The Unz Review - Mobile
A Collection of Interesting, Important, and Controversial Perspectives Largely Excluded from the American Mainstream Media
Email This Page to Someone

 Remember My Information



=>
Authors Filter?
Razib Khan
Nothing found
 TeasersGene Expression Blog
/
Latin America

Bookmark Toggle AllToCAdd to LibraryRemove from Library • BShow CommentNext New CommentNext New Reply
🔊 Listen RSS

mexicanThe image to the left is the ‘average’ face of a Mexican woman as generated by the University of Glasgow Face Research Lab. Aside from the fact that the face is prettier than the typical human because of the well known tendency of averaging facial features removing unattractive asymmetry it is racially what you might expect, a synthesis of an Amerindian and European face, with an Amerindian skew. But a phenotypic average only tells you so much. Variation is one of the key ingredients in evolutionary processes, and by getting a sense of a population’s variation you can infer things about its past and possible future history. For example, if that variation is heritable, then it is amenable raw material for adaptation. In contrast, if the variation is due to environmental parameters then it is not going to be appropriate input for adaptation via natural selection. In a nation like Mexico we see the full range, from ‘typical’ Amerindian phenotype, to someone who looks to be fully European (with a small minority with visible African ancestry).

But if the phenotype is heritable, then underlying this variation is genotype. The extent that genotype controls the variation is contingent upon heritability. The heritability of behavioral phenotypes is often around ~0.5. But for physical traits such as height or pigmentation the heritability is much closer to 1, on the order of ~0.8 to ~0.9. That means 80 to 90 percent of the variation of the trait across the population is due to variation in the genes. When we code someone as “Amerindian” or “European” or “African” we are assessing phenotypes with a strong underlying genotypic component. A new study in PLOS GENETICS outlines just how this plays out in Latin America, a region of the world which has the virtue of being a living experiment in admixture between different geographic races over the past 500 years.

Admixture in Latin America: Geographic Structure, Phenotypic Diversity and Self-Perception of Ancestry Based on 7,342 Individuals:

The current genetic makeup of Latin America has been shaped by a history of extensive admixture between Africans, Europeans and Native Americans, a process taking place within the context of extensive geographic and social stratification. We estimated individual ancestry proportions in a sample of 7,342 subjects ascertained in five countries (Brazil, Chile, Colombia, México and Perú). These individuals were also characterized for a range of physical appearance traits and for self-perception of ancestry. The geographic distribution of admixture proportions in this sample reveals extensive population structure, illustrating the continuing impact of demographic history on the genetic diversity of Latin America. Significant ancestry effects were detected for most phenotypes studied. However, ancestry generally explains only a modest proportion of total phenotypic variation. Genetically estimated and self-perceived ancestry correlate significantly, but certain physical attributes have a strong impact on self-perception and bias self-perception of ancestry relative to genetically estimated ancestry.

The phylogeographic aspect of this paper is not too interesting to me, as it confirms what we’ve known (e.g., more Amerindian ancestry in northern Brazil, Mexicans are somewhat more Amerindian than they are European, etc.). Rather, the biggest findings are those which relate physical appearance, self-identity, and genetic ancestry. In Europe someone who identifies as “white” is invariably ~99% European when assessed using a genetic method (the ~1% balance is often from Iberia). More precisely, white Europeans are ~99% West Eurasian, since a non-trivial amount of trans-Mediterranean gene flow has occurred, meaning there isn’t a clear boundary between Europe and nearby regions. Similarly, in Sub-Saharan Africa someone who identifies as “black” is likely to be nearly all Sub-Saharan African. This is often not the case in Latin America. That is, those who identify as “white” or “black” often have substantial admixture from other geographic racial groups.

One of the major drawbacks of this study is that it relies on 30 ancestrally informative markers (AIMs). Though this is acceptable in forensics, some of the ancestry inferences made on an individual basis are a touch less accurate than they would be on a dense marker SNP chip (e.g., the 650,000 SNPs used on the HGDP). The modest correlations here are probably a little lower than they would be if the ancestry was more accurately adduced. But in the broad sketch the conclusions are likely defensible. One result which may surprise then is the very modest correlation between physical traits and ancestry. Here’s the quote from the paper:

Regression of phenotypic variation on genetic ancestry (taking Native American as reference) demonstrates a significant effect for most of the traits examined (p-value <10−3 using a conservative Bonferroni multiple testing correction, Table 2). Among the non-facial phenotypes (accounting for sex, country, age, educational attainment and wealth) higher European ancestry is associated with: increased height, lighter pigmentation (of hair, skin and eyes) (Figure S6), greater hair curliness and male pattern baldness. Hair graying approaches statistical significance (p-value 10−2). Higher African ancestry is associated with: increased height, higher skin pigmentation and greater hair curliness. The proportion of phenotypic variance explained by ancestry is highest for skin pigmentation (19%) followed by hair shape (8%) and color of eyes and hair (4% and 5%, respectively) but at most 1% for the other phenotypes.

As I said it could be that the AIMs aren’t quite as accurate as they should be, and are underestimating the ancestral fractions on the individuals at the extremes (e.g., someone who is 100% European is estimated to be 95% European, because the marker set lacks precision). So you might bump up the proportion of variance explained a bit, but likely this still seems way too low to you intuitively. There are a few things going on here. First, skin color is controlled between populations by a relatively small set of genetic loci. This means that in admixed populations the sample variance, the random draw of genotypes across the loci, is going to vary a lot even in individuals with the same ancestry. Because of the relatively small number of large effect loci skin color is a trait which shows a lot of variation within families where ancestry is geographically diverse. And within families, or at least across full siblings, total ancestry is not going to vary that much. Second, for some of the “traits” in question that are being measured there is just a lot of variation within geographic races. It makes sense that ancestry would explain only a small fraction within this pooled data set. And yet people can recognize a set of features which are clearly European or Amerindian or African. I think the answer here is that you are picking up on correlation structure across the traits. A suite of subtle facial contours for example connote “European” in a Gestalt manner, even if quantitatively each contour trait has a lot of variation within a population and overlaps across them.

Where this all “cashes out” though is in the intersection of the sociocultural and biological. Within the paper itself they observe a few trends which would not be surprising. Skin color and hair form are very salient characteristics, and lead individuals to shift their estimates of their own ancestries. Those with lighter skin tend to overestimate their European ancestry fractions, while those with curlier hair overestimate their African ancestry. These are traits which have the characteristics that they are quite ancestrally informative to particular geographic races, and, very visible (unlike, say, Duffy status). Within these data there are also particular patterns which are intriguing and less obvious; those with low amounts of Amerindian ancestry underestimate the fraction, while those with higher levels overestimate it. The details of these patterns are obviously contextual in terms of time and place (e.g., in Henry Louis Gates Jr.’s genealogy specials many celebrities seem to yearn for exotic lineages, which would not be the case in past decades). What is more interesting is that fine grain patterns of variation in genetic ancestry and how they deviate from perceived ancestry can finally allow social scientists to get a better grip on patterns of discrimination (or lack thereof). It is not entirely uncommon in Latin America for full siblings to sometimes be socially perceived to be different races because of the random segregation of salient characteristics. In the aggregate these sorts of cases would allow one to estimate the effect of social perceptions, slights, or advantages. With the genetic dimension one could also ascertain the possibility of group differences, because many subtle characteristics are going to track genome-wide patterns, rather than a few phenotypes which society privileges when sorting people by geographic origin.

 
• Category: Race/Ethnicity, Science • Tags: Genomics, Latin America, Race 
🔊 Listen RSS

Economists in the last few years have been shifting toward testing their theoretical models, whether through the experiments of behavioral economics, or, “natural experiments.” The reason economists have had issues with testing their models is that experimentation on humans has some natural constraints. Macroeconomists have an even greater problem, as experimentation on whole societies not only presents ethical conundrums, but there’s no way to fund or implement experiments on this scale. Macroeconomists turn out to be the paleontologists of economics.

Of course economists aren’t the only ones who’ve had this sort of problem with humans. The reason that geneticists focused on organisms such as flies, mice and fish is partly that these taxa breed fast and are easy to maintain in laboratories. But obviously there are things you can do, such as mutagenesis, with model organisms which you can not do with humans. Human genetics has traditionally relied on “natural experiments” of a sort, inbred lineages, recurrent recessive diseases, etc. Genetics has been a supplementary handmaid to medicine by and large. But sometimes history can load the die in genetics’ favor as well.

624px-Zoe_Saldana_at_2010_ODuring the “Columbian Exchange” the New and Old World engaged in a massive transfer of ideas and individuals. The Old World received potatoes, maize, and tomatoes (to name a few). The New World…well, the New World received black people and white people. As documented in works such as 1491 the indigenous populations of the New World collapsed with the introduction of Old World diseases. Native peoples disappeared from the Caribbean, and were marginalized on the mainland excepting ecologically remote (e.g., the Guatemalan highlands) or forbidding (e.g., the Peruvian highlands) regions. But of course despite the obliteration of indigenous cultural self-consciousness and identity, the native populations did not totally disappear, they persisted genetically in the numerically dominant mestizo populations of much of Latin America. You don’t need genetics to understand what happened, books like Mestizaje in Ibero-America outline in detail using conventional historical archives how Spanish men arrived in New World and entered into relationships with indigenous women. Often several at a time, in contravention of the Catholic Church’s requirement of monogamy.

But in the post-genomic era we have more to go on than impressions, we can quantitize the extent and nature of the admixture, something of importance when considering medical research. A new paper in PNAS adds some more to the growing body of results on Latin American genomics by including populations which have traditionally been overlooked, and also putting a spotlight on the long term impact of sex-biased admixture. Genome-wide patterns of population structure and admixture among Hispanic/Latino populations:

Hispanic/Latino populations possess a complex genetic structure that reflects recent admixture among and potentially ancient substructure within Native American, European, and West African source populations. Here, we quantify genome-wide patterns of SNP and haplotype variation among 100 individuals with ancestry from Ecuador, Colombia, Puerto Rico, and the Dominican Republic genotyped on the Illumina 610-Quad arrays and 112 Mexicans genotyped on Affymetrix 500K platform. Intersecting these data with previously collected high-density SNP data from 4,305 individuals, we use principal component analysis and clustering methods FRAPPE and STRUCTURE to investigate genome-wide patterns of African, European, and Native American population structure within and among Hispanic/Latino populations. Comparing autosomal, X and Y chromosome, and mtDNA variation, we find evidence of a significant sex bias in admixture proportions consistent with disproportionate contribution of European male and Native American female ancestry to present-day populations. We also find that patterns of linkage-disequilibria in admixed Hispanic/Latino populations are largely affected by the admixture dynamics of the populations, with faster decay of LD in populations of higher African ancestry. Finally, using the locus-specific ancestry inference method LAMP, we reconstruct fine-scale chromosomal patterns of admixture. We document moderate power to differentiate among potential subcontinental source populations within the Native American, European, and African segments of the admixed Hispanic/Latino genomes. Our results suggest future genome-wide association scans in Hispanic/Latino populations may require correction for local genomic ancestry at a subcontinental scale when associating differences in the genome with disease risk, progression, and drug efficacy, as well as for admixture mapping.

The issue here is that “Hispanic” and/or “Latino” is not a race. In fact, as American readers may be aware the category emerged in 1970 as a way of organizing ethnic and racial identity for the Census. Despite a real pan-American consciousness there is obviously a great deal of cultural and genetic variation in Latin America. Caribbean nations which a large African component have a different identity from Mexico, where the non-Spanish segment is indigenous. Conversely, Argentina has a self conception as a white nation, despite some ambiguity in genetics.

In this paper they focused on 100 individuals from Mexico, Columbia, Ecuador, Dominican Republic and Puerto Rico. This gives them a good coverage of different regions of Latin America, and also looks into populations which are not often included in these studies, such as Dominicans. A series of figures highlights the primary results.

I’ve rotated this figure to maintain its resolution. It’s a Frappe analysis of the ancestry of individuals within various populations assuming K ancestral populations. With Latin Americans the idea of ancestral populations makes a bit more sense, since we know what the ancestral populations are! They use the HGDP populations as a reference for points of comparison.

F1.large

Since we’re focused on native, Africa and white ancestry, K = 3 is probably more important. No surprise that the Latin America populations exhibit variation in ancestral quanta within them. Some Mexicans look like Europeans. Some Mexicans look like Native Americans. And some Mexicans look mixed. I assume that most readers are aware of this, assuming that they encounter Mexicans at all in their daily life.

Of course the ancestry came in through different avenues. The sexual exploitation of black females by white males in the United States is well known, but it does seem that the same dynamic, at least in terms of the genetic combination, existed in Latin America for much of its history, with black females being complemented by indigenous females. Figure 5 illustrates this well. You see the various Latin American populations (the abbreviations should be obvious). The boxes span the 1st to 3rd quartile in ancestry within each subpopulation from each respective ancestral group (the whiskers represent the ranges). Note the differences between the X chromosome, which spends 2/3 of its time in females, and the autosome, which is not sex biased.

F5.large

Ah, but we can get more precise than that. They typed these individuals on their mtDNA, which is passed purely through women, and their Y chromosomes, which is passed purely through men. These loci do not recombine, and so are transmitted in such a manner that it is relatively easy to reconstruct their phylogenies. There has been a great deal of phylogeographic exploration of these two loci. In the next figure what you see are the position of the individuals in this study in terms of total genome content distance from the three ancestral populations, but, the color of their positions is dictated by the origin of their mtDNA and Y lineages.

F6.largeThe top panel are male lineages, and the bottom panel are female lineages. The preponderance of European ancestry, in relation to native and African ancestry, seems rather clear on the autosomal genome. There is admixture, but you have more people concentrating at the European vertex than at the other two. Most of the Y lineages, presumably men, are European. Some are African, and a few are native. Interestingly they note in the text that several lineages associated with North Africa and the Middle East are found in these populations. Why? The answer seems relatively simple: they were brought by the Muslim invaders, or were Jews, who later became Christian. There have been many phylogeographic analyses of Y lineage distributions, and believe it or not Iberia and North Africa are actually strongly differentiated. The Middle Eastern lineages I’m betting are from Sephardic Jews; most of the “Moors” who settled in Spain are likely to have had more Berber than Arab ancestry.

The maternal lineages show a really interesting pattern. There are a preponderance of native mtDNA lineages, and a significant number of African ones. But notice that most people of overwhelming European ancestry nevertheless retain a native maternal lineage! We saw this in Argentina, a population which identifies as white, seems to be highly admixed on the mtDNA. I suspect that what you’re seeing is the long reach of the first mothers, whose descendants intermarried with Spanish men who relocated to the New World. The Aztec and Inca nobility gave their daughters to the Spaniards who arrived, and I suspect that the predominantly European elites of Latin America still carry those lineages with them, despite their overwhelming limpieza de sangre. Another important point is that both Dominicans, and especially Puerto Ricans, carry signatures of these first mothers (as well as total genome content). 20 of 27 Puerto Ricans carry native mtDNA. This is somewhat shocking, as these Caribbean islands were reputed to have been nearly devoid of indigenous populations only a generation after First Contact, in large part due to disease.

Which brings me back to Neandertals. Non-African humans may carry somewhat less than 5% of their ancestry from this population. But to my knowledge there is no cultural continuity, and we do conceive of ourselves as fundamentally different from the Neander-kind. And yet genetically the Neandertals are highly successful through us The chaos, havoc, and population collapse wrecked by the Europeans when they encountered native New World populations may be somewhat analogous to what happened to archaic groups who had to face the oncoming demographic blast of African humans. And yet some of the genetic material of the locals was absorbed just before their extinction. The half-Taino children whose fathers were Spanish may have had the genetic defenses of European diseases which allowed them to survive the hardships of their lives. Granted, these children lost a genuine connection with their Taino ancestors, but the descent of those native peoples still persists onward. Interestingly, some readers of this weblog have had the same reaction to the idea that Neandertals persist in our own genome. Ultimately the reaction and response to this is not a scientific issue, but a normative one. Dare I even say, a spiritual one?

Citation: Bryc K, Velez C, Karafet T, Moreno-Estrada A, Reynolds A, Auton A, Hammer M, Bustamante CD, & Ostrer H (2010). In the Light of Evolution IV: The Human Condition Sackler Colloquium: Genome-wide patterns of population structure and admixture among Hispanic/Latino populations. Proceedings of the National Academy of Sciences of the United States of America PMID: 20445096

Image Credit: Cristiano Del Riccio

(Republished from Discover/GNXP by permission of author or representative)
 
• Category: Science • Tags: Genetics, Genomics, Latin America 
No Items Found
Razib Khan
About Razib Khan

"I have degrees in biology and biochemistry, a passion for genetics, history, and philosophy, and shrimp is my favorite food. If you want to know more, see the links at http://www.razib.com"