ArticleScientific reports2019
Improved power and precision with whole genome sequencing data in genome-wide association studies of inflammatory biomarkers.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pharmacogenomic studies of fertility outcomes in pediatric cancer survivors - A systematic review.Clinical and translational science · 2024Pooled it
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- Integrative genomic analysis reveals shared loci for reproduction and production traits in Yorkshire pigs.BMC genomics · 2025Article
- Semi-supervised machine learning method for predicting homogeneous ancestry groups to assess Hardy-Weinberg equilibrium in diverse whole-genome sequencing studies.American journal of human genetics · 2024Article
- Mendelian randomization analysis using multiple biomarkers of an underlying common exposure.Biostatistics (Oxford, England) · 2024Article
- GWAS advancements to investigate disease associations and biological mechanisms.Clinical and translational discovery · 2024Article
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- Alpha-1-antitrypsin antagonizes COVID-19: a review of the epidemiology, molecular mechanisms, and clinical evidence.Biochemical Society transactions · 2023Review
- Skeletal muscle omics signatures in cancer cachexia: perspectives and opportunities.Journal of the National Cancer Institute. Monographs · 2023Article
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- Sorghum Association Panel whole-genome sequencing establishes cornerstone resource for dissecting genomic diversity.The Plant journal : for cell and molecular biology · 2022Article
- Contribution of rare whole-genome sequencing variants to plasma protein levels and the missing heritability.Nature communications · 2022Article
- Graphene-Based Biosensors for Molecular Chronic Inflammatory Disease Biomarker Detection.Biosensors · 2022Review
- Proteome-wide Mendelian randomization identifies causal links between blood proteins and severe COVID-19.PLoS genetics · 2022Article
- A functionalClinical kidney journal · 2022Article
- Genetic Variation and Mendelian Randomization Approaches.Advances in experimental medicine and biology · 2022Article
- Using population-specific add-on polymorphisms to improve genotype imputation in underrepresented populations.PLoS computational biology · 2022Article
- Imputation to whole-genome sequence and its use in genome-wide association studies for pork colour traits in crossbred and purebred pigs.Frontiers in genetics · 2022Article
- The more data, the better? Demystifying deletion-based methods in linear regression with missing data.Statistics and its interface · 2022Article
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7 authors.
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Abstract
Genome-wide association studies (GWAS) have identified associations between thousands of common genetic variants and human traits. However, common variants usually explain a limited fraction of the heritability of a trait. A powerful resource for identifying trait-associated variants is whole genome sequencing (WGS) data in cohorts comprised of families or individuals from a limited geographical area. To evaluate the power of WGS compared to imputations, we performed GWAS on WGS data for 72 inflammatory biomarkers, in a kinship-structured cohort. When using WGS data, we identified 18 novel associations that were not detected when analyzing the same biomarkers with genotyped or imputed SNPs. Five of the novel top variants were low frequency variants with a minor allele frequency (MAF) of <5%. Our results suggest that, even when applying a GWAS approach, we gain power and precision using WGS data, presumably due to more accurate determination of genotypes. The lack of a comparable dataset for replication of our results is a limitation in our study. However, this further highlights that there is a need for more genetic epidemiological studies based on WGS data.
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