Evidence map›Paper›PMID 34739834›Full record

ArticleAmerican journal of human genetics2021

Bonsai: An efficient method for inferring large human pedigrees from genotype data.

Ethan M Jewett, Kimberly F McManus, William A Freyman, 23andMe Research Team, Adam Auton

Abstract read
In one paragraph

Article in American journal of human genetics, 2021. 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.

  1. Article
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  5. Article
  6. CORRECTING MODEL MISSPECIFICATION IN RELATIONSHIP ESTIMATES.bioRxiv : the preprint server for biology · 2024
    Article
  7. Reconstructing parent genomes using siblings and other relatives.bioRxiv : the preprint server for biology · 2024
    Article
  8. Article
  9. Review
  10. 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

5 authors.

Ethan M Jewett23andMe, Inc. Sunnyvale, CA 94086, USA. Electronic address: ejewett@23andme.com.
Kimberly F McManus23andMe, Inc. Sunnyvale, CA 94086, USA.
William A Freyman23andMe, Inc. Sunnyvale, CA 94086, USA.
23andMe Research Team
Adam Auton23andMe, Inc. Sunnyvale, CA 94086, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pedigree inference from genotype data is a challenging problem, particularly when pedigrees are sparsely sampled and individuals may be distantly related to their closest genotyped relatives. We present a method that infers small pedigrees of close relatives and then assembles them into larger pedigrees. To assemble large pedigrees, we introduce several formulas and tools including a likelihood for the degree separating two small pedigrees, a generalization of the fast DRUID point estimate of the degree separating two pedigrees, a method for detecting individuals who share background identity-by-descent (IBD) that does not reflect recent common ancestry, and a method for identifying the ancestral branches through which distant relatives are connected. Our method also takes several approaches that help to improve the accuracy and efficiency of pedigree inference. In particular, we incorporate age information directly into the likelihood rather than using ages only for consistency checks and we employ a heuristic branch-and-bound-like approach to more efficiently explore the space of possible pedigrees. Together, these approaches make it possible to construct large pedigrees that are challenging or intractable for current inference methods.

Indexed as

GenotypePedigreeAlgorithmsFemaleHumansLikelihood FunctionsMaleModels, Geneticalgorithmbackground IBDcomputational methoddirect to consumerIBDidentical by descentpedigree inferencepedigree reconstructionrelationshiprelationship inference

Identifiers

PMID34739834
PMCPMC8595950

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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.