Genetic contribution of advantaged ancestors in the biparental Moran model–finite selection

Abstract We study a population of N individuals evolving according to a biparental Moran model with two types, one being advantaged compared to the other. The advantage is conferred by a Mendelian mutation, which reduces the death probability of individuals carrying it. We assume that a proportion a of individuals initially carry this mutation, which therefore eventually gets fixed with high probability. After a long time, we sample a gene uniformly from the population, at a new locus, independent of the locus under selection, and calculate the probability that this gene originated from one of the initially advantaged individuals, when the population size is large. Our theorem provides quantitative insights, such as the observation that under strong viability selection, if only 1% of the individuals are initially advantaged, up to 19% of the population’s genome will originate from them after a long time.

Authors

Institutions

Publication Details

Journal
Journal of Applied Probability
Published
2026-09-30
DOI
https://doi.org/10.1017/jpr.2026.10137
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Genetic contribution of advantaged ancestors in the biparental Moran model–finite selection

Camille Coron, Yves Le Jan
Journal of Applied Probability
Evolution and Genetic Dynamics
article

Genetic contribution of advantaged ancestors in the biparental Moran model–finite selection

Camille Coron, Yves Le Jan
article en

Abstract

Abstract We study a population of N individuals evolving according to a biparental Moran model with two types, one being advantaged compared to the other. The advantage is conferred by a Mendelian mutation, which reduces the death probability of individuals carrying it. We assume that a proportion a of individuals initially carry this mutation, which therefore eventually gets fixed with high probability. After a long time, we sample a gene uniformly from the population, at a new locus, independent of the locus under selection, and calculate the probability that this gene originated from one of the initially advantaged individuals, when the population size is large. Our theorem provides quantitative insights, such as the observation that under strong viability selection, if only 1% of the individuals are initially advantaged, up to 19% of the population’s genome will originate from them after a long time.

Journal of Applied Probability
Université Paris-Saclay (FR), Laboratoire de Mathématiques d'Orsay (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Mathématiques et Informatique Appliquées
Openalex Percentile: Top 100%
Evolution and Genetic Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Genetic contribution of advantaged ancestors in the biparental Moran model–finite selection — Camille Coron, Yves Le Jan · Journal of Applied Probability (2026) | TGRS Research Map | TGRS