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Genome-wide association studies in ADHD [PDF]

open access: yesHuman Genetics, 2009
Attention-deficit/hyperactivity disorder, ADHD, is a common and highly heritable neuropsychiatric disorder that is seen in children and adults. Although heritability is estimated at around 76%, it has been hard to find genes underlying the disorder. ADHD is a multifactorial disorder, in which many genes, all with a small effect, are thought to cause ...
Barbara Franke   +4 more
openaire   +5 more sources

Transcriptome-wide association study identified candidate genes associated with gut microbiota

open access: yesGut Pathogens, 2021
Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities.
Chuyu Pan   +12 more
doaj   +1 more source

Genome-wide association studies: a primer [PDF]

open access: yesPsychological Medicine, 2009
There have been nearly 400 genome-wide association studies (GWAS) published since 2005. The GWAS approach has been exceptionally successful in identifying common genetic variants that predispose to a variety of complex human diseases and biochemical and anthropometric traits. Although this approach is relatively new, there are many excellent reviews of
Patrick F. Sullivan   +2 more
openaire   +5 more sources

Common variants in FOXP1 are associated with generalized vitiligo [PDF]

open access: yes, 2010
In a recent genome-wide association study of generalized vitiligo, we identified ten confirmed susceptibility loci. By testing additional loci that showed suggestive association in the genome-wide study, using two replication cohorts of European descent,
A Alkhateeb   +34 more
core   +2 more sources

A Genome-Wide Association Study of Depressive Symptoms [PDF]

open access: yesBiological Psychiatry, 2013
Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms.In this genome-wide association study, we combined the results of 17 population ...
Antonella Mulas   +87 more
openaire   +12 more sources

Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci

open access: yesBreast Cancer Research, 2022
Background Mammographic density (MD) phenotypes, including percent density (PMD), area of dense tissue (DA), and area of non-dense tissue (NDA), are associated with breast cancer risk. Twin studies suggest that MD phenotypes are highly heritable. However,
Hongjie Chen   +56 more
doaj   +1 more source

A genome‐wide association study of the frailty index highlights brain pathways in ageing

open access: yesAging Cell, 2021
Frailty is a common geriatric syndrome and strongly associated with disability, mortality and hospitalization. Frailty is commonly measured using the frailty index (FI), based on the accumulation of a number of health deficits during the life course. The
J. Atkins   +9 more
semanticscholar   +1 more source

Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease, and shows evidence for additional susceptibility genes

open access: yesNature Genetics, 2009
We undertook a two-stage genome-wide association study (GWAS) of Alzheimer's disease (AD) involving over 16,000 individuals, the most powerful AD GWAS to date.
D. Harold   +85 more
semanticscholar   +2 more sources

Transcriptome‐wide association study identifies multiple genes and pathways associated with pancreatic cancer

open access: yesCancer Medicine, 2018
Aim To identify novel candidate genes for pancreatic cancer. Methods We performed a transcriptome‐wide association study (TWAS) analysis of pancreatic cancer (PC).
Liuyun Gong   +5 more
doaj   +1 more source

Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20

open access: yesBMC Genetics, 2018
Background Multiple layers of genetic and epigenetic variability are being simultaneously explored in an increasing number of health studies. We summarize here different approaches applied in the Data Mining and Machine Learning group at the GAW20 to ...
Burcu Darst   +3 more
doaj   +1 more source

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