Gene linked with human kidney aging

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Gene linked with human kidney aging

A gene has been associated with human kidney aging, according to researchers from Stanford University, the National Institute on Aging, the MedStar Research Institute, and the HudsonAlpha Institute for Biotechnology. In work published on October 16 in the open-access journal PLoS Genetics, the investigators claim that their approach, which combines sequential transcriptional profiling and eQTL mapping, can be applied to any phenotype of interest to help find other genetic associations.

Kidneys age at different rates, such that some people show little or no effects of kidney aging whereas others show rapid functional decline. Determining genetic factors associated with different rates of kidney aging contributes to the understanding of molecular mechanisms underlying the human aging process. Although family studies have shown that genes play a role in longevity, it has proven difficult to identify the specific genetic variants involved, until now.

The researchers, led by Dr. Stuart Kim, first used genome-wide transcriptional profiling to determine that 630 genes change expression with age in kidney tissue. Next, they determined that 101 of these age-regulated genes contain DNA variations among individuals that associate with gene expression level. These 101 genes were tested for association with kidney aging in a combined analysis of two populations selected to study normal aging: the Baltimore Longitudinal Study of Aging and the InCHIANTI Study. One gene that encodes an extracellular matrix protein (MMP20) was revealed to be significantly associated with kidney aging, providing the first gene association with kidney aging.

Because data from both populations were combined in the kidney aging association analysis, the researchers stress that this finding needs to be replicated in additional populations. As more aging genes are discovered and confirmed, the particular genetic variants belonging to a person could one day be combined to better predict the aging trajectory of the kidney.

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FINANCIAL DISCLOSURE: This work was supported by the National Institutes of Health (R01 AG025941-01A2) and the Ellison Medical Foundation. The BLSA was supported in part by the Intramural Research Program of the NIH, National Institute on Aging. A portion of that support was through an R&D contract with MedStar Research Institute. The InCHIANTI study baseline (1998) was supported as a "targeted project" (ICS110.1/RF97.71) by the Italian Ministry of Health and in part by the U.S. National Institute on Aging (Contracts: 263 MD 9164 and 263 MD 821336). HEW was funded by a NIH grant to the Stanford Genetics and Developmental Biology Training Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

COMPETING INTERESTS: Two of the authors (HEW and SKK) are listed as the inventors in a patent filed by the Stanford University Office of Technology Licensing titled: A Genetic Test for Healthy Kidney Aging (Docket 08-360).

CITATION: Wheeler HE, Metter EJ, Tanaka T, Absher D, Higgins J, et al. (2009) Sequential Use of Transcriptional Profiling, Expression Quantitative Trait Mapping, and Gene Association Implicates MMP20 in Human Kidney Aging. PLoS Genet 5(10): e1000685. doi:10.1371/journal.pgen.1000685

IN YOUR COVERAGE, PLEASE USE THIS URL TO PROVIDE ACCESS TO THE FREELY AVAILABLE ARTICLE (the link will be live as soon as the embargo ends): http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1000685

CONTACT:
Dr. Stuart Kim
Stanford University Medical Center
Departments of Developmental Biology and Genetics
Phone: 650-725-7671
Email: kim@cmgm.stanford.edu

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http://www.eurekalert.org/pub_releases/2009-10/plos-glw101509.php