A Chronological Atlas of Natural Selection in the Human Genome during the Past Half-million Years
Open accessAbstract
The spatiotemporal distribution of recent human adaptation is a long standing question. We developed a new coalescent-based method that collectively assigned human genome regions to modes of neutrality or to positive, negative, or balancing selection. Most importantly, the selection times were estimated for all positive selection signals, which ranged over the last half million years, penetrating the emergence of anatomically modern human (AMH). These selection time estimates were further supported by analyses of the genome sequences from three ancient AMHs and the Neanderthals. A series of brain function-related genes were found to carry signals of ancient selective sweeps, which may have defined the evolution of cognitive abilities either before Neanderthal divergence or during the emergence of AMH. Particularly, signals of brain evolution in AMH are strongly related to Alzheimer’s disease pathways. In conclusion, this study reports a chronological atlas of natural selection in Human.
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TL;DR
The paper presents a coalescent-based method using PSMC/UPGMA on 1000 Genomes phase 1 data to classify human genomic regions as neutral, positive, negative, or balancing selection and to estimate selection times over the past half-million years. It reports candidate positive-selection regions in CEU, CHB, and YRI, ancient brain-related signals linked to Alzheimer’s disease pathways, and recent stress-response signals in YRI.
Key findings
- The study identified 117, 230, and 485 candidate positive-selection (PS) regions in CEU, CHB, and YRI, respectively, occupying 1.13%–2.94% of the genome. Negative selection was higher in YRI (~10%) than in CEU (~2.5%) and CHB (~1.9%); balancing selection was abundant in YRI but much less frequent in CEU and CHB, with the MHC regions harboring the strongest balancing-selection signals in all three populations.
- PS signals were significantly enriched for genes expressed in the brain and sperm; balancing-selection signals were enriched for MHC class II (P = 3.67 × 10⁻⁸), cellular defense response (P = 3.86 × 10⁻⁷), and cell-cell adhesion (P = 2.1 × 10⁻⁵).
- Selection-time estimates included CEU TmaxD of 835 ga (~20.9 kya) for aFM and 706 ga (~17.7 kya) for aHG, and YRI TmaxD of 1,898 ga (47.5 kya) for aEA. Signals older than 2,218 ga (~55.5 kya) were enriched for brain function (odds ratio = 7.53, P = 8.08 × 10⁻⁶), while recent YRI stress-response signals after 444 ga (~11.1 kya) were enriched (odds ratio = 4.21, P = 8.37 × 10⁻⁴).
- Ancient AMH brain-related PS genes including SPON1, SORL1, MAPT, ELAVL4, and SNCA were reported to interact within an Alzheimer’s disease pathogenesis sub-network; recent CEU aFM-like signals included GATM, GALK2, and SORD.
Methods
- Coalescent trees were reconstructed from 30 haploid genomes each from CEU, CHB, and YRI in the 1000 Genomes Project phase 1 dataset using PSMC pairwise TMRCA estimates and UPGMA; rescaled trees were analyzed with a likelihood framework (H0, H1, H2) to assign neutrality, negative selection, balancing selection, or positive selection and to estimate selection times and coefficients.
- Simulations using MSMS and SFS_CODE evaluated power and false-positive rates, with comparisons to Tajima’s D, Fay and Wu’s H, and iHS. Empirical ancient DNA analyses used Ust’-Ishim (~45,000 years old), Stuttgart (~7,000 years old), Loschbour (~8,000 years old), and a Neanderthal consensus; haplotype distance D aDNA,MHG and TmaxD were calculated with Chi-square tests and permutations.
- Functional enrichment used DAVID and PANTHER, and temporal enrichment used Fisher’s exact test with 10,000 permutations to calculate false discovery rates.
Limitations
- The paper states that selection coefficients can best be estimated only roughly as strong or weak, although selection times could be estimated quite accurately in simulations. It also notes that ancient PS selection times showed obvious underestimation and required correction.
- The paper states that CEU TmaxD estimates were substantially older than radiocarbon-dated aDNA specimen times, potentially due to overestimation of selection time in empirical CEU data, early parting of the aDNA lineage from direct CEU ancestors, or strong ancestral population structure. It also notes that ancient brain-function enrichment may be confounded because many ancient signals were manually annotated based on literature review.
- The text makes evident additional limitations: aDNA haplotype-distance relationships can be disrupted by incomplete sweeps or later outbreeding; only three ancient AMH genomes and a Neanderthal consensus were used; and the method depends on PSMC/UPGMA tree reconstruction and a correction assuming the overall genome coalescent profile is neutral.
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Claims the paper makes
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- Findingnone given
The method simultaneously estimates selection coefficient and selection time.
“Most importantly, our method simultaneously estimates selection coefficient and selection time.”
Quote in the paperSubstantial claim - Findingown data
Simulations showed that the method has high power to detect negative selection and balancing selection for a wide range of conditions.
“Simulations showed that our method has high power to detect NS and BS for a wide range of conditions (Supplementary Fig. 5).”
Quote in the paperSubstantial claim - Findingown data
Simulations indicate that selection coefficients can best be estimated only roughly as strong or weak.
“Simulations indicate that selection coefficients can best be estimated only roughly as strong or weak (Supplementary Fig. 7);”
Quote in the paperNot a substantial claim - Findingown data
For positive selection simulations based on realistic demographic models, RPS and APS tests showed high combined power toward either recent (<2,500 generations ago) or ancient (2,500-24,000 generations ago) events.
“For the PS simulations based on realistic demographic models (Supplementary Fig. 6 and Online Methods), RPS and APS tests showed high combined power toward either recent [< 2,500 generations ago (ga), Fig. 1a] or ancient (2,500-24,000 ga, Fig. 1b) events.”
Quote in the paperSubstantial claim - Findingown data
Patterns in CEU and CHB were similar to those observed in YRI.
“Patterns in CEU and CHB were similar to those observed in YRI (Supplementary Fig. 10).”
Quote in the paperNot a substantial claim
- Findingown data
When YRI was compared to aEA, a similar decline of D aDNA,MHG was detected toward more anciently dated signals.
“When YRI was compared to aEA, a similar decline of D aDNA,MHG was detected toward the more anciently dated signals, and T maxD was estimated to be 1,898 ga (47.5 kya, Chi-square test, P = 4.2 × 10 -5 , FDR permut = 0.02, Fig. 3c), which was in good agreement with the results of radiocarbon dating for this specimen 39 .”
Quote in the paperSubstantial claim - Findingown data
T maxD for aFM in CEU was estimated to be 835 generations ago (~20.9 kya).
“The time that defines the most significant change in D aDNA,MHG (hereafter referred to as T maxD ) was estimated to be 835 ga (~20.9 kya) for aFM (Chi-square test, P = 1.0 × 10 -3 , FDR permut = 0.029, Fig. 3a), and 706 ga (~17.7 kya) for aHG (Chi-square test, P = 2.44 × 10 -3 , FDR permut = 0.055, Fig. 3b).”
Quote in the paperSubstantial claim - Findingown data
In the YRI scenario, the power of APS reached a maximum of >90% around 2,500 generations ago and slowly declined to around 30% at 20,000 generations ago.
“In the YRI scenario, the power of APS reached a maximum of > 90% around 2,500 ga and slowly declined to around 30% at time 20,000 ga (20 kga) (Fig. 1b).”
Quote in the paperSubstantial claim - Findingown data
Selection times could be estimated quite accurately.
“however selection times could be estimated quite accurately (Fig. 1e-g and Supplementary Fig. 8).”
Quote in the paperSubstantial claim - Findingown data
T maxD for aHG in CEU was estimated to be 706 generations ago (~17.7 kya).
“The time that defines the most significant change in D aDNA,MHG (hereafter referred to as T maxD ) was estimated to be 835 ga (~20.9 kya) for aFM (Chi-square test, P = 1.0 × 10 -3 , FDR permut = 0.029, Fig. 3a), and 706 ga (~17.7 kya) for aHG (Chi-square test, P = 2.44 × 10 -3 , FDR permut = 0.055, Fig. 3b).”
Quote in the paperSubstantial claim - Findingown data
In CEU, positive selection signals recorded a sudden decrease in D aDNA,MHG distance to either aHG or aFM along the estimated time of selection.
“In CEU, the PS signals recorded a sudden decrease in the D aDNA,MHG distance to either aHG or aFM, along the estimated time of selection (Fig. 3a,b).”
Quote in the paperSubstantial claim - Findingown data
Functional enrichment analyses of positive selection signals showed significant enrichment for genes expressed in the brain and sperm.
“Functional enrichment analyses of the PS signals showed significant enrichment for genes expressed in the brain and sperm.”
Quote in the paperNot a substantial claim - Findingown data
The MHC regions harbored the strongest signals of balancing selection in all three populations.
“The major histocompatibility complex (MHC) regions harbored the strongest signals of BS in all three populations (Fig. 2a).”
Quote in the paperSubstantial claim - Findingown data
For candidate positive selection regions, D aDNA,MHG showed a strong dependence on estimated times of selection.
“For the candidate PS regions, we observed a strong dependence of D aDNA,MHG on the estimated times of selection (Fig. 3).”
Quote in the paperSubstantial claim - Findingown data
T maxD for YRI compared to aEA was estimated to be 1,898 generations ago (47.5 kya).
“When YRI was compared to aEA, a similar decline of D aDNA,MHG was detected toward the more anciently dated signals, and T maxD was estimated to be 1,898 ga (47.5 kya, Chi-square test, P = 4.2 × 10 -5 , FDR permut = 0.02, Fig. 3c), which was in good agreement with the results of radiocarbon dating for this specimen 39 .”
Quote in the paperSubstantial claim - Findingown data
SORD was found to be selected in the aHG-like class.
“SORD is another carbohydrate metabolism-related candidate gene (829 ga, ~20.7 kya), but was found to be selected in the aHG-like class.”
Quote in the paperNot a substantial claim - Findingown data
Signals of stress response were significantly enriched in recent YRI history later than 444 generations ago (~11.1 ky) with an odds ratio of 4.21 (P = 8.37 × 10^-4, FDR = 0.013).
“On the other hand, the signals of stress response were significantly enriched in the recent YRI history of later than 444 ga (~11.1 ky, odds ratio = 4.21, P value = 8.37 × 10 -4 , FDR permut = 0.013, Supplementary Fig. 11b).”
Quote in the paperSubstantial claim - Findingown data
Both aEA-like and aYRI-rest classes harbored numerous brain function-related signals that overlapped with the emergence of AMH over time (2-8 kga or 50k-200 kya).
“Interestingly, both classes harbored numerous brain function-related signals that overlapped with the emergence of AMH over time (2-8 kga or 50k-200 kya).”
Quote in the paperSubstantial claim - Findingown data
Positive selection signals older than 2,218 generations ago (~55.5 kya) were strongly enriched for brain function with an odds ratio of 7.53 (P = 8.08 × 10^-6, FDR = 0.0002).
“Intriguingly, the signals older than 2,218 ga (~55.5 kya) were strongly enriched for brain function with an odds ratio of 7.53 (P value = 8.08 × 10 -6 , FDR permut = 0.0002, Supplementary Fig. 11a).”
Quote in the paperSubstantial claim - Findingnone given
Signals of brain evolution in AMH are strongly related to Alzheimer's disease pathways.
“Particularly, signals of brain evolution in AMH are strongly related to Alzheimer's disease pathways.”
Quote in the paperNot a substantial claim - Findingreasoning
A much higher genomic proportion of NS was observed in YRI (~10%) than in CEU (~2.5%) and CHB (~1.9%).
“Regarding the NS signals, a much higher genomic proportion of NS was observed in YRI (~10%) than in CEU (~2.5%) and CHB (~1.9%).”
Quote in the paperSubstantial claim - Findingown data
Simulations showed that concatenated mega-sequences resulted in reduced variance and higher accuracy in estimation of recent population size compared to single sequences.
“Simulations showed that concatenated mega-sequences (100 × 30 Mb) resulted in reduced variance and higher accuracy in the estimation of recent population size compared to single sequences (Supplementary Fig. 12).”
Quote in the paperSubstantial claim - Findingown data
Overall, positive selection signals were strongly concentrated between 0.5-1.8 kga (12.5-45 kya) in CEU and CHB.
“Overall, the signals were strongly concentrated to between 0.5-1.8kga (12.5-45 kya) in CEU and CHB, corresponding to a period of migration, population founding and”
Quote in the paperSubstantial claim - Findingown data
A substantial fraction of genes involved in Nean-like selection events are related to brain function.
“As shown above, a substantial fraction of genes involved in such selection events are related to brain function, AUTS2 (18,027 ga, ~450 kya) and SLTM (17,355 ga, ~434 kya) are both involved in autism spectrum disorders (ASD), affecting communication and social interaction abilities 41,42 .”
Quote in the paperNot a substantial claim - Findingown data
A clear decline of α was detected toward the centers of coding regions (CDS).
“a clear decline of α was detected toward the centers of coding regions (CDS, Fig.2c)”
Quote in the paperNot a substantial claim - Findingown data
A series of brain function-related genes were found to carry signals of ancient selective sweeps.
“A series of brain function-related genes were found to carry signals of ancient selective sweeps”
Quote in the paperSubstantial claim - Findingown data
All these genes closely interact within a sub-network of AD pathogenesis.
“Intriguingly, all these genes closely interact within a sub-network of AD pathogenesis (Fig. 5 and Online Methods).”
Quote in the paperNot a substantial claim - Findingown data
Terms with P value < 0.05 after Benjamini correction were significantly enriched.
“Terms with P value < 0.05 after Benjamini correction were significantly enriched.”
Quote in the paperSubstantial claim - Findingown data
An obvious underestimation of selection starting time for ancient PS was observed.
“Noticing an obvious underestimation of selection starting time for ancient PS (Supplementary Fig. 17)”
Quote in the paperSubstantial claim - Study design and conductown data
The use of 1000 Genomes Project phase 1 data was supported by comparison to high-coverage data.
“The use of 1000G phase 1 data was supported by comparison to highcoverage data (Supplementary Figs. 2 and 3, Supplementary Note 1.2).”
Quote in the paperSubstantial claim - Premisecitation§ A Chronological Atlas of Natural Selection in the Human Genome during the Past Half-million Years
The latest powerful tests based on extended haplotypes are mainly sensitive to very recent events, not beyond 30,000 years ago.
“Furthermore, the latest powerful tests based on extended haplotypes were found to be mainly sensitive to very recent events, e.g.not beyond 30,000 ya 19 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] source
Not checked in the free run.
- Interpretationnone given§ A Chronological Atlas of Natural Selection in the Human Genome during the Past Half-million Years
The study presents a coalescent model-based method that simultaneously identifies genome-wide signals of positive selection, negative selection, and balancing selection, as well as neutrality.
“In this study, we present a coalescent model-based method that simultaneously identifies genome-wide signals of PS, NS, and BS (as well as neutrality).”
Quote in the paperSubstantial claim - Study design and conductown data
Simulations showed that the derived raw trees approximate the local coalescent trees.
“Simulations showed that the derived raw trees also approximate the local coalescent trees (Supplementary Fig. 4).”
Quote in the paperSubstantial claim - Study design and conductreasoning
The brain function enrichment may be confounded because many ancient signals were manually annotated based on literature review.
“It should be noted that this enrichment may be confounded as many ancient signals were manually annotated based on literature review (Supplementary Tables 171819).”
Quote in the paperSubstantial claim - Interpretationown data
This study provided a fine resolution to the recent positive selection signals.
“In fact, this study provided a fine resolution to the recent PS signals.”
Quote in the paperSubstantial claim - Interpretationreasoning
These candidate positive selection signals seem congruent with the diet specificities observed in the ancestral groups.
“These candidate PS signals therefore seem to be congruent with the diet specificities observed in the ancestral groups.”
Quote in the paperNot a substantial claim- Rests on an assumption: Identifying the actual targets of selection and determining when, how, and why selection has acted on a particular target remain daunting tasks.
- Premisecitation
AD remains arguably a disease unique to humans, as full pathological evidence of AD, particularly AD-related neurodegeneration, is lacking in great apes.
“In fact, AD remains arguably a disease unique to humans, as full pathological evidence of AD, particularly AD-related neurodegeneration, are lacking in great apes 51 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [51] source
Not checked in the free run.
- Premisecitation
A tree that is substantially compressed indicates either positive selection or negative selection.
“For example, a tree that is substantially compressed indicates either PS or NS 59 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [59] 1989, The “hitchhiking effect” revisited, Genetics source
Not checked in the free run.
- Interpretationnone given
It is possible to construct a statistical model to query the evolutionary processes behind coalescent trees when coalescent trees can be directly observed and exact demographic trajectories are given.
“Assuming that coalescent trees can be directly observed and the exact demographic trajectories are given, we demonstrated that it is possible to construct a statistical model to query the evolutionary processes behind the coalescent trees.”
Quote in the paperSubstantial claim - Premisecitation
Emerging evidence indicates AD vulnerability is strongly associated with hyperconnectivity, augmented synaptic and metabolic activities, and functional plasticity.
“Emerging evidence indicates that AD vulnerability is strongly associated with hyperconnectivity, augmented synaptic and metabolic activities, as well as functional plasticity 52 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [52] source
Not checked in the free run.
- Interpretationnone given
Nean-like signals likely represent shared selection events between Neanderthal and AMH prior to their complete divergence.
“The Nean-like signals likely represent shared selection events between Neanderthal and AMH prior to their complete divergence.”
Quote in the paperSubstantial claim - Premisecitation
The Near Eastern origin and farming-transition introduction of SLC24A5-associated skin lightening was strongly supported by a recent study based on 83 ancient DNA specimens.
“This was strongly supported by a recent study based on 83 ancient DNA specimens 53 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Mathieson, I. et al. Eight thousand years of natural selection in Europe. BioRxiv doi: http://dx.doi.org/10.1101/016477(2015).
Not checked in the free run.
- Interpretationreasoning
These genes are all involved in the cognitive abilities of social interaction and communication.
“Notably, these genes are all involved in the cognitive abilities of social interaction and communication.”
Quote in the paperNot a substantial claim - Interpretationown data
The enrichment of positive selection signals in brain function beyond 55 kya supports the notion that the human brain experienced rapid evolution before out-of-Africa.
“The enrichment of PS signals in brain function beyond 55kya supports the notion that human brain has experienced rapid evolution before OOA.”
Quote in the paperSubstantial claim - Interpretationreasoning
Based on observed general concordance between selection time estimates and aDNA evidence, the authors developed an overall chronicle of human genome adaptation based on positive selection signals, three AMH aDNA genomes, and the Neanderthal genome consensus.
“Based on the observed general concordance between the selection time estimates and aDNA evidences, we developed an overall chronicle of human genome adaptation that is based on PS signals, the three AMH aDNA genomes and the Neanderthal genome consensus 40 (Fig. 4).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] source
Not checked in the free run.
- Premisecitation
A tree that strongly elongates indicates balancing selection.
“In contrast, a tree that strongly elongates indicates BS 60 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [60] source
Not checked in the free run.
- Study design and conductown data
The selection time estimates were further supported by analyses of genome sequences from three ancient AMHs and the Neanderthals.
“These selection time estimates were further supported by analyses of the genome sequences from three ancient AMHs and the Neanderthals.”
Quote in the paperNot a substantial claim - Interpretationcitation
The T maxD estimate for YRI compared to aEA was in good agreement with radiocarbon dating for this specimen.
“When YRI was compared to aEA, a similar decline of D aDNA,MHG was detected toward the more anciently dated signals, and T maxD was estimated to be 1,898 ga (47.5 kya, Chi-square test, P = 4.2 × 10 -5 , FDR permut = 0.02, Fig. 3c), which was in good agreement with the results of radiocarbon dating for this specimen 39 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] source
Not checked in the free run.
- Interpretationreasoning
The switch from the protein-rich Paleolithic diet to the Neolithic vegetarian-based diet might have exerted pressure on creatine self-synthesis.
“The switch from the protein-rich Paleolithic diet to the Neolithic vegetarian-based diet might have exerted pressure on creatine self-synthesis.”
Quote in the paperNot a substantial claim- Rests on an assumption: Selection time estimation was restricted to a few well-studied cases, mainly due to high computational cost and lack of generalized methods.
- Rests on an assumption: Soft sweep hinders a comprehensive understanding of past positive selection events due to low test power.
- Premisenone given
Positive selection differs from negative selection in having a time-dependent coalescent rate change.
“However, PS differs from NS in having a time-dependent coalescent rate change.”
Quote in the paperSubstantial claim - Interpretationreasoning
The 5 ancient brain signals specific to AMH all seem to play important roles in AD pathogenesis.
“Surprisingly, the 5 ancient brain signals specific to AMH all seem to play important roles in AD pathogenesis.”
Quote in the paperNot a substantial claim - Premisereasoning
The coalescent process may be treated as for a standard constant population size model when using rescaled coalescent waiting times.
“Using τ i to represent the rescaled coalescent waiting time from i to i-1 ancestors, it can be shown that the coalescent process may be treated as for a standard constant population size model (Supplementary Note 2.1).”
Quote in the paperSubstantial claim - Interpretationreasoning
Strong and recent positive selection cannot be distinguished from negative selection by H1 alone, because both result in a very small value of α.
“Strong and recent PS cannot be distinguished from NS by H 1 alone, as both result in very small value of α.”
Quote in the paperSubstantial claim
- May combine two claims. 35
- Classified as probably not a substantial claim. 24
- The quote only partly states this claim. 1
May combine two claims.
Findingown dataIn YRI, the correlation between predicted and true selection times showed good linearity that persisted into the ancient time range (2,500-24,000 generations ago), although the correlation decreased slightly to 0.62.
“Particularly in YRI, the correlation showed good linearity (Fig. 1f) persisted into the ancient time range (2,500-24,000 ga), although the correlation between the predicted and true values decreased slightly (0.62, P = 1.17 × 10 -137 , Fig. 1g).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe median α score was lowest in promoter regions (0.755) and CDS (0.769), and progressively elevated in UTRs (0.800), enhancers (0.875), introns (0.932), and intergenic regions (1.008), revealing a strong negative correlation with expected functional essentiality.
“The median α score was lowest in the promoter regions (0.755) and CDS (0.769), and progressively elevated in the untranslated regions (UTRs, 0.800), enhancers (0.875), introns (0.932), and intergenic regions (1.008), revealing a strong negative correlation with the expected functional essentiality of a genomic region (Fig. 2d).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOther enriched categories include alcohol-metabolism in CHB and genes expressed in hair roots in CEU.
“Other interesting categories include alcohol-metabolism in CHB and genes expressed in hair roots in CEU (Supplementary Tables 4-6 and Online Methods).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFunctional enrichment analyses of balancing selection signals revealed involvement of MHC class II (P = 3.67 × 10^-8), cellular defense response (P = 3.86 × 10^-7), and cell-cell adhesion (P = 2.1 × 10^-5).
“Functional enrichment analyses of the BS signals revealed substantial involvement of multiple biological processes (Fig. 2e and Supplementary Tables 10-13, Online Methods), including: MHC class II (P = 3.67 × 10 -8 , Bonferroni correction); cellular defense response (P = 3.86 × 10 -7 , Bonferroni correction); and cell-cell adhesion (P = 2.1 × 10 -5 , Bonferroni correction).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRPS and APS have moderate power (26%-87%) toward recent soft sweep events, outperforming the other tests.
“Interestingly, RPS and APS also have moderate power (26%-87%) toward recent soft sweep events, clearly outperforming the other tests (Fig. 1d).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data71.3% and 62.2% of the balancing selection signals in CEU and CHB were also annotated as balancing selection in YRI.
“Notably, 71.3% and 62.2% of the BS signals in CEU and CHB were also annotated as BS in YRI.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe study identified 117, 230, and 485 candidate positive selection regions in CEU, CHB, and YRI, respectively, occupying 1.13%-2.94% of the genome.
“We identified 117, 230, and 485 candidate PS regions in CEU, CHB, and YRI, respectively (Fig. 2a,b and Supplementary Tables 123), which occupied 1.13%-2.94% of the genome.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAbundant signals of balancing selection were detected in YRI, whereas much fewer balancing selection signals were observed in CEU and CHB.
“Abundant signals of BS were detected in YRI, whereas much fewer BS signals were observed in CEU and CHB (Fig. 2a,b and Supplementary Tables 789).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCompared to several existing tests, including Tajima's D, Fay and Wu's H and iHS, only Tajima's D outperformed RPS and APS, and only around 1,000-1,500 generations ago.
“Compared to several existing tests, including Tajima's D 37 , Fay and Wu's H 38 and iHS 2 , only Tajima's D outperformed RPS and APS, and only around 1,000-1,500 ga (Fig. 1a,c).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Findingown dataIn CEU and YRI, positive selection signals were enriched for genes expressed in the pituitary gland; in CHB and YRI, for genes expressed in the appendix.
“In addition, in CEU and YRI enrichment was found for genes expressed in the pituitary gland, while enrichment for genes expressed in the appendix was observed in CHB and YRI.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe types of estimates were highly consistent either between the reconstructed and true trees or for the true trees for the different demographic scenarios.
“Results show that the types of estimates were highly consistent either between the reconstructed and true trees (Supplementary Fig. 4), or for the true trees for the different demographic scenarios (Supplementary Fig. 15).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSelection times were estimated for all positive selection signals and ranged over the last half million years, penetrating the emergence of anatomically modern human (AMH).
“Most importantly, the selection times were estimated for all positive selection signals, which ranged over the last half million years, penetrating the emergence of anatomically modern human (AMH).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe neutral simulations estimated the false positive rates of RPS and APS to be 2% and 3.5%, respectively.
“The neutral simulations estimated the false positive rates of RPS and APS to be 2% and 3.5%, respectively.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Findingown dataA more stringent threshold was applied to balancing selection due to an excessive upper tail in the empirical distribution.
“A more stringent threshold was applied to BS due to an excessive upper tail in the empirical distribution.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenThe specific biological processes in the stress response category include response to wounding, inflammatory response, and defense response to other organism.
“The specific biological processes in this category include response to wounding, inflammatory response and defense response to other organism.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationNumerous well-established positive selection signals were re-captured, including SLC24A5, LCT, EDAR, ADH gene cluster, CCR5, and LARGE; their estimated times of selection were mostly consistent with previous reports.
“Numerous well established PS signals were re-captured such as SLC24A5, LCT, EDAR, ADH gene cluster, CCR5, and LARGE; and their estimated times of selection were mostly consistent with previous reports 13,[15][16][17] .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [13] source
Not checked in the free run.
- cites [15][16][17]
Not checked in the free run.
May combine two claims.
Findingown dataThe haplotype profile of SLC24A5 in CEU revealed high affinity to aFM (D aFM,MHG = 2) and substantial distance to aHG (D aHG,MHG = 28).
“Interestingly, the haplotype profile of SLC24A5 in CEU revealed a high affinity to aFM (D aFM,MHG = 2) and a substantial distance to aHG (D aHG,MHG = 28), as suggests that skin lightening associated with SLC24A5 originated from Near East, and likely was introduced into ancient Europeans via farming transition.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationSPON1, MAPT, SNCA, SORL1, SHC3, and ELAVL4 were mapped to a protein-protein interaction (PPI) network.
“SPON1, MAPT, SNCA, SORL1, SHC3, and ELAVL4 were mapped to a protein-protein interaction (PPI) network 69 (Figure 5).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn YRI, PS signals were classified, as shown in Supplementary Table 20.
“Supplementary Table 20 shows the classified PS signals in YRI.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ A Chronological Atlas of Natural Selection in the Human Genome during the Past Half-million YearsA new class of methods bases population genetic inference on reconstructed coalescent information and has promising test power and resolution for inferring selection.
“In the last few years, a new class of methods has emerged, which base the population genetic inference on reconstructed coalescent information 23,33,34 .These methods manifested promising test power and resolution for inferring selection, as the genome-wide coalescent trees provide a complete record of genealogies, mutations, and recombination 33 .”
Quote in the paperSubstantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
Premisecitation§ A Chronological Atlas of Natural Selection in the Human Genome during the Past Half-million YearsPositive selection events older than 250,000 years ago might not leave detectable signatures given conventional test frameworks.
“It was argued that PS events older than 250,000 ya might not leave detectable signatures given the conventional test frameworks 20,21 .”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
Study design and conductreasoningThe raw trees were controlled for reconstruction errors and rescaled into a coalescent time scale, eliminating effects of population size variation.
“The raw trees were consequently controlled for reconstruction errors and rescaled into a coalescent time scale, where effects of population size variation were eliminated (Online Methods).”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningRescaled neutral trees follow a standard constant-size coalescent distribution, so selection events can be detected as altered coalescent patterns.
“Rescaled neutral trees follow a standard constant-size coalescent distribution; therefore, various selection events can be detected as altered coalescent patterns.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThese estimated times are substantially older than the radiocarbon-dated times of the aDNA specimens, potentially due to a tendency to overestimate selection time in empirical CEU data.
“These estimated times are substantially older than the radiocarbondated times of the aDNA specimens, potentially due to a tendency to overestimate the selection time in empirical CEU data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationFor the Neanderthal sequence, all sites with genotype quality < 40 and mapping quality < 30 were removed.
“For the Neanderthal sequence, we removed all sites with genotype quality < 40, and mapping quality < 30, as done previously 67 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [67] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSLC24A5 plays a pivotal role in skin pigmentation lightening in Europeans.
“SLC24A5 was shown to play a pivotal role in skin pigmentation lightening in Europeans 10 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe efficacy of the correction was evaluated in simulations on 10 models of population size change over time.
“The efficacy of correction was evaluated in simulations on 10 models of population size change over time (Supplementary Fig. 14 and Supplementary Note 3.1).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationELAVL4 encodes HuD, a neuron-specific RNA-binding protein that regulates spatiotemporal activation of neuronal mRNAs and affects neuronal development and plasticity, learning, and memory.
“ELAVL4 (2,556 ga, ~64 kya) encodes HuD, a neuron-specific RNA-binding protein that regulates the spatiotemporal activation of neuronal mRNAs, and affects neuronal development and plasticity, learning, and memory 48 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] source
Not checked in the free run.
May combine two claims.
PremisecitationAUTS2 and SLTM are both involved in autism spectrum disorders, affecting communication and social interaction abilities.
“AUTS2 (18,027 ga, ~450 kya) and SLTM (17,355 ga, ~434 kya) are both involved in autism spectrum disorders (ASD), affecting communication and social interaction abilities 41,42 .”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Interpretationown dataSkin lightening associated with SLC24A5 originated from the Near East and was likely introduced into ancient Europeans via farming transition.
“Interestingly, the haplotype profile of SLC24A5 in CEU revealed a high affinity to aFM (D aFM,MHG = 2) and a substantial distance to aHG (D aHG,MHG = 28), as suggests that skin lightening associated with SLC24A5 originated from Near East, and likely was introduced into ancient Europeans via farming transition.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenOne possible reason for the lower NS proportion in non-African populations is that ancient signals of coalescent compression were eliminated by bottlenecks in non-African populations.
“One possible reason is that ancient signals of coalescent compression were eliminated by bottlenecks in non-African populations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe study compared TMRCA estimation and population inferences between low-coverage 1000G and high-coverage Complete Genomics data for a few individuals.
“To investigate the potential impact of such low coverage, for a few individuals that have been sequenced both at low coverage in 1000G and high coverage in Complete Genomics 56 , we compared the TMRCA estimation and population inferences between the two (Supplementary Note 1.2).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [56] source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenUnder neutrality and assuming exact tree inference, the estimator of coalescent scaling coefficient α (α*) follows a distribution with a median approximately at 1.
“Under neutrality and assuming exact tree inference, the estimator of coalescent scaling coefficient α (α * ) follows 1 1, 1 n n ⎛ ⎞ Γ - ⎜ ⎟ - ⎝ ⎠ , with a median approximately at 1.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Exact tree inference is assumed when deriving the estimator of coalescent scaling coefficient α.
May combine two claims.
Interpretationown dataThe brain function-related genes carrying ancient selective sweep signals may have defined the evolution of cognitive abilities either before Neanderthal divergence or during the emergence of AMH.
“which may have defined the evolution of cognitive abilities either before Neanderthal divergence or during the emergence of AMH.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMAPT encodes the tau protein that assembles and stabilizes the microtubule framework of neurons; non-specific aggregation of tau is the hallmark of AD.
“MAPT (3,078 ga, ~77 kya) encodes the tau protein that assembles and stabilizes the microtubule framework of neurons.Non-specific aggregation of tau is the hallmark of AD 47 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationFor a population of varying population size, with initial effective population size N0 and effective population size Ne(t), and n individuals sampled at present, it is possible to define the rescaled coalescent time as in Equation 1.
“For a population of varying population size, with initial effective population size N 0 and effective population size N e (t), assuming n individuals sampled at present, Griffiths and Tavaré 57,58 showed that it is possible to define the rescaled coalescent time as follows:”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Griffiths and Tavaré 57,58
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenPositive selection signals in the aFM-like class might have contributed to early agriculture transition.
“PS signals in the aFM-like class might have contributed to early agriculture transition.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenSites included for analysis were required to have a minimum root-mean-square mapping quality of MQ ≥ 30.
“Sites included for analysis were required to have a minimum root-mean-square mapping quality of MQ ≥ 30.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). The quote only partly states this claim.
Interpretationnone givenIn the constant-size demography scenario with Ne of 10,000, setting sample sizes for Tajima's D, Fay and Wu's H, and iHS tests at 120 would render better performance for tests sensitive to small sample sizes such as iHS.
“In this scenario, the sample sizes for Tajima's D, Fay and Wu's H, and iHS tests were set at 120, which would render better performance for tests sensitive to small sample sizes such as iHS.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenSuccessful detection of selection relies on proper tree construction and rescaling, and UPGMA and PSMC may both introduce estimation errors during this process.
“Successful detection of selection relies on proper tree construction and rescaling; UPGMA and PSMC may both introduce estimation errors during this process.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThorough filtering was performed on haploid genome sequences to ensure high-quality data.
“To ensure high-quality data, thorough filtering was performed on the haploid genome sequences.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe sudden increase of positive selection signals in stress response in YRI seems to strongly coincide with the emergence of agriculture, likely due to expanded spectra of pathogens and parasites brought by dense dwelling, irrigation and livestock raising.
“For the more recent history, the sudden increase of PS signals in stress response in YRI seems to strongly coincide with the emergence of agriculture, likely due to the expanded spectra of pathogens and parasites brought by dense dwelling, irrigation and livestock raising.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSNCA encodes alpha-synuclein, plays an important role in neurotransmitter release and inter-neuronal signaling, and is associated with AD.
“SNCA (2,234 ga, ~56 kya) encodes the alpha-synuclein protein and plays an important role in the release of neurotransmitters and inter-neuronal signaling, and is also associated with AD 49 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [49] source
Not checked in the free run.
May combine two claims.
PremisecitationSHC3 is almost brain-specific, highly expressed in the cerebral cortex and frontal and temporal lobes, regulates neuronal survival, and protects the CNS against environmental stresses.
“SHC3 (7,586 ga, ~189 kya) is almost brain-specific, highly expressed in the cerebral cortex and frontal and temporal lobes, regulates neuronal survival, and protects the CNS against environmental stresses 44 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] source
Not checked in the free run.
May combine two claims.
PremisecitationRNF180 regulates brain levels of monoamine oxidase A (MAO-A) and affects emotional and social behaviors via the serotonin pathway.
“RNF180 (16,601 ga, ~415 kya) regulates the brain levels of monoamine oxidase A (MAO-A) and affects emotional and social behaviors via the serotonin pathway 43 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSORL1 is a neuronal endocytic receptor that regulates the recycling of APP from the cell surface.
“SORL1 (3,285 ga, ~82 kya) is a neuronal endocytic receptor that regulates the recycling of APP from the cell surface 46 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
PremisereasoningUnder neutrality, τi and τj are independent given i ≠ j, and therefore τi is exchangeable across different trees for the same ith interval without affecting the global neutral distribution.
“Under neutrality, τ i and τ j are independent, given i ≠ j.Therefore τ i is exchangeable across different trees for the same ith interval, without affecting the global neutral distribution.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAmong aFM-aHG common signals, DGKZ, SLC44A1, PITPNB, and ACSL6 are involved in lipid metabolism, and CDH8 is related to the response to cold and may be involved in climate adaptation.
“Among these, DGKZ, SLC44A1, PITPNB, and ACSL6 are involved in lipid metabolism, and CDH8 is related to the response to cold 50 and may be involved in climate adaptation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] source
Not checked in the free run.
May combine two claims.
Study design and conductown dataThe corrected time estimation was thoroughly evaluated in simulations and applied on empirical data.
“The corrected time estimation was thoroughly evaluated in simulations (Supplementary Fig. 1e-1g and Supplementary Fig. 8) and applied on empirical data.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe study simulated an increased density of polymorphic sites by elevating the mutation rate to test the power to detect balancing selection (BS).
“To test the power to detect BS, we simulated an increased density of polymorphic sites by elevating the mutation rate.”
Quote in the paperNot a substantial claim- Rests on an assumption: Increased genetic diversity that results in more deeply structured coalescent trees is the signature of balancing selection (BS).
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe distribution of distance between the estimated and true centers of selection is shown in Supplementary Figure 16.
“The distribution of distance between the estimated and true centers of selection is shown in Supplementary Figure 16.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenWhen PS events were more ancient, whole tree compression was not so evident, but the time dependence of the coalescent rate persisted.
“when the PS events were more ancient, the whole tree compression was not so evident, but the time dependence of the coalescent rate persisted”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationGenome regions affected by recent positive selection have extensive LD.
“In view of extensive LD in genome regions affected by recent positive selection 2,5”
Quote in the paperSubstantial claim0 of 2 sources checked
The authors state this as an assumption.
Negative and balancing selection may be described by trees of globally enhanced or decreased coalescent rates.
“In brief, NS/BS may be described by trees of globally enhanced/decreased coalescent rates.”
The authors state this as an assumption.
Positive selection exhibits a sudden increase in the coalescent rate, and the time of this increase approximates the starting time of selection.
“On the other hand, PS exhibits a sudden increase in the coalescent rate, the time of which should approximate the starting time of selection (Online Methods).”
The authors state this as an assumption.
Rescaled neutral trees follow a standard constant-size coalescent distribution.
“Rescaled neutral trees follow a standard constant-size coalescent distribution; therefore, various selection events can be detected as altered coalescent patterns.”
The paper relies on this without support.
Selection time estimation was restricted to a few well-studied cases, mainly due to high computational cost and lack of generalized methods.
“However, selection time estimation was restricted to a few wellstudied cases, mainly due to the high computational cost and lack of generalized methods.”
The paper relies on this without support.
Soft sweep hinders a comprehensive understanding of past positive selection events due to low test power.
“Finally, soft sweep, a mode of positive selection where selection acts on multiple standing variants, also hinders a comprehensive understanding of the past PS events due to low test power.”
The paper relies on this without support.
Identifying the actual targets of selection and determining when, how, and why selection has acted on a particular target remain daunting tasks.
“Still, while genome scans provide lists of candidate loci, identifying the actual targets of selection and determining when, how, and why selection has acted on a particular target remain daunting tasks.”
The paper relies on this without support.
Galactose is primarily found in dairy food, grains, and vegetables, whereas sorbitol mainly exists in fruits.
“Interestingly, galactose is primarily found in dairy food, grains, and vegetables, whereas sorbitol mainly exists in fruits.”
The paper relies on this without support.
Creatine is essential for energy buffering in vertebrate cells, especially in muscles, and may also be supplied from carnivorous diets.
“Creatine is essential for energy buffering in vertebrate cells, especially in muscles, and it may also be supplied from carnivorous diets.”
The paper relies on this without support.
GATM encodes glycine amidinotransferase, a key enzyme for the synthesis of creatine in the human body.
“Among the aFM-like signals, GATM (1,020 ga, ~25 kya) encodes glycine amidinotransferase, a key enzyme for the synthesis of creatine in the human body.”
The paper relies on this without support.
GALK2 encodes galactokinase, an enzyme responsible for the conversion of galactose to glucose.
“GALK2 is an aFM-like candidate gene (623 ga, ~15.6 kya) that encodes galactokinase, which is an enzyme responsible for the conversion of galactose to glucose.”
The paper relies on this without support.
SORD encodes sorbitol dehydrogenase, which catalyzes the conversion of sorbitol to fructose.
“SORD encodes sorbitol dehydrogenase, which catalyzes the conversion of sorbitol to fructose.”
The authors state this as an assumption.
Under neutrality, coalescent occurs at a constant rate of (i choose 2) when there are i ancestors.
“Under neutrality, coalescent occurs at a constant rate of 2 i ⎛ ⎞ ⎜ ⎟ ⎝ ⎠ when there are i ancestors.”
The authors state this as an assumption.
The overall genome coalescent profile is neutral and therefore should fit the H0 distribution.
“It assumes that the overall genome coalescent profile is neutral and therefore should fit the H 0 distribution.”
The authors state this as an assumption.
Time rescaling is assumed for the rest of the section.
“Time rescaling is assumed for the rest of this section.”
The authors state this as an assumption.
Exact tree inference is assumed when deriving the estimator of coalescent scaling coefficient α.
“Under neutrality and assuming exact tree inference”
The paper relies on this without support.
Hitchhiking during a selective sweep results in progressively decreasing diversity toward the selection center.
“Since hitchhiking during a selective sweep results in progressively decreasing diversity toward the selection center”
The paper relies on this without support.
A recent PS is expected to affect both temporal (H2 signature) and global coalescent rates (H1 signature).
“A recent PS is expected to affect both temporal (H 2 signature) and global coalescent rates (H 1 signature).”
The paper relies on this without support.
Increased genetic diversity that results in more deeply structured coalescent trees is the signature of balancing selection (BS).
“Increased genetic diversity that results in more deeply structured coalescent trees is the signature of BS.”
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?
In our dataset, several genes carrying HHMCs and associated with basal ganglia functions stand out, like SLITRK1 and NOVA1.
“in our dataset, several genes carrying HHMCs and associated with basal ganglia functions (critical for language and cognition) stand out, like SLITRK1114 and NOVA136,115–118 (Supplementary Information 4).”
From A catalog of single nucleotide changes distinguishing modern humans from archaic hominins (2019) · cites this paper as [36]
The HHMC in NCOA6 is located nearby and three 5′-UTR variants within a putatively selected region, with an estimated time of selection at around 150 kya.
“The HHMC is located nearby and three 5′-UTR variants within a putatively selected region36, with an estimated time of selection at around 150 kya (assuming a slow mutation rate).”
From A catalog of single nucleotide changes distinguishing modern humans from archaic hominins (2019) · cites this paper as [36]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
BS threshold is also assigned to the α < 1 class
MinorThe BS rule applies D b 10 when α > 1, but the subsequent definition says D b 10 is the threshold for α < 1.
“A tree is called a BS signal when the coalescent scaling coefficient α > 1 and D 10 > D b 10 , where D b 10 is the threshold for BS.”
“D b 10 is the threshold to reject neutrality for α < 1.”
Identical threshold conditions classify a tree as both PS and NS
MinorThe stated RPS rule calls a tree a PS signal when D 21 exceeds D rp 21, then calls it NS under that same threshold condition. The two classifications cannot be distinguished by the rule as written.
“A tree is called a PS signal when α < 1, D 10 > D pn 10 , and D 21 > D rp 21”
“(called NS when D 21 > D rp 21 )”
Cites
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888 · see citing works
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · see citing works
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890 · see citing works
PHYLIP-Phylogeny inference package (Version 3.2)
Felsenstein, J. (1989) · Cladistics · Cited by 17,848 · see citing works
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108 · see citing works
Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.
Tajima, F. (1989) · Genetics · doi:10.1093/genetics/123.3.585 · Cited by 13,991 · see citing works
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 · see citing works
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 · see citing works
The hitch-hiking effect of a favourable gene
Smith, J. M., & Haigh, J. (1974) · Genetical Research · doi:10.1017/s0016672300014634 · Cited by 3,415 · see citing works
Human Protein Reference Database--2009 update
Prasad, T. S. K., Goel, R., Kandasamy, K., Keerthikumar, S., Kumar, S., Mathivanan, S., Telikicherla, D., Raju, R., Shafreen, R. B., Venugopal, A., et al. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn892 · Cited by 3,205 · see citing works
A Map of Recent Positive Selection in the Human Genome
Voight, B. F., Kudaravalli, S., Wen, X., & Pritchard, J. K. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040072 · Cited by 2,912 · see citing works
Buckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862 · see citing works
Inference of human population history from individual whole-genome sequences
Li, H., & Durbin, R. (2011) · Nature · doi:10.1038/nature10231 · Cited by 2,590 · see citing works
Large-scale gene function analysis with the PANTHER classification system
Mi, H., Muruganujan, A., Casagrande, J. T., & Thomas, P. D. (2013) · Nature Protocols · doi:10.1038/nprot.2013.092 · Cited by 2,422 · see citing works
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 · see citing works
Self-citationGenome-wide detection and characterization of positive selection in human populations
The International HapMap Consortium, Sabeti, P. C., Varilly, P., Fry, B., Lohmueller, J., Hostetter, E., Cotsapas, C., Xie, X., Byrne, E. H., McCarroll, S. A., et al. (2007) · Nature · doi:10.1038/nature06250 · Cited by 2,131 · see citing works
A high-coverage genome sequence from an archaic denisovan individual
Meyer, M., Kircher, M., Gansauge, M.-T., Li, H., Racimo, F., Mallick, S., Schraiber, J. G., Jay, F., Prüfer, K., de Filippo, C., et al. (2012) · Science · doi:10.1126/science.1224344 · Cited by 1,967 · see citing works
Self-citationGenome-wide association study reveals genetic risk underlying Parkinson's disease
Simón‐Sánchez, J., Schulte, C., Brás, J., Sharma, M., Gibbs, J. R., Berg, D., Paisán‐Ruiz, C., Lichtner, P., Scholz, S. W., Hernandez, D. G., et al. (2009) · Nature Genetics · doi:10.1038/ng.487 · Cited by 1,916 · see citing works
Hitchhiking Under Positive Darwinian Selection
Fay, J. C., & Wu, C.-I. (2000) · Genetics · doi:10.1093/genetics/155.3.1405 · Cited by 1,819 · see citing works
Genome-wide patterns of selection in 230 ancient Eurasians
Mathieson, I., Lazaridis, I., Rohland, N., Mallick, S., Patterson, N., Roodenberg, S. A., Harney, E., Stewardson, K., Fernandes, D., Novak, M., et al. (2015) · Nature · doi:10.1038/nature16152 · Cited by 1,515 · see citing works
Diet and the evolution of human amylase gene copy number variation
Perry, G. H., Dominy, N. J., Claw, K. G., Lee, A. S., Fiegler, H., Redon, R., Werner, J., Villanea, F. A., Mountain, J. L., Misra, R., et al. (2007) · Nature Genetics · doi:10.1038/ng2123 · Cited by 1,467 · see citing works
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 · see citing works
Self-citationHuman Genome Sequencing Using Unchained Base Reads on Self-Assembling DNA Nanoarrays
Drmanac, R., Sparks, A. B., Callow, M. J., Halpern, A. L., Burns, N. L., Kermani, B. G., Carnevali, P., Nazarenko, I., Nilsen, G. B., Yeung, G., et al. (2010) · Science · doi:10.1126/science.1181498 · Cited by 1,212 · see citing works
Altitude adaptation in Tibetans caused by introgression of Denisovan-like DNA
Huerta-Sánchez, E., Jin, X., Asan, Bianba, Z., Peter, B. M., Vinckenbosch, N., Liang, Y., Yi, X., He, M., Somel, M., et al. (2014) · Nature · doi:10.1038/nature13408 · Cited by 1,208 · see citing works
The neuronal sortilin-related receptor SORL1 is genetically associated with Alzheimer disease
Rogaeva, E., Meng, Y., Lee, J. H., Gu, Y., Kawarai, T., Zou, F., Katayama, T., Baldwin, C. T., Cheng, R., Hasegawa, H., et al. (2007) · Nature Genetics · doi:10.1038/ng1943 · Cited by 1,167 · see citing works
Positive Natural Selection in the Human Lineage
Sabeti, P. C., Schaffner, S. F., Fry, B., Lohmueller, J., Varilly, P., Shamovsky, O., Palma, A., Mikkelsen, T. S., Altshuler, D., & Lander, E. S. (2006) · Science · doi:10.1126/science.1124309 · Cited by 1,157 · see citing works
A high-resolution map of human evolutionary constraint using 29 mammals
Broad Institute Sequencing Platform and Whole Genome Assembly Team, Lindblad-Toh, K., Baylor College of Medicine Human Genome Sequencing Center Sequencing Team, Genome Institute at Washington University, Garber, M., Zuk, O., Lin, M. F., Parker, B. J., Washietl, S., Kheradpour, P., et al. (2011) · Nature · doi:10.1038/nature10530 · Cited by 1,108 · see citing works
Identification of deleterious mutations within three human genomesPreprint
Chun, S., & Fay, J. C. (2009) · Genome Research · doi:10.1101/gr.092619.109 · Cited by 1,101 · see citing works
Genetic signatures of strong recent positive selection at the lactase gene.
Bersaglieri, T., Sabeti, P. C., Patterson, N., VanderPloeg, T., Schaffner, S., Drake, J. A., Rhodes, M., Reich, D., & Hirschhorn, J. (2004) · American Journal of Human Genetics · doi:10.1086/421051 · Cited by 1,098 · see citing works
The “hitchhiking effect” revisited
Kaplan, N. L., Hudson, R. R., & Langley, C. H. (1989) · Genetics · doi:10.1093/genetics/123.4.887 · Cited by 1,076 · see citing works
SLC24A5, a putative cation exchanger, affects pigmentation in zebrafish and humans
Lamason, R. L., Mohideen, M.-A. P. K., Mest, J. R., Wong, A. C., Norton, H. L., Aros, M. C., Jurynec, M. J., Mao, X., Humphreville, V. R., Humbert, J. E., et al. (2005) · Science · doi:10.1126/science.1116238 · Cited by 1,043 · see citing works
Genome sequence of a 45,000-year-old modern human from western Siberia
Fu, Q., Li, H., Moorjani, P., Jay, F., Slepchenko, S. M., Bondarev, A. A., Johnson, P. L. F., Aximu-Petri, A., Prüfer, K., de Filippo, C., et al. (2014) · Nature · doi:10.1038/nature13810 · Cited by 1,023 · see citing works
Self-citationA Scan for Positively Selected Genes in the Genomes of Humans and Chimpanzees
Nielsen, R., Bustamante, C. D., Clark, A. G., Glanowski, S., Sackton, T. B., Hubisz, M. J., Fledel-Alon, A., Tanenbaum, D. M., Civello, D., White, T. J., et al. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030170 · Cited by 998 · see citing works
Sampling theory for neutral alleles in a varying environment
Griffiths, R., & Tavaré, S. (1994) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1994.0079 · Cited by 589 · see citing works
The Origins of Lactase Persistence in Europe
Itan, Y., Powell, A., Beaumont, M. A., Burger, J., & Thomas, M. G. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000491 · Cited by 569 · see citing works
Alzheimer's disease – do tauists and baptists finally shake hands?
Mudher, A. K., & Lovestone, S. (2002) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)02031-2 · Cited by 512 · see citing works
The Signature of Positive Selection at Randomly Chosen Loci
Przeworski, M. (2002) · Genetics · doi:10.1093/genetics/160.3.1179 · Cited by 509 · see citing works
Localizing Recent Adaptive Evolution in the Human Genome.
Williamson, S. H., Hubisz, M. J., Clark, A. G., Payseur, B. A., Bustamante, C. D., & Nielsen, R. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030090 · Cited by 507 · see citing works
A new approach for using genome scans to detect recent positive selection in the human genome
Tang, K., Thornton, K. R., & Stoneking, M. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050171 · Cited by 489 · see citing works
Self-citationThe coalescent process in models with selection and recombination.
Hudson, R. R., & Kaplan, N. L. (1988) · Genetics · doi:10.1093/genetics/120.3.831 · Cited by 434 · see citing works
Classic Selective Sweeps Were Rare in Recent Human Evolution
Hernandez, R. D., Kelley, J. L., Elyashiv, E., Melton, S., Auton, A., McVean, G., 1000 Genomes Project, Sella, G., & Przeworski, M. (2011) · Science · doi:10.1126/science.1198878 · Cited by 427 · see citing works
A genetic mechanism for Tibetan high-altitude adaptation
Lorenzo, F., Huff, C. D., Myllymäki, M., Olenchock, B. A., Swierczek, S. I., Tashi, T., Gordeuk, V. R., Wuren, T., Ge, R., McClain, D. A., et al. (2014) · Nature Genetics · doi:10.1038/ng.3067 · Cited by 422 · see citing works
Miller, C. T., Beleza, S., Pollen, A. A., Schluter, D., Kittles, R. A., Shriver, M. D., & Kingsley, D. M. (2007) · Cell · doi:10.1016/j.cell.2007.10.055 · Cited by 388 · see citing works
Genome-Wide Inference of Ancestral Recombination Graphs
Rasmussen, M. D., Hubisz, M. J., Gronau, I., & Siepel, A. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004342 · Cited by 371 · see citing works
Identifying Recent Adaptations in Large-Scale Genomic Data
Grossman, S. R., Andersen, K. G., Shlyakhter, I., Tabrizi, S., Winnicki, S., Yen, A., Park, D. J., Griesemer, D., Karlsson, E. K., Wong, S. H., et al. (2013) · Cell · doi:10.1016/j.cell.2013.01.035 · Cited by 368 · see citing works
Global landscape of recent inferred Darwinian selection for Homo sapiens
Wang, E. T., Kodama, G., Baldi, P., & Moyzis, R. K. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509691102 · Cited by 367 · see citing works
On Detecting Incomplete Soft or Hard Selective Sweeps Using Haplotype Structure
Ferrer-Admetlla, A., Liang, M., Korneliussen, T. S., & Nielsen, R. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/msu077 · Cited by 362 · see citing works
Ewing, G. B., & Hermisson, J. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq322 · Cited by 349 · see citing works
Multiple Instances of Ancient Balancing Selection Shared Between Humans and Chimpanzees
Leffler, E. M., Gao, Z., Pfeifer, S. P., Ségurel, L., Auton, A., Venn, O., Bowden, R. J., Bontrop, R. E., Wall, J. D., Sella, G., et al. (2013) · Science · doi:10.1126/science.1234070 · Cited by 326 · see citing works
Modeling Recent Human Evolution in Mice by Expression of a Selected EDAR Variant
Kamberov, Y. G., Wang, S., Tan, J., Gerbault, P., Wark, A. R., Tan, L., Yang, Y., Li, S., Tang, K., Chen, H., et al. (2013) · Cell · doi:10.1016/j.cell.2013.01.016 · Cited by 269 · see citing works
Self-citationTargets of Balancing Selection in the Human Genome
Andrés, A. M., Hubisz, M. J., Indap, A. R., Torgerson, D. G., Degenhardt, J. D., Boyko, A. R., Gutenkunst, R. N., White, T. J., Green, E. D., Bustamante, C. D., et al. (2009) · Molecular Biology and Evolution · doi:10.1093/molbev/msp190 · Cited by 258 · see citing works
Wilde, S., Timpson, A., Kirsanow, K., Kaiser, E., Kayser, M., Unterländer, M., Hollfelder, N., Potekhina, I. D., Schier, W., Thomas, M. G., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316513111 · Cited by 257 · see citing works
Ho, A., & Südhof, T. C. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308655100 · Cited by 224 · see citing works
Genomic signatures of positive selection in humans and the limits of outlier approachesPreprint
Kelley, J. L., Madeoy, J. J., Calhoun, J. C., Swanson, W. J., & Akey, J. M. (2006) · Genome Research · doi:10.1101/gr.5157306 · Cited by 218 · see citing works
Evidence of Abundant Purifying Selection in Humans for Recently Acquired Regulatory Functions
Ward, L. D., & Kellis, M. (2012) · Science · doi:10.1126/science.1225057 · Cited by 209 · see citing works
A flexible forward simulator for populations subject to selection and demography
Hernandez, R. D. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn522 · Cited by 208 · see citing works
A Model-Based Approach for Identifying Signatures of Ancient Balancing Selection in Genetic Data
DeGiorgio, M., Lohmueller, K. E., & Nielsen, R. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004561 · Cited by 187 · see citing works
Genome-wide association study of the rate of cognitive decline in Alzheimer’s disease
Sherva, R., Tripodis, Y., Bennett, D. A., Chibnik, L. B., Crane, P. K., de Jager, P. L., Farrer, L. A., Saykin, A. J., Shulman, J. M., Naj, A., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.01.008 · Cited by 180 · see citing works
Amambua‐Ngwa, A., Tetteh, K. K. A., Manske, M., Gomez‐Escobar, N., Stewart, L. B., Deerhake, M. E., Cheeseman, I. H., Newbold, C., Holder, A. A., Knuepfer, E., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002992 · Cited by 166 · see citing works
The timing of pigmentation lightening in Europeans
Beleza, S., Santos, A. M., McEvoy, B., Alves, I., Martinho, C., Cameron, E., Shriver, M. D., Parra, E. J., & Rocha, J. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mss207 · Cited by 156 · see citing works
The role of AUTS2 in neurodevelopment and human evolution
Oksenberg, N., & Ahituv, N. (2013) · Trends in Genetics · doi:10.1016/j.tig.2013.08.001 · Cited by 153 · see citing works
Widespread balancing selection and pathogen-driven selection at blood group antigen genesPreprint
Fumagalli, M., Cagliani, R., Pozzoli, U., Riva, S., Comi, G. P., Menozzi, G., Bresolin, N., & Sironi, M. (2008) · Genome Research · doi:10.1101/gr.082768.108 · Cited by 153 · see citing works
What fraction of the human genome is functional?Preprint
Ponting, C. P., & Hardison, R. C. (2011) · Genome Research · doi:10.1101/gr.116814.110 · Cited by 152 · see citing works
Bronicki, L. M., & Jasmin, B. J. (2013) · RNA · doi:10.1261/rna.039164.113 · Cited by 126 · see citing works
Widely distributed noncoding purifying selection in the human genome
Asthana, S., Noble, W. S., Kryukov, G. V., Grant, C. E., Sunyaev, S. R., & Stamatoyannopoulos, J. A. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705140104 · Cited by 97 · see citing works
Suzuki, S. C., Furue, H., Koga, K., Jiang, N., Nohmi, M., Shimazaki, Y., Fukui, Y., Yokoyama, M., Yoshimura, M., & Takeichi, M. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0243-07.2007 · Cited by 85 · see citing works
Properties of NACP/α-synuclein and its role in Alzheimer’s disease
Iwai, A. (2000) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/s0925-4439(00)00036-3 · Cited by 80 · see citing works
Commentary: is Alzheimer's disease uniquely human?
Finch, C. E., & Austad, S. N. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.10.025 · Cited by 72 · see citing works
The coalescent process in models with selection, recombination and geographic subdivision
Kaplan, N., Hudson, R. R., & Iizuka, M. (1991) · Genetical Research · doi:10.1017/s0016672300029074 · Cited by 71 · see citing works
The ages of mutations in gene trees
Griffiths, R., & Tavaré, S. (1999) · The Annals of Applied Probability · doi:10.1214/aoap/1029962804 · Cited by 55 · see citing works
Variants in several genomic regions associated with asperger disorder
Salyakina, D., Ma, D. Q., Jaworski, J. M., Konidari, I., Whitehead, P. L., Henson, R., Martinez, D. M., Robinson, J. L., Sacharow, S. J., Wright, H. H., et al. (2010) · Autism Research · doi:10.1002/aur.158 · Cited by 44 · see citing works
Troglio, F., Echart, C., Gobbi, A., Pawson, T. J., Pelicci, P. G., Simoni, M. G. D., & Pelicci, G. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403283101 · Cited by 41 · see citing works
Rines E3 Ubiquitin Ligase Regulates MAO-A Levels and Emotional Responses
Kabayama, M., Sakoori, K., Yamada, K., Ornthanalai, V. G., Ota, M., Morimura, N., Katayama, K., Murphy, N. P., & Aruga, J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5717-12.2013 · Cited by 30 · see citing works
Wang, M., Huang, X., Li, R., Xu, H., Li, J., & He, Y. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/msu244 · Cited by 24 · see citing works
Self-citation
Flagged first, then by citations
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Sorted by citations
Deep Learning for Population Genetic Inference
Sheehan, S., & Song, Y. S. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004845 · Cited by 245 · see citing works
McManus, K. F., Oill, A. M. T., Henn, B. M., Bustamante, C. D., Sikora, M., & Cornejo, O. E. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006560 · Cited by 112 · see citing works
A catalog of single nucleotide changes distinguishing modern humans from archaic hominins
Kuhlwilm, M., & Boeckx, C. (2019) · Scientific Reports · doi:10.1038/s41598-019-44877-x · Cited by 108 · see citing works
Language Impairments in ASD Resulting from a Failed Domestication of the Human Brain
Benítez‐Burraco, A., Lattanzi, W., & Murphy, E. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00373 · Cited by 61 · see citing works
A four-stage model for language evolution under the effects of human self-domestication
Benítez‐Burraco, A., & Progovac, L. (2020) · Language & Communication · doi:10.1016/j.langcom.2020.03.002 · Cited by 64 · see citing works
Diametrical diseases reflect evolutionary-genetic tradeoffs
Crespi, B. J., & Go, M. C. (2015) · Evolution Medicine and Public Health · doi:10.1093/emph/eov021 · Cited by 64 · see citing works
Murphy, E., & Benítez‐Burraco, A. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.029 · Cited by 64 · see citing works
Glutamate receptors in domestication and modern human evolution
O’Rourke, T., & Boeckx, C. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.10.004 · Cited by 50 · see citing works
Schizophrenia and Human Self-Domestication: An Evolutionary Linguistics Approach
Benítez‐Burraco, A., Pietro, L. D., Barba, M., & Lattanzi, W. (2017) · Brain Behavior and Evolution · doi:10.1159/000468506 · Cited by 37 · see citing works
García-Pérez, R., Esteller-Cucala, P., Mas, G., Lobon, I., Carlo, V. D., Riera, M., Kuhlwilm, M., Navarro, A., Blancher, A., Croce, L. D., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23397-1 · Cited by 33 · see citing works
RENT+: an improved method for inferring local genealogical trees from haplotypes with recombination
Mirzaei, S., & Wu, Y. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw735 · Cited by 31 · see citing works
Amyloid β: Walking on the dark side of the moon
Fedele, E., Rivera, D., Marengo, B., Pronzato, M. A., & Ricciarelli, R. (2015) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2015.09.001 · Cited by 23 · see citing works
Evolving evidence on a link between the ZMYM3 exceptionally long GA-STR and human cognition
Afshar, H., Khamse, S., Alizadeh, F., Delbari, A., Najafipour, R., Bozorgmehr, A., Khazaei, M., Adelirad, F., Alizadeh, A., Kowsari, A., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-76461-z · Cited by 22 · see citing works
Grammaticalization and language evolution: Focusing the debate
Benítez‐Burraco, A. (2017) · Language Sciences · doi:10.1016/j.langsci.2017.03.003 · Cited by 21 · see citing works
Andirkó, A., Moriano, J., Vitriolo, A., Kuhlwilm, M., Testa, G., & Boeckx, C. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-13589-0 · Cited by 16 · see citing works
Taub, D. R., & Page, J. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00857 · Cited by 12 · see citing works
Schizophrenia and human self-domestication: an evolutionary linguistics approachPreprint
Benítez‐Burraco, A., Pietro, L. D., Barba, M., & Lattanzi, W. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/072751 · Cited by 7 · see citing works
Prehistoric languages and human self-domestication
Benítez‐Burraco, A. (2020) · Language Dynamics and Change · doi:10.1163/22105832-01001400 · Cited by 4 · see citing works
Did Dog Domestication Contribute to Language Evolution?
Benítez‐Burraco, A., Pörtl, D., & Jung, C. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.695116 · Cited by 5 · see citing works
Andirkó, A., Moriano, J., Vitriolo, A., Kuhlwilm, M., Testa, G., & Boeckx, C. A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.22.427608 · Cited by 4 · see citing works
Cognitive domains function complementation by NTNG gene paralogs
Prosselkov, P., Polygalov, D., Zhang, Q., McHugh, T. J., & Itohara, S. (2016) · Biomedical Genetics and Genomics · doi:10.1101/034645 · Cited by 3 · see citing works
The shaping of immunological responses through natural selection after the Roma Diaspora
Dobón, B., ter Horst, R., Laayouni, H., Mondal, M., Bianco, E., Comas, D., Ioana, M. I., Bosch, E., Bertranpetit, J., & Netea, M. G. (2020) · Scientific Reports · doi:10.1038/s41598-020-73182-1 · Cited by 3 · see citing works
Austad, S. N., & Finch, C. E. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-420190-3.00014-4 · Cited by 2 · see citing works
Alzheimer Hastalığı’nda In Vivo ve In Vitro Modeller
Aru, B., DEVELİOĞLU, A., Gürel, G., & Demirel, G. Y. (2023) · Türkiye Sağlık Enstitüleri Başkanlığı Dergisi · doi:10.54537/tusebdergisi.1213712 · Cited by 2 · see citing works
Benítez‐Burraco, A., Pörtl, D., & Jung, C. (2020) · Preprints.org · doi:10.20944/preprints202003.0238.v1
COGNITIVE DOMAINS FUNCTION COMPLEMENTATION
Paralogs, N. G., Prosselkov, P., Polygalov, D., Zhang, Q., & McHugh, T. J. (2015)
Alzheimer’s origins tied to rise of human intelligence
Rogers, N. (2015) · Nature · doi:10.1038/nature.2015.17589
Konopka, G., & Caglayan, E. (2024) · Oxford University Press eBooks · doi:10.1093/med/9780197676592.003.0006
- Authors
- Zhou, H., Hu, S., Matveev, R., Yu, Q., Li, J., Khaitovich, P., Jin, L., Lachmann, M., Stoneking, M., Fu, Q., & Tang, K.
- Affiliations
- Chinese Academy of Sciences (CN)
- Max Planck Institute for Mathematics in the Sciences (DE)
- Santa Fe Institute (US)
- Max Planck Institute for Evolutionary Anthropology (DE)
- Broad Institute (US)
- ORCID
- Venue
- bioRxiv (Cold Spring Harbor Laboratory)
- Publisher
- openRxiv
- Published
- 2015-05-05
- OpenAlex
- W2129877637
- Cited by
- 28
- References
- 74
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 1 · 2021: 3 · 2020: 5 · 2019: 2 · 2017: 3 · 2016: 8 · 2015: 4
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Funders
- National Natural Science Foundation of China (31371267)
- Max-Planck-Gesellschaft
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Social Sciences › Anthropology › Pleistocene-Era Hominins and Archaeology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- natural selection, human genome, positive selection, negative selection, balancing selection, ancient human genomes, Neanderthals, anatomically modern humans, brain evolution, cognitive evolution
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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