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Hampton L. Leonard

Researcher at National Institutes of Health

Publications -  64
Citations -  2740

Hampton L. Leonard is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Genome-wide association study & Medicine. The author has an hindex of 12, co-authored 39 publications receiving 1215 citations. Previous affiliations of Hampton L. Leonard include German Center for Neurodegenerative Diseases & Brigham and Women's Hospital.

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Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies

Mike A. Nalls, +248 more
- 01 Dec 2019 - 
TL;DR: These data provide the most comprehensive survey of genetic risk within Parkinson's disease to date, providing a biological context for these risk factors, and showing that a considerable genetic component of this disease remains unidentified.
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Parkinson's disease age at onset genome-wide association study: Defining heritability, genetic loci, and α-synuclein mechanisms.

Cornelis Blauwendraat, +54 more
- 01 Jun 2019 - 
TL;DR: The genetic determinants of PD age at onset are largely unknown and increasing evidence supports an extensive and complex genetic contribution to PD.
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Genetic modifiers of risk and age at onset in GBA associated Parkinson's disease and Lewy body dementia

Cornelis Blauwendraat, +74 more
- 01 Jan 2020 - 
TL;DR: The overall Parkinson's disease genetic risk score modifies risk for disease and decreases age at onset in carriers of GBA variants, and common variability at genes implicated in lysosomal function exerts the largest effect on GBA associatedrisk for disease.
Posted ContentDOI

Expanding Parkinson’s disease genetics: novel risk loci, genomic context, causal insights and heritable risk

Mike A. Nalls, +65 more
- 04 Mar 2019 - 
TL;DR: These data provide the most comprehensive understanding of the genetic architecture of PD to date by revealing many additional PD risk loci, providing a biological context for these risk factors, and demonstrating that a considerable genetic component of this disease remains unidentified.
Journal ArticleDOI

A saturated map of common genetic variants associated with human height

Loic Yengo, +617 more
- 10 Jan 2022 - 
TL;DR: In this article , the authors show that common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes.