X-Meeting presentations

TRACKING SEX-BIASED ADMIXTURE DYNAMICS IN RECENTLY ADMIXED POPULATIONS

Published in 21/11/2024 - ISBN: 978-65-272-0843-3

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Paper Title
TRACKING SEX-BIASED ADMIXTURE DYNAMICS IN RECENTLY ADMIXED POPULATIONS
Authors
  • Ivan Gomes da Cruz
  • Eduardo Martin Tarazona Santos
  • Lucas Faria Costa
  • Pedro Baptista
  • Hanaisa de Pla e Sant Anna
Modality
Poster
Subject area
DNA and Genomics
Publishing Date
21/11/2024
Country of Publishing
Brazil | Brasil
Language of Publishing
Inglês
Paper Page
https://www.even3.com.br/anais/xmeeting-2024/832118-tracking-sex-biased-admixture-dynamics-in-recently-admixed-populations
ISBN
978-65-272-0843-3
Keywords
Ancestry, Sex bias, Baesian Computation, Modeling
Summary
We present SAMBA, a novel approach designed to track the temporal trajectories of male and female ancestral contributions within recently admixed populations. The method aims to elucidate the intricate dynamics of ancestry-related sex-biased admixture, observed across continents like the Americas, Asia, and Africa. We define sex bias in an admixed population originated from two parental populations A and B as the scenario in which the male contribution of population A is lower than the female contribution of the same population and also lower than the male contribution of population B. Despite the effectiveness of traditional genetic methods in detecting this phenomenon, its frequency and persistence throughout admixture history have remained limited by historical records. SAMBA employs Approximate Bayesian Computation within the Markov Chain Monte Carlo framework to infer possible scenarios of admixture dynamics over past centuries, particularly focusing on the Brazilian population. This population is a compelling case study due to its complex ancestry resulting from admixture between Europeans, Africans, and Native Americans. The statistic SAMBA measures evidence of sex bias over time, starting from the sex-specific inheritance pattern of X-chromosomes, preserving deviations from Hardy-Weinberg Equilibrium caused by sex-biased admixture over multiple generations. Mathematically, SAMBA quantifies sex bias by comparing the odds of sex bias resulting from different population matings against the odds of positive assortative mating. Its formulation involves comparing the contributions of males and females from different populations to the resulting population, thereby discerning scenarios where one population's male contribution is lower than both the female contribution of the same population and the male contribution of the other population. Validation of SAMBA involved testing across ten scenarios encompassing various proportions and types of matings between pairs of parental populations. Results indicate SAMBA's efficacy in providing researchers with a powerful tool to navigate the complexities of mating choices within the evolutionary history of populations, thereby uncovering previously obscured facets of their ancestry. In conclusion, SAMBA offers a promising avenue for investigating sex-biased admixture dynamics, shedding light on the complex interplay between genetic contributions from males and females in recently admixed populations.
Title of the Event
20º Congresso Brasileiro de Bioinformática: X-Meeting 2024
City of the Event
Salvador
Title of the Proceedings of the event
X-Meeting presentations
Name of the Publisher
Even3
Means of Dissemination
Meio Digital

How to cite

CRUZ, Ivan Gomes da et al.. TRACKING SEX-BIASED ADMIXTURE DYNAMICS IN RECENTLY ADMIXED POPULATIONS.. In: X-Meeting presentations. Anais...Salvador(BA) Hotel Deville Prime, 2024. Available in: https//www.even3.com.br/anais/xmeeting-2024/832118-TRACKING-SEX-BIASED-ADMIXTURE-DYNAMICS-IN-RECENTLY-ADMIXED-POPULATIONS. Access in: 09/05/2025

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