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Laura J. Scott

Researcher at University of Michigan

Publications -  178
Citations -  60906

Laura J. Scott is an academic researcher from University of Michigan. The author has contributed to research in topics: Genome-wide association study & Type 2 diabetes. The author has an hindex of 78, co-authored 166 publications receiving 53515 citations. Previous affiliations of Laura J. Scott include National Institutes of Health & SUNY Downstate Medical Center.

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A Type 2 Diabetes-Associated Functional Regulatory Variant in a Pancreatic Islet Enhancer at the ADCY5 Locus.

TL;DR: It is demonstrated that type 2 diabetes risk alleles are associated with decreased ADCY5 expression in human islets and candidate variants for regulatory function are examined, and data suggest that rs11708067-A risk allele contributes to type 1 diabetes by disrupting an islet enhancer, which results in reduced ADCy5 expression and impaired insulin secretion.
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A Low-Frequency Inactivating AKT2 Variant Enriched in the Finnish Population Is Associated With Fasting Insulin Levels and Type 2 Diabetes Risk

Alisa K. Manning, +312 more
- 01 Jul 2017 - 
TL;DR: The allelic spectrum for coding variants in AKT2 associated with disorders of glucose homeostasis is extended and bidirectional effects of variants within the pleckstrin homology domain ofAKT2 are demonstrated.
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New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders

Evangelos Evangelou, +114 more
TL;DR: This article conducted a meta-analysis of genome-wide association studies of alcohol consumption from the UK Biobank, the Alcohol Genome Wide Consortium and the Cohorts for Heart and Aging Research in Genomic Epidemiology Plus consortia, collecting data from 480,842 people of European descent to decipher the genetic architecture of alcohol intake.
Posted ContentDOI

Extremely rare variants reveal patterns of germline mutation rate heterogeneity in humans

TL;DR: This work uses ∼36 million singleton variants from 3,560 whole-genome sequences to infer fine-scale patterns of mutation rate heterogeneity and provides the most refined portrait to date of the factors contributing to genome-wide variability of the human germline mutation rate.
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Familiality and diagnostic patterns of subphenotypes in the National Institutes of Mental Health bipolar sample.

TL;DR: Evidence of familiality is found for subphenotypes of bipolar disorder (BP) in sibships from families affected with bipolar I, schizoaffective disorder, bipolar type (SAB), bipolar II (BPII), or recurrent unipolar depression (RUDD).