Evidence map›Paper›PMID 42907903›Full record

ArticleGenome medicine2026

The average individual genome: a survey of nearly 1 million whole-genome sequences.

Harrison I W Wright, Robin N Beaumont, James Fasham, Joseph S Leslie, V Kartik Chundru, Timothy S Hall, Stuart J Cannon, Alistair T Pagnamenta, Emma L Baple, Andrew R Wood and 6 more

Abstract read
In one paragraph

Article in Genome medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Harrison I W Wright *Department of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Robin N Beaumont *Department of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
James Fasham *Department of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Joseph S Leslie *Department of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
V Kartik Chundru *Department of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Timothy S HallDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Stuart J CannonDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Alistair T PagnamentaDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Emma L BapleDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Andrew R WoodDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Anna MurrayDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Leigh JacksonDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Michael N WeedonDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Kashyap PatelDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Gareth HawkesDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Caroline F WrightDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK. caroline.wright@exeter.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs whole-genome sequencing (WGS) is increasingly used in clinical and public health contexts, clearer expectations regarding the amount of variation present in the "average" human genome are required to contextualise findings.

methodsWe analysed WGS data from two large population cohorts: 490,541 individuals in UK Biobank (UKB) and 414,830 individuals in All of Us. Following variant and genotype QC, we aimed to assess the range of neutral and disease-associated variation across six genetically-inferred ancestry groups.

resultsThe "average" genome contains ~4.3-5.3 million variants, of which ~1.5% are rare (within-cohort allele frequency < 1%). This includes ~67 autosomal deletions/duplications > 10,000 basepairs per genome, and rare autosomal copy number variants > 1 Mb present in ~ 1 in 41 (2.5%) individuals. On average, ~32-42% of variants per person are homozygous and individuals have ~4 unique runs of homozygosity > 1.5 Mb, with marked variation observed across ancestry groups. Of the ~21- 26,000 SNVs/indels per person in coding exons of MANE Select transcripts, ~48% are predicted to alter the protein, of which ~0.8% are high-confidence loss-of-function and ~0.1% have REVEL score > 0.7 suggestive of pathogenicity. Depending upon parental age, the average genome contains ~63 de novo variants, of which ~75-80% are paternal in origin. Considering only rare variants in GenCC-curated monogenic disease-associated genes, the average genome contains ~1-3 ClinVar pathogenic or likely pathogenic variants, ~2-5 high-confidence loss-of-function variants, and ~50 ClinVar variants of uncertain significance. Most ClinVar pathogenic variants are heterozygous in recessive disease genes, consistent with carrier status, and have multiple ClinVar submitters. Finally, applying polygenic scores (PGS) for 28 common diseases within UKB, we estimate that the average person is in the top 10% for ~3 conditions, and around 1 in 5 people are in the top 1% for at least one PGS.

conclusionsThe ubiquity of genetic variation in individuals has important implications for policy-makers considering genomic screening and clinicians counselling families. The continued underrepresentation of many global populations reflects a broader limitation of contemporary genomic research, underscoring the need for more inclusive datasets worldwide in order to enable equitable precision medicine.

Indexed as

Genome, HumanWhole Genome SequencingDNA Copy Number VariationsGene FrequencyGenetic VariationGenotypeHumansPolymorphism, Single NucleotideUK Biobank

Identifiers

PMID42907903
PMCPMC13689340

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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.