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Typing of ARMS2 and CFH in Age-Related Macular Degeneration
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Cited by 39 publications
(13 citation statements)
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Smart CitationsHow this paper cites the one you are viewing
“……”
Section: Introduction
supporting
confidence: 71%
“……”
Section: Discussion
mentioning
confidence: 99%
“……”
Section: Discussion
mentioning
confidence: 99%
Smart CitationsHow this paper cites the one you are viewing
“……”
Section: Introduction
supporting
confidence: 71%
“……”
Section: Discussion
mentioning
confidence: 99%
“……”
Section: Discussion
mentioning
confidence: 99%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…ARMS2 is considered a major contributor to the genetic susceptibility of AMD among Italian and worldwide populations (6,(8)(9)(10)37). Intriguingly, the evaluation of epistatic effects among the SNPs associated in this study revealed that ARMS2 could represent a key epistatic modulator of a network of genes (Figure 1), which may contribute to AMD and neurodegenerative processes by synergistic effects.…”
Section: Discussion
mentioning
confidence: 61%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…The immediate application of AI represents a significant technological advancement in the statistical analysis of merged datasets. Our prior experience in biostatistics within the field of ophthalmic genomics indicates that similar outcomes could have been achieved more rapidly and with smaller cohorts of case–control samples [104,105,106]. This suggests that AI not only enhances efficiency but also reduces the need for extensive sample sizes.…”
Section: Discussion
mentioning
confidence: 99%
Smart CitationsHow this paper cites the one you are viewing
“……”
Section: Introduction
supporting
confidence: 71%
“……”
Section: Discussion
mentioning
confidence: 99%
“……”
Section: Discussion
mentioning
confidence: 99%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…ARMS2 is considered a major contributor to the genetic susceptibility of AMD among Italian and worldwide populations (6,(8)(9)(10)37). Intriguingly, the evaluation of epistatic effects among the SNPs associated in this study revealed that ARMS2 could represent a key epistatic modulator of a network of genes (Figure 1), which may contribute to AMD and neurodegenerative processes by synergistic effects.…”
Section: Discussion
mentioning
confidence: 61%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…The immediate application of AI represents a significant technological advancement in the statistical analysis of merged datasets. Our prior experience in biostatistics within the field of ophthalmic genomics indicates that similar outcomes could have been achieved more rapidly and with smaller cohorts of case–control samples [104,105,106]. This suggests that AI not only enhances efficiency but also reduces the need for extensive sample sizes.…”
Section: Discussion
mentioning
confidence: 99%
Smart CitationsHow this paper cites the one you are viewing
“……”
Section: Introduction
supporting
confidence: 71%
“……”
Section: Discussion
mentioning
confidence: 99%
“……”
Section: Discussion
mentioning
confidence: 99%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…ARMS2 is considered a major contributor to the genetic susceptibility of AMD among Italian and worldwide populations (6,(8)(9)(10)37). Intriguingly, the evaluation of epistatic effects among the SNPs associated in this study revealed that ARMS2 could represent a key epistatic modulator of a network of genes (Figure 1), which may contribute to AMD and neurodegenerative processes by synergistic effects.…”
Section: Discussion
mentioning
confidence: 61%
Abstract
Smart CitationsHow this paper cites the one you are viewing
“…The immediate application of AI represents a significant technological advancement in the statistical analysis of merged datasets. Our prior experience in biostatistics within the field of ophthalmic genomics indicates that similar outcomes could have been achieved more rapidly and with smaller cohorts of case–control samples [104,105,106]. This suggests that AI not only enhances efficiency but also reduces the need for extensive sample sizes.…”
Section: Discussion
mentioning
confidence: 99%