Over the last decade, more diverse populations have been included in genome-wide association studies (GWAS). If a genetic variant has a varying effect on a phenotype in different populations, GWAS applied to a dataset as a whole may not pinpoint such differences. It is especially important to be able to identify population-specific effects of genetic variants in studies that would eventually lead to development of diagnostic tests or drug discovery.

PopCluster: an algorithm to identify genetic variants with ethnicity-dependent effects

Puca, Annibale;
2019-01-01

Abstract

Over the last decade, more diverse populations have been included in genome-wide association studies (GWAS). If a genetic variant has a varying effect on a phenotype in different populations, GWAS applied to a dataset as a whole may not pinpoint such differences. It is especially important to be able to identify population-specific effects of genetic variants in studies that would eventually lead to development of diagnostic tests or drug discovery.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4721503
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 3
social impact