FastQTL specifications
- Unique identifier:
- OMICS_10934
- Interface:
- Command line interface
- Operating system:
- Unix/Linux, Mac OS
- Computer skills:
- Advanced
- Stability:
- Stable
- Software type:
- Package/Module
- Restrictions to use:
- None
- Programming languages:
- C++
- Version:
- 2-184
- Maintained:
- Yes
versioning
No versioning.
FastQTL distribution
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Can someone please explain in detail the meaning of the following section of the paper
2.2 Finding a candidate QTL per phenotype
For simplicity, we will focus on a single molecular phenotype P quantified in a set of N samples. Let G be the set of genotype dosages at L variant sites located within a cis-window of 6 W Mb of the genomic location of P. To discover the best candidate QTL for P, FastQTL measures Pearson product-moment correlation coefficients between P and all L variants in G, stores the most strongly correlated variant q [ G as candidate QTL, and assesses its significance by calculating a nominal P-value pn with standard significance tests for Pearson correlation. How can this be affected by a test where only one SNP and its LD proxies (r=0.8) is tested. Thanks!
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Credits
Publications
-
(Ongen et al., 2016)
Fast and efficient QTL mapper for thousands of molecular phenotypes.
Bioinformatics.
PMID: 26708335 DOI: 10.1093/bioinformatics/btv722
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
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.
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