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Sequence variation and genetic evolution at the human F12 locus: mapping quantitative trait nucleotides that influence FXII plasma levels.

ABSTRACT: The level of Factor XII (FXII) is an important phenotype that exhibits a high genetic component and is associated with thrombotic disease. In a genome-wide linkage scan, we demonstrated that the F12 gene represents a quantitative trait locus (QTL) that influences FXII levels. The current study investigated the genetic architecture of the F12 gene to locate polymorphism(s) responsible for the variation of FXII levels. Re-sequencing of the F12 gene in 40 unrelated individuals (selected from the tails of normal distribution of FXII levels) identified 26 polymorphisms which were genotyped in 398 individuals belonging to 21 families from the GAIT Project. By a measured genotype association analysis, eight of 26 SNPs showed significant P-values less than 10(-5) (after multiple test correction) with FXII levels. In addition, the Bayesian Quantitative Trait Nucleotide method, which infers those polymorphisms most likely to have a direct influence on the trait under study, provided evidence that only rs1801020 variation accounted for the variance attributed to this QTL. Moreover, we have analyzed the evolutionary processes that produced the variation in F12 gene and concluded that is evolutionarily neutral and that the T allele of the rs1801020 appeared approximately 100 000 years ago and spread to most human populations rising to high frequencies by genetic drift. Our study provides a template for future genetic studies of human quantitative traits, as we move beyond QTL localization to the polymorphisms responsible for the variation of important biomedical phenotypes.

SUBMITTER: Calafell F

PROVIDER: S-EPMC2798724 | biostudies-literature | 2010 Feb

REPOSITORIES: biostudies-literature

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Sequence variation and genetic evolution at the human F12 locus: mapping quantitative trait nucleotides that influence FXII plasma levels.

Calafell Francesc F Almasy Laura L Sabater-Lleal Maria M Buil Alfonso A Mordillo Carolina C Ramírez-Soriano Anna A Sikora Martin M Souto Juan Carlos JC Blangero John J Fontcuberta Jordi J Soria José Manuel JM

Human molecular genetics 20091123 3

The level of Factor XII (FXII) is an important phenotype that exhibits a high genetic component and is associated with thrombotic disease. In a genome-wide linkage scan, we demonstrated that the F12 gene represents a quantitative trait locus (QTL) that influences FXII levels. The current study investigated the genetic architecture of the F12 gene to locate polymorphism(s) responsible for the variation of FXII levels. Re-sequencing of the F12 gene in 40 unrelated individuals (selected from the ta ...[more]

PMID: 19933701

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Project description:Molecular quantitative trait locus (QTL) analyses are increasingly popular to explore the genetic architecture of complex traits, but existing studies do not leverage shared regulatory patterns and suffer from a large multiplicity burden, which hampers the detection of weak signals such as trans associations. Here, we present a fully multivariate proteomic QTL (pQTL) analysis performed with our recently proposed Bayesian method LOCUS on data from two clinical cohorts, with plasma protein levels quantified by mass-spectrometry and aptamer-based assays. Our two-stage study identifies 136 pQTL associations in the first cohort, of which >80% replicate in the second independent cohort and have significant enrichment with functional genomic elements and disease risk loci. Moreover, 78% of the pQTLs whose protein abundance was quantified by both proteomic techniques are confirmed across assays. Our thorough comparisons with standard univariate QTL mapping on (1) these data and (2) synthetic data emulating the real data show how LOCUS borrows strength across correlated protein levels and markers on a genome-wide scale to effectively increase statistical power. Notably, 15% of the pQTLs uncovered by LOCUS would be missed by the univariate approach, including several trans and pleiotropic hits with successful independent validation. Finally, the analysis of extensive clinical data from the two cohorts indicates that the genetically-driven proteins identified by LOCUS are enriched in associations with low-grade inflammation, insulin resistance and dyslipidemia and might therefore act as endophenotypes for metabolic diseases. While considerations on the clinical role of the pQTLs are beyond the scope of our work, these findings generate useful hypotheses to be explored in future research; all results are accessible online from our searchable database. Thanks to its efficient variational Bayes implementation, LOCUS can analyze jointly thousands of traits and millions of markers. Its applicability goes beyond pQTL studies, opening new perspectives for large-scale genome-wide association and QTL analyses. Diet, Obesity and Genes (DiOGenes) trial registration number: NCT00390637.

Dataset Information

Sequence variation and genetic evolution at the human F12 locus: mapping quantitative trait nucleotides that influence FXII plasma levels.

Publications

Sequence variation and genetic evolution at the human F12 locus: mapping quantitative trait nucleotides that influence FXII plasma levels.

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