Medicine:Human disease modifier gene

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Short description: Type of modifier gene

A human disease modifier gene is a modifier gene[1][2] that alters expression of a human gene at another locus that in turn causes a genetic disease. Whereas medical genetics has tended to distinguish between monogenic traits, governed by simple, Mendelian inheritance, and quantitative traits, with cumulative, multifactorial causes, increasing evidence suggests that human diseases exist on a continuous spectrum between the two.[3]

In the context of human disease, the terms 'modifier gene' and 'oligogene' have similar meanings, and characterization of a particular locus depends on characterization of the phenotype (effects) that it causes or modifies. The term 'modifier gene' may be taken to mean a gene in which genetic variation modifies the effects of mutation at a major locus, but has no effect on the normal condition, a condition not necessarily met for oligogenic interactions.[1] The study of diseases that arise from interactions amongst genes is important for understanding the genetic basis of disease. For these purposes, the study of both modifier genes and oligogenes are useful.

Theoretical origins

Early theories that established the likely existence of modifier genes, and gene interactions as determinants of phenotypic variation, originated from theories of evolution, notably the evolution of the condition of allelic dominance. While many insightful early theorists contributed to current understanding of modifier genes, emphasized here are the theories of Ronald A. Fisher, Sewall Wright, and John B. S. Haldane. Fisher and Wright proposed somewhat opposing theories of the evolution of dominance in 1928 and 1931 respectively. Both sought to explain the observation that overwhelmingly, wild-type alleles were dominant to a majority of deleterious mutations.[4] Their theories on the evolution of dominance had far-reaching implications for the fields of evolution, population and quantitative genetics, and biochemistry, and laid the early foundation of current understanding of human disease modifier genes.

Fisher theorized that, since negative selective pressures are strongest against dominant, deleterious mutations, de novo mutations that arise are initially codominant, but evolve recessivity through the accumulation of modifier alleles at other loci that attenuate disadvantageous phenotypes.[5] He cited breeding experiments in nasturtium and Drosophila, in which a distinct, mutant phenotype is lost with successive outcrossings, and recovered with inbreeding of offspring.[6] By outcrossing, he argued, the breeder selects for modifying factors that attenuate the mutant phenotype, and by inbreeding and limiting the gene pool of modifiers, the dominance of the mutation is recovered. Importantly, Fisher argues that, "even in small isolated stocks, a sufficient variety of modifying factors" exists to observe this evolution of dominance in an observable succession of generations.[6]

Wright challenged Fisher's theory and proposed that dominance of wild-type alleles evolves not by selection of modifiers, but by selection for physiological margins in biochemical pathways, that often allows them to function even with the occurrence of mutations, for instance in component enzymes. He argued that the effects of competition and genetic drift on populations, limited in genetic diversity, would overwhelm weak selection pressure acting on modifier alleles with nominal phenotypic consequences.[7][4]

Ultimately, Wright's explanation of the evolution of dominance garnered most support, from experimental biochemists and geneticists, and later theorists,[8][9][10] but it was Fisher's theory that first introduced the concept of modifier genes.

For the field of modifier genes, the most important responses to Fisher's theory came from Haldane. Haldane showed that, contrary to Fisher's argument, despite a decreased intensity of selection for dominance in self-fertilized populations, dominance is often more common in inbred than in outbred plant species.[10] In 1941, Haldane applied the genetic model of modifier genes, which originated from theories of on the evolution of dominance, to phenotypic disease variation in humans. He analyzed data collected by Julia Bell on the heritability of several human diseases with quantitative phenotypes, specifically variation in age of onset.[11] From this data, Haldane concluded that no single factor could be proven responsible for the observed phenotypic variation, in what were considered to be simple, monogenic diseases. He proposed a very simple theory, yet one that is operative in the study of oligogenic and complex human genetic disorders today. Haldane proposed that there exist three possible sources of observed phenotypic variation in monogenic traits:[11]

  1. differences in the main gene itself
  2. differences in modifying genes
  3. differences in environment

Model diseases

Haldane provided a fundamental, theoretical basis for the existence of modifier genes. Emerging experimental evidence has substantiated the likely existence and importance of modifier genes of human genetic disease, and a few diseases serve as models for the course of this emerging evidence.

Phenylketonuria

Characterization of the metabolic disorder, phenylketonuria (PKU) represents a progression from an initial biochemical discovery that informed genetic studies and led to an understanding that genetic heterogeneity within a major locus, and in addition to it, was responsible for variation in clinical phenotypes.[3] In 1953, G. A. Jervis identified a defect in the hepatic enzyme phenylalanine hydroxylase (PAH) as a cause of PKU.[12] This led to the understanding that aberrant phenylalanine metabolism was responsible for the observed phenotype and to the development of diagnostics measuring blood or urine phenylalanine levels.[13] Importantly, the development of clinical diagnostics facilitated better characterization of phenotypic variation, eliciting theories that genetic variation may underlie these observations. In 1983, Woo et al. mapped and cloned that PAH gene confirming theorized allelic heterogeneity.[14] Importantly, phenotypic heterogeneity unexplained by allelic heterogeneity in the PAH gene was observed over time and new mutations in tetrahydrobiopterin recycling were characterized such as by Blau et al. in 1993.[15]

Cystic fibrosis

Research on cystic fibrosis (CF) exhibits a progression from genetic to molecular characterization of the major locus, CFTR. In 1985, the gene was mapped by linkage analysis by Tsui et al.,[16] and in 1989, the gene was cloned by Riordan et al.[17] When analyses of allelic variation in CFTR did not suffice to yield dependable genotype–phenotype correlations or explain the total phenotypic heterogeneity in CF, the existence of modifier loci was suspected and association studies, such as by Zielenski et al. in 1999, have identified and characterized these loci.[18]

Application to genetic disease

Characterization of human disease modifier genes and oligogenic inheritance holds promise for understanding the abundance of phenotypic variation in human disease, which poses great challenge for therapies that are individually effective. Characterization of these phenotypes and the genes responsible for them, has relied on a combination of molecular techniques typically used to characterizing simple, monogenic disease, and statistical methods, typically used to characterize complex traits.[3]

Understanding the mechanism of disease modifier genes and oligogenic inheritance may provide unique insights into the functions of gene-gene interactions that underlie human disease. Currently, techniques for molecular characterization of disease mechanisms are established for many monogenic diseases, but these studies do not improve understanding of genetic interactions and their phenotypic implications. Methodology for studying complex traits are primarily statistical, and involve large human populations in which genetic modifiers cannot be experimentally manipulated. Thus, in human populations the roles of genetic modifiers are often established by statistical implications, without evidence for causation or opportunity for functional characterization. The study of human disease modifiers and oligogenic disease is a hybrid field that can yield unique and comprehensive insight into complex mechanistic causes of human disease, necessary for the development of effective therapeutics[3]

Characterizing complex multi-gene interactions responsible for disease- and further, developing effective therapeutics- is exceedingly difficult, and the molecular mechanisms of few oligogenic diseases have been elucidated. Retinitis pigmentosa is one disease for which genes responsible for phenotypic variation are identified and the molecular mechanisms by which they interact characterized.[3] Mutations in the human RDS gene have been found, which reduce the formation of functional Rds-Rds protein homodimers, and with digenic inheritance of mutation in ROM1, prevent tetramerization of Rds-Rds and Rom1-Rom1 homodimers. In the double mutant condition, dosage of functional tetrameric complex is sufficiently reduced to cause RP.[19][20]

Short of the challenge of thoroughly understanding of the molecular basis of complex disease, studying modifier genes and oligogenes can improve clinical diagnoses and prognoses, by combinatorially improving the accuracy genotype–phenotype correlations and shifting from clinical reliance on epidemiological data to patient-specific genetic and biological data. Ultimately, developing therapeutics for human disease informed by an understanding of its molecular mechanisms is challenging. In the case where multi-gene interactions give rise to disease, a series of thorough methodological steps must be taken to determine these mechanisms.

For the common case in which a major locus is causally associated with disease, but there exists considerable, unexplained phenotypic variation, this process of discovery typically begins with establishing heritability of the disease phenotype, and the reasonable likelihood that modifier genes contribute to the observed phenotypic variation. The process proceeds with the identification of modifier loci and functional determination of the mechanisms of their interactions with other disease-causing genes, and culminates with the discovery and development of effective therapeutics for disease, informed by mechanistic understanding of the functions of modifier genes. For skilled researchers using modern techniques, each step in this process of curing human genetic disease by studying modifier gene interactions poses great challenges.

Characterizing modifier gene interactions may not be the easiest approach to curing disease. This is certainly true in the case that modifier genes do not exist or functionally contribute to the disease phenotype of interest. Thus, the first step of establishing the likelihood that modifier genes indeed exist and contribute to observed variation is crucial to this described research process. This is typically done by eliminating other sources of heterogeneity as likely causes of the phenotypic variation in the disease of interest. Recalling Haldane's model, these sources of are generally classified as 1) genetic variation in the major locus 2) other sources of genetic heterogeneity, which include but are not limited to modifier genes, and 3) environmental influences.[11]

Establishing residual heritability

Crucial to the efficient study of the molecular basis of human genetic disease via genetic modifiers is first establishing that clinical variation in the phenotype cannot be otherwise explained by factors such as major locus heterogeneity or environmental influences. Methods of establishing disease heritability attributable to modifier genes can be categorized into familial studies and whole-population studies.

Familial studies of phenotypic variation and heritability to establish the existence of modifier loci found themselves on fundamental principles. If heterogeneity in modifier loci underlies observed phenotypic variation, then, on the whole, the more similar their genetic backgrounds, the more similar will be their phenotypes. Thus, interfamilial phenotypic variation will be greater than intrafamilial variation.[1] Researchers use sibling and twin studies, for instance, to estimate heritability of a phenotype, controlling for sources of variation such as major locus heterogeneity and environmental influence. In one such example, Vanscoy et al. compare lung function between monozygotic and dizygotic twin pairs, as well as siblings with cystic fibrosis (CF). By comparing phenotype correlations between relatives, they estimate, using several models, heritability factors of lung function all greater than 0.5, after correcting for variation in major locus (CFTR) genotype and other sources of variation,[21] and this significant proportion of sources of variation invites further study to characterize these factors.

Whole-population approaches are another important method of demonstrating the probability of modifier gene interactions. These approaches typically involve more complex statistical modeling, but ultimately serve the same purpose of family studies, by controlling for sources of phenotypic variance in disease populations to estimate the degree of residual heritability attributable to modifier loci. Wexler et al. use these methods in a sample of about 4,000 Huntington's disease (HD) patients from one of the world's best characterized populations in Venezuela to estimate that about 40% of residual variation in age of onset is attributable to unidentified genetic loci, aside from the HD locus.[22]

Identifying modifier loci

Perhaps most obviously important to understanding the roles of modifier loci in causing human genetic disease is identifying them. The size and complexity of the human genome make this a challenging task. Methods of identifying modifier loci can be categorized into three major approaches: genotype–phenotype correlations, linkage and association studies, and experimental phenotypic analyses in animal models.[3]

Commonly, speculation of the responsibility of modifier loci for phenotypic variation of human disease arises from observations of genotype–phenotype correlations that deviate from simple, Mendelian inheritance of mutations at a single locus. Bardet–Biedl syndrome (BBS) provides one such example. BBS is a genetically-heterogeneous disorder with at least 6 known causative loci. It was initially thought that recessive inheritance of mutations at any one of these loci caused the disease, but once the first BBS gene, BBS6, was cloned, mutational and haplotype analysis revealed that some mutations did not conform to the expected monogenic, recessive transmission.[3] Katsanis, et al. were the first to demonstrate the phenomenon of 'triallelic' inheritance, a form of digenic inheritance, of BBS, which initially seemed to be transmitted in a recessive manner. With genotyping of 163 BBS pedigrees, they demonstrated that manifestation of the disease likely requires the presence of three mutant alleles, including those in BBS2, BBS6, and possibly in other loci[23] and they identified a digenic mechanism of inheritance in what was previously considered to be a simple, Mendelian disorder.

Genetic linkage analysis and association studies are widely used methods of identifying modifier loci. The advent of new genetic markers and automated genotyping methods have led to great diversity in applications of these studies.[24] Common methodologies used to identify human disease modifier loci include linkage analysis in families, candidate association studies, and whole-genome association studies.

In an example of a familial linkage study, genotyping and linkage analysis conducted in a population of 197 sibpairs and their parents identified a single modifier gene responsible for meconium ileus, an intestinal obstruction phenotype detected in a subset of CF patients.[18] Their study provides an example of the utility and feasibility of linkage analysis in identifying modifier loci, by simple genotyping and linkage analysis, especially where phenotypes under study are binary, and a subset of candidate markers can be tested.

Associations studies, genome-wide or biologically-informed candidate approaches, can also reveal modifier loci. To identify genes responsible for disease, association studies commonly compare case and control populations with and without phenotypic indications of the disease of interest respectively. To identify modifier loci of diseases of interest, for which causative major loci are commonly established, researchers consider a population composed only of individuals affected by the disease. Distribution of marker genotype is compared in patients with and without 'modified' phenotypes of interest to detect markers in linkage disequilibrium with potential modifier loci.[25][26][27] Association studies for detecting markers linked to modifier loci require large populations and dense maps of genomic markers, especially to detect markers of subtle effect on phenotypes for which quantification or dichotomization may be challenging. Since these types of association studies are constrained to populations of patients affected by a disease, a primary challenge is collecting a sizable population that will lend the study sufficient statistical power.[1] While, genome-wide approaches to association studies are systematic and comprehensive, candidate approaches spare the researcher some of the rigor of statistical analyses, for instance reducing the need for multiple testing corrections, but require informed selection of candidates.[1]

Milet et al. conducted a candidate association study for modifiers of genetic hemochromatosis (GH), to explain its variable penetrance. Where most cases of GH are caused by mutations in the HFE gene, they focus on genes in two candidate pathways, those involved in non-HFE GH and those involved in expression of the iron storage hormone hepcidin, and find evidence that several common SNPs in these candidates modify serum ferritin levels.[25] The identified modifier loci have established roles in iron metabolism and, with very simple interpretation, their results suggest future avenues for functional study, a corollary of their informed, candidate approach.

Corvol et al. conducted a whole-genome association study to identify modifiers of CF lung disease, identifying five associated loci. Their methods exemplify the large sample size required to conduct a statistically powerful analysis capable of identifying loci of relatively small effects. To obtain a large population, of 6,365 patients, they combine data on new and previously reported subjects and use linear mixed models that allow for the inclusion of affected siblings.[27] The Genetic Modifiers of Huntington's Disease (GeM-HD) Consortium conducted a similar genome-wide association study, the first to demonstrate modifier loci modulating age of onset phenotype in Huntington's disease (HD). Their analyses were conducted on a population of 1,089 individuals affected by HD, genetic samples for which were collected over a period of almost 30 years.[26]

Genotype-phenotype correlations, and linkage and association analyses in humans can effectively identify modifier genes with statistical support, but do not establish functional or causative effects of modifier genes. While genetic backgrounds cannot be experimentally manipulated in human populations, transgenic expression of modifier genes in animal models has been effectively used to show that variation in specific loci can cause phenotypic variation. For example, Ikeda et al. established that moth1 is a modifier gene of the tub gene, mutations in which cause obesity, retinal degeneration and hearing loss in tubby mice.[28][3] In the wild-type form, the protein Mtap1a, encoded by neuronally-expressed moth1, is protective against hearing loss. Ikeda et al. showed, by transgenic expression in mice, that sequence polymorphisms in Mtap1a are crucial in causing the hearing-loss phenotype associated with tub gene mutation.[28]

Unexplained heritability

Unexplained variation in human disease phenotype is a complex issue, and with established methodologies of identifying and characterizing modifier genes, it is tempting to pursue them as explanation, with the potential to lead to a better understanding of the biological mechanisms of disease, such as by characterized interactions between gene products.[1]

But identifying new modifier loci is challenging, and becomes more so, as those variants most easily detectable by current methods are increasingly identified and characterized. Still, for a majority human genetic diseases, less than 20% of heritability is explained by known variants.[29] Some argue that unexplained heritability may be due to many rare variants, which typical association studies are not designed to detect, or structural genetic variation. Though the challenging identification of new genetic variants may not be the most efficient approach to developing mechanistically-informed drugs, it may lead to the development of more safe, individualized, and effective interventional strategies, risk-assessments and prognoses.[30]

Zuk et al. argue that biomedical research should focus on interacting molecular mechanisms of genetic variants already discovered. They argue that genetic interactions are common. Widely used estimates of narrow-sense heritability, the ratio of additive genetic variance (calculated from measured effects of known variants) to total phenotypic variance (inferred from population data) assume additive effects in the heritability effects of variants. For most human traits, this fraction remains below 0.2. They argue that the assumption that heritability effects are additive overestimates heritability attributable to all genetic variation underlying disease, and thus underestimates the fraction of heritability attributable to already-discovered ones. Thus, they argue, research should focus on the molecular bases of already-discovered variants, as estimates of discovered sources of heritability are flawed, and there is insufficient evidence that undiscovered genetic modifiers exist. Furthermore, "the proportion of phenotypic variance explained by a variant in the human population is a notoriously poor predictor of the importance of the gene for biology or medicine," and effective therapeutics may target products of genes that explain very little of the clinically-observed variation in phenotype.[29]

References

  1. ↑ 1.0 1.1 1.2 1.3 1.4 1.5 "Identifying modifier genes of monogenic disease: strategies and difficulties". Human Genetics 124 (4): 357–68. 2008. doi:10.1007/s00439-008-0560-2. PMID 18784943. 
  2. ↑ "Modifier Gene". Genetics Glossary. Growth, Genetics and Hormones.. 1997. http://www.kumc.edu/GEC/gloss.html. 
  3. ↑ 3.0 3.1 3.2 3.3 3.4 3.5 3.6 3.7 "Beyond Mendel: an evolving view of human genetic disease transmission". Nature Reviews. Genetics 3 (10): 779–89. 2002. doi:10.1038/nrg910. PMID 12360236. 
  4. ↑ 4.0 4.1 "The evolution of dominance". Heredity 83 ( Pt 1): 1–4. 1999. doi:10.1038/sj.hdy.6885600. PMID 10447697. 
  5. ↑ "The Possible Modification of the Response of the Wild Type to Recurrent Mutations". The American Naturalist 62 (679): 115–126. March 1928. doi:10.1086/280193. 
  6. ↑ 6.0 6.1 "The Evolution of Dominance". Biological Reviews 6 (4): 345–368. October 1931. doi:10.1111/j.1469-185X.1931.tb01030.x. 
  7. ↑ "Evolution in Mendelian Populations". Genetics 16 (2): 97–159. 1931. doi:10.1093/genetics/16.2.97. PMID 17246615. 
  8. ↑ "The molecular basis of dominance". Genetics 97 (3–4): 639–66. 1981. doi:10.1093/genetics/97.3-4.639. PMID 7297851. 
  9. ↑ "A test of Fisher's theory of dominance". Proceedings of the National Academy of Sciences of the United States of America 88 (24): 11413–5. 1991. doi:10.1073/pnas.88.24.11413. PMID 1763055. 
  10. ↑ 10.0 10.1 "The theory of the evolution of dominance". Journal of Genetics 37 (2): 365–374. February 1939. doi:10.1007/BF02982734. 
  11. ↑ 11.0 11.1 11.2 "The relative importance of principal and modifying genes in determining some human diseases". Journal of Genetics 41 (2–3): 149–157. January 1941. doi:10.1007/BF02983018. 
  12. ↑ "Phenylpyruvic oligophrenia deficiency of phenylalanine-oxidizing system". Proceedings of the Society for Experimental Biology and Medicine 82 (3): 514–5. 1953. PMID 13047448. 
  13. ↑ "A simple phenylalanine method for detecting phenylketonuria in large populations of newborn infants". Pediatrics 32: 338–43. 1963. PMID 14063511. 
  14. ↑ "Cloned human phenylalanine hydroxylase gene allows prenatal diagnosis and carrier detection of classical phenylketonuria". Nature 306 (5939): 151–5. 1983. doi:10.1038/306151a0. PMID 6316140. 
  15. ↑ Blau, Nenad; Thöny, Beat; Heizmann, Claus W.; Dhondt, Jean-Louis (January 1993). "Tetrahydrobiopterin Deficiency: From Phenotype to Genotype". Pteridines 4 (1): 1–10. doi:10.1515/pteridines.1993.4.1.1. https://www.zora.uzh.ch/id/eprint/155436/1/ZORA_NL_155436.pdf. 
  16. ↑ "Cystic fibrosis locus defined by a genetically linked polymorphic DNA marker". Science 230 (4729): 1054–7. 1985. doi:10.1126/science.2997931. PMID 2997931. 
  17. ↑ "Identification of the cystic fibrosis gene: cloning and characterization of complementary DNA". Science 245 (4922): 1066–73. 1989. doi:10.1126/science.2475911. PMID 2475911. 
  18. ↑ 18.0 18.1 "Detection of a cystic fibrosis modifier locus for meconium ileus on human chromosome 19q13". Nature Genetics 22 (2): 128–9. 1999. doi:10.1038/9635. PMID 10369249. 
  19. ↑ "Molecular characterization of peripherin-2 and rom-1 mutants responsible for digenic retinitis pigmentosa". The Journal of Biological Chemistry 276 (25): 22388–96. 2001. doi:10.1074/jbc.M011710200. PMID 11297544. 
  20. ↑ "Defective subunit assembly underlies a digenic form of retinitis pigmentosa linked to mutations in peripherin/rds and rom-1". Proceedings of the National Academy of Sciences of the United States of America 93 (24): 13726–30. 1996. doi:10.1073/pnas.93.24.13726. PMID 8943002. 
  21. ↑ "Heritability of lung disease severity in cystic fibrosis". American Journal of Respiratory and Critical Care Medicine 175 (10): 1036–43. 2007. doi:10.1164/rccm.200608-1164OC. PMID 17332481. 
  22. ↑ "Venezuelan kindreds reveal that genetic and environmental factors modulate Huntington's disease age of onset". Proceedings of the National Academy of Sciences of the United States of America 101 (10): 3498–503. 2004. doi:10.1073/pnas.0308679101. PMID 14993615. 
  23. ↑ "Triallelic inheritance in Bardet-Biedl syndrome, a Mendelian recessive disorder". Science 293 (5538): 2256–9. 2001. doi:10.1126/science.1063525. PMID 11567139. 
  24. ↑ "Genetic linkage analysis". Archives of Neurology 56 (6): 667–72. 1999. doi:10.1001/archneur.56.6.667. PMID 10369304. 
  25. ↑ 25.0 25.1 "Common variants in the BMP2, BMP4, and HJV genes of the hepcidin regulation pathway modulate HFE hemochromatosis penetrance". American Journal of Human Genetics 81 (4): 799–807. 2007. doi:10.1086/520001. PMID 17847004. 
  26. ↑ 26.0 26.1 "Identification of Genetic Factors that Modify Clinical Onset of Huntington's Disease". Cell 162 (3): 516–26. 2015. doi:10.1016/j.cell.2015.07.003. PMID 26232222. 
  27. ↑ 27.0 27.1 "Genome-wide association meta-analysis identifies five modifier loci of lung disease severity in cystic fibrosis". Nature Communications 6: 8382. 2015. doi:10.1038/ncomms9382. PMID 26417704. 
  28. ↑ 28.0 28.1 "Microtubule-associated protein 1A is a modifier of tubby hearing (moth1)". Nature Genetics 30 (4): 401–5. 2002. doi:10.1038/ng838. PMID 11925566. 
  29. ↑ 29.0 29.1 "The mystery of missing heritability: Genetic interactions create phantom heritability". Proceedings of the National Academy of Sciences of the United States of America 109 (4): 1193–8. 2012. doi:10.1073/pnas.1119675109. PMID 22223662. 
  30. ↑ "Finding the missing heritability of complex diseases". Nature 461 (7265): 747–53. 2009. doi:10.1038/nature08494. PMID 19812666. 



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