Evidence map›Paper›PMID 27356612›Full record

ArticleGenetics2016

A Genealogical Look at Shared Ancestry on the X Chromosome.

Vince Buffalo, Stephen M Mount, Graham Coop

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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.

Vince BuffaloPopulation Biology Graduate Group, Department of Evolution and Ecology, University of California, Davis, California 95616 Center for Population Biology, Department of Evolution and Ecology, University of California, Davis, California 95616 vsbuffalo@ucdavis.edu.ORCID 0000-0003-4510-1609
Stephen M MountDepartment of Cell Biology and Molecular Genetics, Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742.ORCID 0000-0003-2748-8205
Graham CoopCenter for Population Biology, Department of Evolution and Ecology, University of California, Davis, California 95616.ORCID 0000-0001-8431-0302
University of California, Davis · USUniversity of Maryland, College Park · US

Funding

Recombination rate variation and evolution in vertebratesR01GM083098 · NIGMS · UNIVERSITY OF CHICAGO · PI PRZEWORSKI, MOLLY F · 2007 to 2024
$4.6M
Genome-wide approaches to polygenic adaptationR01GM108779 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COOP, GRAHAM · 2014 to 2019
$1.0M
NIGMS NIH HHS R01 GM083098NIGMS NIH HHS R01 GM108779
6 · The paper itself

Abstract

Close relatives can share large segments of their genome identical by descent (IBD) that can be identified in genome-wide polymorphism data sets. There are a range of methods to use these IBD segments to identify relatives and estimate their relationship. These methods have focused on sharing on the autosomes, as they provide a rich source of information about genealogical relationships. We hope to learn additional information about recent ancestry through shared IBD segments on the X chromosome, but currently lack the theoretical framework to use this information fully. Here, we fill this gap by developing probability distributions for the number and length of X chromosome segments shared IBD between an individual and an ancestor k generations back, as well as between half- and full-cousin relationships. Due to the inheritance pattern of the X and the fact that X homologous recombination occurs only in females (outside of the pseudoautosomal regions), the number of females along a genealogical lineage is a key quantity for understanding the number and length of the IBD segments shared among relatives. When inferring relationships among individuals, the number of female ancestors along a genealogical lineage will often be unknown. Therefore, our IBD segment length and number distributions marginalize over this unknown number of recombinational meioses through a distribution of recombinational meioses we derive. By using Bayes' theorem to invert these distributions, we can estimate the number of female ancestors between two relatives, giving us details about the genealogical relations between individuals not possible with autosomal data alone.

Indexed as

Chromosomes, Human, XInheritance PatternsBayes TheoremFemaleGenealogy and HeraldryGenetics, PopulationGenetic VariationGenome-Wide Association StudyHumansMaleModels, GeneticPedigreegenetic genealogyidentity by descentrecent ancestrystatistical geneticsX chromosome

Identifiers

PMID27356612
PMCPMC5012405
OpenAlexW2950772603

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.