Zobrazeno 1 - 10
of 1 808
pro vyhledávání: '"statistical genetics"'
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Background Approximately 95% of samples analyzed in univariate genome-wide association studies (GWAS) are of European ancestry. This bias toward European ancestry populations in association screening also exists for other analyses and method
Externí odkaz:
https://doaj.org/article/efd13092ad5f41eea9bf565ee77456a6
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-22 (2023)
Abstract Background Genome-wide tests, including genome-wide association studies (GWAS) of germ-line genetic variants, driver tests of cancer somatic mutations, and transcriptome-wide association tests of RNAseq data, carry a high multiple testing bu
Externí odkaz:
https://doaj.org/article/8803d157232c4fce8094456077bf7473
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-15 (2022)
Abstract Background Organisms in the wild can acquire disease- and stress-resistance traits that outstrip the programs endogenous to humans. Finding the molecular basis of such natural resistance characters is a key goal of evolutionary genetics. Sta
Externí odkaz:
https://doaj.org/article/2d8d97ea829f493f9437cdae59dde6db
Autor:
Kaylyn Clark, Wei Fu, Chia-Lun Liu, Pei-Chuan Ho, Hui Wang, Wan-Ping Lee, Shin-Yi Chou, Li-San Wang, Jung-Ying Tzeng
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2023)
To better capture the polygenic architecture of Alzheimer’s disease (AD), we developed a joint genetic score, MetaGRS. We incorporated genetic variants for AD and 24 other traits from two independent cohorts, NACC (n = 3,174, training set) and UPit
Externí odkaz:
https://doaj.org/article/49e6b655ea86473b9bfed9462e076da4
Akademický článek
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Akademický článek
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Publikováno v:
eLife, Vol 12 (2023)
Obesity is a major risk factor for cardiovascular disease, stroke, and type 2 diabetes (T2D). Excessive accumulation of fat in the abdomen further increases T2D risk. Abdominal obesity is measured by calculating the ratio of waist-to-hip circumferenc
Externí odkaz:
https://doaj.org/article/20e27820d0774e8690b2a51b450d67cf
Autor:
Yiqi Yao, Alejandro Ochoa
Publikováno v:
eLife, Vol 12 (2023)
Principal Component Analysis (PCA) and the Linear Mixed-effects Model (LMM), sometimes in combination, are the most common genetic association models. Previous PCA-LMM comparisons give mixed results, unclear guidance, and have several limitations, in
Externí odkaz:
https://doaj.org/article/b08f660cef1740ae982d252388aeef7e
Publikováno v:
Genome Biology, Vol 23, Iss 1, Pp 1-32 (2022)
Abstract Genetic studies of human traits have revolutionized our understanding of the variation between individuals, and yet, the genetics of most traits is still poorly understood. In this review, we highlight the major open problems that need to be
Externí odkaz:
https://doaj.org/article/f34c94b0917f46d98f6c1a03acf39d02
Autor:
Ammarah Ghaffar, Dale R. Nyholt
Publikováno v:
Frontiers in Genetics, Vol 13 (2023)
The identification of pathogenically-relevant genes and tissues for complex traits can be a difficult task. We developed an approach named genome-wide imputed differential expression enrichment (GIDEE), to prioritise trait-relevant tissues by combini
Externí odkaz:
https://doaj.org/article/d86d4a16a18040cd8185ed1ea2c8449b