Annual Review of Genomics and Human Genetics

For nearly three decades, the sequence of the human mitochondrial genome (mtDNA) has provided a molecular framework for understanding maternally inherited diseases. However, the vast majority of human mitochondrial disorders are caused by nuclear genome defects, which is not surprising since the mtDNA encodes only 13 proteins. Advances in genomics, mass spectrometry, and computation have only recently made it possible to systematically identify the complement of over 1,000 proteins that comprise the mammalian mitochondrial proteome. Here, we review recent progress in characterizing the mitochondrial proteome and highlight insights into its complexity, tissue heterogeneity, evolutionary origins, and biochemical versatility. We then discuss how this proteome is being used to discover the genetic basis of respiratory chain disorders as well as to expand our definition of mitochondrial disease. Finally, we explore future prospects and challenges for using the mitochondrial proteome as a foundation for systems analysis of the organelle.

Debate on the validity and reliability of scientific methods often arises in the courtroom. When the government (i.e., the prosecution) is the proponent of evidence, the defense is obliged to challenge its admissibility. Regardless, those who seek to use DNA typing methodologies to analyze forensic biological evidence have a responsibility to understand the technology and its applications so a proper foundation(s) for its use can be laid. Mitochondrial DNA (mtDNA), an extranuclear genome, has certain features that make it desirable for forensics, namely, high copy number, lack of recombination, and matrilineal inheritance. mtDNA typing has become routine in forensic biology and is used to analyze old bones, teeth, hair shafts, and other biological samples where nuclear DNA content is low. To evaluate results obtained by sequencing the two hypervariable regions of the control region of the human mtDNA genome, one must consider the genetically related issues of nomenclature, reference population databases, heteroplasmy, paternal leakage, recombination, and, of course, interpretation of results. We describe the approaches, the impact some issues may have on interpretation of mtDNA analyses, and some issues raised in the courtroom.

Noninvasive prenatal genetic testing (NIPT) for chromosomal aneuploidy involving the analysis of cell-free fetal DNA became commercially available in 2011. The low false-positive rate of NIPT, which reduces unnecessary prenatal invasive diagnostic procedures, has led to broad clinician and patient adoption. We discuss the ethical, legal, and social issues raised by rapid and global dissemination of NIPT. The number of women using NIPT is anticipated to expand, and the number of conditions being tested for will continue to increase as well, raising concerns about the routinization of testing and negative impacts on informed decision making. Ensuring that accurate and balanced information is available to all pregnant women and that access to NIPT is equitable will require policy guidance from regulators, professional societies, and payers. Empirical evidence about stakeholders' perspectives and experiences will continue to be essential in guiding policy development so that advances in NIPT can be used effectively and appropriately to improve prenatal care.

▪ Abstract  Systems biology studies biological systems by systematically perturbing them (biologically, genetically, or chemically); monitoring the gene, protein, and informational pathway responses; integrating these data; and ultimately, formulating mathematical models that describe the structure of the system and its response to individual perturbations. The emergence of systems biology is described, as are several examples of specific systems approaches.

Killer immunoglobulin-like receptors (KIRs) are molecules expressed on the surface of natural killer (NK) cells, which play an important role in innate immunity. KIR recognition of major histocompatability complex (MHC) class I allotypes represents one component of the complex interactions between NK cells and their targets in determining NK cell reactivity. KIRs are encoded by a gene cluster at human chromosome 19q13.4. Despite their high degree of sequence identity, KIR genes encode proteins that have diverse recognition patterns (specific HLA class I allotypes) and confer opposing signals (activating or inhibitory) to the NK cell. The KIR gene cluster is highly polymorphic, with individual genes exhibiting allelic variability and individual haplotypes differing in gene content. The polymorphism of the KIR locus parallels that of the MHC, facilitating the adaptation of the immune system to a dynamic, challenging environment. This variation is associated with a growing number of human diseases, which is likely to extend to levels observed for the HLA loci. Here we review current progress in understanding KIR biology and genetics.

▪ Abstract  High-throughput sequencing of human genomes and those of important model organisms (mouse, Drosophila melanogaster, Caenorhabditis elegans, fungi, archaea) and bacterial pathogens has laid the foundation for another “big science” initiative in biology. Together, X-ray crystallographers, nuclear magnetic resonance (NMR) spectroscopists, and computational biologists are pursuing high-throughput structural studies aimed at developing a comprehensive three-dimensional view of the protein structure universe. The new science of structural genomics promises more than 10,000 experimental protein structures and millions of calculated homology models of related proteins. The evolutionary underpinnings and technological challenges of automating target selection, protein expression and purification, sample preparation, NMR and X-ray data measurement/analysis, homology modeling, and structure/function annotation are discussed in detail. An informative case study from one of the structural genomics centers funded by the National Institutes of Health and the National Institute of General Medical Sciences (NIH/NIGMS) demonstrates how this experimental/computational pipeline will reveal important links between form and function in biology and provide new insights into evolution and human health and disease.

The RASopathies are a clinically defined group of medical genetic syndromes caused by germline mutations in genes that encode components or regulators of the Ras/mitogen-activated protein kinase (MAPK) pathway. These disorders include neurofibromatosis type 1, Noonan syndrome, Noonan syndrome with multiple lentigines, capillary malformation–arteriovenous malformation syndrome, Costello syndrome, cardio-facio-cutaneous syndrome, and Legius syndrome. Because of the common underlying Ras/MAPK pathway dysregulation, the RASopathies exhibit numerous overlapping phenotypic features. The Ras/MAPK pathway plays an essential role in regulating the cell cycle and cellular growth, differentiation, and senescence, all of which are critical to normal development. Therefore, it is not surprising that Ras/MAPK pathway dysregulation has profound deleterious effects on both embryonic and later stages of development. The Ras/MAPK pathway has been well studied in cancer and is an attractive target for small-molecule inhibition to treat various malignancies. The use of these molecules to ameliorate developmental defects in the RASopathies is under consideration.

▪ Abstract  Glaucoma describes a group of diseases that kill retinal ganglion cells. There are different types of glaucoma, and each appears to be genetically heterogeneous. Different glaucoma genes have been identified, but these genes account for only a small proportion of glaucoma. Most glaucoma cases appear to be multifactorial, and are likely affected by multiple interacting loci. A number of genetic susceptibility factors have been suggested to contribute to glaucoma. These factors fit into two broad groups, those affecting intraocular pressure and those important in modulating retinal ganglion cell viability. Defining the complex genetics of glaucoma will require significant further study of the human disease and animal models. Genetic approaches are essential and will be enhanced by recently developed genomic and proteomic technologies. These technologies will provide valuable clues about pathogenesis for subsequent testing. In this review, we focus on endogenous genetic susceptibility factors and on how experimental studies will be valuable for dissecting the multifactorial complexity of their interactions.

Genetic studies have provided valuable insight into the pathological mechanisms underlying Parkinson's disease (PD). The elucidation of genetic components to what was once largely considered a nongenetic disease has given rise to a multitude of cell and animal models enabling the dissection of molecular pathways involved in disease etiology. Here, we review advances obtained from models of dominant mutations in α-synuclein and LRRK2 as well as recessive PINK1, parkin and DJ-1 mutations. Recent genome-wide association studies have implicated genetic variability at two of these loci, α-synuclein and LRRK2, as significant risk factors for developing sporadic PD. This, coupled with the established role of mitochondrial impairment in both familial and sporadic PD, highlights the likelihood of common mechanisms fundamental to the etiology of both.

The genome sequences of multiple species has enabled functional inferences from comparative genomics. A primary objective is to infer biological functions from the conservation of homologous DNA sequences between species. A second, more difficult, objective is to understand what functional DNA sequences have changed over time and are responsible for species' phenotypic differences. The neutral theory of molecular evolution provides a theoretical framework in which both objectives can be explicitly tested. Development of statistical tests within this framework has provided insight into the evolutionary forces that constrain and in some cases change DNA sequences and the resulting patterns that emerge. In this article, we review recent work on how functional constraint and changes in protein function are inferred from protein polymorphism and divergence data. We relate these studies to our understanding of the neutral theory and adaptive evolution.