{"title":"Genome-wide versus transcriptome-wide association studies: Prospects and limitations","authors":"Jemal Mohammed Abdela","doi":"10.1016/j.egg.2024.100221","DOIUrl":null,"url":null,"abstract":"<div><p><span><span>Genome-wide Association Studies (GWAS) and Transcriptome-wide Association Studies (TWAS) are pivotal tools in genetics<span> research. GWAS, with its comprehensive genome coverage, reveals insights into complex trait variations among different populations. It finds applications beyond gene identification, including historical population studies and linkage disequilibrium<span> pattern assessments. However, GWAS faces challenges like multiple testing corrections and difficulties in pinpointing causal variants. Conversely, TWAS offers higher gene resolution and the potential for deeper insights into genetic mechanisms. Yet, TWAS prediction accuracy is contingent on gene </span></span></span>heritability, and its complexity lies in navigating </span>gene regulatory networks<span> and epigenetic factors. Understanding the strengths and limitations of both GWAS and TWAS is crucial for harnessing their full potential in genetic research endeavours.</span></p></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Genetics and Genomics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405985424000053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Genome-wide Association Studies (GWAS) and Transcriptome-wide Association Studies (TWAS) are pivotal tools in genetics research. GWAS, with its comprehensive genome coverage, reveals insights into complex trait variations among different populations. It finds applications beyond gene identification, including historical population studies and linkage disequilibrium pattern assessments. However, GWAS faces challenges like multiple testing corrections and difficulties in pinpointing causal variants. Conversely, TWAS offers higher gene resolution and the potential for deeper insights into genetic mechanisms. Yet, TWAS prediction accuracy is contingent on gene heritability, and its complexity lies in navigating gene regulatory networks and epigenetic factors. Understanding the strengths and limitations of both GWAS and TWAS is crucial for harnessing their full potential in genetic research endeavours.
期刊介绍：
Ecological Genetics and Genomics publishes ecological studies of broad interest that provide significant insight into ecological interactions or/ and species diversification. New data in these areas are published as research papers, or methods and resource reports that provide novel information on technologies or tools that will be of interest to a broad readership. Complete data sets are shared where appropriate. The journal also provides Reviews, and Perspectives articles, which present commentary on the latest advances published both here and elsewhere, placing such progress in its broader biological context. Topics include: -metagenomics -population genetics/genomics -evolutionary ecology -conservation and molecular adaptation -speciation genetics -environmental and marine genomics -ecological simulation -genomic divergence of organisms
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