Evidence map›Paper›PMID 27374771›Full record

ArticleAmerican journal of human genetics2016

PADRE: Pedigree-Aware Distant-Relationship Estimation.

Jeffrey Staples, David J Witherspoon, Lynn B Jorde, Deborah A Nickerson, University of Washington Center for Mendelian Genomics, Jennifer E Below, Chad D Huff

Abstract read
In one paragraph

Article in American journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  6. CORRECTING MODEL MISSPECIFICATION IN RELATIONSHIP ESTIMATES.bioRxiv : the preprint server for biology · 2024
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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

7 authors.

Jeffrey StaplesDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
David J WitherspoonDepartment of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA.
Lynn B JordeDepartment of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA.
Deborah A NickersonDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
University of Washington Center for Mendelian Genomics
Jennifer E BelowHuman Genetics Center, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA. Electronic address: jennifer.e.below@uth.tmc.edu.
Chad D HuffDepartment of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: chad@hufflab.org.

Funding

UW Center for Mendelian GenomicsU54HG006493 · NHGRI · UNIVERSITY OF WASHINGTON · PI BAMSHAD, MICHAEL JOSEPH, NICKERSON, DEBORAH A · 2012 to 2015
$20.0M
UW Center for Mendelian GenomicsUM1HG006493 · NHGRI · UNIVERSITY OF WASHINGTON · PI BAMSHAD, MICHAEL JOSEPH, LEAL, SUZANNE M · 2016 to 2020
$15.3M
VAAST+: Tool for variant prioritization, risk assessment and disease-gene findingR01GM104390 · NIGMS · UNIVERSITY OF UTAH · PI JORDE, LYNN, YANDELL, MARK DOUGLAS · 2013 to 2017
$2.2M
NHGRI NIH HHS U54 HG006493NHGRI NIH HHS UM1 HG006493NIGMS NIH HHS R01 GM104390
6 · The paper itself

Abstract

Accurate estimation of shared ancestry is an important component of many genetic studies; current prediction tools accurately estimate pairwise genetic relationships up to the ninth degree. Pedigree-aware distant-relationship estimation (PADRE) combines relationship likelihoods generated by estimation of recent shared ancestry (ERSA) with likelihoods from family networks reconstructed by pedigree reconstruction and identification of a maximum unrelated set (PRIMUS), improving the power to detect distant relationships between pedigrees. Using PADRE, we estimated relationships from simulated pedigrees and three extended pedigrees, correctly predicting 20% more fourth- through ninth-degree simulated relationships than when using ERSA alone. By leveraging pedigree information, PADRE can even identify genealogical relationships between individuals who are genetically unrelated. For example, although 95% of 13(th)-degree relatives are genetically unrelated, in simulations, PADRE correctly predicted 50% of 13(th)-degree relationships to within one degree of relatedness. The improvement in prediction accuracy was consistent between simulated and actual pedigrees. We also applied PADRE to the HapMap3 CEU samples and report new cryptic relationships and validation of previously described relationships between families. PADRE greatly expands the range of relationships that can be estimated by using genetic data in pedigrees.

Indexed as

AlgorithmsPedigreeFemaleHaplotypesHumansMaleModels, GeneticReproducibility of Resultsgenetic analysispedigree reconstructionrelatedness estimation

Identifiers

PMID27374771
PMCPMC5005450

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.