Britney E. Graham
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The Alzheimer’s Knowledge Base: A Knowledge Graph for Alzheimer Disease Research Open
Background As global populations age and become susceptible to neurodegenerative illnesses, new therapies for Alzheimer disease (AD) are urgently needed. Existing data resources for drug discovery and repurposing fail to capture relationsh…
Predicting risk of Alzheimer’s disease using polygenic risk scores developed for Parkinson’s disease Open
Background and Objectives The two most common neurodegenerative diseases are Alzheimer’s disease (AD) and Parkinson’s disease (PD), both related to age and affect millions of people across the world, especially as life expectancy increases…
The Alzheimer’s Knowledge Base: A Knowledge Graph for Alzheimer Disease Research (Preprint) Open
BACKGROUND As global populations age and become susceptible to neurodegenerative illnesses, new therapies for Alzheimer disease (AD) are urgently needed. Existing data resources for drug discovery and repurposing fail to capture relations…
Estimating Prevalence of Human Traits Among Populations From Polygenic Risk Scores Open
The genetic basis of phenotypic variation across populations has not been well explained for most traits. Several factors may cause disparities, from variation in environments to divergent population genetic structure. We hypothesized that…
Additional file 15 of Estimating prevalence of human traits among populations from polygenic risk scores Open
Additional file 15: Table S1. Lactase persistence full data set. SNP rs number and minor allele are included, as well as the r2 values from the sensitivity analysis. The columns headed with the 1000 Genomes population codes are the allele …
Additional file 14 of Estimating prevalence of human traits among populations from polygenic risk scores Open
Additional file 14: Script used for SNP pruning method.
Detection of complex genetic architecture using two-locus population differentiation: modeling epistasis Open
Recent advances in genetics have increased our understanding of epistasis as important in the genetics of complex phenotypes. However, current analytical methods often cannot detect epistasis, given the multiple testing burden. To address …
View article: Correction: Whole exome sequencing reveals HSPA1L as a genetic risk factor for spontaneous preterm birth
Correction: Whole exome sequencing reveals HSPA1L as a genetic risk factor for spontaneous preterm birth Open
[This corrects the article DOI: 10.1371/journal.pgen.1007394.].
View article: Whole exome sequencing reveals HSPA1L as a genetic risk factor for spontaneous preterm birth
Whole exome sequencing reveals HSPA1L as a genetic risk factor for spontaneous preterm birth Open
Preterm birth is the leading cause of infant mortality, and prematurity is further associated with serious morbidities in later life. Genetic and environmental risk factors play a role in the susceptibility to preterm birth. Despite numero…
Evolutionarily derived networks to inform disease pathways Open
Methods to identify genes or pathways associated with complex diseases are often inadequate to elucidate most risk because they make implicit and oversimplified assumptions about underlying models of disease etiology. These can lead to inc…
Additional file 2: of Evolutionary triangulation: informing genetic association studies with evolutionary evidence Open
Melanoma GWAS hits. Type 2 diabetes mellitus GWAS hits. Multiple sclerosis GWAS hits. (XLSX 54 kb)
Additional file 9: of Evolutionary triangulation: informing genetic association studies with evolutionary evidence Open
PBS analysis using CEU and YRI as the pre-selected populations and other available HapMap III populations as the outlier populations genes associated with diseases that are appropriately distributed between CEU and YRI genes associated wit…