bistro: An R package for vector bloodmeal identification by short tandem repeat overlap

Author:

Lapp Zena1,Abel Lucy2,Mangeni Judith3,Obala Andrew A.4,O'Meara Wendy P.15,Taylor Steve M.15,Markwalter Christine F.1ORCID

Affiliation:

1. Duke Global Health Institute, Duke University Durham North Carolina USA

2. Academic Model Providing Access to Healthcare (AMPATH) Eldoret Kenya

3. Department of Epidemiology and Medical Statistics, School of Public Health Moi University Eldoret Kenya

4. School of Medicine, College of Health Sciences Moi University Eldoret Kenya

5. Division of Infectious Diseases, School of Medicine Duke University Durham North Carolina USA

Abstract

Abstract Measuring vector–human contact in a natural setting can inform precise targeting of interventions to interrupt transmission of vector‐borne diseases. One approach is to directly match human DNA in vector bloodmeals to the individuals who were bitten using genotype panels of discriminative short tandem repeats (STRs). Existing methods for matching STR profiles in bloodmeals to the people bitten preclude the ability to match most incomplete profiles and multisource bloodmeals to bitten individuals. We developed bistro, an R package that implements three pre‐existing STR matching methods as well as the package's namesake, bistro, a new algorithm described here. bistro employs forensic analysis methods to calculate likelihood ratios and match human STR profiles in bloodmeals to people using a dynamic threshold. We evaluated the algorithm's accuracy and compared it to existing matching approaches using a publicly available panel of 188 single‐source and 100 multisource samples containing DNA from 50 known human sources. Then, we applied it to match 777 newly field‐collected mosquito bloodmeals to a database of 645 people. The R package implements four STR matching algorithms in user‐friendly functions with clear documentation. bistro correctly matched 99% (187/188) of profiles in single‐source samples, and 62% (224/359) of profiles from multisource samples, resulting in a sensitivity of 0.75 (vs. <0.51 for other algorithms). The specificity of bistro was 0.9998 (vs. 1 for other algorithms). Furthermore, bistro identified 79% (720/906) of all possible matches for field‐derived mosquitoes, yielding 1.4× more matches than existing algorithms. bistro identifies more correct bloodmeal–human matches than existing approaches, enabling more accurate and robust analyses of vector–human contact in natural settings. The bistro R package and corresponding documentation allow for straightforward uptake of this algorithm by others.

Funder

National Institute of Allergy and Infectious Diseases

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Reference26 articles.

1. Ahlmann‐Eltze C.(2020).ggupset: Combination matrix axis for ‘ggplot2’ to create ‘UpSet’ plots(0.3.0) [computer software].https://cran.rstudio.com/web/packages/ggupset/index.html

2. A large-scale dataset of single and mixed-source short tandem repeat profiles to inform human identification strategies: PROVEDIt

3. Bengtsson H.(2022).R.utils: Various programming utilities(2.12.2) [computer software].https://cran.r‐project.org/web/packages/R.utils/index.html

4. A comparative study of qualitative and quantitative models used to interpret complex STR DNA profiles

5. dnamatch2: An open source software to carry out large scale database searches of mixtures using qualitative and quantitative models

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3