Evidence map›Paper›PMID 35093177›Full record

ArticleHuman genomics2022

A framework for research into continental ancestry groups of the UK Biobank.

Andrei-Emil Constantinescu, Ruth E Mitchell, Jie Zheng, Caroline J Bull, Nicholas J Timpson, Borko Amulic, Emma E Vincent, David A Hughes

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In one paragraph

Article in Human genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Article
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  6. Review
  7. Ancestry-specific effects ofmedRxiv : the preprint server for health sciences · 2026
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Andrei-Emil ConstantinescuMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
Ruth E MitchellMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
Jie ZhengMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
Caroline J BullMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
Nicholas J TimpsonMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
Borko AmulicSchool of Cellular and Molecular Medicine, University of Bristol, Bristol, UK.
Emma E VincentMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
David A HughesMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK. d.a.hughes@bristol.ac.uk.ORCID 0000-0002-9644-8998

Funding

Cancer Research UK 29019Cancer Research UK C18281/A29019Department of Health BRC-1215-2001Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00011/1Medical Research Council MR/N013794/1Medical Research Council MR/R02149x/1Wellcome Trust 202802/Z/16/ZWellcome Trust 217065/Z/19/Z
6 · The paper itself

Abstract

backgroundThe UK Biobank is a large prospective cohort, based in the UK, that has deep phenotypic and genomic data on roughly a half a million individuals. Included in this resource are data on approximately 78,000 individuals with "non-white British ancestry." While most epidemiology studies have focused predominantly on populations of European ancestry, there is an opportunity to contribute to the study of health and disease for a broader segment of the population by making use of the UK Biobank's "non-white British ancestry" samples. Here, we present an empirical description of the continental ancestry and population structure among the individuals in this UK Biobank subset.

resultsReference populations from the 1000 Genomes Project for Africa, Europe, East Asia, and South Asia were used to estimate ancestry for each individual. Those with at least 80% ancestry in one of these four continental ancestry groups were taken forward (N = 62,484). Principal component and K-means clustering analyses were used to identify and characterize population structure within each ancestry group. Of the approximately 78,000 individuals in the UK Biobank that are of "non-white British" ancestry, 50,685, 6653, 2782, and 2364 individuals were associated to the European, African, South Asian, and East Asian continental ancestry groups, respectively. Each continental ancestry group exhibits prominent population structure that is consistent with self-reported country of birth data and geography.

conclusionsMethods outlined here provide an avenue to leverage UK Biobank's deeply phenotyped data allowing researchers to maximize its potential in the study of health and disease in individuals of non-white British ancestry.

Indexed as

Biological Specimen BanksBlack PeopleHumansProspective StudiesUnited KingdomWhite PeopleAncestryPopulation structureUK Biobank

Identifiers

PMID35093177
PMCPMC8800339

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