Aiyar Lila, Shuman Cheryl, Hayeems Robin, Dupuis Annie, Pu Shuye, Wodak Shoshana, Chitayat David, Velsher Lea, Davies Jill
1] Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada [2] Department of Pediatrics, Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, Ontario, Canada [3] Fetal Diagnostic Center, Kapiolani Medical Center for Women and Children, Honolulu, Hawaii, USA.
1] Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada [2] Department of Pediatrics, Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Genet Med. 2014 Mar;16(3):231-7. doi: 10.1038/gim.2013.115. Epub 2013 Sep 5.
Personal genome testing allows the identification of single-nucleotide polymorphisms associated with an increased risk for common complex disorders. An area of concern in the use of personal genome testing is how risk estimates generated differ from traditional measures of risk (e.g., family history analysis). We sought to analyze the concordance of risk estimates generated by family history analysis and by personal genome testing.
Risk categorizations for 20 complex conditions included in Navigenics personal genome testing were compared with risk categorization estimates derived from family history assessment using the kappa (κ) statistic.
The only conditions showing slight agreement between risk assessment methods were Alzheimer disease (κ = 0.131), breast cancer (κ = 0.154), and deep vein thrombosis (κ = 0.201) in females, and colon cancer (κ = 0.124) in males. Eighty-six individuals (11.4%) were found to have additional genetic risks not assessed by personal genome testing after family and medical history assessment, including 38 individuals with family histories suggestive of hereditary cancer syndromes.
Discordance between personal genome testing and family history risk estimates suggests that these methods may provide independent information that could be used in a complementary manner. Results also support that eliciting family history adds value to overall risk assessment for individuals undergoing personal genome testing.
个人基因组检测能够识别与常见复杂疾病风险增加相关的单核苷酸多态性。个人基因组检测使用过程中一个令人担忧的领域是,所产生的风险估计与传统风险衡量方法(如家族史分析)有何不同。我们试图分析家族史分析和个人基因组检测所产生的风险估计的一致性。
使用kappa(κ)统计量,将Navigenics个人基因组检测中包含的20种复杂疾病的风险分类与家族史评估得出的风险分类估计进行比较。
风险评估方法之间仅在以下疾病上显示出轻微一致性:女性中的阿尔茨海默病(κ = 0.131)、乳腺癌(κ = 0.154)和深静脉血栓形成(κ = 0.201),以及男性中的结肠癌(κ = 0.124)。在进行家族史和病史评估后,发现86名个体(11.4%)存在个人基因组检测未评估的额外遗传风险,其中38名个体的家族史提示遗传性癌症综合征。
个人基因组检测与家族史风险估计之间的不一致表明,这些方法可能提供可互补使用的独立信息。结果还支持,获取家族史对接受个人基因组检测的个体的总体风险评估具有附加价值。