@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 {9786,
	title = {NIAGADS: A Comprehensive National Data Repository for Alzheimer{\textquoteright}s Disease and Related Dementia Genetics and Genomics Research},
	journal = {medRxiv},
	year = {2024},
	month = {Oct},
	abstract = {NIAGADS is the National Institute on Aging (NIA) designated national data repository for human genetics research on Alzheimer{\textquoteright}s Disease and related dementia (ADRD). NIAGADS maintains a high-quality data collection for ADRD genetic/genomic research and supports genetics data production and analysis. NIAGADS hosts whole genome and exome sequence data from the Alzheimer{\textquoteright}s Disease Sequencing Project (ADSP) and other genotype/phenotype data, encompassing 209,000 samples. NIAGADS shares these data with hundreds of research groups around the world via the Data Sharing Service, a FISMA moderate compliant cloud-based platform that fully supports the NIH Genome Data Sharing Policy. NIAGADS Open Access consists of multiple knowledge bases with genome-wide association summary statistics and rich annotations on the biological significance of genetic variants and genes across the human genome. NIAGADS stands as a keystone in promoting collaborations to advance the understanding and treatment of Alzheimer{\textquoteright}s disease.},
	author = {Kuzma, A. and Valladares, O. and Greenfest-Allen, E. and Nicaretta, H. and Kirsch, M. and Ren, Y. and Katanic, Z. and White, H. and Wilk, A. and Bass, L. and Brettschneider, J. and Carter, L. and Cifello, J. and Chuang, W. H. and Clark, K. and Gangadharan, P. and Haut, J. and Ho, P. C. and Horng, W. and Iqbal, T. and Jin, Y. and Keskinen, P. and Rose, A. L. and Moon, M. K. and Manuel, J. and Qu, L. and Robbins, F. and Saravanan, N. and Sha, J. and Tate, S. and Zhao, Y. and Cantwell, L. and Gardner, J. and Chou, S. Y. and Tzeng, J. Y. and Bush, W. and Naj, A. and Kuksa, P. and Lee, W. P. and Leung, Y. Y. and Schellenberg, G. and Wang, L. S.}
}
