Dataset Information

Genetic analysis of 32 InDels in four ethnic minorities from Chinese Xinjiang.

ABSTRACT: The present study used the previously constructed 32-plex InDels panel to investigated the genetic diversity of four ethnic minorities (Hui, Mongol, Uygur and Kazakh) from Xinjiang, and analyzed the genetic relationships between the four populations and 27 reference populations. No significant deviations were observed from the Hardy-Weinberg equilibrium (HWE) at the 32 InDels for each population. The average observed heterozygosity (Hexp), average polymorphic information content (PIC), combined power of discrimination (CPD) and cumulative probability of exclusion (CPE) for the 32 InDels were all higher than the Qiagen Investigator DIPplex kit in the four populations from Xinjiang. The CPD ranged from 0.999999999999903 (Kazakh) to 0.999999999999952 (Hui) and CPE ranged from 0.9971 (Uygur) to 0.9985 (Hui), which indicated that the 32 InDels were capable for individual identification and could be a supplementary tool in paternity test for these populations. Population genetic analysis by the method of analysis of molecular variance (AMOVA), FST, phylogenetic tree, TreeMix-based topology, multi-dimensional scale analysis (MDS), principal components analysis (PCA) and STRUCTURE analysis showed that Xinjiang Hui population has a close relationship with East Asians (EAS), especially Chinese Han, and the populations of Xinjiang Mongol, Uygur and Kazakh showed mixed ancestral components related to EAS and Europeans (EUR).

SUBMITTER: Huang Y

PROVIDER: S-EPMC8061914 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundIn China, there has never been a comprehensive analysis of lung cancer-associated genetic mutations focused on ethnic minorities in the southwestern region. Our study aimed to provide valuable information on lung cancer-associated genetic alterations for cancer diagnosis and treatment, especially in ethnic minorities.MethodsRetrospective data acquisition was conducted spanning 3 years (2016.01-2019.06) among all patients who were diagnosed with lung cancer at the Third Affiliated Hospital of Kunming Medical University Hospital. A total of 5,167 patients including 373 ethnic minorities were included in this study. Propensity score matching (PSM) was used to eliminate the bias between Han and other ethnic minorities, including gender, age, smoking history, metastasis status, clinical stage, histological type, sample type, region, and Xuanwei origin. All tests were two-tailed, and significance was defined as P less than 0.05.ResultsIn terms of the prevalence of EGFR, EGFR L858R, EGFR T790M, ROS1, RET, MET, BRAF, and ERBB2 mutations, there was no significant difference among ethnic groups in Yunnan Province (P>0.05). A higher proportion of EGFR 19 deletion was observed in Hui patients with lung cancer compared with patients of other ethnicities in Yunnan (P=0.048). The prevalence of KRAS mutations was higher in Hani (17.65%, 3/17) and Han patients (11.44%, 80/699) than that in other Yunnan ethnicities (6.04%, 9/149; P=0.07). In Hui patients, ALK fusion was correlated with a history of non-smoking and male gender. In Bai patients, BRAF mutation was also correlated with a history of non-smoking. In all ethnic groups, EGFR mutation was more frequent in women.ConclusionsThis study is the first in-depth large case-control study on genetic mutation profiles among multi-ethnic patients in southwestern China, especially focused on ethnic minorities in this area. Our study may facilitate the understanding of the etiology of this malignant disease and consequently help to reduce the incidence of lung cancer in Yunnan ethnic minority areas.

Project description:BackgroundNo studies have assessed the association between sleep duration and obesity in Chinese ethnic minorities. Whether the relationship between sleep duration and obesity is different between Chinese Han people and Chinese ethnic minorities remains unclear. The study aimed to explore the relationship between sleep duration and obesity among Chinese Han people and Chinese ethnic minorities.MethodsWe applied data from the Guizhou Population Health Cohort Study (GPHCS), which 9,280 participants were recruited in the baseline survey from 2010 to 2012, and 8,163 completed the follow-up survey from 2016 to 2020. A total of 5,096 participants (3,188 Han Chinese and 1,908 ethnic minorities) were included in the ultimate analysis. Information on sleep duration (total 24-hour sleep time), body mass index (BMI), and waist circumference (WC) was collected at the baseline and follow-up survey, respectively. Cross-lagged panel analyses were conducted to explore the temporal relationship between sleep duration and obesity for Han people and ethnic minorities.ResultsFor Han people, the results from cross-lagged panel analyses indicated that baseline sleep duration was significantly associated with follow-up BMI (βBMI = -0.041, 95% CIBMI: -0.072 ~ -0.009) and follow-up WC (βWC = -0.070, 95%CIWC: -0.103 ~ -0.038), but baseline BMI (βBMI = -0.016, 95% CIBMI: -0.050 ~ 0.018) and baseline WC (βWC = -0.019, 95% CIWC: -0.053 ~ 0.016) were not associated with follow-up sleep duration. In addition, the relationship between baseline sleep duration and follow-up BMI was gender-specific and significant only in the Han people female (βBMI = -0.047, 95% CIBMI: -0.090 ~ -0.003) but not in the Han people male (βBMI = -0.029, 95% CIBMI: -0.075 ~ 0.016). For ethnic minorities, the results indicated that there was no relationship between sleep duration and obesity at all, either from sleep duration to obesity (βBMI = 0.028, 95%CIBMI: -0.012 ~ 0.068; βWC = 0.020, 95%CIWC: -0.022 ~ 0.062), or from obesity to sleep duration (βBMI = -0.022, 95%CIBMI: -0.067 ~ 0.022; βWC = -0.042, 95%CIWC: -0.087 ~ 0.003).ConclusionThe relationship pattern between sleep duration and obesity across Han people and ethnic minorities is different. Future sleep-aimed overweight and obesity intervention should be conducted according to population characteristics.

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Genetic analysis of 32 InDels in four ethnic minorities from Chinese Xinjiang.

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