ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2008
Family-based samples can play an important role in genetic association studies.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Combined family-based association and linkage analyses in families affected by attention-deficit hyperactivity disorder.Human genetics · 2026Pooled it
- Family-based association analyses of imputed genotypes reveal genome-wide significant association of Alzheimer's disease with OSBPL6, PTPRG, and PDCL3.Molecular psychiatry · 2016Pooled it
- IL21R and PTH may underlie variation of femoral neck bone mineral density as revealed by a genome-wide association study.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2010Pooled it
- Gene-based association tests in family samples using GWAS summary statistics.Genetic epidemiology · 2024Article
- Theory of mind in schizophrenia through a clinical liability approach: a sib-pair study.Frontiers in psychology · 2024Article
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- Design of an allele-specific PCR assay to genotype the rs12255372 SNP in a pilot study of association between common TCF7L2 polymorphisms and type 2 diabetes in Venezuelans.Archives of endocrinology and metabolism · 2015Article
- Assessing interactions of two loci (rs4242382 and rs10486567) in familial prostate cancer: statistical evaluation of epistasis.PloS one · 2014Article
- Dopaminergic gene polymorphisms and cognitive function in a north Indian schizophrenia cohort.Journal of psychiatric research · 2013Article
- Genome-wide investigation of gene-environment interactions in colorectal cancer.Human genetics · 2013Article
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- Confirmation of association between multiple sclerosis and CYP27B1.European journal of human genetics : EJHG · 2010Article
- Genomic landscape of positive natural selection in Northern European populations.European journal of human genetics : EJHG · 2010Article
- Fine-mapping and family-based association analyses of prostate cancer risk variants at Xp11.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2009Article
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Authors and funding
10 authors at 6 institutions in 3 countries.
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Abstract
Over the past 2 decades, DNA samples from thousands of families have been collected and genotyped for linkage studies of common complex diseases, such as type 2 diabetes, asthma, and prostate cancer. Unfortunately, little success has been achieved in identifying genetic susceptibility risk factors through these considerable efforts. However, significant success in identifying common disease risk-associated variants has been recently achieved from genome-wide association studies using unrelated case-control samples. These genome-wide association studies are typically done using population-based cases and controls that are ascertained irrespective of their family history for the disease of interest. Few genetic association studies have taken full advantage of the considerable resources that are available from the linkage-based family collections despite evidence showing cases that have a positive family history of disease are more likely to carry common genetic variants associated with disease susceptibility. Herein, we argue that population stratification is still a concern in case-control genetic association studies, despite the development of analytic methods designed to account for this source of confounding, for a subset of single nucleotide polymorphisms in the genome, most notably those single nucleotide polymorphisms in regions involved with natural selection. We note that current analytic approaches designed to address the issue of population stratification in case-control studies cannot definitively distinguish between true and false associations, and we argue that family-based samples can still serve an invaluable role in following up findings from case-control studies.
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