We examine surname distribution, origin, and association with Y-chromosome haplogroups in native communities from the Aleutian archipelago. The underlying hypothesis is that surnames and Y-chromosome haplogroups should be associated because both are paternally inherited markers. We used Lasker's coefficient of relationship through isonymy (R(ib) ) to identify the distribution of 143 surnames in the Aleutian Islands. The geographic distribution of surnames was explored both through frequency distribution and through the use of Mantel tests. Multidimensional scaling, chi-square, and Mantel tests were used to examine the relationship between surname and Y-chromosome markers. Overall, we observed that the distribution of surnames in the Aleutian archipelago is culturally driven rather than being one of paternal inheritance. Surnames follow a gradient from east to west, with high frequencies of Russian surnames found in western Aleut communities and high levels of non-Russian surnames found in eastern Aleut communities. A nonsignificant correlation (r = -0.0132; P = 0.436) was found between distance matrices based on haplogroups of the nonrecombining portion of the Y chromosome and surnames, although an association was found between non-Russian surnames and the predominantly non-Russian haplogroups (R1b, I1a, and I).
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http://dx.doi.org/10.3378/027.082.0514 | DOI Listing |
Med Care
February 2025
RAND, Health Care, Santa Monica, CA.
Background: Medicare Bayesian Improved Surname and Geocoding (MBISG), which augments an imperfect race-and-ethnicity administrative variable to estimate probabilities that people would self-identify as being in each of 6 mutually exclusive racial-and-ethnic groups, performs very well for Asian American and Native Hawaiian/Pacific Islander (AA&NHPI), Black, Hispanic, and White race-and-ethnicity, somewhat less well for American Indian/Alaska Native (AI/AN), and much less well for Multiracial race-and-ethnicity.
Objectives: To assess whether temporal inconsistency of self-reported race-and-ethnicity might limit improvements in approaches like MBISG.
Methods: Using the Medicare Health Outcomes Survey (HOS) baseline (2013-2018) and 2-year follow-up data (2015-2020), we evaluate the consistency of self-reported race-and-ethnicity coded 2 ways: the 6 mutually exclusive MBISG categories and individual endorsements of each racial-and-ethnic group.
Prev Med
December 2024
Department of Public Health Sciences, University of California Davis, Medical Sciences 1C, Davis, CA 95616, USA; UC Davis Comprehensive Cancer Center, 2279 45(th) Street, Sacramento, CA 95817, USA. Electronic address:
Objective: To observe stage at diagnosis and cancer-specific survival for common cancers among Armenians in California.
Methods: We used the Armenian Surname List and birthplace information in the California Cancer Registry to identify Armenians with stomach, lung, colorectal, and bladder cancers diagnosed during 1988-2019. We used multivariable logistic regression models to calculate odds of late-stage diagnoses among Armenian and non-Armenian, non-Hispanic White patients and examine the association of sociodemographic factors with late-stage diagnoses among the Armenian patient population.
PLoS One
December 2024
Physiotherapy Department, Korle bu Teaching Hospital, Accra, Ghana.
Background: Exercise is utilised by physiotherapists to prevent complications and improve overall function and quality of life post-burn. However, the effect of physiotherapist-led exercise has not been comprehensively reviewed. Consequently, this study aimed to investigate the effectiveness of physiotherapy exercises for persons' post-burn.
View Article and Find Full Text PDFIndian J Plast Surg
December 2024
Department of Plastic and Reconstructive Surgery, Saint Petersburg State Pediatric Medical University, Saint Petersburg, Russia.
To evaluate the possibility of improving and preventing the formation of postoperative hypertrophic and keloid scars using botulinum toxin type A (BTA). Scientific articles published in English have been systematically screened in PubMed/MEDLINE database over the entire period. The following information about the studies was analyzed: first author surname; year of publication; number of patients; average age; scar location; dosage of the drug administered; follow-up duration; scar assessment methods; results, incidence of hypertrophic and keloid scars formation.
View Article and Find Full Text PDFBiometrics
October 2024
RAND Corporation, Pittsburgh, PA 15213, United States.
Health care decisions are increasingly informed by clinical decision support algorithms, but these algorithms may perpetuate or increase racial and ethnic disparities in access to and quality of health care. Further complicating the problem, clinical data often have missing or poor quality racial and ethnic information, which can lead to misleading assessments of algorithmic bias. We present novel statistical methods that allow for the use of probabilities of racial/ethnic group membership in assessments of algorithm performance and quantify the statistical bias that results from error in these imputed group probabilities.
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