Results 21 to 30 of about 669,401 (295)

The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog)

Nucleic Acids Res., 2016
The NHGRI-EBI GWAS Catalog has provided data from published genome-wide association studies since 2008. In 2015, the database was redesigned and relocated to EMBL-EBI.
J. MacArthur, Emily Bowler, M. Cerezo, Laurent Gil, Peggy Hall, Emma Hastings, Heather Junkins, A. McMahon, Annalisa Milano, Joannella Morales, Z. Pendlington, Danielle Welter, Tony Burdett, L. Hindorff, P. Flicek, Fiona Cunningham, H. Parkinson   +16 more
semanticscholar   +1 more source

SNPpy--database management for SNP data from genome wide association studies. [PDF]

PLoS ONE, 2011
We describe SNPpy, a hybrid script database system using the Python SQLAlchemy library coupled with the PostgreSQL database to manage genotype data from Genome-Wide Association Studies (GWAS). This system makes it possible to merge study data with HapMap
Faheem Mitha, Herodotos Herodotou, Nedyalko Borisov, Chen Jiang, Josh Yoder, Kouros Owzar   +5 more
doaj   +1 more source

Meta-analysis of genome-wide association studies for height and body mass index in ∼700,000 individuals of European ancestry

bioRxiv, 2018
Genome-wide association studies (GWAS) stand as powerful experimental designs for identifying DNA variants associated with complex traits and diseases. In the past decade, both the number of such studies and their sample sizes have increased dramatically.
L. Yengo, J. Sidorenko, K. Kemper, Zhili Zheng, A. Wood, M. Weedon, T. Frayling, J. Hirschhorn, Jian Yang, P. Visscher   +9 more
semanticscholar   +1 more source

Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Genome Biology, 2021
Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a ...
D. McCartney, J. Min, R. Richmond, A. Lu, M. Sobczyk, G. Davies, L. Broer, Xiuqing Guo, A. Jeong, Jeesun Jung, S. Kasela, S. Katrinli, Pei-lun Kuo, P. Matías-García, Pashupati P. Mishra, Marianne Nygaard, T. Palviainen, A. Patki, L. Raffield, S. Ratliff, T. Richardson, O. Robinson, M. Soerensen, Dianjianyi Sun, P. Tsai, M. D. Zee, R. Walker, Xiaochuan Wang, Yunzhang Wang, R. Xia, Zongli Xu, Jie Yao, Wei Zhao, A. Correa, E. Boerwinkle, P. Dugué, P. Durda, H. Elliott, C. Gieger, E. D. Geus, S. Harris, G. Hemani, M. Imboden, M. Kähönen, S. Kardia, J. Kresovich, Shengxu Li, K. Lunetta, M. Mangino, D. Mason, A. McIntosh, J. Mengel-From, A. Moore, J. Murabito, M. Ollikainen, J. Pankow, N. Pedersen, A. Peters, S. Polidoro, D. Porteous, O. Raitakari, S. Rich, D. Sandler, E. Sillanpää, Alicia K. Smith, M. Southey, K. Strauch, H. Tiwari, Toshiko Tanaka, T. Tillin, A. Uitterlinden, D. Berg, J. Dongen, James G. Wilson, John Wright, Idil Yet, D. Arnett, S. Bandinelli, J. Bell, Alexandra M. Binder, D. Boomsma, Wei Chen, K. Christensen, K. Conneely, P. Elliott, L. Ferrucci, M. Fornage, S. Hägg, C. Hayward, M. Irvin, J. Kaprio, D. Lawlor, T. Lehtimäki, F. Lohoff, L. Milani, R. Milne, N. Probst-Hensch, A. Reiner, B. Ritz, J. Rotter, Jennifer A. Smith, Jack A. Taylor, J. Meurs, P. Vineis, M. Waldenberger, I. Deary, C. Relton, S. Horvath, R. Marioni, The Autism Spectrum Disorders Working Group of The Psy Consortium, Nhlbi Trans-Omics for Precision Medicine Consortium   +110 more
semanticscholar   +1 more source

Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies

PLoS Genetics, 2016
False positives in a Genome-Wide Association Study (GWAS) can be effectively controlled by a fixed effect and random effect Mixed Linear Model (MLM) that incorporates population structure and kinship among individuals to adjust association tests on ...
Xiaolei Liu, Meng Huang, B. Fan, E. Buckler, Zhiwu Zhang   +4 more
semanticscholar   +1 more source

Simulating variance heterogeneity in quantitative genome wide association studies

BMC Bioinformatics, 2018
Background Analyzing Variance heterogeneity in genome wide association studies (vGWAS) is an emerging approach for detecting genetic loci involved in gene-gene and gene-environment interactions.
Ahmad Al Kawam, Mustafa Alshawaqfeh, James J. Cai, Erchin Serpedin, Aniruddha Datta   +4 more
doaj   +1 more source

Genome Wide Association Studies Using Multiple-lactation Breeding Value in Holsteins [PDF]

Asian-Australasian Journal of Animal Sciences, 2015
A genome wide association study was conducted using estimated breeding value (EBV) for milk production traits from 1st to 4th lactation. Significant single nucleotide polymorphism (SNP) markers were selected for each trait and the differences were ...
Kwang-Hyun Cho, Jae-Don Oh, Hee-bal Kim, Kyung-Do Park, Joon-Ho Lee   +4 more
doaj   +1 more source

Genome-wide association studies in psychiatry: Current perspectives

European Psychiatry, 2021
Body Genome-wide Association Studies in Psychiatry - Current Perspectives Last decade was exciting time for human genetic studies. Genome-wide association studies (GWASs), used to examine the association of genotyped variants across the entire genome and
D. Smajlagic, T. Zayats, M. Bekkehus, S. Le Hellard   +3 more
doaj   +1 more source

Genome-wide Efficient Mixed Model Analysis for Association Studies

Nature Genetics, 2012
Linear mixed models have attracted considerable attention recently as a powerful and effective tool for accounting for population stratification and relatedness in genetic association tests.
Xiaoping Zhou, M. Stephens
semanticscholar   +1 more source

Sequencing-based genome-wide association studies reporting standards

Cell Genomics, 2021
Summary: Genome sequencing has recently become a viable genotyping technology for use in genome-wide association studies (GWASs), offering the potential to analyze a broader range of genome-wide variation, including rare variants.
Aoife McMahon, Elizabeth Lewis, Annalisa Buniello, Maria Cerezo, Peggy Hall, Elliot Sollis, Helen Parkinson, Lucia A. Hindorff, Laura W. Harris, Jacqueline A.L. MacArthur   +9 more
doaj   +1 more source