🌴 New: Karukera, your Caribbean Creole roots Built for 8 Caribbean communities: Haitian, Jamaican, Dominican, Puerto Rican, Trinidadian (Afro & Indo), Guadeloupean & Cuban. Indigenous Taino, West/Central African & Colonial-era ancestry, weighted together as one regional core.
Discover Karukera
🧬 UPDATED: DNA Mega-Analysis, new improved version, just €25 Our most complete report, rebuilt into one unified PDF with a real table of contents: Neanderthal %, DNA traits, nutrition, ROH, ancient & modern breakdown, plus a premium AI synthesis.
Discover DNA Mega-Analysis
🎯 Discover our 14 G25 Focus reports One heritage, one deep dive: Thalassa (Mediterranean islands), Am Yisrael (Jewish), Balkan Frontier, Ararat (Levant & Caucasus), Drom (Roma), Sankofa (African diaspora), Raíces (Latin America), El Gringo (USA/Canada), France Profonde & Nordsee (North Sea Germanic), Simorgh (Iranian Plateau), Sindhu (South Asia), Fenghuang (Sinosphere) & Lapita (Austronesian & Pacific).
Browse Focus reports
🐦‍🔥 New: Fenghuang, your Sinosphere roots Built for 8 East Asian communities: Han (North, South, Fujian), Korean, Japanese, Vietnamese, Manchu & Zhuang. Real ancient regional core, period by period, in 7 languages.
Discover Fenghuang
🃏 New: Legend Check · €7 Got a family legend? Viking blood, a Romani ancestor, whatever the story is. Pick up to 10 legends and see what your DNA actually says.
Test your family legends

Study Information

2026
Africa

Abstract

The deep history of human evolution in Africa remains intensely debated, with increasingly complex models being proposed. To investigate this, we sequenced and analysed 73 novel high-quality whole genomes from 14 Central and Southern African populations with diverse cultural practices. Using extensive simulations and machine-learning Approximate Bayesian Computation (ABC), we jointly reconstructed their demographic history of divergences and migrations. We find extensive genome-wide diversity within and among populations, including substantial local genetic differentiation not fully explained by geography or cultural practices. These patterns highlight the importance of explicitly considering local genomic diversity when reconstructing human evolutionary history. We find that tree-like population histories with long periods of drift separated by short pulses of unidirectional gene-flow better explain the data than continuous gene-flow. Without invoking archaic admixture, our models accurately fit observed genomic variation and identify multiple episodes of gene-flow coinciding with major ecological and cultural changes in Sub-Saharan Africa.

We use cookies to enhance your experience. By continuing to visit this site you agree to our use of cookies. Learn more

🧭 Find your report
📬 Stay in the loop

New tools and new reports, straight to your inbox. No spam, unsubscribe anytime.