Results 1 to 10 of about 118,670 (118)

Editorial: Statistical methods for genome-wide association studies (GWAS) and transcriptome-wide association studies (TWAS) and their applications [PDF]

Frontiers in Genetics, 2023
Mengting Shao, Zilong Zhang, Huiyan Sun, Jingni He, Juexin Wang, Qingrun Zhang, Chen Cao   +6 more
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Maternal and offspring genome-wide association study of C-reactive protein reveals limited polygenic association with gestational diabetes mellitus [PDF]

BMC Genomics
Background C-reactive protein (CRP) is a well-established biomarker of systemic inflammation. In pregnancy, several studies show association of elevated CRP with gestational diabetes mellitus (GDM). However, the genetic contributions of CRP levels during
Yu Zhang, Amy Moore, Kelli K. Ryckman, Qi Yan, Rafael F. Guerrero, Ming Li, Robert M. Silver, Juhua Luo, Lynn M Yee, Uma M. Reddy, Maisa N. Feghali, Judith Chung, David M. Haas, Kok Lim Kua, Nianjun Liu   +14 more
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Pathway Analysis of Genome Wide Association Studies (GWAS) Data Associated with Male Infertility

Reproductive Medicine, 2022
Background: Infertility is a common condition affecting approximately 10–20% of the reproductive age population. Idiopathic infertility cases are thought to have a genetic basis, but the underlying causes are largely unknown.
Rupashree Salvi, Ulka Gawde, Susan Idicula-Thomas, Barnali Biswas   +3 more
doaj   +1 more source

Genome-wide Studies of knee Osteoarthritis: Review [PDF]

Travmatologiâ i Ortopediâ Rossii, 2021
Background. Knee osteoarthritis (OA) is a multifactorial disease resulting from the interaction of many environmental, epigenetic and genetic risk factors, and the latter account for 40% to 65%.
Vitaly B. Novakov, Olga N. Novakova, Mikhail I. Churnosov   +2 more
doaj   +1 more source

Uncovering myocardial infarction genetic signatures using GWAS exploration in Saudi and European cohorts

Scientific Reports, 2023
Genome-wide association studies (GWAS) have yielded significant insights into the genetic architecture of myocardial infarction (MI), although studies in non-European populations are still lacking.
Amein K. Al-Ali, Abdullah M. Al-Rubaish, Rudaynah A. Alali, Mohammed S. Almansori, Mohammed A. Al-Jumaan, Abdullah M. Alshehri, Mohammed S. Al-Madan, ChittiBabu Vatte, Tess Cherlin, Sylvia Young, Shefali S. Verma, Grant Morahan, Bobby P. C. Koeleman, Brendan J. Keating   +13 more
doaj   +1 more source

Genome-Wide Association and Transcriptome-Wide Association Studies Identify Novel Susceptibility Genes Contributing to Colorectal Cancer

Journal of Immunology Research, 2022
Background. Colorectal cancer (CRC) is among the most common cancers diagnosed worldwide. Although genome-wide association studies have effectively identified the genetic basis of CRC, there is still unexplained variability in genetic risk. Transcriptome-
Ruimin Yin, Binbin Song, Jingjing Wang, Chaodan Shao, Yufen Xu, HongGang Jiang   +5 more
doaj   +1 more source

On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies

BMC Bioinformatics, 2012
Background Genome-wide association studies (GWAS) with metabolic traits and metabolome-wide association studies (MWAS) with traits of biomedical relevance are powerful tools to identify the contribution of genetic, environmental and lifestyle factors to ...
Petersen Ann-Kristin, Krumsiek Jan, Wägele Brigitte, Theis Fabian J, Wichmann H-Erich, Gieger Christian, Suhre Karsten   +6 more
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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

Biological constraints on GWAS SNPs at suggestive significance thresholds reveal additional BMI loci

eLife, 2021
To uncover novel significant association signals (p<5×10−8), genome-wide association studies (GWAS) requires increasingly larger sample sizes to overcome statistical correction for multiple testing. As an alternative, we aimed to identify associations
Reza K Hammond, Matthew C Pahl, Chun Su, Diana L Cousminer, Michelle E Leonard, Sumei Lu, Claudia A Doege, Yadav Wagley, Kenyaita M Hodge, Chiara Lasconi, Matthew E Johnson, James A Pippin, Kurt D Hankenson, Rudolph L Leibel, Alessandra Chesi, Andrew D Wells, Struan FA Grant   +16 more
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Optimized homomorphic encryption solution for secure genome-wide association studies

BMC Medical Genomics, 2020
Background Genome-Wide Association Studies (GWAS) refer to observational studies of a genome-wide set of genetic variants across many individuals to see if any genetic variants are associated with a certain trait.
Marcelo Blatt, Alexander Gusev, Yuriy Polyakov, Kurt Rohloff, Vinod Vaikuntanathan   +4 more
doaj   +1 more source