Integrating Genome-Wide Association and eQTLs Studies Identifies the Genes and Gene Sets Associated with Diabetes.

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Integrating Genome-Wide Association and eQTLs Studies Identifies the Genes and Gene Sets Associated with Diabetes.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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2017年學術文章

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2017年學術文章

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Integrating Genome-Wide Associ ...... Sets Associated with Diabetes.

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Integrating Genome-Wide Associ ...... Sets Associated with Diabetes.

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Integrating Genome-Wide Associ ...... Sets Associated with Diabetes.

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P1476

Integrating Genome-Wide Associ ...... Sets Associated with Diabetes.

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P2093

Awen He

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Jingcan Hao

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Li Liu

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Ping Li

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Qianrui Fan

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Wenyu Wang

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Xiong Guo

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Yan Wen

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Yanan Du

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P2860

A genome-wide association study of the metabolic syndrome in Indian Asian men

Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes

Global prevalence of diabetes: estimates for the year 2000 and projections for 2030

Systematic identification of trans eQTLs as putative drivers of known disease associations

Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes.

A new multipoint method for genome-wide association studies by imputation of genotypes

Mapping adipose and muscle tissue expression quantitative trait loci in African Americans to identify genes for type 2 diabetes and obesity.

Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets.

P304

1758636

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scholarly article

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10.1155/2017/1758636

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P407

English

P478

2017

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P50

Feng Zhang

Xiao Liang

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2017-06-28T00:00:00Z

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P698

28744461

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P921

genome-wide association study

P932

5506468

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