Section Editors

  • Anna Malacrida, University of Pavia
  • Michele Morgante, Universita' di Udine
  • James Reecy, Iowa State University
  • Roscoe Stanyon, Univeristy of Florence
  • Rongling Wu, Pennsylvania State University
  • Shuhua Xu, (CAS-MPG) Partner Institute for Computational Biology

Executive Editor

  • Simon Harold, BioMed Central

Articles

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  • Image attributed to: Pratham Books_Flickr cc

    Genetic differences in India

    Population genetic analysis of Indian people from two distinct migrants groups speaking different languages identifies differences in a genomic region known to affect skin pigmentation which may have been influenced by gene flow from Europe.

    BMC Genetics 2014, 15:86
  • Image attributed to: From Fig 2 Zhang et al BMC Genetics 2011 12, 39

    Evaluating HLA imputation methods

    Comparing the performance of imputation methods in both European American and admixed African American samples finds that the newly developed HIBAG method performs as well or better than the more established HLA*IMP approach.

    BMC Genetics 2014, 15:72
  • Image attributed to: Sj?strand et al BMC Genetics 2014 15, 61

    New statistic for identifying positive selection

    The Maximum Frequency of Private Haplotypes statistic is a new summary statistic for detecting recent population-specific selection, that can capture signals of selection that are missed by other commonly-used statistics.

    BMC Genetics 2014, 15:61
  • Image attributed to: Hallsberg_Swedish National Heritage Board_Public Domain

    Food supply affects mortality across generations

    Analysis of 19th century harvest records from an isolated Swedish community reveals that female grandchildren have an increased risk of cardiovascular mortality if their paternal grandmother experienced a drastic change in food availability in their childhood.

    BMC Genetics 2014, 15:12

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Scope

BMC Genetics is an open access, peer-reviewed journal that considers articles on all aspects of inheritance and variation in individuals and among populations.

BMC Genetics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.

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Latest supplements

Volume 15 Suppl 1 (20 June 2014)

Selected articles from the International Symposium on Quantitative Genetics and Genomics of Woody Plants

Proceedings
Nantong, China. 16-18 August 2013

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Section Editor's profile

Rongling Wu

Rongling Wu is a Professor of Biostatistics and Bioinformatics and the Director of the Center for Statistical Genetics at The Pennsylvania State University. Dr. Wu's research interest focuses on the development of novel statistical models, designs, and algorithms for comprehending the genetic and epigenetic architecture of complex biological traits and processes. He is also interested in the construction of the genotype-phenotype map using network biology and systems biology. More recently, Dr. Wu has integrated his statistical approaches to experimental studies of complex trait genetics in the Center for Computational Biology he founded at Beijing Forestry University.

"As one of the earliest open access journals, BMC Genetics has been increasingly influential over years in the area of genetic research. It will continue to be a mainstream forum to publish the latest discoveries in genetics and genomics from leading scientists all around the world. In particular, it attracts the attention of the most promising young scientists to find, stimulate and publish various new ideas for higher-level research in genetics."

Professor Rongling Wu

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ISSN: 1471-2156