ArticleBioinformatics (Oxford, England)2010
Interrogating local population structure for fine mapping in genome-wide association studies.
Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed, 72 citations in OpenAlex.
- The interplay between externalizing disorders polygenic risk scores and contextual factors on the development of marijuana use disorders.Drug and alcohol dependence · 2018Trial
- Genome- and exome-wide association study of serum lipoprotein (a) in the Jackson Heart Study.Journal of human genetics · 2015Trial
- Strategies in Global Ancestry and Local Ancestry Inference.Current protocols · 2026Article
- From individuals to ancestries: Towards attributing trait variation to haplotypes.PLoS genetics · 2025Article
- SURFBAT: a surrogate family based association test building on large imputation reference panels.G3 (Bethesda, Md.) · 2025Article
- Additional impact of genetic ancestry over race/ethnicity to prevalence of KRAS mutations and allele-specific subtypes in non-small cell lung cancer.HGG advances · 2024Article
- Improved multi-ancestry fine-mapping identifiesmedRxiv : the preprint server for health sciences · 2024Article
- Strategies for the Genomic Analysis of Admixed Populations.Annual review of biomedical data science · 2023Review
- Impact of cross-ancestry genetic architecture on GWASs in admixed populations.American journal of human genetics · 2023Article
- Impact of cross-ancestry genetic architecture on GWAS in admixed populations.bioRxiv : the preprint server for biology · 2023Article
- Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx.Genome biology · 2020Article
- The contribution of rare genetic variants to the pathogenesis of polycystic ovary syndrome.Current opinion in endocrine and metabolic research · 2020Article
- The impact of disregarding family structure on genome-wide association analysis of complex diseases in cohorts with simple pedigrees.Journal of applied genetics · 2020Article
- Local Ancestry Inference in Large Pedigrees.Scientific reports · 2020Article
- On Using Local Ancestry to Characterize the Genetic Architecture of Human Traits: Genetic Regulation of Gene Expression in Multiethnic or Admixed Populations.American journal of human genetics · 2019Article
- Identifying Rare Variant Associations in Admixed Populations.Scientific reports · 2019Article
- A robust and powerful two-step testing procedure for local ancestry adjusted allelic association analysis in admixed populations.Genetic epidemiology · 2018Article
- Admixture Mapping of Subclinical Atherosclerosis and Subsequent Clinical Events Among African Americans in 2 Large Cohort Studies.Circulation. Cardiovascular genetics · 2017Article
- Genome-wide survey in African Americans demonstrates potential epistasis of fitness in the human genome.Genetic epidemiology · 2017Article
- Detecting Multiethnic Rare Variants.Methods in molecular biology (Clifton, N.J.) · 2017Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
motivationAdjustment for population structure is necessary to avoid bias in genetic association studies of susceptibility variants for complex diseases. Population structure may differ from one genomic region to another due to the variability of individual ancestry associated with migration, random genetic drift or natural selection. Current association methods for correcting population stratification usually involve adjustment of global ancestry between study subjects.
resultsWe suggest interrogating local population structure for fine mapping to more accurately locate true casual genes by better adjusting the confounding effect due to local ancestry. By extensive simulations on genome-wide datasets, we show that adjusting global ancestry may lead to false positives when local population structure is an important confounding factor. In contrast, adjusting local ancestry can effectively prevent false positives due to local population structure and thus can improve fine mapping for disease gene localization. We applied the local and global adjustments to the analysis of datasets from three genome-wide association studies, including European Americans, African Americans and Nigerians. Both European Americans and African Americans demonstrate greater variability in local ancestry than Nigerians. Adjusting local ancestry successfully eliminated the known spurious association between SNPs in the LCT gene and height due to the population structure existed in European Americans. CONTACT: xiaofeng.zhu@case.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.