Multi-factor model for predicting breast cancer onset risk and establishing method of multi-factor model

Abstract

The invention discloses a multi-factor model for predicting a breast cancer onset risk and an establishing method of the multi-factor model. The establishing method of the multi-factor model comprises screening gene detection, wherein the screening comprises the following steps: (1) collecting and treating a peripheral blood sample; (2) establishing library DNA of the sample, and performing computer sequencing on a Hiseq sequencing platform; (3) performing biological information analysis on computer data, and finding pathogenic mutation; (4) sequencing mutation sites by using a golden standard Sanger sequencing technique, thereby obtaining accurate gene mutation information. By adopting the multi-factor model which is disclosed by the invention and is used for predicting the breast cancer onset risk, a part of people can be screened and diagnosed at an early stage, active interference measures can be taken, and the multi-factor model is particularly applicable to prediction on high-risk people suffering from familial breast cancer.

Description

technical field [0001] The present invention relates to the field of risk assessment of breast cancer, in particular to a multi-factor model for breast cancer risk prediction constructed by using multiple high-risk factors combined with germline gene mutations and its establishment method, especially suitable for familial breast cancer Prediction of high-risk groups. Background technique [0002] Breast cancer is one of the most common malignant tumors in women. According to the 2014 China Cancer Registry Annual Report, the incidence of breast cancer in China reached 42.55 / 100,000 in 2012, and increased at a rate of 2-3% per year, especially in urban areas. Early age of menarche, late age of menopause, infertility, overnutrition, obesity, diet, family history of breast cancer and other risk factors are related to the incidence of breast cancer. Family history is one of the most definite high-risk factors for breast cancer, and familial breast cancer accounts for a consider...

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Problems solved by technology

The disadvantage is that the application effect of this model in Asian female population is still lack of relevant evidence

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