Annual Review of Genomics and Human Genetics - Volume 13, 2012

The central preoccupation of human genetics is an effort to understand the genotypic basis of human phenotypic diversity. Although recent progress in identifying the genes that, when mutated, underlie major genetic diseases has been rapid, knowledge of the genetic influences on the vast range of variable, and at least partially heritable, traits that constitute the “normal” range of human phenotypic variation lags. Spectacular advances in our knowledge of human genetic variation have laid the groundwork for a synthesis of insights from medical genetics, population genetics, molecular evolution, and the study of human origins that places basic constraints on models of human genetic individuality. Balancing selection, local adaptation, mutation-selection balance, and founder effects have all extensively shaped contemporary genetic variation. Long-term-balancing selection appears largely to reflect the consequences of host-pathogen arms races. Local adaptation has been widespread—and involved responses to a plethora of selective pressures, some identifiable but most unknown. However, it appears to be a combination of mutation-selection balance and founder effects that largely accounts for genetic individuality. If true, this inference has major implications for future research programs in human genetics.

There has been a recent surge in the use of genome-wide methodologies to identify and annotate the transcriptional regulatory elements in the human genome. Here we review some of these methodologies and the conceptual insights about transcription regulation that have been gained from the use of genome-wide studies. It has become clear that the binding of transcription factors is itself a highly regulated process, and binding does not always appear to have functional consequences. Numerous properties have now been associated with regulatory elements that may be useful in their identification. Several aspects of enhancer function have been shown to be more widespread than was previously appreciated, including the highly combinatorial nature of transcription factor binding, the postinitiation regulation of many target genes, and the binding of enhancers at early stages to maintain their competence during development. Going forward, the integration of multiple genome-wide data sets should become a standard approach to elucidate higher-order regulatory interactions.

Eukaryotic genomic DNA is combined with histones, nonhistone proteins, and RNA to form chromatin, which is extensively packaged hierarchically to fit inside a cell's nucleus. The nucleosome—comprising a histone octamer with 147 base pairs of DNA wrapped around it—is the initial level and the repeating unit of chromatin packaging, which electron microscopy first made visible to the human eye as “beads on a string” nearly four decades ago. The mechanism and nature of chromatin packaging are still under intense research. Recently, classic methods like chromatin immunoprecipitation and digestion with deoxyribonuclease and micrococcal nuclease have been combined with high-throughput sequencing to provide detailed nucleosome occupancy maps, and chromosome conformation capture and its variants have revealed that higher-order chromatin structure involves long-range loop formation between distant genomic elements. This review discusses the methods for identifying higher-order chromatin structure and the information they have provided on this important topic.

In mammals, the Y chromosome plays the pivotal role in male sex determination and is essential for normal sperm production. Yet only three Y chromosomes have been completely sequenced to date—those of human, chimpanzee, and rhesus macaque. While Y chromosomes are notoriously difficult to sequence owing to their highly repetitive genomic landscapes, these dedicated sequencing efforts have generated tremendous yields in medical, biological, and evolutionary insight. Knowledge of the complex structural organization of the human Y chromosome and a complete catalog of its gene content have provided a deeper understanding of the mechanisms that generate disease-causing mutations and large-scale rearrangements. Variation among human Y-chromosome sequences has been an invaluable tool for understanding relationships among human populations. Comprehensive comparisons of the human Y-chromosome sequence with those of other primates have illuminated aspects of Y-chromosome evolutionary dynamics over much longer timescales (>25 million years compared with 100,000 years). The future sequencing of additional Y chromosomes will provide a basis for a more comprehensive understanding of the evolution of Y chromosomes and their roles in reproductive biology.

The evolution of the egg is dynamic, and eggs have numerous species-specific properties across vertebrates and invertebrates. Interestingly, although the structure and function of the egg have remained relatively conserved over time, some constituents of the egg's extracellular barriers are undergoing rapid evolution. In this article, we review current ideas regarding sperm-egg interactions, discuss genetic approaches used to elucidate egg gene functions, and highlight the interesting differences that have evolved across taxa. We suggest that the rapid evolution of egg components and the mechanisms behind sperm-egg interactions are integrally connected, and delve in depth into each component of the egg's extracellular matrices. Finally, we discuss the promising future of reproductive research and how high-throughput genomics and proteomics have the potential to revolutionize the field and provide new evidence that will challenge previously held views about the fertilization process.

The evolutionary emergence of vertebrates was accompanied by the invention of adaptive immunity. This is characterized by extraordinarily diverse repertoires of somatically assembled antigen receptors and the facility of antigen-specific memory, leading to more rapid and efficient secondary immune responses. Adaptive immunity emerged twice during early vertebrate evolution, once in the lineage leading to jawless fishes (such as lamprey and hagfish) and, independently, in the lineage leading to jawed vertebrates (comprising the overwhelming majority of extant vertebrates, from cartilaginous fishes to mammals). Recent findings on the immune systems of jawless and jawed fishes (here referred to as lower vertebrates) impact on the identification of general principles governing the structure and function of adaptive immunity and its coevolution with innate defenses. The discovery of conserved features of adaptive immunity will guide attempts to generate synthetic immunological functionalities and thus provide new avenues for intervening with faulty immune functions in humans.

The human genome has been referred to as the blueprint of human biology. In this review we consider an essential but largely ignored overlay to that blueprint, the human microbiome, which is composed of those microbes that live in and on our bodies. The human microbiome is a source of genetic diversity, a modifier of disease, an essential component of immunity, and a functional entity that influences metabolism and modulates drug interactions. Characterization and analysis of the human microbiome have been greatly catalyzed by advances in genomic technologies. We discuss how these technologies have shaped this emerging field of study and advanced our understanding of the human microbiome. We also identify future challenges, many of which are common to human genetic studies, and predict that in the future, analyzing genetic variation and risk of human disease will sometimes necessitate the integration of human and microbial genomic data sets.

Liver cancer is the sixth-most-common cancer overall but the third-most-frequent cause of cancer death. Among primary liver cancers, hepatocellular carcinoma (HCC), the major histological subtype, is associated with multiple risk factors, including hepatitis B and C virus infection, alcohol consumption, obesity, and diet contamination. Although previous studies have revealed that certain genetic and epigenetic changes, such as TP53 and β-catenin mutations, occur in HCC cells, the pathogenesis of this cancer remains obscure. Functional genomic approaches—including genome-wide association studies, whole-genome and whole-exome sequencing, array-based comparative genomic hybridization, global DNA methylome mapping, and gene or noncoding RNA expression profiling—have recently been applied to HCC patients with different clinical features to uncover the genetic risk factors and underlying molecular mechanisms involved in this cancer's initiation and progression. The genome-wide analysis of germline and somatic genetic and epigenetic events facilitates understanding of the pathogenesis and molecular classification of liver cancer as well as the identification of novel diagnostic biomarkers and therapeutic targets for cancer.

A fatal contagious cancer is driving an entire species to extinction. Comparative genomics will unravel the origin and evolution of devil facial tumor disease (DFTD). The DFTD allograft arose from a Schwann cell in a female Tasmanian devil more than 15 years ago; since then, the tumor has passed through at least 100,000 hosts, evolving and mutating along the way. Tumor genome sequencing and molecular cytogenetic technologies now allow direct comparisons of candidate genes involved in tumorigenesis in human cancers. As a stable transmissible cancer, DFTD provides unique insights into cancer development, progression, and immune evasion and is likely to help increase our understanding of human cancer. In addition, these studies provide hope for discoveries of drug targets or vaccine candidates that will prevent the extinction of this iconic Australian marsupial.

Sudden cardiac death (SCD), a sudden pulseless condition due to cardiac arrhythmia, remains a major public health problem despite recent progress in the treatment and prevention of overall coronary heart disease. In this review, we examine the evidence for genetic susceptibility to SCD in order to provide biological insight into the pathogenesis of this devastating disease and to explore the potential for genetics to impact clinical management of SCD risk. Both candidate gene approaches and unbiased genome-wide scans have identified novel biological pathways contributing to SCD risk. Although risk stratification in the general population remains an elusive goal, several studies point to the potential utility of these common genetic variants in high-risk individuals. Finally, we highlight novel methodological approaches to deciphering the molecular mechanisms involved in arrhythmogenesis. Although further epidemiological and clinical applications research is needed, it is increasingly clear that genetic approaches are yielding important insights into SCD that may impact the public health burden imposed by SCD and its associated outcomes.

A large segment of the population suffers from addiction to alcohol, smoking, or illicit drugs. Not only do substance abuse and addiction pose a threat to health, but the consequences of addiction also impose a social and economic burden on families, communities, and nations. Genome-wide linkage and association studies have been used for addiction research with varying degrees of success. The most well-established genetic factors associated with alcohol dependence are in the genes encoding alcohol dehydrogenase (ADH), which oxidizes alcohol to acetaldehyde, and aldehyde dehydrogenase (ALDH2), which oxidizes acetaldehyde to acetate. Recently emerging genetic studies have linked variants in the genes encoding the α3, α5, and β4 nicotinic acetylcholine receptor subunits to smoking risk. However, the influence of these well-established genetic variants accounts for only a small portion of the heritability of alcohol and nicotine addiction, and it is likely that there are both common and rare risk variants yet to be identified. Newly developed DNA sequencing technologies could potentially advance the detection of rare variants with a larger impact on addiction risk.

Orofacial clefts (OFCs)—primarily cleft lip and cleft palate—are among the most common birth defects in all populations worldwide, and have notable population, ethnicity, and gender differences in birth prevalence. Interest in these birth defects goes back centuries, as does formal scientific interest; scientists often used OFCs as examples or evidence during paradigm shifts in human genetics, and have also used virtually every new method of human genetic analysis to deepen our understanding of OFC. This review traces the evolution of human genetic investigations of OFC, highlights the specific insights gained about OFC through the years, and culminates in a review of recent key OFC genetic findings resulting from the powerful tools of the genomics era. Notably, OFC represents a major success for genome-wide approaches, and the field is poised for further breakthroughs in the near future.

The 15 years since the discovery of fetal DNA in maternal plasma have witnessed remarkable developments in noninvasive prenatal diagnosis. An understanding of biological parameters governing this phenomenon, such as the concentration and molecular size of circulating fetal DNA, has guided its diagnostic applications. Early efforts focused on the detection of paternally inherited sequences, which were absent in the maternal genome, in maternal plasma. Recent developments in precise measurement technologies such as digital polymerase chain reaction (PCR) have allowed the detection of minute allelic imbalances in plasma and have catalyzed analysis of single-gene disorders such as the hemoglobinopathies and hemophilia. The advent of massively parallel sequencing has enabled the robust detection of fetal trisomies in maternal plasma. Recent proof-of-concept studies have detected a chromosomal translocation and a microdeletion and have deduced a genome-wide genetic map of a fetus from maternal plasma. Understanding the ethical, legal, and social aspects in light of such rapid developments is thus a priority for future research.

In 1964, Christian de Duve first suggested that enzyme replacement might prove therapeutic for lysosomal storage diseases (LSDs). Early efforts identified the major obstacles, including the inability to produce large quantities of the normal enzymes, the lack of animal models for proof-of-concept studies, and the potentially harmful immune responses to the “foreign” normal enzymes. Subsequently, the identification of receptor-mediated targeting of lysosomal enzymes, the cloning and overexpression of human lysosomal genes, and the generation of murine models markedly facilitated the development of enzyme replacement therapy (ERT). However, ERT did not become a reality until the early 1990s, when its safety and effectiveness were demonstrated for the treatment of type 1 Gaucher disease. Today, ERT is approved for six LSDs, and clinical trials with recombinant human enzymes are ongoing in several others. Here, we review the lessons learned from 20 years of experience, with an emphasis on the general principles for effective ERT and the remaining challenges.

A large number of algorithms have been developed to classify individuals into discrete populations using genetic data. Recent results show that the information used by both model-based clustering methods and principal components analysis can be summarized by a matrix of pairwise similarity measures between individuals. Similarity matrices have been constructed in a number of ways, usually treating markers as independent but differing in the weighting given to polymorphisms of different frequencies. Additionally, methods are now being developed that take linkage into account. We review several such matrices and evaluate their information content. A two-stage approach for population identification is to first construct a similarity matrix and then perform clustering. We review a range of common clustering algorithms and evaluate their performance through a simulation study. The clustering step can be performed either on the matrix or by first using a dimension-reduction technique; we find that the latter approach substantially improves the performance of most algorithms. Based on these results, we describe the population structure signal contained in each similarity matrix and find that accounting for linkage leads to significant improvements for sequence data. We also perform a comparison on real data, where we find that population genetics models outperform generic clustering approaches, particularly with regard to robustness for features such as relatedness between individuals.

University teaching remains an area of concern, and perhaps the most difficult discipline for both teaching and learning is evolution. The concepts that underpin evolution, although complex, have been shown to be fairly straightforward, yet students arrive at and leave university with serious misconceptions, misunderstandings related to language, and often a reluctance to learn the subject because of cultural or societal pressures. Because of the unifying power of the theory, however, it is necessary not only for biology students to have a thorough understanding of evolution, but also for them to learn it in their first year so that this knowledge can then be taken into further years of study. Rather than teaching evolution at the end of a degree program, embedding it as a semester-long first-year course will ensure that a far larger number of students are made aware of misconceptions that they have brought with them from high school. Teaching through traditional passive lectures makes learning difficult conceptual material more difficult, and needs to be replaced with more interactive lectures coupled with inquiry-based practicals and small group-learning sessions to increase student engagement and interest in the subject. A new approach in pedagogy, curriculum design, and academic staff professional development is essential, especially at this time, when enrollments across science courses in many countries around the world are in decline.

Continued technological advances have made the prospect of routine whole-genome sequencing (WGS) imminent. To date, much of the discussion about WGS has focused on its application and use in clinical medicine. Relatively little attention has been paid to the potential integration of WGS into newborn screening programs. Given the structure and scope of these programs, it is possible that the early applications of WGS will occur in state-run newborn screening programs. Assessment of the pressing ethical issues currently facing the newborn screening community will provide insight into the challenges that lie ahead in the genomics era.

There are an increasing number of population studies collecting data and samples to illuminate gene-environment contributions to disease risk and health. The rising affordability of innovative technologies capable of generating large amounts of data helps achieve statistical power and has paved the way for new international research collaborations. Most data and sample collections can be grouped into longitudinal, disease-specific, or residual tissue biobanks, with accompanying ethical, legal, and social issues (ELSI). Issues pertaining to consent, confidentiality, and oversight cannot be examined using a one-size-fits-all approach—the particularities of each biobank must be taken into account. It remains to be seen whether current governance approaches will be adequate to handle the impact of next-generation sequencing technologies on communication with participants in population biobanking studies.

Next-generation sequencing and global data sharing challenge many of the governance mechanisms currently in place to protect the privacy of research participants. These challenges will make it more difficult to guarantee anonymity for participants, provide information to satisfy the requirements of informed consent, and ensure complete withdrawal from research when requested. To move forward, we need to improve the current governance systems for research so that they are responsive to individual privacy concerns but can also be effective at a global level. We need to develop a system of e-governance that can complement existing governance systems but that places greater reliance on the use of technology to ensure compliance with ethical and legal requirements. These new governance structures must be able to address the concerns of research participants while at the same time ensuring effective data sharing that promotes public trust in genomics research.

Genetic discrimination (GD) is a complex, multifaceted ethical, psychosocial, and legal phenomenon. It is defined as the differential treatment of asymptomatic individuals or their relatives on the basis of their real or assumed genetic characteristics. This article presents an overview of GD within the contemporary international context. It describes the concept of GD and its contextual features, reviews research evidence regarding people's experiences of GD and the impact of GD within a range of domains, and provides an overview of legal and policy responses to GD that have emerged globally. We argue that GD is a significant and internationally established phenomenon that requires multilevel responses to ensure social justice and equitable outcomes for all citizens. Future research should monitor GD and its impacts within the community as well as institutions and should evaluate the effectiveness of legislative, policy, community education, and systemic responses.