Matches in SemOpenAlex for { <https://semopenalex.org/work/W2126605271> ?p ?o ?g. }
- W2126605271 endingPage "2128" @default.
- W2126605271 startingPage "2122" @default.
- W2126605271 abstract "Abstract Motivation: The identification of signatures of positive selection can provide important insights into recent evolutionary history in human populations. Current methods mostly rely on allele frequency determination or focus on one or a small number of candidate chromosomal regions per study. With the availability of large-scale genotype data, efficient approaches for an unbiased whole genome scan are becoming necessary. Methods: We have developed a new method, the whole genome long-range haplotype test (WGLRH), which uses genome-wide distributions to test for recent positive selection. Adapted from the long-range haplotype (LRH) test, the WGLRH test uses patterns of linkage disequilibrium (LD) to identify regions with extremely low historic recombination. Common haplotypes with significantly longer than expected ranges of LD given their frequencies are identified as putative signatures of recent positive selection. In addition, we have also determined the ancestral alleles of SNPs by genotyping chimpanzee and gorilla DNA, and have identified SNPs where the non-ancestral alleles have risen to extremely high frequencies in human populations, termed ‘flipped SNPs’. Combining the haplotype test and the flipped SNPs determination, the WGLRH test serves as an unbiased genome-wide screen for regions under putative selection, and is potentially applicable to the study of other human populations. Results: Using WGLRH and high-density oligonucleotide arrays interrogating 116 204 SNPs, we rapidly identified putative regions of positive selection in three populations (Asian, Caucasian, African-American), and extended these observations to a fourth population, Yoruba, with data obtained from the International HapMap consortium. We mapped significant regions to annotated genes. While some regions overlap with genes previously suggested to be under positive selection, many of the genes have not been previously implicated in natural selection and offer intriguing possibilities for further study. Availability: the programs for the WGLRH algorithm are freely available and can be downloaded at Contact: Giulia_Kennedy@affymetrix.com Supplementary Material: Three Supplementary tables" @default.
- W2126605271 created "2016-06-24" @default.
- W2126605271 creator A5003083078 @default.
- W2126605271 creator A5006226110 @default.
- W2126605271 creator A5025156587 @default.
- W2126605271 creator A5032222555 @default.
- W2126605271 creator A5051250765 @default.
- W2126605271 creator A5061312181 @default.
- W2126605271 creator A5072780737 @default.
- W2126605271 creator A5074117254 @default.
- W2126605271 creator A5078882032 @default.
- W2126605271 creator A5086038672 @default.
- W2126605271 creator A5087352430 @default.
- W2126605271 creator A5090380921 @default.
- W2126605271 date "2006-07-15" @default.
- W2126605271 modified "2023-09-26" @default.
- W2126605271 title "A whole genome long-range haplotype (WGLRH) test for detecting imprints of positive selection in human populations" @default.
- W2126605271 cites W1583721197 @default.
- W2126605271 cites W1970761420 @default.
- W2126605271 cites W1973769499 @default.
- W2126605271 cites W1982663312 @default.
- W2126605271 cites W1987752391 @default.
- W2126605271 cites W2033041275 @default.
- W2126605271 cites W2033995133 @default.
- W2126605271 cites W2037777185 @default.
- W2126605271 cites W2039323256 @default.
- W2126605271 cites W2044025832 @default.
- W2126605271 cites W2055371457 @default.
- W2126605271 cites W2055543630 @default.
- W2126605271 cites W2058993504 @default.
- W2126605271 cites W2097103181 @default.
- W2126605271 cites W2103286878 @default.
- W2126605271 cites W2104670802 @default.
- W2126605271 cites W2105343701 @default.
- W2126605271 cites W2110973918 @default.
- W2126605271 cites W2117790117 @default.
- W2126605271 cites W2128606984 @default.
- W2126605271 cites W2148896102 @default.
- W2126605271 cites W2152664025 @default.
- W2126605271 cites W2161282108 @default.
- W2126605271 cites W2162530578 @default.
- W2126605271 cites W2169421412 @default.
- W2126605271 doi "https://doi.org/10.1093/bioinformatics/btl365" @default.
- W2126605271 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16845142" @default.
- W2126605271 hasPublicationYear "2006" @default.
- W2126605271 type Work @default.
- W2126605271 sameAs 2126605271 @default.
- W2126605271 citedByCount "60" @default.
- W2126605271 countsByYear W21266052712012 @default.
- W2126605271 countsByYear W21266052712013 @default.
- W2126605271 countsByYear W21266052712014 @default.
- W2126605271 countsByYear W21266052712015 @default.
- W2126605271 countsByYear W21266052712016 @default.
- W2126605271 countsByYear W21266052712017 @default.
- W2126605271 countsByYear W21266052712018 @default.
- W2126605271 countsByYear W21266052712020 @default.
- W2126605271 countsByYear W21266052712021 @default.
- W2126605271 countsByYear W21266052712022 @default.
- W2126605271 countsByYear W21266052712023 @default.
- W2126605271 crossrefType "journal-article" @default.
- W2126605271 hasAuthorship W2126605271A5003083078 @default.
- W2126605271 hasAuthorship W2126605271A5006226110 @default.
- W2126605271 hasAuthorship W2126605271A5025156587 @default.
- W2126605271 hasAuthorship W2126605271A5032222555 @default.
- W2126605271 hasAuthorship W2126605271A5051250765 @default.
- W2126605271 hasAuthorship W2126605271A5061312181 @default.
- W2126605271 hasAuthorship W2126605271A5072780737 @default.
- W2126605271 hasAuthorship W2126605271A5074117254 @default.
- W2126605271 hasAuthorship W2126605271A5078882032 @default.
- W2126605271 hasAuthorship W2126605271A5086038672 @default.
- W2126605271 hasAuthorship W2126605271A5087352430 @default.
- W2126605271 hasAuthorship W2126605271A5090380921 @default.
- W2126605271 hasBestOaLocation W21266052711 @default.
- W2126605271 hasConcept C104317684 @default.
- W2126605271 hasConcept C135763542 @default.
- W2126605271 hasConcept C141231307 @default.
- W2126605271 hasConcept C144024400 @default.
- W2126605271 hasConcept C149923435 @default.
- W2126605271 hasConcept C153209595 @default.
- W2126605271 hasConcept C154945302 @default.
- W2126605271 hasConcept C177580304 @default.
- W2126605271 hasConcept C180754005 @default.
- W2126605271 hasConcept C197077220 @default.
- W2126605271 hasConcept C197754878 @default.
- W2126605271 hasConcept C2776620128 @default.
- W2126605271 hasConcept C2908647359 @default.
- W2126605271 hasConcept C31467283 @default.
- W2126605271 hasConcept C35605836 @default.
- W2126605271 hasConcept C41008148 @default.
- W2126605271 hasConcept C44432683 @default.
- W2126605271 hasConcept C54355233 @default.
- W2126605271 hasConcept C78458016 @default.
- W2126605271 hasConcept C81917197 @default.
- W2126605271 hasConcept C86803240 @default.
- W2126605271 hasConcept C97425143 @default.
- W2126605271 hasConceptScore W2126605271C104317684 @default.
- W2126605271 hasConceptScore W2126605271C135763542 @default.
- W2126605271 hasConceptScore W2126605271C141231307 @default.