FSTest: an efficient tool for cross-population fixation index estimation on variant call format files
Fixation index ( F st ) statistics provide critical insights into evolutionary processes affecting the structure of genetic variation within and among populations. F st statistics have been widely applied in population and evolutionary genetics to identify genomic regions targeted by selection press...
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creator | Vahedi, Seyed Milad Salek Ardestani, Siavash |
description | Fixation index (
F
st
) statistics provide critical insights into evolutionary processes affecting the structure of genetic variation within and among populations.
F
st
statistics have been widely applied in population and evolutionary genetics to identify genomic regions targeted by selection pressures. The FSTest 1.3 software was developed to estimate four
F
st
statistics of Hudson, Weir and Cockerham, Nei, and Wright using high-throughput genotyping or sequencing data. Here, we introduced FSTest 1.3 and compared its performance with two widely used software VCFtools 0.1.16 and PLINK 2.0. Chromosome 1 of 1000 Genomes Phase III variant data belonging to South Asian (
n
= 211) and African (
n
= 274) populations were included as an example case in this study. Different
F
st
estimates were calculated for each single-nucleotide polymorphism (SNP) in a pairwise comparison of South Asian against African populations, and the results of FSTest 1.3 were confirmed by VCFtools 0.1.16 and PLINK 2.0. Two different sliding window approaches, one based on a fixed number of SNPs and another based on a fixed number of base pair (bp) were conducted using FSTest 1.3 and VCFtools 0.1.16. Our results showed that regions with low coverage genotypic data could lead to an overestimation of
F
st
in sliding window analysis using a fixed number of bp. FSTest 1.3 could mitigate this challenge by estimating the average of consecutive SNPs along the chromosome. FSTest 1.3 allows direct analysis of VCF files with a small amount of code and can calculate
F
st
estimates on a desktop computer for more than a million SNPs in a few minutes. FSTest 1.3 is freely available at
https://github.com/similab/FSTest
. |
doi_str_mv | 10.1007/s12041-023-01459-1 |
format | Article |
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F
st
) statistics provide critical insights into evolutionary processes affecting the structure of genetic variation within and among populations.
F
st
statistics have been widely applied in population and evolutionary genetics to identify genomic regions targeted by selection pressures. The FSTest 1.3 software was developed to estimate four
F
st
statistics of Hudson, Weir and Cockerham, Nei, and Wright using high-throughput genotyping or sequencing data. Here, we introduced FSTest 1.3 and compared its performance with two widely used software VCFtools 0.1.16 and PLINK 2.0. Chromosome 1 of 1000 Genomes Phase III variant data belonging to South Asian (
n
= 211) and African (
n
= 274) populations were included as an example case in this study. Different
F
st
estimates were calculated for each single-nucleotide polymorphism (SNP) in a pairwise comparison of South Asian against African populations, and the results of FSTest 1.3 were confirmed by VCFtools 0.1.16 and PLINK 2.0. Two different sliding window approaches, one based on a fixed number of SNPs and another based on a fixed number of base pair (bp) were conducted using FSTest 1.3 and VCFtools 0.1.16. Our results showed that regions with low coverage genotypic data could lead to an overestimation of
F
st
in sliding window analysis using a fixed number of bp. FSTest 1.3 could mitigate this challenge by estimating the average of consecutive SNPs along the chromosome. FSTest 1.3 allows direct analysis of VCF files with a small amount of code and can calculate
F
st
estimates on a desktop computer for more than a million SNPs in a few minutes. FSTest 1.3 is freely available at
https://github.com/similab/FSTest
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F
st
) statistics provide critical insights into evolutionary processes affecting the structure of genetic variation within and among populations.
F
st
statistics have been widely applied in population and evolutionary genetics to identify genomic regions targeted by selection pressures. The FSTest 1.3 software was developed to estimate four
F
st
statistics of Hudson, Weir and Cockerham, Nei, and Wright using high-throughput genotyping or sequencing data. Here, we introduced FSTest 1.3 and compared its performance with two widely used software VCFtools 0.1.16 and PLINK 2.0. Chromosome 1 of 1000 Genomes Phase III variant data belonging to South Asian (
n
= 211) and African (
n
= 274) populations were included as an example case in this study. Different
F
st
estimates were calculated for each single-nucleotide polymorphism (SNP) in a pairwise comparison of South Asian against African populations, and the results of FSTest 1.3 were confirmed by VCFtools 0.1.16 and PLINK 2.0. Two different sliding window approaches, one based on a fixed number of SNPs and another based on a fixed number of base pair (bp) were conducted using FSTest 1.3 and VCFtools 0.1.16. Our results showed that regions with low coverage genotypic data could lead to an overestimation of
F
st
in sliding window analysis using a fixed number of bp. FSTest 1.3 could mitigate this challenge by estimating the average of consecutive SNPs along the chromosome. FSTest 1.3 allows direct analysis of VCF files with a small amount of code and can calculate
F
st
estimates on a desktop computer for more than a million SNPs in a few minutes. FSTest 1.3 is freely available at
https://github.com/similab/FSTest
.</description><subject>African People - genetics</subject><subject>Animal Genetics and Genomics</subject><subject>Asian People - genetics</subject><subject>Biological Evolution</subject><subject>Biomedical and Life Sciences</subject><subject>Chromosomes, Human, Pair 1 - genetics</subject><subject>Evolutionary Biology</subject><subject>Genetic Variation - genetics</subject><subject>Genetics, Population - methods</subject><subject>Genetics, Population - statistics & numerical data</subject><subject>Genomics</subject><subject>Genotype</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Microbial Genetics and Genomics</subject><subject>Plant Genetics and Genomics</subject><subject>Research Article</subject><subject>South Asian People - genetics</subject><issn>0973-7731</issn><issn>0973-7731</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMFPwyAYxYnRuDn9BzyYHr2gfNCW4s0sTk1MPDjPhFIwLF2Z0Jr534vrNJ5MSPjC934vvIfQOZArIIRfR6AkB0wowwTyQmA4QFMiOMOcMzj8M0_QSYwrQijlhB6jCatoUVEhpsgsXpYm9jeZ6jJjrdPOdH3We99m1odMBx8j3vjN0Kre-S6zbjsOrmvMNkuoW48P6Xyo4FTCtWp3eNokoDXxFB1Z1UZztr9n6HVxt5w_4Kfn-8f57RPWLKc9LjWjOdXMVIJCyYCzuhSCFApoblWjibIM8rrhpbGV0iUVumRFAQpYnaI1bIYuR99N8O9D-pxcu6hN26rO-CFKKoBXZc4JSVI6SncRg7FyE1KU8CmByO965VivTPXKXb0SEnSx9x_qtWl-kZ8-k4CNgphW3ZsJcuWH0KXM_9l-AW5pheA</recordid><startdate>20240105</startdate><enddate>20240105</enddate><creator>Vahedi, Seyed Milad</creator><creator>Salek Ardestani, Siavash</creator><general>Springer India</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2284-5664</orcidid><orcidid>https://orcid.org/0000-0002-5846-2107</orcidid></search><sort><creationdate>20240105</creationdate><title>FSTest: an efficient tool for cross-population fixation index estimation on variant call format files</title><author>Vahedi, Seyed Milad ; Salek Ardestani, Siavash</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-6c3242c3e892163173b69905a124fadc0af314bd76ef8ac629c63551a13b227d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>African People - genetics</topic><topic>Animal Genetics and Genomics</topic><topic>Asian People - genetics</topic><topic>Biological Evolution</topic><topic>Biomedical and Life Sciences</topic><topic>Chromosomes, Human, Pair 1 - genetics</topic><topic>Evolutionary Biology</topic><topic>Genetic Variation - genetics</topic><topic>Genetics, Population - methods</topic><topic>Genetics, Population - statistics & numerical data</topic><topic>Genomics</topic><topic>Genotype</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Microbial Genetics and Genomics</topic><topic>Plant Genetics and Genomics</topic><topic>Research Article</topic><topic>South Asian People - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vahedi, Seyed Milad</creatorcontrib><creatorcontrib>Salek Ardestani, Siavash</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vahedi, Seyed Milad</au><au>Salek Ardestani, Siavash</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>FSTest: an efficient tool for cross-population fixation index estimation on variant call format files</atitle><jtitle>Journal of genetics</jtitle><stitle>J Genet</stitle><addtitle>J Genet</addtitle><date>2024-01-05</date><risdate>2024</risdate><volume>103</volume><issue>1</issue><artnum>4</artnum><issn>0973-7731</issn><eissn>0973-7731</eissn><abstract>Fixation index (
F
st
) statistics provide critical insights into evolutionary processes affecting the structure of genetic variation within and among populations.
F
st
statistics have been widely applied in population and evolutionary genetics to identify genomic regions targeted by selection pressures. The FSTest 1.3 software was developed to estimate four
F
st
statistics of Hudson, Weir and Cockerham, Nei, and Wright using high-throughput genotyping or sequencing data. Here, we introduced FSTest 1.3 and compared its performance with two widely used software VCFtools 0.1.16 and PLINK 2.0. Chromosome 1 of 1000 Genomes Phase III variant data belonging to South Asian (
n
= 211) and African (
n
= 274) populations were included as an example case in this study. Different
F
st
estimates were calculated for each single-nucleotide polymorphism (SNP) in a pairwise comparison of South Asian against African populations, and the results of FSTest 1.3 were confirmed by VCFtools 0.1.16 and PLINK 2.0. Two different sliding window approaches, one based on a fixed number of SNPs and another based on a fixed number of base pair (bp) were conducted using FSTest 1.3 and VCFtools 0.1.16. Our results showed that regions with low coverage genotypic data could lead to an overestimation of
F
st
in sliding window analysis using a fixed number of bp. FSTest 1.3 could mitigate this challenge by estimating the average of consecutive SNPs along the chromosome. FSTest 1.3 allows direct analysis of VCF files with a small amount of code and can calculate
F
st
estimates on a desktop computer for more than a million SNPs in a few minutes. FSTest 1.3 is freely available at
https://github.com/similab/FSTest
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source | MEDLINE; Indian Academy of Sciences; EZB-FREE-00999 freely available EZB journals; SpringerLink Journals - AutoHoldings |
subjects | African People - genetics Animal Genetics and Genomics Asian People - genetics Biological Evolution Biomedical and Life Sciences Chromosomes, Human, Pair 1 - genetics Evolutionary Biology Genetic Variation - genetics Genetics, Population - methods Genetics, Population - statistics & numerical data Genomics Genotype Humans Life Sciences Microbial Genetics and Genomics Plant Genetics and Genomics Research Article South Asian People - genetics |
title | FSTest: an efficient tool for cross-population fixation index estimation on variant call format files |
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