2024
CYP2C gene polymorphisms in North African populations
Messaoudi M, Pakstis A, Boussetta S, Ben Ammar Elgaaied A, Kidd K, Cherni L. CYP2C gene polymorphisms in North African populations. Molecular Biology Reports 2024, 51: 1145. PMID: 39532754, DOI: 10.1007/s11033-024-10093-8.Peer-Reviewed Original ResearchConceptsNorth African populationsCYP2C genesHuman CYP2C genesSuperfamily of genesAfrican populationsRegulatory regionsIntronic SNPGenetic variationHaplotype frequenciesChromosome 10Pharmacogenetic markersFunctional consequencesGenesResponse to medical treatmentSNPsTunisian populationCYP2C9Drug metabolismForeign chemicalsCYP2C19North AfricansBackgroundCytochrome P450Clinically useful drugsGene polymorphismsPrincipal component analysis
2022
State of the Art for Microhaplotypes
Kidd KK, Pakstis AJ. State of the Art for Microhaplotypes. Genes 2022, 13: 1322. PMID: 35893059, PMCID: PMC9329722, DOI: 10.3390/genes13081322.Peer-Reviewed Original Research
2021
Genetic diversity of the North African population revealed by the typing of SNPs in the DRD2/ANKK1 genomic region
Mestiri S, Boussetta S, Pakstis AJ, Elkamel S, Elgaaied ABA, Kidd KK, Cherni L. Genetic diversity of the North African population revealed by the typing of SNPs in the DRD2/ANKK1 genomic region. Gene 2021, 777: 145466. PMID: 33524518, DOI: 10.1016/j.gene.2021.145466.Peer-Reviewed Original ResearchMeSH KeywordsAdultAfrica, NorthernAllelesBlack PeopleEthnicityFemaleGene FrequencyGenetic Predisposition to DiseaseGenetic VariationGenomicsGenotypeGenotyping TechniquesHaplotypesHeterozygoteHuman MigrationHumansLinkage DisequilibriumMaleMiddle AgedPolymorphism, Single NucleotideProtein Serine-Threonine KinasesReceptors, Dopamine D2ConceptsNorth African populationsGenetic diversitySingle nucleotide polymorphismsGenetic structureAncestral gene poolPeculiar genetic structureLowest average heterozygosityNorth African onesAfrican populationsHigh linkage disequilibriumGenetic driftGenomic regionsAverage heterozygosityGene poolSame locusLinkage disequilibriumDisequilibrium analysisGenetic componentGenesNucleotide polymorphismsLociReceptor geneDiversityHuman populationEuropean populations
2020
Population genetic data of 74 microhaplotypes in four major U.S. population groups
Oldoni F, Yoon L, Wootton SC, Lagacé R, Kidd KK, Podini D. Population genetic data of 74 microhaplotypes in four major U.S. population groups. Forensic Science International Genetics 2020, 49: 102398. PMID: 33045522, DOI: 10.1016/j.fsigen.2020.102398.Peer-Reviewed Original ResearchFrogAncestryCalc: A standalone batch likelihood computation tool for ancestry inference panels catalogued in FROG-kb
Rajeevan H, Soundararajan U, Pakstis AJ, Kidd KK. FrogAncestryCalc: A standalone batch likelihood computation tool for ancestry inference panels catalogued in FROG-kb. Forensic Science International Genetics 2020, 46: 102237. PMID: 31991337, DOI: 10.1016/j.fsigen.2020.102237.Peer-Reviewed Original Research
2019
Population relationships based on 170 ancestry SNPs from the combined Kidd and Seldin panels
Pakstis AJ, Speed WC, Soundararajan U, Rajeevan H, Kidd JR, Li H, Kidd KK. Population relationships based on 170 ancestry SNPs from the combined Kidd and Seldin panels. Scientific Reports 2019, 9: 18874. PMID: 31827153, PMCID: PMC6906462, DOI: 10.1038/s41598-019-55175-x.Peer-Reviewed Original ResearchConceptsGenetic diversityPopulation relationshipsHuman populationAncestry informative SNP panelsInformative SNP panelsMajor continental regionsHuman reference populationsSNP panelIndividual populationsGenotype dataReference populationNative American populationsDiverse collectionAISNPsAllele frequency databasesWorldwide populationDiversityFrequency databaseAmerican populationReference population dataPopulationSNPsPrincipal component analysisCombined panelCluster patternsGenetic relationships of European, Mediterranean, and SW Asian populations using a panel of 55 AISNPs
Pakstis AJ, Gurkan C, Dogan M, Balkaya HE, Dogan S, Neophytou PI, Cherni L, Boussetta S, Khodjet-El-Khil H, Ben Ammar ElGaaied A, Salvo NM, Janssen K, Olsen GH, Hadi S, Almohammed EK, Pereira V, Truelsen DM, Bulbul O, Soundararajan U, Rajeevan H, Kidd JR, Kidd KK. Genetic relationships of European, Mediterranean, and SW Asian populations using a panel of 55 AISNPs. European Journal Of Human Genetics 2019, 27: 1885-1893. PMID: 31285530, PMCID: PMC6871633, DOI: 10.1038/s41431-019-0466-6.Peer-Reviewed Original ResearchMAPlex - A massively parallel sequencing ancestry analysis multiplex for Asia-Pacific populations
Phillips C, McNevin D, Kidd K, Lagacé R, Wootton S, de la Puente M, Freire-Aradas A, Mosquera-Miguel A, Eduardoff M, Gross T, Dagostino L, Power D, Olson S, Hashiyada M, Oz C, Parson W, Schneider P, Lareu M, Daniel R. MAPlex - A massively parallel sequencing ancestry analysis multiplex for Asia-Pacific populations. Forensic Science International Genetics 2019, 42: 213-226. PMID: 31377479, DOI: 10.1016/j.fsigen.2019.06.022.Peer-Reviewed Original ResearchUsefulness of COMT gene polymorphisms in North African populations
Boussetta S, Cherni L, Pakstis AJ, Ben Salem N, Elkamel S, Khodjet-El-Khil H, Kidd KK, Elgaaied ABA. Usefulness of COMT gene polymorphisms in North African populations. Gene 2019, 696: 186-196. PMID: 30790653, DOI: 10.1016/j.gene.2019.02.021.Peer-Reviewed Original Research
2018
Microhaplotypes in forensic genetics
Oldoni F, Kidd KK, Podini D. Microhaplotypes in forensic genetics. Forensic Science International Genetics 2018, 38: 54-69. PMID: 30347322, DOI: 10.1016/j.fsigen.2018.09.009.Peer-Reviewed Original Research
2017
Increasing the reference populations for the 55 AISNP panel: the need and benefits
Pakstis AJ, Kang L, Liu L, Zhang Z, Jin T, Grigorenko EL, Wendt FR, Budowle B, Hadi S, Al Qahtani MS, Morling N, Mogensen HS, Themudo GE, Soundararajan U, Rajeevan H, Kidd JR, Kidd KK. Increasing the reference populations for the 55 AISNP panel: the need and benefits. International Journal Of Legal Medicine 2017, 131: 913-917. PMID: 28070634, PMCID: PMC5491587, DOI: 10.1007/s00414-016-1524-z.Peer-Reviewed Original Research
2016
Proposed nomenclature for microhaplotypes
Kidd KK. Proposed nomenclature for microhaplotypes. Human Genomics 2016, 10: 16. PMID: 27316555, PMCID: PMC4912715, DOI: 10.1186/s40246-016-0078-y.Peer-Reviewed Original ResearchMeSH KeywordsGene FrequencyGenetic Association StudiesHaplotypesHumansPolymorphism, Single NucleotideTerminology as TopicConceptsSingle nucleotide polymorphismsHUGO Gene Nomenclature CommitteeGene Nomenclature CommitteeGroup of genesGene familyPopulation geneticsChromosome numberChromosome 1Related genesGenetic markersNucleotide polymorphismsNomenclature CommitteeGenesMicrohaplotypesRootsChromosomesFamilyLociUnique characterStandardized nomenclatureGeneticsNomenclatureSequencePolymorphism
2015
Mongolians in the Genetic Landscape of Central Asia: Exploring the Genetic Relations among Mongolians and Other World Populations
Brissenden JE, Kidd JR, Evsanaa B, Togtokh AJ, Pakstis AJ, Friedlaender F, Kidd KK, Roscoe JM. Mongolians in the Genetic Landscape of Central Asia: Exploring the Genetic Relations among Mongolians and Other World Populations. Human Biology 2015, 87: 73-91. PMID: 26829292, DOI: 10.13110/humanbiology.87.2.0005.Peer-Reviewed Original Research
2014
Application of six IrisPlex SNPs and comparison of two eye color prediction systems in diverse Eurasia populations
Yun L, Gu Y, Rajeevan H, Kidd KK. Application of six IrisPlex SNPs and comparison of two eye color prediction systems in diverse Eurasia populations. International Journal Of Legal Medicine 2014, 128: 447-453. PMID: 24395150, DOI: 10.1007/s00414-013-0953-1.Peer-Reviewed Original Research
2013
An historical perspective on “The world-wide distribution of allele frequencies at the human dopamine D4 receptor locus”
Kidd KK, Pakstis AJ, Yun L. An historical perspective on “The world-wide distribution of allele frequencies at the human dopamine D4 receptor locus”. Human Genetics 2013, 133: 431-433. PMID: 24162668, DOI: 10.1007/s00439-013-1386-0.Peer-Reviewed Original ResearchConceptsThousands of lociGene frequency patternsPatterns of divergenceRandom genetic driftHuman population geneticsLow-frequency allelesDopamine D4 receptor locusGenetic driftPopulation geneticsImportant genesPopulation variationWorld-wide distributionReceptor locusFrequency allelesDifferent allelesLociDistinct populationsNative American populationsEast Asian populationsAllelesAllele frequenciesSame populationAmerican populationGenesGeneticsWorldwide Population Variation and Haplotype Analysis at the Serotonin Transporter Gene SLC6A4 and Implications for Association Studies
Murdoch JD, Speed WC, Pakstis AJ, Heffelfinger CE, Kidd KK. Worldwide Population Variation and Haplotype Analysis at the Serotonin Transporter Gene SLC6A4 and Implications for Association Studies. Biological Psychiatry 2013, 74: 879-889. PMID: 23510579, DOI: 10.1016/j.biopsych.2013.02.006.Peer-Reviewed Original ResearchConceptsVariable number tandem repeatSingle nucleotide polymorphismsFunctional single nucleotide polymorphismsPromoter variable number tandem repeatRestricted distributionAssociation studiesRare allelesPutative functional single nucleotide polymorphismsPossible functional variationPopulation-specific distributionWide geographic distributionAlleles of interestHealth-related phenotypesAdditional single nucleotide polymorphismsPopulation variationSerotonin transporter gene SLC6A4Transporter geneFunctional variationTandem repeatsNumber tandem repeatSNP rs25531Extent of variationGeographic distributionNucleotide polymorphismsHaplotype background
2012
Structural diversity and African origin of the 17q21.31 inversion polymorphism
Steinberg KM, Antonacci F, Sudmant PH, Kidd JM, Campbell CD, Vives L, Malig M, Scheinfeldt L, Beggs W, Ibrahim M, Lema G, Nyambo TB, Omar SA, Bodo JM, Froment A, Donnelly MP, Kidd KK, Tishkoff SA, Eichler EE. Structural diversity and African origin of the 17q21.31 inversion polymorphism. Nature Genetics 2012, 44: 872-880. PMID: 22751100, PMCID: PMC3408829, DOI: 10.1038/ng.2335.Peer-Reviewed Original ResearchExpanding data and resources for forensic use of SNPs in individual identification
Kidd KK, Kidd JR, Speed WC, Fang R, Furtado MR, Hyland FC, Pakstis AJ. Expanding data and resources for forensic use of SNPs in individual identification. Forensic Science International Genetics 2012, 6: 646-652. PMID: 22445421, DOI: 10.1016/j.fsigen.2012.02.012.Peer-Reviewed Original ResearchCrohn's Disease Risk Alleles on the NOD2 Locus Have Been Maintained by Natural Selection on Standing Variation
Nakagome S, Mano S, Kozlowski L, Bujnicki JM, Shibata H, Fukumaki Y, Kidd JR, Kidd KK, Kawamura S, Oota H. Crohn's Disease Risk Alleles on the NOD2 Locus Have Been Maintained by Natural Selection on Standing Variation. Molecular Biology And Evolution 2012, 29: 1569-1585. PMID: 22319155, PMCID: PMC3697811, DOI: 10.1093/molbev/mss006.Peer-Reviewed Original ResearchMeSH KeywordsAmino Acid SubstitutionCrohn DiseaseGene FrequencyGenetic Predisposition to DiseaseGenotyping TechniquesHaplotypesHumansModels, GeneticModels, MolecularNod2 Signaling Adaptor ProteinPhylogenyPolymorphism, Single NucleotideProtein Structure, SecondaryProtein Structure, TertiaryRisk FactorsSelection, GeneticSequence Analysis, DNAConceptsDisease risk allelesNatural selectionCD risk allelesGenome-wide association studiesClassical linkage analysisMost recent common ancestorPhylogenetic network analysisRecent common ancestorNOD2 proteinProtein structural predictionRecent genome-wide association studiesHigh-frequency haplotypesSerious conformational changesEuropean populationsAmino acid substitutionsRisk allelesStanding variationDeleterious haplotypesEvolutionary studiesCoalescent simulationsCommon ancestorGenomic regionsNon-European populationsEntire genomeDiploid individuals
2011
A global view of the OCA2-HERC2 region and pigmentation
Donnelly MP, Paschou P, Grigorenko E, Gurwitz D, Barta C, Lu RB, Zhukova OV, Kim JJ, Siniscalco M, New M, Li H, Kajuna SL, Manolopoulos VG, Speed WC, Pakstis AJ, Kidd JR, Kidd KK. A global view of the OCA2-HERC2 region and pigmentation. Human Genetics 2011, 131: 683-696. PMID: 22065085, PMCID: PMC3325407, DOI: 10.1007/s00439-011-1110-x.Peer-Reviewed Original Research