Michael Boehnke

University of Michigan

H-index: 167

North America-United States

Description

Michael Boehnke, With an exceptional h-index of 167 and a recent h-index of 120 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Statistical and computational human genetics and genomics, complex traits, type 2 diabetes and related traits.

His recent articles reflect a diverse array of research interests and contributions to the field:

Genome-wide characterization of circulating metabolic biomarkers

Genomic and proteomic evidence for hormonal and metabolic foundations of polycystic ovary syndrome

Integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits.

Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits

Fine-mapping genomic loci refines bipolar disorder risk genes

Prioritization of Kidney Cell Types Highlights Myofibroblast Cells in Regulating Human Blood Pressure

2023 ASHG Leadership Award: Nancy Cox

Loci for insulin processing and secretion provide insight into type 2 diabetes risk

Professor Information

University	University of Michigan
Position	Professor of Biostatistics
Citations(all)	173396
Citations(since 2020)	75276
Cited By	146645
hIndex(all)	167
hIndex(since 2020)	120
i10Index(all)	441
i10Index(since 2020)	312
Email	Access Email
University Profile Page	University of Michigan

Research & Interests List

Statistical and computational human genetics and genomics

complex traits

type 2 diabetes and related traits

Top articles of Michael Boehnke

Genome-wide characterization of circulating metabolic biomarkers

Genome-wide association analyses using high-throughput metabolomics platforms have led to novel insights into the biology of human metabolism–. This detailed knowledge of the genetic determinants of systemic metabolism has been pivotal for uncovering how genetic pathways influence biological mechanisms and complex diseases–. Here we present a genome-wide association study of 233 circulating metabolic traits quantified by nuclear magnetic resonance spectroscopy in up to 136,016 participants from 33 predominantly population-based cohorts. We discover over 400 independent loci and assign likely causal genes at two-thirds of these using detailed manual curation of highly plausible biological candidates. We highlight the importance of sample- and participant characteristics, such as fasting status and sample type, that can have significant impact on genetic associations, revealing direct and indirect associations on glucose and phenylalanine. We use detailed metabolic profiling of lipoprotein- and lipid-associated variants to better characterize how known lipid loci and novel loci affect lipoprotein metabolism at a granular level. We demonstrate the translational utility of comprehensively phenotyped molecular data, characterizing for the first time the metabolic associations of an understudied phenotype, intrahepatic cholestasis of pregnancy. Finally, we observe substantial genetic pleiotropy for multiple metabolic pathways and illustrate the importance of careful instrument selection in Mendelian randomization analysis, revealing a putative causal relationship between acetoacetate and hypertension. Our publicly available results …

Authors

Minna K Karjalainen,Savita Karthikeyan,Clare Oliver-Williams,Eeva Sliz,Elias Allara,Praveen Surendran,Weihua Zhang,Pekka Jousilahti,Kati Kristiansson,Veikko Salomaa,Matt Goodwin,David A Hughes,Michael Boehnke,Lilian Fernandes Silva,Xianyong Yin,Anubha Mahajan,Matt J Neville,Natalie R van Zuydam,Renée de Mutsert,Ruifang Li-Gao,Dennis O Mook-Kanamori,Ayse Demirkan,Jun Liu,Raymond Noordam,Stella Trompet,Zhengming Chen,Christiana Kartsonaki,Liming Li,Kuang Lin,Fiona A Hagenbeek,Jouke Jan Hottenga,René Pool,M Arfan Ikram,Joyce van Meurs,Toomas Haller,Yuri Milaneschi,Mika Kähönen,Pashupati P Mishra,Peter K Joshi,Erin Macdonald-Dunlop,Massimo Mangino,Jonas Zierer,Ilhan E Acar,Carel B Hoyng,Yara TE Lechanteur,Lude Franke,Alexander Kurilshikov,Alexandra Zhernakova,Marian Beekman,Erik B van den Akker,Ivana Kolcic,Ozren Polasek,Igor Rudan,Christian Gieger,Melanie Waldenberger,Folkert W Asselbergs,China Kadoorie Biobank Collaborative Group,Estonian Biobank Research Team,FinnGen Consortium,Caroline Hayward,Jingyuan Fu,Anneke I den Hollander,Cristina Menni,Tim D Spector,James F Wilson,Terho Lehtimäki,Olli T Raitakari,Brenda WJH Penninx,Tonu Esko,Robin G Walters,J Wouter Jukema,Naveed Sattar,Mohsen Ghanbari,Ko Willems van Dijk,Fredrik Karpe,Mark I McCarthy,Markku Laakso,Marjo-Riitta Järvelin,Nicholas J Timpson,Markus Perola,Jaspal S Kooner,John C Chambers,Cornelia van Duijn,P Eline Slagboom,Dorret I Boomsma,John Danesh,Mika Ala-Korpela,Adam S Butterworth,Johannes Kettunen

Journal

medRxiv

Published Date

2022/10/24

Genomic and proteomic evidence for hormonal and metabolic foundations of polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) and its underlying features remain poorly understood. In this genetic and proteomic study, we expand the number of genetic loci from 19 to 29, and identify 31 associated plasma proteins. Many risk-increasing loci were associated with later age at menopause, underscoring the reproductive longevity related to a larger functional ovarian reserve. Hormonal regulation in the aetiology of this condition, through metabolic and reproductive features, was emphasised. The proteomic analysis highlighted perturbations of metabolically-related biology that are typical in women with PCOS. A PCOS polygenic risk score was associated with adverse cardio-metabolic outcomes, with differing contributions of testosterone and BMI in women and men. Finally, while oligo- and anovulatory infertility are characteristic features of PCOS, we observed no impact of PCOS susceptibility on childlessness. We suggest that PCOS susceptibility confers balanced pleiotropic influences on fertility in women, and life-long adverse metabolic consequences in both sexes.

Authors

Loes ME Moolhuijsen,Jia Zhu,Benjamin H Mullin,Natalia Pujol-Gualdo,KyEra V Actkins,Jasmine A Mack,Hridya Rao,Bhavi Trivedi,Katherine A Kentistou,Yajie Zhao,David Westergard,Jaakko S Tyrmi,Gudmar Thorleifsson,Yanfei Zhang,Laura Wittemans,Amber DeVries,Kelly Brewer,Ryan Sisk,Rebecca Danning,Michael H Preuss,Michelle R Jones,Katherine S Ruth,Marianne Andersen,Ricardo Azziz,Karina Banasik,Michael Boehnke,Linda Broer,Soren Brunak,Yee-Ming Chan,Daniel I Chasman,Mark Daly,David A Ehrmann,Bart C Fauser,Lars G Fritsche,M Geoffrey Hayes,Chunyan He,Hongyan Huang,Irina Kowalska,Peter Kraft,Richard S Legro,Nan Lin,Ruth J Loos,Yvonne V Louwers,Reedik Magi,Mark I McCarthy,Laure Morin-Papunen,Jean V Morrison,Cynthia Morton,Girish N Nadkarni,Benjamin M Neale,Henriette Svarre Nielsen,Mette Nyegaard,Sisse R Ostrowski,Ole BV Pedersen,Erik Sorensen,Christina Mikkelsen,Christian Erikstrup,Kathrine A Kaspersen,Mie T Bruun,Bitten Aagaard,Henrik Ullum,Barbara Obermayer-Pietsch,Ken K Ong,Aarno Palotie,Mary P Reeve,Andres Salumets,Richa Saxena,Timothy D Spector,Bronwyn GA Stuckey,Unnur Thorsteinsdottir,Andre G Uitterlinden,Margrit Urbanek,Sebastian Zollner,David A Van Heel,Genes and Health Research Team,DBDS Genomic Consortium,23ndMe Research Team,Joel N Hirschhorn,Kari Stefansson,John RB Perry,Unnur Styrkarsdottir,Scott G Wilson,Terhi Piltonen,Triin Laisk,Marjo-Riitta Jarvelin,Kharis Burns,Anne E Justice,Hannele Laivuori,Mark O Goodarzi,Lea K Davis,Andrea Dunaif,Cecilia M Lindgren,Joop SE Laven,Stephen Franks,Jenny A Visser,Corrine K Welt,Tugce Karaderi,Felix R Day

Journal

medRxiv

Published Date

2024

Integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits.

We present multi-integration of transcriptome-wide association studies and colocalization (Multi-INTACT), an algorithm that models multiple gene products (e.g. encoded RNA transcript and protein levels) to implicate causal genes and relevant gene products. In simulations, Multi-INTACT achieves higher power than existing methods, maintains calibrated false discovery rates, and detects the true causal gene product(s). We apply Multi-INTACT to GWAS on 1,408 metabolites, integrating the GTEx expression and UK Biobank protein QTL datasets. Multi-INTACT infers 52% to 109% more metabolite causal genes than protein-alone or expression-alone analyses and indicates both gene products are relevant for most gene nominations.

Authors

Jeffrey Okamoto,Xianyong Yin,Brady Ryan,Joshua Chiou,Francesca Luca,Roger Pique-Regi,Hae Kyung Im,Jean Morrison,Charles Burant,Eric Fauman,Markku Laakso,Michael Boehnke,Xiaoquan Wen

Journal

bioRxiv

Published Date

2024

Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits

Hypertension is a leading cause of premature death affecting more than a billion individuals worldwide. Here we report on the genetic determinants of blood pressure (BP) traits (systolic, diastolic, and pulse pressure) in the largest single-stage genome-wide analysis to date (N= 1,028,980 European-descent individuals). We identified 2,103 independent genetic signals (P< 5x10− 8) for BP traits, including 113 novel loci. These associations explain~ 40% of common SNP heritability of systolic and diastolic BP. Comparison of top versus bottom deciles of polygenic risk scores (PRS) based on these results reveal clinically meaningful differences in BP (12.9 mm Hg for systolic BP, 95% CI 11.5–14.2 mm Hg, p= 9.08× 10− 73) and hypertension risk (OR 5.41; 95% CI 4.12 to 7.10; P= 9.71× 10− 33) in an independent dataset. Compared with the area under the curve (AUC) for hypertension discrimination for a model with sex, age, BMI, and genetic ancestry, adding systolic and diastolic BP PRS increased discrimination from 0.791 (95% CI= 0.781–0.801) to 0.814 (95% CI= 0.805–0.824,∆ AUC= 0.023, P= 2.27 x10− 22). Our transcriptome-wide association study detected 2,793 BP colocalized associations with genetically-predicted expression of 1,070 genes in five cardiovascular tissues, of which 500 are previously unreported for BP traits. These findings represent an advance in our understanding of hypertension and highlight the role of increasingly large genomic studies for development of more accurate PRS, which may inform precision health research.

Authors

Helen Warren,Todd Edwards,Ahmad Vaez,Jacob Keaton,Zoha Kamali,Tian Xie,Alireza Ani,Evangelos Evangelou,Jacklyn Hellwege,Loïc Yengo,William Young,Matthew Traylor,Ayush Giri,Peter Visscher,Daniel Chasman,Andrew Morris,Mark Caulfield,Shih-Jen Hwang,Jaspal Kooner,David Conen,John Attia,Alanna Morrison,Ruth Loos,Kati Kristiansson,Reinhold Schmidt,Andrew Hicks,Peter Pramstaller,Christopher Nelson,Nilesh Samani,Lorenz Risch,Ulf Gyllensten,Olle Melander,Harriëtte Riese,James Wilson,Harry Campbell,Bruce Psaty,Yingchang Lu,Jerome Rotter,Xiuqing Guo,Kenneth Rice,Peter Vollenweider,Johan Sundstrom,Claudia Langenberg,Martin Tobin,Vilmantas Giedraitis,Jaakko Tuomilehto,Zoltan Kutalik,Samuli Ripatti,Veikko Salomaa,Giorgia Girotto,Stella Trompet,J Wouter Jukema,Pim van der Harst,Paul Ridker,Franco Giulianini,Veronique Vitart,Anuj Goel,Hugh Watkins,Sarah Harris,Ian Deary,Peter van der Most,Albertine Oldehinkel,Bernard Keavney,Caroline Hayward,Archie Campbell,Michael Boehnke,Laura Scott,Thibaud Boutin,Chrysovalanto Mamasoula,Marjo-Riitta Jarvelin,Annette Peters,Christian Gieger,Edward Lakatta,Francesco Cucca,Jennie Hui,Paul Knekt,Stefan Enroth,Martin de Borst,Ozren Polasek,Maria Pina Concas,Eulalia Catamo,Massimiliano Cocca,Ruifang Li-Gao,Edith Hofer,Helena Schmidt,Beatrice Spedicati,Melanie Waldenberger,David Strachan,Maris Laan,Alexander Teumer,Marcus Dörr,Vilmundur Gudnason,James Cook,Daniela Ruggiero,Ivana Kolcic,Eric Boerwinkle,Michela Traglia,Terho Lehtimäki,Olli Raitakari,Andrew Johnson,Christopher Newton-Cheh,Morris Brown,Anna Dominiczak,Peter Sever,Neil Poulter,John Chambers,Roberto Elosua,David Siscovick,Tōnu Esko,Andres Metspalu,Rona Strawbridge,Markku Laakso,Anders Hamsten,Jouke-Jan Hottenga,Eco de Geus,Colin Palmer,Ilja Nolte,Yuri Milaneschi,Jonathan Marten,Alan Wright,Eleftheria Zeggini,Joanna Howson,Christopher O'Donnell,Tim Spector,Mike Nalls,Eleanor Simonsick,Yongmei Liu,Cornelia van Duijn,Adam Butterworth,John Danesh,Cristina Menni,Nick Wareham,Kay Khaw,Joshua Denny,Daniel Levy,Patricia Munroe,Harold Snieder

Published Date

2022/3/10

Fine-mapping genomic loci refines bipolar disorder risk genes

Bipolar disorder (BD) is a heritable mental illness with complex etiology. While the largest published genome-wide association study identified 64 BD risk loci, the causal SNPs and genes within these loci remain unknown. We applied a suite of statistical and functional fine-mapping methods to these loci, and prioritized 22 likely causal SNPs for BD. We mapped these SNPs to genes, and investigated their likely functional consequences by integrating variant annotations, brain cell-type epigenomic annotations, brain quantitative trait loci, and results from rare variant exome sequencing in BD. Convergent lines of evidence supported the roles of SCN2A, TRANK1, DCLK3, INSYN2B, SYNE1, THSD7A, CACNA1B, TUBBP5, PLCB3, PRDX5, KCNK4, AP001453.3, TRPT1, FKBP2, DNAJC4, RASGRP1, FURIN, FES, YWHAE, DPH1, GSDMB, MED24, THRA, EEF1A2, and KCNQ2 in BD. These represent promising candidates for functional experiments to understand biological mechanisms and therapeutic potential. Additionally, we demonstrated that fine-mapping effect sizes can improve performance and transferability of BD polygenic risk scores across ancestrally diverse populations, and present a high-throughput fine-mapping pipeline (https://github.com/mkoromina/SAFFARI).

Authors

Maria Koromina,Ashvin Ravi,Georgia Panagiotaropoulou,Brian M Schilder,Jack Humphrey,Alice Braun,Tim Bidgeli,Chris Chatzinakos,Brandon Coombes,Jaeyoung Kim,Xiaoxi Liu,Chikashi Terao,Kevin S O'Connell,Mark Adams,Rolf Adolfsson,Martin Alda,Lars Alfredsson,Till FM Andlauer,Ole A Andreassen,Anastasia Antoniou,Bernhard T Baune,Susanne Bengesser,Joanna Biernacka,Michael Boehnke,Rosa Bosch,Murray Cairns,Vaughan J Carr,Miquel Casas,Stanley Catts,Sven Cichon,Aiden Corvin,Nicholas Craddock,Konstantinos Dafnas,Nina Dalkner,Udo Dannlowski,Franziska Degenhardt,Arianna Di Florio,Dimitris Dikeos,Frederike Tabea Fellendorf,Panagiotis Ferentinos,Andreas J Forstner,Liz Forty,Mark Frye,Janice M Fullerton,Micha Gawlik,Ian R Gizer,Katherine Gordon-Smith,Melissa J Green,Maria Grigoroiu-Serbanescu,Josep Guzman-Parra,Tim Hahn,Frans Henskens,Jan Hillert,Assen V Jablensky,Lisa Jones,Ian Jones,Lina Jonsson,John R Kelsoe,Tilo Kircher,George Kirov,Sarah Kittel-Schneider,Manolis Kogevinas,Mikael Landen,Marion Leboyer,Melanie Lenger,Jolanta Lissowska,Christine Lochner,Carmel Loughland,Donald MacIntyre,Nicholas G Martin,Eirini Maratou,Carol A Mathews,Fermin Mayoral,Susan L McElroy,Nathaniel W McGregor,Andrew McIntosh,Andrew McQuillin,Patricia Michie,Philip B Mitchell,Paraskevi Moutsatsou,Bryan Mowry,Bertram Mueller-Myhsok,Richard Myers,Igor Nenadic,Markus M Noethen,Michael O'Donovan,Claire O'Donovan,Roel A Ophoff,Michael J Owen,Chris Pantelis,Carlos Pato,Michele T Pato,George P Patrinos,Joanna M Pawlak,Roy H Perlis,Evgenia Porichi,Danielle Posthuma,Josep Antoni Ramos-Quiroga,Andreas Reif,Eva Z Reininghaus,Marta Ribases,Marcella Rietschel,Ulrich Schall,Thomas G Schulze,Laura Scott,Rodney J Scott,Alessandro Serretti,Cynthia Shannon Weickert,Jordan W Smoller,Maria Soler Soler Artigas,Dan J Stein,Fabian Streit,Claudio Toma,Paul Tooney,Eduard Vieta,John B Vincent,Irwin D Waldman,Thomas Weickert,Stephanie H Witt,Beata Swiatkowska,Kyung Sue Sue Hong,Masashi Ikeda,Nakao Iwata,Hong-Hee Won,Howard J Edenberg,Stephan Ripke,Towfique Raj,Jonathan RI Coleman,Niamh Mullins

Journal

medRxiv

Published Date

2024

Prioritization of Kidney Cell Types Highlights Myofibroblast Cells in Regulating Human Blood Pressure

IntroductionBlood pressure (BP) is a highly heritable trait with over 2000 underlying genomic loci identified to date. Although the kidney plays a key role, little is known about specific cell types involved in the genetic regulation of BP.MethodsHere, we applied stratified linkage disequilibrium score (LDSC) regression to connect BP genome-wide association studies (GWAS) results to specific cell types of the mature human kidney. We used the largest single-stage BP genome-wide analysis to date, including up to 1,028,980 adults of European ancestry, and single-cell transcriptomic data from 14 mature human kidneys, with mean age of 41 years.ResultsOur analyses prioritized myofibroblasts and endothelial cells, among the total of 33 annotated cell type, as specifically involved in BP regulation (P < 0.05/33, i.e., 0.001515). Enrichment of heritability for systolic BP (SBP) was observed in myofibroblast cells in mature …

Authors

Mahboube Ganji-Arjenaki,Zoha Kamali,Evangelos Evangelou,Helen R Warren,He Gao,Georgios Ntritsos,Niki Dimou,Tonu Esko,Reedik Mägi,Lili Milani,Peter Almgren,Thibaud Boutin,Stéphanie Debette,Jun Ding,Franco Giulianini,Elizabeth G Holliday,Anne U Jackson,Ruifang Li-Gao,Wei-Yu Lin,Massimo Mangino,Christopher Oldmeadow,Bram Peter Prins,Yong Qian,Muralidharan Sargurupremraj,Nabi Shah,Praveen Surendran,Sébastien Thériault,Niek Verweij,Sara M Willems,Jing-Hua Zhao,Philippe Amouyel,John Connell,Renée de Mutsert,Alex SF Doney,Martin Farrall,Cristina Menni,Andrew D Morris,Raymond Noordam,Guillaume Paré,Neil R Poulter,Denis C Shields,Alice Stanton,Simon Thom,Gonçalo Abecasis,Najaf Amin,Dan E Arking,Kristin L Ayers,Caterina M Barbieri,Chiara Batini,Joshua C Bis,Tineka Blake,Murielle Bochud,Michael Boehnke,Eric Boerwinkle,Dorret I Boomsma,Erwin P Bottinger,Peter S Braund,Marco Brumat,Archie Campbell,Harry Campbell,Aravinda Chakravarti,John C Chambers,Ganesh Chauhan,Marina Ciullo,Massimiliano Cocca,Francis Collins,Heather J Cordell,Gail Davies,Martin H de Borst,Eco J de Geus,Ian J Deary,Joris Deelen,M Fabiola Del Greco,Cumhur Yusuf Demirkale,Marcus Dörr,Georg B Ehret,Roberto Elosua,Stefan Enroth,A Mesut Erzurumluoglu,Teresa Ferreira,Mattias Frånberg,Oscar H Franco,Ilaria Gandin,Paolo Gasparini,Vilmantas Giedraitis,Christian Gieger,Giorgia Girotto,Anuj Goel,Alan J Gow,Vilmundur Gudnason,Xiuqing Guo,Ulf Gyllensten,Anders Hamsten,Tamara B Harris,Sarah E Harris,Catharina A Hartman,Aki S Havulinna,Andrew A Hicks,Edith Hofer,Albert Hofman,Jouke-Jan Hottenga,Jennifer E Huffman,Shih-Jen Hwang,Erik Ingelsson,Alan James,Rick Jansen,Marjo-Riitta Jarvelin,Roby Joehanes,Åsa Johansson,Andrew D Johnson,Peter K Joshi,Pekka Jousilahti,J Wouter Jukema,Antti Jula,Mika Kähönen,Sekar Kathiresan,Bernard D Keavney,Kay-Tee Khaw,Paul Knekt,Joanne Knight,Ivana Kolcic,Jaspal S Kooner,Seppo Koskinen,Kati Kristiansson,Zoltan Kutalik,Maris Laan,Marty Larson,Lenore J Launer,Benjamin Lehne,Terho Lehtimäki,David CM Liewald,Li Lin,Lars Lind,Cecilia M Lindgren,YongMei Liu,Ruth JF Loos,Lorna M Lopez,Yingchang Lu,Leo-Pekka Lyytikäinen,Anubha Mahajan,Chrysovalanto Mamasoula,Jaume Marrugat,Jonathan Marten,Yuri Milaneschi,Anna Morgan,Andrew P Morris,Alanna C Morrison,Peter J Munson,Mike A Nalls,Priyanka Nandakumar

Journal

Kidney International Reports

Published Date

2024/3/13

2023 ASHG Leadership Award: Nancy Cox

This article is based on the address given by the author at the 2023 meeting of the American Society of Human Genetics (ASHG) in Washington, D.C. The video of the original address can be found at the ASHG website.

Authors

Michael Boehnke

Journal

The American Journal of Human Genetics

Published Date

2024/3/7

Loci for insulin processing and secretion provide insight into type 2 diabetes risk

Insulin secretion is critical for glucose homeostasis, and increased levels of the precursor proinsulin relative to insulin indicate pancreatic islet beta-cell stress and insufficient insulin secretory capacity in the setting of insulin resistance. We conducted meta-analyses of genome-wide association results for fasting proinsulin from 16 European-ancestry studies in 45,861 individuals. We found 36 independent signals at 30 loci (p value < 5 × 10−8), which validated 12 previously reported loci for proinsulin and ten additional loci previously identified for another glycemic trait. Half of the alleles associated with higher proinsulin showed higher rather than lower effects on glucose levels, corresponding to different mechanisms. Proinsulin loci included genes that affect prohormone convertases, beta-cell dysfunction, vesicle trafficking, beta-cell transcriptional regulation, and lysosomes/autophagy processes. We colocalized 11 …

Authors

K Alaine Broadaway,Xianyong Yin,Alice Williamson,Victoria A Parsons,Emma P Wilson,Anne H Moxley,Swarooparani Vadlamudi,Arushi Varshney,Anne U Jackson,Vasudha Ahuja,Stefan R Bornstein,Laura J Corbin,Graciela E Delgado,Om P Dwivedi,Lilian Fernandes Silva,Timothy M Frayling,Harald Grallert,Stefan Gustafsson,Liisa Hakaste,Ulf Hammar,Christian Herder,Sandra Herrmann,Kurt Højlund,David A Hughes,Marcus E Kleber,Cecilia M Lindgren,Ching-Ti Liu,Jian’an Luan,Anni Malmberg,Angela P Moissl,Andrew P Morris,Nikolaos Perakakis,Annette Peters,John R Petrie,Michael Roden,Peter EH Schwarz,Sapna Sharma,Angela Silveira,Rona J Strawbridge,Tiinamaija Tuomi,Andrew R Wood,Peitao Wu,Björn Zethelius,Damiano Baldassarre,Johan G Eriksson,Tove Fall,Jose C Florez,Andreas Fritsche,Bruna Gigante,Anders Hamsten,Eero Kajantie,Markku Laakso,Jari Lahti,Deborah A Lawlor,Lars Lind,Winfried März,James B Meigs,Johan Sundström,Nicholas J Timpson,Robert Wagner,Mark Walker,Nicholas J Wareham,Hugh Watkins,Inês Barroso,Stephen O’Rahilly,Niels Grarup,Stephen CJ Parker,Michael Boehnke,Claudia Langenberg,Eleanor Wheeler,Karen L Mohlke

Journal

The American Journal of Human Genetics

Published Date

2023/2/2

Professor FAQs

What is Michael Boehnke's h-index at University of Michigan?

The h-index of Michael Boehnke has been 120 since 2020 and 167 in total.

What are Michael Boehnke's top articles?

The articles with the titles of

Genome-wide characterization of circulating metabolic biomarkers

Genomic and proteomic evidence for hormonal and metabolic foundations of polycystic ovary syndrome

Integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits.

Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits

Fine-mapping genomic loci refines bipolar disorder risk genes

Prioritization of Kidney Cell Types Highlights Myofibroblast Cells in Regulating Human Blood Pressure

2023 ASHG Leadership Award: Nancy Cox

Loci for insulin processing and secretion provide insight into type 2 diabetes risk

...

are the top articles of Michael Boehnke at University of Michigan.

What are Michael Boehnke's research interests?

The research interests of Michael Boehnke are: Statistical and computational human genetics and genomics, complex traits, type 2 diabetes and related traits