TY - JOUR
T1 - The emerging pattern of the genetic contribution to human obesity
AU - Comuzzie, Anthony G.
N1 - Funding Information:
by National Institutes of Health grants HL45522, HL28972,
Funding Information:
This work was supported in part DK059264 and HD41111.
PY - 2002
Y1 - 2002
N2 - It has been a little more than 5 years since the publication of the first genome scans focused on obesity-related phenotypes in humans. While the number of scans reported has grown steadily during this time, the results from many of these studies have been modest at best. However, there are a handful of studies that have now reported highly significant findings, and even more important perhaps is the fact that several of these findings have now been replicated as well. Currently there is strong statistical support for approximately half a dozen quantitative trait loci (QTLs) influencing obesity-related phenotypes across a number of populations and ethnic groups. While some of these signals localize near genes that might have been considered a priori as candidate genes for obesity, several others offer evidence for previously unsuspected genes. As a result, there is an intriguing pattern of genetic contribution to obesity that has begun to emerge and which promises to greatly increase our understanding of the relationship between obesity and other chronic diseases such as coronary heart disease and type 2 diabetes.
AB - It has been a little more than 5 years since the publication of the first genome scans focused on obesity-related phenotypes in humans. While the number of scans reported has grown steadily during this time, the results from many of these studies have been modest at best. However, there are a handful of studies that have now reported highly significant findings, and even more important perhaps is the fact that several of these findings have now been replicated as well. Currently there is strong statistical support for approximately half a dozen quantitative trait loci (QTLs) influencing obesity-related phenotypes across a number of populations and ethnic groups. While some of these signals localize near genes that might have been considered a priori as candidate genes for obesity, several others offer evidence for previously unsuspected genes. As a result, there is an intriguing pattern of genetic contribution to obesity that has begun to emerge and which promises to greatly increase our understanding of the relationship between obesity and other chronic diseases such as coronary heart disease and type 2 diabetes.
KW - Genome scan
KW - Linkage
KW - Positional candidate genes
KW - Quantitative trait loci (QTLs)
KW - Replication
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U2 - 10.1053/beem.2002.0224
DO - 10.1053/beem.2002.0224
M3 - Review article
C2 - 12468410
AN - SCOPUS:0036915306
SN - 1521-690X
VL - 16
SP - 611
EP - 621
JO - Best Practice and Research in Clinical Endocrinology and Metabolism
JF - Best Practice and Research in Clinical Endocrinology and Metabolism
IS - 4
ER -