Evidence map›Paper›PMID 33053335›Full record

ArticleAmerican journal of human genetics2020

Probabilistic Estimation of Identity by Descent Segment Endpoints and Detection of Recent Selection.

Sharon R Browning, Brian L Browning

Abstract read
In one paragraph

Article in American journal of human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. A sibling study of variation in parental mutation rates.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
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  8. Identity-by-descent segments in large samples.Theoretical population biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Fast simulation of identity-by-descent segments.Bulletin of mathematical biology · 2025
    Article
  14. Article
  15. Fast simulation of identity-by-descent segments.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
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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

2 authors.

Sharon R BrowningDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA. Electronic address: sguy@uw.edu.
Brian L BrowningDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA; Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA.

Funding

Improved gene mapping for whole genome dataR01HG005701 · NHGRI · UNIVERSITY OF WASHINGTON · PI BROWNING, BRIAN LEE · 2010 to 2024
$4.4M
Improved modeling of genotype dataR01HG008359 · NHGRI · UNIVERSITY OF WASHINGTON · PI BROWNING, BRIAN LEE · 2015 to 2022
$2.8M
NHGRI NIH HHS R01 HG005701NHGRI NIH HHS R01 HG008359
6 · The paper itself

Abstract

Most methods for fast detection of identity by descent (IBD) segments report identity by state segments without any quantification of the uncertainty in the endpoints and lengths of the IBD segments. We present a method for determining the posterior probability distribution of IBD segment endpoints. Our approach accounts for genotype errors, recent mutations, and gene conversions which disrupt DNA sequence identity within IBD segments, and it can be applied to large cohorts with whole-genome sequence or SNP array data. We find that our method's estimates of uncertainty are well calibrated for homogeneous samples. We quantify endpoint uncertainty for 77.7 billion IBD segments from 408,883 individuals of white British ancestry in the UK Biobank, and we use these IBD segments to find regions showing evidence of recent natural selection. We show that many spurious selection signals are eliminated by the use of unbiased estimates of IBD segment endpoints and a pedigree-based genetic map. Eleven of the twelve regions with the greatest evidence for recent selection in our scan have been identified as selected in previous analyses using different approaches. Our computationally efficient method for quantifying IBD segment endpoint uncertainty is implemented in the open source ibd-ends software package.

Indexed as

Genome, HumanInheritance PatternsModels, StatisticalPolymorphism, Single NucleotideBiological Specimen BanksBiometric IdentificationChromosome MappingFamilyFemaleGenome-Wide Association StudyHumansMalePedigreeSoftwareUncertaintyUnited Kingdomidentity by descentnatural selectionrecent positive selection

Identifiers

PMID33053335
PMCPMC7553009

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.