Kateryna Makova

Director of the Center for Medical Genomics; Professor of Biology

Kateryna Makova

Research Summary

Molecular evolution, population genetics, evolutionary genomics, bioinformatics, and human genetics.

Graduate Students

Huck Affiliations

Links

Publication Tags

Genome Mitochondrial Dna Dna Technology Polymerization Human Genome Microbiota Weight Gain Mutation Growth Gastrointestinal Microbiome Rate Genes High Throughput Nucleotide Sequencing Human Population Microsatellite Repeats G Quadruplexes Sex Chromosomes Horses Ancestry Diet Neoplasms Gene Tandem Repeat Sequences Genetic Variation

Most Recent Papers

Investigating mitonuclear interactions in human admixed populations

Arslan A. Zaidi, Kateryna Dmytrivna Makova, 2019, Nature Ecology and Evolution on p. 213-222

Long-read sequencing technology indicates genome-wide effects of non-B DNA on polymerization speed and error rate

Wilfried M. Guiblet, Marzia Cremona, Monika Cechova, Robert Scott Harris, Iva Kejnovská, Eduard Kejnovsky, Kristin Eckert, Francesca Chiaromonte, Kateryna Dmytrivna Makova, 2018, Genome research on p. 1767-1778

Long-read sequencing technology indicates genome-wide effects of non-B DNA on polymerization speed and error rate

Wilfried M. Guiblet, Marzia Cremona, Monika Cechova, Robert Scott Harris, Iva Kejnovská, Eduard Kejnovsky, Kristin Eckert, Francesca Chiaromonte, Kateryna Dmytrivna Makova, 2018, Genome research on p. 1767-1778

Long-read sequencing technology indicates genome-wide effects of non-B DNA on polymerization speed and error rate

Wilfried M. Guiblet, Marzia Cremona, Monika Cechova, Robert Scott Harris, Iva Kejnovská, Eduard Kejnovsky, Kristin Eckert, Francesca Chiaromonte, Kateryna Dmytrivna Makova, 2018, Genome research on p. 1767-1778

Long-read sequencing technology indicates genome-wide effects of non-B DNA on polymerization speed and error rate

Wilfried M. Guiblet, Marzia Cremona, Monika Cechova, Robert Scott Harris, Iva Kejnovská, Eduard Kejnovsky, Kristin Eckert, Francesca Chiaromonte, Kateryna Dmytrivna Makova, 2018, Genome research on p. 1767-1778

Long-read sequencing technology indicates genome-wide effects of non-B DNA on polymerization speed and error rate

Wilfried M. Guiblet, Marzia Cremona, Monika Cechova, Robert Scott Harris, Iva Kejnovská, Eduard Kejnovsky, Kristin Eckert, Francesca Chiaromonte, Kateryna Dmytrivna Makova, 2018, Genome research on p. 1767-1778

Child Weight Gain Trajectories Linked To Oral Microbiota Composition

Sarah Craig, Daniel Blankenberg, Alice Carla Luisa Parodi, Ian Paul, Leann L. Birch, Jennifer Savage Williams, Michele E. Marini, Jennifer L. Stokes, Anton Nekrutenko, Matthew Logan Reimherr, Francesca Chiaromonte, Kateryna Dmytrivna Makova, 2018, Scientific reports

Child Weight Gain Trajectories Linked To Oral Microbiota Composition

Sarah Craig, Daniel Blankenberg, Alice Carla Luisa Parodi, Ian Paul, Leann L. Birch, Jennifer Savage Williams, Michele E. Marini, Jennifer L. Stokes, Anton Nekrutenko, Matthew Logan Reimherr, Francesca Chiaromonte, Kateryna Dmytrivna Makova, 2018, Scientific reports

Child Weight Gain Trajectories Linked To Oral Microbiota Composition

Sarah Craig, Daniel Blankenberg, Alice Carla Luisa Parodi, Ian Paul, Leann L. Birch, Jennifer Savage Williams, Michele E. Marini, Jennifer L. Stokes, Anton Nekrutenko, Matthew Logan Reimherr, Francesca Chiaromonte, Kateryna Dmytrivna Makova, 2018, Scientific reports

Child Weight Gain Trajectories Linked To Oral Microbiota Composition

Sarah Craig, Daniel Blankenberg, Alice Carla Luisa Parodi, Ian Paul, Leann L. Birch, Jennifer Savage Williams, Michele E. Marini, Jennifer L. Stokes, Anton Nekrutenko, Matthew Logan Reimherr, Francesca Chiaromonte, Kateryna Dmytrivna Makova, 2018, Scientific reports

High-Impact Papers

Complete Khoisan and Bantu genomes from southern Africa

Stephan C. Schuster, Webb Miller, Aakrosh Ratan, Lynn P. Tomsho, Belinda Giardine, Lindsay R. Kasson, Robert Scott Harris, Desiree C. Petersen, Fangqing Zhao, Ji Qi, Can Alkan, Jeffrey M. Kidd, Yazhou Sun, Daniela I. Drautz, Pascal Bouffard, Donna M. Muzny, Jeffrey G. Reid, Lynne V. Nazareth, Qingyu Wang, Richard Burhans, Cathy Riemer, Nicola E. Wittekindt, Priya Moorjani, Elizabeth A. Tindall, Charles G. Danko, Wee Siang Teo, Anne M. Buboltz, Zhenhai Zhang, Qianyi Ma, Arno Oosthuysen, Abraham W. Steenkamp, Hermann Oostuisen, Philippus Venter, John Gajewski, Yu Zhang, Benjamin Franklin Pugh, Kateryna Dmytrivna Makova, Anton Nekrutenko, Elaine R. Mardis, Nick Patterson, Tom H. Pringle, Francesca Chiaromonte, James C. Mullikin, Evan E. Eichler, Ross Cameron Hardison, Richard A. Gibbs, Timothy T. Harkins, Vanessa M. Hayes, 2010, Nature on p. 943-947

The origin, evolution, and functional impact of short insertion-deletion variants identified in 179 human genomes

Stephen B. Montgomery, David L. Goode, Erika Kvikstad, Cornelis A. Albers, Zhengdong D. Zhang, Xinmeng Jasmine Mu, Guruprasad Ananda, Bryan Howie, Konrad J. Karczewski, Kevin S. Smith, Vanessa Anaya, Rhea Richardson, Joe Davis, Daniel G. MacArthur, Arend Sidow, Laurent Duret, Mark Gerstein, Kateryna Dmytrivna Makova, Jonathan Marchini, Gil McVean, Gerton Lunter, 2013, Genome research on p. 749-761

Dynamics of mitochondrial heteroplasmy in three families investigated via a repeatable re-sequencing study

Hiroki Goto, Benjamin Dickins, Enis Afgan, Ian Paul, James Taylor, Kateryna Dmytrivna Makova, Anton Nekrutenko, 2011, Genome biology

A genome-wide analysis of common fragile sites

Arkarachai Fungtammasan, Erin Walsh, Francesca Chiaromonte, Kristin Eckert, Kateryna Dmytrivna Makova, 2012, Genome Research on p. 993-1005

Maternal age effect and severe germ-line bottleneck in the inheritance of human mitochondrial DNA

Boris Rebolledo-Jaramillo, Marcia Shu Wei Su, Nicholas Stoler, Jennifer A. McElhoe, Benjamin Dickins, Daniel Blankenberg, Thorfinn S. Korneliussen, Francesca Chiaromonte, Rasmus Nielsen, Mitchell Mark Holland, Ian Paul, Anton Nekrutenko, Kateryna Dmytrivna Makova, 2014, Proceedings of the National Academy of Sciences of the United States of America on p. 15474-15479

What is a microsatellite

Yogeshwar D. Kelkar, Noelle Strubczewski, Suzanne E. Hile, Francesca Chiaromonte, Kristin Eckert, Kateryna Dmytrivna Makova, 2010, Genome Biology and Evolution on p. 620-635

Evolution and survival on eutherian sex chromosomes

Melissa A. Wilson, Kateryna Dmytrivna Makova, 2009, PLoS Genetics

Development and assessment of an optimized next-generation DNA sequencing approach for the mtgenome using the Illumina MiSeq

Jennifer A. McElhoe, Mitchell Mark Holland, Kateryna Dmytrivna Makova, Marcia Shu Wei Su, Ian Paul, Christine H. Baker, Seth A. Faith, Brian Young, 2014, Forensic Science International: Genetics on p. 20-29

Do variations in substitution rates and male mutation bias correlate with life-history traits? a study of 32 mammalian genomes

Melissa A Wilson Sayres, Chris Venditti, Mark Pagel, Kateryna Dmytrivna Makova, 2011, Evolution on p. 2800-2815

A massively parallel sequencing approach uncovers ancient origins and high genetic variability of endangered Przewalski's horses

Hiroki Goto, Oliver A. Ryder, Allison R. Fisher, Bryant Schultz, Sergei L.Kosakovsky Pond, Anton Nekrutenko, Kateryna Dmytrivna Makova, 2011, Genome Biology and Evolution on p. 1096-1106

News Articles Featuring Kateryna Makova

Mixed Ancestry Might Affect Our Mitochondria

Could the bacteria in a child’s mouth predict obesity?

There may soon be a simple way to identify children at risk for developing obesity later in life. Researchers from Penn State University analyzed the bacteria in the mouths of 226 2-year-olds and found that a child's oral microbiota can be used as a tool to predict weight gain during the first two years of their life.

Mouth bacteria in toddlers may predict obesity, study says

Bacteria in a toddler's mouth might help predict later obesity, new research suggests. Scientists at Penn State University found the composition of microorganisms in the mouths of 2-year-olds offers clues to the child's future weight.

Swabbing a child’s mouth for bacteria could predict how likely they are to become obese

A swab of a toddler’s mouth may predict their odds of growing into obese children, a new study suggests. Scientists at Pennsylvania State University discovered that the harmless microorganisms living in a two-year-old’s mouth were less diverse if they had gained more weight more quickly than most since birth.

Your Child's Mouth Could Reveal Their Obesity Risk

Scientists believe the bacteria that live in a toddler’s mouth could provide clues as to whether they will become obese. Existing research suggests the microbes inhabiting the guts and mouths of obese adults differ to those without the condition, but less is known about this pattern in children. So biologists at Pennsylvania State University set out to investigate what a child’s microbiota could say about their weight.