Evidence map›Paper›PMID 20054062›Full record

ArticleGenome research2010

A high-resolution association mapping panel for the dissection of complex traits in mice.

Brian J Bennett, Charles R Farber, Luz Orozco, Hyun Min Kang, Anatole Ghazalpour, Nathan Siemers, Michael Neubauer, Isaac Neuhaus, Roumyana Yordanova, Bo Guan and 13 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 236 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
236citing papers in PubMed, 3 pooled it
–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

236 citing papers in PubMed, 3 syntheses or guidelines pooled it, 328 citations in OpenAlex.

  1. Imputing Phenotypes for Genome-wide Association Studies.American journal of human genetics · 2016
    Pooled it
  2. Genome-wide association study for age-related hearing loss (AHL) in the mouse: a meta-analysis.Journal of the Association for Research in Otolaryngology : JARO · 2014
    Pooled it
  3. Pooled it
  4. Article
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  8. Emerging opportunities for DNA methylation biomarkers in cattle improvement.The Journal of reproduction and development · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
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  15. Article
  16. Establishing the hybrid rat diversity program: a resource for dissecting complex traits.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  17. Review
  18. Article
  19. Article
  20. Article

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

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

23 authors at 4 institutions in 1 country.

Brian J BennettDepartment of Medicine/Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA.
Charles R Farber
Luz Orozco
Hyun Min Kang
Anatole Ghazalpour
Nathan Siemers
Michael Neubauer
Isaac Neuhaus
Roumyana Yordanova
Bo Guan
Amy Truong
Wen-pin Yang
Aiqing He
Paul Kayne
Peter Gargalovic
Todd Kirchgessner
Calvin Pan
Lawrence W Castellani
Emrah Kostem
Nicholas Furlotte
Thomas A Drake
Eleazar Eskin
Aldons J Lusis
Bristol-Myers Squibb (United States) · USUniversity of California, Los Angeles · USUniversity of California San Diego · USUniversity of Virginia · US

Funding

ULTRASTRUCTURE OF THE INTIMA IN EARLY LESION FORMATIONP01HL030568 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FOGELMAN, ALAN M · 1985 to 2019
$55.2M
Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE · 1985 to 2019
$50.2M
Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Role of the 5-Lipoxygenase Pathway in AtherosclerosisR01HL079353 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ALLAYEE, HOOMAN · 2005 to 2009
$2.8M
Gene expression networks for metabolic syndrome traits in miceR01DK072206 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DRAKE, THOMAS A · 2006 to 2010
$1.5M
NEPHROLOGY SCIENTIST TRAINING GRANTT32DK007789 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KURTZ, IRA · 2000 to 2017
$1.5M
Discovering the Genetic Basis of HypertensionK25HL080079 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ESKIN, ELEAZAR · 2006 to 2010
$685k
CHARACTERIZATION OF A MAJOR OBESITY LOCUSF32DK074317 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FARBER, CHARLES R · 2006 to 2008
$116k
NHGRI NIH HHS T32 HG002536NHLBI NIH HHS 1K25HL080079NHLBI NIH HHS HL079353NHLBI NIH HHS HL28481NHLBI NIH HHS HL30568NHLBI NIH HHS K25 HL080079NHLBI NIH HHS P01 HL028481NHLBI NIH HHS P01 HL030568NHLBI NIH HHS R01 HL079353NIDDK NIH HHS 5F32DK074317NIDDK NIH HHS DK072206NIDDK NIH HHS F32 DK074317NIDDK NIH HHS R01 DK072206NIDDK NIH HHS T32 DK007789NIDDK NIH HHS T32-DK07789NIEHS NIH HHS N01 ES045530
6 · The paper itself

Abstract

Systems genetics relies on common genetic variants to elucidate biologic networks contributing to complex disease-related phenotypes. Mice are ideal model organisms for such approaches, but linkage analysis has been only modestly successful due to low mapping resolution. Association analysis in mice has the potential of much better resolution, but it is confounded by population structure and inadequate power to map traits that explain less than 10% of the variance, typical of mouse quantitative trait loci (QTL). We report a novel strategy for association mapping that combines classic inbred strains for mapping resolution and recombinant inbred strains for mapping power. Using a mixed model algorithm to correct for population structure, we validate the approach by mapping over 2500 cis-expression QTL with a resolution an order of magnitude narrower than traditional QTL analysis. We also report the fine mapping of metabolic traits such as plasma lipids. This resource, termed the Hybrid Mouse Diversity Panel, makes possible the integration of multiple data sets and should prove useful for systems-based approaches to complex traits and studies of gene-by-environment interactions.

Indexed as

AlgorithmsAnimalsChromosome MappingGenetic LinkageGenome-Wide Association StudyLipoproteins, HDLMaleMiceMice, Inbred StrainsPhenotypeQuantitative Trait LociLipoproteins, HDL

Identifiers

PMID20054062
PMCPMC2813484
OpenAlexW2158534900

What Socratic 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 Socratic graph.