Identifying rare variants inconsistent with identity‐by‐descent in population‐scale whole‐genome sequencing data-Reference-Cited by-同舟云学术

Identifying rare variants inconsistent with identity‐by‐descent in population‐scale whole‐genome sequencing data

Published:2022-10-11 Issue:11 Volume:13 Page:2429-2442
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Johnson Kelsey E.¹^ORCID,Adams Christopher J.²^ORCID,Voight Benjamin F.³⁴⁵^ORCID

Affiliation:

1. Cell and Molecular Biology Graduate Group, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA

2. Genomics and Computational Biology Graduate Group, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA

3. Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA

4. Department of Genetics, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA

5. Institute for Translational Medicine and Therapeutics, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

National Institute of General Medical Sciences

Perelman School of Medicine, University of Pennsylvania

Wellcome Trust

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13991

Reference35 articles.

1. An expanded sequence context model broadly explains variability in polymorphism levels across the human genome

2. Dating genomic variants and shared ancestry in population-scale sequencing data

3. Substantial Regional Variation in Substitution Rates in the Human Genome: Importance of GC Content, Gene Density, and Telomere-Specific Effects

4. Efficient inference of population size histories and locus-specific mutation rates from large-sample genomic variation data

5. Robust Demographic Inference from Genomic and SNP Data

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2. Regularized sequence-context mutational trees capture variation in mutation rates across the human genome;PLOS Genetics;2023-07-07

3. Latent mutations in the ancestries of alleles under selection;2023-06-14

4. Recurrent mutation in the ancestry of a rare variant;GENETICS;2023-03-27