Evidence map›Paper›PMID 31587867›Full record

ArticleAmerican journal of human genetics2019

Estimating the Genome-wide Mutation Rate with Three-Way Identity by Descent.

Xiaowen Tian, Brian L Browning, Sharon R Browning

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
11.8field-weighted citation impact, top 1% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Identity-by-descent segments in large samples.Theoretical population biology · 2025
    Article
  6. Fast simulation of identity-by-descent segments.Bulletin of mathematical biology · 2025
    Article
  7. Article
  8. Fast simulation of identity-by-descent segments.bioRxiv : the preprint server for biology · 2025
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  9. Article
  10. Article
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  14. Article
  15. Estimating evolutionary and demographic parameters via ARG-derived IBD.bioRxiv : the preprint server for biology · 2024
    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

3 authors at 2 institutions in 1 country.

Xiaowen TianDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA. Electronic address: tianx3@uw.edu.
Brian L BrowningDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA.
Sharon R BrowningDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA. Electronic address: sguy@uw.edu.
University of Washington · USUniversity of Washington Medical Center · US

Funding

IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
Improved gene mapping for whole genome dataR01HG005701 · NHGRI · UNIVERSITY OF WASHINGTON · PI BROWNING, BRIAN LEE · 2010 to 2024
$4.4M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHGRI NIH HHS R01 HG005701NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS HHSN268201500014CNHLBI NIH HHS N01 HC025195NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393
6 · The paper itself

Abstract

The two primary methods for estimating the genome-wide mutation rate have been counting de novo mutations in parent-offspring trios and comparing sequence data between closely related species. With parent-offspring trio analysis it is difficult to control for genotype error, and resolution is limited because each trio provides information from only two meioses. Inter-species comparison is difficult to calibrate due to uncertainty in the number of meioses separating species, and it can be biased by selection and by changing mutation rates over time. An alternative class of approaches for estimating mutation rates that avoids these limitations is based on identity by descent (IBD) segments that arise from common ancestry within the past few thousand years. Existing IBD-based methods are limited to highly inbred samples, or lack robustness to genotype error and error in the estimated demographic history. We present an IBD-based method that uses sharing of IBD segments among sets of three individuals to estimate the mutation rate. Our method is applicable to accurately phased genotype data, such as parent-offspring trio data phased using Mendelian rules of inheritance. Unlike standard parent-offspring analysis, our method utilizes distant relationships and is robust to genotype error. We apply our method to data from 1,307 European-ancestry individuals in the Framingham Heart Study sequenced by the NHLBI TOPMed project. We obtain an estimate of 1.29 × 10

Indexed as

Genome, HumanGenotypeHeredityHumansMeiosisMutationMutation RatePedigreePolymorphism, Single Nucleotidede novo mutationidentity-by-descentmutation rate

Identifiers

PMID31587867
PMCPMC6848988
OpenAlexW2977922357

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.