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Updated: Jul 20, 2025

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通过罕见的平分类型和模式挖掘来精细化乳腺癌的遗传风险

William Letsou1,2, Fan Wang2, Wonjong Moon2

  • 1Department of Biological & Chemical Sciences, New York Institute of Technology, Old Westbury, NY, USA wletsou@nyit.edu.

Life science alliance
|August 4, 2023
PubMed
概括

罕见的遗传模式,或单质类型,显著影响乳腺癌的风险,精细了解超越常见的变体. 这一发现为遗传性倾向研究提供了新的途径.

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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