Evidence map›Paper›PMID 26188410›Full record

ArticleHuman genetics2015

Mosaic maternal ancestry in the Great Lakes region of East Africa.

Verónica Gomes, Maria Pala, Antonio Salas, Vanesa Álvarez-Iglesias, António Amorim, Alberto Gómez-Carballa, Ángel Carracedo, Douglas J Clarke, Catherine Hill, Maru Mormina and 10 more

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Article in Human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Verónica GomesInstituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Maria Pala
Antonio Salas
Vanesa Álvarez-Iglesias
António Amorim
Alberto Gómez-Carballa
Ángel Carracedo
Douglas J Clarke
Catherine Hill
Maru Mormina
Marie-Anne Shaw
David W Dunne
Rui Pereira
Vânia Pereira
Maria João Prata
Paula Sánchez-Diz
Teresa Rito
Pedro Soares
Leonor Gusmão
Martin B Richards

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Great Lakes lie within a region of East Africa with very high human genetic diversity, home of many ethno-linguistic groups usually assumed to be the product of a small number of major dispersals. However, our knowledge of these dispersals relies primarily on the inferences of historical, linguistics and oral traditions, with attempts to match up the archaeological evidence where possible. This is an obvious area to which archaeogenetics can contribute, yet Uganda, at the heart of these developments, has not been studied for mitochondrial DNA (mtDNA) variation. Here, we compare mtDNA lineages at this putative genetic crossroads across 409 representatives of the major language groups: Bantu speakers and Eastern and Western Nilotic speakers. We show that Uganda harbours one of the highest mtDNA diversities within and between linguistic groups, with the various groups significantly differentiated from each other. Despite an inferred linguistic origin in South Sudan, the data from the two Nilotic-speaking groups point to a much more complex history, involving not only possible dispersals from Sudan and the Horn but also large-scale assimilation of autochthonous lineages within East Africa and even Uganda itself. The Eastern Nilotic group also carries signals characteristic of West-Central Africa, primarily due to Bantu influence, whereas a much stronger signal in the Western Nilotic group suggests direct West-Central African ancestry. Bantu speakers share lineages with both Nilotic groups, and also harbour East African lineages not found in Western Nilotic speakers, likely due to assimilating indigenous populations since arriving in the region ~3000 years ago.

Indexed as

Genetic VariationBlack PeopleDNA, MitochondrialHumansPhylogenyPhylogeographyPrincipal Component AnalysisUgandaDNA, Mitochondrial

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.