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  1. Methods exist to appropriately perform association analyses in pedigrees. However, for genome-wide association analysis, these methods are computationally impractical. It is therefore important to determine al...

    Authors: Stacey Knight, Ryan P Abo, Jathine Wong, Alun Thomas and Nicola J Camp
    Citation: BMC Proceedings 2009 3(Suppl 7):S121

    This article is part of a Supplement: Volume 3 Supplement 7

  2. Multivariate linear growth curves were used to model high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), and systolic blood pressure (SBP) measured during four exams from 1659 in...

    Authors: Nicole M Roslin, Jemila S Hamid, Andrew D Paterson and Joseph Beyene
    Citation: BMC Proceedings 2009 3(Suppl 7):S117

    This article is part of a Supplement: Volume 3 Supplement 7

  3. Obesity has become an epidemic in many countries and is one of the major risk conditions for disease including type 2 diabetes, coronary heart disease, stroke, dyslipidemia, and hypertension. Recent genome-wid...

    Authors: Jian'an Luan, Berit Kerner, Jing-Hua Zhao, Ruth JF Loos, Stephen J Sharp, Bengt O MuthƩn and Nicholas J Wareham
    Citation: BMC Proceedings 2009 3(Suppl 7):S115

    This article is part of a Supplement: Volume 3 Supplement 7

  4. Epidemiologic study designs represent a major challenge for genome-wide association studies. Most such studies to date have selected controls from the pool of participants without the disease of interest at th...

    Authors: Delphine D Fradin and M Daniele Fallin
    Citation: BMC Proceedings 2009 3(Suppl 7):S113

    This article is part of a Supplement: Volume 3 Supplement 7

  5. Population stratification (PS) represents a major challenge in genome-wide association studies. Using the Genetic Analysis Workshop 16 Problem 1 data, which include samples of rheumatoid arthritis patients and...

    Authors: Dai Wang, Yu Sun, Paul Stang, Jesse A Berlin, Marsha A Wilcox and Qingqin Li
    Citation: BMC Proceedings 2009 3(Suppl 7):S109

    This article is part of a Supplement: Volume 3 Supplement 7

  6. Studies of complex diseases collect panels of disease-related traits, also known as secondary phenotypes or endophenotypes. They reflect intermediate responses to environment exposures, and as such, are likely...

    Authors: C Charles Gu, Wei (Will) Yang, Aldi T Kraja, Lisa de las Fuentes and Victor G DƔvila-RomƔn
    Citation: BMC Proceedings 2009 3(Suppl 7):S86

    This article is part of a Supplement: Volume 3 Supplement 7

  7. While genetic and environmental factors and their interactions influence susceptibility to rheumatoid arthritis (RA), causative genetic variants have not been identified. The purpose of the present study was t...

    Authors: Rector Arya, Elizabeth Hare, Inmaculada del Rincon, Christopher P Jenkinson, Ravindranath Duggirala, Laura Almasy and Agustin Escalante
    Citation: BMC Proceedings 2009 3(Suppl 7):S84

    This article is part of a Supplement: Volume 3 Supplement 7

  8. Rheumatoid arthritis (RA) is a complex, chronic inflammatory disease implicated to have several plausible candidate loci; however, these may not account for all the genetic variations underlying RA. Common dis...

    Authors: Odity Mukherjee, Krishna Rao Sanapala, Padmanabhan Anbazhagana and Saurabh Ghosh
    Citation: BMC Proceedings 2009 3(Suppl 7):S82

    This article is part of a Supplement: Volume 3 Supplement 7

  9. Transmission-ratio distortion (TRD) is a phenomenon in which the segregation of alleles does not obey Mendel's laws. As a simple example, a recessive locus that results in fetal lethality will result in live-b...

    Authors: Andrew D Paterson, Daryl Waggott, Arne Schillert, Claire Infante-Rivard, Shelley B Bull, Yun Joo Yoo and Dushanthi Pinnaduwage
    Citation: BMC Proceedings 2009 3(Suppl 7):S51

    This article is part of a Supplement: Volume 3 Supplement 7

  10. Cardiovascular diseases are associated with combinations of phenotypic traits, which are in turn caused by a combination of environmental and genetic factors. Because of the diversity of pathways that may lead...

    Authors: Sandra Waaijenborg and Aeilko H Zwinderman
    Citation: BMC Proceedings 2009 3(Suppl 7):S47

    This article is part of a Supplement: Volume 3 Supplement 7

  11. The phrase "mendelian randomization" has become associated with the use of genetic polymorphisms to uncover causal relationships between phenotypic variables. The statistical methods useful in mendelian random...

    Authors: Nathan J Morris, Courtney Gray-McGuire and Catherine M Stein
    Citation: BMC Proceedings 2009 3(Suppl 7):S45

    This article is part of a Supplement: Volume 3 Supplement 7

  12. Rheumatoid arthritis is inherited in a complex manner. So far several single susceptibility genes, such as PTPN22, STAT4, and TRAF1-C5, have been identified. However, it is presumed that some genes may interact t...

    Authors: Xiaoqi Cui, Qiuying Sha, Shuanglin Zhang and Huann-Sheng Chen
    Citation: BMC Proceedings 2009 3(Suppl 7):S43

    This article is part of a Supplement: Volume 3 Supplement 7

  13. There is a long-established association between rheumatoid arthritis and HLA-DRĪ²1. The shared epitope (SE) allele is an indicator of the presence of any of the HLA-DRĪ²1 alleles associated with RA. Other autoan...

    Authors: Abigail G Matthews, Jia Li, Chunsheng He, Jurg Ott and Mariza de Andrade
    Citation: BMC Proceedings 2009 3(Suppl 7):S12

    This article is part of a Supplement: Volume 3 Supplement 7

  14. The results from association studies are usually summarized by a measure of evidence of association (frequentist or Bayesian probability values) that does not directly reflect the impact of the detected signal...

    Authors: Justo Lorenzo Bermejo, Christine Fischer, Anke Schulz, Nadine Cremer, Rebecca Hein, Lars Beckmann, Jenny Chang-Claude and Kari Hemminki
    Citation: BMC Proceedings 2009 3(Suppl 7):S10

    This article is part of a Supplement: Volume 3 Supplement 7

  15. Acetylation of nascent protein NĪ±-termini is a common modification among archae and eukaryotes and can influence the structure and function of target proteins. This modification has been studied on an individual ...

    Authors: Petra Van Damme, Jozef Van Damme, Hans Demol, An Staes, Joƫl Vandekerckhove and Kris Gevaert
    Citation: BMC Proceedings 2009 3(Suppl 6):S6

    This article is part of a Supplement: Volume 3 Supplement 6

  16. Protein acetylation is a common modification that plays a central role in several cellular processes. The most widely used methods to study these modifications are either based on the detection of radioactivel...

    Authors: Rune Evjenth, Kristine Hole, Mathias Ziegler and Johan R Lillehaug
    Citation: BMC Proceedings 2009 3(Suppl 6):S5

    This article is part of a Supplement: Volume 3 Supplement 6

  17. Human NĪ±-acetyltransferase complex B (hNatB) is integrated by hNaa20p (hNAT5/hNAT3) and hNaa25p (hMDM20) proteins. Previous data have shown that this enzymatic complex is implicated in cell cycle progression and ...

    Authors: Amagoia Ametzazurra, Cristina GĆ”zquez, Marta Lasa, Esther Larrea, JesĆŗs Prieto and Rafael Aldabe
    Citation: BMC Proceedings 2009 3(Suppl 6):S4

    This article is part of a Supplement: Volume 3 Supplement 6

  18. Protein NĪ±-terminal acetylation is one of the most common protein modifications in eukaryotic cells, occurring on approximately 80% of soluble human proteins. An increasing number of studies links NĪ±-terminal ace...

    Authors: Kristian K Starheim, Darina Gromyko, Rolf Velde, Jan Erik Varhaug and Thomas Arnesen
    Citation: BMC Proceedings 2009 3(Suppl 6):S3

    This article is part of a Supplement: Volume 3 Supplement 6

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