TY - JOUR
T1 - Whole genome sequencing of Caribbean Hispanic families with late-onset Alzheimer's disease
AU - The Alzheimer's Disease Sequencing Project
AU - Vardarajan, Badri N.
AU - Barral, Sandra
AU - Jaworski, James
AU - Beecham, Gary W.
AU - Blue, Elizabeth
AU - Tosto, Giuseppe
AU - Reyes-Dumeyer, Dolly
AU - Medrano, Martin
AU - Lantigua, Rafael
AU - Naj, Adam
AU - Thornton, Timothy
AU - DeStefano, Anita
AU - Martin, Eden
AU - Wang, Li San
AU - Brown, Lisa
AU - Bush, William
AU - van Duijn, Cornelia
AU - Goate, Allison
AU - Farrer, Lindsay
AU - Haines, Jonathan L.
AU - Boerwinkle, Eric
AU - Schellenberg, Gerard
AU - Wijsman, Ellen
AU - Pericak-Vance, Margaret A.
AU - Mayeux, Richard
AU - Mosley,
AU - Cantwell, Laura
AU - Childress, Micah
AU - Chou, Yi Fan
AU - Cweibel, Rebecca
AU - Gangadharan, Prabhakaran
AU - Kuzma, Amanda
AU - Lin, Han Jen
AU - Malamon, John
AU - Mlynarski, Elisabeth
AU - Naj, Adam
AU - Qu, Liming
AU - Schellenberg, Gerard
AU - Valladares, Otto
AU - Wang, Li San
AU - Wang, Weixin
AU - Zhang, Nancy
AU - Below,
AU - Boerwinkle, Eric
AU - Bressler, Jan
AU - Fornage, Myriam
AU - Jian, Xueqiu
AU - Liu, Xiaoming
AU - Bis,
AU - Cruchaga, Carlos
N1 - Publisher Copyright:
© 2018 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association.
PY - 2018/4/1
Y1 - 2018/4/1
N2 - Objective: To identify rare causal variants underlying known loci that segregate with late-onset Alzheimer's disease (LOAD) in multiplex families. Methods: We analyzed whole genome sequences (WGS) from 351 members of 67 Caribbean Hispanic (CH) families from Dominican Republic and New York multiply affected by LOAD. Members of 67 CH and additional 47 Caucasian families underwent WGS as a part of the Alzheimer's Disease Sequencing Project (ADSP). All members of 67 CH families, an additional 48 CH families and an independent CH case-control cohort were subsequently genotyped for validation. Patients met criteria for LOAD, and controls were determined to be dementia free. We investigated rare variants segregating within families and gene-based associations with disease within LOAD GWAS loci. Results: A variant in AKAP9, p.R434W, segregated significantly with LOAD in two large families (OR = 5.77, 95% CI: 1.07–30.9, P = 0.041). In addition, missense mutations in MYRF and ASRGL1 under previously reported linkage peaks at 7q14.3 and 11q12.3 segregated completely in one family and in follow-up genotyping both were nominally significant (P < 0.05). We also identified rare variants in a number of genes associated with LOAD in prior genome wide association studies, including CR1 (P = 0.049), BIN1 (P = 0.0098) and SLC24A4 (P = 0.040). Conclusions and Relevance: Rare variants in multiple genes influence the risk of LOAD disease in multiplex families. These results suggest that rare variants may underlie loci identified in genome wide association studies.
AB - Objective: To identify rare causal variants underlying known loci that segregate with late-onset Alzheimer's disease (LOAD) in multiplex families. Methods: We analyzed whole genome sequences (WGS) from 351 members of 67 Caribbean Hispanic (CH) families from Dominican Republic and New York multiply affected by LOAD. Members of 67 CH and additional 47 Caucasian families underwent WGS as a part of the Alzheimer's Disease Sequencing Project (ADSP). All members of 67 CH families, an additional 48 CH families and an independent CH case-control cohort were subsequently genotyped for validation. Patients met criteria for LOAD, and controls were determined to be dementia free. We investigated rare variants segregating within families and gene-based associations with disease within LOAD GWAS loci. Results: A variant in AKAP9, p.R434W, segregated significantly with LOAD in two large families (OR = 5.77, 95% CI: 1.07–30.9, P = 0.041). In addition, missense mutations in MYRF and ASRGL1 under previously reported linkage peaks at 7q14.3 and 11q12.3 segregated completely in one family and in follow-up genotyping both were nominally significant (P < 0.05). We also identified rare variants in a number of genes associated with LOAD in prior genome wide association studies, including CR1 (P = 0.049), BIN1 (P = 0.0098) and SLC24A4 (P = 0.040). Conclusions and Relevance: Rare variants in multiple genes influence the risk of LOAD disease in multiplex families. These results suggest that rare variants may underlie loci identified in genome wide association studies.
UR - http://www.scopus.com/inward/record.url?scp=85043571060&partnerID=8YFLogxK
U2 - 10.1002/acn3.537
DO - 10.1002/acn3.537
M3 - Article
C2 - 29688227
AN - SCOPUS:85043571060
SN - 2328-9503
VL - 5
SP - 406
EP - 417
JO - Annals of Clinical and Translational Neurology
JF - Annals of Clinical and Translational Neurology
IS - 4
ER -