ArticlePersonalized medicine2009
Genomic and geographic distribution of private SNPs and pathways in human populations.
Article in Personalized medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed, 37 citations in OpenAlex.
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- Detection and Classification of Hard and Soft Sweeps from Unphased Genotypes by Multilocus Genotype Identity.Genetics · 2018Article
- Population Genomics and the Statistical Values of Race: An Interdisciplinary Perspective on the Biological Classification of Human Populations and Implications for Clinical Genetic Epidemiological Research.Frontiers in genetics · 2016Review
- Population-specific common SNPs reflect demographic histories and highlight regions of genomic plasticity with functional relevance.BMC genomics · 2014Article
- Transcriptional analysis of apoptotic cerebellar granule neurons following rescue by gastric inhibitory polypeptide.International journal of molecular sciences · 2014Article
- Impact of constitutional copy number variants on biological pathway evolution.BMC evolutionary biology · 2013Article
- AncestrySNPminer: a bioinformatics tool to retrieve and develop ancestry informative SNP panels.Genomics · 2012Article
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- Population structure analysis using rare and common functional variants.BMC proceedings · 2011Article
- The emergence of human-evolutionary medical genomics.Evolutionary applications · 2011Article
- Genotype-environment interactions and their translational implications.Personalized medicine · 2011Article
- Mapping genes that predict treatment outcome in admixed populations.The pharmacogenomics journal · 2010Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
aimsGeography-based genetic differentials operating on entire biochemical pathways may reflect different adaptive evolutionary processes that separated populations may have undergone. They may also influence treatment outcome for a variety of drugs - an emerging and important area of study. This research article leverages the International HapMap Consortium data to identify pathway components that differ in genotype frequency for four populations: individuals of Northern European descent from the USA (CEU), individuals from West Africa (YRI), Japan (JPT) and China (CHB). MATERIALS #ENTITYSTARTX00026;
methodsBy identifying loci with fixed or large frequency differences (δ = 1) between paired population samples (CEU vs YRI, CEU vs CHB, CEU vs JPT, YRI vs CHB, YRI vs JPT and CHB vs JPT), and reconstructing the physiological functions of genes at these loci, we report a list of pathways affected by natural selection during human evolution.
resultsOf the 3.7 million HapMap SNPs, 463 loci (which mapped to 38 genes) were fixed (δ = 1) in at least one population pair. These private loci included four nonsynonymous coding SNPs: rs4536103 (NEUROG3), rs1385699 (EDA2R), rs11946338 (ARHGAP24) and rs4422842 (CACNA1B). A total of four additional genes demonstrated evidence of recent positive selection: three genes in European subjects (IER5L, NPNT and SESTD1) and a single gene in Asian subjects (EXOC6B). DISCUSSION: Gene ontology and pathway analyses suggest that cellular differentiation, apoptosis and activation of the NF-κB transcription factor vary between populations in genomic regions of fixed (private) SNPs identified in this study. Variability in these pathways may provide important clues into the mechanisms of human adaptation to different environments. An improved understanding of their variability may also help to explain race-specific differences in the treatment outcomes observed for a variety of modern drugs.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.