Mutation A713T in the amyloid precursor protein (APP) has been linked to cases of Alzheimer's disease (AD), cerebral amyloid angiopathy (CAA) and cerebrovascular disease. Despite its rarity, it has been observed in several families from the same geographical area, in the Calabria region in Southern Italy. Genotyping of 720,000 genome-wide SNPs with the HumanOmniExpress BeadChip was performed for six patients that were representative of apparently unrelated Calabrian families, as well as a Belgian subject of Italian descent (all with the same A713T mutation and disease). Their genomic structure and genetic relationships were analyzed. Demographic reconstruction and coalescent theory were applied to estimate the time of the most recent common ancestor (tMRCA) among patients. Results show that all A713T carriers fell into the genetic variability of Southern Italy and were not more closely related to each other than to any other healthy Calabrian individual. However, five out of seven patients shared a 1.7 Mbp-long DNA segment centered on the A713T mutation, making it possible to estimate a tMRCA for its common origin in the Calabrian region dating back over 1000 years. The analysis of affected individuals with methodologies based on human population genomics thus provides informative insights in support of clinical observations and biomedical research.

Amyloid Precursor Protein A713T Mutation in Calabrian Patients with Alzheimer's Disease: A Population Genomics Approach to Estimate Inheritance from a Common Ancestor / Abondio, Paolo; Sarno, Stefania; Giuliani, Cristina; Laganà, Valentina; Maletta, Raffaele; Bernardi, Livia; Bruno, Francesco; Colao, Rosanna; Puccio, Gianfranco; Frangipane, Francesca; Borroni, Barbara; Van Broeckhoven, Christine; Luiselli, Donata; Bruni, Amalia. - In: BIOMEDICINES. - ISSN 2227-9059. - ELETTRONICO. - 10:1(2022), pp. 20.1-20.10. [10.3390/biomedicines10010020]

Amyloid Precursor Protein A713T Mutation in Calabrian Patients with Alzheimer's Disease: A Population Genomics Approach to Estimate Inheritance from a Common Ancestor

Abondio, Paolo
;
Sarno, Stefania
Co-primo
;
Giuliani, Cristina;Luiselli, Donata;
2022

Abstract

Mutation A713T in the amyloid precursor protein (APP) has been linked to cases of Alzheimer's disease (AD), cerebral amyloid angiopathy (CAA) and cerebrovascular disease. Despite its rarity, it has been observed in several families from the same geographical area, in the Calabria region in Southern Italy. Genotyping of 720,000 genome-wide SNPs with the HumanOmniExpress BeadChip was performed for six patients that were representative of apparently unrelated Calabrian families, as well as a Belgian subject of Italian descent (all with the same A713T mutation and disease). Their genomic structure and genetic relationships were analyzed. Demographic reconstruction and coalescent theory were applied to estimate the time of the most recent common ancestor (tMRCA) among patients. Results show that all A713T carriers fell into the genetic variability of Southern Italy and were not more closely related to each other than to any other healthy Calabrian individual. However, five out of seven patients shared a 1.7 Mbp-long DNA segment centered on the A713T mutation, making it possible to estimate a tMRCA for its common origin in the Calabrian region dating back over 1000 years. The analysis of affected individuals with methodologies based on human population genomics thus provides informative insights in support of clinical observations and biomedical research.
2022
Amyloid Precursor Protein A713T Mutation in Calabrian Patients with Alzheimer's Disease: A Population Genomics Approach to Estimate Inheritance from a Common Ancestor / Abondio, Paolo; Sarno, Stefania; Giuliani, Cristina; Laganà, Valentina; Maletta, Raffaele; Bernardi, Livia; Bruno, Francesco; Colao, Rosanna; Puccio, Gianfranco; Frangipane, Francesca; Borroni, Barbara; Van Broeckhoven, Christine; Luiselli, Donata; Bruni, Amalia. - In: BIOMEDICINES. - ISSN 2227-9059. - ELETTRONICO. - 10:1(2022), pp. 20.1-20.10. [10.3390/biomedicines10010020]
Abondio, Paolo; Sarno, Stefania; Giuliani, Cristina; Laganà, Valentina; Maletta, Raffaele; Bernardi, Livia; Bruno, Francesco; Colao, Rosanna; Puccio, Gianfranco; Frangipane, Francesca; Borroni, Barbara; Van Broeckhoven, Christine; Luiselli, Donata; Bruni, Amalia
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/897438
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