Back to Search Start Over

Phased whole-genome genetic risk in a family quartet using a major allele reference sequence.

Authors :
Frederick E Dewey
Rong Chen
Sergio P Cordero
Kelly E Ormond
Colleen Caleshu
Konrad J Karczewski
Michelle Whirl-Carrillo
Matthew T Wheeler
Joel T Dudley
Jake K Byrnes
Omar E Cornejo
Joshua W Knowles
Mark Woon
Katrin Sangkuhl
Li Gong
Caroline F Thorn
Joan M Hebert
Emidio Capriotti
Sean P David
Aleksandra Pavlovic
Anne West
Joseph V Thakuria
Madeleine P Ball
Alexander W Zaranek
Heidi L Rehm
George M Church
John S West
Carlos D Bustamante
Michael Snyder
Russ B Altman
Teri E Klein
Atul J Butte
Euan A Ashley
Source :
PLoS Genetics, Vol 7, Iss 9, p e1002280 (2011)
Publication Year :
2011
Publisher :
Public Library of Science (PLoS), 2011.

Abstract

Whole-genome sequencing harbors unprecedented potential for characterization of individual and family genetic variation. Here, we develop a novel synthetic human reference sequence that is ethnically concordant and use it for the analysis of genomes from a nuclear family with history of familial thrombophilia. We demonstrate that the use of the major allele reference sequence results in improved genotype accuracy for disease-associated variant loci. We infer recombination sites to the lowest median resolution demonstrated to date (< 1,000 base pairs). We use family inheritance state analysis to control sequencing error and inform family-wide haplotype phasing, allowing quantification of genome-wide compound heterozygosity. We develop a sequence-based methodology for Human Leukocyte Antigen typing that contributes to disease risk prediction. Finally, we advance methods for analysis of disease and pharmacogenomic risk across the coding and non-coding genome that incorporate phased variant data. We show these methods are capable of identifying multigenic risk for inherited thrombophilia and informing the appropriate pharmacological therapy. These ethnicity-specific, family-based approaches to interpretation of genetic variation are emblematic of the next generation of genetic risk assessment using whole-genome sequencing.

Subjects

Subjects :
Genetics
QH426-470

Details

Language :
English
ISSN :
15537390 and 15537404
Volume :
7
Issue :
9
Database :
Directory of Open Access Journals
Journal :
PLoS Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.9571fe0f3780487795dd050f430aa65b
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pgen.1002280