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QTLbase: an integrative resource for quantitative trait loci across multiple human molecular phenotypes.
Zheng, Zhanye; Huang, Dandan; Wang, Jianhua; Zhao, Ke; Zhou, Yao; Guo, Zhenyang; Zhai, Sinan; Xu, Hang; Cui, Hui; Yao, Hongcheng; Wang, Zhao; Yi, Xianfu; Zhang, Shijie; Sham, Pak Chung; Li, Mulin Jun.
Afiliação
  • Zheng Z; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medic
  • Huang D; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medic
  • Wang J; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medic
  • Zhao K; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medic
  • Zhou Y; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medic
  • Guo Z; School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR 999077, China.
  • Zhai S; School of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China.
  • Xu H; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medic
  • Cui H; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medic
  • Yao H; School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR 999077, China.
  • Wang Z; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medic
  • Yi X; School of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China.
  • Zhang S; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medic
  • Sham PC; Centre of Genomics Sciences, State Key Laboratory of Brain and Cognitive Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR 999077, China.
  • Li MJ; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medic
Nucleic Acids Res ; 48(D1): D983-D991, 2020 01 08.
Article em En | MEDLINE | ID: mdl-31598699
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Característica Quantitativa Herdável / Genômica / Bases de Dados Genéticas / Locos de Características Quantitativas / Estudo de Associação Genômica Ampla / Genótipo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Característica Quantitativa Herdável / Genômica / Bases de Dados Genéticas / Locos de Características Quantitativas / Estudo de Associação Genômica Ampla / Genótipo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article