Denisova Admixture and the First Modern Human Dispersals into Southeast Asia and Oceania  David Reich, Nick Patterson, Martin Kircher, Frederick Delfin,

Slides:



Advertisements
Similar presentations
Previous Estimates of Mitochondrial DNA Mutation Level Variance Did Not Account for Sampling Error: Comparing the mtDNA Genetic Bottleneck in Mice and.
Advertisements

Peopling of Sahul: mtDNA Variation in Aboriginal Australian and Papua New Guinean Populations Alan J. Redd, Mark Stoneking The American Journal of Human.
A Haplotype at STAT2 Introgressed from Neanderthals and Serves as a Candidate of Positive Selection in Papua New Guinea  Fernando L. Mendez, Joseph C.
Ancient Wolf Genome Reveals an Early Divergence of Domestic Dog Ancestors and Admixture into High-Latitude Breeds  Pontus Skoglund, Erik Ersmark, Eleftheria.
The Structure of Common Genetic Variation in United States Populations
Michael Dannemann, Janet Kelso  The American Journal of Human Genetics 
Itsik Pe’er, Yves R. Chretien, Paul I. W. de Bakker, Jeffrey C
Genome-wide Ancestry and Demographic History of African-Descendant Maroon Communities from French Guiana and Suriname  Cesar Fortes-Lima, Antoine Gessain,
Denisova Admixture and the First Modern Human Dispersals into Southeast Asia and Oceania  David Reich, Nick Patterson, Martin Kircher, Frederick Delfin,
Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia  Kevin J. Galinsky, Gaurav Bhatia, Po-Ru Loh, Stoyan Georgiev,
Introgression of Neandertal- and Denisovan-like Haplotypes Contributes to Adaptive Variation in Human Toll-like Receptors  Michael Dannemann, Aida M.
The Kalash Genetic Isolate: Ancient Divergence, Drift, and Selection
Model-free Estimation of Recent Genetic Relatedness
Volume 26, Issue 7, Pages (April 2016)
Demographic History of Oceania Inferred from Genome-wide Data
Early Austronesians: Into and Out Of Taiwan
Volume 26, Issue 2, Pages (January 2016)
Variant arose about years ago
Estimating Kinship in Admixed Populations
Volume 27, Issue 20, Pages e9 (October 2017)
Volume 20, Issue 4, Pages R194-R201 (February 2010)
Association Mapping in Structured Populations
Thomas Willems, Melissa Gymrek, G
Proportioning Whole-Genome Single-Nucleotide–Polymorphism Diversity for the Identification of Geographic Population Structure and Genetic Ancestry  Oscar.
Evolutionary Rewiring of Human Regulatory Networks by Waves of Genome Expansion  Davide Marnetto, Federica Mantica, Ivan Molineris, Elena Grassi, Igor.
Brian K. Maples, Simon Gravel, Eimear E. Kenny, Carlos D. Bustamante 
Genetic Ancestry of Rapanui before and after European Contact
Gene-Expression Variation Within and Among Human Populations
Leslie S. Emery, Joseph Felsenstein, Joshua M. Akey 
Biased Gene Conversion Skews Allele Frequencies in Human Populations, Increasing the Disease Burden of Recessive Alleles  Joseph Lachance, Sarah A. Tishkoff 
Michael Dannemann, Janet Kelso  The American Journal of Human Genetics 
XMCPDT Does Have Correct Type I Error Rates
Maternal History of Oceania from Complete mtDNA Genomes: Contrasting Ancient Diversity with Recent Homogenization Due to the Austronesian Expansion  Ana T.
Ida Moltke, Matteo Fumagalli, Thorfinn S. Korneliussen, Jacob E
The Human Condition—A Molecular Approach
Volume 173, Issue 1, Pages e9 (March 2018)
The Predecessors Within
Genetic Evidence for Recent Population Mixture in India
The Divergence of Neandertal and Modern Human Y Chromosomes
Patterns of Genetic Coding Variation in a Native American Population before and after European Contact  John Lindo, Mary Rogers, Elizabeth K. Mallott,
Robust Inference of Identity by Descent from Exome-Sequencing Data
Selection and Reduced Population Size Cannot Explain Higher Amounts of Neandertal Ancestry in East Asian than in European Human Populations  Bernard Y.
Ivan P. Gorlov, Olga Y. Gorlova, Shamil R. Sunyaev, Margaret R
Characteristics of Neutral and Deleterious Protein-Coding Variation among Individuals and Populations  Wenqing Fu, Rachel M. Gittelman, Michael J. Bamshad,
Sriram Sankararaman, Swapan Mallick, Nick Patterson, David Reich 
Strong Maternal Khoisan Contribution to the South African Coloured Population: A Case of Gender-Biased Admixture  Lluis Quintana-Murci, Christine Harmant,
Matthieu Foll, Oscar E. Gaggiotti, Josephine T
Brian P. McEvoy, Joanne M. Lind, Eric T. Wang, Robert K
Shuhua Xu, Wei Huang, Ji Qian, Li Jin 
by Benjamin Vernot, Serena Tucci, Janet Kelso, Joshua G
Whole-Genome-Sequence-Based Haplotypes Reveal Single Origin of the Sickle Allele during the Holocene Wet Phase  Daniel Shriner, Charles N. Rotimi  The.
Selina Vattathil, Joshua M. Akey  Cell 
Brian P. McEvoy, Joanne M. Lind, Eric T. Wang, Robert K
The Divergence of Neandertal and Modern Human Y Chromosomes
Leonardo Arbiza, Srikanth Gottipati, Adam Siepel, Alon Keinan 
Female-to-Male Breeding Ratio in Modern Humans—an Analysis Based on Historical Recombinations  Damian Labuda, Jean-François Lefebvre, Philippe Nadeau,
Huwenbo Shi, Gleb Kichaev, Bogdan Pasaniuc 
Exploring Population Admixture Dynamics via Empirical and Simulated Genome-wide Distribution of Ancestral Chromosomal Segments  Wenfei Jin, Sijia Wang,
Genome-wide Ancestry and Demographic History of African-Descendant Maroon Communities from French Guiana and Suriname  Cesar Fortes-Lima, Antoine Gessain,
L-GATOR: Genetic Association Testing for a Longitudinally Measured Quantitative Trait in Samples with Related Individuals  Xiaowei Wu, Mary Sara McPeek 
Complex History of Admixture between Modern Humans and Neandertals
Features of Evolution and Expansion of Modern Humans, Inferred from Genomewide Microsatellite Markers  Lev A. Zhivotovsky, Noah A. Rosenberg, Marcus W.
Sriram Sankararaman, Swapan Mallick, Nick Patterson, David Reich 
Leslie S. Emery, Kevin M. Magnaye, Abigail W. Bigham, Joshua M
Yu Zhang, Tianhua Niu, Jun S. Liu 
Ancient Wolf Genome Reveals an Early Divergence of Domestic Dog Ancestors and Admixture into High-Latitude Breeds  Pontus Skoglund, Erik Ersmark, Eleftheria.
Jung-Ying Tzeng, Chih-Hao Wang, Jau-Tsuen Kao, Chuhsing Kate Hsiao 
Volume 26, Issue 23, Pages (December 2016)
A Haplotype at STAT2 Introgressed from Neanderthals and Serves as a Candidate of Positive Selection in Papua New Guinea  Fernando L. Mendez, Joseph C.
Introgression of Neandertal- and Denisovan-like Haplotypes Contributes to Adaptive Variation in Human Toll-like Receptors  Michael Dannemann, Aida M.
Presentation transcript:

Denisova Admixture and the First Modern Human Dispersals into Southeast Asia and Oceania  David Reich, Nick Patterson, Martin Kircher, Frederick Delfin, Madhusudan R. Nandineni, Irina Pugach, Albert Min-Shan Ko, Ying-Chin Ko, Timothy A. Jinam, Maude E. Phipps, Naruya Saitou, Andreas Wollstein, Manfred Kayser, Svante Pääbo, Mark Stoneking  The American Journal of Human Genetics  Volume 89, Issue 4, Pages 516-528 (October 2011) DOI: 10.1016/j.ajhg.2011.09.005 Copyright © 2011 The American Society of Human Genetics Terms and Conditions

Figure 1 Denisovan Genetic Material as a Fraction of that in New Guineans Populations are only shown as having Denisova ancestry if the estimates are more than two standard errors from zero (we combine estimates for populations in this study with analogous estimates from CEPH- Human Genome Diversity Panel populations reported previously12). No population has an estimate of Denisova ancestry that is significantly more than that in New Guineans, and hence we at most plot 100%. The sampling location of the AU2 population is unknown and hence the position of this population is not precise. The American Journal of Human Genetics 2011 89, 516-528DOI: (10.1016/j.ajhg.2011.09.005) Copyright © 2011 The American Society of Human Genetics Terms and Conditions

Figure 2 Denisovan and Near Oceanian Ancestry Are Proportional Except in the Philippines We plot pD(X), the estimated percentage of Denisova ancestry as a fraction of that seen in New Guineans, against the estimated percentage of Near Oceanian ancestry pN(X) by using the values from Table 1 (horizontal and vertical bars specify ±1 standard errors). The Mamanwa deviate significantly from the pD(X) = pN(X) line, indicating that their Denisova genetic material does not owe its origin to gene flow from a population related to Near Oceanians. A weaker deviation is seen in the Manobo, who live near the Mamanwa on the island of Mindanao. The American Journal of Human Genetics 2011 89, 516-528DOI: (10.1016/j.ajhg.2011.09.005) Copyright © 2011 The American Society of Human Genetics Terms and Conditions

Figure 3 A Model of Population Separation and Admixture that Fits the Data The admixture graph suggests Denisova-related gene flow into a common ancestral population of Mamanwa, New Guineans, and Australians, followed by admixture of New Guinean and Australian ancestors with another population that did not experience Denisova gene flow. We cannot distinguish the order of population divergence of the ancestors of Chinese, Onge/Jehai, and Mamanwa/New Guineans/Australians, and hence show a trifurcation. Admixture proportion estimates (red) are potentially affected by ascertainment bias and hence should be viewed with caution. In addition, although admixture graphs are precise about the topology of population relationships, they are not informative regarding timing. Thus, the lengths of lineages should not be interpreted in terms of population split times and admixture events. The American Journal of Human Genetics 2011 89, 516-528DOI: (10.1016/j.ajhg.2011.09.005) Copyright © 2011 The American Society of Human Genetics Terms and Conditions

Figure 4 Computation of the Estimate of Denisovan Ancestry pD(X) The black lines show the model for how populations are related that is the basis for the pD(X) ancestry estimate. Population X arose from an admixture of a proportion (1 − qX) of ancestry from an ancestral non-African population C′ and (qX) from archaic population B′ (C and B are their unmixed descendants). The expected value of f4(A,B;C,X) is proportional to the correlation in the allele frequency differences A − B and C − X, and can be computed as the overlap in the drift paths separating A − B (blue arrows) and C − X (red arrows). These paths only overlap over the branches α and β, in proportion to the percentage qX of the lineages of population X that are of archaic ancestry and so the expected value is qX(α + β). When we compute the ratio pD(X), (α + β) cancels from both the numerator and denominator, and we obtain qX/qNew Guinea, the fraction of archaic ancestry in a population X divided by that in New Guinea. This provides unbiased estimates of the mixture proportion even if populations C and B have experienced a large amount of genetic drift since splitting from their ancestors, that is, even if we do not have good surrogates for the ancestral populations. This robustness arises because the genetic drift on the branches B→B′ and C→C′ does not contribute to the expectations. The American Journal of Human Genetics 2011 89, 516-528DOI: (10.1016/j.ajhg.2011.09.005) Copyright © 2011 The American Society of Human Genetics Terms and Conditions

Figure 5 Computation of the Estimate of Near Oceanian Ancestry pN(X) The test population X is assumed to have arisen from a mixture of a proportion (1 − qX) of ancestry from ancestral East Asians E′ and (qX) of ancestral Near Oceanians N′. The Near Oceanians are, in turn, assumed to have received a proportion pX of their ancestry from the Denisovans (E and New Guinea are assumed to be unmixed descendants of these two). The expected value of f4(A,Australia; X, New Guinea) can be computed from the correlation in the allele frequency differences A − Australia (blue arrows) and X − New Guinea (red arrows). These paths only overlap along the proportion (1 − qX) of the ancestry of population X that takes the East Asian path, where the expected shared drift is (1 − pX)β+γ as shown in the figure. Thus, the expected value of the f4 statistic is (1 − qX)(1 − pX)β+γ. Because qX = 0 for the denominator of pN(X) (no Near Oceanian ancestry), the ratio of f4 statistics has an expected value of (1 − qX) and E[pN(X)] = qX. The American Journal of Human Genetics 2011 89, 516-528DOI: (10.1016/j.ajhg.2011.09.005) Copyright © 2011 The American Society of Human Genetics Terms and Conditions