Browsing by Author "Zhao, Xuefang"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Genome-wide structural variant analysis identifies risk loci for non-Alzheimer's dementias
    (Elsevier, 2023-05-04) Kaivola, Karri; Chia, Ruth; Ding, Jinhui; Rasheed, Memoona; Fujita, Masashi; Menon, Vilas; Walton, Ronald L.; Collins, Ryan L.; Billingsley, Kimberley; Brand, Harrison; Talkowski, Michael; Zhao, Xuefang; Dewan, Ramita; Stark, Ali; Ray, Anindita; Solaiman, Sultana; Alvarez Jerez, Pilar; Malik, Laksh; Dawson, Ted M.; Rosenthal, Liana S.; Albert, Marilyn S.; Pletnikova, Olga; Troncoso, Juan C.; Masellis, Mario; Keith, Julia; Black, Sandra E.; Ferrucci, Luigi; Resnick, Susan M.; Tanaka, Toshiko; American Genome Center; International LBD Genomics Consortium; International ALS/FTD Consortium; PROSPECT Consortium; Topol, Eric; Torkamani, Ali; Tienari, Pentti; Foroud, Tatiana M.; Ghetti, Bernardino; Landers, John E.; Ryten, Mina; Morris, Huw R.; Hardy, John A.; Mazzini, Letizia; D'Alfonso, Sandra; Moglia, Cristina; Calvo, Andrea; Serrano, Geidy E.; Beach, Thomas G.; Ferman, Tanis; Graff-Radford, Neill R.; Boeve, Bradley F.; Wszolek, Zbigniew K.; Dickson, Dennis W.; Chiò, Adriano; Bennett, David A.; De Jager, Philip L.; Ross, Owen A.; Dalgard, Clifton L.; Gibbs, J. Raphael; Traynor, Bryan J.; Scholz, Sonja W.; Medical and Molecular Genetics, School of Medicine
    We characterized the role of structural variants, a largely unexplored type of genetic variation, in two non-Alzheimer's dementias, namely Lewy body dementia (LBD) and frontotemporal dementia (FTD)/amyotrophic lateral sclerosis (ALS). To do this, we applied an advanced structural variant calling pipeline (GATK-SV) to short-read whole-genome sequence data from 5,213 European-ancestry cases and 4,132 controls. We discovered, replicated, and validated a deletion in TPCN1 as a novel risk locus for LBD and detected the known structural variants at the C9orf72 and MAPT loci as associated with FTD/ALS. We also identified rare pathogenic structural variants in both LBD and FTD/ALS. Finally, we assembled a catalog of structural variants that can be mined for new insights into the pathogenesis of these understudied forms of dementia.
  • Thumbnail Image
    Item
    Systematic evaluation of genome sequencing for the diagnostic assessment of autism spectrum disorder and fetal structural anomalies
    (Elsevier, 2023) Lowther, Chelsea; Valkanas, Elise; Giordano, Jessica L.; Wang, Harold Z.; Currall, Benjamin B.; O'Keefe, Kathryn; Pierce-Hoffman, Emma; Kurtas, Nehir E.; Whelan, Christopher W.; Hao, Stephanie P.; Weisburd, Ben; Jalili, Vahid; Fu, Jack; Wong, Isaac; Collins, Ryan L.; Zhao, Xuefang; Austin-Tse, Christina A.; Evangelista, Emily; Lemire, Gabrielle; Aggarwal, Vimla S.; Lucente, Diane; Gauthier, Laura D.; Tolonen, Charlotte; Sahakian, Nareh; Stevens, Christine; An, Joon-Yong; Dong, Shan; Norton, Mary E.; MacKenzie, Tippi C.; Devlin, Bernie; Gilmore, Kelly; Powell, Bradford C.; Brandt, Alicia; Vetrini, Francesco; DiVito, Michelle; Sanders, Stephan J.; MacArthur, Daniel G.; Hodge, Jennelle C.; O'Donnell-Luria, Anne; Rehm, Heidi L.; Vora, Neeta L.; Levy, Brynn; Brand, Harrison; Wapner, Ronald J.; Talkowski, Michael E.; Medical and Molecular Genetics, School of Medicine
    Short-read genome sequencing (GS) holds the promise of becoming the primary diagnostic approach for the assessment of autism spectrum disorder (ASD) and fetal structural anomalies (FSAs). However, few studies have comprehensively evaluated its performance against current standard-of-care diagnostic tests: karyotype, chromosomal microarray (CMA), and exome sequencing (ES). To assess the clinical utility of GS, we compared its diagnostic yield against these three tests in 1,612 quartet families including an individual with ASD and in 295 prenatal families. Our GS analytic framework identified a diagnostic variant in 7.8% of ASD probands, almost 2-fold more than CMA (4.3%) and 3-fold more than ES (2.7%). However, when we systematically captured copy-number variants (CNVs) from the exome data, the diagnostic yield of ES (7.4%) was brought much closer to, but did not surpass, GS. Similarly, we estimated that GS could achieve an overall diagnostic yield of 46.1% in unselected FSAs, representing a 17.2% increased yield over karyotype, 14.1% over CMA, and 4.1% over ES with CNV calling or 36.1% increase without CNV discovery. Overall, GS provided an added diagnostic yield of 0.4% and 0.8% beyond the combination of all three standard-of-care tests in ASD and FSAs, respectively. This corresponded to nine GS unique diagnostic variants, including sequence variants in exons not captured by ES, structural variants (SVs) inaccessible to existing standard-of-care tests, and SVs where the resolution of GS changed variant classification. Overall, this large-scale evaluation demonstrated that GS significantly outperforms each individual standard-of-care test while also outperforming the combination of all three tests, thus warranting consideration as the first-tier diagnostic approach for the assessment of ASD and FSAs.