Evidence map›Paper›PMID 17697342›Full record

ArticleGenome biology2007

A physical map of the bovine genome.

Warren M Snelling, Readman Chiu, Jacqueline E Schein, Matthew Hobbs, Colette A Abbey, David L Adelson, Jan Aerts, Gary L Bennett, Ian E Bosdet, Mekki Boussaha and 45 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2007. 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
6.0field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 85 citations in OpenAlex.

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  4. Sequence analysis inGenome research · 2020
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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

55 authors at 20 institutions in 8 countries.

Warren M SnellingUSDA, ARS, US Meat Animal Research Center, Clay Center, NE 68933, USA. warren.snelling@ars.usda.gov
Readman Chiu
Jacqueline E Schein
Matthew Hobbs
Colette A Abbey
David L Adelson
Jan Aerts
Gary L Bennett
Ian E Bosdet
Mekki Boussaha
Rudiger Brauning
Alexandre R Caetano
Marcos M Costa
Allan M Crawford
Brian P Dalrymple
André Eggen
Annelie Everts-van der Wind
Sandrine Floriot
Mathieu Gautier
Clare A Gill
Ronnie D Green
Robert Holt
Oliver Jann
Steven Jm Jones
Steven M Kappes
John W Keele
Pieter J de Jong
Denis M Larkin
Harris A Lewin
John C McEwan
Stephanie McKay
Marco A Marra
Carrie A Mathewson
Lakshmi K Matukumalli
Stephen S Moore
Brenda Murdoch
Frank W Nicholas
Kazutoyo Osoegawa
Alice Roy
Hanni Salih
Laurent Schibler
Robert D Schnabel
Licia Silveri
Loren C Skow
Timothy Pl Smith
Tad S Sonstegard
Jeremy F Taylor
Ross Tellam
Curtis P Van Tassell
John L Williams
James E Womack
Natasja H Wye
George Yang
Shaying Zhao
International Bovine BAC Mapping Consortium
BC Cancer Agency · CADépartement Génétique Animale · FRCentre National de Recherche en Génomique Humaine · FRTexas A&M University · USAgResearch · NZRoman L. Hruska U.S. Meat Animal Research Center · USUniversity of Alberta · CAUniversity of Illinois Urbana-Champaign · USAgricultural Research Service · USBrazilian Agricultural Research Corporation · BRCommonwealth Scientific and Industrial Research Organisation · AUOakland University · USRoslin Institute · GBTexas A&M University System · USThe University of Sydney · AUUniversity of Missouri · USIstituto Sperimentale per la Zootecnia · ITParco Tecnologico Padano · ITUnited States Department of Agriculture · USUniversity of Georgia · US

Funding

Biotechnology and Biological Sciences Research Council BBS/B/05478Biotechnology and Biological Sciences Research Council BBS/B/13454Biotechnology and Biological Sciences Research Council BBS/E/R/00000685
6 · The paper itself

Abstract

backgroundCattle are important agriculturally and relevant as a model organism. Previously described genetic and radiation hybrid (RH) maps of the bovine genome have been used to identify genomic regions and genes affecting specific traits. Application of these maps to identify influential genetic polymorphisms will be enhanced by integration with each other and with bacterial artificial chromosome (BAC) libraries. The BAC libraries and clone maps are essential for the hybrid clone-by-clone/whole-genome shotgun sequencing approach taken by the bovine genome sequencing project.

resultsA bovine BAC map was constructed with HindIII restriction digest fragments of 290,797 BAC clones from animals of three different breeds. Comparative mapping of 422,522 BAC end sequences assisted with BAC map ordering and assembly. Genotypes and pedigree from two genetic maps and marker scores from three whole-genome RH panels were consolidated on a 17,254-marker composite map. Sequence similarity allowed integrating the BAC and composite maps with the bovine draft assembly (Btau3.1), establishing a comprehensive resource describing the bovine genome. Agreement between the marker and BAC maps and the draft assembly is high, although discrepancies exist. The composite and BAC maps are more similar than either is to the draft assembly.

conclusionFurther refinement of the maps and greater integration into the genome assembly process may contribute to a high quality assembly. The maps provide resources to associate phenotypic variation with underlying genomic variation, and are crucial resources for understanding the biology underpinning this important ruminant species so closely associated with humans.

Indexed as

Gene OrderGenomeRadiation Hybrid MappingAnimalsBase SequenceCattleChromosomes, Artificial, BacterialChromosomes, MammalianDeoxyribonuclease HindIIIGenetic MarkersGenome, HumanGenotypeHumansMolecular Sequence DataPedigreeSequence AlignmentDeoxyribonuclease HindIIIGenetic Markers

Identifiers

PMID17697342
PMCPMC2374996
OpenAlexW2117424933

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.