@article {373,
	title = {Identification of Rare Variants in Metabolites of the Carnitine Pathway by Whole Genome Sequencing Analysis.},
	journal = {Genet Epidemiol},
	volume = {40},
	year = {2016},
	month = {2016 09},
	pages = {486-91},
	abstract = {<p>We use whole genome sequence data and rare variant analysis methods to investigate a subset of the human serum metabolome, including 16 carnitine-related metabolites that are important components of mammalian energy metabolism. Medium pass sequence data consisting of 12,820,347 rare variants and serum metabolomics data were available on 1,456 individuals. By applying a penalization method, we identified two genes FGF8 and MDGA2 with significant effects on lysine and cis-4-decenoylcarnitine, respectively, using Δ-AIC and likelihood ratio test statistics. Single variant analyses in these regions did not identify a single low-frequency variant (minor allele count > 3) responsible for the underlying signal. The results demonstrate the utility of whole genome sequence and innovative analyses for identifying candidate regions influencing complex phenotypes.</p>},
	keywords = {Biomarkers, Carnitine, Female, Fibroblast Growth Factor 8, Genetic Variation, GPI-Linked Proteins, High-Throughput Nucleotide Sequencing, Humans, Linkage Disequilibrium, Lysine, Male, Metabolomics, Middle Aged, Neural Cell Adhesion Molecules, Polymorphism, Single Nucleotide, Sequence Analysis, DNA},
	issn = {1098-2272},
	doi = {10.1002/gepi.21980},
	author = {Yazdani, Akram and Yazdani, Azam and Liu, Xiaoming and Boerwinkle, Eric}
}
@article {25,
	title = {Loss-of-function variants influence the human serum metabolome.},
	journal = {Sci Adv},
	volume = {2},
	year = {2016},
	month = {2016 Aug},
	pages = {e1600800},
	abstract = {<p>The metabolome is a collection of small molecules resulting from multiple cellular and biological processes that can act as biomarkers of disease, and African-Americans exhibit high levels of genetic diversity. Exome sequencing of a sample of deeply phenotyped African-Americans allowed us to analyze the effects of annotated loss-of-function (LoF) mutations on 308 serum metabolites measured by untargeted liquid and gas chromatography coupled with mass spectrometry. In an independent sample, we identified and replicated four genes harboring six LoF mutations that significantly affected five metabolites. These sites were related to a 19 to 45\% difference in geometric mean metabolite levels, with an average effect size of 25\%. We show that some of the affected metabolites are risk predictors or diagnostic biomarkers of disease and, using the principle of Mendelian randomization, are in the causal pathway of disease. For example, LoF mutations in SLCO1B1 elevate the levels of hexadecanedioate, a fatty acid significantly associated with increased blood pressure levels and risk of incident heart failure in both African-Americans and an independent sample of European-Americans. We show that SLCO1B1 LoF mutations significantly increase the risk of incident heart failure, thus implicating the metabolite in the causal pathway of disease. These results reveal new avenues into gene function and the understanding of disease etiology by integrating -omic technologies into a deeply phenotyped population study.</p>},
	keywords = {Aged, Biomarkers, Black or African American, Exome, Female, Genetic Variation, Heart Failure, High-Throughput Nucleotide Sequencing, Humans, Hypertension, Liver-Specific Organic Anion Transporter 1, Male, Metabolome, Middle Aged, Mutation, Risk Factors, White People},
	issn = {2375-2548},
	doi = {10.1126/sciadv.1600800},
	author = {Yu, Bing and Li, Alexander H and Metcalf, Ginger A and Muzny, Donna M and Morrison, Alanna C and White, Simon and Mosley, Thomas H and Gibbs, Richard A and Boerwinkle, Eric}
}
