Methodology deep-dives, population spotlights, and engineering notes from the Ancestrify team, qpAdm modelling, ancient DNA panels, and how genetic ancestry analysis really works.
The services that turn a 23andMe, AncestryDNA or whole-genome file into an ancient-ancestry result in 2026, compared on the criteria that decide the answer: a test with a p-value or a ranking, official or simulated Global25 coordinates, published source panels, whole-genome input, and the price model as each site states it.
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Looking for a DNAGENICS alternative? The reasons people look (a G25-derived row instead of the official one, pack pricing, no formal test) and which services answer each, with every DNAGENICS fact read on dnagenics.com on 2026-09-06.
Looking for a Genoplot alternative? The three reasons people look (a yearly credit budget, simulated Geno25 coordinates, qpAdm you have to drive yourself) and which services answer each, with every Genoplot fact read on genoplot.com on 2026-09-06.
A first-person answer to "is Ancestrify legit": the registered trader behind it, what each of the three analyses delivers and costs, where the data lives, how refunds work, what it never claims, and how to verify every statement yourself.
Have Global25 coordinates? Contribute your row to the public modern G25 dataset and get a free report at once: admixture per era, closest populations and notable matches. No payment.
Turkish ancestry through ancient DNA: the Anatolian farmer substrate, the Southern Arc results, Byzantine Anatolia, the modest Turkic layer and qpAdm.
Amazigh and Maghrebi ancestry through ancient DNA: Taforalt, the Neolithic farmers, the Guanche genomes, Arab-era gene flow, the Saharan gradient and qpAdm.
Somali ancestry through ancient DNA: the East African Pastoral Neolithic, the Ethio-Somali component, Arabian contacts and how to model it with qpAdm.
Punjabi ancestry through ancient DNA: the Indus Periphery and Rakhigarhi genomes, AASI, the Steppe MLBA layer, the Swat Iron Age references and qpAdm.
What ancient genomes say about Pashtun ancestry: Iranian farmer, AASI and Steppe streams, the Swat valley references, and the legends DNA cannot confirm.
What genomes say about Bengali ancestry: a strong AASI share, a Southeast Asian layer from Austroasiatic and Tibeto-Burman speakers, and the gaps in the data.
What genomes say about Mexican and Latino ancestry: the peopling of the Americas, Indigenous Mexican structure, post-1519 admixture and diaspora variation.
What genomes say about African American ancestry: West and West Central African source regions, the European share and its sex bias, and the ancient DNA gap.
Every service that sells or offers a Global25 (G25) analysis in 2026, side by side: what each computes, whether the coordinates are official, whether the source panels are published, whether anyone builds a calculator around your own row, and the price model as each site states it.
Every place that sells, obtains or simulates Global25 (G25) coordinates in 2026, side by side: the official portal, the done-for-you route, derived rows and free simulations, with prices as each site states them.
A structured learning path through everything qpAdm — what to read in what order, from the f4-statistics underneath to running models in R, choosing outgroups, reading results and knowing the method's measured limits.
The definitive working checklist for qpAdm in 2026 — temporal stratification, right-set construction, lowest-rank-first search, composite feasibility and reporting standards — each rule carrying its measured justification from the 2021–2025 audit literature.
qpAdm has been audited harder than any tool in ancient DNA: measured false-discovery rates, resolution floors, protocol failures. What the 2021–2025 criticism literature actually established, what survived it, and how practice changed.
The Middle East is where qpAdm's sources crowd closest together: Natufian, Anatolian, Iranian and Caucasus ancestries all interrelated. The working recipe, the right set that splits them, failure modes and a worked reading.
South Asia is qpAdm's hardest standard fixture: one ancestral stream has no ancient sample at all. The working recipe — Indus Periphery, steppe MLBA, the Onge-as-AASI-proxy problem — with right sets, failure modes and a worked reading.
The three-source model that rebuilt European prehistory — WHG, Anatolian farmers, steppe pastoralists — as a working qpAdm recipe: exact source and right-set choices, regional adjustments, failure modes and a worked reading.
qpAdm says how much; linkage-disequilibrium decay says when. How DATES and ALDER read generation counts out of chromosome fragment lengths, what the dates mean, and how a date corroborates or breaks a qpAdm model.
Before qpAdm there was the f4-ratio — one number, two f4-statistics, an ancestry proportion. How the classic estimator works, the famous results built on it, and the precise trade against qpAdm.
qpAdm's bigger sibling models whole population histories as trees with admixture edges. How qpGraph works, what find_graphs automates, and the 2023 finding that reshaped how graph results should be read.