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Nieuwoudt C, Farooq FB, Brooks-Wilson A, Bureau A, Graham J. Statistics to prioritize rare variants in family-based sequencing studies with disease subtypes. Genet Epidemiol 2024. [PMID: 38940260 DOI: 10.1002/gepi.22579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 03/26/2024] [Accepted: 06/13/2024] [Indexed: 06/29/2024]
Abstract
Family-based sequencing studies are increasingly used to find rare genetic variants of high risk for disease traits with familial clustering. In some studies, families with multiple disease subtypes are collected and the exomes of affected relatives are sequenced for shared rare variants (RVs). Since different families can harbor different causal variants and each family harbors many RVs, tests to detect causal variants can have low power in this study design. Our goal is rather to prioritize shared variants for further investigation by, for example, pathway analyses or functional studies. The transmission-disequilibrium test prioritizes variants based on departures from Mendelian transmission in parent-child trios. Extending this idea to families, we propose methods to prioritize RVs shared in affected relatives with two disease subtypes, with one subtype more heritable than the other. Global approaches condition on a variant being observed in the study and assume a known probability of carrying a causal variant. In contrast, local approaches condition on a variant being observed in specific families to eliminate the carrier probability. Our simulation results indicate that global approaches are robust to misspecification of the carrier probability and prioritize more effectively than local approaches even when the carrier probability is misspecified.
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Affiliation(s)
- Christina Nieuwoudt
- Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Fabiha Binte Farooq
- Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Angela Brooks-Wilson
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Alexandre Bureau
- Département de Médecine Sociale et Préventive, Université Laval, Québec City, Québec, Canada
- Centre de recherche CERVO, Québec City, Québec, Canada
| | - Jinko Graham
- Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, British Columbia, Canada
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Teerlink CC, Miller JB, Vance EL, Staley LA, Stevens J, Tavana JP, Cloward ME, Page ML, Dayton L, Cannon-Albright LA, Kauwe JSK. Analysis of high-risk pedigrees identifies 11 candidate variants for Alzheimer's disease. Alzheimers Dement 2021; 18:307-317. [PMID: 34151536 PMCID: PMC9291865 DOI: 10.1002/alz.12397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 04/15/2021] [Accepted: 05/11/2021] [Indexed: 11/08/2022]
Abstract
Introduction Analysis of sequence data in high‐risk pedigrees is a powerful approach to detect rare predisposition variants. Methods Rare, shared candidate predisposition variants were identified from exome sequencing 19 Alzheimer's disease (AD)‐affected cousin pairs selected from high‐risk pedigrees. Variants were further prioritized by risk association in various external datasets. Candidate variants emerging from these analyses were tested for co‐segregation to additional affected relatives of the original sequenced pedigree members. Results AD‐affected high‐risk cousin pairs contained 564 shared rare variants. Eleven variants spanning 10 genes were prioritized in external datasets: rs201665195 (ABCA7), and rs28933981 (TTR) were previously implicated in AD pathology; rs141402160 (NOTCH3) and rs140914494 (NOTCH3) were previously reported; rs200290640 (PIDD1) and rs199752248 (PIDD1) were present in more than one cousin pair; rs61729902 (SNAP91), rs140129800 (COX6A2, AC026471), and rs191804178 (MUC16) were not present in a longevity cohort; and rs148294193 (PELI3) and rs147599881 (FCHO1) approached significance from analysis of AD‐related phenotypes. Three variants were validated via evidence of co‐segregation to additional relatives (PELI3, ABCA7, and SNAP91). Discussion These analyses support ABCA7 and TTR as AD risk genes, expand on previously reported NOTCH3 variant identification, and prioritize seven additional candidate variants.
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Affiliation(s)
- Craig C Teerlink
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Justin B Miller
- Department of Biomedical Informatics, University of Kentucky Sanders-Brown Center on Aging, Lexington, Kentucky, USA
| | | | - Lyndsay A Staley
- Department of Biology, Brigham Young University, Provo, Utah, USA
| | - Jeffrey Stevens
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Justina P Tavana
- Department of Biology, Brigham Young University, Provo, Utah, USA
| | | | - Madeline L Page
- Department of Biology, Brigham Young University, Provo, Utah, USA
| | - Louisa Dayton
- Department of Biology, Brigham Young University, Provo, Utah, USA
| | | | - Lisa A Cannon-Albright
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.,George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah, USA.,Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - John S K Kauwe
- Department of Biology, Brigham Young University, Provo, Utah, USA
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Thompson BA, Snow AK, Koptiuch C, Kohlmann WK, Mooney R, Johnson S, Huff CD, Yu Y, Teerlink CC, Feng BJ, Neklason DW, Cannon-Albright LA, Tavtigian SV. A novel ribosomal protein S20 variant in a family with unexplained colorectal cancer and polyposis. Clin Genet 2021; 97:943-944. [PMID: 32424863 DOI: 10.1111/cge.13757] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 02/21/2020] [Accepted: 02/23/2020] [Indexed: 01/23/2023]
Affiliation(s)
- Bryony A Thompson
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.,Department of Pathology, Royal Melbourne Hospital, Melbourne, Australia.,Department of Clinical Pathology, University of Melbourne, Melbourne, Australia
| | - Angela K Snow
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Cathryn Koptiuch
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Wendy K Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Ryan Mooney
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Sara Johnson
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Chad D Huff
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Yao Yu
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Craig C Teerlink
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Bing-Jian Feng
- Department of Dermatology, University of Utah, Salt Lake City, Utah, USA
| | - Deborah W Neklason
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.,Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.,Department of Oncological Sciences, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Lisa A Cannon-Albright
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.,Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.,Research and Development Service, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah, USA
| | - Sean V Tavtigian
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.,Department of Oncological Sciences, University of Utah School of Medicine, Salt Lake City, Utah, USA
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Teerlink CC, Stevens J, Hernandez R, Facelli JC, Cannon-Albright LA. An intronic variant in the CELF4 gene is associated with risk for colorectal cancer. Cancer Epidemiol 2021; 72:101941. [PMID: 33930674 PMCID: PMC8158787 DOI: 10.1016/j.canep.2021.101941] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/17/2021] [Indexed: 01/02/2023]
Abstract
BACKGROUND Germline predisposition variants associated with colorectal cancer (CRC) have been identified but all are not yet identified. We sought to identify the responsible predisposition germline variant in an extended high-risk CRC pedigree that exhibited evidence of linkage to the 18q12.2 region (TLOD = +2.81). METHODS DNA from two distantly related carriers of the hypothesized predisposition haplotype on 18q12.2 was sequenced to identify candidate variants. The candidate rare variants shared by the related sequenced subjects were screened in 3,094 CRC cases and 5x population-matched controls from UKBiobank to test for association. Further segregation of the variant was tested via Taqman assay in other sampled individuals in the pedigree. RESULTS Analysis of whole genome sequence data for the two related hypothesized predisposition haplotype carriers, restricted to the shared haplotype boundaries, identified multiple (n = 6) rare candidate non-coding variants that were tested for association with CRC risk in UKBiobank. A rare intronic variant ofCELF4 gene, rs568643870, was significantly associated with CRC (p = 0.004, OR = 5.0), and segregated with CRC in other members of the linked pedigree. CONCLUSION Evidence of segregation in a high-risk pedigree, case-control association in an external dataset, and identification of additional CRC-affected carriers in the linked pedigree support a role for a rareCELF4 intronic variant in CRC risk.
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Affiliation(s)
- Craig C Teerlink
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84132, USA.
| | - Jeff Stevens
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84132, USA.
| | - Rolando Hernandez
- Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT 84108, USA.
| | - Julio C Facelli
- Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT 84108, USA; Center for Clinical and Translational Science, University of Utah School of Medicine, Salt Lake City, UT 84108, USA.
| | - Lisa A Cannon-Albright
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84132, USA; George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT 84148, USA; Huntsman Cancer Institute, Salt Lake City, UT 84112, USA.
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Teerlink CC, Jurynec MJ, Hernandez R, Stevens J, Hughes DC, Brunker CP, Rowe K, Grunwald DJ, Facelli JC, Cannon-Albright LA. A role for the MEGF6 gene in predisposition to osteoporosis. Ann Hum Genet 2021; 85:58-72. [PMID: 33026655 PMCID: PMC8274237 DOI: 10.1111/ahg.12408] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 05/19/2020] [Accepted: 09/23/2020] [Indexed: 12/12/2022]
Abstract
Osteoporosis is a common skeletal disorder characterized by deterioration of bone tissue. The set of genetic factors contributing to osteoporosis is not completely specified. High-risk osteoporosis pedigrees were analyzed to identify genes that may confer susceptibility to disease. Candidate predisposition variants were identified initially by whole exome sequencing of affected-relative pairs, approximately cousins, from 10 pedigrees. Variants were filtered on the basis of population frequency, concordance between pairs of cousins, affecting a gene associated with osteoporosis, and likelihood to have functionally damaging, pathogenic consequences. Subsequently, variants were tested for segregation in 68 additional relatives of the index carriers. A rare variant in MEGF6 (rs755467862) showed strong evidence of segregation with the disease phenotype. Predicted protein folding indicated the variant (Cys200Tyr) may disrupt structure of an EGF-like calcium-binding domain of MEGF6. Functional analyses demonstrated that complete loss of the paralogous genes megf6a and megf6b in zebrafish resulted in significant delay of cartilage and bone formation. Segregation analyses, in silico protein structure modeling, and functional assays support a role for MEGF6 in predisposition to osteoporosis.
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Affiliation(s)
- Craig C. Teerlink
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, 84132, USA
| | - Michael J Jurynec
- Department of Orthopaedics , University of Utah, Salt Lake City, 84108, USA
| | - Rolando Hernandez
- Department of Biomedical Informatics, University of Utah, Salt Lake City, 84108, USA
| | - Jeff Stevens
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, 84132, USA
| | - Dana C. Hughes
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, 84132, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, 84132, USA
| | - Cherie P. Brunker
- Department of Internal Medicine, University of Utah, Salt Lake City, 84132, USA
- Intermountain Healthcare, Salt Lake City, UT, 84113, USA
| | - Kerry Rowe
- Intermountain Healthcare, Salt Lake City, UT, 84113, USA
| | - David J. Grunwald
- Department of Human Genetics, University of Utah, Salt Lake City, UT, 84112, USA
| | - Julio C. Facelli
- Department of Biomedical Informatics, University of Utah, Salt Lake City, 84108, USA
| | - Lisa A. Cannon-Albright
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, 84132, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, 84148, USA
- Huntsman Cancer Institute, Salt Lake City, UT, 84112, USA
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Cannon-Albright LA, Teerlink CC, Stevens J, Snow AK, Thompson BA, Bell R, Nguyen KN, Sargent NR, Kohlmann WK, Neklason DW, Tavtigian SV. FANCM c5791C>T stopgain mutation (rs144567652) is a familial colorectal cancer risk factor. Mol Genet Genomic Med 2020; 8:e1532. [PMID: 33118316 PMCID: PMC7767553 DOI: 10.1002/mgg3.1532] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 09/09/2020] [Accepted: 09/25/2020] [Indexed: 12/19/2022] Open
Abstract
Purpose While familial aggregation of colorectal cancer (CRC) is recognized, the majority of the germline predisposition factors remain unidentified, and many high‐risk CRC pedigrees remain unexplained by known risk variants. Fanconi Anemia genes have been recognized to be associated with cancer risk. Notably, FANCM (OMIM 609644) variants have been reported to confer risk for CRC and breast cancer. Methods Exome sequencing of CRC‐affected cousins in a set of 47 independent extended high‐risk CRC pedigrees identified a candidate set of rare, shared variants. Variants were tested for association with risk in 744 Utah CRC cases and 1525 controls, and for segregation with CRC in affected relatives. Results A FANCM stopgain variant was observed in two CRC‐affected cousin pairs, each from an independent Utah high‐risk pedigree, and yielded a nonsignificant, but elevated OR = 2.05 in a set of Utah cases and controls. Segregation of the variant to other related CRC‐affected cases was observed in the two extended pedigrees. Conclusion A rare stopgain variant in FANCM (rs144567652) that is recognized as a breast cancer predisposition variant, and that has previously been proposed, but not confirmed, as a CRC predisposition variant, is validated here as a risk factor for familial CRC.
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Affiliation(s)
- Lisa A Cannon-Albright
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.,Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Craig C Teerlink
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Jeffrey Stevens
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Angela K Snow
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Bryony A Thompson
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Pathology, Royal Melbourne Hospital, Melbourne, Australia
| | - Russell Bell
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Kim N Nguyen
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Nykole R Sargent
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Wendy K Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Deborah W Neklason
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.,Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Sean V Tavtigian
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Oncological Sciences, University of Utah School of Medicine, Salt Lake City, UT, USA
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Miller JB, Ward E, Staley LA, Stevens J, Teerlink CC, Tavana JP, Cloward M, Page M, Dayton L, Cannon-Albright LA, Kauwe JSK. Identification and genomic analysis of pedigrees with exceptional longevity identifies candidate rare variants. Neurobiol Dis 2020; 143:104972. [PMID: 32574725 PMCID: PMC7461696 DOI: 10.1016/j.nbd.2020.104972] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/05/2020] [Accepted: 06/12/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Longevity as a phenotype entails living longer than average and typically includes living without chronic age-related diseases. Recently, several common genetic components to longevity have been identified. This study aims to identify additional genetic variants associated with longevity using unique and powerful analyses of pedigrees with a statistical excess of healthy elderly individuals identified in the Utah Population Database (UPDB). METHODS From an existing biorepository of Utah pedigrees, six independent cousin pairs were selected from four extended pedigrees that exhibited an excess of healthy elderly individuals; whole exome sequencing (WES) was performed on two elderly individuals from each pedigree who were either first cousins or first cousins once removed. Rare (<.01 population frequency) variants shared by at least one elderly cousin pair in a region likely to be identical by descent were identified as candidates. Ingenuity Variant Analysis was used to prioritize putative causal variants based on quality control, frequency, and gain or loss of function. The variant frequency was compared in healthy cohorts and in an Alzheimer's disease cohort. Remaining variants were filtered based on their presence in genes reported to have an effect on the aging process, aging of cells, or the longevity process. Validation of these candidate variants included tests of segregation on other elderly relatives. RESULTS Fifteen rare candidate genetic variants spanning 17 genes shared within cousins were identified as having passed prioritization criteria. Of those variants, six were present in genes that are known or predicted to affect the aging process: rs78408340 (PAM), rs112892337 (ZFAT), rs61737629 (ESPL1), rs141903485 (CEBPE), rs144369314 (UTP4), and rs61753103 (NUP88 and RABEP1). ESPL1 rs61737629 and CEBPE rs141903485 show additional evidence of segregation with longevity in expanded pedigree analyses (p-values = .001 and .0001, respectively). DISCUSSION This unique pedigree analysis efficiently identified several novel rare candidate variants that may affect the aging process and added support to seven genes that likely contribute to longevity. Further analyses showed evidence for segregation for two rare variants, ESPL1 rs61737629 and CEBPE rs141903485, in the original longevity pedigrees in which they were initially observed. These candidate genes and variants warrant further investigation.
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Affiliation(s)
- Justin B Miller
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Elizabeth Ward
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Lyndsay A Staley
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Jeffrey Stevens
- Genetic Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT 84132, USA
| | - Craig C Teerlink
- Genetic Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT 84132, USA
| | - Justina P Tavana
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Matthew Cloward
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Madeline Page
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Louisa Dayton
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Lisa A Cannon-Albright
- Genetic Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT 84132, USA
| | - John S K Kauwe
- Department of Biology, Brigham Young University, Provo, UT 84602, USA.
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Bishop MR, Diaz Perez KK, Sun M, Ho S, Chopra P, Mukhopadhyay N, Hetmanski JB, Taub MA, Moreno-Uribe LM, Valencia-Ramirez LC, Restrepo Muñeton CP, Wehby G, Hecht JT, Deleyiannis F, Weinberg SM, Wu-Chou YH, Chen PK, Brand H, Epstein MP, Ruczinski I, Murray JC, Beaty TH, Feingold E, Lipinski RJ, Cutler DJ, Marazita ML, Leslie EJ. Genome-wide Enrichment of De Novo Coding Mutations in Orofacial Cleft Trios. Am J Hum Genet 2020; 107:124-136. [PMID: 32574564 PMCID: PMC7332647 DOI: 10.1016/j.ajhg.2020.05.018] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 05/26/2020] [Indexed: 01/05/2023] Open
Abstract
Although de novo mutations (DNMs) are known to increase an individual's risk of congenital defects, DNMs have not been fully explored regarding orofacial clefts (OFCs), one of the most common human birth defects. Therefore, whole-genome sequencing of 756 child-parent trios of European, Colombian, and Taiwanese ancestry was performed to determine the contributions of coding DNMs to an individual's OFC risk. Overall, we identified a significant excess of loss-of-function DNMs in genes highly expressed in craniofacial tissues, as well as genes associated with known autosomal dominant OFC syndromes. This analysis also revealed roles for zinc-finger homeobox domain and SOX2-interacting genes in OFC etiology.
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Affiliation(s)
- Madison R. Bishop
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Kimberly K. Diaz Perez
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Miranda Sun
- Department of Comparative Biosciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI 53706, USA
| | - Samantha Ho
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Pankaj Chopra
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Nandita Mukhopadhyay
- Department of Oral Biology, University of Pittsburgh School of Dental Medicine, Pittsburgh, PA 15219, USA
| | - Jacqueline B. Hetmanski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Margaret A. Taub
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Lina M. Moreno-Uribe
- Department of Orthodontics, College of Dentistry, University of Iowa, Iowa City, IA 52242, USA
| | | | | | - George Wehby
- Department of Health Management and Policy, College of Public Health, University of Iowa, Iowa City, IA 52242, USA
| | - Jacqueline T. Hecht
- Department of Pediatrics, McGovern Medical School and School of Dentistry, UT Health at Houston, Houston, TX 77030, USA
| | | | - Seth M. Weinberg
- Department of Oral Biology, University of Pittsburgh School of Dental Medicine, Pittsburgh, PA 15219, USA,Department of Human Genetics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA 15219, USA
| | - Yah Huei Wu-Chou
- Department of Medical Research, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Philip K. Chen
- Craniofacial Centre, Taipei Medical University Hospital and Taipei Medical University, Taipei, Taiwan
| | - Harrison Brand
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Michael P. Epstein
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Jeffrey C. Murray
- Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Terri H. Beaty
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Eleanor Feingold
- Department of Human Genetics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA 15219, USA
| | - Robert J. Lipinski
- Department of Comparative Biosciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI 53706, USA
| | - David J. Cutler
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Mary L. Marazita
- Department of Oral Biology, University of Pittsburgh School of Dental Medicine, Pittsburgh, PA 15219, USA,Department of Human Genetics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA 15219, USA
| | - Elizabeth J. Leslie
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA,Corresponding author
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Sherman T, Fu J, Scharpf RB, Bureau A, Ruczinski I. Detection of rare disease variants in extended pedigrees using RVS. Bioinformatics 2020; 35:2509-2511. [PMID: 30500888 PMCID: PMC6612888 DOI: 10.1093/bioinformatics/bty976] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Revised: 09/20/2018] [Accepted: 11/28/2018] [Indexed: 11/30/2022] Open
Abstract
Summary Family-based sequencing studies enable researchers to identify highly penetrant genetic variants too rare to be tested in conventional case-control studies, by studying co-segregation of variant and disease phenotypes. When multiple affected subjects in a family are sequenced, the probability that a variant or a set of variants is shared identical-by-descent by some or all affected relatives provides evidence against the null hypothesis of complete absence of linkage and association. The Rare Variant Sharing software package RVS implements a suite of tools to assess association and linkage between rare genetic variants and a dichotomous disease indicator in family pedigrees. Availability and Implementation RVS is available as open source software from the Bioconductor webpage at https://bioconductor.org/packages/release/bioc/html/RVS.html. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Thomas Sherman
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
| | - Jack Fu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
| | - Robert B Scharpf
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Alexandre Bureau
- Département de Médecine Sociale et Préventive, Université Laval, Québec, QC, Canada.,Centre de Recherche CERVO, Québec, QC, Canada
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
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Sul JH, Service SK, Huang AY, Ramensky V, Hwang SG, Teshiba TM, Park Y, Ori APS, Zhang Z, Mullins N, Olde Loohuis LM, Fears SC, Araya C, Araya X, Spesny M, Bejarano J, Ramirez M, Castrillón G, Gomez-Makhinson J, Lopez MC, Montoya G, Montoya CP, Aldana I, Escobar JI, Ospina-Duque J, Kremeyer B, Bedoya G, Ruiz-Linares A, Cantor RM, Molina J, Coppola G, Ophoff RA, Macaya G, Lopez-Jaramillo C, Reus V, Bearden CE, Sabatti C, Freimer NB. Contribution of common and rare variants to bipolar disorder susceptibility in extended pedigrees from population isolates. Transl Psychiatry 2020; 10:74. [PMID: 32094344 PMCID: PMC7039961 DOI: 10.1038/s41398-020-0758-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 09/24/2019] [Accepted: 11/04/2019] [Indexed: 12/13/2022] Open
Abstract
Current evidence from case/control studies indicates that genetic risk for psychiatric disorders derives primarily from numerous common variants, each with a small phenotypic impact. The literature describing apparent segregation of bipolar disorder (BP) in numerous multigenerational pedigrees suggests that, in such families, large-effect inherited variants might play a greater role. To identify roles of rare and common variants on BP, we conducted genetic analyses in 26 Colombia and Costa Rica pedigrees ascertained for bipolar disorder 1 (BP1), the most severe and heritable form of BP. In these pedigrees, we performed microarray SNP genotyping of 838 individuals and high-coverage whole-genome sequencing of 449 individuals. We compared polygenic risk scores (PRS), estimated using the latest BP1 genome-wide association study (GWAS) summary statistics, between BP1 individuals and related controls. We also evaluated whether BP1 individuals had a higher burden of rare deleterious single-nucleotide variants (SNVs) and rare copy number variants (CNVs) in a set of genes related to BP1. We found that compared with unaffected relatives, BP1 individuals had higher PRS estimated from BP1 GWAS statistics (P = 0.001 ~ 0.007) and displayed modest increase in burdens of rare deleterious SNVs (P = 0.047) and rare CNVs (P = 0.002 ~ 0.033) in genes related to BP1. We did not observe rare variants segregating in the pedigrees. These results suggest that small-to-moderate effect rare and common variants are more likely to contribute to BP1 risk in these extended pedigrees than a few large-effect rare variants.
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Affiliation(s)
- Jae Hoon Sul
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Susan K. Service
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA
| | - Alden Y. Huang
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Vasily Ramensky
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA ,Federal State Institution “National Medical Research Center for Preventive Medicine” of the Ministry of Healthcare of the Russian Federation. Petroverigskiy lane 10, Moscow, 101990 Russia
| | - Sun-Goo Hwang
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Terri M. Teshiba
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA
| | - YoungJun Park
- grid.19006.3e0000 0000 9632 6718Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Anil P. S. Ori
- grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA
| | - Zhongyang Zhang
- grid.59734.3c0000 0001 0670 2351Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Niamh Mullins
- grid.13097.3c0000 0001 2322 6764King’s College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, Denmark Hill, London, SE5 8AF UK ,grid.59734.3c0000 0001 0670 2351Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Loes M. Olde Loohuis
- grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA
| | - Scott C. Fears
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Carmen Araya
- grid.412889.e0000 0004 1937 0706Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 11501 Costa Rica
| | - Xinia Araya
- grid.412889.e0000 0004 1937 0706Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 11501 Costa Rica
| | - Mitzi Spesny
- Division of Pediatric Pulmonology, Hospital Nacional de Nin ~os, San Jose, Costa Rica
| | - Julio Bejarano
- grid.412889.e0000 0004 1937 0706Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 11501 Costa Rica
| | - Margarita Ramirez
- grid.412889.e0000 0004 1937 0706Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 11501 Costa Rica
| | - Gabriel Castrillón
- Instituto de Alta Tecnologia Medica, Medellín, Antioquia, Colombia ,grid.15474.330000 0004 0477 2438Department of Neuroradiology, Klinikum rechts der Isar, TUM, Munich, Germany
| | - Juliana Gomez-Makhinson
- grid.412881.60000 0000 8882 5269Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Departamento de Psiquiatría Facultad de Medicina, Universidad de Antioquia, Medellín, 050011 Colombia
| | - Maria C. Lopez
- grid.412881.60000 0000 8882 5269Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Departamento de Psiquiatría Facultad de Medicina, Universidad de Antioquia, Medellín, 050011 Colombia
| | - Gabriel Montoya
- grid.412881.60000 0000 8882 5269Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Departamento de Psiquiatría Facultad de Medicina, Universidad de Antioquia, Medellín, 050011 Colombia
| | - Claudia P. Montoya
- grid.412881.60000 0000 8882 5269Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Departamento de Psiquiatría Facultad de Medicina, Universidad de Antioquia, Medellín, 050011 Colombia
| | - Ileana Aldana
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Javier I. Escobar
- grid.430387.b0000 0004 1936 8796Department of Psychiatry and Family Medicine, Rutgers-Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ 08901 USA
| | - Jorge Ospina-Duque
- grid.412881.60000 0000 8882 5269Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Departamento de Psiquiatría Facultad de Medicina, Universidad de Antioquia, Medellín, 050011 Colombia
| | - Barbara Kremeyer
- grid.83440.3b0000000121901201Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT UK
| | - Gabriel Bedoya
- grid.412881.60000 0000 8882 5269Laboratory of Molecular Genetics, Institute of Biology, University of Antioquia, Medellín, 050010 Colombia
| | - Andres Ruiz-Linares
- grid.8547.e0000 0001 0125 2443Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, 200438 China ,grid.5399.60000 0001 2176 4817Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - Rita M. Cantor
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Department of Human Genetics, University of California Los Angeles, Los Angeles, CA 90095 USA
| | | | - Giovanni Coppola
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Roel A. Ophoff
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Human Genetics, University of California Los Angeles, Los Angeles, CA 90095 USA ,grid.7692.a0000000090126352Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands
| | - Gabriel Macaya
- grid.412889.e0000 0004 1937 0706Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 11501 Costa Rica
| | - Carlos Lopez-Jaramillo
- grid.412881.60000 0000 8882 5269Grupo de Investigación en Psiquiatría (Research Group in Psychiatry; GIPSI), Departamento de Psiquiatría Facultad de Medicina, Universidad de Antioquia, Medellín, 050011 Colombia ,Mood Disorders Program, Hospital San Vicente Fundacion, Medellín, 050011 Colombia
| | - Victor Reus
- grid.266102.10000 0001 2297 6811Department of Psychiatry and UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94143 USA
| | - Carrie E. Bearden
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Chiara Sabatti
- grid.168010.e0000000419368956Department of Health Research and Policy, Division of Biostatistics, Stanford University, Stanford, CA 94305 USA
| | - Nelson B. Freimer
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Human Genetics, University of California Los Angeles, Los Angeles, CA 90095 USA
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11
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Zhang S, Li X, Zhang L, Meng X, Ma L, Zhang G, Wu H, Liang L, Cao M, Mei F. Identification of a Rare PSEN1 Mutation (Thr119Ile) in Late-Onset Alzheimer's Disease With Early Presentation of Behavioral Disturbance. Front Psychiatry 2020; 11:347. [PMID: 32477171 PMCID: PMC7240292 DOI: 10.3389/fpsyt.2020.00347] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 04/06/2020] [Indexed: 12/11/2022] Open
Abstract
Alzheimer's disease (AD) is the most common form of neurodegenerative dementia. In this study, whole genome sequencing identifies one rare and likely pathogenic mutation in the presenilin 1 (PSEN1) gene (c.356C > T, p.T119I) associated with a frontal variant of AD. Affected individuals in the kindred developed late-onset cognitive decline accompanied with early presentation of psychiatric symptoms. Positive amyloid PiB PET tracing suggested presence of pathophysiological biomarker for AD. Whole genome sequencing analysis evaluated rare coding mutations in susceptible genes for various types of dementia and supported the role of PSEN1 as a causal gene. Identification of this T119I variant in PSEN1 might broaden the spectrum of genetic basis and clinical diversity of familial AD.
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Affiliation(s)
- Shouzi Zhang
- Psychiatry Department, Beijing Geriatric Hospital, Beijing, China
| | - Xiang Li
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Li Zhang
- Psychiatry Department, Beijing Geriatric Hospital, Beijing, China
| | - Xiangyan Meng
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Li Ma
- Psychiatry Department, Beijing Geriatric Hospital, Beijing, China
| | - Guangze Zhang
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Haiyan Wu
- Psychiatry Department, Beijing Geriatric Hospital, Beijing, China
| | - Ling Liang
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Meng Cao
- Psychiatry Department, Beijing Geriatric Hospital, Beijing, China
| | - Fan Mei
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
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12
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Chen J, Wu JS, Mize T, Moreno M, Hamid M, Servin F, Bashy B, Zhao Z, Jia P, Tsuang MT, Kendler KS, Xiong M, Chen X. A Frameshift Variant in the CHST9 Gene Identified by Family-Based Whole Genome Sequencing Is Associated with Schizophrenia in Chinese Population. Sci Rep 2019; 9:12717. [PMID: 31481703 PMCID: PMC6722128 DOI: 10.1038/s41598-019-49052-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 08/19/2019] [Indexed: 12/30/2022] Open
Abstract
Recent studies imply that rare variants contribute to the risk of schizophrenia, however, the exact variants or genes responsible for this condition are largely unknown. In this study, we conducted whole genome sequencing (WGS) of 20 Chinese families. Each family consisted of at least two affected siblings diagnosed with schizophrenia and at least one unaffected sibling. We examined functional variants that were found in affected sibling(s) but not in unaffected sibling(s) within a family. Matching this criterion, a frameshift heterozygous deletion of CA (–/CA) at chromosome 18:24722722, also referred to as rs752084147, in the Carbohydrate Sulfotransferase 9 (CHST9) gene, was detected in two families. This deletion was confirmed by PCR-based Sanger sequencing. With the observed frequency of 0.00076 in Han Chinese population, we performed both case-control and family-based analyses to evaluate its association with schizophrenia. In the case-control analyses, Chi-square test P-value was 6.80e-12 and the P-value was 0.0008 after one million simulations. In family-based segregation analyses, segregation P-value was 7.72e-7 and simulated P-value was 5.70e-6. For both the case-control and family-based analyses, the CA deletion was significantly associated with schizophrenia in the Chinese population. Further investigation of this gene is warranted in the development of schizophrenia by utilizing larger and more ethnically diverse samples.
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Affiliation(s)
- Jingchun Chen
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, 4505 S, Maryland Parkway, Las Vegas, NV, 89154-4009, USA.
| | - Jain-Shing Wu
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, 4505 S, Maryland Parkway, Las Vegas, NV, 89154-4009, USA
| | - Travis Mize
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, 4505 S, Maryland Parkway, Las Vegas, NV, 89154-4009, USA.,Department of Psychology, University of Nevada, Las Vegas, 4505 S, Maryland Parkway, Las Vegas, NV, 89154-4009, USA
| | - Marvi Moreno
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, 4505 S, Maryland Parkway, Las Vegas, NV, 89154-4009, USA
| | - Mahtab Hamid
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, 4505 S, Maryland Parkway, Las Vegas, NV, 89154-4009, USA
| | - Francisco Servin
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, 4505 S, Maryland Parkway, Las Vegas, NV, 89154-4009, USA
| | - Bita Bashy
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, 4505 S, Maryland Parkway, Las Vegas, NV, 89154-4009, USA
| | - Zhongming Zhao
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.,Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Peilin Jia
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Ming T Tsuang
- Department of Psychiatry, University of California at San Diego, San Diego, CA, 92093, USA
| | - Kenneth S Kendler
- Virginia Institute of Psychiatric and Behavioral Genetics, Medical College of Virginia and Virginia Commonwealth University, Richmond, VA, 23298, USA
| | - Momiao Xiong
- Department of Biostatistics and Data Science, Human Genetics Center, University of Texas School of Public Health, Houston, TX, 77030, USA
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13
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Bureau A, Begum F, Taub MA, Hetmanski J, Parker MM, Albacha-Hejazi H, Scott AF, Murray JC, Marazita ML, Bailey-Wilson JE, Beaty TH, Ruczinski I. Inferring disease risk genes from sequencing data in multiplex pedigrees through sharing of rare variants. Genet Epidemiol 2019; 43:37-49. [PMID: 30246882 PMCID: PMC6330140 DOI: 10.1002/gepi.22155] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 07/11/2018] [Accepted: 07/15/2018] [Indexed: 12/23/2022]
Abstract
We previously demonstrated how sharing of rare variants (RVs) in distant affected relatives can be used to identify variants causing a complex and heterogeneous disease. This approach tested whether single RVs were shared by all sequenced affected family members. However, as with other study designs, joint analysis of several RVs (e.g., within genes) is sometimes required to obtain sufficient statistical power. Further, phenocopies can lead to false negatives for some causal RVs if complete sharing among affected is required. Here, we extend our methodology (Rare Variant Sharing, RVS) to address these issues. Specifically, we introduce gene-based analyses, a partial sharing test based on RV sharing probabilities for subsets of affected relatives and a haplotype-based RV definition. RVS also has the desirable feature of not requiring external estimates of variant frequency or control samples, provides functionality to assess and address violations of key assumptions, and is available as open source software for genome-wide analysis. Simulations including phenocopies, based on the families of an oral cleft study, revealed the partial and complete sharing versions of RVS achieved similar statistical power compared with alternative methods (RareIBD and the Gene-Based Segregation Test), and had superior power compared with the pedigree Variant Annotation, Analysis, and Search Tool (pVAAST) linkage statistic. In studies of multiplex cleft families, analysis of rare single nucleotide variants in the exome of 151 affected relatives from 54 families revealed no significant excess sharing in any one gene, but highlighted different patterns of sharing revealed by the complete and partial sharing tests.
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Affiliation(s)
- Alexandre Bureau
- Département de Médecine Sociale et Préventive, Université Laval, Québec, Canada
- Centre de recherche CERVO, Québec, Canada
| | - Ferdouse Begum
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Margaret A. Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jacqueline Hetmanski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Margaret M. Parker
- Channing Division of Network Medicine, Harvard Medical School, Boston, MA, USA
| | | | - Alan F. Scott
- Institute of Genetic Medicine, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Jeffrey C. Murray
- Department of Pediatrics, School of Medicine, University of Iowa, Iowa City, IA, USA
| | - Mary L. Marazita
- Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joan E. Bailey-Wilson
- Inherited Disease Research Branch, National Human Genome Research Institute, Baltimore, MD, USA
| | - Terri H. Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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14
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Simulating pedigrees ascertained for multiple disease-affected relatives. SOURCE CODE FOR BIOLOGY AND MEDICINE 2018; 13:2. [PMID: 30356812 PMCID: PMC6190569 DOI: 10.1186/s13029-018-0069-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 10/02/2018] [Indexed: 12/05/2022]
Abstract
Background Studies that ascertain families containing multiple relatives affected by disease can be useful for identification of causal, rare variants from next-generation sequencing data. Results We present the R package SimRVPedigree, which allows researchers to simulate pedigrees ascertained on the basis of multiple, affected relatives. By incorporating the ascertainment process in the simulation, SimRVPedigree allows researchers to better understand the within-family patterns of relationship amongst affected individuals and ages of disease onset. Conclusions Through simulation, we show that affected members of a family segregating a rare disease variant tend to be more numerous and cluster in relationships more closely than those for sporadic disease. We also show that the family ascertainment process can lead to apparent anticipation in the age of onset. Finally, we use simulation to gain insight into the limit on the proportion of ascertained families segregating a causal variant. SimRVPedigree should be useful to investigators seeking insight into the family-based study design through simulation. Electronic supplementary material The online version of this article (10.1186/s13029-018-0069-6) contains supplementary material, which is available to authorized users.
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15
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Zhang T, Hou L, Chen DT, McMahon FJ, Wang JC, Rice JP. Exome sequencing of a large family identifies potential candidate genes contributing risk to bipolar disorder. Gene 2018; 645:119-123. [PMID: 29248581 PMCID: PMC6040674 DOI: 10.1016/j.gene.2017.12.025] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2017] [Revised: 12/08/2017] [Accepted: 12/13/2017] [Indexed: 12/27/2022]
Abstract
Bipolar disorder is a mental illness with lifetime prevalence of about 1%. Previous genetic studies have identified multiple chromosomal linkage regions and candidate genes that might be associated with bipolar disorder. The present study aimed to identify potential susceptibility variants for bipolar disorder using 6 related case samples from a four-generation family. A combination of exome sequencing and linkage analysis was performed to identify potential susceptibility variants for bipolar disorder. Our study identified a list of five potential candidate genes for bipolar disorder. Among these five genes, GRID1(Glutamate Receptor Delta-1 Subunit), which was previously reported to be associated with several psychiatric disorders and brain related traits, is particularly interesting. Variants with functional significance in this gene were identified from two cousins in our bipolar disorder pedigree. Our findings suggest a potential role for these genes and the related rare variants in the onset and development of bipolar disorder in this one family. Additional research is needed to replicate these findings and evaluate their patho-biological significance.
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Affiliation(s)
- Tianxiao Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University, Shaanxi, China
| | - Liping Hou
- Human Genetics Branch, The National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - David T Chen
- Human Genetics Branch, The National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Francis J McMahon
- Human Genetics Branch, The National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Jen-Chyong Wang
- Department of Psychiatry, Washington University in Saint Louis, MO, USA
| | - John P Rice
- Department of Psychiatry, Washington University in Saint Louis, MO, USA.
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16
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Qiao D, Lange C, Laird NM, Won S, Hersh CP, Morrow J, Hobbs BD, Lutz SM, Ruczinski I, Beaty TH, Silverman EK, Cho MH. Gene-based segregation method for identifying rare variants in family-based sequencing studies. Genet Epidemiol 2017; 41:309-319. [PMID: 28191685 DOI: 10.1002/gepi.22037] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Revised: 11/30/2016] [Accepted: 12/09/2016] [Indexed: 11/11/2022]
Abstract
Whole-exome sequencing using family data has identified rare coding variants in Mendelian diseases or complex diseases with Mendelian subtypes, using filters based on variant novelty, functionality, and segregation with the phenotype within families. However, formal statistical approaches are limited. We propose a gene-based segregation test (GESE) that quantifies the uncertainty of the filtering approach. It is constructed using the probability of segregation events under the null hypothesis of Mendelian transmission. This test takes into account different degrees of relatedness in families, the number of functional rare variants in the gene, and their minor allele frequencies in the corresponding population. In addition, a weighted version of this test allows incorporating additional subject phenotypes to improve statistical power. We show via simulations that the GESE and weighted GESE tests maintain appropriate type I error rate, and have greater power than several commonly used region-based methods. We apply our method to whole-exome sequencing data from 49 extended pedigrees with severe, early-onset chronic obstructive pulmonary disease (COPD) in the Boston Early-Onset COPD study (BEOCOPD) and identify several promising candidate genes. Our proposed methods show great potential for identifying rare coding variants of large effect and high penetrance for family-based sequencing data. The proposed tests are implemented in an R package that is available on CRAN (https://cran.r-project.org/web/packages/GESE/).
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Affiliation(s)
- Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Christoph Lange
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Nan M Laird
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Sungho Won
- Department of Public Health Science, Seoul National University, Seoul, Republic of Korea
| | - Craig P Hersh
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jarrett Morrow
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Brian D Hobbs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Sharon M Lutz
- Department of Biostatistics, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, United States of America
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.,University of Washington Center for Mendelian Genomics, Seattle, Washington, United States of America
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17
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Fu J, Beaty TH, Scott AF, Hetmanski J, Parker MM, Wilson JEB, Marazita ML, Mangold E, Albacha-Hejazi H, Murray JC, Bureau A, Carey J, Cristiano S, Ruczinski I, Scharpf RB. Whole exome association of rare deletions in multiplex oral cleft families. Genet Epidemiol 2017; 41:61-69. [PMID: 27910131 PMCID: PMC5154821 DOI: 10.1002/gepi.22010] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Revised: 09/21/2016] [Accepted: 09/21/2016] [Indexed: 11/11/2022]
Abstract
By sequencing the exomes of distantly related individuals in multiplex families, rare mutational and structural changes to coding DNA can be characterized and their relationship to disease risk can be assessed. Recently, several rare single nucleotide variants (SNVs) were associated with an increased risk of nonsyndromic oral cleft, highlighting the importance of rare sequence variants in oral clefts and illustrating the strength of family-based study designs. However, the extent to which rare deletions in coding regions of the genome occur and contribute to risk of nonsyndromic clefts is not well understood. To identify putative structural variants underlying risk, we developed a pipeline for rare hemizygous deletions in families from whole exome sequencing and statistical inference based on rare variant sharing. Among 56 multiplex families with 115 individuals, we identified 53 regions with one or more rare hemizygous deletions. We found 45 of the 53 regions contained rare deletions occurring in only one family member. Members of the same family shared a rare deletion in only eight regions. We also devised a scalable global test for enrichment of shared rare deletions.
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Affiliation(s)
- Jack Fu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Terri H. Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Alan F. Scott
- Center for Inherited Disease Research and Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore MD, USA
| | - Jacqueline Hetmanski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Margaret M. Parker
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston MA, USA
| | - Joan E. Bailey Wilson
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore MD, USA
| | - Mary L. Marazita
- Department of Oral Biology, Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, PA, USA
| | | | | | - Jeffrey C. Murray
- Department of Pediatrics, School of Medicine, University of Iowa, IA, USA
| | - Alexandre Bureau
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Québec and Département de Médecine Sociale et Préventive, Université Laval, Québec, Canada
| | - Jacob Carey
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Stephen Cristiano
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Robert B. Scharpf
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore MD, USA
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18
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Beaty TH, Marazita ML, Leslie EJ. Genetic factors influencing risk to orofacial clefts: today's challenges and tomorrow's opportunities. F1000Res 2016; 5:2800. [PMID: 27990279 PMCID: PMC5133690 DOI: 10.12688/f1000research.9503.1] [Citation(s) in RCA: 118] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/18/2016] [Indexed: 12/18/2022] Open
Abstract
Orofacial clefts include cleft lip (CL), cleft palate (CP), and cleft lip and palate (CLP), which combined represent the largest group of craniofacial malformations in humans with an overall prevalence of one per 1,000 live births. Each of these birth defects shows strong familial aggregation, suggesting a major genetic component to their etiology. Genetic studies of orofacial clefts extend back centuries, but it has proven difficult to define any single etiologic mechanism because many genes appear to influence risk. Both linkage and association studies have identified several genes influencing risk, but these differ across families and across populations. Genome-wide association studies have identified almost two dozen different genes achieving genome-wide significance, and there are broad classes of 'causal genes' for orofacial clefts: a few genes strongly associated with risk and possibly directly responsible for Mendelian syndromes which include orofacial clefts as a key phenotypic feature of the syndrome, and multiple genes with modest individual effects on risk but capable of disrupting normal craniofacial development under the right circumstances (which may include exposure to environmental risk factors). Genomic sequencing studies are now underway which will no doubt reveal additional genes/regions where variants (sequence and structural) can play a role in controlling risk to orofacial clefts. The real challenge to medicine and public health is twofold: to identify specific genes and other etiologic factors in families with affected members and then to devise effective interventions for these different biological mechanisms controlling risk to complex and heterogeneous birth defects such as orofacial clefts.
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Affiliation(s)
- Terri H Beaty
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Mary L Marazita
- Department of Oral Biology and Center for Craniofacial and Dental Genetics, University of Pittsburgh, Pittsburgh, PA, 15219, USA
| | - Elizabeth J Leslie
- Department of Oral Biology and Center for Craniofacial and Dental Genetics, University of Pittsburgh, Pittsburgh, PA, 15219, USA
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19
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Teerlink CC, Leongamornlert D, Dadaev T, Thomas A, Farnham J, Stephenson RA, Riska S, McDonnell SK, Schaid DJ, Catalona WJ, Zheng SL, Cooney KA, Ray AM, Zuhlke KA, Lange EM, Giles GG, Southey MC, Fitzgerald LM, Rinckleb A, Luedeke M, Maier C, Stanford JL, Ostrander EA, Kaikkonen EM, Sipeky C, Tammela T, Schleutker J, Wiley KE, Isaacs SD, Walsh PC, Isaacs WB, Xu J, Cancel-Tassin G, Cussenot O, Mandal D, Laurie C, Laurie C, Thibodeau SN, Eeles RA, Kote-Jarai Z, Cannon-Albright L. Genome-wide association of familial prostate cancer cases identifies evidence for a rare segregating haplotype at 8q24.21. Hum Genet 2016; 135:923-38. [PMID: 27262462 PMCID: PMC5020907 DOI: 10.1007/s00439-016-1690-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 05/26/2016] [Indexed: 10/21/2022]
Abstract
Previous genome-wide association studies (GWAS) of prostate cancer risk focused on cases unselected for family history and have reported over 100 significant associations. The International Consortium for Prostate Cancer Genetics (ICPCG) has now performed a GWAS of 2511 (unrelated) familial prostate cancer cases and 1382 unaffected controls from 12 member sites. All samples were genotyped on the Illumina 5M+exome single nucleotide polymorphism (SNP) platform. The GWAS identified a significant evidence for association for SNPs in six regions previously associated with prostate cancer in population-based cohorts, including 3q26.2, 6q25.3, 8q24.21, 10q11.23, 11q13.3, and 17q12. Of note, SNP rs138042437 (p = 1.7e(-8)) at 8q24.21 achieved a large estimated effect size in this cohort (odds ratio = 13.3). 116 previously sampled affected relatives of 62 risk-allele carriers from the GWAS cohort were genotyped for this SNP, identifying 78 additional affected carriers in 62 pedigrees. A test for an excess number of affected carriers among relatives exhibited strong evidence for co-segregation of the variant with disease (p = 8.5e(-11)). The majority (92 %) of risk-allele carriers at rs138042437 had a consistent estimated haplotype spanning approximately 100 kb of 8q24.21 that contained the minor alleles of three rare SNPs (dosage minor allele frequencies <1.7 %), rs183373024 (PRNCR1), previously associated SNP rs188140481, and rs138042437 (CASC19). Strong evidence for co-segregation of a SNP on the haplotype further characterizes the haplotype as a prostate cancer predisposition locus.
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Affiliation(s)
- Craig C Teerlink
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA.
| | - Daniel Leongamornlert
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, SW7 3RP, UK
| | - Tokhir Dadaev
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, SW7 3RP, UK
| | - Alun Thomas
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA
| | - James Farnham
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA
| | - Robert A Stephenson
- Department of Urology, University of Utah School of Medicine, Salt Lake City, UT, 84132, USA
- Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, 84132, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, 84112, USA
| | - Shaun Riska
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Shannon K McDonnell
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Daniel J Schaid
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - William J Catalona
- Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - S Lilly Zheng
- Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Kathleen A Cooney
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Anna M Ray
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Kimberly A Zuhlke
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Ethan M Lange
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, 3010, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Melissa C Southey
- Department of Pathology, University of Melbourne, Melbourne, 3010, Australia
| | - Liesel M Fitzgerald
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, 3004, Australia
| | - Antje Rinckleb
- Department of Urology, University Hospital Ulm, 53179, Ulm, Germany
| | - Manuel Luedeke
- Department of Urology, University Hospital Ulm, 53179, Ulm, Germany
| | - Christiane Maier
- Institute for Human Genetics, University of Ulm, 89081, Ulm, Germany
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, WA, 98109, USA
| | - Elaine A Ostrander
- Cancer Genetics Branch, National Human Genome Research Institute (NHGRI), National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - Elina M Kaikkonen
- Department of Medical Biochemistry and Genetics, University of Turku, 20520, Turku, Finland
| | - Csilla Sipeky
- Department of Medical Biochemistry and Genetics, University of Turku, 20520, Turku, Finland
| | - Teuvo Tammela
- Department of Urology, University of Tampere and Tampere University Hospital, 33520, Tampere, Finland
| | - Johanna Schleutker
- Tyks Microbiology and Genetics, Department of Medical Genetics, Turku University Hospital, 20520, Turku, Finland
| | - Kathleen E Wiley
- Brady Urological Institute, Johns Hopkins University, Baltimore, MD, 21287, USA
| | - Sarah D Isaacs
- Brady Urological Institute, Johns Hopkins University, Baltimore, MD, 21287, USA
| | - Patrick C Walsh
- Brady Urological Institute, Johns Hopkins University, Baltimore, MD, 21287, USA
| | - William B Isaacs
- Brady Urological Institute, Johns Hopkins University, Baltimore, MD, 21287, USA
| | - Jianfeng Xu
- Program for Personalized Cancer Care, NorthShore University Health System, Evanston, IL, 60201, USA
| | | | - Olivier Cussenot
- CeRePP, Hopital Tenon, Assistance Publique-Hopitaux de Paris, 75020, Paris, France
| | - Diptasri Mandal
- Department of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA, 70112, USA
| | - Cecelia Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Cathy Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Stephen N Thibodeau
- Department of Lab Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Rosalind A Eeles
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, SW7 3RP, UK
| | - Zsofia Kote-Jarai
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, SW7 3RP, UK
| | - Lisa Cannon-Albright
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, 84148, USA
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20
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Chung RH, Tsai WY, Kang CY, Yao PJ, Tsai HJ, Chen CH. FamPipe: An Automatic Analysis Pipeline for Analyzing Sequencing Data in Families for Disease Studies. PLoS Comput Biol 2016; 12:e1004980. [PMID: 27272119 PMCID: PMC4894624 DOI: 10.1371/journal.pcbi.1004980] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 05/12/2016] [Indexed: 11/18/2022] Open
Abstract
In disease studies, family-based designs have become an attractive approach to analyzing next-generation sequencing (NGS) data for the identification of rare mutations enriched in families. Substantial research effort has been devoted to developing pipelines for automating sequence alignment, variant calling, and annotation. However, fewer pipelines have been designed specifically for disease studies. Most of the current analysis pipelines for family-based disease studies using NGS data focus on a specific function, such as identifying variants with Mendelian inheritance or identifying shared chromosomal regions among affected family members. Consequently, some other useful family-based analysis tools, such as imputation, linkage, and association tools, have yet to be integrated and automated. We developed FamPipe, a comprehensive analysis pipeline, which includes several family-specific analysis modules, including the identification of shared chromosomal regions among affected family members, prioritizing variants assuming a disease model, imputation of untyped variants, and linkage and association tests. We used simulation studies to compare properties of some modules implemented in FamPipe, and based on the results, we provided suggestions for the selection of modules to achieve an optimal analysis strategy. The pipeline is under the GNU GPL License and can be downloaded for free at http://fampipe.sourceforge.net.
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Affiliation(s)
- Ren-Hua Chung
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
- * E-mail:
| | - Wei-Yun Tsai
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Chen-Yu Kang
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Po-Ju Yao
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Hui-Ju Tsai
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
- Department of Public Health, China Medical University, Taichung, Taiwan
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Chia-Hsiang Chen
- Department of Psychiatry, Chang Gung Memorial Hospital-Linkou, Gueishan, Taoyuan, Taiwan
- Department and Graduate Institute of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan
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21
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Subaran RL, Odgerel Z, Swaminathan R, Glatt CE, Weissman MM. Novel variants in ZNF34 and other brain-expressed transcription factors are shared among early-onset MDD relatives. Am J Med Genet B Neuropsychiatr Genet 2016; 171B:333-41. [PMID: 26823146 PMCID: PMC5832964 DOI: 10.1002/ajmg.b.32408] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2015] [Accepted: 11/17/2015] [Indexed: 11/11/2022]
Abstract
There are no known genetic variants with large effects on susceptibility to major depressive disorder (MDD). Although one proposed study approach is to increase sensitivity by increasing sample sizes, another is to focus on families with multiple affected individuals to identify genes with rare or novel variants with strong effects. Choosing the family-based approach, we performed whole-exome analysis on affected individuals (n = 12) across five MDD families, each with at least five affected individuals, early onset, and prepubertal diagnoses. We identified 67 genes where novel deleterious variants were shared among affected relatives. Gene ontology analysis shows that of these 67 genes, 18 encode transcriptional regulators, eight of which are expressed in the human brain, including four KRAB-A box-containing Zn(2+) finger repressors. One of these, ZNF34, has been reported as being associated with bipolar disorder and as differentially expressed in bipolar disorder patients compared to healthy controls. We found a novel variant-encoding a non-conservative P17R substitution in the conserved repressor domain of ZNF34 protein-segregating completely with MDD in all available individuals in the family in which it was discovered. Further analysis showed a common ZNF34 coding indel segregating with MDD in a separate family, possibly indicating the presence of an unobserved, linked, rare variant in that particular family. Our results indicate that genes encoding transcription factors expressed in the brain might be an important group of MDD candidate genes and that rare variants in ZNF34 might contribute to susceptibility to MDD and perhaps other affective disorders.
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Affiliation(s)
| | - Zagaa Odgerel
- New York State Psychiatric Institute, New York, New York
| | | | - Charles E. Glatt
- Department of Psychiatry, Weill Medical College of Cornell University, New York, New York
| | - Myrna M. Weissman
- New York State Psychiatric Institute, New York, New York,Columbia University College of Physicians and Surgeons, New York, New York,Correspondence to: Myrna M. Weissman, PhD, Diane Goldman Kemper Family Professor of Epidemiology in Psychiatry, College of Physicians and Surgeons and Mailman School of Public Health, Columbia University, Chief, Division of Epidemiology, New York State Psychiatric Institute, 1051 Riverside Drive Unit 24, New York, NY 10032.
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22
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Bureau A, Parker MM, Ruczinski I, Taub MA, Marazita ML, Murray JC, Mangold E, Noethen MM, Ludwig KU, Hetmanski JB, Bailey-Wilson JE, Cropp CD, Li Q, Szymczak S, Albacha-Hejazi H, Alqosayer K, Field LL, Wu-Chou YH, Doheny KF, Ling H, Scott AF, Beaty TH. Whole exome sequencing of distant relatives in multiplex families implicates rare variants in candidate genes for oral clefts. Genetics 2014; 197:1039-44. [PMID: 24793288 PMCID: PMC4096358 DOI: 10.1534/genetics.114.165225] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Accepted: 04/22/2014] [Indexed: 02/04/2023] Open
Abstract
A dozen genes/regions have been confirmed as genetic risk factors for oral clefts in human association and linkage studies, and animal models argue even more genes may be involved. Genomic sequencing studies should identify specific causal variants and may reveal additional genes as influencing risk to oral clefts, which have a complex and heterogeneous etiology. We conducted a whole exome sequencing (WES) study to search for potentially causal variants using affected relatives drawn from multiplex cleft families. Two or three affected second, third, and higher degree relatives from 55 multiplex families were sequenced. We examined rare single nucleotide variants (SNVs) shared by affected relatives in 348 recognized candidate genes. Exact probabilities that affected relatives would share these rare variants were calculated, given pedigree structures, and corrected for the number of variants tested. Five novel and potentially damaging SNVs shared by affected distant relatives were found and confirmed by Sanger sequencing. One damaging SNV in CDH1, shared by three affected second cousins from a single family, attained statistical significance (P = 0.02 after correcting for multiple tests). Family-based designs such as the one used in this WES study offer important advantages for identifying genes likely to be causing complex and heterogeneous disorders.
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Affiliation(s)
- Alexandre Bureau
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Québec and Département de Médecine Sociale et Préventive, Université Laval, Québec, QC G1V 0A6, Canada
| | - Margaret M Parker
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205
| | - Ingo Ruczinski
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205
| | - Margaret A Taub
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205
| | - Mary L Marazita
- Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15219
| | - Jeffrey C Murray
- Department of Pediatrics, School of Medicine, University of Iowa, Iowa City, Iowa 52242
| | - Elisabeth Mangold
- Institute of Human Genetics, University of Bonn, Bonn, Germany D-53111
| | - Markus M Noethen
- Institute of Human Genetics, University of Bonn, Bonn, Germany D-53111
| | - Kirsten U Ludwig
- Institute of Human Genetics, University of Bonn, Bonn, Germany D-53111
| | - Jacqueline B Hetmanski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205
| | - Joan E Bailey-Wilson
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore Maryland 21121
| | - Cheryl D Cropp
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore Maryland 21121
| | - Qing Li
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore Maryland 21121
| | - Silke Szymczak
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore Maryland 21121
| | | | | | - L Leigh Field
- Department of Human Genetics, University of British Columbia, Vancouver, Canada V6T1Z3
| | - Yah-Huei Wu-Chou
- Laboratory of Human Molecular Genetics, Chang Gung Memorial Hospital, Taipei, Taiwan 333
| | - Kimberly F Doheny
- Center for Inherited Disease Research, Johns Hopkins School of Medicine, Baltimore Maryland 21224
| | - Hua Ling
- Center for Inherited Disease Research, Johns Hopkins School of Medicine, Baltimore Maryland 21224
| | - Alan F Scott
- Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland 21224
| | - Terri H Beaty
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205
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