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Published in final edited form as: Neuron. 2016 Oct 19;92(2):333–335. doi: 10.1016/j.neuron.2016.09.052

NR1H3 p.Arg415Gln Is Not Associated to Multiple Sclerosis Risk

The International Multiple Sclerosis Genetics Consortium1,*
PMCID: PMC5641967  NIHMSID: NIHMS910422  PMID: 27764667

SUMMARY

A recent study by Wang et al. (2016a) claims that the low-frequency variant NR1H3 p.Arg415Gln is sufficient to cause multiple sclerosis in certain individuals and determines a patient’s likelihood of primary progressive disease. We sought to replicate this finding in the International MS Genetics Consortium (IMSGC) patient collection, which is 13-fold larger than the collection of Wang et al. (2016a), but we find no evidence that this variant is associated with either MS or disease subtype. Wang et al. (2016a) also report a common variant association in the region, which we show captures the association the IMSGC reported in 2013. Therefore, we conclude that the reported low-frequency association is a false positive, likely generated by insufficient sample size. The claim of NR1H3 mutations describing a Mendelian form of MS—of which no examples exist—can therefore not be substantiated by data. This Matters Arising paper is in response to Wang et al. (2016a), published in Neuron. See also the related Matters Arising paper by Minikel and MacArthur (2016) and the response by Wang et al. (2016b), published in this issue.

INTRODUCTION

In a recent study, Wang et al. claim an association to multiple sclerosis risk on chromosome 11p11.2 in the locus encoding NR1H3 (Wang et al. 2016a; Hain and Hakonarson 2016). They sequenced the exomes of two affected individuals from a multiplex family (designated MS1) and selected 37 low-frequency missense variants found in both individuals for further study. After genotyping these variants in the nine members of that pedigree—including the initial two cases—and 185 controls, they excluded 33/37 variants and then genotyped the remaining four variants in 2,053 MS patients and 799 healthy controls. They detected one variant, rs61731956 (NR1H3 p.Arg415Gln; GenBank: NM_005693.3; c.1244G>A), in a single additional case from another multiplex family (MS2), and from segregation analysis inferred that another four MS2 individuals were carriers, though only one of these has MS. Based on these four heterozygous cases, they claim linkage with a LOD score of 2.2, though the commonly accepted standard for significance is LOD > 3.0 (Kruglyak and Lander 1995).

RESULTS AND DISCUSSION

We sought to validate the association of rs61731956 with MS susceptibility in our ongoing study of low-frequency missense variation in MS. After stringent quality control, we used linear mixed models to meta-analyze 32,852 cases and 36,538 controls of European ancestry in 14 country-level strata, genotyped for 250,000 low-frequency non-synonymous variants across all exons using Illumina’s HumanCore Exome array. We detected the minor allele rs61731956-A in nine of our strata but find no evidence of association with overall MS risk (meta-analysis β = 0.06, p = 0.32; Table 1). As Wang et al. (2016a) report this association specifically with primary progressive MS (PPMS), we compared 1,399 PPMS cases to 13,537 relapsing remitting MS (RRMS) cases directly in six strata with available clinical course information and also find no evidence of association with disease subtype (meta-analysis β = 2.35, p = 0.39; Table 2). Our previous linkage analysis of >700 multiplex families (Sawcer et al. 2005) further supports this conclusion (multipoint LOD = 0.0), as does earlier work from the Canadian Collaborative Project on the Genetic Susceptibility to Multiple Sclerosis (CCPGSMS), with no evidence of linkage in 40 Canadian families with four or more affected individuals, authored by members of the Wang et al. (2016a) study team (Willer et al. 2007).

Table 1.

NR1H3 p.Arg415Gln Is Not Associated to Multiple Sclerosis Risk

Alleles Minor Allele Frequency Case Allele Counts Control Allele Counts Association
Minor Major All Cases Controls A1 A2 A1 A2 p OR Cochran’s Q I2
Denmark A G 0.00020 0 0.00040 0 2,534 1 2,475 0.375
Germany A G 0.00025 0 0.00026 2 8,950 3 11,425 0.845
Italy A G 0.00048 0.00065 0.00032 2 3,058 1 3,161 0.677
Netherlands A G 0.00042 0.00087 0.00028 1 1,151 1 3,609 0.317
Norway A G 0.00116 0.00127 0.00098 2 1,572 1 1,015 0.822
Sweden A G 0.00041 0.00053 0.00027 7 13,139 3 10,989 0.331
UK/Austrailia A G 0.00060 0.00054 0.00064 9 16,559 15 23,263 0.963
USA/Boston A G 0.00050 0.00042 0.00060 5 11,931 6 10,046 0.955
USA/UCSF A G 0.00048 0.00083 0.00000 3 3,627 0 2,660 0.127
Meta-analysis A G 31 31 0.3293 1.064 0.825 0

We meta-analyzed 32,852 cases and 36,538 controls of European ancestry in 14 country-level strata using linear mixed models to control for stratification. We detected the minor allele rs61731956-A in nine of our strata, but find no evidence of association to overall MS risk.

Table 2.

NR1H3 p.Arg415Gln Is Not Associated to MS Clinical Course

Frequency in PPMS Cases Effect size (β) Standard Error p Cochran’s Q I2
Italy 0 Na
Netherlands 0 Na
Norway 0.0013 −0.08 0.19 0.66
Sweden 0.0006 0.09 0.09 0.34
UK/Australia 0.0007 0.11 0.11 0.34
USA/UCSF 0.0012 −0.08 0.17 0.65
Meta-analysis 2.32 0.39 0.69 0

We compared 1,399 PPMS cases and 13,537 RRMS cases directly in six strata with available clinical course information and also find no evidence of association between rs61731956-A and clinical subtype.

Based on their interpretation of segregation patterns for rs61731956, Wang et al. (2016a) go on to genotype common variants in the NR1H3 locus in 2,053 MS patients and 799 healthy controls, but fail to detect any association with overall MS risk. They then report that four of their familial cases have a clinical course consistent with that of PPMS and perform a secondary, stratified analysis of clinical course with the five tagging SNPs. They reduce their sample size to 420 PPMS and 1,287 RRMS patients for whom clinical course information was available and describe an association between rs2279238 (OR = 1.35, p = 0.001) and PPMS, but not RRMS, risk. The IMSGC has already reported a disease risk association in this region (International Multiple Sclerosis Genetics Consortium, 2013) based on 14,498 MS cases and 24,091 controls to rs7120737, which is 420 kb away and in moderate LD with rs2279238 (r2 = 0.62, D′ = 0.82 between the two variants in the 1000 Genomes CEU panel; IMSGC OR = 1.10, p = 1 × 10−9 for rs7120737-G). We also genotyped rs3824866, a perfect proxy for rs2279238 (r2 = 1, D′ = 1 in the 1000 Genomes CEU panel), which shows modest association to MS risk (p = 2.1 × 10−5). Conditioning on rs7120737 fully explains this association, indicating that the result reported by Wang et al. (2016a) is a modest proxy for the strong signal we have previously reported.

Our 13-fold larger dataset therefore supports a more conventional interpretation of the data presented by Wang et al. (2016a): there is no association between the low-frequency NR1H3 p.Arg415Gln variant rs61731956 and MS risk, but a common haplotype spanning the NR1H3 locus is associated with overall MS susceptibility, despite the failure of Wang et al. (2016a) to detect it in their modestly sized cohort. Our data does not support an association specific to clinical course or PPMS. The false positive likely arose because Wang et al. (2016a) base their conclusions on a total of four affected carriers of the variant and contravene standard practice by analyzing only five polymorphisms in the NR1H3 locus, not controlling for population stratification, and failing to meet rigorous thresholds of significance for common variation (p < 5 × 10−8) or for family-based linkage (LOD > 3) (Altshuler et al. 2008; Kruglyak and Lander 1995).

Beyond these technical issues, Wang et al. (2016a) appear to have succumbed to an error in logic in their analysis. Although individually rare, coding variants are exceedingly common in the population: of 7,404,909 variants identified by the Exome Aggregation Consortium (ExAC) in 60,706 individuals, 99% have a minor allele frequency of <1% and 54% are seen exactly once in those data (Exome Aggregation Consortium, 2016). Therefore, there is complete certainty of observing at least one such variant in two closely related individuals, as Wang et al. (2016a) have done. This is reinforced by their observation of rs61731956-A in multiple unaffected individuals and the presence of this variant in 21/60,706 unselected ExAC individuals. This is not a unique false positive finding, as previous studies of equivalently small sample size have reported MS risk associations to low-frequency coding variants in CYP27B1 (Ramagopalan et al. 2011) and SAIE (Surolia et al. 2010), with both results failing to replicate in much larger studies with adequate statistical power (Hunt et al. 2011; Ban et al. 2013; Barizzone et al. 2013).

We note that the experimental demonstration that p.Arg415Gln alters the heterodimerization efficiency between the NR1H3 product liver X receptor alpha and the retinoid X receptor alpha has no bearing on the association to MS pathogenesis. Many non-synonymous variants have dramatic effects on protein function, but in the absence of robust association to disease this alone cannot support a pathogenic argument (MacArthur et al. 2014).

The combination of our negative results from a 13-fold larger dataset and the methodological and logical flaws in the work presented by Wang et al. (2016a) categorically refute the bold claim that NR1H3 variation defines a Mendelian subtype of MS, which would be the first monogenic form of the disease ever described. Such a discovery would have enormous implications for diagnosis of a subset of cases, prognosis, and genetic counselling of extended family members, and eventually for clinical management of the disease in carriers. Unfortunately, the evidence provided by Wang et al. (2016a) does not support this conclusion.

Supplementary Material

supplemental information

CONSORTIA

Members of The International Multiple Sclerosis Genetics Consortium are Jack Antel, Maria Ban, Sergio Baranzini, Lisa Barcellos, Nadia Barizzone, Ashley Beecham, Tone Berge, Luisa Bernardinelli, David Booth, Steffan Bos, Dorothea Buck, Mariusz Butkiewicz, Elisabeth G. Celius, Manuel Comabella, Alastair Compston, Katrina Dedham, Chris Cotsapas, Sandra D’Alfonso, Phil De Jager, Benedicte Dubois, Pierre Duquette, Bertrand Fontaine, Christiane Gasperi, Elia Gil, An Goris, Pierre Antoine Gourraud, Christiane Graetz, Alexandra Gyllenberg, Georgios Hadjigeorgiou, David Hafler, Deanna Hribko, Jonathan Haines, Hanne Harbo, Stephen Hauser, Shannon Warto, Clive Hawkins, Bernhard Hemmer, Roland Henry, Rogier Hintzen, Dana Horakova, Adrian Ivinson, Melissa Howard, Ilijas Jelcic, Belinda Kaskow, Jun-Ichi Kira, Pavlina Kleinova, Ingrid Kockum, Karolina Kucerova, Christina M. Lill, Felix Luessi, Sunny Malhotra, Roland Martin, Filippo Martinelli, Takuya Matsushita, Cristin McCabe, Jacob McCauley, Julia Mescheriakkova, Mitja Mitrovic, Stine-Marit Moen, Xavier Montalban, Mark Muhlau, Yuri Nakmura, Jorge Oksenberg, Tomas Olsson, Annette Oturai, Aarno Palotie, Nikolaos Patsopoulos, Jana Pavlicova, Peggy Pericak-Vance, Fredrik Piehl, Isabelle Rebeix, John Rioux, Janna Saarela, Stephen Sawcer, Finn Sellebjerg, Helle Bach Sondergaard, Per Soelberg Sorensen, Mireia Sospedra, Anne Spurkland, Graeme Stewart, Bruce Taylor, Andre Uitterlinden, Cornelia Van Duijn, Frauke Zipp.

Footnotes

SUPPLEMENTAL INFORMATION

A list of affiliations for The International Multiple Sclerosis Genetics Consortium members is available in the Supplemental Information at http://dx.doi.org/10.1016/j.neuron.2016.09.052.

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