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Showing results (971-980 of 1,250) with videos related to

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Nature Genetics|August 26, 2020
Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scaleXihao Li, Zilin Li, Hufeng Zhou, et al.
Brain : a Journal of Neurology|May 5, 2022
Gene-mapping study of extremes of cerebral small vessel disease reveals TRIM47 as a strong candidateAniket Mishra, Cécile Duplaà, Dina Vojinovic, et al.
BMJ (Clinical Research Ed.)|July 27, 2019
Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysisJordi Merino, Marta Guasch-Ferré, Christina Ellervik, et al.
Genome Medicine|March 22, 2025
Rare damaging CCR2 variants are associated with lower lifetime cardiovascular riskMarios K Georgakis, Rainer Malik, Omar El Bounkari, et al.
Blood|June 25, 2015
Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWFJennifer E Huffman, Paul S de Vries, Alanna C Morrison, et al.
Nature Genetics|February 23, 2010
Common variants in KCNN3 are associated with lone atrial fibrillationPatrick T Ellinor, Kathryn L Lunetta, Nicole L Glazer, et al.
JAMA|July 9, 2009
Genetic variants associated with cardiac structure and function: a meta-analysis and replication of genome-wide association dataRamachandran S Vasan, Nicole L Glazer, Janine F Felix, et al.
Journal of Hepatology|September 4, 2020
rs641738C>T near MBOAT7 is associated with liver fat, ALT and fibrosis in NAFLD: A meta-analysisKevin Teo, Kushala W M Abeysekera, Leon Adams, et al.
Nature Communications|October 1, 2025
Polygenic risk score for type 2 diabetes shows context-dependent effects across populationsBoya Guo, Yanwei Cai, Daeeun Kim, et al.
Medrxiv : the Preprint Server for Health Sciences|March 4, 2025
Type 2 diabetes polygenic risk score demonstrates context-dependent effects and associations with type 2 diabetes-related risk factors and complications across diverse populationsBoya Guo, Yanwei Cai, Daeeun Kim, et al.
Pageof 125

Showing results (971-980 of 1,250) with videos related to

Sort By:
Pageof 125
Nature Genetics|August 26, 2020
Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scaleXihao Li, Zilin Li, Hufeng Zhou, et al.
Brain : a Journal of Neurology|May 5, 2022
Gene-mapping study of extremes of cerebral small vessel disease reveals TRIM47 as a strong candidateAniket Mishra, Cécile Duplaà, Dina Vojinovic, et al.
BMJ (Clinical Research Ed.)|July 27, 2019
Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysisJordi Merino, Marta Guasch-Ferré, Christina Ellervik, et al.
Genome Medicine|March 22, 2025
Rare damaging CCR2 variants are associated with lower lifetime cardiovascular riskMarios K Georgakis, Rainer Malik, Omar El Bounkari, et al.
Blood|June 25, 2015
Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWFJennifer E Huffman, Paul S de Vries, Alanna C Morrison, et al.
Nature Genetics|February 23, 2010
Common variants in KCNN3 are associated with lone atrial fibrillationPatrick T Ellinor, Kathryn L Lunetta, Nicole L Glazer, et al.
JAMA|July 9, 2009
Genetic variants associated with cardiac structure and function: a meta-analysis and replication of genome-wide association dataRamachandran S Vasan, Nicole L Glazer, Janine F Felix, et al.
Journal of Hepatology|September 4, 2020
rs641738C>T near MBOAT7 is associated with liver fat, ALT and fibrosis in NAFLD: A meta-analysisKevin Teo, Kushala W M Abeysekera, Leon Adams, et al.
Nature Communications|October 1, 2025
Polygenic risk score for type 2 diabetes shows context-dependent effects across populationsBoya Guo, Yanwei Cai, Daeeun Kim, et al.
Medrxiv : the Preprint Server for Health Sciences|March 4, 2025
Type 2 diabetes polygenic risk score demonstrates context-dependent effects and associations with type 2 diabetes-related risk factors and complications across diverse populationsBoya Guo, Yanwei Cai, Daeeun Kim, et al.
Pageof 125