TY - JOUR
T1 - Absence of coding somatic single nucleotide variants within well-known candidate genes in late-onset sporadic Alzheimer's Disease based on the analysis of multi-omics data
AU - Min, Shishi
AU - Li, Zongchang
AU - Shieh, Annie
AU - Giase, Gina
AU - Bao, Riyue
AU - Zhang, Chunling
AU - Kuney, Liz
AU - Kopp, Richard
AU - Asif, Huma
AU - Alliey-Rodriguez, Ney
AU - Qin, Lixia
AU - Craig, David Wesley
AU - Faulkner, Geoffrey J.
AU - Gershon, Elliot S.
AU - Tang, Beisha
AU - Chen, Chao
AU - Liu, Chunyu
N1 - Publisher Copyright:
© 2021 Elsevier Inc.
PY - 2021/12
Y1 - 2021/12
N2 - Somatic mutations arise randomly or are induced by environmental factors, which may increase the risk of Alzheimer's disease (AD). Identifying somatic mutations in sporadic AD (SAD) may provide new insight of the disease. To evaluate the potential contribution of somatic single nucleotide variations (SNVs), particularly that of well-known AD-candidate genes, we investigated sequencing data sets from four platforms: whole-genome sequencing (WGS), deep whole-exome sequencing (WES) on paired brain and liver samples, RNA sequencing (RNA-seq), and single-cell whole-genome sequencing (scWGS) of brain samples from 16 AD patients and 16 non-AD individuals. We found that the average number, mean variant allele fractions (VAFs) and mutational signatures of somatic SNVs have similar distributions between AD brains and non-AD brains. We did not identify any somatic SNVs within coding regions of the APP, PSEN1, PSEN2, nor in APOE. This study shows that somatic SNVs within the coding region of AD-candidate genes are unlikely to be a common causal factor for SAD.
AB - Somatic mutations arise randomly or are induced by environmental factors, which may increase the risk of Alzheimer's disease (AD). Identifying somatic mutations in sporadic AD (SAD) may provide new insight of the disease. To evaluate the potential contribution of somatic single nucleotide variations (SNVs), particularly that of well-known AD-candidate genes, we investigated sequencing data sets from four platforms: whole-genome sequencing (WGS), deep whole-exome sequencing (WES) on paired brain and liver samples, RNA sequencing (RNA-seq), and single-cell whole-genome sequencing (scWGS) of brain samples from 16 AD patients and 16 non-AD individuals. We found that the average number, mean variant allele fractions (VAFs) and mutational signatures of somatic SNVs have similar distributions between AD brains and non-AD brains. We did not identify any somatic SNVs within coding regions of the APP, PSEN1, PSEN2, nor in APOE. This study shows that somatic SNVs within the coding region of AD-candidate genes are unlikely to be a common causal factor for SAD.
KW - Alzheimer's disease
KW - Candidate genes
KW - Multiple sequencing datasets
KW - Somatic SNVs
UR - http://www.scopus.com/inward/record.url?scp=85112575153&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85112575153&partnerID=8YFLogxK
U2 - 10.1016/j.neurobiolaging.2021.07.010
DO - 10.1016/j.neurobiolaging.2021.07.010
M3 - Article
C2 - 34392980
AN - SCOPUS:85112575153
SN - 0197-4580
VL - 108
SP - 207
EP - 209
JO - Neurobiology of Aging
JF - Neurobiology of Aging
ER -