Draft:Chromosome mapping: Difference between revisions
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Chromosome mapping is a method determining the relative position of genes within a chromosome. <ref name=":0">{{Cite web |last=Tamang |first=Sanju |date=2023-08-28 |title=Chromosome Mapping: Definition, Types, Importance |url=https://microbenotes.com/chromosome-mapping/ |access-date=2024-04-10 |website=microbenotes.com |language=en-US}}</ref> This process creates a map that shows genetic information on chromosomes by showing the gene positions and distances between them, represented on a standardised scale. It is discovered by Thomas Hunt Morgan when investigating the Drosophila gene. The advancement of sequencing technology and statistics make chromosome mapping more commonplace. The development of chromosome mapping also pushed forward the onset of Human Genome Project. By mapping all the chromosomes, a comprehensive map of human genome is created. The outcome serves as a reference of human genome which greatly benefits the future research on genetics. |
Chromosome mapping is a method determining the relative position of [[Gene|genes]] within a [[chromosome]]. <ref name=":0">{{Cite web |last=Tamang |first=Sanju |date=2023-08-28 |title=Chromosome Mapping: Definition, Types, Importance |url=https://microbenotes.com/chromosome-mapping/ |access-date=2024-04-10 |website=microbenotes.com |language=en-US}}</ref> This process creates a map that shows genetic information on [[Chromosome|chromosomes]] by showing the [[gene]] positions and distances between them, represented on a standardised scale. It is discovered by [[Thomas Hunt Morgan]] when investigating the [[Drosophila]] [[gene]]. The advancement of [[DNA sequencing|sequencing]] technology and statistics make chromosome mapping more commonplace. The development of chromosome mapping also pushed forward the onset of [[Human Genome Project]]. By mapping all the chromosomes, a comprehensive map of human [[genome]] is created. The outcome serves as a reference of human genome which greatly benefits the future research on genetics. |
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| ⚫ | There are two methods in creating a chromosome map: genetic mapping and physical mapping. For [[Gene mapping|genetic mapping]], recombinations of DNA markers and [[Gene|genes]] in [[Chromosome|chromosomes]] are analysed and a probabilistic model helps predict the linear arrangement of genes. In physical mapping, the [[gene]] is cleaved by [[Restriction enzyme|restriction enzymes]]. The distance between cleavage sites and size of gene fragments are measured in order to generate the genetic map. |
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== History == |
== History == |
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The concept of chromosome mapping was suggested by biologist Thomas Hunt Morgan in 1911. When he was studying fruit flies, he found that some traits were different from Mendel’s Law of Independent Assortment and there was clear evidence on genetic linkage. He found that the white eye gene in Drosophila was located on the X chromosome. This helps identify other X-linked genes and the mapping. The outcome is a chromosome map that shows a linear arrangement of genes. <ref name=":0" /> However, genetic mapping to humans did not become commonplace until the 1950s, due to the obstacle of identifying which traits were associated with genetic mutations. In 1980, the discovery of Restriction Fragment Length Polymorphisms (RFLPs) made mapping easier and pushed forward the development of comprehensive chromosome maps. <ref>{{Cite journal |last=Beckmann |first=J. S. |last2=Soller |first2=M. |date=1983-11 |title=Restriction fragment length polymorphisms in genetic improvement: methodologies, mapping and costs |url=http://dx.doi.org/10.1007/bf00303919 |journal=Theoretical and Applied Genetics |volume=67 |issue=1 |pages=35–43 |doi=10.1007/bf00303919 |issn=0040-5752}}</ref> In the late 1980s, rough maps encompassing the whole chromosomes were constructed successfully. In mid-1990s, the refinement of statistical analysis methods enabled researchers to construct a whole-genome genetic map covering all chromosomes. <ref>{{Cite web |title=Mapping - History Of Genetic Mapping |url=https://medicine.jrank.org/pages/2486/Mapping-History-Genetic-Mapping.html |access-date=2024-03-27 |website=medicine.jrank.org |language=en}}</ref> |
The concept of chromosome mapping was suggested by biologist [[Thomas Hunt Morgan]] in 1911. When he was studying fruit flies, he found that some traits were different from [[Mendelian inheritance|Mendel’s Law of Independent Assortment]] and there was clear evidence on [[genetic linkage]]. He found that the white eye gene in [[Drosophila]] was located on the X chromosome. This helps identify other X-linked genes and the mapping. The outcome is a chromosome map that shows a linear arrangement of genes. <ref name=":0" /> However, genetic mapping to humans did not become commonplace until the 1950s, due to the obstacle of identifying which traits were associated with genetic mutations. In 1980, the discovery of [[Restriction fragment length polymorphism|Restriction Fragment Length Polymorphisms (RFLPs)]] made mapping easier and pushed forward the development of comprehensive chromosome maps. <ref>{{Cite journal |last=Beckmann |first=J. S. |last2=Soller |first2=M. |date=1983-11 |title=Restriction fragment length polymorphisms in genetic improvement: methodologies, mapping and costs |url=http://dx.doi.org/10.1007/bf00303919 |journal=Theoretical and Applied Genetics |volume=67 |issue=1 |pages=35–43 |doi=10.1007/bf00303919 |issn=0040-5752}}</ref> In the late 1980s, rough maps encompassing the whole chromosomes were constructed successfully. In mid-1990s, the refinement of statistical analysis methods enabled researchers to construct a whole-genome genetic map covering all chromosomes. <ref>{{Cite web |title=Mapping - History Of Genetic Mapping |url=https://medicine.jrank.org/pages/2486/Mapping-History-Genetic-Mapping.html |access-date=2024-03-27 |website=medicine.jrank.org |language=en}}</ref> |
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One of the major milestones in chromosome mapping is the Human Genome Project, an worldwide collaboration to determine the full sequence of the entire human genome, based on genetic information obtained from chromosomes. <ref>{{Cite web |title=Human Genome Project Timeline |url=https://www.genome.gov/human-genome-project/timeline |access-date=2024-04-10 |website=www.genome.gov |language=en}}</ref><ref name=":1">{{Cite web |title=Human Genome Project Fact Sheet |url=https://www.genome.gov/about-genomics/educational-resources/fact-sheets/human-genome-project |access-date=2024-04-10 |website=www.genome.gov |language=en}}</ref> The project was initiated in 1990 and achieved near completion in 2003, findings were subsequently published in 2004 for worldwide and public access. <ref name=":1" /><ref>{{Cite web |date=2024-02-21 |title=Human Genome Project (HGP) {{!}} History, Timeline, & Facts {{!}} Britannica |url=https://www.britannica.com/event/Human-Genome-Project |access-date=2024-04-10 |website=www.britannica.com |language=en}}</ref> While continuous refinement was ongoing to tackle the remaining gaps in human genome sequence. Ultimately, the complete and gapless sequence of the human genome was mapped in 2022 and published globally, indicating the whole human genome sequence was deciphered successfully. <ref>{{Cite web |date=2022-04-11 |title=First complete sequence of a human genome |url=https://www.nih.gov/news-events/nih-research-matters/first-complete-sequence-human-genome |access-date=2024-04-10 |website=National Institutes of Health (NIH) |language=EN}}</ref> The Human Genome Project provided valuable insights to human genetics and illustrated the continuous progression of genomic research, in addition to its versatile application in various aspects of medicine and public health. |
One of the major milestones in chromosome mapping is the Human Genome Project, an worldwide collaboration to determine the full sequence of the entire human genome, based on genetic information obtained from chromosomes. <ref>{{Cite web |title=Human Genome Project Timeline |url=https://www.genome.gov/human-genome-project/timeline |access-date=2024-04-10 |website=www.genome.gov |language=en}}</ref><ref name=":1">{{Cite web |title=Human Genome Project Fact Sheet |url=https://www.genome.gov/about-genomics/educational-resources/fact-sheets/human-genome-project |access-date=2024-04-10 |website=www.genome.gov |language=en}}</ref> The project was initiated in 1990 and achieved near completion in 2003, findings were subsequently published in 2004 for worldwide and public access. <ref name=":1" /><ref>{{Cite web |date=2024-02-21 |title=Human Genome Project (HGP) {{!}} History, Timeline, & Facts {{!}} Britannica |url=https://www.britannica.com/event/Human-Genome-Project |access-date=2024-04-10 |website=www.britannica.com |language=en}}</ref> While continuous refinement was ongoing to tackle the remaining gaps in human genome sequence. Ultimately, the complete and gapless sequence of the human genome was mapped in 2022 and published globally, indicating the whole human genome sequence was deciphered successfully. <ref>{{Cite web |date=2022-04-11 |title=First complete sequence of a human genome |url=https://www.nih.gov/news-events/nih-research-matters/first-complete-sequence-human-genome |access-date=2024-04-10 |website=National Institutes of Health (NIH) |language=EN}}</ref> The Human Genome Project provided valuable insights to human genetics and illustrated the continuous progression of genomic research, in addition to its versatile application in various aspects of medicine and public health. |
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=== '''Overview of Genetic Mapping''' === |
=== '''Overview of Genetic Mapping''' === |
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Chromosome Mapping provides the relative location of genes in chromosomes, which is crucial for investigating the arrangement and organisation of genetic information. Chromosome mapping is divided into two categories |
Chromosome Mapping provides the relative location of genes in [[Chromosome|chromosomes]], which is crucial for investigating the arrangement and organisation of genetic information. Chromosome mapping is divided into two categories - involves genetic mapping and physical mapping. |
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==='''Genetic mapping''' === |
==='''Genetic mapping''' === |
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Genetic Mapping investigates organisation of genes and DNA markers using linkage analysis, to predict gene positions and recombination frequencies between genes. <ref name=":0" /><ref name=":2">{{Citation |last=Brown |first=Terence A. |title=Mapping Genomes |date=2002 |work=Genomes. 2nd edition |url=https://www.ncbi.nlm.nih.gov/books/NBK21116/ |access-date=2024-04-10 |publisher=Wiley-Liss |language=en}}</ref>The measurement is based on the unit centiMorgan (cM), where one centiMorgan is roughly one million base pairs in the human genome. Additionally, each centiMorgan indicates a 1% probability of two genes being separated by recombination during meiosis. |
[[Gene mapping|Genetic Mapping]] investigates organisation of genes and DNA markers using linkage analysis, to predict gene positions and recombination frequencies between genes. <ref name=":0" /><ref name=":2">{{Citation |last=Brown |first=Terence A. |title=Mapping Genomes |date=2002 |work=Genomes. 2nd edition |url=https://www.ncbi.nlm.nih.gov/books/NBK21116/ |access-date=2024-04-10 |publisher=Wiley-Liss |language=en}}</ref>The measurement is based on the unit [[Centimorgan|centiMorgan (cM)]], where one centiMorgan is roughly one million base pairs in the human genome. Additionally, each centiMorgan indicates a 1% probability of two genetic markers/genes being separated by [[Genetic recombination|recombination]] during [[meiosis]].<ref name=":3">{{Citation |last=Genome |first=National Research Council (US) Committee on Mapping and Sequencing the Human |title=Mapping |date=1988 |work=Mapping and Sequencing the Human Genome |url=https://www.ncbi.nlm.nih.gov/books/NBK218246/ |access-date=2024-04-10 |publisher=National Academies Press (US) |language=en}}</ref>Therefore the increase of distance between those genes also increases the chance of recombination occurring, indicating higher recombination frequency. |
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In particular, genetic linkage between two genes is determined based on their respective distance and locations on the chromosomes |
In particular, genetic linkage between two genes is determined based on their respective distance and locations on the [[Chromosome|chromosomes]] – in linked genes, the closer distance leads to a higher probability being inherited together; while for unlinked genes, the distance is further apart where independent inheritance is more likely, indicating the genes are located on different [[Chromosome|chromosomes]]. <ref name=":3" />In addition, the inheritance patterns for genes located on same [[chromosome]] depend on recombination frequency, which influences their [[genetic linkage]] profile – linked or unlinked. <ref name=":3" />Through studying recombination of DNA markers and genes in [[Chromosome|chromosomes]], it provides further insights on inheritance patterns, possibility of recombinations during meiosis. |
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==== '''Types of DNA Molecular markers''' ==== |
==== '''Types of DNA Molecular markers''' ==== |
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DNA molecular markers are DNA sequences that include at least two alleles and could be differentiated easily, which is adapted to locate specific positions in the genome during mapping.<ref name=":2" /> By analysing the inheritance patterns of DNA molecular markers, genetic maps visualising gene positions and markers on the genome can be assembled. |
DNA molecular markers are DNA sequences that include at least two alleles and could be differentiated easily, which is adapted to locate specific positions in the genome during mapping.<ref name=":2" /> By analysing the inheritance patterns of DNA [[Molecular marker|molecular markers]], genetic maps visualising gene positions and markers on the genome can be assembled. |
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==== Restriction Fragment Length Polymorphisms (RFLP) ==== |
==== Restriction Fragment Length Polymorphisms (RFLP) ==== |
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Restriction Fragment Length Polymorphisms (RFLP) involves DNA restriction fragments with polymorphic restriction sites, which is processed by restriction enzymes by cutting DNA at specific recognition sites, hence it generates restriction fragments with variable lengths. Through investigating the inheritance pattern of RFLP, its position on the genome map can be determined.<ref name=":0" /><ref name=":2" /> |
[[Restriction fragment length polymorphism|Restriction Fragment Length Polymorphisms (RFLP)]] involves DNA restriction fragments with polymorphic [[Restriction site|restriction sites]], which is processed by [[Restriction enzyme|restriction enzymes]] by cutting DNA at specific recognition sites, hence it generates restriction fragments with variable lengths. Through investigating the inheritance pattern of RFLP, its position on the genome map can be determined. <ref name=":0" /><ref name=":2" /> |
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==== Single Sequence Length Polymorphisms (SSLP) ==== |
==== Single Sequence Length Polymorphisms (SSLP) ==== |
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Single Sequence Length Polymorphisms (SSLP) indicate repeat sequences with variable length and number of tandem repeats, hence each SSLP can generate diverse variants. <ref name=":0" /><ref name=":2" />It is further classified into microsatellites and minisatellites: |
[[Simple sequence length polymorphism|Single Sequence Length Polymorphisms (SSLP)]] indicate repeat sequences with variable length and number of [[Tandem repeat|tandem repeats]], hence each SSLP can generate diverse variants. <ref name=":0" /><ref name=":2" />It is further classified into [[Microsatellite|microsatellites]] and [[Minisatellite|minisatellites]]: |
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Minisatellites – Variable Number of Tandem Repeats (VNTRs) with longer repeat units, up to a maximum length of 25 base pairs. |
Minisatellites – Variable Number of Tandem Repeats (VNTRs) with longer repeat units, up to a maximum length of 25 base pairs. |
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==== Simple Nucleotide Polymorphisms (SNP) ==== |
==== Simple Nucleotide Polymorphisms (SNP) ==== |
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Simple Nucleotide Polymorphisms (SNP) indicates variations at specific positions in the genome, which have different nucleotides. |
[[Single-nucleotide polymorphism|Simple Nucleotide Polymorphisms (SNP)]] indicates variations at specific positions in the genome, which have different nucleotides.<ref name=":2" /> |
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=== Physical Mapping === |
=== Physical Mapping === |
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Physical Mapping involves visualising the distance of restriction enzyme cleavage sites on chromosomal DNA, the measurement is based on the number of nucleotides for determining the size of DNA fragments. <ref name=":2" /><ref name=":3" />Additionally, to determine gene positions and provide direct information of chromosomes, which aids the generation of physical maps. |
[[Physical mapping|Physical Mapping]] involves visualising the distance of restriction enzyme cleavage sites on chromosomal DNA, the measurement is based on the number of nucleotides for determining the size of DNA fragments. <ref name=":2" /><ref name=":3" />Additionally, to determine gene positions and provide direct information of [[Chromosome|chromosomes]], which aids the generation of physical maps. |
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==== Fluorescence In Situ Hybridisation (FISH) ==== |
==== Fluorescence In Situ Hybridisation (FISH) ==== |
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Fluorescence In Situ Hybridisation (FISH) includes investigation of intact chromosomes through hybridisation by DNA sequences being labelled with fluorescence probes. This method allows visualisation of specific positions of DNA sequences on chromosomes based on examining fluorescence signals and location of hybridisation by labelled DNA. |
[[Fluorescence in situ hybridization|Fluorescence In Situ Hybridisation (FISH)]] includes investigation of intact [[Chromosome|chromosomes]] through hybridisation by DNA sequences being labelled with fluorescence probes.<ref name=":0" /><ref name=":2" />This method allows visualisation of specific positions of DNA sequences on [[Chromosome|chromosomes]] based on examining fluorescence signals and location of [[Nucleic acid hybridization|hybridisation]] by labelled DNA. |
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==== Sequence Tagged Site Mapping (STS) ==== |
==== Sequence Tagged Site Mapping (STS) ==== |
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Sequence Tagged Site Mapping (STS) uses Sequence Tagged Sites, which are DNA sequences that occur distinctly in the genome, with a length between 100 to 500 base pairs. |
[[Sequence-tagged site|Sequence Tagged Site Mapping (STS)]] uses Sequence Tagged Sites, which are DNA sequences that occur distinctly in the genome, with a length between 100 to 500 base pairs.<ref name=":0" /><ref name=":2" />Additionally, it must have a known DNA sequence and its position in [[chromosome]] or genome must be unique, ensures there won't be any duplicated DNA present.<ref name=":2" /> This method enables the generation of genome maps with great detail. |
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==== Restriction Mapping ==== |
==== Restriction Mapping ==== |
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Restriction mapping aims to locate restriction site position in DNA molecules, by comparing sizes of DNA fragments generated using different restriction enzymes which recognise different target sequences. <ref name=":2" />This method is important for locating non-polymorphic restriction sites and increasing the density of DNA markers on genome maps. <ref name=":2" /> |
[[Restriction map|Restriction mapping]] aims to locate restriction site position in DNA molecules, by comparing sizes of DNA fragments generated using different restriction enzymes which recognise different target sequences. <ref name=":2" />This method is important for locating non-polymorphic restriction sites and increasing the density of DNA markers on genome maps. <ref name=":2" /> |
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== Application == |
== Application == |
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=== '''Disease diagnosis''' === |
=== '''Disease diagnosis''' === |
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Chromosome mapping can help identify the location of specific genes on chromosomes. It involves studying the inheritance patterns of genetic markers or variations within families or populations to determine the association between these markers and the presence of a particular disease or trait, allowing researchers to make predictions about the genes they think are causing the mutant phenotype. <ref>{{Cite journal |last=Harper |first=Marc A. |last2=Chen |first2=Zugen |last3=Toy |first3=Traci |last4=Machado |first4=Iara M. P. |last5=Nelson |first5=Stanley F. |last6=Liao |first6=James C. |last7=Lee |first7=Christopher J. |date=2011-02-18 |title=Phenotype Sequencing: Identifying the Genes That Cause a Phenotype Directly from Pooled Sequencing of Independent Mutants |url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041756/ |journal=PLoS ONE |volume=6 |issue=2 |pages=e16517 |doi=10.1371/journal.pone.0016517 |issn=1932-6203 |pmc=3041756 |pmid=21364744}}</ref>An example of a disease where chromosome mapping has been instrumental is Cystic Fibrosis (CF). CF is a genetic disorder caused by mutations in the CFTR gene located on chromosome 7. <ref>{{Citation |last=Information (US) |first=National Center for Biotechnology |title=Chromosome Map |date=1998 |work=Genes and Disease [Internet] |url=https://www.ncbi.nlm.nih.gov/books/NBK22266/ |access-date=2024-04-10 |publisher=National Center for Biotechnology Information (US) |language=en}}</ref> |
Chromosome mapping can help identify the location of specific genes on chromosomes. It involves studying the inheritance patterns of genetic markers or variations within families or populations to determine the association between these markers and the presence of a particular disease or trait, allowing researchers to make predictions about the genes they think are causing the mutant [[phenotype]]. <ref>{{Cite journal |last=Harper |first=Marc A. |last2=Chen |first2=Zugen |last3=Toy |first3=Traci |last4=Machado |first4=Iara M. P. |last5=Nelson |first5=Stanley F. |last6=Liao |first6=James C. |last7=Lee |first7=Christopher J. |date=2011-02-18 |title=Phenotype Sequencing: Identifying the Genes That Cause a Phenotype Directly from Pooled Sequencing of Independent Mutants |url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041756/ |journal=PLoS ONE |volume=6 |issue=2 |pages=e16517 |doi=10.1371/journal.pone.0016517 |issn=1932-6203 |pmc=3041756 |pmid=21364744}}</ref>An example of a disease where chromosome mapping has been instrumental is [[Cystic fibrosis|Cystic Fibrosis (CF)]]. CF is a genetic disorder caused by mutations in the [[Cystic fibrosis transmembrane conductance regulator|CFTR gene]] located on [[chromosome 7]]. By mapping the CFTR gene to this specific region on [[chromosome 7]] <ref>{{Citation |last=Information (US) |first=National Center for Biotechnology |title=Chromosome Map |date=1998 |work=Genes and Disease [Internet] |url=https://www.ncbi.nlm.nih.gov/books/NBK22266/ |access-date=2024-04-10 |publisher=National Center for Biotechnology Information (US) |language=en}}</ref>,researchers have been able to understand the genetic mechanisms of CF, and develop diagnostic tests by identifying related biomarkers. <ref>{{Cite journal |last=Smith |first=D. R. |last2=Fulton |first2=T. R. |last3=Swain |first3=P. |last4=Bowcock |first4=A. |last5=Daneshvar |first5=L. |last6=Traver |first6=C. |last7=Gruenert |first7=D. C. |last8=Davis |first8=R. |last9=Cavalli-Sforza |first9=L. L. |last10=Donis-Keller |first10=H. |date=1989-07 |title=Cystic fibrosis: diagnostic testing and the search for the gene |url=https://pubmed.ncbi.nlm.nih.gov/2568193/ |journal=Clinical Chemistry |volume=35 |issue=7 Suppl |pages=B17–20 |issn=0009-9147 |pmid=2568193}}</ref> |
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=== '''Pharmacogenomics''' === |
=== '''Pharmacogenomics''' === |
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Chromosome mapping helps in identifying genes that are involved in drug metabolism, drug targets, or drug transporters.<ref>{{Cite journal |last=Hoehe |first=Margret R. |last2=Kroslak |first2=Thomas |date=2004-03 |title=Genetic variation and pharmacogenomics: concepts, facts, and challenges |url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3181790/ |journal=Dialogues in Clinical Neuroscience |volume=6 |issue=1 |pages=5–26 |doi=10.31887/DCNS.2004.6.1/mhoehe |issn=1294-8322 |pmc=3181790 |pmid=22033504}}</ref> By studying the inheritance patterns of genetic markers associated with drug response in different populations, researchers can identify regions on chromosomes that are likely to contain genes influencing drug response. This helps evaluating the effects and effectiveness of drugs. |
Chromosome mapping helps in identifying genes that are involved in [[drug metabolism]], [[Biological target|drug targets]], or drug transporters.<ref>{{Cite journal |last=Hoehe |first=Margret R. |last2=Kroslak |first2=Thomas |date=2004-03 |title=Genetic variation and pharmacogenomics: concepts, facts, and challenges |url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3181790/ |journal=Dialogues in Clinical Neuroscience |volume=6 |issue=1 |pages=5–26 |doi=10.31887/DCNS.2004.6.1/mhoehe |issn=1294-8322 |pmc=3181790 |pmid=22033504}}</ref> By studying the inheritance patterns of genetic markers associated with drug response in different populations, researchers can identify regions on chromosomes that are likely to contain genes influencing drug response. This helps evaluating the effects and effectiveness of drugs. Moreover, mapping helps develop genetic tests that can predict an individual's response to specific [[Medication|medications]]. By analyzing genetic markers associated with drug response, researchers can identify how genetic differences contribute to the drug effectiveness.<ref name=":4" /> Therefore, researchers can develop tests that assess the response of a particular drug of on patients based on their [[DNA profiling|genetic profiles]] and whether they experience [[Adverse drug reaction|adverse reactions]]. This fosters the development of [[personalized medicine]]. |
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For example, Warfarin, a commonly prescribed anticoagulant, has been extensively studied in relation to genetic factors and chromosome mapping. Research has identified genetic variants associated with warfarin-related bleeding, such as single nucleotide polymorphisms (SNPs) on chromosome 6. <ref>{{Cite journal |last=De |first=Tanima |last2=Alarcon |first2=Cristina |last3=Hernandez |first3=Wenndy |last4=Liko |first4=Ina |last5=Cavallari |first5=Larisa H. |last6=Duarte |first6=Julio D. |last7=Perera |first7=Minoli A. |date=2018-10-23 |title=Association of Genetic Variants With Warfarin-Associated Bleeding Among Patients of African Descent |url=http://dx.doi.org/10.1001/jama.2018.14955 |journal=JAMA |volume=320 |issue=16 |pages=1670 |doi=10.1001/jama.2018.14955 |issn=0098-7484}}</ref> Additionally, genes like VKORC1 on chromosome 16 have been strongly associated with warfarin dose variability, highlighting the role of genetic variations in determining individual responses to warfarin treatment.<ref>{{Cite journal |last=Wadelius |first=Mia |last2=Chen |first2=Leslie Y. |last3=Eriksson |first3=Niclas |last4=Bumpstead |first4=Suzannah |last5=Ghori |first5=Jilur |last6=Wadelius |first6=Claes |last7=Bentley |first7=David |last8=McGinnis |first8=Ralph |last9=Deloukas |first9=Panos |date=2007-03 |title=Association of warfarin dose with genes involved in its action and metabolism |url=https://link.springer.com/10.1007/s00439-006-0260-8 |journal=Human Genetics |language=en |volume=121 |issue=1 |pages=23–34 |doi=10.1007/s00439-006-0260-8 |issn=0340-6717 |pmc=PMC1797064 |pmid=17048007}}</ref> |
For example, [[Warfarin]], a commonly prescribed [[anticoagulant]], has been extensively studied in relation to genetic factors and chromosome mapping. Research has identified genetic variants associated with warfarin-related bleeding, such as [[Single-nucleotide polymorphism|single nucleotide polymorphisms (SNPs)]] on [[chromosome 6]]. <ref name=":4">{{Cite journal |last=De |first=Tanima |last2=Alarcon |first2=Cristina |last3=Hernandez |first3=Wenndy |last4=Liko |first4=Ina |last5=Cavallari |first5=Larisa H. |last6=Duarte |first6=Julio D. |last7=Perera |first7=Minoli A. |date=2018-10-23 |title=Association of Genetic Variants With Warfarin-Associated Bleeding Among Patients of African Descent |url=http://dx.doi.org/10.1001/jama.2018.14955 |journal=JAMA |volume=320 |issue=16 |pages=1670 |doi=10.1001/jama.2018.14955 |issn=0098-7484}}</ref> Additionally, genes like [[VKORC1]] on [[chromosome 16]] have been strongly associated with warfarin dose variability, highlighting the role of genetic variations in determining individual responses to warfarin treatment.<ref>{{Cite journal |last=Wadelius |first=Mia |last2=Chen |first2=Leslie Y. |last3=Eriksson |first3=Niclas |last4=Bumpstead |first4=Suzannah |last5=Ghori |first5=Jilur |last6=Wadelius |first6=Claes |last7=Bentley |first7=David |last8=McGinnis |first8=Ralph |last9=Deloukas |first9=Panos |date=2007-03 |title=Association of warfarin dose with genes involved in its action and metabolism |url=https://link.springer.com/10.1007/s00439-006-0260-8 |journal=Human Genetics |language=en |volume=121 |issue=1 |pages=23–34 |doi=10.1007/s00439-006-0260-8 |issn=0340-6717 |pmc=PMC1797064 |pmid=17048007}}</ref> |
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== Limitation == |
== Limitation == |
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=== Incomplete information === |
=== Incomplete information === |
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Firstly, for an individual homozygous at a gene, it is unknown whether it is inherited from maternity or paternity as the gene has the same locus on |
Firstly, for an individual [[Zygosity|homozygous]] at a gene, it is unknown whether it is inherited from maternity or paternity as the gene has the same locus on two [[Homologous chromosome|homologous chromosomes]]. While for an individual [[Zygosity|heterozygous]] at a gene, the origin of [[allele]] is unknown without studying the individual’s parents’ genes as it could be from either maternal or paternal gene'''.''' <ref>{{Cite book |url=http://www.nap.edu/catalog/2121 |title=Calculating the Secrets of Life: Contributions of the Mathematical Sciences to Molecular Biology |date=1995-04-06 |publisher=National Academies Press |isbn=978-0-309-04886-6 |location=Washington, D.C. |doi=10.17226/2121}}</ref> |
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=== Incomplete penetrance === |
=== Incomplete penetrance === |
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In genetics, penetrance refers to the statistical occurrence of phenotypes given that one contains related genotypes. |
In genetics, [[penetrance]] refers to the statistical occurrence of [[Phenotype|phenotypes]] given that one contains related [[Genotype|genotypes]].<ref>{{Cite web |title=Phenotype Variability: Penetrance and Expressivity {{!}} Learn Science at Scitable |url=http://www.nature.com/scitable/topicpage/phenotype-variability-penetrance-and-expressivity-573 |access-date=2024-04-10 |website=www.nature.com |language=en}}</ref>For some genotypes, there may be reduced penetrance influenced by factors like age, environmental exposure or random chance. These factors may engender a delay of symptoms or even the gene will not be expressed in one’s life. <ref>{{Cite journal |last=Shieh |first=Joseph T. C. |date=2019-01 |title=Expanding Genomic Sequencing and Incomplete Penetrance |url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7185999/ |journal=Pediatrics |volume=143 |issue=Suppl 1 |pages=S22–S26 |doi=10.1542/peds.2018-1099E |issn=0031-4005 |pmc=7185999 |pmid=30600267}}</ref>This makes the study on association between genes and complex traits more difficult and harder to conclude. Thus, statistical models and large sample sizes are required to overcome this challenge. <ref>{{Cite journal |last=Kingdom |first=Rebecca |last2=Wright |first2=Caroline F. |date=2022-07-25 |title=Incomplete Penetrance and Variable Expressivity: From Clinical Studies to Population Cohorts |url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380816/ |journal=Frontiers in Genetics |volume=13 |pages=920390 |doi=10.3389/fgene.2022.920390 |issn=1664-8021 |pmc=9380816 |pmid=35983412}}</ref> |
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=== '''Reference List''' === |
=== '''Reference List''' === |
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Revision as of 15:33, 10 April 2024
Chromosome mapping is a method determining the relative position of genes within a chromosome. [1] This process creates a map that shows genetic information on chromosomes by showing the gene positions and distances between them, represented on a standardised scale. It is discovered by Thomas Hunt Morgan when investigating the Drosophila gene. The advancement of sequencing technology and statistics make chromosome mapping more commonplace. The development of chromosome mapping also pushed forward the onset of Human Genome Project. By mapping all the chromosomes, a comprehensive map of human genome is created. The outcome serves as a reference of human genome which greatly benefits the future research on genetics.
There are two methods in creating a chromosome map: genetic mapping and physical mapping. For genetic mapping, recombinations of DNA markers and genes in chromosomes are analysed and a probabilistic model helps predict the linear arrangement of genes. In physical mapping, the gene is cleaved by restriction enzymes. The distance between cleavage sites and size of gene fragments are measured in order to generate the genetic map.
History
The concept of chromosome mapping was suggested by biologist Thomas Hunt Morgan in 1911. When he was studying fruit flies, he found that some traits were different from Mendel’s Law of Independent Assortment and there was clear evidence on genetic linkage. He found that the white eye gene in Drosophila was located on the X chromosome. This helps identify other X-linked genes and the mapping. The outcome is a chromosome map that shows a linear arrangement of genes. [1] However, genetic mapping to humans did not become commonplace until the 1950s, due to the obstacle of identifying which traits were associated with genetic mutations. In 1980, the discovery of Restriction Fragment Length Polymorphisms (RFLPs) made mapping easier and pushed forward the development of comprehensive chromosome maps. [2] In the late 1980s, rough maps encompassing the whole chromosomes were constructed successfully. In mid-1990s, the refinement of statistical analysis methods enabled researchers to construct a whole-genome genetic map covering all chromosomes. [3]
One of the major milestones in chromosome mapping is the Human Genome Project, an worldwide collaboration to determine the full sequence of the entire human genome, based on genetic information obtained from chromosomes. [4][5] The project was initiated in 1990 and achieved near completion in 2003, findings were subsequently published in 2004 for worldwide and public access. [5][6] While continuous refinement was ongoing to tackle the remaining gaps in human genome sequence. Ultimately, the complete and gapless sequence of the human genome was mapped in 2022 and published globally, indicating the whole human genome sequence was deciphered successfully. [7] The Human Genome Project provided valuable insights to human genetics and illustrated the continuous progression of genomic research, in addition to its versatile application in various aspects of medicine and public health.
Method
Overview of Genetic Mapping
Chromosome Mapping provides the relative location of genes in chromosomes, which is crucial for investigating the arrangement and organisation of genetic information. Chromosome mapping is divided into two categories - involves genetic mapping and physical mapping.
Genetic mapping
Genetic Mapping investigates organisation of genes and DNA markers using linkage analysis, to predict gene positions and recombination frequencies between genes. [1][8]The measurement is based on the unit centiMorgan (cM), where one centiMorgan is roughly one million base pairs in the human genome. Additionally, each centiMorgan indicates a 1% probability of two genetic markers/genes being separated by recombination during meiosis.[9]Therefore the increase of distance between those genes also increases the chance of recombination occurring, indicating higher recombination frequency.
In particular, genetic linkage between two genes is determined based on their respective distance and locations on the chromosomes – in linked genes, the closer distance leads to a higher probability being inherited together; while for unlinked genes, the distance is further apart where independent inheritance is more likely, indicating the genes are located on different chromosomes. [9]In addition, the inheritance patterns for genes located on same chromosome depend on recombination frequency, which influences their genetic linkage profile – linked or unlinked. [9]Through studying recombination of DNA markers and genes in chromosomes, it provides further insights on inheritance patterns, possibility of recombinations during meiosis.
Types of DNA Molecular markers
DNA molecular markers are DNA sequences that include at least two alleles and could be differentiated easily, which is adapted to locate specific positions in the genome during mapping.[8] By analysing the inheritance patterns of DNA molecular markers, genetic maps visualising gene positions and markers on the genome can be assembled.
Restriction Fragment Length Polymorphisms (RFLP)
Restriction Fragment Length Polymorphisms (RFLP) involves DNA restriction fragments with polymorphic restriction sites, which is processed by restriction enzymes by cutting DNA at specific recognition sites, hence it generates restriction fragments with variable lengths. Through investigating the inheritance pattern of RFLP, its position on the genome map can be determined. [1][8]
Single Sequence Length Polymorphisms (SSLP)
Single Sequence Length Polymorphisms (SSLP) indicate repeat sequences with variable length and number of tandem repeats, hence each SSLP can generate diverse variants. [1][8]It is further classified into microsatellites and minisatellites:
Minisatellites – Variable Number of Tandem Repeats (VNTRs) with longer repeat units, up to a maximum length of 25 base pairs.
Microsatellites – Simple Tandem Repeats (STRs) with shorter repeat units, typically in dinucleotide or tetranucleotide units.
Simple Nucleotide Polymorphisms (SNP)
Simple Nucleotide Polymorphisms (SNP) indicates variations at specific positions in the genome, which have different nucleotides.[8]
Physical Mapping
Physical Mapping involves visualising the distance of restriction enzyme cleavage sites on chromosomal DNA, the measurement is based on the number of nucleotides for determining the size of DNA fragments. [8][9]Additionally, to determine gene positions and provide direct information of chromosomes, which aids the generation of physical maps.
Fluorescence In Situ Hybridisation (FISH)
Fluorescence In Situ Hybridisation (FISH) includes investigation of intact chromosomes through hybridisation by DNA sequences being labelled with fluorescence probes.[1][8]This method allows visualisation of specific positions of DNA sequences on chromosomes based on examining fluorescence signals and location of hybridisation by labelled DNA.
Sequence Tagged Site Mapping (STS)
Sequence Tagged Site Mapping (STS) uses Sequence Tagged Sites, which are DNA sequences that occur distinctly in the genome, with a length between 100 to 500 base pairs.[1][8]Additionally, it must have a known DNA sequence and its position in chromosome or genome must be unique, ensures there won't be any duplicated DNA present.[8] This method enables the generation of genome maps with great detail.
Restriction Mapping
Restriction mapping aims to locate restriction site position in DNA molecules, by comparing sizes of DNA fragments generated using different restriction enzymes which recognise different target sequences. [8]This method is important for locating non-polymorphic restriction sites and increasing the density of DNA markers on genome maps. [8]
Application
Disease diagnosis
Chromosome mapping can help identify the location of specific genes on chromosomes. It involves studying the inheritance patterns of genetic markers or variations within families or populations to determine the association between these markers and the presence of a particular disease or trait, allowing researchers to make predictions about the genes they think are causing the mutant phenotype. [10]An example of a disease where chromosome mapping has been instrumental is Cystic Fibrosis (CF). CF is a genetic disorder caused by mutations in the CFTR gene located on chromosome 7. By mapping the CFTR gene to this specific region on chromosome 7 [11],researchers have been able to understand the genetic mechanisms of CF, and develop diagnostic tests by identifying related biomarkers. [12]
Pharmacogenomics
Chromosome mapping helps in identifying genes that are involved in drug metabolism, drug targets, or drug transporters.[13] By studying the inheritance patterns of genetic markers associated with drug response in different populations, researchers can identify regions on chromosomes that are likely to contain genes influencing drug response. This helps evaluating the effects and effectiveness of drugs. Moreover, mapping helps develop genetic tests that can predict an individual's response to specific medications. By analyzing genetic markers associated with drug response, researchers can identify how genetic differences contribute to the drug effectiveness.[14] Therefore, researchers can develop tests that assess the response of a particular drug of on patients based on their genetic profiles and whether they experience adverse reactions. This fosters the development of personalized medicine.
For example, Warfarin, a commonly prescribed anticoagulant, has been extensively studied in relation to genetic factors and chromosome mapping. Research has identified genetic variants associated with warfarin-related bleeding, such as single nucleotide polymorphisms (SNPs) on chromosome 6. [14] Additionally, genes like VKORC1 on chromosome 16 have been strongly associated with warfarin dose variability, highlighting the role of genetic variations in determining individual responses to warfarin treatment.[15]
Limitation
Incomplete information
Firstly, for an individual homozygous at a gene, it is unknown whether it is inherited from maternity or paternity as the gene has the same locus on two homologous chromosomes. While for an individual heterozygous at a gene, the origin of allele is unknown without studying the individual’s parents’ genes as it could be from either maternal or paternal gene. [16]
Incomplete penetrance
In genetics, penetrance refers to the statistical occurrence of phenotypes given that one contains related genotypes.[17]For some genotypes, there may be reduced penetrance influenced by factors like age, environmental exposure or random chance. These factors may engender a delay of symptoms or even the gene will not be expressed in one’s life. [18]This makes the study on association between genes and complex traits more difficult and harder to conclude. Thus, statistical models and large sample sizes are required to overcome this challenge. [19]
Reference List
- ^ a b c d e f g Tamang, Sanju (2023-08-28). "Chromosome Mapping: Definition, Types, Importance". microbenotes.com. Retrieved 2024-04-10.
- ^ Beckmann, J. S.; Soller, M. (1983-11). "Restriction fragment length polymorphisms in genetic improvement: methodologies, mapping and costs". Theoretical and Applied Genetics. 67 (1): 35–43. doi:10.1007/bf00303919. ISSN 0040-5752.
{{cite journal}}: Check date values in:|date=(help) - ^ "Mapping - History Of Genetic Mapping". medicine.jrank.org. Retrieved 2024-03-27.
- ^ "Human Genome Project Timeline". www.genome.gov. Retrieved 2024-04-10.
- ^ a b "Human Genome Project Fact Sheet". www.genome.gov. Retrieved 2024-04-10.
- ^ "Human Genome Project (HGP) | History, Timeline, & Facts | Britannica". www.britannica.com. 2024-02-21. Retrieved 2024-04-10.
- ^ "First complete sequence of a human genome". National Institutes of Health (NIH). 2022-04-11. Retrieved 2024-04-10.
- ^ a b c d e f g h i j k Brown, Terence A. (2002), "Mapping Genomes", Genomes. 2nd edition, Wiley-Liss, retrieved 2024-04-10
- ^ a b c d Genome, National Research Council (US) Committee on Mapping and Sequencing the Human (1988), "Mapping", Mapping and Sequencing the Human Genome, National Academies Press (US), retrieved 2024-04-10
- ^ Harper, Marc A.; Chen, Zugen; Toy, Traci; Machado, Iara M. P.; Nelson, Stanley F.; Liao, James C.; Lee, Christopher J. (2011-02-18). "Phenotype Sequencing: Identifying the Genes That Cause a Phenotype Directly from Pooled Sequencing of Independent Mutants". PLoS ONE. 6 (2): e16517. doi:10.1371/journal.pone.0016517. ISSN 1932-6203. PMC 3041756. PMID 21364744.
{{cite journal}}: CS1 maint: unflagged free DOI (link) - ^ Information (US), National Center for Biotechnology (1998), "Chromosome Map", Genes and Disease [Internet], National Center for Biotechnology Information (US), retrieved 2024-04-10
- ^ Smith, D. R.; Fulton, T. R.; Swain, P.; Bowcock, A.; Daneshvar, L.; Traver, C.; Gruenert, D. C.; Davis, R.; Cavalli-Sforza, L. L.; Donis-Keller, H. (1989-07). "Cystic fibrosis: diagnostic testing and the search for the gene". Clinical Chemistry. 35 (7 Suppl): B17–20. ISSN 0009-9147. PMID 2568193.
{{cite journal}}: Check date values in:|date=(help) - ^ Hoehe, Margret R.; Kroslak, Thomas (2004-03). "Genetic variation and pharmacogenomics: concepts, facts, and challenges". Dialogues in Clinical Neuroscience. 6 (1): 5–26. doi:10.31887/DCNS.2004.6.1/mhoehe. ISSN 1294-8322. PMC 3181790. PMID 22033504.
{{cite journal}}: Check date values in:|date=(help) - ^ a b De, Tanima; Alarcon, Cristina; Hernandez, Wenndy; Liko, Ina; Cavallari, Larisa H.; Duarte, Julio D.; Perera, Minoli A. (2018-10-23). "Association of Genetic Variants With Warfarin-Associated Bleeding Among Patients of African Descent". JAMA. 320 (16): 1670. doi:10.1001/jama.2018.14955. ISSN 0098-7484.
- ^ Wadelius, Mia; Chen, Leslie Y.; Eriksson, Niclas; Bumpstead, Suzannah; Ghori, Jilur; Wadelius, Claes; Bentley, David; McGinnis, Ralph; Deloukas, Panos (2007-03). "Association of warfarin dose with genes involved in its action and metabolism". Human Genetics. 121 (1): 23–34. doi:10.1007/s00439-006-0260-8. ISSN 0340-6717. PMC 1797064. PMID 17048007.
{{cite journal}}: Check date values in:|date=(help)CS1 maint: PMC format (link) - ^ Calculating the Secrets of Life: Contributions of the Mathematical Sciences to Molecular Biology. Washington, D.C.: National Academies Press. 1995-04-06. doi:10.17226/2121. ISBN 978-0-309-04886-6.
- ^ "Phenotype Variability: Penetrance and Expressivity | Learn Science at Scitable". www.nature.com. Retrieved 2024-04-10.
- ^ Shieh, Joseph T. C. (2019-01). "Expanding Genomic Sequencing and Incomplete Penetrance". Pediatrics. 143 (Suppl 1): S22–S26. doi:10.1542/peds.2018-1099E. ISSN 0031-4005. PMC 7185999. PMID 30600267.
{{cite journal}}: Check date values in:|date=(help) - ^ Kingdom, Rebecca; Wright, Caroline F. (2022-07-25). "Incomplete Penetrance and Variable Expressivity: From Clinical Studies to Population Cohorts". Frontiers in Genetics. 13: 920390. doi:10.3389/fgene.2022.920390. ISSN 1664-8021. PMC 9380816. PMID 35983412.
{{cite journal}}: CS1 maint: unflagged free DOI (link)