Evidence map›Paper›PMID 19390050›Full record

ArticleScience (New York, N.Y.)2009

Genome-wide survey of SNP variation uncovers the genetic structure of cattle breeds.

Bovine HapMap Consortium, Richard A Gibbs, Jeremy F Taylor, Curtis P Van Tassell, William Barendse, Kellye A Eversole, Clare A Gill, Ronnie D Green, Debora L Hamernik, Steven M Kappes and 82 more

Open access · greenAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 408 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
408citing papers in PubMed, 1 pooled it
42.6field-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

408 citing papers in PubMed, 1 synthesis or guideline pooled it, 902 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. A comparative study on recombination activity in cattle.Genetics, selection, evolution : GSE · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
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  15. Review
  16. Article
  17. Article
  18. Article
  19. Population structure limits the use of genomic data for predicting phenotypes and managing genetic resources in forest trees.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Article

348 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

92 authors.

Bovine HapMap Consortium
Richard A Gibbs
Jeremy F Taylor
Curtis P Van Tassell
William Barendse
Kellye A Eversole
Clare A Gill
Ronnie D Green
Debora L Hamernik
Steven M Kappes
Sigbjørn Lien
Lakshmi K Matukumalli
John C McEwan
Lynne V Nazareth
Robert D Schnabel
George M Weinstock
David A Wheeler
Paolo Ajmone-Marsan
Paul J Boettcher
Alexandre R Caetano
Jose Fernando Garcia
Olivier Hanotte
Paola Mariani
Loren C Skow
Tad S Sonstegard
John L Williams
Boubacar Diallo
Lemecha Hailemariam
Mario L Martinez
Chris A Morris
Luiz O C Silva
Richard J Spelman
Woudyalew Mulatu
Keyan Zhao
Colette A Abbey
Morris Agaba
Flábio R Araujo
Rowan J Bunch
James Burton
Chiara Gorni
Hanotte Olivier
Blair E Harrison
Bill Luff
Marco A Machado
Joel Mwakaya
Graham Plastow
Warren Sim
Timothy Smith
Merle B Thomas
Alessio Valentini
Paul Williams
James Womack
John A Woolliams
Yue Liu
Xiang Qin
Kim C Worley
Chuan Gao
Huaiyang Jiang
Stephen S Moore
Yanru Ren
Xing-Zhi Song
Carlos D Bustamante
Ryan D Hernandez
Donna M Muzny
Shobha Patil
Anthony San Lucas
Qing Fu
Matthew P Kent
Richard Vega
Aruna Matukumalli
Sean McWilliam
Gert Sclep
Katarzyna Bryc
Jungwoo Choi
Hong Gao
John J Grefenstette
Brenda Murdoch
Alessandra Stella
Rafael Villa-Angulo
Mark Wright
Jan Aerts
Oliver Jann
Riccardo Negrini
Mike E Goddard
Ben J Hayes
Daniel G Bradley
Marcos Barbosa da Silva
Lilian P L Lau
George E Liu
David J Lynn
Francesca Panzitta
Ken G Dodds

Funding

Association Mapping in Structured PopulationsR01GM083606 · NIGMS · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL · 2007 to 2010
$1.3M
Biotechnology and Biological Sciences Research Council BBS/B/05710Biotechnology and Biological Sciences Research Council BBS/E/D/05191130Biotechnology and Biological Sciences Research Council BBS/E/R/00000673Biotechnology and Biological Sciences Research Council BBS/E/R/00001610Biotechnology and Biological Sciences Research Council BBS/E/R/00001618NIGMS NIH HHS R01 GM083606
6 · The paper itself

Abstract

The imprints of domestication and breed development on the genomes of livestock likely differ from those of companion animals. A deep draft sequence assembly of shotgun reads from a single Hereford female and comparative sequences sampled from six additional breeds were used to develop probes to interrogate 37,470 single-nucleotide polymorphisms (SNPs) in 497 cattle from 19 geographically and biologically diverse breeds. These data show that cattle have undergone a rapid recent decrease in effective population size from a very large ancestral population, possibly due to bottlenecks associated with domestication, selection, and breed formation. Domestication and artificial selection appear to have left detectable signatures of selection within the cattle genome, yet the current levels of diversity within breeds are at least as great as exists within humans.

Indexed as

Genetic VariationGenomePolymorphism, Single NucleotideAnimalsBreedingCattleFemaleGene FrequencyMaleMolecular Sequence DataMutationPopulation Density

Identifiers

PMID19390050
PMCPMC2735092
OpenAlexW2168059506

What OpenQuestion holds

Textmetadata
LicenceTDM
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.