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Samuli Ripatti
Massachusetts Institute of Technology
1Publications
Publications 4
Newest
#1R. Tabassum (UH: University of Helsinki)H-Index: 1
#2FinnGen (UH: University of Helsinki)
Last.Samuli Ripatti (MIT: Massachusetts Institute of Technology)
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Understanding genetic architecture of plasma lipidome could provide better insights into lipid metabolism and its link to cardiovascular diseases (CVDs). Here, we perform genome-wide association analyses of 141 lipid species (n = 2,181 individuals), followed by phenome-wide scans with 25 CVD related phenotypes (n = 511,700 individuals). We identify 35 lipid-species-associated loci (P <5 ×10−8), 10 of which associate with CVD risk including five new loci-COL5A1, GLTPD2, SPTLC3, MBOAT7 and GALNT16...
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#1Adam E. Locke (UM: University of Michigan)H-Index: 25
#2Karyn Meltz Steinberg (WashU: Washington University in St. Louis)H-Index: 17
Last.Nelson B. Freimer (Semel Institute for Neuroscience and Human Behavior)H-Index: 4
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Exome-sequencing studies have generally been underpowered to identify deleterious alleles with a large effect on complex traits as such alleles are mostly rare. Because the population of northern and eastern Finland has expanded considerably and in isolation following a series of bottlenecks, individuals of these populations have numerous deleterious alleles at a relatively high frequency. Here, using exome sequencing of nearly 20,000 individuals from these regions, we investigate the role of ra...
3 CitationsSource
#1Jake Lin (UH: University of Helsinki)
#2R. Tabassum (UH: University of Helsinki)H-Index: 1
Last.Matti Pirinen (MIT: Massachusetts Institute of Technology)
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MetaPhat detects genetic variants with multivariate associations by using summary statistics from univariate genome-wide association studies, and performs phenotype decomposition by finding statistically optimal subsets of the traits behind each multivariate association. An intuitive trace plot of traits and a similarity measure of variants are provided to interpret multivariate associations.
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#1R. Tabassum (UH: University of Helsinki)H-Index: 1
#2J. T. Rämö (UH: University of Helsinki)H-Index: 1
Last.Samuli Ripatti (MIT: Massachusetts Institute of Technology)
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Aim: Genetic investigation of human plasma lipidome to get insights into lipid-related disorders beyond traditional lipid measures. Methods and Results: We performed a genome-wide association study (GWAS) of 141 lipid species (n=2,181 individuals), followed by phenome-wide scans (PheWAS) with 44 clinical end-points related to cardiometabolic, psychiatric and gastrointestinal disorders (n=456,941 individuals). SNP-based heritability for lipid species ranged from 0.10-0.54. Lipids with long-chain ...
5 CitationsSource
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