Citations 2
Chromosome X-wide association study in multiple system atrophy identifies sex-differential risk loci
Ray, Anindita , Chia, Ruth , Rasheed, Memoona, Ece, Bayram, Jinhui, Ding, Walton, Ronald L., Diez-Fairen, Monica, Álvarez, Ignacio Morales, Fanciulli, Alessandra , Seppi, Mag Klaus, Duerr, Susanne, Leys, Fabian , Krismer, Florian , Sidoroff, Victoria , Pirker, Walter , Rascol, Olivier, Foubert-Samier, Alexandra, Meissner, Wassilios G, Tison, François , Barone, Paolo, Russillo, Maria Claudia, Marín-Lahoz, Juan, Kulisevsky, J, Torres, Soraya, Mir, Pablo, Periñán, María Teresa, Proukakis, C., Goh, Yee Yen, Parkkinen, Laura, Hu, Michele T, Saxon, Jennifer A. , Rollinson, Sara , Garland, Emily M. , Litvan, Irene, Alcalay, Roy N, Kwei, Kimberly , Lubbe, Steven, Mao, Qinwen, Flanagan, Margaret E, Castellani, Rudolph J, Ndayisaba, Alain , Calvo, Andrea, Canosa, Antonio, Bohannan, Ryan C., Norcliffe-Kaufmann, Lucy, Palma, Jose-Alberto, Dawson, Ted M, Albert, Marilyn S, Pletniková, Olga , Troncoso, Juan C, Lage, Carmen , Sánchez-Juan, Pascual, Serrano, Geidy E, Beach, Thomas G, Morris, Huw R, Clarimon, Jordi, Jaunmuktane, Zane, Révész, Tamás, Warner, Tom, Hardy, John A, Ryten, Mina, Ferrucci, Luigi, Topol, Eric, Torkamani, Ali, DeCasien, Alex R, Chiò, Adriano, Low, Philip, Wszolek, Zbigniew K, Dickson, Dennis W., Traynor, Bryan J, Gibbs, J Raphael, Dalgard, Clifton L, Ross, Owen A, Houlden, Henry, Scholz, Sonja W., Hardy, John , Dickson, Dennis W. , Ross, Owen A. , Houlden, Henry , Scholz, Sonja W. , Chia, Ruth , Proukakis, Christos , Dickson, Dennis W , Dalgard, Clifton L , Ross, Owen A , Houlden, Henry , Scholz, Sonja W , Hardy, John , Reynolds, Regina H. , Díez-Fairén, Mónica , Fanciulli, Alessandra , Stefanova, Nadia , Seppi, Klaus , Krismer, Florian, Zimprich, Alexander , Rascol, Olivier , Foubert‐Samier, Alexandra , Meissner, Wassilios G. , Tison, François , Traon, Anne Pavy‐Le , Pellecchia, Maria Teresa , Marín‐Lahoz, Juan , Kulisevsky, Jaime , Mir, Pablo , Chelban, Viorica , Wu, Lesley , Kobylecki, Christopher , Biaggioni, Italo , Litvan, Irene , Rubio, Ileana, Lubbe, Steven , Flanagan, Margaret E , Castellani, Rudolph J. , Khurana, Vikram , Mora, Gabriele , Floris, Gianluca , Moore, Anni K. , Norcliffe‐Kaufmann, Lucy , Palma, Jose-Alberto , Kaufmann, Horacio , Dawson, Ted M , Rosenthal, Liana S. , Pantelyat, Alexander , Troncoso, Juan C. , Infante, Jon , Serrano, Geidy E. , Beach, Thomas G. , Pástor, Pau , Albani, Diego , Clarimón, Jordi , Jaunmuktane, Zane , Frontzek, Karl , Warner, Thomas T. , Ferrucci, Luigi , Topol, Eric J. , Torkamani, Ali , DeCasien, Alex R. , Chiò, Adriano , Singer, Wolfgang , Cheshire, William P. , Wszołek, Zbigniew K. , Traynor, Bryan J. , Gibbs, J. Raphael
Brain | February 12, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available
Abstract The human X chromosome accounts for ∼5% of the genome. Despite its size, the role of X-chromosomal variants in human diseases is not well understood, mainly due to its distinct inheritance pattern and the frequent omission of sex chromosomes from genome-wide association studies. This study used whole-genome sequencing data from 888 multiple system atrophy (MSA) cases and 7128 controls to perform an X-chromosome-wide common variant association study. Our analyses revealed two sex-differential risk loci: one located at Xq28, associated with increased risk for MSA in females [index variant: rs4898389, odds ratio (OR) = 1.69, 95% confidence interval (CI) = 1.40–2.03, P-value = 2.43 × 10⁻⁸], and another at Xp22.2 within the TBL1X gene, identified in males (index variant: rs6638956, OR = 1.48, 95%CI = 1.26–1.73, P-value = 9.92 × 10⁻⁷). In the Xq28 locus, colocalization analyses pointed to FAM3A and PLXNA3 as genes of interest. These findings emphasize the vital role of sex-differential genetic factors in the pathogenesis of MSA.
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
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.