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  1. Nearly half of adults in the United States who are diagnosed with hypertension use blood-pressure-lowering medications. Yet there is a large interindividual variability in the response to these medications. Tw...

    Authors: Lindsay Fernández-Rhodes, Chani J. Hodonsky, Mariaelisa Graff, Shelly-Ann M. Love, Annie Green Howard, Amanda A. Seyerle, Christy L. Avery, Geetha Chittoor, Nora Franceschini, V. Saroja Voruganti, Kristin Young, Jeffrey R. O’Connell, Kari E. North and Anne E. Justice

    Citation: BMC Proceedings 2016 10(Suppl 7):65

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  2. The main focus of the Genetic Analysis Workshop 19 (GAW19) is identification of genes related to the occurrence of hypertension in the cohort of patients with type 2 diabetes mellitus (T2DM). The aim of our st...

    Authors: Piotr Radkowski, Gracjan Wątor, Jan Skupien, Anna Bogdali and Paweł Wołkow

    Citation: BMC Proceedings 2016 10(Suppl 7):64

    Content type: Proceedings

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    This article is part of a Supplement: Volume 10 Supplement 7

  3. The new generation of whole genome sequencing platforms offers great possibilities and challenges for dissecting the genetic basis of complex traits. With a very high number of sequence variants, a naïve multi...

    Authors: Marcio Almeida, Lucy Blondell, Juan M. Peralta, Jack W. Kent Jr, Goo Jun, Tanya M. Teslovich, Christian Fuchsberger, Andrew R. Wood, Alisa K. Manning, Timothy M. Frayling, Pablo E. Cingolani, Robert Sladek, Thomas D. Dyer, Goncalo Abecasis, Ravindranath Duggirala and John Blangero

    Citation: BMC Proceedings 2016 10(Suppl 7):63

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  4. In this study, the effects of (a) the minor allele frequency of the single nucleotide variant (SNV), (b) the degree of departure from normality of the trait, and (c) the position of the SNVs on type I error ra...

    Authors: Tae-Hwi Schwantes-An, Heejong Sung, Jeremy A. Sabourin, Cristina M. Justice, Alexa J. M. Sorant and Alexander F. Wilson

    Citation: BMC Proceedings 2016 10(Suppl 7):62

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  5. Next-generation sequencing technology makes directly testing rare variants possible. However, existing statistical methods to detect common variants may not be optimal for testing rare variants because of alle...

    Authors: Xuexia Wang, Xingwang Zhao and Jin Zhou

    Citation: BMC Proceedings 2016 10(Suppl 7):61

    Content type: Proceedings

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    This article is part of a Supplement: Volume 10 Supplement 7

  6. Genome-wide association studies have made substantial progress in identifying common variants associated with human diseases. Despite such success, a large portion of heritability remains unexplained. Evolutio...

    Authors: Sneha Jadhav, Olga A. Vsevolozhskaya, Xiaoran Tong and Qing Lu

    Citation: BMC Proceedings 2016 10(Suppl 7):60

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  7. Genome-wide microarray expression is a rich source of functional genomic data. We examined evidence for differences in expression from peripheral blood mononuclear cells between individuals, examined some of f...

    Authors: Michael Gallaugher, Angelo J. Canty and Andrew D. Paterson

    Citation: BMC Proceedings 2016 10(Suppl 7):58

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  8. Recent work on genetic association studies suggests that much of the heritable variation in complex traits is unexplained, which indicates a need for using more biologically meaningful modeling approaches and ...

    Authors: Stefan Konigorski, Yildiz E. Yilmaz and Tobias Pischon

    Citation: BMC Proceedings 2016 10(Suppl 7):57

    Content type: Proceedings

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    This article is part of a Supplement: Volume 10 Supplement 7

  9. There is great interindividual variation in systolic blood pressure (SBP) as a result of the influences of several factors, including sex, ancestry, smoking status, medication use, and, especially, age. The ma...

    Authors: Anne E. Justice, Annie Green Howard, Geetha Chittoor, Lindsay Fernandez-Rhodes, Misa Graff, V. Saroja Voruganti, Guoqing Diao, Shelly-Ann M. Love, Nora Franceschini, Jeffrey R. O’Connell, Christy L. Avery, Kristin L. Young and Kari E. North

    Citation: BMC Proceedings 2016 10(Suppl 7):56

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  10. Structural equation modeling (SEM) has been used in a wide range of applied sciences including genetic analysis. The recently developed R package, strum, implements a framework for SEM for general pedigree data. ...

    Authors: Yeunjoo E. Song, Nathan J. Morris and Catherine M. Stein

    Citation: BMC Proceedings 2016 10(Suppl 7):55

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  11. It is essential to develop adequate statistical methods to fully utilize information from longitudinal family studies. We extend our previous multipoint linkage disequilibrium approach—simultaneously accountin...

    Authors: Yen-Feng Chiu, Chun-Yi Lee and Fang-Chi Hsu

    Citation: BMC Proceedings 2016 10(Suppl 7):54

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  12. We propose a novel LASSO (least absolute shrinkage and selection operator) penalized regression method used to analyze samples consisting of (potentially) related individuals. Developed in the context of linea...

    Authors: Charalampos Papachristou, Carole Ober and Mark Abney

    Citation: BMC Proceedings 2016 10(Suppl 7):53

    Content type: Proceedings

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    This article is part of a Supplement: Volume 10 Supplement 7

  13. Current findings from genetic studies of complex human traits often do not explain a large proportion of the estimated variation of these traits due to genetic factors. This could be, in part, due to overly st...

    Authors: Emily R. Holzinger, Silke Szymczak, James Malley, Elizabeth W. Pugh, Hua Ling, Sean Griffith, Peng Zhang, Qing Li, Cheryl D. Cropp and Joan E. Bailey-Wilson

    Citation: BMC Proceedings 2016 10(Suppl 7):52

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  14. Meta-analysis has been widely used in genetic association studies to increase sample size and to improve power, both in the context of single-variant analysis, as well as for gene-based tests. Meta-analysis ap...

    Authors: Shuai Wang, Virginia A. Fisher, Yuning Chen and Josée Dupuis

    Citation: BMC Proceedings 2016 10(Suppl 7):51

    Content type: Proceedings

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    This article is part of a Supplement: Volume 10 Supplement 7

  15. We present a novel approach to detect potential cis-acting regulatory loci that combines the functional potential, an empirical DNase-seq based estimate of the allele-specificity of DNase-I hypersensitivity sites...

    Authors: Juan Manuel Peralta, Marcio Almeida, Lawrence J. Abraham, Eric Moses and John Blangero

    Citation: BMC Proceedings 2016 10(Suppl 7):50

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  16. We explore causal relationships between genotype, gene expression and phenotype in the Genetic Analysis Workshop 19 data. We compare the use of structural equation modeling and a Bayesian unified framework app...

    Authors: Holly F. Ainsworth and Heather J. Cordell

    Citation: BMC Proceedings 2016 10(Suppl 7):49

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  17. Recent focus on studying rare variants makes imputation accuracy of rare variants an important issue. Many approaches have been proposed to increase imputation accuracy among rare variants, from reference pane...

    Authors: Samantha Lent, Xuan Deng, L. Adrienne Cupples, Kathryn L. Lunetta, CT Liu and Yanhua Zhou

    Citation: BMC Proceedings 2016 10(Suppl 7):48

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  18. Statistical association tests for rare variants can be classified as the burden approach and the sequence kernel association test (SKAT) approach. The burden and SKAT approaches, originally developed for case–...

    Authors: Peng-Lin Lin, Wei-Yun Tsai and Ren-Hua Chung

    Citation: BMC Proceedings 2016 10(Suppl 7):47

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  19. Estimating relationships among subjects in a sample, within family structures or caused by population substructure, is complicated in admixed populations. Inaccurate allele frequencies can bias both kinship es...

    Authors: Elizabeth M. Blue, Lisa A. Brown, Matthew P. Conomos, Jennifer L. Kirk, Alejandro Q. Nato Jr, Alice B. Popejoy, Jesse Raffa, John Ranola, Ellen M. Wijsman and Timothy Thornton

    Citation: BMC Proceedings 2016 10(Suppl 7):42

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  20. The relationship between genetic variability and individual phenotypes is usually investigated by testing for association relying on called genotypes. Allele counts obtained from next-generation sequence data ...

    Authors: Rosa González Silos, Özge Karadag, Barbara Peil, Christine Fischer, Maria Kabisch, Carine Legrand and Justo Lorenzo Bermejo

    Citation: BMC Proceedings 2016 10(Suppl 7):41

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  21. Estimating the causal effect of a single nucleotide variant (SNV) on clinical phenotypes is of interest in many genetic studies. The effect estimation may be confounded by other SNVs as a result of linkage dis...

    Authors: Chi Wang, Jinpeng Liu and David W. Fardo

    Citation: BMC Proceedings 2016 10(Suppl 7):38

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  22. Identifying variants that regulate gene expression and delineating their genetic architecture is a critical next step in our endeavors to better understand the genetic etiology of complex diseases. The appropr...

    Authors: Rita M. Cantor, Calvin Pan and Kimberly Siegmund

    Citation: BMC Proceedings 2016 10(Suppl 7):37

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  23. With the advance of next-generation sequencing technologies, the study of rare variants in targeted genome regions or even the whole genome becomes feasible. Nevertheless, the massive amount of sequencing data...

    Authors: Xiaoran Tong, Changshuai Wei and Qing Lu

    Citation: BMC Proceedings 2016 10(Suppl 7):36

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  24. For a better understanding of the biological mechanisms involved in complex traits or diseases, networks are often useful tools in genetic studies: coexpression networks based on pairwise correlations between ...

    Authors: Renaud Tissier, Hae-Won Uh, Erik van den Akker, Brunilda Balliu, Spyridoula Tsonaka and Jeanine Houwing-Duistermaat

    Citation: BMC Proceedings 2016 10(Suppl 7):35

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  25. Machine learning methods continue to show promise in the analysis of data from genetic association studies because of the high number of variables relative to the number of observations. However, few best prac...

    Authors: Elizabeth Held, Joshua Cape and Nathan Tintle

    Citation: BMC Proceedings 2016 10(Suppl 7):34

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  26. Common complex traits may involve multiple genetic and environmental factors and their interactions. Many methods have been proposed to identify these interaction effects, among them several machine learning a...

    Authors: Damian Gola and Inke R. König

    Citation: BMC Proceedings 2016 10(Suppl 7):33

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  27. We propose a new method for identifying disease-related regions of single nucleotide variants in recently admixed populations. We use principal component analysis to derive both global and local ancestry infor...

    Authors: Jonathan Auerbach, Michael Agne, Rachel Fan, Adeline Lo, Shaw-Hwa Lo, Tian Zheng and Pei Wang

    Citation: BMC Proceedings 2016 10(Suppl 7):32

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  28. Expression quantitative trait locus (eQTL) maps are considered a valuable resource in studying complex diseases. The availability of gene expression data from the Genetic Analysis Workshop 19 (GAW19) provides ...

    Authors: Achilleas N. Pitsillides, Seung-Hoan Choi, John D. Hogan, Jaeyoung Hong and Honghuang Lin

    Citation: BMC Proceedings 2016 10(Suppl 7):31

    Content type: Proceedings

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    This article is part of a Supplement: Volume 10 Supplement 7

  29. The application of pathway and gene-set based analyses to high-throughput data is increasingly common and represents an effort to understand underlying biology where single-gene or single-marker analyses have ...

    Authors: Ellen E. Quillen, John Blangero and Laura Almasy

    Citation: BMC Proceedings 2016 10(Suppl 7):29

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  30. We investigate the possible replication of “known” associated single-nucleotide polymorphisms (SNPs) with blood pressure and expression phenotypes. Previous studies have provided a list of 95 SNPs thought to b...

    Authors: Richard A. J. Howey, Jakris Eu-ahsunthornwattana, Rebecca Darlay and Heather J. Cordell

    Citation: BMC Proceedings 2016 10(Suppl 7):28

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  31. Genetic association studies aim to test for disease or trait association with genetic variants, either throughout the human genome or in regions of interest. However, for most diseases and traits, the combined...

    Authors: Yen-Yi Ho, Weihua Guan, Michael O’Connell and Saonli Basu

    Citation: BMC Proceedings 2016 10(Suppl 7):26

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  32. It has been repeatedly stressed that family-based samples suffer less from genetic heterogeneity and that association analyses with family-based samples are expected to be powerful for detecting susceptibility...

    Authors: Longfei Wang, Sungkyoung Choi, Sungyoung Lee, Taesung Park and Sungho Won

    Citation: BMC Proceedings 2016 10(Suppl 7):25

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  33. Both population-based and family-based designs are commonly used in genetic association studies to identify rare variants that underlie complex diseases. For any type of study design, the statistical power wil...

    Authors: Huanhuan Zhu, Zhenchuan Wang, Xuexia Wang and Qiuying Sha

    Citation: BMC Proceedings 2016 10(Suppl 7):22

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  34. Several statistical group-based approaches have been proposed to detect effects of variation within a gene for each of the population- and family-based designs. However, unified tests to combine gene-phenotype...

    Authors: Yuriko Katsumata and David W. Fardo

    Citation: BMC Proceedings 2016 10(Suppl 7):21

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  35. The Genetic Analysis Workshops (GAW) are a forum for development, testing, and comparison of statistical genetic methods and software. Each contribution to the workshop includes an application to a specified d...

    Authors: John Blangero, Tanya M. Teslovich, Xueling Sim, Marcio A. Almeida, Goo Jun, Thomas D. Dyer, Matthew Johnson, Juan M. Peralta, Alisa Manning, Andrew R. Wood, Christian Fuchsberger, Jack W. Kent Jr, David A. Aguilar, Jennifer E. Below, Vidya S. Farook, Rector Arya…

    Citation: BMC Proceedings 2016 10(Suppl 7):20

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  36. Genetic Analysis Workshop 19 provided a platform for developing and evaluating statistical methods to analyze whole-genome sequence and gene expression data from a pedigree-based sample, as well as whole-exome...

    Authors: Corinne D. Engelman, Celia M. T. Greenwood, Julia N. Bailey, Rita M. Cantor, Jack W. Kent Jr, Inke R. König, Justo Lorenzo Bermejo, Phillip E. Melton, Stephanie A. Santorico, Arne Schillert, Ellen M. Wijsman, Jean W. MacCluer and Laura Almasy

    Citation: BMC Proceedings 2016 10(Suppl 7):19

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  37. Statistical association studies are an important tool in detecting novel disease genes. However, for sequencing data, association studies confront the challenge of low power because of relatively small data sa...

    Authors: Dongni Zhang, Hongzhu Cui, Dmitry Korkin and Zheyang Wu

    Citation: BMC Proceedings 2016 10(Suppl 7):18

    Content type: Proceedings

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    This article is part of a Supplement: Volume 10 Supplement 7

  38. We used our extension of the kernel score test to family data to analyze real and simulated baseline systolic blood pressure in extended pedigrees. We compared the power for different kernels and for different...

    Authors: Dörthe Malzahn, Stefanie Friedrichs and Heike Bickeböller

    Citation: BMC Proceedings 2016 10(Suppl 7):17

    Content type: Proceedings

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    This article is part of a Supplement: Volume 10 Supplement 7

  39. The aggregation of functionally associated variants given a priori biological information can aid in the discovery of rare variants associated with complex diseases. Many methods exist that aggregate rare vari...

    Authors: Alessandra Valcarcel, Kelsey Grinde, Kaitlyn Cook, Alden Green and Nathan Tintle

    Citation: BMC Proceedings 2016 10(Suppl 7):16

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  40. Whereas genome-wide association study (GWAS) has proven to be an important tool for discovery of variants influencing many human diseases and traits, unfortunately its performance has not been much of all-arou...

    Authors: Bamidele O. Tayo, Liping Tong and Richard S. Cooper

    Citation: BMC Proceedings 2016 10(Suppl 7):15

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  41. Large-scale sequencing studies often measure many related phenotypes in addition to the genetic variants. Joint analysis of multiple phenotypes in genetic association studies may increase power to detect disea...

    Authors: Jianping Sun, Sahir R. Bhatnagar, Karim Oualkacha, Antonio Ciampi and Celia M. T. Greenwood

    Citation: BMC Proceedings 2016 10(Suppl 7):14

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  42. Interactions between genes are an important part of the genetic architecture of complex diseases. In this paper, we use literature-guided individual genes known to be associated with type 2 diabetes (referred ...

    Authors: Adeline Lo, Michael Agne, Jonathan Auerbach, Rachel Fan, Shaw-Hwa Lo, Pei Wang and Tian Zheng

    Citation: BMC Proceedings 2016 10(Suppl 7):13

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  43. A statistical departure from Mendel’s law of segregation is known as transmission ratio distortion. Although well documented in many other organisms, the extent of transmission ratio distortion and its influen...

    Authors: Sahir R. Bhatnagar, Celia M. T. Greenwood and Aurélie Labbe

    Citation: BMC Proceedings 2016 10(Suppl 7):12

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  44. The advent of affordable sequencing has enabled researchers to discover many variants contributing to disease, including rare variants. There are methods for determining the most informative individuals for se...

    Authors: Rachel Sippy, Jill M Kolesar, Burcu F Darst and Corinne D Engelman

    Citation: BMC Proceedings 2016 10(Suppl 7):11

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  45. Pedigree genome-wide association studies (GWAS) (Option 29) in the current version of the Mendel software is an optimized subroutine for performing large-scale genome-wide quantitative trait locus (QTL) analys...

    Authors: Hua Zhou, Jin Zhou, Tao Hu, Eric M. Sobel and Kenneth Lange

    Citation: BMC Proceedings 2016 10(Suppl 7):10

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  46. With the rapidly decreasing cost of the next-generation sequencing technology, a large number of whole genome sequences have been generated, enabling researchers to survey rare variants in the protein-coding a...

    Authors: Taebeom Kim and Peng Wei

    Citation: BMC Proceedings 2016 10(Suppl 7):9

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  47. Population-based identity by descent (IBD) mapping is a statistical method for detection of genetic loci that share an ancestral segment among “unrelated” pairs of individuals for a disease. As a complementary...

    Authors: Xiao-Qing Liu, Jillian Fazio, Pingzhao Hu and Andrew D. Paterson

    Citation: BMC Proceedings 2016 10(Suppl 7):8

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

  48. In the past few years, imputation approaches have been mainly used in population-based designs of genome-wide association studies, although both family- and population-based imputation methods have been propos...

    Authors: Mohamad Saad, Alejandro Q. Nato Jr, Fiona L. Grimson, Steven M. Lewis, Lisa A. Brown, Elizabeth M. Blue, Timothy A. Thornton, Elizabeth A. Thompson and Ellen M. Wijsman

    Citation: BMC Proceedings 2016 10(Suppl 7):7

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 10 Supplement 7

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