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Read the passage carefully and answer the following questions:
Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.
Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.
We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.
But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.
The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.
Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.
SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.
We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.
Q. Which of the following is the author most likely to agree with?
  • a)
    We need oncologists who treat cancer to apply the methodology of genetic signatures in the treatment of autism.
  • b)
    A large and diverse set of samples can help in learning about the various genetic variations contributing to autistic behaviours.
  • c)
    The treatment strategies used for cancer can also be utilised to treat autism with the help of big data.
  • d)
    Genes do not play much of an important role in causing autism, and hence, some forms of autism cannot be detected during newborn screening.
Correct answer is option 'B'. Can you explain this answer?
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Verified Answer
Read the passage carefully and answer the following questions:Five yea...
{"Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism."} The above line means that just like oncologists treat different types of cancers based on their genetic signatures differently, we need to use targeted treatment strategies to treat people with autism. But option A says that we need oncologists to treat autism, which distorts the author's message. Hence A is incorrect.
{"... learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants." }The author says that to learn about the contribution of genetic variants to autistic behaviours, we would need a large and diverse data set. Hence, we can clearly infer option B.
It is not mentioned in the passage that the treatment strategies used to treat cancer can be extended to autism. Option C is incorrect.
{"We now know that genes play a central role in the causes of these “autisms,” which are the result ..." } Option D is incorrect because it is quite the opposite of what has been mentioned in the line above. Moreover, the author says 'missed' during newborn screening, means something that was there but was not detected because of an error.
Hence, the author would most likely agree with option B.
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Most Upvoted Answer
Read the passage carefully and answer the following questions:Five yea...
{"Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism."} The above line means that just like oncologists treat different types of cancers based on their genetic signatures differently, we need to use targeted treatment strategies to treat people with autism. But option A says that we need oncologists to treat autism, which distorts the author's message. Hence A is incorrect.
{"... learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants." }The author says that to learn about the contribution of genetic variants to autistic behaviours, we would need a large and diverse data set. Hence, we can clearly infer option B.
It is not mentioned in the passage that the treatment strategies used to treat cancer can be extended to autism. Option C is incorrect.
{"We now know that genes play a central role in the causes of these “autisms,” which are the result ..." } Option D is incorrect because it is quite the opposite of what has been mentioned in the line above. Moreover, the author says 'missed' during newborn screening, means something that was there but was not detected because of an error.
Hence, the author would most likely agree with option B.
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Community Answer
Read the passage carefully and answer the following questions:Five yea...
Explanation:

Author's Agreement:
- The author is most likely to agree with the statement that a large and diverse set of samples can help in learning about the various genetic variations contributing to autistic behaviors.

Reasoning:
- The passage emphasizes the importance of collecting a large and diverse sample size to understand the genetic causes of autism.
- It mentions that genetic research has revealed autism to be a spectrum of conditions with varying genetic influences.
- By engaging a wide range of participants, researchers can identify major genetic contributors and analyze how different genetic variants contribute to autistic behaviors.

Conclusion:
- Based on the information provided in the passage, it can be inferred that the author would support the idea that a comprehensive and diverse dataset is essential for gaining insights into the genetic underpinnings of autism.
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Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.All of the following have been discussed in the passage as benefits of having richer and bigger datasets EXCEPT

Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following cannot be inferred?I. The effectiveness of big data is determined not by its size but by its diversity.II. Genes are a major factor influencing autism.III. Consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.

Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.The purpose of the last three paragraphs is to

Answer the following question based on the information given below.Claude Elwood Shannon, a mathematician born in Gaylord, Michigan (U.S.) in 1916, is credited with two important contributions to information technology: the application of Boolean theory to electronic switching, thus laying the groundwork for the digital computer, and developing the new field called information theory. It is difficult to overstate the impact which Claude Shannon has had on the 20th century and the way we live and work in it, yet he remains practically unknown to the general public. Shannon spent the bulk of his career, a span of over 30 years from 1941 to 1972, at Bell Labs where he worked as a mathematician dedicated to research.While a graduate student at MIT in the late 1930s, Shannon worked for Vannevar Bush who was at that time building a mechanical computer, the Differential Analyser. Shannon had the insight to apply the two-valued Boolean logic to electrical circuits (which could be in either of two states - on or off). This syncretism of two hitherto distinct fields earned Shannon his MS in 1937 and his doctorate in 1940.Not content with laying the logical foundations of both the modern telephone switch and the digital computer, Shannon went on to invent the discipline of information theory and revolutionize the field of communications. He developed the concept of entropy in communication systems, the idea that information is based on uncertainty. This concept says that the more uncertainty in a communication channel, the more information that can be transmitted and vice versa. Shannon used mathematics to define the capacity of any communications channel to optimize the signal-to-noise ratio. He envisioned the possibility of error-free communications for telecommunications, the Internet, and satellite systems.A Mathematical Theory Of Communication , published in the Bell Systems Technical Journal in 1948, outlines the principles of his information theory. Information Theory also has important ramifications for the field of cryptography as explained in his 1949 paper Communication Theory of Secrecy Systems- in a nutshell, the more entropy a cryptographic system has, the harder the resulting encryption is to break.Shannon's varied retirement interests included inventing unicycles, motorized pogo sticks, and chess-playing robots as well as juggling - he developed an equation describing the relationship between the position of the balls and the action of the hands. Claude Shannon died on February 24, 2001.Q. What is the concept of entropy described in the passage?

Group QuestionAnswer the following question based on the information given below.Claude Elwood Shannon, a mathematician born in Gaylord, Michigan (U.S.) in 1916, is credited with two important contributions to information technology: the application of Boolean theory to electronic switching, thus laying the groundwork for the digital computer, and developing the new field called information theory. It is difficult to overstate the impact which Claude Shannon has had on the 20th century and the way we live and work in it, yet he remains practically unknown to the general public. Shannon spent the bulk of his career, a span of over 30 years from 1941 to 1972, at Bell Labs where he worked as a mathematician dedicated to research.While a graduate student at MIT in the late 1930s, Shannon worked for Vannevar Bush who was at that time building a mechanical computer, the Differential Analyser. Shannon had the insight to apply the two-valued Boolean logic to electrical circuits (which could be in either of two states - on or off). This syncretism of two hitherto distinct fields earned Shannon his MS in 1937 and his doctorate in 1940.Not content with laying the logical foundations of both the modern telephone switch and the digital computer, Shannon went on to invent the discipline of information theory and revolutionize the field of communications. He developed the concept of entropy in communication systems, the idea that information is based on uncertainty. This concept says that the more uncertainty in a communication channel, the more information that can be transmitted and vice versa. Shannon used mathematics to define the capacity of any communications channel to optimize the signal-to-noise ratio. He envisioned the possibility of error-free communications for telecommunications, the Internet, and satellite systems.A Mathematical Theory Of Communication , published in the Bell Systems Technical Journal in 1948, outlines the principles of his information theory. Information Theory also has important ramifications for the field of cryptography as explained in his 1949 paper Communication Theory of Secrecy Systems- in a nutshell, the more entropy a cryptographic system has, the harder the resulting encryption is to break.Shannons varied retirement interests included inventing unicycles, motorized pogo sticks, and chess-playing robots as well as juggling - he developed an equation describing the relationship between the position of the balls and the action of the hands. Claude Shannon died on February 24, 2001.Q. In the above passage, Shannon is being credited with

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Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following is the author most likely to agree with?a)We need oncologists who treat cancer to apply the methodology of genetic signatures in the treatment of autism.b)A large and diverse set of samples can help in learning about the various genetic variations contributing to autistic behaviours.c)The treatment strategies used for cancer can also be utilised to treat autism with the help of big data.d)Genes do not play much of an important role in causing autism, and hence, some forms of autism cannot be detected during newborn screening.Correct answer is option 'B'. Can you explain this answer?
Question Description
Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following is the author most likely to agree with?a)We need oncologists who treat cancer to apply the methodology of genetic signatures in the treatment of autism.b)A large and diverse set of samples can help in learning about the various genetic variations contributing to autistic behaviours.c)The treatment strategies used for cancer can also be utilised to treat autism with the help of big data.d)Genes do not play much of an important role in causing autism, and hence, some forms of autism cannot be detected during newborn screening.Correct answer is option 'B'. Can you explain this answer? for CAT 2025 is part of CAT preparation. The Question and answers have been prepared according to the CAT exam syllabus. Information about Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following is the author most likely to agree with?a)We need oncologists who treat cancer to apply the methodology of genetic signatures in the treatment of autism.b)A large and diverse set of samples can help in learning about the various genetic variations contributing to autistic behaviours.c)The treatment strategies used for cancer can also be utilised to treat autism with the help of big data.d)Genes do not play much of an important role in causing autism, and hence, some forms of autism cannot be detected during newborn screening.Correct answer is option 'B'. Can you explain this answer? covers all topics & solutions for CAT 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following is the author most likely to agree with?a)We need oncologists who treat cancer to apply the methodology of genetic signatures in the treatment of autism.b)A large and diverse set of samples can help in learning about the various genetic variations contributing to autistic behaviours.c)The treatment strategies used for cancer can also be utilised to treat autism with the help of big data.d)Genes do not play much of an important role in causing autism, and hence, some forms of autism cannot be detected during newborn screening.Correct answer is option 'B'. Can you explain this answer?.
Solutions for Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following is the author most likely to agree with?a)We need oncologists who treat cancer to apply the methodology of genetic signatures in the treatment of autism.b)A large and diverse set of samples can help in learning about the various genetic variations contributing to autistic behaviours.c)The treatment strategies used for cancer can also be utilised to treat autism with the help of big data.d)Genes do not play much of an important role in causing autism, and hence, some forms of autism cannot be detected during newborn screening.Correct answer is option 'B'. Can you explain this answer? in English & in Hindi are available as part of our courses for CAT. Download more important topics, notes, lectures and mock test series for CAT Exam by signing up for free.
Here you can find the meaning of Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following is the author most likely to agree with?a)We need oncologists who treat cancer to apply the methodology of genetic signatures in the treatment of autism.b)A large and diverse set of samples can help in learning about the various genetic variations contributing to autistic behaviours.c)The treatment strategies used for cancer can also be utilised to treat autism with the help of big data.d)Genes do not play much of an important role in causing autism, and hence, some forms of autism cannot be detected during newborn screening.Correct answer is option 'B'. Can you explain this answer? defined & explained in the simplest way possible. Besides giving the explanation of Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following is the author most likely to agree with?a)We need oncologists who treat cancer to apply the methodology of genetic signatures in the treatment of autism.b)A large and diverse set of samples can help in learning about the various genetic variations contributing to autistic behaviours.c)The treatment strategies used for cancer can also be utilised to treat autism with the help of big data.d)Genes do not play much of an important role in causing autism, and hence, some forms of autism cannot be detected during newborn screening.Correct answer is option 'B'. Can you explain this answer?, a detailed solution for Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following is the author most likely to agree with?a)We need oncologists who treat cancer to apply the methodology of genetic signatures in the treatment of autism.b)A large and diverse set of samples can help in learning about the various genetic variations contributing to autistic behaviours.c)The treatment strategies used for cancer can also be utilised to treat autism with the help of big data.d)Genes do not play much of an important role in causing autism, and hence, some forms of autism cannot be detected during newborn screening.Correct answer is option 'B'. Can you explain this answer? has been provided alongside types of Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following is the author most likely to agree with?a)We need oncologists who treat cancer to apply the methodology of genetic signatures in the treatment of autism.b)A large and diverse set of samples can help in learning about the various genetic variations contributing to autistic behaviours.c)The treatment strategies used for cancer can also be utilised to treat autism with the help of big data.d)Genes do not play much of an important role in causing autism, and hence, some forms of autism cannot be detected during newborn screening.Correct answer is option 'B'. Can you explain this answer? theory, EduRev gives you an ample number of questions to practice Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following is the author most likely to agree with?a)We need oncologists who treat cancer to apply the methodology of genetic signatures in the treatment of autism.b)A large and diverse set of samples can help in learning about the various genetic variations contributing to autistic behaviours.c)The treatment strategies used for cancer can also be utilised to treat autism with the help of big data.d)Genes do not play much of an important role in causing autism, and hence, some forms of autism cannot be detected during newborn screening.Correct answer is option 'B'. Can you explain this answer? tests, examples and also practice CAT tests.
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