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Multipoint quantitative-trait linkage analysis in general pedigrees.
It is shown how variance-component linkage methods can be used in pedigrees of arbitrary size and complexity, and a general framework for multipoint identity-by-descent (IBD) probability calculations is developed.
Genetic studies of body mass index yield new insights for obesity biology
A genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals provide strong support for a role of the central nervous system in obesity susceptibility.
Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies
Defining the role of common variation in the genomic and biological architecture of adult human height
The results indicate a genetic architecture for human height that is characterized by a very large but finite number of causal variants, including mTOR, osteoglycin and binding of hyaluronic acid.
New genetic loci link adipose and insulin biology to body fat distribution
A genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.
Detection of differential gene flow from patterns of quantitative variation.
The Harpending-Ward model is extended to quantitative traits using an equal and additive effects model of inheritance and new methods for estimation of the genetic relationship matrix (R) from quantitative traits are developed.
A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants
The results support the hypothesis that rare coding variants can pinpoint causal genes within known genetic loci and illustrate that applying the approach systematically to detect new loci requires extremely large sample sizes.
Discovery of expression QTLs using large-scale transcriptional profiling in human lymphocytes
To highlight the usefulness of this much-enlarged map of cis-regulated transcripts for the discovery of genes that influence complex traits in humans, as an example, high-density lipoprotein cholesterol concentration is selected as a phenotype of clinical importance and the cis- regulated vanin 1 (VNN1) gene is identified as harboring sequence variants that influence high- density lipop protein cholesterol concentrations.
Genetic Analysis Workshop 17 mini-exome simulation
The data set simulated for Genetic Analysis Workshop 17 was designed to mimic a subset of data that might be produced in a full exome screen for a complex disorder and related risk factors in order…
Quantitative trait loci on chromosomes 3 and 17 influence phenotypes of the metabolic syndrome.
- A. Kissebah, G. Sonnenberg, A. Comuzzie
- Biology, MedicineProceedings of the National Academy of Sciences…
- 19 December 2000
Pedigree-based analysis using a variance components linkage model demonstrated a quantitative trait locus (QTL) on chromosome 3 (3q27) strongly linked to six traits representing these fundamental phenotypes, and candidate genes likely to influence two biologic precursor pathways of the metabolic syndrome are identified.