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The variant call format provides efficient and robust storage of GWAS summary statistics

Genome Biology, 2021-01, Vol.22 (1), p.32-32, Article 32

2021

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Association between genetically proxied PCSK9 inhibition and prostate cancer risk: A Mendelian randomisation study

PLoS medicine, 2023-01, Vol.20 (1), p.e1003988

2023

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Searching for the causal effects of body mass index in over 300 000 participants in UK Biobank, using Mendelian randomization

PLoS genetics, 2019-02, Vol.15 (2), p.e1007951

2019

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The MR-Base platform supports systematic causal inference across the human phenome

eLife, 2018-05, Vol.7

2018

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Systematic identification of genetic influences on methylation across the human life course

Genome Biology, 2016-03, Vol.17 (1), p.61-61, Article 61

2016

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The Effect of Circulating Zinc, Selenium, Copper and Vitamin K1 on COVID-19 Outcomes: A Mendelian Randomization Study

Nutrients, 2022-01, Vol.14 (2), p.233

2022

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Predicting the Functional, Molecular, and Phenotypic Consequences of Amino Acid Substitutions using Hidden Markov Models

Human mutation, 2013-01, Vol.34 (1), p.57-65

2013

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Predicting the functional consequences of cancer-associated amino acid substitutions

Bioinformatics, 2013-06, Vol.29 (12), p.1504-1510

2013

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Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception

Epigenetics & chromatin, 2018-05, Vol.11 (1), p.25-25, Article 25

2018

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A comparison of the genes and genesets identified by GWAS and EWAS of fifteen complex traits

Nature communications, 2022-12, Vol.13 (1), p.7816-7816, Article 7816

2022

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Prediction of driver variants in the cancer genome via machine learning methodologies

Briefings in bioinformatics, 2021-07, Vol.22 (4)

2021

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Using genetic variation to disentangle the complex relationship between food intake and health outcomes

PLoS genetics, 2022-06, Vol.18 (6), p.e1010162

2022

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Constructing an atlas of associations between polygenic scores from across the human phenome and circulating metabolic biomarkers

eLife, 2022-10, Vol.11

2022

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Predicting pathogenicity from non-coding mutations

Nature biomedical engineering, 2023-06, Vol.7 (6), p.709-710

2023

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Prioritizing putative influential genes in cardiovascular disease susceptibility by applying tissue-specific Mendelian randomization

Genome medicine, 2019-01, Vol.11 (1), p.6-15, Article 6

2019

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An integrative approach to predicting the functional effects of small indels in non-coding regions of the human genome

BMC bioinformatics, 2017-10, Vol.18 (1), p.442-8, Article 442

2017

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Incorporating Non-Coding Annotations into Rare Variant Analysis

PloS one, 2016-04, Vol.11 (4), p.e0154181-e0154181

2016

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Epigenome-wide association study of asthma and wheeze in childhood and adolescence

Clinical epigenetics, 2017-10, Vol.9 (1), p.112-112, Article 112

2017

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A genome-wide association study of mitochondrial DNA copy number in two population-based cohorts

Human genomics, 2019-01, Vol.13 (1), p.6-17, Article 6

2019

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Maternal eating disorders affect offspring cord blood DNA methylation: a prospective study

Clinical epigenetics, 2017-10, Vol.9 (1), p.120-120, Article 120

2017

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A Protein Domain and Family Based Approach to Rare Variant Association Analysis

PloS one, 2016-04, Vol.11 (4), p.e0153803-e0153803

2016

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Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data

Nature genetics, 2019-02, Vol.51 (2), p.230-236

2019

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CScape: a tool for predicting oncogenic single-point mutations in the cancer genome

Scientific reports, 2017-09, Vol.7 (1), p.11597-10, Article 11597

2017

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The variant call format provides efficient and robust storage of GWAS summary statistics

Association between genetically proxied PCSK9 inhibition and prostate cancer risk: A Mendelian randomisation study

Searching for the causal effects of body mass index in over 300 000 participants in UK Biobank, using Mendelian randomization

The MR-Base platform supports systematic causal inference across the human phenome

Systematic identification of genetic influences on methylation across the human life course

The Effect of Circulating Zinc, Selenium, Copper and Vitamin K1 on COVID-19 Outcomes: A Mendelian Randomization Study

Predicting the Functional, Molecular, and Phenotypic Consequences of Amino Acid Substitutions using Hidden Markov Models

Predicting the functional consequences of cancer-associated amino acid substitutions

Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception

A comparison of the genes and genesets identified by GWAS and EWAS of fifteen complex traits

Prediction of driver variants in the cancer genome via machine learning methodologies

Using genetic variation to disentangle the complex relationship between food intake and health outcomes

Constructing an atlas of associations between polygenic scores from across the human phenome and circulating metabolic biomarkers

Predicting pathogenicity from non-coding mutations

Prioritizing putative influential genes in cardiovascular disease susceptibility by applying tissue-specific Mendelian randomization

An integrative approach to predicting the functional effects of small indels in non-coding regions of the human genome

A proteome-wide genetic investigation identifies several SARS-CoV-2-exploited host targets of clinical relevance

Incorporating Non-Coding Annotations into Rare Variant Analysis

Epigenome-wide association study of asthma and wheeze in childhood and adolescence

A genome-wide association study of mitochondrial DNA copy number in two population-based cohorts

Maternal eating disorders affect offspring cord blood DNA methylation: a prospective study

A Protein Domain and Family Based Approach to Rare Variant Association Analysis

Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data

CScape: a tool for predicting oncogenic single-point mutations in the cancer genome

The association of C-reactive protein and CRP genotype with coronary heart disease: findings from five studies with 4,610 cases amongst 18,637 participants

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