2018
DOI: 10.1093/molbev/msy006
|View full text |Cite|
|
Sign up to set email alerts
|

Estimating Time to the Common Ancestor for a Beneficial Allele

Abstract: The haplotypes of a beneficial allele carry information about its history that can shed light on its age and the putative cause for its increase in frequency. Specifically, the signature of an allele’s age is contained in the pattern of variation that mutation and recombination impose on its haplotypic background. We provide a method to exploit this pattern and infer the time to the common ancestor of a positively selected allele following a rapid increase in frequency. We do so using a hidden Markov model whi… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

1
57
1

Year Published

2018
2018
2022
2022

Publication Types

Select...
5
4
1

Relationship

0
10

Authors

Journals

citations
Cited by 57 publications
(59 citation statements)
references
References 97 publications
(95 reference statements)
1
57
1
Order By: Relevance
“…However, these methods typically operate on a discretized timescale [13], utilize only a fraction of the information available in larger sample data, or employ approximations to overcome computational complexity [14,15,25]. Alternate approaches, in particular those that have been used to indicate allele age, are often strongly parameterized and make assumptions about demographic history, selection, or the shape of genealogical trees [26][27][28][29]. Our method is non-parametric and makes no assumptions about the demographic or selective processes that shaped the underlying genealogy.…”
Section: Introductionmentioning
confidence: 99%
“…However, these methods typically operate on a discretized timescale [13], utilize only a fraction of the information available in larger sample data, or employ approximations to overcome computational complexity [14,15,25]. Alternate approaches, in particular those that have been used to indicate allele age, are often strongly parameterized and make assumptions about demographic history, selection, or the shape of genealogical trees [26][27][28][29]. Our method is non-parametric and makes no assumptions about the demographic or selective processes that shaped the underlying genealogy.…”
Section: Introductionmentioning
confidence: 99%
“…The rate of exponential decrease of linkage disequilibrium can be used to date 944 admixture events [88], and sophisticated haplotype-based methods have been used to 945 characterize admixture and selection in ancestral human populations [89,90]. Positive 946 selection also increases LD [91][92][93], and methods were proposed to employ haplotype 947 structure to date the MRCA of a beneficial allele [94]. Haplotype-based methods are 948 usually powerful at detecting even soft and partial classic selective sweeps [45].…”
mentioning
confidence: 99%
“…Carneiro et al 2011) and tested an upper and lower estimate for mutation rate in European 307 rabbit (2.02 x 10 -9 and 2.35 x 10 -9 mutations/site/generation;Carneiro et al 2012). We also 308 explored the influence of using a divergent population (homozygous winter-white individuals 309 from MT; n=5 individuals) or a local population (homozygous winter-white individuals from OR 310 and WA; n=19 individuals) to represent the ancestral winter-white haplotype(Smith et al 2018). 311We assumed chr4:5480355 (in oryCun2 coordinates) as the site of the "selected allele", which 312 lies in the center of the association interval between two strong candidate insertion-deletion 313 mutations in the 5' cis-regulatory region of Agouti and is perfectly correlated with winter coat314 color (Jones et al 2018).…”
mentioning
confidence: 99%