ReviewCurrent opinion in genetics & development2016
Explosive genetic evidence for explosive human population growth.
Review in Current opinion in genetics & development, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed.
- Computing coalescence rates for complex demographies and sampling configurations.bioRxiv : the preprint server for biology · 2026Article
- Joint Effects of Balancing Selection and Population Bottlenecks on the Evolution of a Regulatory Region of Human Antiviral APOBEC3.Genome biology and evolution · 2025Article
- Estimation of demography and mutation rates from one million haploid genomes.American journal of human genetics · 2025Article
- Unifying approaches from statistical genetics and phylogenetics for mapping phenotypes in structured populations.PLoS biology · 2024Article
- Human genetic structure in Northwest France provides new insights into West European historical demography.Nature communications · 2024Article
- A mutation rate model at the basepair resolution identifies the mutagenic effect of polymerase III transcription.Nature genetics · 2023Article
- Demography and selection analysis of the incipient adaptive radiation of a Hawaiian woody species.PLoS genetics · 2022Article
- Genetic profiles of 103,106 individuals in the Taiwan Biobank provide insights into the health and history of Han Chinese.NPJ genomic medicine · 2021Article
- Mutation severity spectrum of rare alleles in the human genome is predictive of disease type.PLoS computational biology · 2020Article
- Article
- INDEX-db: The Indian Exome Reference Database (Phase I).Journal of computational biology : a journal of computational molecular cell biology · 2019Article
- Exact limits of inference in coalescent models.Theoretical population biology · 2019Article
- The new era of whole-exome sequencing in congenital heart disease: brand-new insights into rare pathogenic variants.Journal of thoracic disease · 2018Article
- Population genomic analysis of elongated skulls reveals extensive female-biased immigration in Early Medieval Bavaria.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Simulated datasets for population dynamics of sickle cell anaemia.Data in brief · 2018Article
- Comparison of Single Genome and Allele Frequency Data Reveals Discordant Demographic Histories.G3 (Bethesda, Md.) · 2017Article
- The population genetics of human disease: The case of recessive, lethal mutations.PLoS genetics · 2017Article
Corrections and comments
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2 authors.
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Abstract
The advent of next-generation sequencing technology has allowed the collection of vast amounts of genetic variation data. A recurring discovery from studying larger and larger samples of individuals had been the extreme, previously unexpected, excess of very rare genetic variants, which has been shown to be mostly due to the recent explosive growth of human populations. Here, we review recent literature that inferred recent changes in population size in different human populations and with different methodologies, with many pointing to recent explosive growth, especially in European populations for which more data has been available. We also review the state-of-the-art methods and software for the inference of historical population size changes that lead to these discoveries. Finally, we discuss the implications of recent population growth on personalized genomics, on purifying selection in the non-equilibrium state it entails and, as a consequence, on the genetic architecture underlying complex disease and the performance of mapping methods in discovering rare variants that contribute to complex disease risk.
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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.