general information regarding single nucleotide polymorphism.
A Single Nucleotide Polymorphisms (SNP), pronounced “snip,” is a genetic variation when a single nucleotide (i.e., A, T, C, or G) is altered and kept through heredity.
SNP (Single Nucleotide Polymorphic), SNP mapping, SNP profile, SNP types, SNP analysis by gel electropherosis and by mass spectrometry, SNP effects, single strand conformation polymorphism, SNP advantages and disadvantages and application of SNP profile in drug choice
complete Single Nucleotide Polymorphiitsm Detection methods with Advance techniques with its applications
Single nucleotide polymorphisms are single base variations between genomes within a species.
There are at least 10 million polymorphic sites in the human genome.
SNPs can distinguish individuals from one another
Denaturing Gradient Gel Electrophoresis
Chemical Cleavage Of Mismatch
Single-stranded Conformation Polymorphism (SSCP)
MutS Protein-binding Assays
Mismatch Repair Detection (MRD)
Heteroduplex Analysis (HA)
Denaturing High Performance Liquid Chromatography (DHPLC)
UNG-Mediated T-Sequencing
RNA-Mediated Finger printing with MALDI MS Detection
Sequencing by Hybridization
Direct DNA Sequencing
Single-feature polymorphism (SFP)
Invader probe
Allele-specific oligonucleotide probes
PCR-based methods
Allele specific primers
Sequence Polymorphism-Derived (SPD) markers
Targeting induced local lesions in genomes (TILLinG)
Minisequencing primers
Allele-specific ligation probes
DNA sequence variations are sometimes described as mutations and sometimes as polymorphisms. A gene is said to be polymorphic if more than one allele occupies that gene's locus within a population.
Polymorphic sequence variants usually do not cause overt debilitating diseases. Many are found outside of genes and are completely neutral in effect. Others may be found within genes, but may influence characteristics such as height and hair colour rather than characteristics of medical importance.
However, polymorphic sequence variation does contribute to disease susceptibility and can also influence drug responses (Single Nucleotide Polymorphisms).
It promotes diversity and persists over many generations because no single form has an overall advantage or disadvantage over the others in terms of natural selection.
It is originally used to describe visible forms of genes, but now used to include cryptic modes such as blood types, which require a blood test to decode.
In addition to having more than one allele at a specific locus, each allele must also occur in the population at a rate of at least 1% to generally be considered polymorphic.
Gene polymorphisms can occur in any region of the genome.
The majority of polymorphisms are silent, meaning they do not alter the function or expression of a gene.
Some polymorphism is visible. For example, in dogs the E locus, can have any of five different alleles, known as E, Em, Eg, Eh, and e. Varying combinations of these alleles contribute to the pigmentation and patterns seen in dog coats.
Human blood groups is also a polymorphic effect.
Human skin color is influenced by an intergenic DNA polymorphism regulating transcription of the nearby BNC2 pigmentation gene.
SNP (Single Nucleotide Polymorphic), SNP mapping, SNP profile, SNP types, SNP analysis by gel electropherosis and by mass spectrometry, SNP effects, single strand conformation polymorphism, SNP advantages and disadvantages and application of SNP profile in drug choice
complete Single Nucleotide Polymorphiitsm Detection methods with Advance techniques with its applications
Single nucleotide polymorphisms are single base variations between genomes within a species.
There are at least 10 million polymorphic sites in the human genome.
SNPs can distinguish individuals from one another
Denaturing Gradient Gel Electrophoresis
Chemical Cleavage Of Mismatch
Single-stranded Conformation Polymorphism (SSCP)
MutS Protein-binding Assays
Mismatch Repair Detection (MRD)
Heteroduplex Analysis (HA)
Denaturing High Performance Liquid Chromatography (DHPLC)
UNG-Mediated T-Sequencing
RNA-Mediated Finger printing with MALDI MS Detection
Sequencing by Hybridization
Direct DNA Sequencing
Single-feature polymorphism (SFP)
Invader probe
Allele-specific oligonucleotide probes
PCR-based methods
Allele specific primers
Sequence Polymorphism-Derived (SPD) markers
Targeting induced local lesions in genomes (TILLinG)
Minisequencing primers
Allele-specific ligation probes
DNA sequence variations are sometimes described as mutations and sometimes as polymorphisms. A gene is said to be polymorphic if more than one allele occupies that gene's locus within a population.
Polymorphic sequence variants usually do not cause overt debilitating diseases. Many are found outside of genes and are completely neutral in effect. Others may be found within genes, but may influence characteristics such as height and hair colour rather than characteristics of medical importance.
However, polymorphic sequence variation does contribute to disease susceptibility and can also influence drug responses (Single Nucleotide Polymorphisms).
It promotes diversity and persists over many generations because no single form has an overall advantage or disadvantage over the others in terms of natural selection.
It is originally used to describe visible forms of genes, but now used to include cryptic modes such as blood types, which require a blood test to decode.
In addition to having more than one allele at a specific locus, each allele must also occur in the population at a rate of at least 1% to generally be considered polymorphic.
Gene polymorphisms can occur in any region of the genome.
The majority of polymorphisms are silent, meaning they do not alter the function or expression of a gene.
Some polymorphism is visible. For example, in dogs the E locus, can have any of five different alleles, known as E, Em, Eg, Eh, and e. Varying combinations of these alleles contribute to the pigmentation and patterns seen in dog coats.
Human blood groups is also a polymorphic effect.
Human skin color is influenced by an intergenic DNA polymorphism regulating transcription of the nearby BNC2 pigmentation gene.
The study of the complete set of RNAs (transcriptome) encoded by the genome of a specific cell or organism at a specific time or under a specific set of conditions is called Transcriptomics.
Transcriptomics aims:
I. To catalogue all species of transcripts, including mRNAs, noncoding RNAs and small RNAs.
II. To determine the transcriptional structure of genes, in terms of their start sites, 5′ and 3′ ends, splicing patterns and other post-transcriptional modifications.
III. To quantify the changing expression levels of each transcript during development and under different conditions.
DNA Methylation: An Essential Element in Epigenetics Facts and TechnologiesQIAGEN
Check out this slide deck from Dr. Thorsten Singer and Dr. Ralf Peist to learn about DNA methylation in epigenetics, from its significance in cancer to strategies for studying it.
"Epigenetics refers to genetic factors that change an organism’s appearance or biological functions without changing the actual DNA sequence. In other words, gene expression changes but the genes themselves don’t. Epigenetics adds an additional level of complexity to the genetic code." - Public Health Cafe
The study of the complete set of RNAs (transcriptome) encoded by the genome of a specific cell or organism at a specific time or under a specific set of conditions is called Transcriptomics.
Transcriptomics aims:
I. To catalogue all species of transcripts, including mRNAs, noncoding RNAs and small RNAs.
II. To determine the transcriptional structure of genes, in terms of their start sites, 5′ and 3′ ends, splicing patterns and other post-transcriptional modifications.
III. To quantify the changing expression levels of each transcript during development and under different conditions.
DNA Methylation: An Essential Element in Epigenetics Facts and TechnologiesQIAGEN
Check out this slide deck from Dr. Thorsten Singer and Dr. Ralf Peist to learn about DNA methylation in epigenetics, from its significance in cancer to strategies for studying it.
"Epigenetics refers to genetic factors that change an organism’s appearance or biological functions without changing the actual DNA sequence. In other words, gene expression changes but the genes themselves don’t. Epigenetics adds an additional level of complexity to the genetic code." - Public Health Cafe
Open Source Pharma /Genomics and clinical practice / Prof Hosur opensourcepharmafound
Access to Research
Date 11-08-2018
Venue Conference HAll NIAS IISc campus
Conference and workshops for clinical practitioners to introduce them to modern tools and an alternative approach to modern scientific research.
Purpose
1. Build a network of physicians across the country
2 Train physicians to analyse clinical data and restructure it to make it compatible with research standards
3. Introduce modern tools to understand the mechanism of actions of medicine
4. Introduce artificial intelligence and machine learning to clinical practitioners to support decision-making processes
Access to Science
Clinical experience and traditional knowledge are important sources of data that affect decision making processes in modern healthcare systems. This data should be made accessible for scientific evaluation and validation to improve healthcare worldwide. The Open Source Pharma Foundation believes that clinical practitioners from various disciplines should have the right to access research so that they can help identify problems, contribute their scientific knowledge, and support the discovery ecosystem.
Background
The majority of medical practitioners working on the ground level with patients do not take part in open clinical research worldwide. However, the data collected and owned by them plays an important role in establishing better discovery pathways. Through this workshop, we seek to open opportunities to enhance health care systems around the world and to overcome the following challenges faced by medical practitioners.
1. Regulatory limitations
2. Academic limitations
3. Time constraints
4. Lack of access to modern tools
5. Lack of access to research facilities
Single Nucleotide Polymorphism (SNP)
Polymorphism is a generic term that means 'many shapes‘. It is the ability to appsear in different form .
A single nucleotide polymorphism (SNP) is a DNA sequence variation occurring when a single nucleotide - A, T, C, or G - in the genome differs between members of a species (or between paired chromosomes in an individual).
For example, two sequenced DNA fragments from different individuals, AAGCCTA to AAGCTTA, contain a difference in a single nucleotide. For a variation to be considered a SNP, it must occur in at least 1% of the population.
CHARACTERISTICS OF SNP
• In human beings, 99.9 percent bases are same.
• Remaining 0.1 percent makes a person unique.
• Different attributes / characteristics / traits
• How a person looks, diseases he or she develops.
These variations can be:
Harmless (change in phenotype)
Harmful (diabetes, cancer, heart disease, Huntington's disease, and hemophilia )
Latent (variations found in coding and regulatory regions, are not harmful on their own, and the change in each gene only becomes apparent under certain conditions e.g. susceptibility to lung cancer)
TYPES OF SNP
NON-CODING REGION
A segment of DNA that does comprise a gene and thus does not code for a protein .
CODING REGION
Regions of DNA/RNA sequences that code for proteins
Synonymous
A SNP in which both forms lead to the same polypeptide sequence is termed synonymous
(sometimes called a silent mutation).
Non synonymous
If a different polypeptide sequence is produced they are non synonymous . A non synonymous change may either be missense or nonsense, where a missense change results in a different amino acid, while a nonsense change results in a premature stop codon.
SNP Applications
• Gene discovery and mapping
• Association-based candidate polymorphism testing
• Diagnostics/risk profiling
• Response prediction
• Homogeneity testing/study design
• Gene function identification
Functional genomics has led to an improvement of our understanding of CVD and can be translated to clinical utility. Gene-based pre-symptomatic prediction of illness, finer diagnostic sub-classifications and improved risk assessment tools will permit earlier and more targeted intervention. Pharmacogenetics will guide our therapeutic decisions and monitor response to therapy. Personalised medicine requires the integration of clinical information, stable and dynamic genomics and molecular phenotyping.
It is now possible to systematically search the entire human genome for common variants that are associated with a particular phenotype. (HGP, HAP MAP)
The topic of pharmacogenetics and pharmacokinetics will be explored in this presentation, with a focus on how the way drugs are metabolized can be affected by genetics, and how this information can be used to personalize drug therapy. Topics such as drug response, drug metabolism, drug-drug interactions, and adverse drug reactions will be covered. The importance of pharmacokinetic profiling and therapeutic drug monitoring in ensuring drug safety and effectiveness will also be discussed. Valuable insights into the field of pharmacology and its potential to revolutionize patient care will be provided, making this presentation of interest to healthcare professionals, researchers, and those who wish to learn more about personalized medicine. The world of pharmacogenomics and genomic medicine will be delved into.
The presentation will also highlight the importance of pharmacodynamics and pharmacokinetics in drug development and clinical pharmacology.
By the end of this presentation, you will have a better understanding of the underlying principles of pharmacogenetics and pharmacokinetics and how they can be applied to optimize drug therapy for individual patients. This knowledge is essential for anyone involved in healthcare and drug development, as it has the potential to improve treatment outcomes and reduce adverse drug reactions.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
How to Make a Field invisible in Odoo 17Celine George
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
1. PRESENTED BY
BIPUL JYOTI DAS
M.Sc BIOTECHNOLOGY
3RD SEMESTER
ROLL NO: 17
CENTRE FOR STUDIES IN BIOTECHNOLOGY
DIBRUGARH UNIVERSITY
1
2. Single Nucleotide
Polymorphism
A Single Nucleotide Polymorphisms (SNP), pronounced
“snip,” is a genetic variation when a single nucleotide
(i.e., A, T, C, or G) is altered and kept through heredity.
◦ SNP: Single DNA base variation found >6%
◦ Mutation: Single DNA base variation found <1%
C T T A G C T T
C T T A G T T T
SNP
C T T A G C T T
C T T A G T T T
Mutation
94%
6%
99.9%
0.1%
2
4. Each SNP location in the genome can have up to
four versions: one for each nucleotide, A, C, G, and
T
A SNP and its distribution in a population might
look like the image to the right
Not all single-nucleotide changes are SNPs, though.
To be classified as a SNP, two or more versions of a
sequence must each be present in at least one
percent of the general population
SNPs occur throughout the human genome—about
one in every 300 nucleotide base pairs. This
translates to about 10 million SNPs within the 3-
billion nucleotide human genome
4
5. SNPs and disease-causing
mutations: Not the same!
First, to be classified as a SNP, the change must be present in at
least 1% of the general population. No known disease-causing
mutation is this common
Second, most disease-causing mutations occur within a gene's
coding or regulatory regions and affect the function of the protein
encoded by the gene. Unlike mutations, SNPs are not necessarily
located within genes, and they do not always affect the way a
protein functions
5
7. SNPs are divided into two main
categories:
SNPs
Linked
SNPs
Causative
SNPs
Coding
SNPs
Non-coding
SNPs
7
8. Linked SNPs
Also called indicative
SNPs
They do not reside within
genes and do not affect
protein function .
Nevertheless, they do
correspond to a particular
drug response or to the
risk for getting a certain
disease
8
9. Causative SNPs
Causative SNPs affect
the way a protein
functions, correlating
with a disease or
influencing a person's
response to medication
9
10. Coding SNPs
Located within the
coding region of a
gene, change the
amino acid sequence
of the gene's protein
product
10
11. Non-coding SNPs
Located within
the gene's
regulatory
sequences, change
the timing,
location, or level
of gene expression
11
12. eSNP ( Expression SNP )
SNPs that are not present in the coding - coding
region may still affect gene splicing ,
transcription factor binding , Messenger RNA
degradation, or the sequence of noncoding RNA
Gene expression affected by this type of SNP is
referred to as an eSNP and may be present
upstream or downstream from the gene
12
13. Finding SNPs in the human
genome
Scientists approach the problem of identifying ,
cataloging, and characterizing
SNPs in two main ways:
Genomic approaches
Functional approaches
13
15. What are the effects of SNPs ?
Where Result Effect
In coding
region
May be silent, o.g.,UUG→CUG, leu in both cases sSNP Usually no change in
phenotype
In coding
region
May change amino acid sequence, e.g., UUC→UUA,
phe to leu, Some characterize these as the least
common and most valuable SNPs, Many being
patented
cSNP
*
Phenotype change
(may be subtle
depending on amino
acid replacement and
position)
In coding
region
May create a "Stop"codon, e. g., UCA→UGA,
ser to stop
Phenotype change
In coding
region
May affect the rate of transcription
(up-or down-regulate)
cSNP
*
Possible phenotype
Change
Other
regions
No affect on gene products(7).
May act as genetic markers for multi-component
diseases. These are sometimes called anonymous
SNPs and are the most common.
rSNP*
*cSNP – coding *rSNP – regulatory
16. SNP analysis
16
Analytical methods to discover novel SNPs and
detect known SNPs include:
DNA sequencing
Capillary electrophoresis
Mass spectrometry
Electrochemical analysis
Gel electrophoresis
Restriction fragment length polymorphism etc
17. A wide range of human diseases
result from SNPs.
17
Sickle–cell anemia
β Thalassemia
Cystic fibrosis etc
18. Sickle–cell anemia
Sickle cell disease (SCD): a recessively
inherited chronic hemolytic anemia
Caused by a single nucleotide substitution in
the β globin gene on chromosome 11
Hemoglobin S (most common): GTG GAG
results in substitution of valine (hydrophobic) for
glutamate (hydrophilic)
19. Applying SNP profile to drug
choices
19
The drug Albuterol is commonly
prescribed to relieve the symptoms of
asthma
20. 20
Albuterol effectively relieves asthma symptoms in some people but not
in others. Scientists are currently studying how people with different
SNP profiles respond to treatment with albuterol.
21. 21
Albuterol acts on the beta -2 adrenergic Receptor ( beta 2AR
protein) to relieve asthma attacks.
23. 23
In analyzing a 3000 base pair stretch of the ADRB2 gene ,
scientists have identified 13 locations where SNPs exists.
24. 24
Scientists have looked at this region of DNA in many different
people , and have identified 12 different haplotypes , which are
unique combination of these 13 SNPs.
25. A set of closely linked genetic markers present on one chromosome
which tend to be inherited together (not easily separable by
recombination)
HAPLOTYPE
26. 26
We need to remember that Haplotypes come in pairs ( one
from mother and one from father ). Each distinct haplotype pair
represents a unique SNP profile.
27. 27
This pie chart shows the frequencies of several common SNP
profiles found in people with Asthma.
28. 28
When scientists administer to the five most common SNP profiles.
Albuterol helps people with profiles B and E a great deal , while people
with profile D were not helped at all.
29. 29
In the future , a physician will be able to determine a patient profile,
compare it with known data, and predict whether the patient will
respond to the drug Albuterol.
30. 30
The physician can then design the patients treatment accordingly . This
will be great improvement over a trial and error method physicians used
today.
31. Recent Research
Association of interleukin-1β–511 C/T polymorphism with tobacco-
associated cancer innortheast India: a study on oral and gastric cancer
M Lakhanpal, DS Yadav, TR Devi, LC Singh, KJ Singh… - Cancer
genetics, 2014 - Elsevier
A pilot study evaluating genetic alterations that drive tobacco-and betel quid-
associated oral cancer in Northeast India
DS Yadav, I Chattopadhyay, A Verma, TR Devi… - Tumor Biology, 2014 -
Springer
Accumulation of mutations over the complete mitochondrial genome in
tobacco-related oral cancer from northeast India
R Mondal, SK Ghosh - Mitochondrial DNA, 2013
Molecular diagnosis of Wilson disease using prevalent mutations and
informative single-nucleotide polymorphism markers
A Gupta, M Maulik, P Nasipuri… - Clinical …, 2007 - Am Assoc Clin Chem
32. References
^ Nachman, Michael W. (2001). "Single nucleotide polymorphisms
and recombination rate in humans". Trends in genetics 17 (9): 481–
485. (https://www.ncbi.nlm.nih.gov/pubmed/11525814).
^ Sachidanandam, Ravi; Weissman, David; Schmidt, Steven C.;
Kakol, Jerzy M.; Stein, Lincoln D.; Marth,Gabor; Sherry, Steve;
Mullikin, James C. et al. (2001). "A map of human genome sequence
variation containing
1.42 million single nucleotide polymorphisms". Nature 409 (6822):
928–33.
(https://www.ncbi.nlm.nih.gov/pubmed/11237013).
^ Fareed, M., Afzal, M (2013) "Single nucleotide polymorphism in
genome-wide association of human
population: A tool for broad spectrum service". Egyptian Journal of
Medical Human Genetics 14: 123–134.
.