Ancestry informative single-nucleotide polymorphism (AISNP) panels for differentiating between East and Southeast Asian populations are scarce. This study aimed to identify AISNPs for ancestry assignment of five East and Southeast Asian populations, and Caucasians. We analyzed 145 autosomal SNPs of the 627 DNA samples from individuals of six populations (234 Taiwanese Han, 91 Filipinos, 79 Indonesians, 60 Thais, 71 Vietnamese, and 92 Caucasians) using arrays. The multiple logistic regression model and a multi-tier approach were used for ancestry classification. We observed that 130 AISNPs were effective for classifying the ethnic origins with fair accuracy. Among the 130 AISNPs, 122 were useful for stratification between these five Asian populations and 64 were effective for differentiating between Caucasians and these Asian populations. For differentiation between Caucasians and Asians, an accuracy rate of 100% was achieved in these 627 subjects with 50 optimal AISNPs among the 64 effective SNPs. For classification of the five Asian populations, the accuracy rates of ancestry inference using 20 to 57 SNPs for each of the two Asian populations ranged from 74.1% to 100%. Another 14 degraded DNA samples with incomplete profiling were analyzed, and the ancestry of 12 (85.7%) of those subjects was accurately assigned. We developed a 130-AISNP panel for ethnic origin differentiation between the five East and Southeast Asian populations and Caucasians. This AISNP set may be helpful for individual ancestral assignment of these populations in forensic casework.
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http://dx.doi.org/10.1007/s12024-017-9863-8 | DOI Listing |
JMIR Med Inform
January 2025
Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Background: Many tools have been developed to predict the risk of diabetes in a population without diabetes; however, these tools have shortcomings that include the omission of race, inclusion of variables that are not readily available to patients, and low sensitivity or specificity.
Objective: We aimed to develop and validate an easy, systematic index for predicting diabetes risk in the Asian population.
Methods: We collected the data from the NAGALA (NAfld [nonalcoholic fatty liver disease] in the Gifu Area, Longitudinal Analysis) database.
BMC Public Health
January 2025
School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhua Xi Road, Lixia District, Jinan, Shandong Province, China.
Background: Patients with chronic obstructive pulmonary disease (COPD) and sarcopenia experience poorer clinical prognosis. Although sedentary behaviour (SB) is common risk factor for COPD, its relationship with sarcopenia in this specific population remains unclear.
Methods: This is a cross-sectional survey of participants aged 40 and above with COPD, involving 27 communities and 2 hospitals' outpatient departments.
BMC Public Health
January 2025
Centre for Healthcare Management, Administrative Staff College of India (ASCI), Hyderabad, India.
Background: Substantial out-of-pocket (OOP) expenditures push a large portion of the population below the poverty line, especially those residing in rural areas having low incomes. Individuals from economically disadvantaged states in India incur higher healthcare costs for hospitalization in public health centers than do those from more developed states. Economically poorer households in states such as Bihar and Odisha face significantly higher OOP expenditures for hospitalization in public health centers than do those in economically developed states such as Tamil Nadu.
View Article and Find Full Text PDFBMC Geriatr
January 2025
School of Public Health, Shandong Second Medical University, Weifang, Shandong, China.
Background: Most existing studies focus on either the relationship between sarcopenia and depressive symptoms or sarcopenia and cognitive functions. Few studies have examined depressive symptoms and cognitive functions simultaneously. This study aimed to analyze the relationship between sarcopenia and both depressive symptoms and cognitive functions in the elderly by introducing activities of daily living to explore the mediating role of activities of daily living between sarcopenia and mental health.
View Article and Find Full Text PDFBMC Psychiatry
January 2025
Clinical Research Development Center, Imam Khomeini and Mohammad Kermanshahi and Farabi Hospitals, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Background: Glial cell line-derived neurotrophic factor (GDNF) has emerged as a potential biomarker for schizophrenia (SCZ). However, GDNF levels remain unclear in affected individuals compared to healthy controls. Therefore, we aimed to calculate a pooled estimate of GDNF levels in patients with SCZ in comparison with healthy controls.
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