Very low-depth whole-genome sequencing in complex trait association studies
Author(s) -
Arthur Gilly,
Lorraine Southam,
Dániel Süveges,
Karoline Kuchenbaecker,
Rachel Moore,
Giorgio Melloni,
Konstantinos Hatzikotoulas,
AlikiEleni Farmaki,
Graham R. S. Ritchie,
Jeremy Schwartzentruber,
Petr Danecek,
Britt Kilian,
Martin Pollard,
Xiangyu Ge,
Emmanouil Tsafantakis,
George Dedoussis,
Eleftheria Zeggini
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty1032
Subject(s) - genome wide association study , concordance , genotyping , minor allele frequency , genetic association , biology , whole genome sequencing , computational biology , trait , exome , genotype , 1000 genomes project , deep sequencing , genetics , imputation (statistics) , exome sequencing , allele frequency , single nucleotide polymorphism , genome , missing data , computer science , statistics , gene , mathematics , mutation , programming language
Very low-depth sequencing has been proposed as a cost-effective approach to capture low-frequency and rare variation in complex trait association studies. However, a full characterization of the genotype quality and association power for very low-depth sequencing designs is still lacking.
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