FastQTL statistics

info info

Citations per year


Popular tool citations

chevron_left QTL mapping eQTL mapping chevron_right

Tool usage distribution map

Tool usage distribution map
info info

Associated diseases

Associated diseases
Want to access the full stats & trends on this tool?


FastQTL specifications


Unique identifier OMICS_10934
Name FastQTL
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS
Programming languages C++
Computer skills Advanced
Version 2-184
Stability Stable
Maintained Yes




No version available

Publication for FastQTL

FastQTL citations


Integration of human adipocyte chromosomal interactions with adipose gene expression prioritizes obesity related genes from GWAS

PMCID: 5904163
PMID: 29666371
DOI: 10.1038/s41467-018-03554-9

[…] in the cis-eqtl data by the gtex consortium (n = 277) for subcutaneous adipose tissue, filtered using their permutation test for significance, which used the adaptive permutation scheme in fastqtl and a permutation test p-value threshold equal to the empirical p-value of the gene closest to the fdr 5% threshold, as reported by gtex. only replicated adipose cis-eqtls and their target […]


Co occurring expression and methylation QTLs allow detection of common causal variants and shared biological mechanisms

PMCID: 5824840
PMID: 29476079
DOI: 10.1038/s41467-018-03209-9

[…] probes, 423 604 methylation probes, and 8 639 940 genotyped and imputed snps. snp and probes separated by <500 kb were tested for associationbeta distribution-adjusted empirical p-values from fastqtl were used to calculate q-values and a false-discovery rate (fdr) threshold of 0.01 was applied to identify eprobes/mecpgs with a significant eqtl/meqtla counts include snps in high ldb […]


Germline variation in ADAMTSL1 is associated with prognosis following breast cancer treatment in young women

PMCID: 5696339
PMID: 29158497
DOI: 10.1038/s41467-017-01775-y

[…] none of the index snps were associated with the expression of their flanking genes, snps in weak ld with rs12302097 were found to be nominally associated with the expression of chst11 (rs56372209, p fastqtl = 0.041, r 2 = 0.3) and txnrd1 (rs73183724, p fastqtl = 0.031, r 2 = 0.25, supplementary data ). using gtex we also found that several snps in complete ld with rs410155 including rs381706 […]


Genetic effects on gene expression across human tissues

PMCID: 5776756
PMID: 29022597
DOI: 10.1038/nature24277

[…] metrics. in addition, we have observed that little, if any, genetic signal is present in the peer factors ()., within each tissue, cis-eqtls were identified by linear regression, as implemented in fastqtl, adjusting for peer factors, sex, genotyping platform, and three genotype-based principal components (pcs). we restricted our search to variants within 1 mb of the tss of each gene and, […]


C reactive protein upregulates the whole blood expression of CD59 an integrative analysis

PMCID: 5609773
PMID: 28922377
DOI: 10.1371/journal.pcbi.1005766

[…] finally, nominal p-values pnom were transformed to permutation p-values by pperm = p(x > −log10(pnom)) where x ~ g(μ, β). this procedure is conceptually very similar to the one implemented in the fastqtl tool, where beta distribution is used to model the smallest non-transformed p-values []., second, to control for the number of genes tested, we used the bonferroni method. all snp and gene […]


Genetic regulatory effects modified by immune activation contribute to autoimmune disease associations

PMCID: 5559603
PMID: 28814792
DOI: 10.1038/s41467-017-00366-1

[…] conditions (baseline, lps90min, lps6h, rna90min, rna6h, mdp90min, mdp6h) were available for 134 donors. eqtl mapping was performed for snps located within 1 mb of the gene expression probe using fastqtl. significance of the most highly associated variant per gene was estimated by adaptive permutation with the setting “--permute 100 10000”. permutation p-values obtained via beta approximation […]

Want to access the full list of citations?
FastQTL institution(s)
Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland; Swiss Institute of Bioinformatics, Geneva, Switzerland; NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Norway
FastQTL funding source(s)
This research is supported by grants from European Commission SYSCOL FP7, European Research Council, Louis Jeantet Foundation, Swiss National Science Foundation, SystemsX, the NIHNIMH (GTEx) and Helse Sør Øst.

FastQTL reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review FastQTL