Detalhe da pesquisa
1.
Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study.
Am J Hum Genet
; 110(10): 1704-1717, 2023 10 05.
Artigo
Inglês
| MEDLINE | ID: mdl-37802043
2.
Whole-exome sequencing study identifies four novel gene loci associated with diabetic kidney disease.
Hum Mol Genet
; 32(6): 1048-1060, 2023 03 06.
Artigo
Inglês
| MEDLINE | ID: mdl-36444934
3.
Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program.
Am J Hum Genet
; 109(5): 857-870, 2022 05 05.
Artigo
Inglês
| MEDLINE | ID: mdl-35385699
4.
A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies.
Nat Methods
; 19(12): 1599-1611, 2022 12.
Artigo
Inglês
| MEDLINE | ID: mdl-36303018
5.
Assessing the contribution of rare genetic variants to phenotypes of chronic obstructive pulmonary disease using whole-genome sequence data.
Hum Mol Genet
; 31(22): 3873-3885, 2022 11 10.
Artigo
Inglês
| MEDLINE | ID: mdl-35766891
6.
Whole-exome sequencing of 14 389 individuals from the ESP and CHARGE consortia identifies novel rare variation associated with hemostatic factors.
Hum Mol Genet
; 31(18): 3120-3132, 2022 09 10.
Artigo
Inglês
| MEDLINE | ID: mdl-35552711
7.
Whole genome sequence analysis of platelet traits in the NHLBI Trans-Omics for Precision Medicine (TOPMed) initiative.
Hum Mol Genet
; 31(3): 347-361, 2022 02 03.
Artigo
Inglês
| MEDLINE | ID: mdl-34553764
8.
Antithrombin, Protein C, and Protein S: Genome and Transcriptome-Wide Association Studies Identify 7 Novel Loci Regulating Plasma Levels.
Arterioscler Thromb Vasc Biol
; 43(7): e254-e269, 2023 07.
Artigo
Inglês
| MEDLINE | ID: mdl-37128921
9.
Proteomic analysis of diabetes genetic risk scores identifies complement C2 and neuropilin-2 as predictors of type 2 diabetes: the Atherosclerosis Risk in Communities (ARIC) Study.
Diabetologia
; 66(1): 105-115, 2023 01.
Artigo
Inglês
| MEDLINE | ID: mdl-36194249
10.
A large-scale transcriptome-wide association study (TWAS) of 10 blood cell phenotypes reveals complexities of TWAS fine-mapping.
Genet Epidemiol
; 46(1): 3-16, 2022 02.
Artigo
Inglês
| MEDLINE | ID: mdl-34779012
11.
American Heart Association's Life's Simple 7: Lifestyle Recommendations, Polygenic Risk, and Lifetime Risk of Coronary Heart Disease.
Circulation
; 145(11): 808-818, 2022 03 15.
Artigo
Inglês
| MEDLINE | ID: mdl-35094551
12.
Monogenic and Polygenic Contributions to QTc Prolongation in the Population.
Circulation
; 145(20): 1524-1533, 2022 05 17.
Artigo
Inglês
| MEDLINE | ID: mdl-35389749
13.
A Genome-wide Association Study Discovers 46 Loci of the Human Metabolome in the Hispanic Community Health Study/Study of Latinos.
Am J Hum Genet
; 107(5): 849-863, 2020 11 05.
Artigo
Inglês
| MEDLINE | ID: mdl-33031748
14.
Association between ABO haplotypes and the risk of venous thrombosis: impact on disease risk estimation.
Blood
; 137(17): 2394-2402, 2021 04 29.
Artigo
Inglês
| MEDLINE | ID: mdl-33512453
15.
Clonal Hematopoiesis Is Associated With Higher Risk of Stroke.
Stroke
; 53(3): 788-797, 2022 03.
Artigo
Inglês
| MEDLINE | ID: mdl-34743536
16.
ACAT: A Fast and Powerful p Value Combination Method for Rare-Variant Analysis in Sequencing Studies.
Am J Hum Genet
; 104(3): 410-421, 2019 03 07.
Artigo
Inglês
| MEDLINE | ID: mdl-30849328
17.
Dynamic Scan Procedure for Detecting Rare-Variant Association Regions in Whole-Genome Sequencing Studies.
Am J Hum Genet
; 104(5): 802-814, 2019 05 02.
Artigo
Inglês
| MEDLINE | ID: mdl-30982610
18.
Impact of Rare and Common Genetic Variants on Diabetes Diagnosis by Hemoglobin A1c in Multi-Ancestry Cohorts: The Trans-Omics for Precision Medicine Program.
Am J Hum Genet
; 105(4): 706-718, 2019 10 03.
Artigo
Inglês
| MEDLINE | ID: mdl-31564435
19.
Efficient Variant Set Mixed Model Association Tests for Continuous and Binary Traits in Large-Scale Whole-Genome Sequencing Studies.
Am J Hum Genet
; 104(2): 260-274, 2019 02 07.
Artigo
Inglês
| MEDLINE | ID: mdl-30639324
20.
GEM: scalable and flexible gene-environment interaction analysis in millions of samples.
Bioinformatics
; 37(20): 3514-3520, 2021 10 25.
Artigo
Inglês
| MEDLINE | ID: mdl-34695175