@article {9508,
	title = {Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer{\textquoteright}s Diseases Sequencing Project Subjects},
	journal = {medRxiv},
	year = {2023},
	month = {Sep},
	abstract = {. We also identified 16 SVs associated with AD and 13 SVs associated with AD-related pathological/cognitive endophenotypes. Our findings demonstrate the broad impact of SVs on AD genetics.\ Alzheimer{\textquoteright}s disease, Structural variation, Copy number variation.},
	author = {Wang, H. and Dombroski, B. A. and Cheng, P. L. and Tucci, A. and Si, Y. Q. and Farrell, J. J. and Tzeng, J. Y. and Leung, Y. Y. and Malamon, J. S. and Wang, L. S. and Vardarajan, B. N. and Farrer, L. A. and Schellenberg, G. D. and Lee, W. P.}
}
@article {9542,
	title = {Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer{\textquoteright}s Diseases Sequencing Project Subjects},
	journal = {Res Sq},
	year = {2023},
	month = {Oct},
	abstract = {. We also identified 16 SVs associated with AD and 13 SVs linked to AD-related pathological/cognitive endophenotypes. This study highlights the pivotal role of SVs in shaping our understanding of AD genetics.},
	author = {Lee, W. P. and Wang, H. and Dombroski, B. and Cheng, P. L. and Tucci, A. and Si, Y. Q. and Farrell, J. and Tzeng, J. Y. and Leung, Y. Y. and Malamon, J. and Wang, L. S. and Vardarajan, B. and Farrer, L. and Schellenberg, G.}
}
@article {9859,
	title = {Alzheimer{\textquoteright}s Disease Sequencing Project Release 4 Whole Genome Sequencing Dataset},
	journal = {medRxiv},
	year = {2024},
	month = {Dec},
	abstract = {The Alzheimer{\textquoteright}s Disease Sequencing Project (ADSP) is a national initiative to understand the genetic architecture of Alzheimer{\textquoteright}s Disease and Related Dementias (AD/ADRD) by sequencing whole genomes of affected participants and age-matched cognitive controls from diverse populations. The Genome Center for Alzheimer{\textquoteright}s Disease (GCAD) processed whole-genome sequencing data from 36,361 ADSP participants, including 35,014 genetically unique participants of which 45\% are from non-European ancestry, across 17 cohorts in 14 countries in this fourth release (R4). This sequencing effort identified 387 million bi-allelic variants, 42 million short insertions/deletions, and 2.2 million structural variants. Annotations and quality control data are available for all variants and samples. Additionally, detailed phenotypes from 15,927 participants across 10 domains are also provided. A linkage disequilibrium panel was created using unrelated AD cases and controls. Researchers can access and analyze the genetic data via NIAGADS Data Sharing Service, the VariXam tool, or NIAGADS GenomicsDB.},
	author = {Leung, Y. Y. and Lee, W. P. and Kuzma, A. B. and Nicaretta, H. and Valladares, O. and Gangadharan, P. and Qu, L. and Zhao, Y. and Ren, Y. and Cheng, P. L. and Kuksa, P. P. and Wang, H. and White, H. and Katanic, Z. and Bass, L. and Saravanan, N. and Greenfest-Allen, E. and Kirsch, M. and Cantwell, L. and Iqbal, T. and Wheeler, N. R. and Farrell, J. J. and Zhu, C. and Turner, S. L. and Gunasekaran, T. I. and Mena, P. R. and Jin, J. and Carter, L. and Zhang, X. and Vardarajan, B. N. and Toga, A. and Cuccaro, M. and Hohman, T. J. and Bush, W. S. and Naj, A. C. and Martin, E. and Dalgard, C. and Kunkle, B. W. and Farrer, L. A. and Mayeux, R. P. and Haines, J. L. and Pericak-Vance, M. A. and Schellenberg, G. D. and Wang, L. S.}
}
