Copyright © 2008 The American Society of Human Genetics. All rights reserved.
The American Journal of Human Genetics, Volume 82, Issue 4, 849-858, 03 April 2008
doi:10.1016/j.ajhg.2008.01.018
Article
Jessica Lasky-Su1, 2, 17,
,
, Helen N. Lyon6, 7, 8, 17, Valur Emilsson5, 14, Iris M. Heid3, 4, Cliona Molony14, Benjamin A. Raby2, Ross Lazarus2, Barbara Klanderman2, Manuel E. Soto-Quiros10, Lydiana Avila10, Edwin K. Silverman2, Gudmar Thorleifsson5, Unnur Thorsteinsdottir5, Florian Kronenberg9, Caren Vollmert3, Thomas Illig3, Caroline S. Fox11, Daniel Levy11, Nan Laird12, Xiao Ding12, Matt B. McQueen13, Johannah Butler6, 7, Kristin Ardlie7, Constantina Papoutsakis16, George Dedoussis16, Christopher J. O'Donnell11, H.-Erich Wichmann3, 4, Juan C. Celedón2, Eric Schadt14, Joel Hirschhorn6, 7, 15, Scott T. Weiss2, Kari Stefansson5 and Christoph Lange2, 12,
, 
1 SUNY Upstate Medical University, Syracuse, NY 13210, USA
2 Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
3 GSF National Research Centre for Environment and Health, Institute of Epidemiology, 85764 Neuherberg, Germany
4 Institute of Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-University, 80539 Munich, Germany
5 deCode Genetics, IS-101 Reykjavik, Iceland
6 Divisions of Genetics and Endocrinology, Program in Genomics, Children's Hospital, Boston, MA 02115, USA
7 Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
8 Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
9 Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, 6020 Innsbruck, Austria
10 Division of Pediatric Pulmonology, Hospital Nacional de Niños, PO Box 1654-1000, San José, Costa Rica
11 National Heart, Lung, and Blood Institute and its Framingham Heart Study, Framingham, MA 01702, USA
12 Harvard School of Public Health, Boston, MA 02115, USA
13 Institute for Behavioral Genetics, University of Colorado, Boulder, CO 80309, USA
14 Rosetta Inpharmatics, Seattle, WA 98109, USA
15 Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
16 Department of Nutrition and Dietetics, Harokopio University, Athens 17671, Greece
Corresponding author
Corresponding authorAbstract
The failure of researchers to replicate genetic-association findings is most commonly attributed to insufficient statistical power, population stratification, or various forms of between-study heterogeneity or environmental influences. Here, we illustrate another potential cause for nonreplications that has so far not received much attention in the literature. We illustrate that the strength of a genetic effect can vary by age, causing “age-varying associations.” If not taken into account during the design and the analysis of a study, age-varying genetic associations can cause nonreplication. By using the 100K SNP scan of the Framingham Heart Study, we identified an age-varying association between a SNP in ROBO1 and obesity and hypothesized an age-gene interaction. This finding was followed up in eight independent samples comprising 13,584 individuals. The association was replicated in five of the eight studies, showing an age-dependent relationship (one-sided combined p = 3.92 × 10−9, combined p value from pediatric cohorts = 2.21 × 10−8, combined p value from adult cohorts = 0.00422). Furthermore, this study illustrates that it is difficult for cross-sectional study designs to detect age-varying associations. If the specifics of age- or time-varying genetic effects are not considered in the selection of both the follow-up samples and in the statistical analysis, important genetic associations may be missed.
| Localization of a Susceptibility Gene for Type 2 Diabetes to Chromosome 5q34–q35.2 The American Journal of Human Genetics, Volume 73, Issue 2, 1 August 2003, Pages 323-335 Inga Reynisdottir, Gudmar Thorleifsson, Rafn Benediktsson, Gunnar Sigurdsson, Valur Emilsson, Anna Sigurlin Einarsdottir, Eyrun Edda Hjorleifsdottir, Gudbjorg Th. Orlygsdottir, Gudrun Thora Bjornsdottir, Jona Saemundsdottir, Skarphedinn Halldorsson, Soffia Hrafnkelsdottir, Steinunn Bjorg Sigurjonsdottir, Svana Steinsdottir, Mitchell Martin, Jarema P. Kochan, Brian K. Rhees, Struan F.A. Grant, Michael L. Frigge, Augustine Kong, Vilmundur Gudnason, Kari Stefansson and Jeffrey R. Gulcher Abstract We report a genomewide linkage study of type 2 diabetes (T2D [MIM 125853]) in the Icelandic population. A list of type 2 diabetics was cross-matched with a computerized genealogical database clustering 763 type 2 diabetics into 227 families. The diabetic patients and their relatives were genotyped with 906 microsatellite markers. A nonparametric multipoint linkage analysis yielded linkage to 5q34–q35.2 (LOD = 2.90, P=1.29×10−4) in all diabetics. Since obesity, here defined as body mass index (BMI) ⩾30 kg/m2, is a key risk factor for the development of T2D, we studied the data either independently of BMI or by stratifying the patient group as obese (BMI ⩾30) or nonobese (BMI <30). A nonparametric multipoint linkage analysis yielded linkage to 5q34–q35.2 (LOD = 3.64, P=2.12×10−5) in the nonobese diabetics. No linkage was observed in this region for the obese diabetics. Linkage analysis conditioning on maternal transmission to the nonobese diabetics resulted in a LOD score of 3.48 (P=3.12×10−5) in the same region, whereas conditioning on paternal transmission led to a substantial drop in the LOD score. Finally, we observed potential interactions between the 5q locus and two T2D susceptibility loci, previously mapped in other populations. Abstract | | |
| The IL12B Gene Is Associated with Asthma The American Journal of Human Genetics, Volume 75, Issue 4, 1 October 2004, Pages 709-715 Adrienne G. Randolph, Christoph Lange, Edwin K. Silverman, Ross Lazarus, Eric S. Silverman, Benjamin Raby, Alison Brown, Al Ozonoff, Brent Richter and Scott T. Weiss Abstract The IL12B gene on chromosome 5q31-33 encodes the p40 subunit of interleukin 12, an immunomodulatory cytokine. To test the hypothesis that the IL12B gene contains polymorphisms associated with asthma, we genotyped six haplotype-tagging polymorphisms in the IL12B gene, both in 708 children enrolled in the Childhood Asthma Management Program (CAMP) and in their parents. Using the family-based association test (FBAT) program and its haplotype (HBAT) and phenotype (PBAT) options, we tested each polymorphism and haplotype for association with asthma and asthma-related phenotypes. We tested positive associations for replication in a case-control study comparing 177 adult moderate-to-severe asthmatics with 177 nonasthmatic controls. In whites in the CAMP cohort, the A allele of the IL12B G4237A polymorphism was undertransmitted to asthmatic children (P=.0008, recessive model), the global test for haplotypes for affection status was positive (P=.009, multiallelic χ2), and two polymorphisms were associated with different atopy phenotypes. In addition, we found a strong association between the IL12B_4237 and IL12B_6402 polymorphisms and an asthma-severity phenotype in whites, which we also found in the independent population of white adult asthmatics. IL12B may be an important asthma gene. Abstract | | |