Leonardo Bottolo

Leonardo Bottolo

University of Cambridge

H-index: 32

Europe-United Kingdom

About Leonardo Bottolo

Leonardo Bottolo, With an exceptional h-index of 32 and a recent h-index of 24 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Bayesian statistics, Causal models, Graphical models.

His recent articles reflect a diverse array of research interests and contributions to the field:

Molecular characterisation of 36 multilocus imprinting disturbance (MLID) patients: a comprehensive approach

The penetrance of rare variants in cardiomyopathy-associated genes: a cross-sectional approach to estimate penetrance for secondary findings

Shared and distinct molecular effects of regulatory genetic variants provide insight into mechanisms of distal enhancer-promoter communication

Multi-response Mendelian randomization: identification of shared and distinct exposures for multimorbidity and multiple related disease outcomes

Accurate measurement of DNA Methylation: challenges and bias correction

ImprintSeq, a novel tool to interrogate DNA methylation at human imprinted regions and diagnose multilocus imprinting disturbance

EPISPOT: an epigenome-driven approach for detecting and interpreting hotspots in molecular QTL studies

Leveraging Genetic Data to Elucidate the Relationship Between COVID‐19 and Ischemic Stroke

Leonardo Bottolo Information

University

Position

Reader in Statistics for Biomedicine Dept of Medical Genetics

Citations(all)

17852

Citations(since 2020)

3792

Cited By

15380

hIndex(all)

32

hIndex(since 2020)

24

i10Index(all)

47

i10Index(since 2020)

41

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Leonardo Bottolo Skills & Research Interests

Bayesian statistics

Causal models

Graphical models

Top articles of Leonardo Bottolo

Title

Journal

Author(s)

Publication Date

Molecular characterisation of 36 multilocus imprinting disturbance (MLID) patients: a comprehensive approach

Clinical epigenetics

Larissa Bilo

Eguzkine Ochoa

Sunwoo Lee

Daniela Dey

Ingo Kurth

...

2023/3/1

The penetrance of rare variants in cardiomyopathy-associated genes: a cross-sectional approach to estimate penetrance for secondary findings

The American Journal of Human Genetics

Kathryn A McGurk

Xiaolei Zhang

Pantazis Theotokis

Kate Thomson

Andrew Harper

...

2023/9/7

Shared and distinct molecular effects of regulatory genetic variants provide insight into mechanisms of distal enhancer-promoter communication

bioRxiv

Helen Ray-Jones

Zeji Song

Alexander Haglund

Pavel Artemov

Monica Della Rosa

...

2023/8/7

Multi-response Mendelian randomization: identification of shared and distinct exposures for multimorbidity and multiple related disease outcomes

The American Journal of Human Genetics

Verena Zuber

Alex Lewin

Michael G Levin

Alexander Haglund

Soumaya Ben-Aicha

...

2023/7/6

Accurate measurement of DNA Methylation: challenges and bias correction

Eguzkine Ochoa

Verena Zuber

Leonardo Bottolo

2022/5/4

ImprintSeq, a novel tool to interrogate DNA methylation at human imprinted regions and diagnose multilocus imprinting disturbance

Genetics in Medicine

Eguzkine Ochoa

Sunwoo Lee

Benoit Lan-Leung

Renuka P Dias

Ken K Ong

...

2022/2/1

EPISPOT: an epigenome-driven approach for detecting and interpreting hotspots in molecular QTL studies

The American Journal of Human Genetics

Hélène Ruffieux

Benjamin P Fairfax

Isar Nassiri

Elena Vigorito

Chris Wallace

...

2021/6/3

Leveraging Genetic Data to Elucidate the Relationship Between COVID‐19 and Ischemic Stroke

Journal of the American Heart Association

Verena Zuber

Alan Cameron

Evangelos P Myserlis

Leonardo Bottolo

Israel Fernandez‐Cadenas

...

2021/11/16

High-throughput multivariable Mendelian randomization analysis prioritizes apolipoprotein B as key lipid risk factor for coronary artery disease

International journal of epidemiology

Verena Zuber

Dipender Gill

Mika Ala-Korpela

Claudia Langenberg

Adam Butterworth

...

2021/6/1

Bayesian Variable Selection for Gaussian copula regression models

Journal of Computational and Graphical Statistics

Angelos Alexopoulos

Leonardo Bottolo

2021/9/16

BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression

arXiv preprint arXiv:2104.14008

Zhi Zhao

Marco Banterle

Leonardo Bottolo

Sylvia Richardson

Alex Lewin

...

2021/4/28

Prioritizing the role of major lipoproteins and subfractions as risk factors for peripheral artery disease

Circulation

Michael G Levin

Verena Zuber

Venexia M Walker

Derek Klarin

Julie Lynch

...

2021/8/3

Disease-specific variant pathogenicity prediction significantly improves variant interpretation in inherited cardiac conditions

Genetics in Medicine

Xiaolei Zhang

Roddy Walsh

Nicola Whiffin

Rachel Buchan

William Midwinter

...

2021/1

A computationally efficient Bayesian seemingly unrelated regressions model for high-dimensional quantitative trait loci discovery

Journal of the Royal Statistical Society Series C: Applied Statistics

Leonardo Bottolo

Marco Banterle

Sylvia Richardson

Mika Ala-Korpela

Marjo-Riitta Järvelin

...

2021/8

A trans locus causes a ribosomopathy in hypertrophic hearts that affects mRNA translation in a protein length-dependent fashion

Genome biology

Franziska Witte

Jorge Ruiz-Orera

Camilla Ciolli Mattioli

Susanne Blachut

Eleonora Adami

...

2021/6/28

Variable Selection for Hierarchically-Related Outcomes: Models and Algorithms

Hélène Ruffieux

Leonardo Bottolo

Sylvia Richardson

2021/12/24

Leptin-mediated changes in the human metabolome

The Journal of Clinical Endocrinology & Metabolism

Katherine Lawler

Isabel Huang-Doran

Takuhiro Sonoyama

Tinh-Hai Collet

Julia M Keogh

...

2020/8

A global-local approach for detecting hotspots in multiple-response regression

The annals of applied statistics

Hélène Ruffieux

Anthony C Davison

Jörg Hager

Jamie Inshaw

Benjamin P Fairfax

...

2020/6

Metabolic effects of bezafibrate in mitochondrial disease

EMBO molecular medicine

Hannah Steele

Aurora Gomez‐Duran

Angela Pyle

Sila Hopton

Jane Newman

...

2020/3/6

Sphingolipid, fatty acid and phospholipid metabolites are associated with disease severity and mTOR inhibition in lymphangioleiomyomatosis

Thorax

Leonardo Bottolo

Suzanne Miller

Simon R Johnson

2020/8/1

See List of Professors in Leonardo Bottolo University(University of Cambridge)