Evidence map›Paper›PMID 33593342›Full record

ArticleBMC biology2021

Personalized genealogical history of UK individuals inferred from biobank-scale IBD segments.

Ardalan Naseri, Kecong Tang, Xin Geng, Junjie Shi, Jing Zhang, Pramesh Shakya, Xiaoming Liu, Shaojie Zhang, Degui Zhi

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. SLAB: A Sweep Line Algorithm in PBWT for Finding Haplotype Block Cores.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Haplotype Matching with GBWT for Pangenome Graphs.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Revealing the recent demographic history of Europe via haplotype sharing in the UK Biobank.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Associations between the Willingness to Donate Samples to Biobanks and Selected Psychological Variables.International journal of environmental research and public health · 2022
    Article
  12. Article
  13. Article
  14. Article
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

9 authors at 4 institutions in 1 country.

Ardalan NaseriSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Kecong TangDepartment of Computer Science, University of Central Florida, Orlando, FL, 32816, USA.
Xin GengSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Junjie ShiSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Jing ZhangSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Pramesh ShakyaDepartment of Computer Science, University of Central Florida, Orlando, FL, 32816, USA.
Xiaoming LiuUSF Genomics, College of Public Health, University of South Florida, Tampa, FL, 33612, USA.
Shaojie ZhangDepartment of Computer Science, University of Central Florida, Orlando, FL, 32816, USA. shzhang@cs.ucf.edu.
Degui ZhiSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA. degui.zhi@uth.tmc.edu.ORCID 0000-0001-7754-1890
The University of Texas Health Science Center at Houston · USUniversity of Central Florida · USThe University of Texas Health Science Center · USUniversity of South Florida · US

Funding

The Baylor-Hopkins Clinical Genomics Center for All of UsOT2OD002751 · OD · BAYLOR COLLEGE OF MEDICINE · PI BOERWINKLE, ERIC A., DOHENY, KIMBERLY F · 2018 to 2023
$152.8M
Scalable methods for identity by descentR01HG010086 · NHGRI · YALE UNIVERSITY · PI Shaojie Zhang, Degui Zhi · 2018 to 2026
$4.9M
Accurately Inferring Demographic Histories of Human Populations Using Large Whole Genome Sequence DataR01HG009524 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LIU, XIAOMING · 2017 to 2020
$1.3M
NHGRI NIH HHS R01 HG009524NHGRI NIH HHS R01 HG010086NIH HHS OT2 OD002751ODCDC CDC HHS OT2 OD002751
6 · The paper itself

Abstract

backgroundThe genealogical histories of individuals within populations are of interest to studies aiming both to uncover detailed pedigree information and overall quantitative population demographic histories. However, the analysis of quantitative details of individual genealogical histories has faced challenges from incomplete available pedigree records and an absence of objective and quantitative details in pedigree information. Although complete pedigree information for most individuals is difficult to track beyond a few generations, it is possible to describe a person's genealogical history using their genetic relatives revealed by identity by descent (IBD) segments-long genomic segments shared by two individuals within a population, which are identical due to inheritance from common ancestors. When modern biobanks collect genotype information for a significant fraction of a population, dense genetic connections of a person can be traced using such IBD segments, offering opportunities to characterize individuals in the context of the underlying populations. Here, we conducted an individual-centric analysis of IBD segments among the UK Biobank participants that represent 0.7% of the UK population.

resultsWe made a high-quality call set of IBD segments over 5 cM among all 500,000 UK Biobank participants. On average, one UK individual shares IBD segments with 14,000 UK Biobank participants, which we refer to as "relatives." Using these segments, approximately 80% of a person's genome can be imputed. We subsequently propose genealogical descriptors based on the genetic connections of relative cohorts of individuals sharing at least one IBD segment and show that such descriptors offer important information about one's genetic makeup, personal genealogical history, and social behavior. Through analysis of relative counts sharing segments at different lengths, we identified a group, potentially British Jews, who has a distinct pattern of familial expansion history. Finally, using the enrichment of relatives in one's neighborhood, we identified regional variations of personal preference favoring living closer to one's extended families.

conclusionsOur analysis revealed genetic makeup, personal genealogical history, and social behaviors at the population scale, opening possibilities for further studies of individual's genetic connections in biobank data.

Indexed as

Genealogy and HeraldryGenetic VariationPedigreeBiological Specimen BanksHumansUnited KingdomGenealogical historyIdentity by descentRaPIDUK Biobank

Identifiers

PMID33593342
PMCPMC7888130
OpenAlexW3132155683

What OpenQuestion holds

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Registered trials

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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.