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3 results on '"Lee, Chanwook"'

1. Mendelian imputation of parental genotypes improves estimates of direct genetic effects

Author

Young, Alexander I, Nehzati, Seyed Moeen, Benonisdottir, Stefania, Okbay, Aysu, Jayashankar, Hariharan, Lee, Chanwook, Cesarini, David, Benjamin, Daniel J, Turley, Patrick, and Kong, Augustine

Subjects
Biological Sciences, Genetics, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Generic health relevance, Genome-Wide Association Study, Genotype, Humans, Parents, Polymorphism, Single Nucleotide, Software, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Effects estimated by genome-wide association studies (GWASs) include effects of alleles in an individual on that individual (direct genetic effects), indirect genetic effects (for example, effects of alleles in parents on offspring through the environment) and bias from confounding. Within-family genetic variation is random, enabling unbiased estimation of direct genetic effects when parents are genotyped. However, parental genotypes are often missing. We introduce a method that imputes missing parental genotypes and estimates direct genetic effects. Our method, implemented in the software package snipar (single-nucleotide imputation of parents), gives more precise estimates of direct genetic effects than existing approaches. Using 39,614 individuals from the UK Biobank with at least one genotyped sibling/parent, we estimate the correlation between direct genetic effects and effects from standard GWASs for nine phenotypes, including educational attainment (r = 0.739, standard error (s.e.) = 0.086) and cognitive ability (r = 0.490, s.e. = 0.086). Our results demonstrate substantial confounding bias in standard GWASs for some phenotypes.

Published
2022

2. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle

Author

Meddens, S Fleur W, de Vlaming, Ronald, Bowers, Peter, Burik, Casper AP, Linnér, Richard Karlsson, Lee, Chanwook, Okbay, Aysu, Turley, Patrick, Rietveld, Cornelius A, Fontana, Mark Alan, Ghanbari, Mohsen, Imamura, Fumiaki, McMahon, George, van der Most, Peter J, Voortman, Trudy, Wade, Kaitlin H, Anderson, Emma L, Braun, Kim VE, Emmett, Pauline M, Esko, Tonũ, Gonzalez, Juan R, Kiefte-de Jong, Jessica C, Langenberg, Claudia, Luan, Jian’an, Muka, Taulant, Ring, Susan, Rivadeneira, Fernando, Snieder, Harold, van Rooij, Frank JA, Wolffenbuttel, Bruce HR, Smith, George Davey, Franco, Oscar H, Forouhi, Nita G, Ikram, M Arfan, Uitterlinden, Andre G, van Vliet-Ostaptchouk, Jana V, Wareham, Nick J, Cesarini, David, Harden, K Paige, Lee, James J, Benjamin, Daniel J, Chow, Carson C, and Koellinger, Philipp D

Subjects
Biomedical and Clinical Sciences, Nutrition and Dietetics, Prevention, Behavioral and Social Science, Genetics, Obesity, Human Genome, Nutrition, Diabetes, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Metabolic and endocrine, Body Mass Index, Diabetes Mellitus, Type 2, Diet, Genome-Wide Association Study, Genomics, Humans, Life Style, 23andMe Research Team, EPIC- InterAct Consortium, Lifelines Cohort Study, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

We conducted genome-wide association studies (GWAS) of relative intake from the macronutrients fat, protein, carbohydrates, and sugar in over 235,000 individuals of European ancestries. We identified 21 unique, approximately independent lead SNPs. Fourteen lead SNPs are uniquely associated with one macronutrient at genome-wide significance (P

Published
2021

3. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle.

Author

Meddens, S Fleur W, de Vlaming, Ronald, Bowers, Peter, Burik, Casper AP, Linnér, Richard Karlsson, Lee, Chanwook, Okbay, Aysu, Turley, Patrick, Rietveld, Cornelius A, Fontana, Mark Alan, Ghanbari, Mohsen, Imamura, Fumiaki, McMahon, George, van der Most, Peter J, Voortman, Trudy, Wade, Kaitlin H, Anderson, Emma L, Braun, Kim VE, Emmett, Pauline M, Esko, Tonũ, Gonzalez, Juan R, Kiefte-de Jong, Jessica C, Langenberg, Claudia, Luan, Jian'an, Muka, Taulant, Ring, Susan, Rivadeneira, Fernando, Snieder, Harold, van Rooij, Frank JA, Wolffenbuttel, Bruce HR, 23andMe Research Team, EPIC- InterAct Consortium, Lifelines Cohort Study, Smith, George Davey, Franco, Oscar H, Forouhi, Nita G, Ikram, M Arfan, Uitterlinden, Andre G, van Vliet-Ostaptchouk, Jana V, Wareham, Nick J, Cesarini, David, Harden, K Paige, Lee, James J, Benjamin, Daniel J, Chow, Carson C, and Koellinger, Philipp D

Subjects
23andMe Research Team, EPIC- InterAct Consortium, Lifelines Cohort Study, Diabetes, Obesity, Human Genome, Nutrition, Prevention, Genetics, 2.1 Biological and endogenous factors, Metabolic and endocrine, Cardiovascular, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

We conducted genome-wide association studies (GWAS) of relative intake from the macronutrients fat, protein, carbohydrates, and sugar in over 235,000 individuals of European ancestries. We identified 21 unique, approximately independent lead SNPs. Fourteen lead SNPs are uniquely associated with one macronutrient at genome-wide significance (P

Published
2021

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