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SNPs associated with polycystic ovary syndrome, chips comprising the same and use thereof

A chip and probe set technology, applied in the field of SNP, which can solve problems such as complex interactions

Active Publication Date: 2014-05-28
SHANDONG UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Genetic predisposition has long been recognized as one of the mechanisms, but there are complex interactions between genetic and environmental factors
Association studies have been performed on at least 70 candidate genes mainly involved in reproductive hormones, insulin resistance, and chronic inflammation, such as follicle-stimulating hormone receptor (FSHR), cytochrome P450 family 11A (CYP11A), insulin receptor ( INSR) and interleukin 6 (IL-6) 11-15 ; however, no gene was associated with PCOS 16

Method used

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  • SNPs associated with polycystic ovary syndrome, chips comprising the same and use thereof
  • SNPs associated with polycystic ovary syndrome, chips comprising the same and use thereof
  • SNPs associated with polycystic ovary syndrome, chips comprising the same and use thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] Example 1: Genome-wide correlation study

[0031] To identify the genetic susceptibility loci for PCOS in the Chinese Han population, the inventors conducted a GWA study genotyping 906,600 SNPs in 744 affected individuals (cases) and 895 controls on ANFY SNP6.0 . After QC filtering, a total of 649,264 SNPs were retained and analyzed statistically. The genome inflation factor (λ = 1.097) indicated very slight inflation due to population-stratified GWAS results, whereas MDS analysis demonstrated no apparent population basis. Initial analysis revealed 3 distinct loci (2p16.3, 2p21 and 9q33.3, including 15 SNPs) showing significant genome-wide associations (P-8 ). The most significant SNP at these loci was rs13405728 in the gene LHCGR (2p16.3) (allelic P-value=1.29×10 -8 ; odds ratio, 0.61), rs12468394 in the gene THADA (2p21) (allele P value = 3.99 × 10 -10 ; odds ratio, 0.60) and rs10986105 in the gene DENND1A (9q33.3) (allele P value = 9.78 × 10 -10 ; odds ratio, 2....

Embodiment 2

[0032] Example 2: Repeating the study

[0033] To confirm the findings of the GWAS, the inventors analyzed the 28 SNPs (which showed the strongest association in the GWAS (P-6 )) were genotyped (Table 2): Series 1 included an independent sample set of 2840 PCOS cases and 5012 controls from Han Chinese in northern China; Series 2 included an additional 498 PCOS cases from Han Chinese in central and southern China and 780 controls. In series 1 replicates, 28 of 29 SNPs were confirmed. All selected SNPs (1 SNP in the gene LHCGR, 21 SNPs in the gene THADA and 6 SNPs in the gene DENND1A) found in these susceptibility loci in GWAS were confirmed with p-values ​​ranging from 1.18 × 10 -7 to 5.55×10 -16 . In addition, 20 SNPs were positive in the series 2 replicate study, the most significant SNP being rs13405728 in the gene LHCGR (p-value = 7.93 × 10 -7 )(Table 2).

Embodiment 3

[0034] Embodiment 3: Combination analysis

[0035] In addition to correlation testing for each replicate set, the inventors performed a combined analysis of the GWAS data using meta-analysis. The Mantel-Haenszel method was used to estimate the pooled odds ratios for all strata as a fixed effects model. After combining GWAS and replicate data, the most significant association was observed at the following SNP: rs13429458 (2p21, P meta =1.73×10 -23 , odds ratio=0.67, 95%CI:0.62-0.72), rs13405728 (2p16.3, P meta =7.55×10 -21 , odds ratio=0.71, 95%CI:0.67-0.77) and rs2479106 (9q33.3, P meta =8.12×10 -19 , odds ratio=1.34, 95%CI:1.26-1.43) (Table 2, figure 2 ). All selected SNPs in these three susceptibility loci showed significant associations (p-values ​​ranging from 2.36 × 10 -13 to 1.73×10 -23 ). The results of the binding assay strongly support that variants in the genes LHCGR, THADA, DENND1A are associated with susceptibility to PCOS.

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Abstract

The present invention discloses SNP markers associated with PCOS and provides probes, chips, primers, kits and methods for detecting the SNP markers. Furthermore, the present invention relates to the use of SNPs in predicting or diagnosing the risk of PCOS.

Description

technical field [0001] The present invention relates to SNP related to polycystic ovary syndrome, chip containing SNP and application thereof. Background technique [0002] Polycystic ovary syndrome is a clinical condition characterized by the presence of two or more of the following features: long-term oligo- or anovulation, androgen excess, and polycystic ovaries 1 . The leading cause of anovulatory infertility, PCOS affects 6-8% of women of reproductive age 2-3 . Furthermore, PCOS is associated with important endocrine-metabolic disturbances and a wide range of adverse sequelae including dyslipidemia, atherosclerosis, insulin resistance, and type 2 diabetes 4-6 )related. About 50% of women with PCOS have insulin resistance 7 . About 20% of women with impaired glucose tolerance (IGT) and diabetes admit to having PCOS at a young age 8-10 . [0003] The pathogenesis of PCOS has not been fully understood yet. Genetic predisposition has long been considered as one of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12N15/12C12N15/11C12Q1/68
CPCC12Q1/6883C12Q2600/156C12Q1/6886C12Q2600/172
Inventor 陈子江贺林师咏勇马金龙赵跃然赵涵石玉华耿玲游力
Owner SHANDONG UNIV