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Zhao, Xuefang

https://orcid.org/0000-0003-4036-9577

Mayo Clinic

Broad Institute

Citations 3

Structural variants in Lewy body dementia and frontotemporal dementia spectrum
Ding, Jinhui , Rasheed, Memoona, Walton, Ronald L., Brand, Harrison , Zhao, Xuefang , Dewan, Ramita , Solaiman, Sultana , Dawson, Ted M. , Albert, Marilyn S. , Pletnikova, Olga, Troncoso, Juan C. , Masellis, Mario, Keith, Julia , Resnick, Susan M. , Ryten, Mina , Hardy, John , Mazzini, Letizia , Moglia, Cristina, Beach, Thomas G. , Graff‐Radford, Neill R. , Jager, Philip L. De , Hardy, John , Kaivola, Karri , Chia, Ruth , Fujita, Masashi , Menon, Vilas , Collins, Ryan L. , Billingsley, Kimberley J. , Talkowski, Michael E. , Ray, Anindita , Jerez, Pilar Álvarez , Malik, Laksh , Rosenthal, Liana S. , Pletniková, Olga , Black, Sandra E. , Ferrucci, Luigi , Tanaka, Toshiko , Topol, Eric J. , Torkamani, Ali , Tienari, Pentti J. , Foroud, Tatiana , Ghetti, Bernardino , Landers, John E. , Morris, Huw R. , D’Alfonso, Sandra , Moglia, Cristina , Calvo, Andrea , Serrano, Geidy E. , Ferman, Tanis J. , Boeve, Bradley F. , Wszołek, Zbigniew K. , Dickson, Dennis W. , Chiò, Adriano , Bennett, David A. , Ross, Owen A. , Dalgard, Clifton L. , Gibbs, J. Raphael , Traynor, Bryan J. , Scholz, Sonja W.

Alzheimer's & Dementia | December 25, 2023 | Volume: 19 | Issue: S12 | Pages: No page available

10.1002/alz.078497 Get It

AbstractBackgroundStructural variants range from simple loss or gain of genetic material to complex events that restructure entire chromosomes. This heterogeneity coupled with variant size greater than sequencing read‐length makes structural variant mapping from short‐read sequencing data difficult and error‐prone. Consequently, the role of structural variants is poorly explored in many phenotypes, including dementia.MethodWe used the GATK‐SV pipeline that combines four external structural variant mapping algorithms with machine‐learning to build high‐quality consensus structural variant calls. We applied GATK‐SV to short‐read whole‐genome sequencing data of 2,601 frontotemporal dementia‐amyotrophic lateral sclerosis spectrum (FTD/ALS) patients, 2,612 Lewy body dementia (LBD) patients, and 4,132 neurologically unaffected participants.ResultAfter stringent quality‐control, we performed genome‐wide association studies on 2,307 ALS/FTD patients versus 3,677 controls with 4,699 common structural variants and 2,355 LBD patients versus 3,700 controls with 4,889 common structural variants. In the FTD/ALS cohort, we identified well‐known risk variants at the C9orf72 (p‐value = 4.99×10‐18, OR = 14.47, 95% CI = 7.90–26.49) and MAPT loci (p‐value = 3.48×10‐6, OR = 0.77, 95% CI = 0.68–0.86) corroborating the ability of our pipeline to identify disease‐associated structural variants. Moreover, we discovered, replicated, and validated TPCN1 as a novel risk locus for LBD (p‐value = 9.18×10‐6, OR = 1.43, 95% CI = 1.22–1.67). Further, we identified rare exonic variants with known pathogenic or likely pathogenic effects, such as an SNCA gene duplication in LBD and a deletion of exons 1 and 2 in CHCHD10 in FTD/ALS. We additionally observed structural variants in regulatory regions, e.g. a deletion of a key PSEN2 enhancer, which resulted in an approximate 0.70 fold‐change in PSEN2 expression in LBD. Finally, we built an interactive web app where structural variants can be visualized and explored (https://ndru-ndrs-lng-nih.shinyapps.io/non_ad_dementias_sv_app/).ConclusionCommon and rare structural variants play a role in LBD and FTD/ALS. Our structural variant resource is publicly available and can be used to further explore the role of structural variants in LBD and FTD/ALS.
Analysis of somatic mutations in 131 human brains reveals aging-associated hypermutability
Bae, Taejeong , Fasching, Liana , Wang, Yifan , Shin, Joo Heon , Šuvakov, Milovan , Jang, Yeongjun , Norton, Scott , Dias, Caroline , Mariani, Jessica , Jourdon, Alexandre , Wu, Feinan , Panda, Arijit , Pattni, Reenal , Chahine, Yasmine, Yeh, Rebecca C., Roberts, Rosalinda C. , Hüttner, Anita , Straub, Richard E. , Walsh, Christopher A. , Network§, Brain Somatic Mosaicism, Urban, Alexander E. , Weinberger, Daniel R. , Vaccarino, Flora M. , Abyzov, Alexej , Šestan, Nenad , Moran, John V. , Gleeson, Joseph G. , Mathern, Gary W. , Courchesne, Eric, Chess, Andrew , Bizzotto, Sara , D’Gama, Alissa M. , Hill, Robert , Kim, Sonia , Miller, Michael , Borges-Monroy, Rebeca , Bohrson, Craig L. , Galor, Alon , Kwon, Min‐Seok , Luquette, Joe, Sherman, Maxwell A. , Rosenbluh, Chaggai , Cho, Sean, Thorpe, Jeremy , McConnell, Michael J. , Narurkar, Rujuta, Paquola, Apuã C.M. , Shin, Jooheon, Molitor, Cindy, Peters, Mette A. , Linker, Sara B. , Reed, Patrick , Wang, Meiyan , Zhou, Bo , Amero, Aitor Serres, Lobón, Irene , Moruno, Manuel Solis, Pérez, Raquel García, Povolotskaya, Inna , Soriano, Eduardo , Antaki, Danny , Averbuj, Dan, Ball, Laurel, Yang, Xiaoxu , Chung, Changuk , Emery, Sarah B., Flasch, Diane A. , Sun, Chen , Zhao, Xuefang , Zhou, Weichen , Frisbie, Trenton J., Cherskov, Adriana , Pochareddy, Sirisha , Kleinman, Joel E , Hyde, Thomas M , Straub, Richard E , Walsh, Christopher A , Urban, Alexander E , Leckman, James F , Weinberger, Daniel R , Vaccarino, Flora M , Abyzov, Alexej , Shin, Joo Heon , Zhou, Bo , Šuvakov, Milovan , Bae, Taejeong , Wang, Yifan , Jang, Yeongjun , Network§, Brain Somatic Mosaicism, Leckman, James F. , Park, Peter J. , Gage, Fred H , Gleeson, Joseph G. , Courchesne, Eric, Roy, Subhojit , Akbarian, Schahram , Coulter, Michael E. , Ganz, Javier , Hill, Robert, Huang, August Yue , Khoshkhoo, Sattar , Lee, Alice , Lodato, Michael A. , Maury, Eduardo A. , Rodin, Rachel E. , Zhou, Zinan , Chu, Chong , Cortés‐Ciriano, Isidro , Dou, Yanmei , Gulhan, D. , Viswanadham, Vinay , Jones, Attila , Langmead, Ben , Erwin, Jennifer A. , Jaffe, Andrew E. , Zhu, Xiaowei , Juan, David , Marquès‐Bonet, Tomàs , Breuss, Martin W. , Kidd, Jeffrey M. , Kopera, Huira C. , Kwan, Kenneth Y , Mills, Ryan E. , Moldovan, John B. , Scuderi, Soraya

Science | July 28, 2022 | Volume: 377 | Issue: 6605 | Pages: 511-517

10.1126/science.abm6222 Get It

We analyzed 131 human brains (44 neurotypical, 19 with Tourette syndrome, 9 with schizophrenia, and 59 with autism) for somatic mutations after whole genome sequencing to a depth of more than 200×. Typically, brains had 20 to 60 detectable single-nucleotide mutations, but ~6% of brains harbored hundreds of somatic mutations. Hypermutability was associated with age and damaging mutations in genes implicated in cancers and, in some brains, reflected in vivo clonal expansions. Somatic duplications, likely arising during development, were found in ~5% of normal and diseased brains, reflecting background mutagenesis. Brains with autism were associated with mutations creating putative transcription factor binding motifs in enhancer-like regions in the developing brain. The top-ranked affected motifs corresponded to MEIS (myeloid ectopic viral integration site) transcription factors, suggesting a potential link between their involvement in gene regulation and autism.
Intersection of diverse neuronal genomes and neuropsychiatric disease: The Brain Somatic Mosaicism Network
McConnell, Michael J. , Moran, John V. , Abyzov, Alexej , Akbarian, Schahram , Bae, Taejeong , Cortés‐Ciriano, Isidro , Erwin, Jennifer A. , Fasching, Liana , Flasch, Diane A. , Freed, Donald , Ganz, Javier , Jaffe, Andrew E. , Kwon, Min‐Seok , Lodato, Michael A. , Mills, Ryan E. , Paquola, Apuã C.M. , Rodin, Rachel E. , Rosenbluh, Chaggai , Šestan, Nenad , Sherman, Maxwell A. , Shin, Joo Heon , Song, Saera , Straub, Richard E. , Thorpe, Jeremy , Weinberger, Daniel R. , Urban, Alexander E. , Zhou, Bo , Lehner, Thomas , Senthil, Geetha , Chess, Andrew , Courchesne, Eric , Gleeson, Joseph G. , Kidd, Jeffrey M. , Park, Peter J., Pevsner, Jonathan , Vaccarino, Flora M. , Network, Brain Somatic Mosaicism, Bekiranov, Stefan , Bohrson, Craig L. , Burbulis, Ian , Chronister, William D., Coppola, Gianfilippo , Daily, Kenneth , D’Gama, Alissa M. , Emery, Sarah B., Frisbie, Trenton J., Gao, Tianliuyun , Gulyás-Kovács, Attila, Haakenson, Mark F., Keil, Jason M. , Lam, Mandy M. , Mathern, Gary W. , Omberg, Larsson , Peters, Mette A. , Pochareddy, Sirisha , Pramparo, Tiziano , Sanavia, Tiziana , Wang, Meiyan , Wierman, Margaret E. , Wolpert, Matthew J., Woodworth, Mollie B. , Zhao, Xuefang , Zhou, Weichen , Kwan, Kenneth Y , Lodato, Michael A , Mills, Ryan E , Paquola, Apua C M , Rodin, Rachel E , Rosenbluh, Chaggai , Sestan, Nenad , Shin, Joo Heon , Song, Saera , Straub, Richard E , Urban, Alexander E , Zhou, Bo , Gage, Fred H , Lehner, Thomas , Senthil, Geetha , Chess, Andrew , Courchesne, Eric , Kidd, Jeffrey M , Pevsner, Jonathan , Vaccarino, Flora M , McConnell, Michael J. , Walsh, Christopher A. , Gleeson, Joseph G. , Network, Brain Somatic Mosaicism, Barton, Alison R. , Kopera, Huira C. , Lee, Eunjung A , Marquès‐Bonet, Tomàs , Moldovan, John B. , Oetjens, Matthew T. , Ratan, Aakrosh , Shi, Lei , Škarica, Mario , Wang, Jia , Wang, Yifan , Abyzov, Alexej , Bae, Taejeong , Akbarian, Schahram

Science | April 27, 2017 | Volume: 356 | Issue: 6336 | Pages: No page available

10.1126/science.aal1641 Get It

Single-cell diversity in the brain The cells that make up an organism may all start from one genome, but somatic mutations mean that somewhere along the line of development, an organism's individual cellular genomes diverge. McConnell et al. review the implications and causes of single-cell genomic diversity for brain function. Somatic mutations caused by mobile genetic elements or errors in DNA repair may underlie certain neuropsychiatric disorders. Science , this issue p. eaal1641