MODY概率计算器适用于中国的MODY查:基于人口的研究
Jing Zhao1, Yan Chen2, Fuhui Ma3
1College of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China.
Journal of the Endocrine Society
|April 2, 2024
概括
年轻人成熟期糖尿病 (MODY) 需要进行基因检测以获得最佳治疗. MODY概率计算器 (MPC) 显示出比传统标准更好的性能,用于识别15-35岁的MODY患者.
科学领域:
- 遗传学 是一个遗传学.
- 内分泌学 在内分泌学.
- 糖尿病研究 糖尿病研究
背景情况:
- 年轻人成熟期糖尿病 (MODY) 的最佳治疗需要精确的基因检测.
- 在中国,对MODY的有效查策略尚未得到充分确立.
研究的目的:
- 验证当前查策略在识别MODY患者中的性能.
- 评估传统MODY标准和MODY概率计算器 (MPC) 在中国2型糖尿病队列中的有效性.
主要方法:
- 分析了1911年2型糖尿病患者 (15-35岁) 中的14个MODY基因.
- 使用美国医学遗传学与基因组学学院指导方针评估的变异.
- 模拟了传统的MODY标准和MPC,以评估其患者选择能力.
主要成果:
- 确定了42名具有致病性/可能致病性变异的参与者.
- 传统标准显示灵敏度低 (19.0%) 和缺失率高 (81.0%).
- 最佳切断值为40.7%的MPC表现出更好的灵敏度 (54.8%) 和PPV (6.1%),缺失率为45.2%.
结论:
- MODY概率计算器 (MPC) 在敏感性和MODY查的积极预测价值方面优于传统标准.
- 建议对15-35岁的2型糖尿病患者进行常规基因检测,MPC概率高于40.7%,以确保获得最佳MODY治疗.
相关概念视频
Mechanistic Models: Compartment Models in Individual and Population Analysis
39
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
39
Expected Frequencies in Goodness-of-Fit Tests
2.5K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
2.5K
Testing a Claim about Population Proportion
3.3K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.3K
Applications of Normal Distribution
5.0K
The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
5.0K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
126
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
126
Goodness-of-Fit Test
3.3K
The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
3.3K


