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.

Huck Graduate Students

Huck Affiliations

Links

Publication Tags

Genome Mitochondrial Dna Mutation Genes Dna Y Chromosome Mutation Rate Data Analysis Error Correction Family Nucleotides Human Genome Gene Frequency Oocytes Molecules Costs Mutagenesis Chromatin Tissue Mothers Tissues Gene Expression Pedigree Pan Troglodytes Germ Cells

Most Recent Papers

Non-B DNA: a major contributor to small- and large-scale variation in nucleotide substitution frequencies across the genome.

W Guiblet, M Cremona, R Harris, D Chen, K Eckert, Francesca Chiaromonte, Y Huang, K Makova, 2021, Nucleic Acids Research on p. 1497-1516

Associations between stool micro-transcriptome, gut microbiota, and infant growth.

M Carney, X Zhan, A Rangnekar, M Chroneos, Craig SJC, Kateryna Makova, I Paul, S Hicks, 2021, Journal of Developmental Origins of Health and Disease on p. 1-7

Human L1 transposition dynamics unraveled with functional data analysis

Di Chen, Marzia A. Cremona, Zongtai Qi, Robi D. Mitra, Francesca Chiaromonte, Kateryna D. Makova, 2020, Molecular Biology and Evolution on p. 3576-3600

Dynamic evolution of great ape Y chromosomes

Monika Cechova, Rahulsimham Vegesna, Marta Hoover, Robert S. Harris, Di Chen, Samarth Rangavittal, Paul Medvedev, Kateryna Dmytrivna Makova, 2020, Proceedings of the National Academy of Sciences of the United States of America on p. 26273-26280

Age-related accumulation of de novo mitochondrial mutations in mammalian oocytes and somatic tissues

Barbara Arbeithuber, James Hester, Marzia A. Cremona, Nicholas Stoler, Arslan Zaidi, Bonnie Higgins, Kate Anthony, Francesca Chiaromonte, Francisco J. Diaz, Kateryna D. Makova, 2020, PLoS Biology

Ampliconic genes on the great spe Y chromosomes: rapid evolution of copy number but conservation of expression levels

Rahulsimham Vegesna, Marta Tomaszkiewicz, Oliver A. Ryder, Rebeca Campos-Sánchez, Paul Medvedev, Michael DeGiorgio, Kateryna D. Makova, 2020, Genome Biology and Evolution on p. 842-859

Family reunion via error correction: An efficient analysis of duplex sequencing data

Nicholas Stoler, Barbara Arbeithuber, Gundula Povysil, Monika Heinzl, Renato Salazar, Kateryna D. Makova, Irene Tiemann-Boege, Anton Nekrutenko, 2020, BMC Bioinformatics

Pronounced somatic bottleneck in mitochondrial DNA of human hair

Alison Barrett, Barbara Arbeithuber, Arslan Zaidi, Peter Wilton, Ian M. Paul, Rasmus Nielsen, Kateryna D. Makova, 2020, Philosophical Transactions of the Royal Society B: Biological Sciences on p. 20190175

Bottleneck and selection in the germline and maternal age influence transmission of mitochondrial DNA in human pedigrees.

A Zaidi, P Wilton, Meng Su, Ian Paul, B Arbeithuber, K Anthony, Anton Nekrutenko, R Nielsen, Kateryna Makova, 2019, Proceedings of the National Academy of Sciences of the United States of America on p. 25172-25178

Noise-cancelling repeat finder: Uncovering tandem repeats in error-prone long-read sequencing data

Robert S. Harris, Monika Cechova, Kateryna D. Makova, Inanc Birol, 2019, Bioinformatics on p. 4809-4811

Most-Cited Papers

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 D. Makova, Jonathan Marchini, Gil McVean, Gerton Lunter, 2013, Genome Research on p. 749-761

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 M. Holland, Ian M. Paul, Anton Nekrutenko, Kateryna D. Makova, 2014, Proceedings of the National Academy of Sciences of the United States of America on p. 15474-15479

The effects of chromatin organization on variation in mutation rates in the genome

Kateryna D. Makova, Ross C. Hardison, 2015, Nature Reviews Genetics on p. 213-223

A genome-wide analysis of common fragile sites

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

Harnessing cloud computing with Galaxy Cloud

Enis Afgan, Dannon Baker, Nate Coraor, Hiroki Goto, Ian Paul, Kateryna Dmytrivna Makova, Anton Nekrutenko, James Taylor, 2011, Nature Biotechnology on p. 972-974

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

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

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

The Intervention Nurses Start Infants Growing on Healthy Trajectories (INSIGHT) study

Ian M. Paul, Jennifer S. Williams, Stephanie Anzman-Frasca, Jessica S. Beiler, Kateryna D. Makova, Michele E. Marini, Lindsey B. Hess, Susan E. Rzucidlo, Nicole Verdiglione, Jodi A. Mindell, Leann L. Birch, 2014, BMC Pediatrics

A time- and cost-effective strategy to sequence mammalian Y chromosomes: An application to the de novo assembly of gorilla Y

Marta Tomaszkiewicz, Samarth Rangavittal, Monika Cechova, Rebeca Campos Sanchez, Howard W. Fescemyer, Robert Harris, Danling Ye, Patricia C.M. O'Brien, Rayan Chikhi, Oliver A. Ryder, Malcolm A. Ferguson-Smith, Paul Medvedev, Kateryna D. Makova, 2016, Genome Research on p. 530-540

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 D. Makova, 2011, Evolution; international journal of organic evolution on p. 2800-2815

News Articles Featuring Kateryna Makova

Unusual DNA folding increases the rates of mutations

DNA sequences that can fold into shapes other than the classic double helix tend to have higher mutation rates than other regions in the human genome. New research by a team of Penn State scientists shows that the elevated mutation rate in these sequences plays a major role in determining regional variation in mutation rates across the genome.

Makova selected as holder of the Verne M. Willaman Chair in the Life Sciences

Kateryna Makova, Pentz Professor of Biology at Penn State, has been appointed as holder of the Verne M. Willaman Chair in the Life Sciences. The appointment, effective on Sept. 1, was made by the Office of the President of the University, based on the recommendation of the dean, in recognition of Makova’s national and international reputation for excellence in research and teaching.

Evolution of the Y chromosome in great apes deciphered

New analysis of the DNA sequence of the male-specific Y chromosomes from all living species of the great ape family helps to clarify our understanding of how this enigmatic chromosome evolved.

Scientists take a step toward understanding 'jumping genes' effect on the genome

Using state-of-the-art statistical methods, a team of researchers said they may have taken a leap closer to understanding a class of jumping genes, sequences that move to different locations in the human genome, which is the body’s complete set of DNA.

Tracking inheritance of human mitochondrial DNA

New insight into how genetic information stored in human mitochondria is passed from one generation to the next could have important implications for genetic counseling of people planning pregnancies, according to a study by researchers at Penn State and the University of California, Berkeley.

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.