/5831020

[…] We perform a primary analysis, to determine if any of the associated variants with femoral neck and lumbar spine BMD in the discovery sample has eQTL effects using Sherlock online tool [] and HaploReg []. In the Sherlock online tool, no significant genes were discovered in the analysis. We found evidence for two SNPs in the HaploReg, the rs6904364 at the RMND1 l […]


Integrating molecular QTL data into genome wide genetic association analysis: Probabilistic assessment of enrichment and colocalization

PLoS Genet
PMCID: 5363995
PMID: 28278150
DOI: 10.1371/journal.pgen.1006646

[…] ally suggests that the target gene of the eQTL may play an important role in the molecular pathway of the complex traits. Additionally, other types of available integrative analysis approaches, e.g., Sherlock [], PrediXcan [] and other similar approaches [, ], can also benefit from accurate colocalization analysis, either for improved power (as in the case of Sherlock) or better interpretation of […]

Want to access the full list of citations?
Sherlock institution(s)
Hao Li Laboratory, University of California, San Francisco, San Francisco, CA, USA

Sherlock reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review Sherlock