Patrick Thomas Ellinor, M.D.,Ph.D.
Co-Author
This page shows the publications co-authored by Patrick Ellinor and Aniruddh Patel.
Connection Strength
0.856
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Lp(a) (Lipoprotein[a]) Concentrations and Incident Atherosclerotic Cardiovascular Disease: New Insights From a Large National Biobank. Arterioscler Thromb Vasc Biol. 2021 01; 41(1):465-474.
Score: 0.226
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Association of Rare Pathogenic DNA Variants for Familial Hypercholesterolemia, Hereditary Breast and Ovarian Cancer Syndrome, and Lynch Syndrome With Disease Risk in Adults According to Family History. JAMA Netw Open. 2020 04 01; 3(4):e203959.
Score: 0.217
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Association of the Interaction Between Familial Hypercholesterolemia Variants and Adherence to a Healthy Lifestyle With Risk of Coronary Artery Disease. JAMA Netw Open. 2022 Mar 01; 5(3):e222687.
Score: 0.062
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Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction. Patterns (N Y). 2021 Dec 10; 2(12):100364.
Score: 0.060
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Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions. Nat Commun. 2020 08 20; 11(1):3635.
Score: 0.056
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Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2019 Jul; 51(7):1191-1192.
Score: 0.051
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Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018 05; 50(5):765-766.
Score: 0.047
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Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018 05; 50(5):766-767.
Score: 0.047
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Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018 01; 50(1):26-41.
Score: 0.046
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Rare and low-frequency coding variants alter human adult height. Nature. 2017 02 09; 542(7640):186-190.
Score: 0.044
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.