Author

Leslie A. Lange

University of Colorado Anschutz

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

Click to filter author papers

Genetics· 7 Genetic & Genomic Medicine· 4 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 12 Approach:statistical model· 12 Research Focus:GWAS / association mapping· 6 Assay:GWAS summary statistics· 4 Research Focus:differential expression· 3 Research Focus:fine-mapping· 3 Assay:whole-genome sequencing· 3 Research Focus:benchmarking· 2

Frequent Co-Authors

Adolfo CorreaiD· 5 shared Jennifer A. BrodyiD· 5 shared Jerome I. RotteriD· 5 shared Stephen S. RichiD· 5 shared Bruce M. PsatyiD· 4 shared Charles L KooperbergiD· 4 shared Marguerite R. IrviniD· 4 shared Myriam FornageiD· 4 shared

Activity by Year

2018-2025 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

5 shared papersGenetics

Adolfo CorreaORCID

Mutual co-authors in cluster

Author profile →

12 papers

Recent·Most cited

Human Plasma Proteomic Profile of Clonal Hematopoiesis

Zhi Yu, Amélie Vromman, Ngoc Quynh Nguyen, Art Schuermans, Linke Li, Thiago Rentz, Tetsushi Nakao, Shamsudheen Karuthedath Vellarikkal, Md Mesbah Uddin, Abhishek Niroula, Gabriel Kenneth Griffin, Michael C. Honigberg, Amy Erica Lin, Christopher James Gibson, Daniel H. Katz, , Pradeep Natarajan

The paper identifies plasma proteins associated with clonal hematopoiesis and links them to cardiovascular disease through proteomic and genetic analyses.

Nature Communications · Nov 27, 2025Peer-reviewedGenetics

Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus

Soo Heon Kwak, Ryan B. Hernandez-Cancela, DANIEL A. DICORPO, David E. Condon, Jordi Merino, Peitao Wu, Jennifer A. Brody, Jie Yao, Xiuqing Guo, Fariba Ahmadizar, Mariah Meyer, Murat Sincan, Josep Maria Mercader, Sujin Lee, Jeffrey Haessler, , James B. Meigs

This paper conducts a multi-ancestry time-to-event GWAS to identify genetic variants associated with incident cardiovascular disease in people with type 2 diabetes, finding three novel loci and confirming known CAD variants.

Diabetes Care · Apr 23, 2024Peer-reviewedGenetic & Genomic Medicine

Strong protective effect of the APOL1 p.N264K variant against G2-associated FSGS and kidney disease

Yask Gupta, David J. Friedman, Michelle T. McNulty, Atlas Khan, Brandon M. Lane, Chen Wang, Juntao Ke, Gina Ying Jin, Benjamin Wooden, Andrea L. Uscinski Knob, Tze Yin Lim, Gerald B. Appel, Kinsie Huggins, Lili Liu, Adele Mitrotti, , Simone Sanna‐Cherchi

The paper shows the APOL1 p.N264K variant reduces the risk of FSGS and kidney disease in individuals with G2 APOL1 risk alleles.

Nature Communications · Nov 30, 2023Peer-reviewedGenetic & Genomic Medicine

Causal effects on complex traits are similar across segments of different continental ancestries within admixed individuals

Kangcheng Hou, Yi Ding, Ziqi Xu, Yue Wu, Arjun Bhattacharya, Rachel Mester, Gillian M. Belbin, David V. Conti, Burcu F. Darst, Myriam Fornage, Christopher R. Gignoux, Xiuqing Guo, Christopher A Haiman, Eimear E. Kenny, Michelle Kim, , Bogdan Paşaniuc

The paper quantifies similarity in causal effects across local ancestries in admixed individuals and finds high genetic correlation (radmix=0.95) within individuals.

medRxiv · Aug 16, 2022 · PreprintGenetic & Genomic Medicine

Rare coding variants in 35 genes associate with circulating lipid levels: a multi-ancestry analysis of 170,000 exomes

George Hindy, Peter Dornbos, Mark D. Chaffin, Dajiang J. Liu, Minxian Wang, Margaret Sunitha Selvaraj, David Zhang, Joseph Park, Carlos Alberto Aguilar-Salinas, Lucinda Fulton, Diego Ardissino, Donna K. Arnett, Stella W. Aslibekyan, Gil Atzmon, Christie Mitchell Ballantyne, , Ruth J. F. Loos

This study identifies 35 genes associated with circulating lipid levels using rare coding variants from 170,000 exomes across multiple ancestries.

The American Journal of Human Genetics · Dec 20, 2021Peer-reviewedGenetics

HBA Copy Number and Kidney Disease Risk among Black Americans: a Longitudinal Cohort Study

A. Parker Ruhl, Neal Jeffries, Yu Yang, Rakhi P. Naik, Amit Patki, Lydia H. Pecker, Bryan T. Mott, Neil A. Zakai, Cheryl A. Winkler, Jeffrey B. Kopp, Leslie A. Lange, Marguerite R. Irvin, Orlando M. Gutierrez, Mary Cushman, Hans C. Ackerman

This study examines the association between HBA copy number and kidney disease risk in Black Americans, finding higher HBA copy number linked to increased CKD prevalence and ESKD incidence.

Journal of the American Society of Nephrology · Dec 14, 2021Peer-reviewedGenetic & Genomic Medicine

Presence and Transmission of Mitochondrial Heteroplasmic Mutations in Human Populations of European and African Ancestry

Chunyu Liu, Jessica L. Fetterman, Yong Qian, Xianbang Sun, Kaiyu Yan, Thomas Blackwell, Achilleas Pitsillides, Brian E. Cade, Heming Wang, Laura M. Raffield, Leslie A. Lange, Pramod Anugu, Gonçalo Abecasis, L. Adrienne Cupples, Susan S Redline, , Daniel A Levy

The paper examines the concordance and characteristics of mitochondrial heteroplasmic mutations in maternal pairs of European and African ancestry, finding higher concordance in close relatives and associations with age and nuclear genome regions.

Mitochondrion · Jul 21, 2021Peer-reviewedGenetics

Genetic analysis of mitochondrial DNA copy number and associated traits identifies loci implicated in nucleotide metabolism, platelet activation, and megakaryocyte proliferation, and reveals a causal association of mitochondrial function with mortality

Ryan J. Longchamps, Stephanie Y. Yang, Christina A. Castellani, Wen Shi, John Lane, Megan L. Grove, T.M. Bartz, Chloé Sarnowski, Kimberley Burrows, Anna L. Guyatt, Tom R. Gaunt, Tim Kacprowski, Jingyun Yang, Philip L. De Jager, Lei Yu, , Dan E. Arking

This study identifies 100 loci associated with mitochondrial DNA copy number and finds causal links between mitochondrial function and mortality.

bioRxiv · Jan 25, 2021 · PreprintGenetics

find-tfbs: a tool to identify functional non-coding variants associated with complex human traits using open chromatin maps and phased whole-genome sequences

Sébastian Méric de Bellefon, Florian Thibord, Paul Livermore Auer, John Blangero, Zeynep Coban‐Akdemir, James S. Floyd, Myriam Fornage, Jill M. Johnsen, Leslie A. Lange, Joshua P. Lewis, Rasika A. Mathias, Caitlin McHugh, Jee‐Young Moon, Alex P. Reiner, Adrienne M. Stilp, Guillaume Lettre

bioRxiv · Nov 23, 2020 · PreprintGenomics

Trans-ethnic and ancestry-specific blood-cell genetics in 746,667 individuals from 5 global populations

Ming‐Huei Chen, Laura M. Raffield, Abdou Mousas, Saori Sakaue, Jennifer E. Huffman, Arden Moscati, Bhavi Trivedi, Tao Jiang, Parsa Akbari, Dragana Vuckovic, Erik L. Bao, Xue Yun Zhong, Regina Manansala, Véronique Laplante, Minhui Chen, , Ruth J. F. Loos

This study identifies 5,552 blood-cell trait-variant associations across 746,667 individuals from 5 global populations, including 71 novel loci and ancestry-specific variants not found in European ancestry populations.

Cell · Sep 1, 2020Peer-reviewedGenetics

The Trans-Ancestral Genomic Architecture of Glycaemic Traits

Ji Chen, Cassandra Nichole Spracklen, Gaëlle Marenne, Arushi Varshney, Laura J. Corbin, Jian’an Luan, Sara M. Willems, Ying Wu, Xiaoshuai Zhang, Momoko Horikoshi, Thibaud Boutin, Reedik Mägi, Johannes Waage, Achilleas Pitsillides, Ruifang Li‐Gao, , Michael H Preuss

This study identifies 242 genetic loci for glycaemic traits using trans-ancestry meta-analysis, finding 99 novel loci and improved fine-mapping resolution compared to single-ancestry analyses.

bioRxiv · Jul 23, 2020 · PreprintGenetics

Refining The Accuracy Of Validated Target Identification Through Coding Variant Fine-Mapping In Type 2 Diabetes

Anubha Mahajan, Jennifer Wessel, Sara M. Willems, Wei Zhao, Neil R. Robertson, Audrey Y. Chu, Wei Gan, Hidetoshi Kitajima, Daniel Taliun, Nigel William Rayner, Xiuqing Guo, Yingchang Lu, Man Li, Richard A. Jensen, Yao Hu, , Jun Liu

This study identifies 16 causal coding variants in type 2 diabetes using fine-mapping and shows that one third of signals are false leads.

Nature Genetics · Apr 1, 2018Peer-reviewedGenetics