A comprehensive whole genome sequence scan for positive selection in southern Africa
A comprehensive whole genome sequence scan for positive selection in southern Africa
批准号:
10732789
负责人:
Caitlin Uren
金额:
$9.74万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-07-21 至 2026-04-30
关键词:
AddressAdmixtureAfricaAfricanAfrican ancestryAreaAsian populationBiologicalBotswanaCatalogsCensusesCholeraClimateCollectionColorDairy ProductsDataData SetDiabetes MellitusDiseaseEnvironmentEuropeanEye ColorFoodFutureGenesGenetic VariationGenomeGeographyGlutenHIVHair ColorHaplotypesHealthHeightHistorical DemographyHomeHumanHuman GenomeIndividualMalariaMentorsMethodsModelingModernizationNamibiaNational Human Genome Research InstituteNative-BornNatural SelectionsPathway interactionsPatternPersonsPhasePhenotypePopulationProbabilityProcessResourcesRoleSample SizeScanningShapesSignal TransductionSkin PigmentationSouth AfricaSouth AfricanSoutheastern AsiaSouthern AfricaStatistical MethodsTestingTrainingTranslational ResearchTuberculosisVariantWorkZambiadesigndisease phenotypedisorder riskgenome sequencinggenome wide association studygenomic datagenomic locushuman diseaseimprovedin silicoinsightmachine learning frameworkmigrationnovelpopulation genetic structurepressurestatisticstraittranslational potentialwhole genome
中文摘要
项目总结
英文摘要
PROJECT SUMMARY
An African origin for modern humans and the vast genetic diversity in the region is irrefutable. Within
Africa, southern Africa is home to the some of the oldest and most diverse extant human populations world-wide.
These populations, the KhoeSan, reside predominantly in the north-western parts of South Africa and throughout
Namibia and Botswana. In previous work (PMID 27474727), I and two of my mentors showed that fine-scale
genetic population structure between these KhoeSan populations reflects ecogeographical boundaries. In
addition to this unique KhoeSan ancestry, populations in southern Africa have been shaped by numerous
migrations from within Africa (e.g. Bantu-speaking peoples) and outside Africa (notably European and Asian
populations). Thus, the patterns of diversity observed in this area is unique with no comparable regions
elsewhere in the world. These southern African populations went on to further adapt to their new environment
which was plagued by disease, resource limitations and harsh climates. The role of positive selection in this
adaption, remains unknown.
Using one of the largest whole genome sequencing dataset collections encompassing numerous
southern African populations, we aim to: 1) scan these datasets for signals of positive selection and 2) evaluate
the functional, biological and potentially translational implications of these signals. This project will be the largest
and most comprehensive single study of natural selection on the African continent. The methods developed in
this study will inform future scans for natural selection in heterogenous, admixed African populations.
Furthermore, the findings will provide insights into how adaptation to the environment has shaped human
genomes and in turn, various phenotypes in this unique part of Africa - these results could be informative to all
populations with African ancestry.
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