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Is picking variants belonging to a specific group of genomes from .vcfVCF file possible?

GnomAD has publicly available VCF files that have variant data gathered from over 15k full genomesindividuals. For a university project, I want to samplerandomly select 1k of these genomesindividuals and get the variant data from those genomesbelgoning to them only.

I am very new to bioinformatics in general and upon checking VCF files and how they work, my current conclusion is that this task is not achievable through filtering the vcf file in any way since variants in these files have no direct connection to the genomes they occurred / were found in (and some fields of variants data hold information about the whole genome set like the percentageno array of occurrenceindividual IDs in different geographical regions which makes removing some of the genomes from the data sets a bit nonsensicalvariant entry that show which individuals had this variant).

But this task was given to me by a professor whom I believe is competent to realize the task was impossible if it is like I thought, so is there something I am missing? 

How can I go about filteringrandomly selecting a 1000 individuals from this 15 000 pool, and then generating a new VCF file with the 15k genome data of gnomAD down to 1kfrom these selected 1000?

Are there any fields that show which individuals genome samples showed a spesific variant entry in the VCF file?

Is picking variants belonging to a specific group of genomes from .vcf file possible?

GnomAD has publicly available VCF files that have variant data gathered from over 15k full genomes. For a university project, I want to sample 1k of these genomes and get the variant data from those genomes.

I am very new to bioinformatics in general and upon checking VCF files and how they work, my current conclusion is that this task is not achievable through filtering the vcf file in any way since variants in these files have no direct connection to the genomes they occurred / were found in (and some fields of variants data hold information about the whole genome set like the percentage of occurrence in different geographical regions which makes removing some of the genomes from the data sets a bit nonsensical).

But this task was given to me by a professor whom I believe is competent to realize the task was impossible if it is like I thought, so is there something I am missing? How can I go about filtering the 15k genome data of gnomAD down to 1k?

Is picking variants belonging to a specific group of genomes from VCF file possible?

GnomAD has publicly available VCF files that have variant data gathered from over 15k individuals. For a university project, I want to randomly select 1k of these individuals and get the variant data belgoning to them only.

I am very new to bioinformatics in general and upon checking VCF files and how they work, my current conclusion is that this task is not achievable through filtering the vcf file in any way since variants in these files have no direct connection to the genomes they were found in (no array of individual IDs in a variant entry that show which individuals had this variant).

But this task was given to me by a professor whom I believe is competent to realize the task was impossible if it is like I thought, so is there something I am missing? 

How can I go about randomly selecting a 1000 individuals from this 15 000 pool, and then generating a new VCF file with the data from these selected 1000?

Are there any fields that show which individuals genome samples showed a spesific variant entry in the VCF file?

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gnomADGnomAD has .vcf files publicly available VCF files that have variant data gathered from over 15k full genomes, for. For a university project, I want to sample 1k of these genomes and get the variant data from those genomes. 

I am very new to bioinformatics in general and upon checking .vcfVCF files and how they work, but my current conclusion is that this task is not achievable through filtering the vcf file in anywayany way since variants in these files have no direct connection to the genomes they occurred / were found in (and some fields of variants data hold information about the whole genome set like the percentage of occurranceoccurrence in different geographical regions which makes removing some of the genomes from the data sets a bit nonesensicalnonsensical). 

But this task was given to me by a professor whom I believe is competent to realize the task was impossible if it is like I thought, so is there something I am missing? How can I go about filtering the 15k genome data of gnomadgnomAD down to 1k?

gnomAD has .vcf files publicly available that have variant data gathered from over 15k full genomes, for a university project I want to sample 1k of these genomes and get the variant data from those genomes. I am very new to bioinformatics in general and upon checking .vcf files and how they work, but my current conclusion is that this task is not achievable through filtering the vcf file in anyway since variants in these files have no direct connection to the genomes they occurred / were found in (and some fields of variants data hold information about the whole genome set like the percentage of occurrance in different geographical regions which makes removing some of the genomes from the data sets a bit nonesensical). But this task was given to me by a professor whom I believe is competent to realize the task was impossible if it is like I thought, so is there something I am missing? How can I go about filtering the 15k genome data of gnomad down to 1k?

GnomAD has publicly available VCF files that have variant data gathered from over 15k full genomes. For a university project, I want to sample 1k of these genomes and get the variant data from those genomes. 

I am very new to bioinformatics in general and upon checking VCF files and how they work, my current conclusion is that this task is not achievable through filtering the vcf file in any way since variants in these files have no direct connection to the genomes they occurred / were found in (and some fields of variants data hold information about the whole genome set like the percentage of occurrence in different geographical regions which makes removing some of the genomes from the data sets a bit nonsensical). 

But this task was given to me by a professor whom I believe is competent to realize the task was impossible if it is like I thought, so is there something I am missing? How can I go about filtering the 15k genome data of gnomAD down to 1k?

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Is picking variants belonging to a specific group of genomes from .vcf file possible?

gnomAD has .vcf files publicly available that have variant data gathered from over 15k full genomes, for a university project I want to sample 1k of these genomes and get the variant data from those genomes. I am very new to bioinformatics in general and upon checking .vcf files and how they work, but my current conclusion is that this task is not achievable through filtering the vcf file in anyway since variants in these files have no direct connection to the genomes they occurred / were found in (and some fields of variants data hold information about the whole genome set like the percentage of occurrance in different geographical regions which makes removing some of the genomes from the data sets a bit nonesensical). But this task was given to me by a professor whom I believe is competent to realize the task was impossible if it is like I thought, so is there something I am missing? How can I go about filtering the 15k genome data of gnomad down to 1k?