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Lu Lu

Researcher at University of Tennessee Health Science Center

Publications -  252
Citations -  10798

Lu Lu is an academic researcher from University of Tennessee Health Science Center. The author has contributed to research in topics: Quantitative trait locus & Gene. The author has an hindex of 44, co-authored 225 publications receiving 9757 citations. Previous affiliations of Lu Lu include University of California, Riverside & Nantong University.

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Journal ArticleDOI

The Collaborative Cross, a community resource for the genetic analysis of complex traits

Gary A. Churchill, +113 more
- 01 Nov 2004 - 
TL;DR: The Collaborative Cross will provide a common reference panel specifically designed for the integrative analysis of complex systems and will change the way the authors approach human health and disease.
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Common genetic variants influence human subcortical brain structures.

Derrek P. Hibar, +344 more
- 09 Apr 2015 - 
TL;DR: In this paper, the authors conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts.
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Complex trait analysis of gene expression uncovers polygenic and pleiotropic networks that modulate nervous system function

TL;DR: A general approach to dissect genetic networks systematically across biological scale, from base pairs to behavior, using a reference population of recombinant inbred strains, found that a small number of major-effect quantitative trait loci jointly modulated large sets of transcripts and classical neural phenotypes in patterns specific to each tissue.
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A new set of BXD recombinant inbred lines from advanced intercross populations in mice

TL;DR: The combined BXD strain set is the largest mouse RI mapping panel and is a powerful tool for collaborative analysis of quantitative traits and gene function that will be especially useful to study variation in transcriptome and proteome data sets under multiple environments.
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The nature and identification of quantitative trait loci: a community's view.

Oduola Abiola, +79 more
TL;DR: This white paper by eighty members of the Complex Trait Consortium presents a community's view on the approaches and statistical analyses that are needed for the identification of genetic loci that determine quantitative traits.