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QTLbase: an integrative resource for quantitative trait loci across multiple human molecular phenotypes.

ABSTRACT: Recent advances in genome sequencing and functional genomic profiling have promoted many large-scale quantitative trait locus (QTL) studies, which connect genotypes with tissue/cell type-specific cellular functions from transcriptional to post-translational level. However, no comprehensive resource can perform QTL lookup across multiple molecular phenotypes and investigate the potential cascade effect of functional variants. We developed a versatile resource, named QTLbase, for interpreting the possible molecular functions of genetic variants, as well as their tissue/cell-type specificity. Overall, QTLbase has five key functions: (i) curating and compiling genome-wide QTL summary statistics for 13 human molecular traits from 233 independent studies; (ii) mapping QTL-relevant tissue/cell types to 78 unified terms according to a standard anatomogram; (iii) normalizing variant and trait information uniformly, yielding >170 million significant QTLs; (iv) providing a rich web client that enables phenome- and tissue-wise visualization; and (v) integrating the most comprehensive genomic features and functional predictions to annotate the potential QTL mechanisms. QTLbase provides a one-stop shop for QTL retrieval and comparison across multiple tissues and multiple layers of molecular complexity, and will greatly help researchers interrogate the biological mechanism of causal variants and guide the direction of functional validation. QTLbase is freely available at http://mulinlab.org/qtlbase.

SUBMITTER: Zheng Z

PROVIDER: S-EPMC6943073 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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QTLbase: an integrative resource for quantitative trait loci across multiple human molecular phenotypes.

Zheng Zhanye Z Huang Dandan D Wang Jianhua J Zhao Ke K Zhou Yao Y Guo Zhenyang Z Zhai Sinan S Xu Hang H Cui Hui H Yao Hongcheng H Wang Zhao Z Yi Xianfu X Zhang Shijie S Sham Pak Chung PC Li Mulin Jun MJ

Nucleic acids research 20200101 D1

Recent advances in genome sequencing and functional genomic profiling have promoted many large-scale quantitative trait locus (QTL) studies, which connect genotypes with tissue/cell type-specific cellular functions from transcriptional to post-translational level. However, no comprehensive resource can perform QTL lookup across multiple molecular phenotypes and investigate the potential cascade effect of functional variants. We developed a versatile resource, named QTLbase, for interpreting the ...[more]

PMID: 31598699

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Dataset Information

QTLbase: an integrative resource for quantitative trait loci across multiple human molecular phenotypes.

Publications

QTLbase: an integrative resource for quantitative trait loci across multiple human molecular phenotypes.

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