National Disease Research Interchange Annual Progress Report: 2010 Formula Grant

Size: px
Start display at page:

Download "National Disease Research Interchange Annual Progress Report: 2010 Formula Grant"

Transcription

1 National Disease Research Interchange Annual Progress Report: 2010 Formula Grant Reporting Period July 1, 2011 June 30, 2012 Formula Grant Overview The National Disease Research Interchange received $62,393 in formula funds for the grant award period January 1, 2011 through June 30, Accomplishments for the reporting period are described below. Research Project 1: Project Title and Purpose The Development of Diabetic Retinopathy: Going from Genetic Susceptibility to Functional Analysis - The Human Biological Data Interchange (HBDI) database is a vast repository of family and medical information focused on the study of type 1 diabetes (T1D) and its complications. Previously, our work has confirmed that genetic factors influence susceptibility to microvascular complications of diabetes. We will now test for functional gene expression differences in retinopathy-affected vs. non-retinopathy-affected diabetic retina and correlate the expression data with a) the results of case-control association studies in HBDI samples previously typed and b) the results of family-based association and linkage analysis on a candidate locus for susceptibility to retinopathy integrating newly typed HBDI family members. We will also continue our program of administering follow-up questionnaires to T1D families, allowing us to track clinical changes in T1D and complications. Anticipated Duration of Project 1/1/2011 6/30/2013 Project Overview The overall goal of this project is to identify genetic variants that lead to susceptibility or protection from the microvascular complications of diabetes (MCD). We are specifically searching for genetic variants that predispose to development of, or protection from, type 1 diabetes (T1D) complications but that are not necessarily related to T1D susceptibility. Identifying such genetic variants will allow us to predict which patients are at greatest risk for the blindness, kidney failure and nervous system disease caused by MCD, as well as determine the mechanisms by which high blood glucose leads to MCD. Our specific aims are to: 1) Plan and execute gene expression profiling comparing retinopathy-affected and non-retinopathyaffected diabetic retinas and normal retinas 2) Perform family-based linkage and association analysis to identify loci and alleles involved in MCD expression 3) Continue follow-up on identified T1D families. National Disease Research Interchange 2010 Formula Grant Page 1

2 Specific Aims: Aim 1) While SNP analysis led to the discovery of genes of potential interest, this is still only a statistical finding. Functional analysis is needed to prove the biology underlying the statistical finding and indicate the biologic pathway by which known genetic variants lead to protection from/susceptibility to retinopathy. We plan microarray gene expression profiling to identify individual genes whose expression is correlated with the retinopathy phenotype (confirming that the candidate gene found by SNP analysis plays a role in the pathway) and to identify multiple genes that are interactively involved in mediating retinopathy pathogenesis. Aim 2) Perform family-based association and linkage analysis, stratifying the data on observations such as HLA type, presence/absence of other MCDs, and specific genotypes at other loci associated with T1D, as well as identify new loci linked to MCDs. This will allow us to test for possible interaction of loci in the development of MCD. Family-based association analysis will also eliminate the possibility of biased results due to population stratification. Aim 3) Continue our annual follow-up program to track the development and progression, or lack thereof, of MCD in families over time. Principal Investigator John T. Lonsdale, PhD Research Director National Disease Research Interchange 1628 John F. Kennedy Boulevard 8 Penn Center, Suite 1500 Philadelphia, PA Other Participating Researchers Cathie Miller, PhD, Davlyn Tang, BS employed by National Disease Research Interchange Maria Cristina Monti, PhD employed by Columbia University, New York Expected Research Outcomes and Benefits The clinical and familial data contained in the HBDI database is an immense and invaluable resource for the development and testing of hypotheses regarding the genetic and environmental factors leading to susceptibility to diabetic complications. It is the complications of diabetes that eventually take the biggest toll on the lives of T1D patients. The most common complications include: 1) retinopathy of the eye which distorts vision and leads to blindness, 2) neuropathy a degenerative nerve condition that can cause excruciating pain in the extremities, decreased blood flow and even require amputation, and 3) nephropathy a serious kidney disorder that prevents proper filtering of the blood which may require dialysis or transplantation. Better ways of preventing, treating and curing diabetes will inevitably stem from a better understanding of those factors that contribute to complications. We have already demonstrated National Disease Research Interchange 2010 Formula Grant Page 2

3 that SNPs within specific genes are associated with susceptibility to development/protection of diabetic complications. The next step is to explore the functional differences in expression patterns to determine if there is a correlation with the specific genes identified through SNP analysis. The information contained in the HBDI database, coupled with newly available genetic data, provides us a unique opportunity to screen these culprit genes for specific linkage markers to complication occurrence. These studies hope to provide a mechanism for better screening, prevention and treatment of complications with the ultimate aim of reducing the heavy burden on patients and society. Summary of Research Completed Aim 1) Procurement of eyes and dissection of retinas is complete and microarray gene expression profiling is being carried out. Specimens have been recovered from 10 donors without any history of diabetes or physical evidence of retinopathy; 11 donors with diabetes but without any history or physical evidence of retinopathy and 12 donors with diabetes and with physical evidence of retinopathy Aim 2) Family recruitment: Of the HBDI ascertained families (n=427), fifteen families were excluded due to missing genotype information; thus, there were a total of 415 families available for linkage analysis. (Those designated affected had one or more complications. The unaffected had T1D and no complications.) Among all families, 50 (12%) had exactly 2 complications-affected members and 0 unaffected (T1D only) siblings, 67 (16%) had exactly one affected and one unaffected sibling. 210 families (51%) had 2 siblings unaffected and 0 affected. (The unaffected only families were used for a sib pair analysis; see below.) The remaining 88 families (21%) had either 1 sibling or more than 2 siblings with various affected-unaffected permutations. Phenotype definitions: An individual was designated as affected if he/she had T1D with onset <30 years of age and the presence of retinopathy, nephropathy and/or neuropathy. An individual was designated unaffected if he/she had T1D with onset <30 years of age and was free of complications for at least 20 years. Phenotypes definitions included any complication, meaning T1D individuals with the presence of at least one complication. We also analyzed families in which the proband had only a given complication, i.e., retinopathy alone, nephropathy alone, and neuropathy alone. For each phenotype definition, we stratified families based on the DR3 or DR4 status of the family s proband. Genotyping: A total of 5966 markers were genotyped across the genome. Genotyping was performed by the Center for Inherited Disease Research (CIDR), a division of the National Human Genome Research Institute. Linkage analysis: This was performed using logarithm of odds (LOD) score analysis. Multi-point heterogeneity LOD scores (HLOD scores) were calculated using the Genehunter program). We assumed a penetrance of 95% and a dominant mode of inheritance for the analyses reported here. We report here on our current findings in the HLA region. The HLA region, particularly the DR and DQ loci, have the strongest genetic effect on diabetes susceptibility, thereby observing whether the region also affects complications expression. National Disease Research Interchange 2010 Formula Grant Page 3

4 Linkage results on chromosome 6: When we look at the phenotype of presence of any complication, that is, either retinopathy, nephropathy and/or neuropathy could be present, we see the following linkage pattern (recall T1D patients without complications are classified as unaffected ). What is striking is that in addition to the single T1D peak over HLA, we see indications of two separate genetic influences for complications, with the rightmost peak and leftmost peak lying outside the HLA region. Note that even though the analysis penetrance was 95%, the linkage information for complications is still statistically significant for two of the peaks (Figure 1). In order to determine if there was interaction between HLA genotype status and complications risk, we stratified on the proband s HLA status, that is, we included in the analysis only families in which the proband had a particular HLA allele or genotype. We first stratified families by the presence of DR3 in the proband. We found that the height of the HLOD peak outside of the HLA region decreased, suggesting a protective effect for DR3 on complications risk (Figure 2). The signal in the HLA region decreased from 5.8 to 3.1, with a dramatic reduction in the HLA-centromeric and telomeric linkage peaks outside the HLA region as well. We saw an even greater decrease in the linkage peaks after excluding families of probands with DR3/DR4 (Figure 3). With a pure pool of DR3 positive families, (that is, with only DR3/X proband families included (X=any allele but 4)), the linkage signal for both the HLA region as well as the peaks outside the HLA region barely exceed 1. We then we ran the linkage analysis on families in which the proband was DR4 positive (which include DR3/4s). We observed a different trend (Figure 4). The linkage peak in the HLA region remained high (HLOD 5.2). There were also three additional peaks outside of the HLA region. These peaks were absent from the linkage scan seen for the DR3 positive families. Further, if we exclude the DR3/4-carrying individuals from this population of DR4 positive families (i.e., the DR3/4s) the HLODs for all four peaks remain high (Figure 5). With comparable numbers of families as those in the pure DR3 positive families (without DR3/4 heterozygotes), we retain significant HLODs and observe distinct peaks that may be involved in expression of complications. If we confine ourselves to the phenotype of retinopathy, we observe a picture similar to that for the any complication phenotype (Figure 6). Although the strength of the linkage peaks in and outside the HLA region have diminished, they remain significant. To determine if DR3 and DR4 had the same effect on retinopathy alone, we stratified families with retinopathy based on the DR3 and DR4 status of the proband, just as we did for families with any complication. For DR3 positive families with retinopathy alone, we see a pattern of linkage peaks similar to that of any complication (Figure 7). The major peak is over the HLA region, while the peak centromeric to HLA remains distinct (HLOD>2). The region distal to the HLA peak increases steadily, but it no longer appears to form a distinct peak. When we removed the DR3/4 heterozygotes so that there are no DR4 alleles in probands, we observe an almost identical pattern to the linkage scan for any complication (Figure 8). The 3 distinct peaks barely exceed National Disease Research Interchange 2010 Formula Grant Page 4

5 1. When we look only at the DR4 positive families, we see a similar pattern for the DR4 positive families as we did for the any complication classification (Figure 9). The linkage peak at the HLA locus remains significant, but 10-fold lower than what we saw for any complication. The second peak, centromeric to the HLA region, becomes the most dramatic signal for retinopathy (HLOD>4). The other two peaks remain highly suggestive of linkage. When we remove the DR3/4 heterozygotes, the pattern remains (Figure 10). The most HLA-distal of the two distal peaks remains the most distinct peak, approaching an HLOD of 3. All other peaks diminish slightly, though they remain suggestive of linkage (HLOD>2), including the HLA peak. This indicates that among DR4-positive families, there may be a region of interest that lies outside of the HLA region involved in the expression of microvascular complications, especially for retinopathy alone. Further, DR3 families may be protected from the development of complications because of the disappearance of the linkage signal both in and near the HLA region for families with a DR3 positive proband. We also performed linkage on nephropathy alone and stratified on the DR3 and DR4 status of the proband. For this phenotype, we see an entirely different linkage pattern compared to retinopathy. For nephropathy alone (unstratified), we do not see a linkage peak in the HLA region. Rather, distal to the HLA locus, there is a linkage peak with an HLOD of 1.9, suggestive of linkage (Figure 11). When we stratify on DR3 positive families, this peak remains, although the strength of the peak is diminished (Figure 12). This diminution is likely due to decreased sample size, since the numbers of families is reduced from 64 to 24, approximately two-thirds. When the DR3/DR4 heterozygotes are removed, the linkage peak remains unchanged (Figure 13). Upon stratifying by the DR4 positive families, we find no evidence for linkage at that location (Figure 14), nor does it appear when we remove the DR3/DR4 positive families (Figure 15). For neuropathy alone, we observed no evidence for linkage in either the unstratified or in the DR3 and DR4 stratified linkage analyses (data not shown). However, the sample size of these families was too small to expect a good signal. In summary: We see distinct linkage peaks for retinopathy alone and for nephropathy alone. It appears that the HLA region may be involved in the expression of retinopathy. Stratification of proband s DR status provides evidence that DR3 is protective for retinopathy. We see no evidence for the involvement of HLA in the expression of nephropathy, but rather a distinct region outside of HLA (seen in a sample of DR3 positive families) may be contributing to the expression of this complication in particular. In conclusion, these preliminary analyses suggest several new hypotheses to investigate, including the suggestion of other chromosome 6 loci that contribute to complications but not to type 1 diabetes. Aim 3) 1000 questionnaires have been sent to registry participants to continue the annual National Disease Research Interchange 2010 Formula Grant Page 5

6 program of participant follow-up using an updated family questionnaire to track development/progression or lack of development/progression of microvascular complications among patients with both T1D and T2D. Figure 1. Any complication (n=156 families) Figure 2. Any complication, DR3-positive families (n=66 families) Figure 3. Any complication DR3-positive families (no DR3/DR4 heterozygotes), (n=40 families) Figure 4. Any complication, DR4-positive families (n=62 families) National Disease Research Interchange 2010 Formula Grant Page 6

7 Figure 5. Any complication, DR4-positive families (no DR3/DR4 heterozygotes), (n=38 families) Figure 6. Retinopathy (n=145 families) Figure 7. Retinopathy, DR3-positive families (n=61 families) Figure 8. Retinopathy, DR3-positive families (no DR3/4 heterozygotes), (n=37 families) Figure 9. Retinopathy, DR4-positive families (n=59 families) Figure 10. Retinopathy, DR4-positive families (no DR3/4 heterozygotes), (n=35 families) National Disease Research Interchange 2010 Formula Grant Page 7

8 Figure 11. Nephropathy (n= 64 families) Figure 12. Nephropathy, DR3-positive families (n= 24 families) Figure 13. Nephropathy, DR3-positive families (no DR3/4 heterozygotes), (n= 15 families) Figure 14. Nephropathy, DR4-positive families (n= 21 families) National Disease Research Interchange 2010 Formula Grant Page 8

9 Figure 15. Nephropathy, DR4-positive families (no DR3/4 heterozygotes), (n= 12 families) National Disease Research Interchange 2010 Formula Grant Page 9

National Disease Research Interchange Annual Progress Report: 2010 Formula Grant

National Disease Research Interchange Annual Progress Report: 2010 Formula Grant National Disease Research Interchange Annual Progress Report: 2010 Formula Grant Reporting Period July 1, 2012 June 30, 2013 Formula Grant Overview The National Disease Research Interchange received $62,393

More information

Genetics and Genomics in Medicine Chapter 8 Questions

Genetics and Genomics in Medicine Chapter 8 Questions Genetics and Genomics in Medicine Chapter 8 Questions Linkage Analysis Question Question 8.1 Affected members of the pedigree above have an autosomal dominant disorder, and cytogenetic analyses using conventional

More information

MOLECULAR EPIDEMIOLOGY Afiono Agung Prasetyo Faculty of Medicine Sebelas Maret University Indonesia

MOLECULAR EPIDEMIOLOGY Afiono Agung Prasetyo Faculty of Medicine Sebelas Maret University Indonesia MOLECULAR EPIDEMIOLOGY GENERAL EPIDEMIOLOGY General epidemiology is the scientific basis of public health Descriptive epidemiology: distribution of disease in populations Incidence and prevalence rates

More information

Effects of Stratification in the Analysis of Affected-Sib-Pair Data: Benefits and Costs

Effects of Stratification in the Analysis of Affected-Sib-Pair Data: Benefits and Costs Am. J. Hum. Genet. 66:567 575, 2000 Effects of Stratification in the Analysis of Affected-Sib-Pair Data: Benefits and Costs Suzanne M. Leal and Jurg Ott Laboratory of Statistical Genetics, The Rockefeller

More information

Nonparametric Linkage Analysis. Nonparametric Linkage Analysis

Nonparametric Linkage Analysis. Nonparametric Linkage Analysis Limitations of Parametric Linkage Analysis We previously discued parametric linkage analysis Genetic model for the disease must be specified: allele frequency parameters and penetrance parameters Lod scores

More information

Introduction to linkage and family based designs to study the genetic epidemiology of complex traits. Harold Snieder

Introduction to linkage and family based designs to study the genetic epidemiology of complex traits. Harold Snieder Introduction to linkage and family based designs to study the genetic epidemiology of complex traits Harold Snieder Overview of presentation Designs: population vs. family based Mendelian vs. complex diseases/traits

More information

Dan Koller, Ph.D. Medical and Molecular Genetics

Dan Koller, Ph.D. Medical and Molecular Genetics Design of Genetic Studies Dan Koller, Ph.D. Research Assistant Professor Medical and Molecular Genetics Genetics and Medicine Over the past decade, advances from genetics have permeated medicine Identification

More information

Linkage analysis: Prostate Cancer

Linkage analysis: Prostate Cancer Linkage analysis: Prostate Cancer Prostate Cancer It is the most frequent cancer (after nonmelanoma skin cancer) In 2005, more than 232.000 new cases were diagnosed in USA and more than 30.000 will die

More information

Problem set questions from Final Exam Human Genetics, Nondisjunction, and Cancer

Problem set questions from Final Exam Human Genetics, Nondisjunction, and Cancer Problem set questions from Final Exam Human Genetics, Nondisjunction, and ancer Mapping in humans using SSRs and LOD scores 1. You set out to genetically map the locus for color blindness with respect

More information

Genetics of B27-associated diseases 1

Genetics of B27-associated diseases 1 Ann. rheum. Dis. (1979), 38, Supplement p. 135 Genetics of B27-associated diseases 1 J. C. WOODROW From the Department of Medicine, University of Liverpool, Liverpool The genetic analysis of those conditions

More information

GENETIC LINKAGE ANALYSIS

GENETIC LINKAGE ANALYSIS Atlas of Genetics and Cytogenetics in Oncology and Haematology GENETIC LINKAGE ANALYSIS * I- Recombination fraction II- Definition of the "lod score" of a family III- Test for linkage IV- Estimation of

More information

Nature Genetics: doi: /ng Supplementary Figure 1

Nature Genetics: doi: /ng Supplementary Figure 1 Supplementary Figure 1 Illustrative example of ptdt using height The expected value of a child s polygenic risk score (PRS) for a trait is the average of maternal and paternal PRS values. For example,

More information

Supplementary note: Comparison of deletion variants identified in this study and four earlier studies

Supplementary note: Comparison of deletion variants identified in this study and four earlier studies Supplementary note: Comparison of deletion variants identified in this study and four earlier studies Here we compare the results of this study to potentially overlapping results from four earlier studies

More information

Stat 531 Statistical Genetics I Homework 4

Stat 531 Statistical Genetics I Homework 4 Stat 531 Statistical Genetics I Homework 4 Erik Erhardt November 17, 2004 1 Duerr et al. report an association between a particular locus on chromosome 12, D12S1724, and in ammatory bowel disease (Am.

More information

CS2220 Introduction to Computational Biology

CS2220 Introduction to Computational Biology CS2220 Introduction to Computational Biology WEEK 8: GENOME-WIDE ASSOCIATION STUDIES (GWAS) 1 Dr. Mengling FENG Institute for Infocomm Research Massachusetts Institute of Technology mfeng@mit.edu PLANS

More information

Non-Mendelian inheritance

Non-Mendelian inheritance Non-Mendelian inheritance Focus on Human Disorders Peter K. Rogan, Ph.D. Laboratory of Human Molecular Genetics Children s Mercy Hospital Schools of Medicine & Computer Science and Engineering University

More information

Association mapping (qualitative) Association scan, quantitative. Office hours Wednesday 3-4pm 304A Stanley Hall. Association scan, qualitative

Association mapping (qualitative) Association scan, quantitative. Office hours Wednesday 3-4pm 304A Stanley Hall. Association scan, qualitative Association mapping (qualitative) Office hours Wednesday 3-4pm 304A Stanley Hall Fig. 11.26 Association scan, qualitative Association scan, quantitative osteoarthritis controls χ 2 test C s G s 141 47

More information

AD (Leave blank) TITLE: Genomic Characterization of Brain Metastasis in Non-Small Cell Lung Cancer Patients

AD (Leave blank) TITLE: Genomic Characterization of Brain Metastasis in Non-Small Cell Lung Cancer Patients AD (Leave blank) Award Number: W81XWH-12-1-0444 TITLE: Genomic Characterization of Brain Metastasis in Non-Small Cell Lung Cancer Patients PRINCIPAL INVESTIGATOR: Mark A. Watson, MD PhD CONTRACTING ORGANIZATION:

More information

National Surgical Adjuvant Breast and Bowel Project (NSABP) Foundation Annual Progress Report: 2011 Formula Grant

National Surgical Adjuvant Breast and Bowel Project (NSABP) Foundation Annual Progress Report: 2011 Formula Grant National Surgical Adjuvant Breast and Bowel Project (NSABP) Foundation Annual Progress Report: 2011 Formula Grant Reporting Period July 1, 2012 June 30, 2013 Formula Grant Overview The NSABP Foundation

More information

Human Genetics 542 Winter 2018 Syllabus

Human Genetics 542 Winter 2018 Syllabus Human Genetics 542 Winter 2018 Syllabus Monday, Wednesday, and Friday 9 10 a.m. 5915 Buhl Course Director: Tony Antonellis Jan 3 rd Wed Mapping disease genes I: inheritance patterns and linkage analysis

More information

Nature Genetics: doi: /ng Supplementary Figure 1. PCA for ancestry in SNV data.

Nature Genetics: doi: /ng Supplementary Figure 1. PCA for ancestry in SNV data. Supplementary Figure 1 PCA for ancestry in SNV data. (a) EIGENSTRAT principal-component analysis (PCA) of SNV genotype data on all samples. (b) PCA of only proband SNV genotype data. (c) PCA of SNV genotype

More information

Tutorial on Genome-Wide Association Studies

Tutorial on Genome-Wide Association Studies Tutorial on Genome-Wide Association Studies Assistant Professor Institute for Computational Biology Department of Epidemiology and Biostatistics Case Western Reserve University Acknowledgements Dana Crawford

More information

TITLE: New Advanced Technology to Improve Prediction and Prevention of Type 1 Diabetes

TITLE: New Advanced Technology to Improve Prediction and Prevention of Type 1 Diabetes AD Award Number: DAMD17-01-1-0009 TITLE: New Advanced Technology to Improve Prediction and Prevention of Type 1 Diabetes PRINCIPAL INVESTIGATOR: Robert A. Vigersky CONTRACTING ORGANIZATION: Children s

More information

Human Genetics 542 Winter 2017 Syllabus

Human Genetics 542 Winter 2017 Syllabus Human Genetics 542 Winter 2017 Syllabus Monday, Wednesday, and Friday 9 10 a.m. 5915 Buhl Course Director: Tony Antonellis Module I: Mapping and characterizing simple genetic diseases Jan 4 th Wed Mapping

More information

Problem 3: Simulated Rheumatoid Arthritis Data

Problem 3: Simulated Rheumatoid Arthritis Data Problem 3: Simulated Rheumatoid Arthritis Data Michael B Miller Michael Li Gregg Lind Soon-Young Jang The plan

More information

GENOME-WIDE ASSOCIATION STUDIES

GENOME-WIDE ASSOCIATION STUDIES GENOME-WIDE ASSOCIATION STUDIES SUCCESSES AND PITFALLS IBT 2012 Human Genetics & Molecular Medicine Zané Lombard IDENTIFYING DISEASE GENES??? Nature, 15 Feb 2001 Science, 16 Feb 2001 IDENTIFYING DISEASE

More information

HLA and antigen presentation. Department of Immunology Charles University, 2nd Medical School University Hospital Motol

HLA and antigen presentation. Department of Immunology Charles University, 2nd Medical School University Hospital Motol HLA and antigen presentation Department of Immunology Charles University, 2nd Medical School University Hospital Motol MHC in adaptive immunity Characteristics Specificity Innate For structures shared

More information

Alzheimer Disease and Complex Segregation Analysis p.1/29

Alzheimer Disease and Complex Segregation Analysis p.1/29 Alzheimer Disease and Complex Segregation Analysis Amanda Halladay Dalhousie University Alzheimer Disease and Complex Segregation Analysis p.1/29 Outline Background Information on Alzheimer Disease Alzheimer

More information

An Introduction to Quantitative Genetics I. Heather A Lawson Advanced Genetics Spring2018

An Introduction to Quantitative Genetics I. Heather A Lawson Advanced Genetics Spring2018 An Introduction to Quantitative Genetics I Heather A Lawson Advanced Genetics Spring2018 Outline What is Quantitative Genetics? Genotypic Values and Genetic Effects Heritability Linkage Disequilibrium

More information

Results. Introduction

Results. Introduction (2009) 10, S95 S120 & 2009 Macmillan Publishers Limited All rights reserved 1466-4879/09 $32.00 www.nature.com/gene ORIGINAL ARTICLE Analysis of 55 autoimmune disease and type II diabetes loci: further

More information

Lecture 6: Linkage analysis in medical genetics

Lecture 6: Linkage analysis in medical genetics Lecture 6: Linkage analysis in medical genetics Magnus Dehli Vigeland NORBIS course, 8 th 12 th of January 2018, Oslo Approaches to genetic mapping of disease Multifactorial disease Monogenic disease Syke

More information

Indian Journal of Nephrology Indian J Nephrol 2001;11: 88-97

Indian Journal of Nephrology Indian J Nephrol 2001;11: 88-97 88 Indian Journal of Nephrology Indian J Nephrol 2001;11: 88-97 ARTICLE HLA gene and haplotype frequency in renal transplant recipients and donors of Uttar Pradesh (North India) S Agrawal, AK Singh, RK

More information

Mendelian Inheritance. Jurg Ott Columbia and Rockefeller Universities New York

Mendelian Inheritance. Jurg Ott Columbia and Rockefeller Universities New York Mendelian Inheritance Jurg Ott Columbia and Rockefeller Universities New York Genes Mendelian Inheritance Gregor Mendel, monk in a monastery in Brünn (now Brno in Czech Republic): Breeding experiments

More information

Combined Analysis of Hereditary Prostate Cancer Linkage to 1q24-25

Combined Analysis of Hereditary Prostate Cancer Linkage to 1q24-25 Am. J. Hum. Genet. 66:945 957, 000 Combined Analysis of Hereditary Prostate Cancer Linkage to 1q4-5: Results from 77 Hereditary Prostate Cancer Families from the International Consortium for Prostate Cancer

More information

September 20, Submitted electronically to: Cc: To Whom It May Concern:

September 20, Submitted electronically to: Cc: To Whom It May Concern: History Study (NOT-HL-12-147), p. 1 September 20, 2012 Re: Request for Information (RFI): Building a National Resource to Study Myelodysplastic Syndromes (MDS) The MDS Cohort Natural History Study (NOT-HL-12-147).

More information

Single Gene (Monogenic) Disorders. Mendelian Inheritance: Definitions. Mendelian Inheritance: Definitions

Single Gene (Monogenic) Disorders. Mendelian Inheritance: Definitions. Mendelian Inheritance: Definitions Single Gene (Monogenic) Disorders Mendelian Inheritance: Definitions A genetic locus is a specific position or location on a chromosome. Frequently, locus is used to refer to a specific gene. Alleles are

More information

For more information about how to cite these materials visit

For more information about how to cite these materials visit Author(s): Kerby Shedden, Ph.D., 2010 License: Unless otherwise noted, this material is made available under the terms of the Creative Commons Attribution Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/

More information

2) Cases and controls were genotyped on different platforms. The comparability of the platforms should be discussed.

2) Cases and controls were genotyped on different platforms. The comparability of the platforms should be discussed. Reviewers' Comments: Reviewer #1 (Remarks to the Author) The manuscript titled 'Association of variations in HLA-class II and other loci with susceptibility to lung adenocarcinoma with EGFR mutation' evaluated

More information

Two copies of each autosomal gene affect phenotype.

Two copies of each autosomal gene affect phenotype. UNIT 3 GENETICS LESSON #34: Chromosomes and Phenotype Objective: Explain how the chromosomes on which genes are located can affect the expression of traits. Take a moment to look at the variety of treats

More information

BST227 Introduction to Statistical Genetics. Lecture 4: Introduction to linkage and association analysis

BST227 Introduction to Statistical Genetics. Lecture 4: Introduction to linkage and association analysis BST227 Introduction to Statistical Genetics Lecture 4: Introduction to linkage and association analysis 1 Housekeeping Homework #1 due today Homework #2 posted (due Monday) Lab at 5:30PM today (FXB G13)

More information

Genome-wide Association Analysis Applied to Asthma-Susceptibility Gene. McCaw, Z., Wu, W., Hsiao, S., McKhann, A., Tracy, S.

Genome-wide Association Analysis Applied to Asthma-Susceptibility Gene. McCaw, Z., Wu, W., Hsiao, S., McKhann, A., Tracy, S. Genome-wide Association Analysis Applied to Asthma-Susceptibility Gene McCaw, Z., Wu, W., Hsiao, S., McKhann, A., Tracy, S. December 17, 2014 1 Introduction Asthma is a chronic respiratory disease affecting

More information

Exam #2 BSC Fall. NAME_Key correct answers in BOLD FORM A

Exam #2 BSC Fall. NAME_Key correct answers in BOLD FORM A Exam #2 BSC 2011 2004 Fall NAME_Key correct answers in BOLD FORM A Before you begin, please write your name and social security number on the computerized score sheet. Mark in the corresponding bubbles

More information

MULTIFACTORIAL DISEASES. MG L-10 July 7 th 2014

MULTIFACTORIAL DISEASES. MG L-10 July 7 th 2014 MULTIFACTORIAL DISEASES MG L-10 July 7 th 2014 Genetic Diseases Unifactorial Chromosomal Multifactorial AD Numerical AR Structural X-linked Microdeletions Mitochondrial Spectrum of Alterations in DNA Sequence

More information

Complex Multifactorial Genetic Diseases

Complex Multifactorial Genetic Diseases Complex Multifactorial Genetic Diseases Nicola J Camp, University of Utah, Utah, USA Aruna Bansal, University of Utah, Utah, USA Secondary article Article Contents. Introduction. Continuous Variation.

More information

HLA TYPING AND EXPRESSION: POTENTIAL MARKER FOR IDENTIFYING EARLY DYSPLASIA AND STRATIFYING THE RISK FOR IBD-CANCER

HLA TYPING AND EXPRESSION: POTENTIAL MARKER FOR IDENTIFYING EARLY DYSPLASIA AND STRATIFYING THE RISK FOR IBD-CANCER HLA TYPING AND EXPRESSION: POTENTIAL MARKER FOR IDENTIFYING EARLY DYSPLASIA AND STRATIFYING THE RISK FOR IBD-CANCER Megan Garrity, S. Breanndan Moore, M.D., William Sandborn, M.D., Vernon Pankratz, Ph.D.,

More information

Chapter 10 Notes Patterns of Inheritance, Part 1

Chapter 10 Notes Patterns of Inheritance, Part 1 Chapter 10 Notes Patterns of Inheritance, Part 1 I. Gregor Mendel (1822-1884) a. Austrian monk with a scientific background b. Conducted numerous hybridization experiments with the garden pea, Pisum sativum,

More information

22q11.2 DELETION SYNDROME. Anna Mª Cueto González Clinical Geneticist Programa de Medicina Molecular y Genética Hospital Vall d Hebrón (Barcelona)

22q11.2 DELETION SYNDROME. Anna Mª Cueto González Clinical Geneticist Programa de Medicina Molecular y Genética Hospital Vall d Hebrón (Barcelona) 22q11.2 DELETION SYNDROME Anna Mª Cueto González Clinical Geneticist Programa de Medicina Molecular y Genética Hospital Vall d Hebrón (Barcelona) Genomic disorders GENOMICS DISORDERS refers to those diseases

More information

Pedigree Analysis Why do Pedigrees? Goals of Pedigree Analysis Basic Symbols More Symbols Y-Linked Inheritance

Pedigree Analysis Why do Pedigrees? Goals of Pedigree Analysis Basic Symbols More Symbols Y-Linked Inheritance Pedigree Analysis Why do Pedigrees? Punnett squares and chi-square tests work well for organisms that have large numbers of offspring and controlled mating, but humans are quite different: Small families.

More information

Chapter 4 PEDIGREE ANALYSIS IN HUMAN GENETICS

Chapter 4 PEDIGREE ANALYSIS IN HUMAN GENETICS Chapter 4 PEDIGREE ANALYSIS IN HUMAN GENETICS Chapter Summary In order to study the transmission of human genetic traits to the next generation, a different method of operation had to be adopted. Instead

More information

IS IT GENETIC? How do genes, environment and chance interact to specify a complex trait such as intelligence?

IS IT GENETIC? How do genes, environment and chance interact to specify a complex trait such as intelligence? 1 IS IT GENETIC? How do genes, environment and chance interact to specify a complex trait such as intelligence? Single-gene (monogenic) traits Phenotypic variation is typically discrete (often comparing

More information

Non-parametric methods for linkage analysis

Non-parametric methods for linkage analysis BIOSTT516 Statistical Methods in Genetic Epidemiology utumn 005 Non-parametric methods for linkage analysis To this point, we have discussed model-based linkage analyses. These require one to specify a

More information

Chapter 2. Linkage Analysis. JenniferH.BarrettandM.DawnTeare. Abstract. 1. Introduction

Chapter 2. Linkage Analysis. JenniferH.BarrettandM.DawnTeare. Abstract. 1. Introduction Chapter 2 Linkage Analysis JenniferH.BarrettandM.DawnTeare Abstract Linkage analysis is used to map genetic loci using observations on relatives. It can be applied to both major gene disorders (parametric

More information

Your Vocabulary words-- write into your journal:

Your Vocabulary words-- write into your journal: HUMAN INHERITANCE Your Vocabulary words-- write into your journal: 1. Multiple alleles: three or more forms of a gene that code for a single trait. 2. Sex chromosomes: these carry genes that determine

More information

A COMPREHENSIVE REPORT ISSUED BY THE AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS IN PARTNERSHIP WITH:

A COMPREHENSIVE REPORT ISSUED BY THE AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS IN PARTNERSHIP WITH: A COMPREHENSIVE REPORT ISSUED BY THE AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS IN PARTNERSHIP WITH: Amputee Coalition of America Mended Hearts National Federation of the Blind National Kidney Foundation

More information

Multifactorial Inheritance. Prof. Dr. Nedime Serakinci

Multifactorial Inheritance. Prof. Dr. Nedime Serakinci Multifactorial Inheritance Prof. Dr. Nedime Serakinci GENETICS I. Importance of genetics. Genetic terminology. I. Mendelian Genetics, Mendel s Laws (Law of Segregation, Law of Independent Assortment).

More information

IB BIO I Genetics Test Madden

IB BIO I Genetics Test Madden Name Date Multiple Choice 1. What does the genotype X H X h indicate? A. A co-dominant female B. A heterozygous male C. A heterozygous female D. A co-dominant male 2. A pure breeding tall plant with smooth

More information

DOES THE BRCAX GENE EXIST? FUTURE OUTLOOK

DOES THE BRCAX GENE EXIST? FUTURE OUTLOOK CHAPTER 6 DOES THE BRCAX GENE EXIST? FUTURE OUTLOOK Genetic research aimed at the identification of new breast cancer susceptibility genes is at an interesting crossroad. On the one hand, the existence

More information

Genetics and the prevention of CAD

Genetics and the prevention of CAD Genetics and the prevention of CAD Presented by: Robert Roberts, MD, FRCPC, MACC, FAHA, FRSC Professor and Departmental Chair ISCTR University of Arizona College of Medicine Phoenix Past President and

More information

Genetics Mutations 2 Teacher s Guide

Genetics Mutations 2 Teacher s Guide Genetics Mutations 2 Teacher s Guide 1.0 Summary Mutations II is an extension activity, which reviews and enhances the previous Core activities. We recommend that it follow Mutations and X-Linkage. This

More information

The Foundations of Personalized Medicine

The Foundations of Personalized Medicine The Foundations of Personalized Medicine Jeremy M. Berg Pittsburgh Foundation Professor and Director, Institute for Personalized Medicine University of Pittsburgh Personalized Medicine Physicians have

More information

Diabetologia. Originals. Will a three-allele model of inheritance explain the HLA data for Type 1 (insulin-dependent) diabetes? D. A.

Diabetologia. Originals. Will a three-allele model of inheritance explain the HLA data for Type 1 (insulin-dependent) diabetes? D. A. Diabetologia (1985) 28:122-127 Diabetologia 9 Springer-Verlag 1985 Originals Will a three-allele model of inheritance explain the HLA data for Type 1 (insulin-dependent) diabetes? D. A. Greenberg Wadsworth

More information

Diabetic Microvascular Complications: Novel Risk Factors, Biomarkers, and Risk Prediction Models.

Diabetic Microvascular Complications: Novel Risk Factors, Biomarkers, and Risk Prediction Models. Diabetic Microvascular Complications: Novel Risk Factors, Biomarkers, and Risk Prediction Models. McKay, G. J., Teo, B. W., Zheng, Y-F., Sambamoorthi, U., & Sabanayagam, C. (2016). Diabetic Microvascular

More information

Mendel s Methods: Monohybrid Cross

Mendel s Methods: Monohybrid Cross Mendel s Methods: Monohybrid Cross Mendel investigated whether the white-flowered form disappeared entirely by breeding the F1 purple flowers with each other. Crossing two purple F1 monohybrid plants is

More information

Role of NMDP Repository in the Evolution of HLA Matching and Typing for Unrelated Donor HCT

Role of NMDP Repository in the Evolution of HLA Matching and Typing for Unrelated Donor HCT Role of NMDP Repository in the Evolution of HLA Matching and Typing for Unrelated Donor HCT Stephen Spellman, MBS Director, Immunobiology and Observational Research Assistant Scientific Director CIBMTR,

More information

Documentation of Changes to EFI Standards: v 5.6.1

Documentation of Changes to EFI Standards: v 5.6.1 Modified Standard B - PERSONNEL QUALIFICATIONS B1.000 The laboratory must employ one or more individuals who meet the qualifications and fulfil the responsibilities of the Director/Co-Director, Technical

More information

Linkage Analyses at the Chromosome 1 Loci 1q24-25 (HPC1), 1q (PCAP), and 1p36 (CAPB) in Families with Hereditary Prostate Cancer

Linkage Analyses at the Chromosome 1 Loci 1q24-25 (HPC1), 1q (PCAP), and 1p36 (CAPB) in Families with Hereditary Prostate Cancer Am. J. Hum. Genet. 66:539 546, 2000 Linkage Analyses at the Chromosome 1 Loci 1q24-25 (HPC1), 1q42.2-43 (PCAP), and 1p36 (CAPB) in Families with Hereditary Prostate Cancer Rebecca Berry, 1,* Daniel J.

More information

SUMMARY Coeliac disease is a common food intolerance in Western populations, in which it has a prevalence of about 1%. In early infancy, when the transition is made to a gluten-containing diet (particularly

More information

Human Inheritance Lesson 4

Human Inheritance Lesson 4 Human Inheritance Lesson 4 May 10 6:55 PM What are some patterns of human inheritance? What are the functions of the sex chromosomes? May 10 6:56 PM 1 I. What are some patterns of human inheritance A.

More information

Imaging Genetics: Heritability, Linkage & Association

Imaging Genetics: Heritability, Linkage & Association Imaging Genetics: Heritability, Linkage & Association David C. Glahn, PhD Olin Neuropsychiatry Research Center & Department of Psychiatry, Yale University July 17, 2011 Memory Activation & APOE ε4 Risk

More information

Pondering Epilepsy Classification (actually a few thoughts on the impact of genetic analyses of the epilepsies) Genetics of Epilepsies

Pondering Epilepsy Classification (actually a few thoughts on the impact of genetic analyses of the epilepsies) Genetics of Epilepsies Pondering Epilepsy Classification (actually a few thoughts on the impact of genetic analyses of the epilepsies) Dan Lowenstein UCSF Department of Neurology and the UCSF Epilepsy Center To Cover: 1. Update

More information

Genes and Inheritance

Genes and Inheritance Genes and Inheritance Variation Causes of Variation Variation No two people are exactly the same The differences between people is called VARIATION. This variation comes from two sources: Genetic cause

More information

DIVISION OF NEPHROLOGY

DIVISION OF NEPHROLOGY The Division s funding from the NIH has increased from $3.7 Million in 2001 to over $11 Million in 2006. DIVISION OF NEPHROLOGY DR. BARBARA MURPHY was voted President-Elect of the American Society of Transplantation

More information

Introduction to the Genetics of Complex Disease

Introduction to the Genetics of Complex Disease Introduction to the Genetics of Complex Disease Jeremiah M. Scharf, MD, PhD Departments of Neurology, Psychiatry and Center for Human Genetic Research Massachusetts General Hospital Breakthroughs in Genome

More information

HLA and antigen presentation. Department of Immunology Charles University, 2nd Medical School University Hospital Motol

HLA and antigen presentation. Department of Immunology Charles University, 2nd Medical School University Hospital Motol HLA and antigen presentation Department of Immunology Charles University, 2nd Medical School University Hospital Motol MHC in adaptive immunity Characteristics Specificity Innate For structures shared

More information

Diabetes and Kidney Disease: Time to Act. Your Guide to Diabetes and Kidney Disease

Diabetes and Kidney Disease: Time to Act. Your Guide to Diabetes and Kidney Disease Diabetes and Kidney Disease: Time to Act Your Guide to Diabetes and Kidney Disease Diabetes is fast becoming a world epidemic Diabetes is reaching epidemic proportions worldwide. Every year more people

More information

9/25/ Some traits are controlled by a single gene. Selective Breeding: Observing Heredity

9/25/ Some traits are controlled by a single gene. Selective Breeding: Observing Heredity Chapter 7 Learning Outcomes Explain the concept of a single-gene trait Describe Mendel s contributions to the field of genetics Be able to define the terms gene, allele, dominant, recessive, homozygous,

More information

HST.161 Molecular Biology and Genetics in Modern Medicine Fall 2007

HST.161 Molecular Biology and Genetics in Modern Medicine Fall 2007 MIT OpenCourseWare http://ocw.mit.edu HST.161 Molecular Biology and Genetics in Modern Medicine Fall 2007 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.

More information

Inheritance. Children inherit traits from both parents.

Inheritance. Children inherit traits from both parents. Have you ever been told you have your mother s eyes or your father s smile? Have you ever noticed you share your grandfather s eye color or possibly your grandmother s curly hair, and yet your parents

More information

Sex stratification of an inflammatory bowel disease genome search shows male-specific linkage to the HLA region of chromosome 6

Sex stratification of an inflammatory bowel disease genome search shows male-specific linkage to the HLA region of chromosome 6 (2002) 10, 259 ± 265 ã 2002 Nature Publishing Group All rights reserved 1018-4813/02 $25.00 www.nature.com/ejhg ARTICLE Sex stratification of an inflammatory bowel disease genome search shows male-specific

More information

ARTICLE Identification of Susceptibility Genes for Cancer in a Genome-wide Scan: Results from the Colon Neoplasia Sibling Study

ARTICLE Identification of Susceptibility Genes for Cancer in a Genome-wide Scan: Results from the Colon Neoplasia Sibling Study ARTICLE Identification of Susceptibility Genes for Cancer in a Genome-wide Scan: Results from the Colon Neoplasia Sibling Study Denise Daley, 1,9, * Susan Lewis, 2 Petra Platzer, 3,8 Melissa MacMillen,

More information

Proposal form for the evaluation of a genetic test for NHS Service Gene Dossier

Proposal form for the evaluation of a genetic test for NHS Service Gene Dossier Proposal form for the evaluation of a genetic test for NHS Service Gene Dossier Test Disease Population Triad Disease name Leber congenital amaurosis OMIM number for disease 204000 Disease alternative

More information

Genetics: field of biology that studies heredity, or the passing of traits from parents to offspring Trait: an inherited characteristic, such as eye

Genetics: field of biology that studies heredity, or the passing of traits from parents to offspring Trait: an inherited characteristic, such as eye Genetics: field of biology that studies heredity, or the passing of traits from parents to offspring Trait: an inherited characteristic, such as eye colour or hair colour Gregor Mendel discovered how traits

More information

Specimen Collection Requirements. Test Name Specimen Type Storage Time Storage Conditions

Specimen Collection Requirements. Test Name Specimen Type Storage Time Storage Conditions 1 Specimen Collection Requirements PURPOSE/PRINCIPLE: To outline proper specimen collection for molecular HLA testing, including tube type, minimum specimen amount, proper tube and requisition labeling,

More information

PROGRESS: Beginning to Understand the Genetic Predisposition to PSC

PROGRESS: Beginning to Understand the Genetic Predisposition to PSC PROGRESS: Beginning to Understand the Genetic Predisposition to PSC Konstantinos N. Lazaridis, MD Associate Professor of Medicine Division of Gastroenterology and Hepatology Associate Director Center for

More information

Section 8.1 Studying inheritance

Section 8.1 Studying inheritance Section 8.1 Studying inheritance Genotype and phenotype Genotype is the genetic constitution of an organism that describes all the alleles that an organism contains The genotype sets the limits to which

More information

Proposal form for the evaluation of a genetic test for NHS Service Gene Dossier

Proposal form for the evaluation of a genetic test for NHS Service Gene Dossier Proposal form for the evaluation of a genetic test for NHS Service Gene Dossier Test Disease Population Triad Disease name Choroideremia OMIM number for disease 303100 Disease alternative names please

More information

Precision Medicine and Genetic Counseling : Is Yes always the correct answer?

Precision Medicine and Genetic Counseling : Is Yes always the correct answer? Precision Medicine and Genetic Counseling : Is Yes always the correct answer? Beverly M. Yashar, MS, PhD, CGC Director, Graduate Program in Genetic Counseling Professor, Department of Human Genetics. (yashar@umich.edu)

More information

Tumor suppressor genes D R. S H O S S E I N I - A S L

Tumor suppressor genes D R. S H O S S E I N I - A S L Tumor suppressor genes 1 D R. S H O S S E I N I - A S L What is a Tumor Suppressor Gene? 2 A tumor suppressor gene is a type of cancer gene that is created by loss-of function mutations. In contrast to

More information

New Enhancements: GWAS Workflows with SVS

New Enhancements: GWAS Workflows with SVS New Enhancements: GWAS Workflows with SVS August 9 th, 2017 Gabe Rudy VP Product & Engineering 20 most promising Biotech Technology Providers Top 10 Analytics Solution Providers Hype Cycle for Life sciences

More information

PopGen4: Assortative mating

PopGen4: Assortative mating opgen4: Assortative mating Introduction Although random mating is the most important system of mating in many natural populations, non-random mating can also be an important mating system in some populations.

More information

PREPARED FOR: U.S. Army Medical Research and Materiel Command Fort Detrick, Maryland

PREPARED FOR: U.S. Army Medical Research and Materiel Command Fort Detrick, Maryland AD Award Number: DAMD17-01-1-0112 TITLE: Genetic Epidemiology of Prostate Cancer PRINCIPAL INVESTIGATOR: Susan L. Neuhausen, Ph.D. CONTRACTING ORGANIZATION: University of California, Irvine Irvine, California

More information

Title: SECTION 7.0 NZBMDR STANDARDS PROCESS FOR DONOR IDENTIFICATION

Title: SECTION 7.0 NZBMDR STANDARDS PROCESS FOR DONOR IDENTIFICATION Title: SECTION 7.0 NZBMDR STANDARDS PROCESS FOR DONOR IDENTIFICATION Authorised by: Executive Officer Contributing Authors: ABMDR Scientific Expert Advisory Committee Sally Gordon Dr Hilary Blacklock Raewyn

More information

REFERENCE CODE GDHCER052 PUBLICAT ION DATE NOVEMBER 2013 DIABETIC NEPHROPATHY - EPIDEMIOLOGY FORECAST TO 2022

REFERENCE CODE GDHCER052 PUBLICAT ION DATE NOVEMBER 2013 DIABETIC NEPHROPATHY - EPIDEMIOLOGY FORECAST TO 2022 REFERENCE CODE GDHCER052 PUBLICAT ION DATE NOVEMBER 2013 DIABETIC NEPHROPATHY - Executive Summary Diabetic nephropathy is one of the microvascular complications of diabetes, along with diabetic neuropathy

More information

B-4.7 Summarize the chromosome theory of inheritance and relate that theory to Gregor Mendel s principles of genetics

B-4.7 Summarize the chromosome theory of inheritance and relate that theory to Gregor Mendel s principles of genetics B-4.7 Summarize the chromosome theory of inheritance and relate that theory to Gregor Mendel s principles of genetics The Chromosome theory of inheritance is a basic principle in biology that states genes

More information

Mapping of genes causing dyslexia susceptibility Clyde Francks Wellcome Trust Centre for Human Genetics University of Oxford Trinity 2001

Mapping of genes causing dyslexia susceptibility Clyde Francks Wellcome Trust Centre for Human Genetics University of Oxford Trinity 2001 Mapping of genes causing dyslexia susceptibility Clyde Francks Wellcome Trust Centre for Human Genetics University of Oxford Trinity 2001 Thesis submitted for the degree of Doctor of Philosophy Mapping

More information

Ascertainment Through Family History of Disease Often Decreases the Power of Family-based Association Studies

Ascertainment Through Family History of Disease Often Decreases the Power of Family-based Association Studies Behav Genet (2007) 37:631 636 DOI 17/s10519-007-9149-0 ORIGINAL PAPER Ascertainment Through Family History of Disease Often Decreases the Power of Family-based Association Studies Manuel A. R. Ferreira

More information

Genome Scan Meta-Analysis of Schizophrenia and Bipolar Disorder, Part I: Methods and Power Analysis

Genome Scan Meta-Analysis of Schizophrenia and Bipolar Disorder, Part I: Methods and Power Analysis Am. J. Hum. Genet. 73:17 33, 2003 Genome Scan Meta-Analysis of Schizophrenia and Bipolar Disorder, Part I: Methods and Power Analysis Douglas F. Levinson, 1 Matthew D. Levinson, 1 Ricardo Segurado, 2 and

More information

Genetics of common disorders with complex inheritance Bettina Blaumeiser MD PhD

Genetics of common disorders with complex inheritance Bettina Blaumeiser MD PhD Genetics of common disorders with complex inheritance Bettina Blaumeiser MD PhD Medical Genetics University Hospital & University of Antwerp Programme Day 6: Genetics of common disorders with complex inheritance

More information

Role of Genomics in Selection of Beef Cattle for Healthfulness Characteristics

Role of Genomics in Selection of Beef Cattle for Healthfulness Characteristics Role of Genomics in Selection of Beef Cattle for Healthfulness Characteristics Dorian Garrick dorian@iastate.edu Iowa State University & National Beef Cattle Evaluation Consortium Selection and Prediction

More information

Pedigree Analysis. A = the trait (a genetic disease or abnormality, dominant) a = normal (recessive)

Pedigree Analysis. A = the trait (a genetic disease or abnormality, dominant) a = normal (recessive) Pedigree Analysis Introduction A pedigree is a diagram of family relationships that uses symbols to represent people and lines to represent genetic relationships. These diagrams make it easier to visualize

More information