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Method for integrating and analyzing plasma proteome, genome and obesity related traits

A plasma protein and integrated analysis technology, applied in genomics, proteomics, instruments, etc., can solve the problems of small sample size, observational research is easily affected by confounding factors, and the impact of proteins cannot be fully evaluated

Pending Publication Date: 2022-03-15
SUZHOU UNIV
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Problems solved by technology

[0006] Disadvantages of existing technologies: 1) Observational studies are susceptible to confounding factors; 2) Observational studies cannot rule out the influence of reverse causality; 3) Existing studies cannot comprehensively evaluate the effects of proteins on different obesity-related traits (body composition ); 4) The sample size of the existing research is small, and the power of the test is insufficient

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  • Method for integrating and analyzing plasma proteome, genome and obesity related traits
  • Method for integrating and analyzing plasma proteome, genome and obesity related traits
  • Method for integrating and analyzing plasma proteome, genome and obesity related traits

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Embodiment

[0033] Example A method for integrated analysis of plasma proteome, genome and obesity-related traits

[0034] refer to figure 1 In the flow chart shown, in order to describe the technical solution more specifically, the steps described in this embodiment do not strictly correspond to the steps described in the summary of the invention.

[0035] 1. GWAS summary data preparation

[0036] Sample selection:

[0037] (1) Plasma proteome samples: Plasma protein is used as an exposure factor, and the summary results of GWAS (genome-wide association study) of 5 pQTL (protein quantitative trait loci) from existing studies. The results of existing studies are available in the following literature: Sun, B.B., et al., Genomic atlas of the human plasma proteome. Nature, 2018.558(7708):p.73-79.doi:10.1038 / s41586-018-0175 -2. and Emilsson, V., etal., Co-regulatory networks of human serum proteins link genetics to disease. Science, 2018. 361(6404): p.769-773. doi: 10.1126 / science.aaq1327....

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Abstract

The invention discloses a method for integrating and analyzing plasma proteome, genome and obesity-related traits. The method comprises the following steps: S1, obtaining whole genome associated summary data of the plasma proteome and whole genome associated summary data of the obesity-related traits; s2, screening out SNPs (Single Nucleotide Polymorphisms) which are in significant correlation with the plasma protein in a whole genome range; s3, screening the SNPs which are in significant correlation to obtain independent SNPs, and removing horizontal multiple effects from the independent SNPs; s4, performing double-sample Mendel randomization analysis, and inferring through causal association to obtain plasma protein having causal association with obesity-related traits; s5, performing system clustering analysis to evaluate a structure and a mode of significant causal association; and S6, carrying out gene enrichment analysis and pathway analysis to explore the functional relevance of obesity-related proteins. According to the method, the plasma protein which is causally associated with the obesity-related traits can be obtained, and the determined positive correlation or negative correlation between the plasma protein and the obesity-related traits can be obtained.

Description

technical field [0001] The invention belongs to the field of biotechnology, and in particular relates to a method for integrated analysis of plasma proteome, genome and obesity-related traits. Background technique [0002] Obesity is a chronic metabolic disease that has become a global epidemic and a major public health problem. Obesity has been linked to type 2 diabetes (T2D), high blood pressure, cardiovascular disease, certain forms of cancer, and more. In addition to the above-mentioned diseases, obesity will also bring many psychological problems and economic burdens. Relevant studies have shown that as of 2015, about 107.7 million children and 603.7 million adults worldwide were obese, with an overall prevalence of 5.0% and 12.0%, respectively. Overweight and obesity are reported to cause 2.8 million deaths per year, making them the fifth-highest risk of death worldwide. [0003] We often grade obesity using the Body Mass Index (BMI), which is calculated as the rati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16B20/20
CPCG16H50/30G16B20/20
Inventor 裴育芳韩白雪张垒
Owner SUZHOU UNIV
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