Biomedical subjects

Richard R Hudson

Publications and source records attributed to Richard R Hudson.

12 recordsLinked to original sources

PubMed2006

Evidence that the adaptive allele of the brain size gene microcephalin introgressed into Homo sapiens from an archaic Homo lineage.

At the center of the debate on the emergence of modern humans and their spread throughout the globe is the question of whether archaic Homo lineages contributed to the modern human gene pool, and more importantly, whether such contributions impacted the evolutionary adaptation of our species. A major obstacle to answering this question is that low levels of admixture with archaic lineages are not expected to leave extensive traces in the modern human gene pool because of genetic drift. Loci that have undergone strong positive selection, however, offer a unique opportunity to identify low-level admixture with archaic lineages, provided that the introgressed archaic allele has risen to high frequency under positive selection. The gene microcephalin (MCPH1) regulates brain size during development and has experienced positive selection in the lineage leading to Homo sapiens. Within modern humans, a group of closely related haplotypes at this locus, known as haplogroup D, rose from a single copy approximately 37,000 years ago and swept to exceptionally high frequency (approximately 70% worldwide today) because of positive selection. Here, we examine the origin of haplogroup D. By using the interhaplogroup divergence test, we show that haplogroup D likely originated from a lineage separated from modern humans approximately 1.1 million years ago and introgressed into humans by approximately 37,000 years ago. This finding supports the possibility of admixture between modern humans and archaic Homo populations (Neanderthals being one possibility). Furthermore, it buttresses the important notion that, through such adminture, our species has benefited evolutionarily by gaining new advantageous alleles. The interhaplogroup divergence test developed here may be broadly applicable to the detection of introgression at other loci in the human genome or in genomes of other species.

Adaptation, Biological↗

PubMed2005

Interrogating multiple aspects of variation in a full resequencing data set to infer human population size changes.

We present an expanded data set of 50 unlinked autosomal noncoding regions, resequenced in samples of Hausa from Cameroon, Italians, and Chinese. We use these data to make inferences about human demographic history by using a technique that combines multiple aspects of genetic data, including levels of polymorphism, the allele frequency spectrum, and linkage disequilibrium. We explore an extensive range of demographic parameters and demonstrate that our method of combining multiple aspects of the data results in a significant reduction of the compatible parameter space. In agreement with previous reports, we find that the Hausa data are compatible with demographic equilibrium as well as a set of recent population expansion models. In contrast to the Hausa, when multiple aspects of the data are considered jointly, the non-Africans depart from an equilibrium model of constant population size and are compatible with a range of simple bottleneck models, including a 50-90% reduction in effective population size occurring some time after the appearance of modern humans in Africa 160,000-120,000 years ago.

Cameroon↗

PubMed2005

Microcephalin, a gene regulating brain size, continues to evolve adaptively in humans.

The gene Microcephalin (MCPH1) regulates brain size and has evolved under strong positive selection in the human evolutionary lineage. We show that one genetic variant of Microcephalin in modern humans, which arose approximately 37,000 years ago, increased in frequency too rapidly to be compatible with neutral drift. This indicates that it has spread under strong positive selection, although the exact nature of the selection is unknown. The finding that an important brain gene has continued to evolve adaptively in anatomically modern humans suggests the ongoing evolutionary plasticity of the human brain. It also makes Microcephalin an attractive candidate locus for studying the genetics of human variation in brain-related phenotypes.

Adaptation, Biological↗

PubMed2005

Ongoing adaptive evolution of ASPM, a brain size determinant in Homo sapiens.

The gene ASPM (abnormal spindle-like microcephaly associated) is a specific regulator of brain size, and its evolution in the lineage leading to Homo sapiens was driven by strong positive selection. Here, we show that one genetic variant of ASPM in humans arose merely about 5800 years ago and has since swept to high frequency under strong positive selection. These findings, especially the remarkably young age of the positively selected variant, suggest that the human brain is still undergoing rapid adaptive evolution.

Adaptation, Biological↗

PubMed2005

An evolutionary framework for common diseases: the ancestral-susceptibility model.

Unlike rare mendelian diseases, which are due to new mutations (i.e. derived alleles), several alleles that increase the risk to common diseases are ancestral. Moreover, population genetics studies suggest that some derived alleles that protect against common diseases became advantageous recently. These observations can be explained within an evolutionary framework in which ancestral alleles reflect ancient adaptations to the lifestyle of ancient human populations, whereas the derived alleles were deleterious. However, with the shift in environment and lifestyle, the ancestral alleles now increase the risk of common diseases in modern populations. In this article, we develop an explicit evolutionary model and use population genetics simulations to investigate the expected haplotype structure and type of disease-association signals of ancestral risk alleles.

Alleles↗

PubMed2004

Maximum-likelihood estimation of demographic parameters using the frequency spectrum of unlinked single-nucleotide polymorphisms.

A maximum-likelihood method for demographic inference is applied to data sets consisting of the frequency spectrum of unlinked single-nucleotide polymorphisms (SNPs). We use simulation analyses to explore the effect of sample size and number of polymorphic sites on both the power to reject the null hypothesis of constant population size and the properties of two- and three-dimensional maximum-likelihood estimators (MLEs). Large amounts of data are required to produce accurate demographic inferences, particularly for scenarios of recent growth. Properties of the MLEs are highly dependent upon the demographic scenario, as estimates improve with a more ancient time of growth onset and smaller degree of growth. Severe episodes of growth lead to an upward bias in the estimates of the current population size, and that bias increases with the magnitude of growth. One data set of African origin supports a model of mild, ancient growth, and another is compatible with both constant population size and a variety of growth scenarios, rejecting greater than fivefold growth beginning >36,000 years ago. Analysis of a data set of European origin indicates a bottlenecked population history, with an 85% population reduction occurring approximately 30,000 years ago.

Black or African American↗

PubMed2003

Comparative linkage-disequilibrium analysis of the beta-globin hotspot in primates.

Recombination rates vary both across the genome and between different species, but little information is available about the temporal and physical scales over which such rates change. To shed light on these questions, we performed a high-resolution analysis of a genomic region within the beta-globin gene cluster that is known to experience elevated recombination rates in humans. For this purpose, we developed new linkage disequilibrium-based methods that thoroughly search for subsets of the data with unusually high or unusually low estimated values of the population-recombination parameter (4Nr, where N is the effective population size and r is the crossover rate between adjacent base pairs). By resequencing a 15-kb segment in a human population sample, we were able to narrow the recombinational hotspot to a segment <2 kb in length that coincides with the beta-globin replication origin. In addition, we analyzed the orthologous region in samples of rhesus macaques and common chimpanzees. Whereas the analysis of the chimpanzee data is complicated by the sample structure, the macaque data imply that this region may not be a hotspot in that species. These results suggest a time scale for the evolution of hotspots in primates. Furthermore, they allow us to propose diverged sequence elements that may contribute to the differences in the recombinational landscape in the two species.

Animals↗

PubMed2003

Stochasticity overrules the "three-times rule": genetic drift, genetic draft, and coalescence times for nuclear loci versus mitochondrial DNA.

Palumbi et al. (2001) proposed a "three-times rule" that uses mitochondrial DNA (mtDNA) sequences to predict probabilities of monophyly for nuclear loci (i.e., whether the alleles within a taxon coalesce with one another before they coalesce with alleles from a sister taxon). They use neutral coalescent theory to infer these probabilities from the ratio of interspecific divergence to intraspecific variation of mtDNA. We show that the estimated probabilities have very wide confidence intervals because of the inherent stochasticity of the mtDNA coalescent process. Under neutrality, the true probability of monophyly can be much higher, or much lower, than predicted by the three-times rule. We also review recent empirical and theoretical studies that refute neutrality-based predictions concerning mtDNA variation and divergence. We conclude that the three-times rule is neither a useful test for neutral molecular evolution nor a reliable guide to genealogical species.

Cell Nucleus↗

PubMed2002

Geographic and haplotype structure of candidate type 2 diabetes susceptibility variants at the calpain-10 locus.

Recently, a positional cloning study proposed that haplotypes at the calpain-10 locus (CAPN10) are associated with increased risk of type 2 diabetes, or non-insulin-dependent diabetes mellitus, in Mexican Americans, Finns, and Germans. To inform the interpretation of the original mapping results and to look for evidence for the action of natural selection on CAPN10, we undertook a population-based genotyping survey of the candidate susceptibility variants. First, we genotyped sites 43, 19, and 63 (the haplotype-defining variants previously proposed) and four closely linked SNPs, in 561 individuals from 11 populations from five continents, and we examined the linkage disequilibrium among them. We then examined the ancestral state of these sites by sequencing orthologous portions of CAPN10 in chimpanzee and orangutan (the identity of sites 43 and 19 was further investigated in a limited sample of other great apes and Old World and New World monkeys). Our survey suggests larger-than-expected differences in the distribution of CAPN10 susceptibility variants between African and non-African populations, with common, derived haplotypes in European and Asian samples (including one of two proposed risk haplotypes) being rare or absent in African samples. These results suggest a history of positive natural selection at the locus, resulting in significant geographic differences in polymorphism frequencies. The relationship of these differences to disease risk is discussed.

Africa↗

PubMed2002

Generating samples under a Wright-Fisher neutral model of genetic variation.

A Monte Carlo computer program is available to generate samples drawn from a population evolving according to a Wright-Fisher neutral model. The program assumes an infinite-sites model of mutation, and allows recombination, gene conversion, symmetric migration among subpopulations, and a variety of demographic histories. The samples produced can be used to investigate the sampling properties of any sample statistic under these neutral models.

Computational Biology↗

PubMed2002

Inferences about human demography based on multilocus analyses of noncoding sequences.

Data from 10 unlinked autosomal noncoding regions, resequenced in 15 individuals from each of three populations, were used in a multilocus analysis to test models of human demography. Each of the 10 regions consisted of approximately 2500 bp. The multilocus analysis, based on summary statistics (average and variance of Tajima's D and Fu and Li's D*), was used to test a family of models with recent population expansion. The African sample (Hausa of Cameroon) is compatible with a constant population size model and a range of models with recent expansion. For this population sample, we estimated confidence sets that showed the limited range of parameter values compatible with growth. For an exponential growth rate as low as 1 x 10(-3)/generation, population growth is unlikely to have started prior to 50,000 years ago. For higher growth rates, the onset of growth must be more recent. On the basis of the average value of Tajima's D, our sample from an Italian population was found to be incompatible with a constant population size model or any simple expansion model. In the Chinese sample, the variance of Tajima's D was too large to be compatible with the constant population size model or any simple expansion model.

Base Pairing↗

PubMed2002

Mathematical consequences of the genealogical species concept.

A genealogical species is defined as a basal group of organisms whose members are all more closely related to each other than they are to any organisms outside the group ("exclusivity"), and which contains no exclusive group within it. In practice, a pair of species is so defined when phylogenies of alleles from a sample of loci shows them to be reciprocally monophyletic at all or some specified fraction of the loci. We investigate the length of time it takes to attain this status when an ancestral population divides into two descendant populations of equal size with no gene exchange, and when genetic drift and mutation are the only evolutionary forces operating. The number of loci used has a substantial effect on the probability of observing reciprocal monophyly at different times after population separation, with very long times needed to observe complete reciprocal monophyly for a large number of loci. In contrast, the number of alleles sampled per locus has a relatively small effect on the probability of reciprocal monophyly. Because a single mitochondrial or chloroplast locus becomes reciprocally monophyletic much faster than does a single nuclear locus, it is not advisable to use mitochondrial and chloroplast DNA to recognize genealogical species for long periods after population divergence. Using a weaker criterion of assigning genealogical species status when more than 50% of sampled nuclear loci show reciprocal monophyly, genealogical species status depends much less on the number of sampled loci, and is attained at roughly 4-7 N generations after populations are isolated, where N is the historically effective population size of each descendant. If genealogical species status is defined as more than 95% of sampled nuclear loci showing reciprocal monophyly, this status is attained after roughly 9-12 N generations.

Alleles↗