Keith C. Cheng

Keith C. Cheng

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Keith C. Cheng

Center for Computational Phenomics, Pennsylvania State University

Research Focus & Metrics

Academic Career Length

43Years (1984-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 December 2005 in Science
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Journal Article
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RLRebecca L. Lamason
Rebecca L. Lamason
MMManzoor-Ali P.K. Mohideen
Manzoor-Ali P.K. Mohideen
JMJason R. Mest
Jason R. Mest
AWAndrew C. Wong
Andrew C. Wong
HNHeather L. Norton
Heather L. Norton
KCKeith C. Cheng
Keith C. Cheng
Lighter variations of pigmentation in humans are associated with diminished number, size, and density of melanosomes, the pigmented organelles of melanocytes. Here we show that zebrafish golden mutants share these melanosomal changes and that golden encodes a putative cation exchanger slc24a5 (nckx5) that localizes to an intracellular membrane, likely the melanosome or its precursor. The human ortholog is highly similar in sequence and functional in zebrafish. The evolutionarily conserved ancestral allele of a human coding polymorphism predominates in African and East Asian populations. In contrast, the variant allele is nearly fixed in European populations, is associated with a substantial reduction in regional heterozygosity, and correlates with lighter skin pigmentation in admixed populations, suggesting a key role for the SLC24A5 gene in human pigmentation.

5 December 2006 in Molecular Biology and Evolution
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Journal Article
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HNHeather L. Norton
Heather L. Norton
RKRick A. Kittles
Rick A. Kittles
EPEsteban Parra
Esteban Parra
PMPaul McKeigue
Paul McKeigue
XMXianyun Mao
Xianyun Mao
MSMark D. Shriver
Mark D. Shriver
Human skin pigmentation shows a strong positive correlation with ultraviolet radiation intensity, suggesting that variation in skin color is, at least partially, due to adaptation via natural selection. We investigated the evolution of pigmentation variation by testing for the presence of positive directional selection in 6 pigmentation genes using an empirical FST approach, through an examination of global diversity patterns of these genes in the Centre d'Etude du Polymorphisme Humain (CEPH)-Diversity Panel, and by exploring signatures of selection in data from the International HapMap project. Additionally, we demonstrated a role for MATP in determining normal skin pigmentation variation using admixture mapping methods. Taken together (with the results of previous admixture mapping studies), these results point to the importance of several genes in shaping the pigmentation phenotype and a complex evolutionary history involving strong selection. Polymorphisms in 2 genes, ASIP and OCA2, may play a shared role in shaping light and dark pigmentation across the globe, whereas SLC24A5, MATP, and TYR have a predominant role in the evolution of light skin in Europeans but not in East Asians. These findings support a case for the recent convergent evolution of a lighter pigmentation phenotype in Europeans and East Asians.

1 August 2002 in Experimental Gerontology
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Journal Article
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GGGlenn S Gerhard
Glenn S Gerhard
EKElizabeth J Kauffman
Elizabeth J Kauffman
XWXujun Wang
Xujun Wang
RSRichard Stewart
Richard Stewart
JMJessica L Moore
Jessica L Moore
KCKeith C Cheng
Keith C Cheng

7 November 2019 in Nature Communications
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Journal Article
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UCUree Chon
Uree Chon
DVDaniel J. Vanselow
Daniel J. Vanselow
KCKeith C. Cheng
Keith C. Cheng
YKYongsoo Kim
Yongsoo Kim
Anatomical atlases in standard coordinates are necessary for the interpretation and integration of research findings in a common spatial context. However, the two most-used mouse brain atlases, the Franklin-Paxinos (FP) and the common coordinate framework (CCF) from the Allen Institute for Brain Science, have accumulated inconsistencies in anatomical delineations and nomenclature, creating confusion among neuroscientists. To overcome these issues, we adopt here the FP labels into the CCF to merge the labels in the single atlas framework. We use cell type-specific transgenic mice and an MRI atlas to adjust and further segment our labels. Moreover, detailed segmentations are added to the dorsal striatum using cortico-striatal connectivity data. Lastly, we digitize our anatomical labels based on the Allen ontology, create a web-interface for visualization, and provide tools for comprehensive comparisons between the CCF and FP labels. Our open-source labels signify a key step towards a unified mouse brain atlas.

4 October 2006 in Journal of Proteome Research
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Journal Article
Closed access
ACAn Chi
An Chi
JVJulio C. Valencia
Julio C. Valencia
ZHZhang-Zhi Hu
Zhang-Zhi Hu
HWHidenori Watabe
Hidenori Watabe
HYHiroshi Yamaguchi
Hiroshi Yamaguchi
DHDonald F. Hunt
Donald F. Hunt

1 July 2006 in Methods
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Journal Article
Closed access
NSNicole A. Sabaliauskas
Nicole A. Sabaliauskas
CFChristina A. Foutz
Christina A. Foutz
JMJason R. Mest
Jason R. Mest
LBLynn R. Budgeon
Lynn R. Budgeon
ASAdam T. Sidor
Adam T. Sidor
KCKeith C. Cheng
Keith C. Cheng