ArticleGenome biology2018
FineMAV: prioritizing candidate genetic variants driving local adaptations in human populations.
Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 23 citations in OpenAlex.
- Interplay of human ABCC11 transporter gene variants with axillary skin microbiome functional genomics.Scientific reports · 2024Article
- Archaic introgression contributed to the pre-agriculture adaptation of vitamin B1 metabolism in East Asia.iScience · 2022Article
- Prioritising positively selected variants in whole-genome sequencing data using FineMAV.BMC bioinformatics · 2021Article
- A Positively Selected MAGEE2 LoF Allele Is Associated with Sexual Dimorphism in Human Brain Size and Shows Similar Phenotypes in Magee2 Null Mice.Molecular biology and evolution · 2021Article
- De Novo Mutation and Rapid Protein (Co-)evolution during Meiotic Adaptation in Arabidopsis arenosa.Molecular biology and evolution · 2021Article
- Identifying adaptive alleles in the human genome: from selection mapping to functional validation.Human genetics · 2021Review
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Corrections and comments
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Authors and funding
6 authors at 2 institutions in 3 countries.
Funding
Abstract
We present a new method, Fine-Mapping of Adaptive Variation (FineMAV), which combines population differentiation, derived allele frequency, and molecular functionality to prioritize positively selected candidate variants for functional follow-up. We calibrate and test FineMAV using eight experimentally validated "gold standard" positively selected variants and simulations. FineMAV has good sensitivity and a low false discovery rate. Applying FineMAV to the 1000 Genomes Project Phase 3 SNP dataset, we report many novel selected variants, including ones in TGM3 and PRSS53 associated with hair phenotypes that we validate using available independent data. FineMAV is widely applicable to sequence data from both human and other species.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.