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T1  - Linkage disequilibrium clustering-based approach for association mapping with tightly linked genomewide data 
SN  -  /  
UR  - http://hdl.handle.net/10138/321979 
T3  -  
A1  - Li, Zitong; Kemppainen, Petri; Rastas, Pasi; Merilä, Juha 
A2  -  
PB  -  
Y1  - 2018 
LA  - eng 
AB  - Genomewide association studies (GWAS) aim to identify genetic markers strongly associated with quantitative traits by utilizing linkage disequilibrium (LD) between candidate genes and markers. However, because of LD between nearby genetic markers, the standard GWAS approaches typically detect a number of correlated SNPs covering long genomic regions, making corrections for multiple testing overly conservative. Additionally, the high dimensionality of modern GWAS data poses considerable challenge... 
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IS  -  
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OP  -  
KW  - four-way cross; GWAS; multilocus method; principal component regression; quantitative trait loci; QUANTITATIVE TRAIT LOCI; WIDE ASSOCIATION; POPULATION-STRUCTURE; LINEAR-MODELS; REGRESSION; SELECTION; RELATEDNESS; GENETICS; CROSSES; FORMAT; 1181 Ecology, evolutionary biology; 1172 Environmental sciences 
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ER  -