scholarly journals Case-only genome-wide interaction study of disease risk, prognosis and treatment

2009 ◽  
pp. n/a-n/a ◽  
Author(s):  
Brandon L. Pierce ◽  
Habibul Ahsan
2021 ◽  
Author(s):  
S. T. Amorim ◽  
N. B. Stafuzza ◽  
S. Kluska ◽  
E. Peripolli ◽  
A. S. C. Pereira ◽  
...  

2019 ◽  
Vol 122 ◽  
pp. 263-269 ◽  
Author(s):  
Xiang Zeng ◽  
Judith M. Vonk ◽  
Diana A. van der Plaat ◽  
Alen Faiz ◽  
Peter D. Paré ◽  
...  

2015 ◽  
Vol 240 (2) ◽  
pp. 462-467 ◽  
Author(s):  
Chuanhui Dong ◽  
David Della-Morte ◽  
Ashley Beecham ◽  
Liyong Wang ◽  
Digna Cabral ◽  
...  

Author(s):  
Jami Jackson ◽  
Alison Motsinger-Reif

Rapid progress in genotyping technologies, including the scaling up of assay technologies to genome-wide levels and next generation sequencing, has motivated a burst in methods development and application to detect genotype-phenotype associations in a wide array of diseases and other phenotypes. In this chapter, the authors review the study design and genotyping options that are used in association mapping, along with the appropriate methods to perform mapping within these study designs. The authors discuss both candidate gene and genome-wide studies, focused on DNA level variation. Quality control, genotyping technologies, and single-SNP and multiple-SNP analyses have facilitated the successes in identifying numerous loci influence disease risk. However, variants identified have generally explained only a small fraction of the heritable component of disease risk. The authors discuss emerging trends and future directions in performing analysis for rare variants to detect these variants that predict these traits with more complex etiologies.


2018 ◽  
Vol 50 (10) ◽  
pp. 1483-1493 ◽  
Author(s):  
Yakir A. Reshef ◽  
Hilary K. Finucane ◽  
David R. Kelley ◽  
Alexander Gusev ◽  
Dylan Kotliar ◽  
...  

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S221-S221
Author(s):  
Luke C Pilling ◽  
Luigi Ferrucci ◽  
David Melzer

Abstract Thousands of loci across the genome have been identified for specific diseases in genome-wide association studies (GWAS), yet very few are associated with lifespan itself. We hypothesized that specific biological pathways transcend individual diseases and affect health and lifespan more broadly. Using the published results for the most recent GWAS for 10 key age-related diseases (including coronary artery disease, type-2 diabetes, and several cancers) we identified 22 loci with a strong genetic association with at least three of the diseases. These multi-trait aging loci include known genes affecting multiple diverse health end points, such as CDKN2A/B (9p21.3) and APOE. There are also novel multi-trait genes including SH2B3 and CASC8, likely involved in hallmark pathways of aging biology, including telomere shortening and inflammation. Several of these loci involve trade-offs between chronic disease risk and cancer.


Epigenomics ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 789-800
Author(s):  
Honghuang Lin ◽  
Fan Wang ◽  
Andrew J Rosato ◽  
Lindsay A Farrer ◽  
David C Henderson ◽  
...  

Aim: This study aimed to investigate the function of genome-wide association study (GWAS)-identified variants associated with alcohol use disorder (AUD)/comorbid psychiatric disorders. Materials & methods: Genome-wide genotype, transcriptome and DNA methylome data were obtained from postmortem prefrontal cortex (PFC) of 48 Caucasians (24 AUD cases/24 controls). Expression/methylation quantitative trait loci (eQTL/mQTL) were identified and their enrichment in GWAS signals for the above disorders were analyzed. Results: PFC cis-eQTLs (923 from cases+controls, 27 from cases and 98 from controls) and cis-mQTLs (9,932 from cases+controls, 264 from cases and 695 from controls) were enriched in GWAS-identified genetic variants for the above disorders. Cis-eQTLs from AUD cases were mapped to morphine addiction-related genes. Conclusion: PFC cis-eQTLs/ cis-mQTLs influence gene expression/DNA methylation patterns, thus increasing the disease risk.


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