"A genome-wide association study identifies novel risk loci for
type 2 diabetes," by Robert Sladek and 21
others, Nature, 445(7130): 881-5, 22 February 2007.
[Authors' affiliations: 14 Canadian, French, and UK institutions]
Abstract: "Type 2 diabetes mellitus results from the
interaction of environmental factors with a combination of genetic
variants, most of which were hitherto unknown. A systematic search for
these variants was recently made possible by the development of
high-density arrays that permit the genotyping of hundreds of thousands of
polymorphisms. We tested 392,935 single-nucleotide polymorphisms in a
French case-control cohort. Markers with the most significant difference in
genotype frequencies between cases of type 2 diabetes and controls were
fast-tracked for testing in a second cohort. This identified four loci
containing variants that confer type 2 diabetes risk, in addition to
confirming the known association with the TCF7L2 gene. These loci include a
non-synonymous polymorphism in the zinc transporter SLC30A8, which is
expressed exclusively in insulin-producing beta-cells, and two linkage
disequilibrium blocks that contain genes potentially involved in beta-cell
development or function (IDE - KIF11 - HHEX and EXT2 - ALX4). These
associations explain a substantial portion of disease risk and constitute
proof of principle for the genome-wide approach to the elucidation of
complex genetic traits."
This 2007 report from Nature was cited 62
times in current journal articles indexed by Clarivate
during March-April 2008. During that two-month period, only one other paper
published in the last two years and categorized as clinical medicine (aside
from reviews) collected a higher number of citations. Prior to the
most
recent bimonthly count, citations to the paper have accrued as follows:
SOURCE:
Hot Papers
Database (Included with a subscription to the print newsletter
Science
Watch®, available from the
Research Services
Group of
Thomson
Reuters. Packaged on a CD that is mailed
with each Science Watch issue, the Hot Papers
Database contains data on hundreds of highly cited papers published during
the last two years. User interface permits searching by author,
organization, journal, field, and more. Total citations, as well as
citations accrued during successive bimonthly periods, can be assessed and
graphed. An updated CD containing the most recent bimonthly data is mailed
with every new issue of Science Watch, six times a
year. The CD also includes an electronic version of the Science
Watch issue in HTML format, for personal desktop
access.