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Data For: Identifying rare variants inconsistent with identity-by-descent in population-scale whole-genome sequencing data

Research datakeyboard_double_arrow_right Dataset 11 Oct 2022 English Publisher:ZenodoFunded by:NIH | Functional Interrogation ..., NIH | PREDOCTORAL TRAINING PROG..., WT | 10,000 UK genome sequence... +1 projects

Authors: Kelsey E Johnson; Christopher J Adams; Benjamin F Voight;

doi: 10.5281/zenodo.7842819 , 10.5281/zenodo.7842820

Data For: Identifying rare variants inconsistent with identity-by-descent in population-scale whole-genome sequencing data

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Abstract

Simulation output and Genome-wide scan for nIBD variants in UK10K data as reported in: Identifying rare variants inconsistent with identity-by-descent in population-scale whole-genome sequencing data Johnson KE, Adams CJ, Voight BF. Methods Ecol Evol 2022 Nov;13(11): 2429–2442. Code available at: https://github.com/kelsj/EVICORD

Related Organizations

University of Pennsylvania
United States

Keywords

Population Genetics, recurrent mutation, identical by state, EVICORD

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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Funded by

NIH| Functional Interrogation of T2D-associated genes in human stem cell-derived models and mice, NIH| PREDOCTORAL TRAINING PROGRAM IN GENETICS, WT| 10,000 UK genome sequences: accessing the role of rare genetic variants in health and disease., NIH| Algorithms to identify non-coding mutational burden and disease-relevant pathways