The DOI matches its Crossref record; 46 of the 47 references it cites were found in a registry or an index; 1 of the 30 sources its claims cite were checked for support.
Evidence for recent, population-specific evolution of the human mutation rate
Open accessAbstract
Significance: Most, but not all, human genetic variation is shared between populations, and whole-genome sequencing is now making it possible to catalogue population-private mutations that occur in only one ethnic group and are especially informative about recent human history. By contrasting frequencies of mutations private to Europe, Asia, and Africa, I have revealed a previously undetected difference between Europeans and other ethnic groups: Europeans experience higher rates of a specific mutation type that has known associations with UV light exposure. Although it is not clear whether the excess mutations are harmful or directly related to the UV sensitivity of light skin, this result demonstrates that the human mutation rate has evolved on a much faster timescale than previously believed.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
The paper reports that private European SNPs in the 1000 Genomes data are enriched for the C→T transition 5′-TCC-3′→5′-TTC-3′, suggesting a recent population-specific increase in this mutation type after Europeans diverged from Asians. The author argues this implies the human mutation rate has not remained stable over the last tens of thousands of years, though the mechanism and causality remain unresolved.
Key findings
- In the 1000 Genomes phase I data, private European SNPs (462,876) had a higher percentage of C→T transitions (41.01%) than private Asian SNPs (38.99%) and private African SNPs (38.29%).
- The transition 5′-TCC-3′→5′-TTC-3′ plus its reverse-strand complement had frequency 3.32% in private European SNPs, compared with 1.98% in private African SNPs and 2.04% in private Asian SNPs; the abstract reports a 50% frequency increase during the 40,000–80,000 y since Europeans began diverging from Asians, while ARGweaver-based estimates place acceleration between 25,000 and 60,000 y ago.
- TCC→T was the only mutation type with a significant strand-bias difference between populations at P < 0.01: private European TCC→T SNPs showed no discernible strand bias, whereas private Asian and African TCC→T SNPs showed the typical A/C→G/T strand bias.
- European private genic SNPs had higher f(TCC) than intergenic SNPs, while Asian and African private genic sets had lower TCC→T frequencies, suggesting less effective transcription-coupled repair of TCC→T in Europeans; TCC→T is also described as the most common somatic mutation in melanoma and the mutation most frequently induced in vitro by UV.
Methods
- Analyzed 1000 Genomes phase I data from 1,092 human genomes, constructing population-private SNP sets for Europe (PE), Asia (PAs), and Africa (PAf), plus shared European-Asian SNPs (PAsE); singletons and variants with imputation quality RSQ < 0.95 were excluded, and ancestral states were inferred using the UCSC chimp PanTro4 alignment to hg19.
- Used Pearson’s χ² tests to compare mutation-type frequencies between SNP sets, nonparametric bootstrapping in bins of 1,000 consecutive SNPs within chromosomes, and χ² tests for transcription-strand bias using UCSC gene annotations.
- Compared results with Complete Genomics high-coverage genomes and with de novo mutation calls from 82 Icelandic trios.
Limitations
- Stated: The paper says it cannot pinpoint why the TCC→T rate increased and whether UV played a causal role; it cautions that the asymmetry could be confounded by bioinformatic biases, especially because 1000 Genomes phase I is heavily imputed and contains more European than Asian genomes, which could inflate rare European variant ascertainment.
- Stated: The author notes that current data cannot tell whether skin lightening predated TCC→T acceleration, and that the mechanism linking UV to germ-line mutations is unclear.
- Evident from the text: The inference relies on population-private SNPs and ancestral-state calls rather than direct de novo mutation measurement in non-Europeans, and the UV/melanoma connection is correlative rather than causally tested.
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Claims the paper makes
31 Own result · 19 Not checked yet · 17 Own interpretation · 6 No basis given · 2 Own method · 1 Partly supported · accuracy not yet measured
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The TCC → T frequency difference holds genome-wide, evident on every chromosome except for chromosome Y, which has too little population-private variation to yield accurate measurements of context-dependent SNP frequencies (Fig. 1E).”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“To rule out the possibility that TCC → T excess in Europe is a bioinformatic artifact specific to the 1000 Genomes data, I reproduced Fig. 1 A and B in a set of human genomes sequenced at high coverage using Complete Genomics technology (SI Appendix, section 3) (23).”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
What the sources say
- Not checked yetcites [23] source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A comparison of SNPs private to Africa, Asia, and Europe in the 1000 Genomes data reveals that private European variation is enriched for the transition 5′-TCC-3′ → 5′-TTC-3′.”
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“TCC → T and a few other C → T transitions exhibit the clearest evidence of European rate acceleration, but other mutation types might have experienced smaller rate changes within Europeans or other human populations.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Discussion
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“As predicted by this logic, f ðTCCÞ is higher among private genic European SNPs than among private intergenic European SNPs (Fig. 3F).”
§ Evidence for recent, population-specific evolution of the human mutation rate > Antiquity of the European Mutation Rate Change.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- The authors state this as an assumption: The TCC to T mutation rate is the same in genic and intergenic regions in Europeans because transcription-coupled repair is ineffective at preventing TCC to T mutations in Europeans.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“By contrasting frequencies of mutations private to Europe, Asia, and Africa, I have revealed a previously undetected difference between Europeans and other ethnic groups: Europeans experience higher rates of a specific mutation type that has known associations with UV light exposure.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In contrast, genomic regions that differ in GC content and/or sequencing depth show little consistency as to which mutation types show the most frequency differentiation between Africa and Asia.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In contrast, when PAs and PAf are partitioned into genic and intergenic SNPs, the genic SNP sets have lower TCC → T frequencies, suggesting that TCR of this mutation type is relatively efficient in non-Europeans.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Antiquity of the European Mutation Rate Change.
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Within Europe, Fig. 2 shows a slight f ðTCCÞ gradient running from north to south; the median f ðTCCÞ is lowest in the Finns and highest in the Spanish and Italians.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Antiquity of the European Mutation Rate Change.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Three other C → T transitions (TCT → TTT, ACC → ATC, and CCC → CTC) are also more abundant in Europe than in Africa across a broad range of GC contents and sequencing depths.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- It may state two separate claims as one. 25
- The quote only partly states this claim. 1
- Probably not a substantial claim. 12
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Based on these estimates, TCC → T rate acceleration seems to have occurred between 25,000 and 60,000 y ago, not long after Europeans diverged from Asians (SI Appendix, section 4).”
§ Evidence for recent, population-specific evolution of the human mutation rate > Antiquity of the European Mutation Rate Change.
What the sources say
- Partly supportedcites [24] sourceExperimental — accuracy not yet measured
The Results (Analysis of Real Data; page unavailable) state that ARGweaver produced allele-age estimates from human genomes, supporting the basis named in the claim. Our copy does not report a TCC → T rate acceleration, date it to 25,000–60,000 years ago, or relate it to European–Asian divergence; that appears to be the citing authors’ inference rather than a finding of this source. (LLM, conf=0.85)
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Combined with its reverse strand complement 5′-GGA-3′ → 5′-GAA-3′, TCC → T has frequency 3.32% in PE compared with 1.98% in PAf and 2.04% in PAs.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The results suggest that many mutation types occur at slightly higher rates in Europe compared with Asia, with C → T transitions, particularly TCC → T, showing the strongest signal of rate differentiation.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The African American f ðTCCÞ values are only slightly higher on average than the nonadmixed African values, but a few African American individuals have much higher f ðTCCÞ values in the middle of the admixed American range, presumably because they have more European ancestry than the other African Americans who were sampled.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Antiquity of the European Mutation Rate Change.
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In PE, TCC → TTC and its complement GGA → GAA are the 16th and 17th most common SNP types, respectively, whereas they are only ranked 27th and 32nd in PAs.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Private Asian and African TCC → T SNPs were found to exhibit the strand bias that is typical of A/C → G/T mutations (28), with the C → T change usually affecting the antisense strand and the G → A change usually affecting the sense strand.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Antiquity of the European Mutation Rate Change.
What the sources say
- Not checked yetcites [28] source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“there remain 462,876 private European SNPs (PE) that are variable in Europe but fixed ancestral in all nonadmixed Asian and African populations, as well as 265,988 private Asian SNPs (PAs) that are variable in Asia but fixed ancestral in Africa and Europe.”
- Also stated in: § Significance · plain
“I compared PE and PAs to the set of 3,357,498 private African SNPs (PAf) that are variable in the Yorubans (YRI) and/or Luhya (LWK) but fixed ancestral in Europe and Asia.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one. The quote only partly states this claim.
- Also stated in: § Significance · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Several CpG transitions including ACG → ATG seem to have higher frequencies in Asia than in Africa, but these differences disappear when the spectrum is folded to, for instance, identify ACG → ATG with the inverse mutation ATG → ACG (SI Appendix, section 5).”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“At the P = 0:01 significance level (gray dashed line), only TCC → T has a significant strand bias difference between Europe and Africa, whereas no mutation type significantly differs in strand bias between Asia and Africa.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Statistical Analysis of Frequency Differences.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Regardless of its causality, this change indicates that DNA replication fidelity has not remained stable even since the origin of modern humans and might have changed numerous times during our recent evolutionary history.”
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A 7,000-y-old Early European farmer was found to be homozygous for the skinlightening SLC24A5 allele (25), suggesting that light skin was relatively prevalent by 7,000 y ago and could have originated much earlier.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Antiquity of the European Mutation Rate Change.
hedgedSingle case- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This could produce a false overall excess of European-derived alleles but seems unlikely to elevate the discovery rate of TCC → T in Europe relative to other mutation types.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Excess C → T transitions are characteristic of several different mutagenic processes including UV damage and cytosine deamination (19).”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
What the sources say
- Not checked yetcites [19] source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Melanoma incidence in admixed Hispanics is strongly correlated with European ancestry (33)(34)(35).”
§ Evidence for recent, population-specific evolution of the human mutation rate > Discussion
What the sources say
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Despite the strong evidence that UV causes TCC → T mutations, the question remains how UV could affect germ-line cells that are generally shielded from solar radiation.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Discussion
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“Incidentally, melanoma is not only associated with UV light exposure but also with European ancestry, occurring at very low rates in Africans, African Americans, and even light-skinned Asians (32)(33)(34).”
§ Evidence for recent, population-specific evolution of the human mutation rate > Discussion
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Although this conflict might have arisen from a gradual decrease in the rate of germ-line mitoses per year as our ancestors evolved longer generation times (12,13), the results of this paper indicate that another force may have come into play: change in the mutation rate per mitosis.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Discussion
What the sources say
- Not checked yetcites [12]
- Not checked yetcites [13] source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“In the Icelandic trios, TCC → TTC and GGA → GAA are ranked 20th and 18th.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
What the sources say
- Not checked yetcites [10] source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In addition, because the 1000 Genomes phase I dataset is heavily imputed and contains more European genomes than Asian genomes, rare European variants might be ascertained more completely than rare Asian variants.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Significance
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The association of TCC → T mutations with UV exposure is not well understood, but two factors seem to be in play: (i) the propensity of UV to cross-link the TC into a base dimer lesion and (ii) poorer repair efficacy at TCC than at other motifs where UV lesions can form (36,37).”
§ Evidence for recent, population-specific evolution of the human mutation rate > Discussion
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Most human trios that have been sequenced are European in origin (SI Appendix, section 9), meaning that there exist few measurements of de novo mutation patterns on diverse genetic backgrounds.”
§ Evidence for recent, population-specific evolution of the human mutation rate > UV damage
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Melanoma somatic mutations consist almost entirely of C → T transitions, 28% of which are TCC → T mutations (19,31).”
§ Evidence for recent, population-specific evolution of the human mutation rate > Discussion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Although it is not clear whether UV played a causal role in changing the European mutational spectrum, 5′-TCC-3′ → 5′-TTC-3′ is known to be the most common somatic mutation present in melanoma skin cancers, as well as the mutation most frequently induced in vitro by UV.”
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“In the mid-1990s, Drobetsky et al. (29) and Marionnet et al. (30) observed that TCC → T dominated the mutational spectra of single genes isolated from UV-irradiated cell cultures.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Discussion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“A study of the California Cancer Registry found that the annual age-adjusted incidence of melanoma cases per 100,000 people was 0.8-0.9 for Asians, 0.7-1.0 for African Americans, and 11.3-17.2for Caucasians (35).”
§ Evidence for recent, population-specific evolution of the human mutation rate > Discussion
What the sources say
- Not checked yetcites [35] source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“SNPs that affect gene expression in DNA damage response pathways show evidence of recent diversifying selection, exhibiting geographic frequency gradients that seem to be correlated with environmental UV exposure (7).”
§ Evidence for recent, population-specific evolution of the human mutation rate > UV damage
What the sources say
- Not checked yetcites [7] source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Drobetsky et al. (29) compared the incidence of UV lesions to the incidence of mutations in irradiated cells and found that TCC motifs were not hotspots for lesion formation but instead were disproportionately likely to have lesions develop into mutations rather than undergoing error-free repair.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Discussion
What the sources say
- Not checked yetcites [29] source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“These definitions are meant to select for mutations that have been confined to a single continent for most of their history except for possible recent transmission to the Americas.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Materials and Methods
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Singletons are excluded to minimize the impact of possible sequencing error, and variants with imputation quality lower than RSQ = 0:95 are excluded to minimize erroneous designation of shared SNPs as population-private.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Materials and Methods
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Given such a general challenge to the molecular clock assumption, it may be wise to infer demographic history from mutations such as CpG transitions that accumulate in a more clocklike way than other mutations (8,20).”
§ Evidence for recent, population-specific evolution of the human mutation rate > Discussion
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“If the mutagenic spectrum was able to change during the last 60,000 y of human history, it might have changed numerous times during great ape evolution and beforehand.”
§ Evidence for recent, population-specific evolution of the human mutation rate > Discussion
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The authors state this as an assumption.
The TCC to T mutation rate is the same in genic and intergenic regions in Europeans because transcription-coupled repair is ineffective at preventing TCC to T mutations in Europeans.
“If we assume that the TCC → T mutation rate is the same in genic and intergenic regions because TCR is ineffective at preventing TCC → T mutations in Europeans, we should expect the frequency f ðTCCÞ to be slightly higher among private genic SNPs than among private intergenic SNPs.”
The paper relies on this without support.
The observed European excess of TCC to T mutations is not explained by demographic events such as a population bottleneck.
“This asymmetry cannot be explained by a demographic event such as a population bottleneck; however, it should be interpreted with caution because many bioinformatic biases have the potential to confound this test.”
The paper relies on this without support.
Previous studies have presented no evidence of mutation rate evolution on a timescale as recent as the human migration out of Africa.
“To my knowledge, previous studies have presented no evidence of mutation rate evolution on a timescale as recent as the human migration out of Africa.”
The paper relies on this without support.
The private SNPs used in the analysis are enriched for young mutations that arose after humans left Africa and began adapting to temperate latitudes.
“These SNPs should be enriched for young mutations that arose after humans had already left Africa and begun adapting to temperate latitudes.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Evidence indicates that both Denisovan and Neanderthal aSNPs, especially those within protein coding and conserved non-coding elements, are mostly deleterious and negatively selected in modern humans [14, 61].”
From Denisovan introgression has shaped the immune system of present-day Papuans (2022) · cites this paper as [61]
Experimental — accuracy not yet measured
Citations
Cites
Signatures of mutational processes in human cancer
Initiative, A. P. C. G., Alexandrov, L. B., ICGC Breast Cancer Consortium, ICGC MMML-Seq Consortium, PedBrain, I., Nik-Zainal, S., Wedge, D. C., Aparicio, S. A. J. R., Behjati, S., Biankin, A. V., et al. (2013) · Nature · doi:10.1038/nature12477 · Cited by 9,660
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711
Mitochondrial DNA and human evolution
Cann, R. L., Stoneking, M., & Wilson, A. C. (1987) · Nature · doi:10.1038/325031a0 · Cited by 3,100
Inference of human population history from individual whole-genome sequences
Li, H., & Durbin, R. (2011) · Nature · doi:10.1038/nature10231 · Cited by 2,590
The complete genome sequence of a Neanderthal from the Altai Mountains
Prüfer, K., Racimo, F., Patterson, N., Jay, F., Sankararaman, S., Sawyer, S., Heinze, A., Renaud, G., Sudmant, P. H., de Filippo, C., et al. (2014) · Nature · doi:10.1038/nature12886 · Cited by 2,254
Rate of de novo mutations and the importance of father’s age to disease risk
Kong, A., Frigge, M. L., Masson, G., Besenbacher, S., Sulem, P., Magnusson, G., Gudjonsson, S. A., Sigurdsson, A., Jonasdottir, A., Jonasdottir, A., et al. (2012) · Nature · doi:10.1038/nature11396 · Cited by 2,134
Gutenkunst, R. N., Hernandez, R. D., Williamson, S. H., & Bustamante, C. D. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000695 · Cited by 1,906
A comprehensive catalogue of somatic mutations from a human cancer genome
Pleasance, E. D., Cheetham, R. K., Stephens, P. J., McBride, D. J., Humphray, S. J., Greenman, C. D., Varela, I., Lin, M.-L., Ordóñez, G. R., Bignell, G. R., et al. (2010) · Nature · doi:10.1038/nature08658 · Cited by 1,696
Ancient human genomes suggest three ancestral populations for present-day Europeans
Lazaridis, I., Patterson, N., Mittnik, A., Renaud, G., Mallick, S., Kirsanow, K., Sudmant, P. H., Schraiber, J. G., Castellano, S., Lipson, M., et al. (2014) · Nature · doi:10.1038/nature13673 · Cited by 1,357
Cited by
Sorted by citations
The Simons Genome Diversity Project: 300 genomes from 142 diverse populations
Mallick, S., Li, H., Lipson, M., Mathieson, I., Gymrek, M., Racimo, F., Zhao, M., Chennagiri, N., Nordenfelt, S., Tandon, A., et al. (2016) · Nature · doi:10.1038/nature18964 · Cited by 1,584
Genetic drift, selection and the evolution of the mutation rate
Lynch, M., Ackerman, M. S., Gout, J.-F., Long, H., Sung, W., Thomas, W. K., & Foster, P. L. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.104 · Cited by 911
A method for genome-wide genealogy estimation for thousands of samples
Speidel, L., Forest, M., Shi, S., & Myers, S. R. (2019) · Nature Genetics · doi:10.1038/s41588-019-0484-x · Cited by 480
Detection of human adaptation during the past 2000 years
Field, Y., Boyle, E. A., Telis, N., Gao, Z., Gaulton, K. J., Golan, D., Yengo, L., Rocheleau, G., Froguel, P., McCarthy, M. I., et al. (2016) · Science · doi:10.1126/science.aag0776 · Cited by 383
Variation in the molecular clock of primates
Moorjani, P., Amorim, C. E. G., Arndt, P. F., & Przeworski, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600374113 · Cited by 248
Rapid evolution of the human mutation spectrum
Harris, K., & Pritchard, J. K. (2017) · eLife · doi:10.7554/elife.24284 · Cited by 179
Self-citationThe origins, determinants, and consequences of human mutations
Shendure, J., & Akey, J. M. (2015) · Science · doi:10.1126/science.aaa9119 · Cited by 167
Human Dispersal Out of Africa: A Lasting Debate
López, S., van Dorp, L., & Hellenthal, G. (2015) · Evolutionary Bioinformatics · doi:10.4137/ebo.s33489 · Cited by 168
Human generation times across the past 250,000 years
Wang, R. J., Al-Saffar, S. I., Rogers, J., & Hahn, M. W. (2023) · Science Advances · doi:10.1126/sciadv.abm7047 · Cited by 93
Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes
Wang, Q. S., Pierce‐Hoffman, E., Cummings, B. B., Alföldi, J., Francioli, L. C., Gauthier, L. D., Hill, A. J., O’Donnell‐Luria, A., Genome Aggregation Database Production Team, Armean, I. M., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-12438-5 · Cited by 149
The mutation rate in human evolution and demographic inference
Scally, A. (2016) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2016.07.008 · Cited by 145
Pinotti, T., Bergström, A., Geppert, M., Bawn, M., Ohasi, D., Shi, W., Lacerda, D. R., Solli, A., Norstedt, J., Reed, K., et al. (2018) · Current Biology · doi:10.1016/j.cub.2018.11.029 · Cited by 136
Extremely rare variants reveal patterns of germline mutation rate heterogeneity in humans
Carlson, J., Locke, A. E., Flickinger, M., Zawistowski, M., Levy, S., Myers, R., Boehnke, M., Kang, H. M., Scott, L. J., Li, J. Z., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05936-5 · Cited by 142
An ancestral recombination graph of human, Neanderthal, and Denisovan genomes
Schaefer, N. K., Shapiro, B., & Green, R. E. (2021) · Science Advances · doi:10.1126/sciadv.abc0776 · Cited by 106
The genomic origins of the world’s first farmers
Marchi, N., Winkelbach, L., Schulz, I., Brami, M., Hofmanová, Z., Blöcher, J., Reyna-Blanco, C. S., Diekmann, Y., Thiéry, A. H., Kapopoulou, A., et al. (2022) · Cell · doi:10.1016/j.cell.2022.04.008 · Cited by 123
Simons, Y. B., & Sella, G. (2016) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2016.09.006 · Cited by 107
Mutation and Human Exceptionalism: Our Future Genetic Load
Lynch, M. (2016) · Genetics · doi:10.1534/genetics.115.180471 · Cited by 114
Increased mutation and gene conversion within human segmental duplications
Vollger, M. R., Dishuck, P. C., Harvey, W. T., DeWitt, W. S., Guitart, X., Goldberg, M. E., Rozanski, A. N., Lucas, J., Asri, M., Human Pangenome Reference Consortium, et al. (2023) · Nature · doi:10.1038/s41586-023-05895-y · Cited by 104
A comparison of humans and baboons suggests germline mutation rates do not track cell divisions
Wu, F. L., Strand, A. I., Cox, L. A., Ober, C., Wall, J. D., Moorjani, P., & Przeworski, M. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000838 · Cited by 91
Genetic and chemotherapeutic influences on germline hypermutation
Kaplanis, J., Ide, B., Sanghvi, R., Neville, M. D. C., Danecek, P., Coorens, T. H. H., Prigmore, E., Short, P., Gallone, G., McRae, J. F., et al. (2022) · Nature · doi:10.1038/s41586-022-04712-2 · Cited by 96
Kessler, M. D., Loesch, D. P., Perry, J. A., Heard‐Costa, N. L., Taliun, D., Cade, B. E., Wang, H., Daya, M., Ziniti, J. P., Datta, S., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902766117 · Cited by 93
Narasimhan, V. M., Rahbari, R., Scally, A., Wüster, A., Mason, D., Xue, Y., Wright, J., Trembath, R. C., Maher, E. R., van Heel, D. A., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00323-y · Cited by 101
Differences in the rare variant spectrum among human populations
Mathieson, I., & Reich, D. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006581 · Cited by 80
Smith, T., Arndt, P. F., & Eyre‐Walker, A. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007254 · Cited by 71
Leveraging Distant Relatedness to Quantify Human Mutation and Gene-Conversion Rates
Palamara, P. F., Francioli, L. C., Wilton, P., Genovese, G., Gusev, A., Finucane, H. K., Sankararaman, S., Sunyaev, S. R., de Bakker, P. I. W., Wakeley, J., et al. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.10.006 · Cited by 71
Evolution of the SARS-CoV-2 Mutational Spectrum
Bloom, J. D., Beichman, A. C., Neher, R. A., & Harris, K. (2023) · Molecular Biology and Evolution · doi:10.1093/molbev/msad085 · Cited by 72
Self-citationInferring Population Histories for Ancient Genomes Using Genome-Wide Genealogies
Speidel, L., Cassidy, L. M., Davies, R. W., Hellenthal, G., Skoglund, P., & Myers, S. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab174 · Cited by 78
Human Germline Mutation and the Erratic Evolutionary Clock
Moorjani, P., Gao, Z., & Przeworski, M. (2016) · PLoS Biology · doi:10.1371/journal.pbio.2000744 · Cited by 68
Evolution of the mutation rate across primates
Chintalapati, M., & Moorjani, P. (2020) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2020.05.028 · Cited by 62
Calibrating the Human Mutation Rate via Ancestral Recombination Density in Diploid Genomes
Lipson, M., Loh, P., Sankararaman, S., Patterson, N. J., Berger, B., & Reich, D. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005550 · Cited by 65
Kiefer, C., Willing, E., Jiao, W., Sun, H., Piednoël, M., Hümann, U., Hartwig, B., Koch, М. A., & Schneeberger, K. (2019) · Nature Plants · doi:10.1038/s41477-019-0486-9 · Cited by 64
Population sequencing data reveal a compendium of mutational processes in the human germ line
Seplyarskiy, V. B., Soldatov, R., Koch, E. M., McGinty, R. J., Goldmann, J. M., Hernandez, R. D., Barnes, K. C., Correa, A., Burchard, E. G., Ellinor, P. T., et al. (2021) · Science · doi:10.1126/science.aba7408 · Cited by 67
A natural mutator allele shapes mutation spectrum variation in mice
Sasani, T. A., Ashbrook, D. G., Beichman, A. C., Lu, L., Palmer, A. A., Williams, R. W., Pritchard, J. K., & Harris, K. (2022) · Nature · doi:10.1038/s41586-022-04701-5 · Cited by 64
Self-citationTime‐dependent estimates of molecular evolutionary rates: evidence and causes
Ho, S. Y. W., Duchêne, S., Molak, M., & Shapiro, B. (2015) · Molecular Ecology · doi:10.1111/mec.13450 · Cited by 60
Automatic inference of demographic parameters using generative adversarial networks
Wang, Z., Wang, J., Κourakos, M., Hoang, N., Lee, H. H., Mathieson, I., & Mathieson, S. (2021) · Molecular Ecology Resources · doi:10.1111/1755-0998.13386 · Cited by 59
Efficient DNA sequence compression with neural networks
Silva, M., Pratas, D., & Pinho, A. J. (2020) · GigaScience · doi:10.1093/gigascience/giaa119 · Cited by 57
Seplyarskiy, V. B., Koch, E. M., Lee, D. J., Lichtman, J. S., Luan, H. H., & Sunyaev, S. R. (2023) · Nature Genetics · doi:10.1038/s41588-023-01562-0 · Cited by 54
Direct estimate of the spontaneous germ line mutation rate in African green monkeys
Pfeifer, S. P. (2017) · Evolution · doi:10.1111/evo.13383 · Cited by 49
Exome-wide assessment of the functional impact and pathogenicity of multinucleotide mutationsPreprint
Kaplanis, J., Akawi, N. A., Gallone, G., McRae, J. F., Prigmore, E., Wright, C. F., FitzPatrick, D. R., Firth, H. V., Barrett, J. C., Hurles, M. E., et al. (2019) · Genome Research · doi:10.1101/gr.239756.118 · Cited by 49
Human adaptation and population differentiation in the light of ancient genomes
Key, F. M., Fu, Q., Romagné, F., Lachmann, M., & Andrés, A. M. (2016) · Nature Communications · doi:10.1038/ncomms10775 · Cited by 45
Denisovan introgression has shaped the immune system of present-day Papuans
Vespasiani, D. M., Jacobs, G. S., Cook, L. E., Brucato, N., Leavesley, M., Kinipi, C., Ricaut, F.-X., Cox, M. P., & Gallego Romero, I. (2022) · PLOS Genetics · doi:10.1371/journal.pgen.1010470 · Cited by 46
Low Genetic Quality Alters Key Dimensions of the Mutational Spectrum
Sharp, N. P., & Agrawal, A. F. (2016) · PLoS Biology · doi:10.1371/journal.pbio.1002419 · Cited by 45
Agarwal, I., & Przeworski, M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1900714116 · Cited by 41
Nonparametric coalescent inference of mutation spectrum history and demography
DeWitt, W. S., Harris, K. D., Ragsdale, A. P., & Harris, K. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2013798118 · Cited by 47
Self-citationJiang, P., Ollodart, A. R., Sudhesh, V., Herr, A. J., Dunham, M. J., & Harris, K. (2021) · eLife · doi:10.7554/elife.68285 · Cited by 46
Self-citationThe population genetics of ploidy change in unicellular fungi
Gerstein, A. C., & Sharp, N. P. (2021) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuab006 · Cited by 40
Assaf, Z. J. F., Tilk, S., Park, J., Siegal, M. L., & Petrov, D. A. (2017) · Genome Research · doi:10.1101/gr.219956.116 · Cited by 41
Moenga, S. M., Gai, Y., Carrasquilla‐Garcia, N., Perilla‐Henao, L. M., & Cook, D. R. (2020) · The Plant Journal · doi:10.1111/tpj.14988 · Cited by 38
Yoder, A. D., & Tiley, G. P. (2021) · Molecular Ecology · doi:10.1111/mec.16007 · Cited by 40
Molecular basis of the attenuated phenotype of human APOBEC3B DNA mutator enzyme
Caval, V., Bouzidi, M. S., Suspène, R., Laude, H., Dumargne, M.-C., Bashamboo, A., Krey, T., Vartanian, J., & Wain–Hobson, S. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv935 · Cited by 35
Coll Macià, M., Skov, L., Peter, B. M., & Schierup, M. H. (2021) · Nature Communications · doi:10.1038/s41467-021-25524-4 · Cited by 33
Mutation bias and the predictability of evolution
Cano, A. V., Gitschlag, B. L., Rozhoňová, H., Stoltzfus, A., McCandlish, D. M., & Payne, J. L. (2023) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2022.0055 · Cited by 39
Melamed, D., Nov, Y., Malik, A., Yakass, M. B., Bolotin, E., Shemer, R., Hiadzi, E. K., Skorecki, K. L., & Livnat, A. (2022) · Genome Research · doi:10.1101/gr.276103.121 · Cited by 33
Statistical Methods for Identifying Sequence Motifs Affecting Point Mutations
Zhu, Y., Neeman, T. M., Yap, V. B., & Huttley, G. A. (2016) · Genetics · doi:10.1534/genetics.116.195677 · Cited by 29
Goldberg, M. E., & Harris, K. (2021) · Genome Biology and Evolution · doi:10.1093/gbe/evab104 · Cited by 35
Self-citationKessler, M. D., Bateman, N. W., Conrads, T. P., Maxwell, G. L., Hotopp, J. C. D., & O’Connor, T. D. (2019) · Cancer · doi:10.1002/cncr.32020 · Cited by 29
Grine, F. E., Mongle, C. S., Fleagle, J. G., & Hammond, A. S. (2022) · Journal of Human Evolution · doi:10.1016/j.jhevol.2022.103255 · Cited by 27
Legacy Data Confound Genomics Studies
Anderson-Trocmé, L., Farouni, R., Bourgey, M., Kamatani, Y., Higasa, K., Seo, J., Kim, C., Matsuda, F., & Gravel, S. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz201 · Cited by 28
Evolution of the Mutation Spectrum Across a Mammalian Phylogeny
Beichman, A. C., Robinson, J. A., Lin, M., Moreno‐Estrada, A., Nigenda‐Morales, S. F., & Harris, K. (2023) · Molecular Biology and Evolution · doi:10.1093/molbev/msad213 · Cited by 29
Self-citationThe evolution of the human genome
Simonti, C., & Capra, J. A. (2015) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2015.08.005 · Cited by 24
Inferring evolutionary dynamics of mutation rates through the lens of mutation spectrum variation
Carlson, J., DeWitt, W. S., & Harris, K. (2020) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2020.05.024 · Cited by 24
Self-citationSignificant Strain Variation in the Mutation Spectra of Inbred Laboratory Mice
Dumont, B. L. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz026 · Cited by 27
Wang, J., Li, X.-R., Kim, K. D., Scanlon, M., Jackson, S., Springer, N., & Yu, J.-M. (2019) · Genome Biology · doi:10.1186/s13059-019-1683-6 · Cited by 18
Signals of Variation in Human Mutation Rate at Multiple Levels of Sequence Context
Aikens, R. C., Johnson, K. E., & Voight, B. F. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz023 · Cited by 23
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Self-citationLimited role of generation time changes in driving the evolution of the mutation spectrum in humans
Gao, Z., Zhang, Y., Cramer, N., Przeworski, M., & Moorjani, P. (2023) · eLife · doi:10.7554/elife.81188 · Cited by 22
Pratas, D., Hosseini, M., Silva, J. M., & Pinho, A. J. (2019) · Entropy · doi:10.3390/e21111074 · Cited by 22
Mutational bias and the protein code shape the evolution of splicing enhancers
Rong, S., Buerer, L., Rhine, C. L., Wang, J., Cygan, K. J., & Fairbrother, W. G. (2020) · Nature Communications · doi:10.1038/s41467-020-16673-z · Cited by 20
Inference of Candidate Germline Mutator Loci in Humans from Genome-Wide Haplotype Data
Seoighe, C., & Scally, A. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006549 · Cited by 22
Martin, C. H., & Höhna, S. (2017) · Molecular Ecology · doi:10.1111/mec.14404 · Cited by 17
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Rozhok, A. I., & DeGregori, J. V. (2019) · BMC Evolutionary Biology · doi:10.1186/s12862-019-1496-y · Cited by 15
Amos, W. (2020) · Royal Society Open Science · doi:10.1098/rsos.191900 · Cited by 15
Comparison of Compression-Based Measures with Application to the Evolution of Primate Genomes
Pratas, D., Silva, R. M., & Pinho, A. J. (2018) · Entropy · doi:10.3390/e20060393 · Cited by 13
Godar, D. E., Subramanian, M., & Merrill, S. J. (2016) · Dermato-Endocrinology · doi:10.1080/19381980.2016.1267077 · Cited by 14
Estimation of demography and mutation rates from one million haploid genomes
Schraiber, J. G., Spence, J. P., & Edge, M. D. (2025) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2025.07.008 · Cited by 16
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Distinct landscapes of deleterious variants in DNA damage repair system in ethnic human populations
Qin, Z., Huang, T., Guo, M., & Wang, S. M. (2022) · Life Science Alliance · doi:10.26508/lsa.202101319 · Cited by 14
Wang, F., Song, F., Wang, X., Song, M., Zhou, Y., Liu, J., Wang, Z., & Hou, Y. (2022) · Scientific Reports · doi:10.1038/s41598-022-20014-z · Cited by 12
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Amos, W. (2019) · Royal Society Open Science · doi:10.1098/rsos.191018 · Cited by 12
Adams, C. J., Conery, M., Auerbach, B. J., Jensen, S. T., Mathieson, I., & Voight, B. (2023) · bioRxiv · doi:10.1371/journal.pgen.1010807 · Cited by 12
Finocchio, A., Trombetta, B., Messina, F., D’Atanasio, E., Akar, N., Loutradis, A., Michalodimitrakis, E. I., Cruciani, F., & Novelletto, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-25912-9 · Cited by 11
Narasimhan, V. M., Rahbari, R., Scally, A., Wüster, A., Mason, D., Xue, Y., Wright, J., Trembath, R. C., Maher, E. R., van Heel, D. A., et al. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/059436 · Cited by 11
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Glinsky, G. V. (2022) · Molecular Genetics and Genomics · doi:10.1007/s00438-022-01954-7 · Cited by 10
Rozhok, A. I., & DeGregori, J. V. (2020) · Evolutionary Applications · doi:10.1111/eva.12947 · Cited by 10
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Zhao, Y., Dong, L., Jiang, C., Wang, X., Xie, J., Rashid, M. A. R., Liu, Y., Li, M., Bu, Z., Wang, H., et al. (2020) · BMC Biology · doi:10.1186/s12915-020-00917-x · Cited by 11
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Heredia‐Genestar, J. M., Marquès‐Bonet, T., Juan, D., & Navarro, A. (2020) · Nature Communications · doi:10.1038/s41467-020-16296-4 · Cited by 7
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Self-citation
Metadata
- Authors
- Harris, K.
- Affiliations
- University of California, Berkeley (US)
- Corresponding author
- Harris, Kelley
- ORCID
- Harris, Kelley
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2015-03-02
- Volume
- 112
- Issue
- 11
- Pages
- 3439-3444
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4371947
- OpenAlex
- W2115741580
- Semantic Scholar
- 43a60e7b197d8f860145743b4fc95a6b8ec0cbbe
- Cited by
- 165
- References
- 47
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 10 · 2023: 15 · 2022: 19 · 2021: 20 · 2020: 19 · 2019: 14 · 2018: 9 · 2017: 11 · 2016: 21 · 2015: 8
- FWCI
- 11.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (1000078615)
- HHS | National Institutes of Health (IR01GM109454-01)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- mutation spectrum, UV mutagenesis, DNA replication fidelity, local adaptation, European populations, melanoma, DNA damage response, human dispersal out of Africa, 1000 Genomes Project
- MeSH terms
- Europe, Biological Evolution, Genetics, Population, Humans, Mutation, Transcription, Genetic, Genetic Variation, Computational Biology, Mutation Rate
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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