A powerful approach to sub-phenotype analysis in population-based genetic association studies.

A powerful approach to sub-phenotype analysis in population-based genetic association studies.

The ultimate goal of genome-wide association (GWA) studies is to identify genetic variants contributing effects to complex phenotypes in order to improve our understanding of the biological architecture underlying the trait. One approach to allow us to meet this challenge is to consider more refined...

Bibliográfalaš dieđut
Váldodahkkit:	Morris, A, Lindgren, C, Zeggini, E, Timpson, N, Frayling, T, Hattersley, A, McCarthy, M
Materiálatiipa:	Journal article
Giella:	English
Almmustuhtton:	2010

Geahča maid

Genome-wide association scan allowing for epistasis in type 2 diabetes.
Dahkki: Bell, J, et al.
Almmustuhtton: (2011)

Interrogating type 2 diabetes genome-wide association data using a biological pathway-based approach.
Dahkki: Perry, JR, et al.
Almmustuhtton: (2009)

Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk.
Dahkki: Lango, H, et al.
Almmustuhtton: (2008)

Studies of genome-wide association data support a genetic overlap between type 2 diabetes and prostate cancer
Dahkki: Elliott, K, et al.
Almmustuhtton: (2008)

Stratified analysis of the Wellcome Trust Case Control Consortium scan for type 2 diabetes reveals susceptibility loci that may affect age of diagnosis
Dahkki: Fernandez-Cadenas, I, et al.
Almmustuhtton: (2008)

A common variant in the FTO gene region is associated with BMI in the general population and predisposes to adult and childhood obesity
Dahkki: Lango, H, et al.
Almmustuhtton: (2007)

The fat mass- and obesity-associated locus and dietary intake in children.
Dahkki: Timpson, N, et al.
Almmustuhtton: (2008)

Biological pathway analysis for type 2 diabetes using genome-wide association data
Dahkki: Weedon, M, et al.
Almmustuhtton: (2007)

Adiposity-related heterogeneity in patterns of type 2 diabetes susceptibility observed in genome-wide association data.
Dahkki: Timpson, N, et al.
Almmustuhtton: (2009)

What makes a good genetic association study?
Dahkki: Hattersley, A, et al.
Almmustuhtton: (2005)

What makes a good genetic association study?
Dahkki: Hattersley, A, et al.
Almmustuhtton: (2005)

Common variation in the FTO (fused toes) gene is strongly associated with adiposity measures in the northern finnish birth cohort of 1966
Dahkki: Bennett, A, et al.
Almmustuhtton: (2007)

Exploring the developmental overnutrition hypothesis using parental-offspring associations and FTO as an instrumental variable.
Dahkki: Lawlor, D, et al.
Almmustuhtton: (2008)

Exploring the developmental overnutrition hypothesis using parental-offspring associations and FTO as an instrumental variable
Dahkki: Lawlor, D, et al.
Almmustuhtton: (2008)

Exploring the developmental overnutrition hypothesis using parental-offspring associations and FTO as an instrumental variable
Dahkki: Lawlor, D, et al.
Almmustuhtton: (2008)

Extended analysis of genome-wide scans provides clues about novel common and rare susceptibility loci for type 2 diabetes
Dahkki: Zeggini, E, et al.
Almmustuhtton: (2008)

Large-scale replication typing of modest signals from genome-wide association studies identifies additional type 2 diabetes susceptibility variants in the IGF2BP2 and VEGFA genes
Dahkki: Zeggini, E, et al.
Almmustuhtton: (2007)

Search for low-frequency variants associated with overall and central adiposity
Dahkki: Lindgren, C, et al.
Almmustuhtton: (2009)

Genetic studies of diabetes following the advent of the genome-wide association study: where do we go from here?
Dahkki: Frayling, T, et al.
Almmustuhtton: (2007)

Fine-mapping type 2 diabetes causal variants on chromosome 9p21 in 2000 UK cases and 3000 unselected controls
Dahkki: Morris, A, et al.
Almmustuhtton: (2008)

Genetics of type 2 diabetes.
Dahkki: McCarthy, M, et al.
Almmustuhtton: (2006)

Common variation in the LMNA gene increases susceptibility to type 2 diabetes
Dahkki: Owen, K, et al.
Almmustuhtton: (2006)

First-generation scan of genome-wide association data allowing for epistasis prioritises multiple interacting candidate loci in T2D
Dahkki: Bell, J, et al.
Almmustuhtton: (2008)

Functional variation in VEGF is not associated with type 2 diabetes in a United Kingdom Caucasian population.
Dahkki: Freathy, R, et al.
Almmustuhtton: (2006)

An evaluation of statistical approaches to rare variant analysis in genetic association studies.
Dahkki: Morris, A, et al.
Almmustuhtton: (2010)

TCF7L2: the biggest story in diabetes genetics since HLA?
Dahkki: Zeggini, E, et al.
Almmustuhtton: (2007)

Genome-wide association data highlight an aetiological role for disturbances in cyclin-dependent kinase pathways in type 2 diabetes
Dahkki: Timpson, N, et al.
Almmustuhtton: (2007)

Gene variants influencing measures of inflammation or predisposing to autoimmune and inflammatory diseases are not associated with the risk of type 2 diabetes.
Dahkki: Rafiq, S, et al.
Almmustuhtton: (2008)

Learning from molecular genetics: novel insights arising from the definition of genes for monogenic and type 2 diabetes.
Dahkki: McCarthy, M, et al.
Almmustuhtton: (2008)

A large-scale association analysis of common variation of the HNF1alpha gene with type 2 diabetes in the U.K. Caucasian population.
Dahkki: Weedon, M, et al.
Almmustuhtton: (2005)

Association analysis of 6,736 U.K. subjects provides replication and confirms TCF7L2 as a type 2 diabetes susceptibility gene with a substantial effect on individual risk.
Dahkki: Groves, C, et al.
Almmustuhtton: (2006)

Common variants of the novel type 2 diabetes genes CDKAL1 and HHEX/IDE are associated with decreased pancreatic beta-cell function.
Dahkki: Pascoe, L, et al.
Almmustuhtton: (2007)

Genome-wide association studies in type 2 diabetes.
Dahkki: McCarthy, M, et al.
Almmustuhtton: (2009)

Large-scale studies of the association between variation at the TNF/LTA locus and susceptibility to type 2 diabetes.
Dahkki: Zeggini, E, et al.
Almmustuhtton: (2005)

Genome-wide association scans for Type 2 diabetes: new insights into biology and therapy.
Dahkki: McCarthy, M, et al.
Almmustuhtton: (2007)

Type 2 diabetes risk alleles are associated with reduced size at birth.
Dahkki: Freathy, R, et al.
Almmustuhtton: (2009)

Using imputation to investigate association of low-frequency variants with adiposity in the 1966 Northern Finnish birth cohort
Dahkki: O'Connell, J, et al.
Almmustuhtton: (2010)

Large-scale type 2 diabetes association analysis of low-frequency nonsynonymous coding variants in the HNF4A gene including up to 17,600 individuals
Dahkki: Mohammadi, B, et al.
Almmustuhtton: (2008)

Association studies of insulin receptor substrate 1 gene (IRS1) variants in type 2 diabetes samples enriched for family history and early age of onset.
Dahkki: Zeggini, E, et al.
Almmustuhtton: (2004)

Rapid testing of gene-gene interactions in genome-wide association studies of binary and quantitative phenotypes.
Dahkki: Bhattacharya, K, et al.
Almmustuhtton: (2011)